html_url
stringlengths 48
51
| title
stringlengths 5
268
| comments
stringlengths 70
51.8k
| body
stringlengths 0
29.8k
| comment_length
int64 16
1.52k
| text
stringlengths 164
54.1k
| embeddings
sequence |
|---|---|---|---|---|---|---|
https://github.com/huggingface/datasets/issues/228 | Not able to access the XNLI dataset | Thanks for reporting this bug !
As it seems to be just a cache problem, I closed your PR.
I think we might just need to clear and reload the `xnli` cache @srush ? | When I try to access the XNLI dataset, I get the following error. The option of plain_text get selected automatically and then I get the following error.
```
FileNotFoundError: [Errno 2] No such file or directory: '/home/sasha/.cache/huggingface/datasets/xnli/plain_text/1.0.0/dataset_info.json'
Traceback:
File "/home/sasha/.local/lib/python3.7/site-packages/streamlit/ScriptRunner.py", line 322, in _run_script
exec(code, module.__dict__)
File "/home/sasha/nlp_viewer/run.py", line 86, in <module>
dts, fail = get(str(option.id), str(conf_option.name) if conf_option else None)
File "/home/sasha/.local/lib/python3.7/site-packages/streamlit/caching.py", line 591, in wrapped_func
return get_or_create_cached_value()
File "/home/sasha/.local/lib/python3.7/site-packages/streamlit/caching.py", line 575, in get_or_create_cached_value
return_value = func(*args, **kwargs)
File "/home/sasha/nlp_viewer/run.py", line 72, in get
builder_instance = builder_cls(name=conf)
File "/home/sasha/.local/lib/python3.7/site-packages/nlp/builder.py", line 610, in __init__
super(GeneratorBasedBuilder, self).__init__(*args, **kwargs)
File "/home/sasha/.local/lib/python3.7/site-packages/nlp/builder.py", line 152, in __init__
self.info = DatasetInfo.from_directory(self._cache_dir)
File "/home/sasha/.local/lib/python3.7/site-packages/nlp/info.py", line 157, in from_directory
with open(os.path.join(dataset_info_dir, DATASET_INFO_FILENAME), "r") as f:
```
Is it possible to see if the dataset_info.json is correctly placed? | 34 | Not able to access the XNLI dataset
When I try to access the XNLI dataset, I get the following error. The option of plain_text get selected automatically and then I get the following error.
```
FileNotFoundError: [Errno 2] No such file or directory: '/home/sasha/.cache/huggingface/datasets/xnli/plain_text/1.0.0/dataset_info.json'
Traceback:
File "/home/sasha/.local/lib/python3.7/site-packages/streamlit/ScriptRunner.py", line 322, in _run_script
exec(code, module.__dict__)
File "/home/sasha/nlp_viewer/run.py", line 86, in <module>
dts, fail = get(str(option.id), str(conf_option.name) if conf_option else None)
File "/home/sasha/.local/lib/python3.7/site-packages/streamlit/caching.py", line 591, in wrapped_func
return get_or_create_cached_value()
File "/home/sasha/.local/lib/python3.7/site-packages/streamlit/caching.py", line 575, in get_or_create_cached_value
return_value = func(*args, **kwargs)
File "/home/sasha/nlp_viewer/run.py", line 72, in get
builder_instance = builder_cls(name=conf)
File "/home/sasha/.local/lib/python3.7/site-packages/nlp/builder.py", line 610, in __init__
super(GeneratorBasedBuilder, self).__init__(*args, **kwargs)
File "/home/sasha/.local/lib/python3.7/site-packages/nlp/builder.py", line 152, in __init__
self.info = DatasetInfo.from_directory(self._cache_dir)
File "/home/sasha/.local/lib/python3.7/site-packages/nlp/info.py", line 157, in from_directory
with open(os.path.join(dataset_info_dir, DATASET_INFO_FILENAME), "r") as f:
```
Is it possible to see if the dataset_info.json is correctly placed?
Thanks for reporting this bug !
As it seems to be just a cache problem, I closed your PR.
I think we might just need to clear and reload the `xnli` cache @srush ? | [
-0.14086730778217316,
-0.1892593950033188,
-0.03353660926222801,
0.4693676829338074,
0.40544605255126953,
0.11200098693370819,
0.05603647604584694,
0.35449883341789246,
-0.10948893427848816,
0.29277610778808594,
-0.14041024446487427,
0.16212044656276703,
0.050227634608745575,
-0.028046416118741035,
0.050541575998067856,
-0.03532493859529495,
-0.16912731528282166,
0.15102030336856842,
0.13207347691059113,
0.005323123186826706,
-0.17077098786830902,
0.04558214917778969,
-0.269063800573349,
0.258741557598114,
-0.28670641779899597,
-0.08528313040733337,
0.09144605696201324,
0.38597825169563293,
-0.30816975235939026,
-0.5349295139312744,
0.04508195072412491,
-0.14433525502681732,
0.24077387154102325,
0.19576595723628998,
-0.00011105803423561156,
0.049332939088344574,
0.26291322708129883,
-0.05734888091683388,
-0.5286890268325806,
-0.14541779458522797,
-0.35688552260398865,
-0.1231442391872406,
-0.014699206687510014,
-0.3132307231426239,
-0.12878146767616272,
-0.2209601253271103,
0.4022443890571594,
-0.3689225912094116,
0.27180513739585876,
0.31527572870254517,
0.2039080262184143,
0.20004284381866455,
0.1218271255493164,
-0.0547143891453743,
0.049337755888700485,
0.13519403338432312,
-0.13144788146018982,
-0.01397060789167881,
0.2392851859331131,
0.1932622790336609,
0.1636674851179123,
0.45788300037384033,
-0.1711951047182083,
-0.11164625734090805,
0.2552073299884796,
0.24384237825870514,
-0.03029867634177208,
-0.16049787402153015,
0.3209938704967499,
0.23313458263874054,
0.44375672936439514,
-0.43328917026519775,
-0.433499276638031,
-0.11148592084646225,
-0.0038185573648661375,
-0.2649720311164856,
0.24886402487754822,
0.1001942902803421,
-0.31770753860473633,
0.1554601490497589,
-0.11993837356567383,
-0.3665497303009033,
-0.36813774704933167,
0.14540188014507294,
0.26279720664024353,
0.3802296817302704,
-0.05968890339136124,
0.0670861005783081,
-0.061199408024549484,
-0.1958378702402115,
0.05281243845820427,
-0.08949365466833115,
-0.16413246095180511,
0.3026692867279053,
-0.22698448598384857,
0.12764638662338257,
0.13528870046138763,
0.057152315974235535,
0.11984661221504211,
0.36280354857444763,
0.2032436579465866,
-0.18401408195495605,
-0.37554052472114563,
0.06257743388414383,
-0.2645843029022217,
0.42281022667884827,
0.29570093750953674,
0.14088575541973114,
0.38271573185920715,
-0.008944886736571789,
0.22189567983150482,
-0.36490076780319214,
-0.2945748567581177,
-0.16017690300941467,
-0.11438383162021637,
0.2509688138961792,
0.3615806996822357,
-0.1595381647348404,
-0.24764789640903473,
-0.0595756396651268,
-0.12639573216438293,
0.01934901811182499,
0.20292766392230988,
0.5645591020584106,
0.05364596098661423,
0.18948371708393097,
0.03513291850686073,
0.32177770137786865,
0.053703561425209045,
-0.5332473516464233,
-0.17430844902992249,
0.216541588306427,
-0.30879613757133484,
0.14569483697414398,
0.310526579618454,
-0.3313242197036743,
0.30016303062438965,
-0.11575473099946976,
-0.30328500270843506,
0.0032360709737986326,
0.12947247922420502,
-0.1749178171157837,
0.10203266888856888,
0.07796114683151245,
0.09318613260984421,
0.10305090993642807,
0.19042626023292542,
-0.0799684152007103,
0.06550320982933044,
-0.0332774892449379,
-0.047192495316267014,
-0.48522502183914185,
0.025507068261504173,
0.13068552315235138,
0.07165248692035675,
-0.009505627676844597,
-0.08786679059267044,
-0.05430307611823082,
0.19623017311096191,
-0.22172188758850098,
-0.11173594743013382,
0.11289877444505692,
-0.02556431293487549,
-0.27134573459625244,
0.21264219284057617,
0.5540777444839478,
-0.313611775636673,
0.2092668116092682,
-0.19852620363235474,
-0.1348922848701477,
0.16316285729408264,
0.36284351348876953,
-0.11672932654619217,
0.07758820801973343,
-0.3848819434642792,
0.32663220167160034,
0.6447758674621582,
-0.5202512145042419,
-0.5076890587806702,
0.281650573015213,
-0.22235873341560364,
-0.07156804203987122,
0.5067176222801208,
0.24071164429187775,
-0.06453099101781845,
-0.11318366974592209,
0.04700065031647682,
0.11700887978076935,
0.04672114923596382,
-0.08850125223398209,
-0.11148851364850998,
-0.24508868157863617,
0.3402372896671295,
0.11302019655704498,
-0.030680567026138306,
0.132090762257576,
-0.029109716415405273,
0.16131943464279175,
0.3716827630996704,
-0.2910832464694977,
0.151186004281044,
0.2840609550476074,
0.30056697130203247,
0.03720917925238609,
-0.1425778716802597,
-0.11960358172655106,
-0.2946610152721405,
0.23998598754405975,
-0.09203005582094193,
-0.020116332918405533,
-0.30888083577156067,
0.00025334686506539583,
-0.11308930814266205,
-0.0409194678068161,
-0.38762593269348145,
-0.2783125638961792,
0.19049637019634247,
0.45270541310310364,
0.22734399139881134,
-0.01965280994772911,
-0.28994232416152954,
0.31739184260368347,
-0.4826754033565521,
0.002716717543080449,
-0.6354674696922302,
0.12806348502635956,
-0.09318788349628448,
-0.14903484284877777,
-0.16396395862102509,
0.1639254093170166,
0.023549996316432953,
-0.0028481101617217064,
-0.09274742752313614,
0.2124699354171753,
-0.2380760759115219,
0.08131196349859238,
0.2638709843158722,
0.10236212611198425,
0.03820393979549408,
-0.5709121823310852,
0.337582528591156,
0.471760094165802,
0.22842155396938324,
0.08941147476434708,
-0.2693725526332855,
0.11830697953701019,
-0.0825481116771698,
0.0903005376458168,
0.043728042393922806,
0.01720329001545906,
0.46662530303001404,
0.014810673892498016,
0.06998161971569061,
-0.21279384195804596,
0.3003251254558563,
0.21648988127708435,
0.46217772364616394,
-0.08612532913684845,
-0.5364862680435181,
0.08613129705190659,
0.279600590467453,
0.06051954627037048,
-0.09864404052495956,
-0.01093630027025938,
-0.3510042428970337,
-0.04163467511534691,
0.055063143372535706,
0.22897891700267792,
0.28139010071754456,
0.22780916094779968,
-0.06535445898771286,
0.08311142027378082,
0.09837327152490616,
-0.2621801793575287,
0.1807290017604828,
-0.25792714953422546,
0.10123013705015182,
0.26987096667289734,
0.19980137050151825,
0.03205357864499092,
-0.03564421087503433,
-0.5033636093139648,
0.07216988503932953,
0.44549039006233215,
-0.2703445553779602,
-0.17282365262508392,
-0.1369037926197052,
-0.6854809522628784,
0.060650646686553955,
0.07638580352067947,
-0.11054092645645142,
-0.34322455525398254,
-0.02222832664847374,
0.18775984644889832,
0.21456144750118256,
-0.07199577987194061,
-0.09505292773246765,
0.07554131001234055,
0.06864757835865021,
-0.10940901190042496,
-0.41933175921440125,
-0.3149597942829132,
-0.20777536928653717,
0.04685645550489426,
0.27079495787620544,
-0.02280697040259838,
0.24694304168224335,
-0.2802794277667999,
0.06392866373062134,
-0.4144374430179596,
-0.025489769876003265,
0.023476963862776756,
0.029296601191163063,
-0.0004743135941680521,
-0.03406819328665733,
0.48188820481300354,
0.47751712799072266,
-0.062323737889528275,
0.34758952260017395,
0.04154730215668678,
-0.17423060536384583,
0.2578032612800598,
-0.21523937582969666,
-0.23448677361011505,
-0.04180895909667015,
-0.5249137282371521,
-0.35636940598487854,
-0.3282740116119385,
0.08275364339351654,
-0.13988102972507477,
0.0803988054394722,
0.31809043884277344,
-0.1464771330356598,
0.2062617689371109,
-0.03888341411948204,
0.19586744904518127,
-0.07545904070138931,
-0.2256142646074295,
0.3382493555545807,
-0.16139675676822662,
-0.2159951776266098,
0.23609325289726257,
0.06490588188171387,
0.21008798480033875,
-0.04124198481440544,
-0.23060105741024017,
0.17212596535682678,
-0.22557012736797333,
0.28446343541145325,
-0.1305036097764969,
-0.15192051231861115,
0.34998252987861633,
-0.010504299774765968,
-0.0014597176341339946,
0.004380505066365004,
0.01188093051314354,
0.11780867725610733,
0.010027376934885979,
0.571620762348175,
0.20394249260425568,
0.41344502568244934,
0.14451955258846283,
0.3723565638065338,
0.44866421818733215,
0.026759330183267593,
0.32839006185531616,
-0.26213935017585754,
0.0669078454375267,
-0.06588185578584671,
-0.3156568706035614,
0.11945436894893646,
0.17475633323192596,
-0.17332448065280914,
-0.10797219723463058,
0.138683021068573,
0.38894420862197876,
-0.33151981234550476,
-0.13302171230316162,
-0.2874072194099426,
-0.08548351377248764,
-0.14637787640094757,
0.02025029808282852,
0.011118978261947632,
0.12911097705364227,
0.2093753218650818,
-0.34255450963974,
-0.3424661159515381,
-0.11213251948356628,
0.4633776545524597,
0.0023362934589385986,
0.15231388807296753,
-0.2744362950325012,
-0.28418034315109253,
-0.5618224143981934,
0.48062583804130554,
0.11800606548786163,
0.21206669509410858,
-0.2758864164352417,
0.12500028312206268,
0.2663460671901703,
0.022575542330741882,
0.3283258378505707,
-0.3004832863807678,
0.25636452436447144,
0.08078701049089432,
-0.09893045574426651,
-0.23588041961193085,
0.1696392297744751,
-0.15016189217567444,
0.1985001564025879,
0.33587154746055603,
0.19395440816879272,
-0.160841166973114,
-0.11107291281223297,
-0.016944129019975662,
0.10838181525468826,
-0.1749693900346756,
-0.21759386360645294,
-0.017783721908926964,
-0.0037044950295239687,
-0.16341423988342285,
-0.328482985496521,
-0.1715681403875351,
0.24727433919906616,
0.13296154141426086,
0.33589187264442444,
0.04687206819653511,
-0.07427357882261276,
0.17847338318824768,
0.22041575610637665,
0.33928728103637695,
-0.09613542258739471,
-0.15330880880355835,
0.1652642786502838,
0.2498362809419632,
0.07175866514444351,
0.49867498874664307,
0.28984472155570984,
-0.3622654974460602,
-0.014100667089223862,
-0.22840864956378937,
0.12723597884178162,
0.2903362810611725,
-0.25874918699264526,
0.10405367612838745,
0.034366361796855927,
-0.00782689731568098,
0.0616951584815979,
-0.09590546786785126,
0.25131773948669434,
0.03154374659061432,
-0.1259423941373825,
-0.3986915946006775,
0.32729730010032654,
0.10116904973983765,
0.003972935024648905,
0.4540020525455475,
-0.14631907641887665,
-0.22761699557304382,
0.023734675720334053,
0.05723154917359352,
0.9369785785675049,
0.12992772459983826,
0.22923718392848969,
0.3930838406085968,
0.16831186413764954,
0.5260001420974731,
-0.30351364612579346,
0.36880162358283997,
-0.38715463876724243,
-0.08039484173059464,
-0.0029480515513569117,
-0.11370399594306946,
-0.011664546094834805,
-0.1774902492761612,
-0.08031443506479263,
0.23407699167728424,
-0.15633440017700195,
0.00611140625551343,
-0.09859159588813782,
0.2628976106643677,
-0.3349466025829315,
-0.09046969562768936,
-0.46061474084854126,
0.0847524031996727,
-0.20800389349460602,
0.3349795937538147,
-0.10503844916820526,
-0.1498464047908783,
-0.38530439138412476,
0.1126159206032753,
-0.42020905017852783,
0.37589675188064575,
-0.0859742984175682,
0.12252394109964371,
-0.07361681759357452,
-0.3276995122432709,
-0.05533306673169136,
0.6137094497680664,
0.5807364583015442,
0.0501268096268177,
-0.33917272090911865,
0.007756409700959921,
-0.21130119264125824,
-0.023090843111276627,
-0.09389214962720871,
0.15532875061035156,
0.33820468187332153,
-0.04085510969161987,
-0.30917733907699585,
0.5142865777015686,
-0.11258584260940552,
0.016242269426584244,
-0.2366236448287964,
-0.25668174028396606,
-0.24029716849327087,
-0.043224040418863297,
-0.1230141818523407,
0.01992630772292614,
-0.12974593043327332,
0.025179490447044373,
0.09974995255470276,
0.012665953487157822,
-0.23290403187274933,
-0.2464853972196579,
-0.1339302361011505,
-0.1444869339466095,
0.18300442397594452,
0.325381875038147,
0.047445446252822876,
0.1761949509382248,
0.6140017509460449,
0.22167590260505676,
-0.0501692108809948,
-0.24814759194850922,
0.06540445238351822,
0.15567706525325775,
-0.2556737959384918,
-0.21238085627555847,
0.10414279252290726,
0.17469249665737152,
0.096544049680233,
0.2774945795536041,
0.18646995723247528,
-0.006257296539843082,
-0.14283394813537598,
-0.448702335357666,
-0.5422465205192566,
0.1517493724822998,
-0.19254674017429352,
0.13901548087596893,
-0.1516946256160736,
0.2596282958984375,
0.11874712258577347,
-0.2652503252029419,
-0.3370278477668762,
-0.09570170193910599,
-0.32341060042381287,
-0.005745049100369215,
0.3934481143951416,
0.05905287712812424,
0.19687820971012115,
0.04367268458008766,
0.13710691034793854,
-0.036700136959552765,
-0.2849011719226837,
-0.15982723236083984,
0.048877786844968796,
0.10002417862415314,
0.1371709108352661,
-0.4027869701385498,
-0.11658159643411636,
-0.28826212882995605,
-0.08812721073627472,
-0.1604430079460144,
0.05028767138719559,
0.29853424429893494,
0.03162437304854393,
0.2532196044921875,
-0.31334546208381653,
0.058008331805467606,
-0.2136867344379425,
0.1573789119720459,
-0.15283744037151337,
0.18410615622997284,
0.05986139923334122,
0.12613047659397125,
0.01767575554549694,
0.009883997030556202,
-0.550724446773529,
-0.06257440149784088,
-0.0907987728714943,
0.1829756200313568,
0.11525699496269226,
-0.4182232618331909,
0.22805631160736084,
-0.14199501276016235,
0.1714201122522354,
0.19626367092132568,
-0.03331765905022621,
0.2832377552986145,
0.18114230036735535,
0.18628519773483276,
-0.23866654932498932,
0.20860911905765533,
0.215780109167099,
0.09463916718959808,
-0.09388977289199829,
0.04307954013347626,
-0.049454621970653534,
-0.02566336840391159,
0.2692066729068756,
-0.1024499237537384,
0.3867937922477722,
-0.4072207510471344,
-0.052489642053842545,
0.11946655809879303,
0.07139203697443008,
-0.05252387002110481,
0.11530407518148422,
0.3662637770175934,
0.16459278762340546,
0.7827573418617249,
-0.24703241884708405,
0.14657171070575714,
-0.18498532474040985,
0.3281104862689972,
-0.24878236651420593,
-0.3345986008644104,
-0.33597898483276367,
0.11348120868206024,
-0.294269859790802,
-0.12617403268814087,
-0.18528421223163605,
0.2995415925979614,
-0.10181374847888947,
0.14273475110530853,
-0.23577985167503357,
0.39215415716171265,
-0.14883604645729065,
-0.04539475217461586,
-0.5625836849212646,
-0.22663353383541107,
0.10585590451955795,
-0.1797053962945938,
0.025090746581554413,
0.01599329523742199,
-0.009149348363280296,
0.1309439241886139,
-0.2652382552623749,
-0.40185388922691345,
0.3093724250793457,
0.40477555990219116,
-0.016356229782104492,
-0.2793296277523041,
0.41067326068878174,
0.29058921337127686,
0.06595078855752945,
0.20533108711242676,
0.3192925453186035,
0.42760297656059265,
0.4022080600261688,
0.06650746613740921,
0.20000669360160828,
-0.10694017261266708,
-0.25286200642585754,
-0.013881637714803219,
0.05252344533801079,
0.30146437883377075,
0.05845767632126808,
0.31253117322921753,
0.14970730245113373,
-0.0062344688922166824,
0.14302103221416473,
0.04569145664572716,
0.3462026119232178,
0.09222348034381866,
-0.015020581893622875,
-0.14654797315597534,
-0.24552859365940094,
-0.1894637942314148,
-0.1285674124956131,
-0.5581473708152771,
0.1378030627965927,
0.21281974017620087,
0.2150430977344513,
0.25495705008506775,
-0.004208188503980637,
0.04900941625237465,
-0.06657014787197113,
0.13284258544445038,
0.5250786542892456,
-0.03401148319244385,
-0.27033546566963196,
-0.32096952199935913,
-0.5026273727416992,
0.16537779569625854,
-0.02528504841029644,
-0.4208659529685974,
-0.24853651225566864,
0.12115411460399628,
-0.17552419006824493,
-0.2355567365884781,
0.24101929366588593,
0.1014041155576706,
0.06959380954504013,
0.33923885226249695,
-0.22689945995807648,
-0.33274635672569275,
0.2696407437324524,
0.0531267449259758,
-0.17090114951133728,
-0.17286787927150726,
-0.0946459174156189,
-0.14867638051509857,
0.049000054597854614,
-0.04603859409689903,
0.3904182016849518,
0.007113414816558361,
0.20573078095912933,
0.19779559969902039,
0.19981218874454498,
0.48119643330574036,
0.06806674599647522,
-0.0404394194483757,
-0.3731052577495575,
-0.11173686385154724,
-0.20125903189182281,
-0.041570909321308136,
0.3111204504966736,
0.5081033706665039,
-0.358381986618042,
-0.00834614597260952,
-0.38156816363334656,
0.1278298944234848,
-0.16659346222877502,
-0.01748354732990265,
-0.2955944538116455,
0.3703540861606598,
-0.2835775315761566,
0.23727823793888092,
0.16417279839515686,
-0.04555123671889305,
-0.029033057391643524,
0.10304306447505951,
-0.33316659927368164,
0.0036254317965358496,
0.5232228636741638,
-0.2101983278989792,
-0.23654088377952576,
0.09007932245731354,
0.19331854581832886,
0.11350388824939728,
0.01034716609865427,
-0.33786872029304504,
0.17566758394241333,
0.18242225050926208,
-0.0053519015200436115,
-0.24062062799930573,
-0.08169142156839371,
0.0652153491973877,
0.11355213075876236,
-0.06532713025808334,
-0.1427069753408432,
0.15939858555793762,
-0.07285217195749283,
-0.013610105030238628,
-0.08653882890939713
] |
https://github.com/huggingface/datasets/issues/228 | Not able to access the XNLI dataset | Update: The dataset_info.json error is gone, but we have a new one instead:
```
ConnectionError: Couldn't reach https://www.nyu.edu/projects/bowman/xnli/XNLI-1.0.zip
```
I am not able to reproduce on my side unfortunately. Any idea @srush ? | When I try to access the XNLI dataset, I get the following error. The option of plain_text get selected automatically and then I get the following error.
```
FileNotFoundError: [Errno 2] No such file or directory: '/home/sasha/.cache/huggingface/datasets/xnli/plain_text/1.0.0/dataset_info.json'
Traceback:
File "/home/sasha/.local/lib/python3.7/site-packages/streamlit/ScriptRunner.py", line 322, in _run_script
exec(code, module.__dict__)
File "/home/sasha/nlp_viewer/run.py", line 86, in <module>
dts, fail = get(str(option.id), str(conf_option.name) if conf_option else None)
File "/home/sasha/.local/lib/python3.7/site-packages/streamlit/caching.py", line 591, in wrapped_func
return get_or_create_cached_value()
File "/home/sasha/.local/lib/python3.7/site-packages/streamlit/caching.py", line 575, in get_or_create_cached_value
return_value = func(*args, **kwargs)
File "/home/sasha/nlp_viewer/run.py", line 72, in get
builder_instance = builder_cls(name=conf)
File "/home/sasha/.local/lib/python3.7/site-packages/nlp/builder.py", line 610, in __init__
super(GeneratorBasedBuilder, self).__init__(*args, **kwargs)
File "/home/sasha/.local/lib/python3.7/site-packages/nlp/builder.py", line 152, in __init__
self.info = DatasetInfo.from_directory(self._cache_dir)
File "/home/sasha/.local/lib/python3.7/site-packages/nlp/info.py", line 157, in from_directory
with open(os.path.join(dataset_info_dir, DATASET_INFO_FILENAME), "r") as f:
```
Is it possible to see if the dataset_info.json is correctly placed? | 33 | Not able to access the XNLI dataset
When I try to access the XNLI dataset, I get the following error. The option of plain_text get selected automatically and then I get the following error.
```
FileNotFoundError: [Errno 2] No such file or directory: '/home/sasha/.cache/huggingface/datasets/xnli/plain_text/1.0.0/dataset_info.json'
Traceback:
File "/home/sasha/.local/lib/python3.7/site-packages/streamlit/ScriptRunner.py", line 322, in _run_script
exec(code, module.__dict__)
File "/home/sasha/nlp_viewer/run.py", line 86, in <module>
dts, fail = get(str(option.id), str(conf_option.name) if conf_option else None)
File "/home/sasha/.local/lib/python3.7/site-packages/streamlit/caching.py", line 591, in wrapped_func
return get_or_create_cached_value()
File "/home/sasha/.local/lib/python3.7/site-packages/streamlit/caching.py", line 575, in get_or_create_cached_value
return_value = func(*args, **kwargs)
File "/home/sasha/nlp_viewer/run.py", line 72, in get
builder_instance = builder_cls(name=conf)
File "/home/sasha/.local/lib/python3.7/site-packages/nlp/builder.py", line 610, in __init__
super(GeneratorBasedBuilder, self).__init__(*args, **kwargs)
File "/home/sasha/.local/lib/python3.7/site-packages/nlp/builder.py", line 152, in __init__
self.info = DatasetInfo.from_directory(self._cache_dir)
File "/home/sasha/.local/lib/python3.7/site-packages/nlp/info.py", line 157, in from_directory
with open(os.path.join(dataset_info_dir, DATASET_INFO_FILENAME), "r") as f:
```
Is it possible to see if the dataset_info.json is correctly placed?
Update: The dataset_info.json error is gone, but we have a new one instead:
```
ConnectionError: Couldn't reach https://www.nyu.edu/projects/bowman/xnli/XNLI-1.0.zip
```
I am not able to reproduce on my side unfortunately. Any idea @srush ? | [
-0.14086730778217316,
-0.1892593950033188,
-0.03353660926222801,
0.4693676829338074,
0.40544605255126953,
0.11200098693370819,
0.05603647604584694,
0.35449883341789246,
-0.10948893427848816,
0.29277610778808594,
-0.14041024446487427,
0.16212044656276703,
0.050227634608745575,
-0.028046416118741035,
0.050541575998067856,
-0.03532493859529495,
-0.16912731528282166,
0.15102030336856842,
0.13207347691059113,
0.005323123186826706,
-0.17077098786830902,
0.04558214917778969,
-0.269063800573349,
0.258741557598114,
-0.28670641779899597,
-0.08528313040733337,
0.09144605696201324,
0.38597825169563293,
-0.30816975235939026,
-0.5349295139312744,
0.04508195072412491,
-0.14433525502681732,
0.24077387154102325,
0.19576595723628998,
-0.00011105803423561156,
0.049332939088344574,
0.26291322708129883,
-0.05734888091683388,
-0.5286890268325806,
-0.14541779458522797,
-0.35688552260398865,
-0.1231442391872406,
-0.014699206687510014,
-0.3132307231426239,
-0.12878146767616272,
-0.2209601253271103,
0.4022443890571594,
-0.3689225912094116,
0.27180513739585876,
0.31527572870254517,
0.2039080262184143,
0.20004284381866455,
0.1218271255493164,
-0.0547143891453743,
0.049337755888700485,
0.13519403338432312,
-0.13144788146018982,
-0.01397060789167881,
0.2392851859331131,
0.1932622790336609,
0.1636674851179123,
0.45788300037384033,
-0.1711951047182083,
-0.11164625734090805,
0.2552073299884796,
0.24384237825870514,
-0.03029867634177208,
-0.16049787402153015,
0.3209938704967499,
0.23313458263874054,
0.44375672936439514,
-0.43328917026519775,
-0.433499276638031,
-0.11148592084646225,
-0.0038185573648661375,
-0.2649720311164856,
0.24886402487754822,
0.1001942902803421,
-0.31770753860473633,
0.1554601490497589,
-0.11993837356567383,
-0.3665497303009033,
-0.36813774704933167,
0.14540188014507294,
0.26279720664024353,
0.3802296817302704,
-0.05968890339136124,
0.0670861005783081,
-0.061199408024549484,
-0.1958378702402115,
0.05281243845820427,
-0.08949365466833115,
-0.16413246095180511,
0.3026692867279053,
-0.22698448598384857,
0.12764638662338257,
0.13528870046138763,
0.057152315974235535,
0.11984661221504211,
0.36280354857444763,
0.2032436579465866,
-0.18401408195495605,
-0.37554052472114563,
0.06257743388414383,
-0.2645843029022217,
0.42281022667884827,
0.29570093750953674,
0.14088575541973114,
0.38271573185920715,
-0.008944886736571789,
0.22189567983150482,
-0.36490076780319214,
-0.2945748567581177,
-0.16017690300941467,
-0.11438383162021637,
0.2509688138961792,
0.3615806996822357,
-0.1595381647348404,
-0.24764789640903473,
-0.0595756396651268,
-0.12639573216438293,
0.01934901811182499,
0.20292766392230988,
0.5645591020584106,
0.05364596098661423,
0.18948371708393097,
0.03513291850686073,
0.32177770137786865,
0.053703561425209045,
-0.5332473516464233,
-0.17430844902992249,
0.216541588306427,
-0.30879613757133484,
0.14569483697414398,
0.310526579618454,
-0.3313242197036743,
0.30016303062438965,
-0.11575473099946976,
-0.30328500270843506,
0.0032360709737986326,
0.12947247922420502,
-0.1749178171157837,
0.10203266888856888,
0.07796114683151245,
0.09318613260984421,
0.10305090993642807,
0.19042626023292542,
-0.0799684152007103,
0.06550320982933044,
-0.0332774892449379,
-0.047192495316267014,
-0.48522502183914185,
0.025507068261504173,
0.13068552315235138,
0.07165248692035675,
-0.009505627676844597,
-0.08786679059267044,
-0.05430307611823082,
0.19623017311096191,
-0.22172188758850098,
-0.11173594743013382,
0.11289877444505692,
-0.02556431293487549,
-0.27134573459625244,
0.21264219284057617,
0.5540777444839478,
-0.313611775636673,
0.2092668116092682,
-0.19852620363235474,
-0.1348922848701477,
0.16316285729408264,
0.36284351348876953,
-0.11672932654619217,
0.07758820801973343,
-0.3848819434642792,
0.32663220167160034,
0.6447758674621582,
-0.5202512145042419,
-0.5076890587806702,
0.281650573015213,
-0.22235873341560364,
-0.07156804203987122,
0.5067176222801208,
0.24071164429187775,
-0.06453099101781845,
-0.11318366974592209,
0.04700065031647682,
0.11700887978076935,
0.04672114923596382,
-0.08850125223398209,
-0.11148851364850998,
-0.24508868157863617,
0.3402372896671295,
0.11302019655704498,
-0.030680567026138306,
0.132090762257576,
-0.029109716415405273,
0.16131943464279175,
0.3716827630996704,
-0.2910832464694977,
0.151186004281044,
0.2840609550476074,
0.30056697130203247,
0.03720917925238609,
-0.1425778716802597,
-0.11960358172655106,
-0.2946610152721405,
0.23998598754405975,
-0.09203005582094193,
-0.020116332918405533,
-0.30888083577156067,
0.00025334686506539583,
-0.11308930814266205,
-0.0409194678068161,
-0.38762593269348145,
-0.2783125638961792,
0.19049637019634247,
0.45270541310310364,
0.22734399139881134,
-0.01965280994772911,
-0.28994232416152954,
0.31739184260368347,
-0.4826754033565521,
0.002716717543080449,
-0.6354674696922302,
0.12806348502635956,
-0.09318788349628448,
-0.14903484284877777,
-0.16396395862102509,
0.1639254093170166,
0.023549996316432953,
-0.0028481101617217064,
-0.09274742752313614,
0.2124699354171753,
-0.2380760759115219,
0.08131196349859238,
0.2638709843158722,
0.10236212611198425,
0.03820393979549408,
-0.5709121823310852,
0.337582528591156,
0.471760094165802,
0.22842155396938324,
0.08941147476434708,
-0.2693725526332855,
0.11830697953701019,
-0.0825481116771698,
0.0903005376458168,
0.043728042393922806,
0.01720329001545906,
0.46662530303001404,
0.014810673892498016,
0.06998161971569061,
-0.21279384195804596,
0.3003251254558563,
0.21648988127708435,
0.46217772364616394,
-0.08612532913684845,
-0.5364862680435181,
0.08613129705190659,
0.279600590467453,
0.06051954627037048,
-0.09864404052495956,
-0.01093630027025938,
-0.3510042428970337,
-0.04163467511534691,
0.055063143372535706,
0.22897891700267792,
0.28139010071754456,
0.22780916094779968,
-0.06535445898771286,
0.08311142027378082,
0.09837327152490616,
-0.2621801793575287,
0.1807290017604828,
-0.25792714953422546,
0.10123013705015182,
0.26987096667289734,
0.19980137050151825,
0.03205357864499092,
-0.03564421087503433,
-0.5033636093139648,
0.07216988503932953,
0.44549039006233215,
-0.2703445553779602,
-0.17282365262508392,
-0.1369037926197052,
-0.6854809522628784,
0.060650646686553955,
0.07638580352067947,
-0.11054092645645142,
-0.34322455525398254,
-0.02222832664847374,
0.18775984644889832,
0.21456144750118256,
-0.07199577987194061,
-0.09505292773246765,
0.07554131001234055,
0.06864757835865021,
-0.10940901190042496,
-0.41933175921440125,
-0.3149597942829132,
-0.20777536928653717,
0.04685645550489426,
0.27079495787620544,
-0.02280697040259838,
0.24694304168224335,
-0.2802794277667999,
0.06392866373062134,
-0.4144374430179596,
-0.025489769876003265,
0.023476963862776756,
0.029296601191163063,
-0.0004743135941680521,
-0.03406819328665733,
0.48188820481300354,
0.47751712799072266,
-0.062323737889528275,
0.34758952260017395,
0.04154730215668678,
-0.17423060536384583,
0.2578032612800598,
-0.21523937582969666,
-0.23448677361011505,
-0.04180895909667015,
-0.5249137282371521,
-0.35636940598487854,
-0.3282740116119385,
0.08275364339351654,
-0.13988102972507477,
0.0803988054394722,
0.31809043884277344,
-0.1464771330356598,
0.2062617689371109,
-0.03888341411948204,
0.19586744904518127,
-0.07545904070138931,
-0.2256142646074295,
0.3382493555545807,
-0.16139675676822662,
-0.2159951776266098,
0.23609325289726257,
0.06490588188171387,
0.21008798480033875,
-0.04124198481440544,
-0.23060105741024017,
0.17212596535682678,
-0.22557012736797333,
0.28446343541145325,
-0.1305036097764969,
-0.15192051231861115,
0.34998252987861633,
-0.010504299774765968,
-0.0014597176341339946,
0.004380505066365004,
0.01188093051314354,
0.11780867725610733,
0.010027376934885979,
0.571620762348175,
0.20394249260425568,
0.41344502568244934,
0.14451955258846283,
0.3723565638065338,
0.44866421818733215,
0.026759330183267593,
0.32839006185531616,
-0.26213935017585754,
0.0669078454375267,
-0.06588185578584671,
-0.3156568706035614,
0.11945436894893646,
0.17475633323192596,
-0.17332448065280914,
-0.10797219723463058,
0.138683021068573,
0.38894420862197876,
-0.33151981234550476,
-0.13302171230316162,
-0.2874072194099426,
-0.08548351377248764,
-0.14637787640094757,
0.02025029808282852,
0.011118978261947632,
0.12911097705364227,
0.2093753218650818,
-0.34255450963974,
-0.3424661159515381,
-0.11213251948356628,
0.4633776545524597,
0.0023362934589385986,
0.15231388807296753,
-0.2744362950325012,
-0.28418034315109253,
-0.5618224143981934,
0.48062583804130554,
0.11800606548786163,
0.21206669509410858,
-0.2758864164352417,
0.12500028312206268,
0.2663460671901703,
0.022575542330741882,
0.3283258378505707,
-0.3004832863807678,
0.25636452436447144,
0.08078701049089432,
-0.09893045574426651,
-0.23588041961193085,
0.1696392297744751,
-0.15016189217567444,
0.1985001564025879,
0.33587154746055603,
0.19395440816879272,
-0.160841166973114,
-0.11107291281223297,
-0.016944129019975662,
0.10838181525468826,
-0.1749693900346756,
-0.21759386360645294,
-0.017783721908926964,
-0.0037044950295239687,
-0.16341423988342285,
-0.328482985496521,
-0.1715681403875351,
0.24727433919906616,
0.13296154141426086,
0.33589187264442444,
0.04687206819653511,
-0.07427357882261276,
0.17847338318824768,
0.22041575610637665,
0.33928728103637695,
-0.09613542258739471,
-0.15330880880355835,
0.1652642786502838,
0.2498362809419632,
0.07175866514444351,
0.49867498874664307,
0.28984472155570984,
-0.3622654974460602,
-0.014100667089223862,
-0.22840864956378937,
0.12723597884178162,
0.2903362810611725,
-0.25874918699264526,
0.10405367612838745,
0.034366361796855927,
-0.00782689731568098,
0.0616951584815979,
-0.09590546786785126,
0.25131773948669434,
0.03154374659061432,
-0.1259423941373825,
-0.3986915946006775,
0.32729730010032654,
0.10116904973983765,
0.003972935024648905,
0.4540020525455475,
-0.14631907641887665,
-0.22761699557304382,
0.023734675720334053,
0.05723154917359352,
0.9369785785675049,
0.12992772459983826,
0.22923718392848969,
0.3930838406085968,
0.16831186413764954,
0.5260001420974731,
-0.30351364612579346,
0.36880162358283997,
-0.38715463876724243,
-0.08039484173059464,
-0.0029480515513569117,
-0.11370399594306946,
-0.011664546094834805,
-0.1774902492761612,
-0.08031443506479263,
0.23407699167728424,
-0.15633440017700195,
0.00611140625551343,
-0.09859159588813782,
0.2628976106643677,
-0.3349466025829315,
-0.09046969562768936,
-0.46061474084854126,
0.0847524031996727,
-0.20800389349460602,
0.3349795937538147,
-0.10503844916820526,
-0.1498464047908783,
-0.38530439138412476,
0.1126159206032753,
-0.42020905017852783,
0.37589675188064575,
-0.0859742984175682,
0.12252394109964371,
-0.07361681759357452,
-0.3276995122432709,
-0.05533306673169136,
0.6137094497680664,
0.5807364583015442,
0.0501268096268177,
-0.33917272090911865,
0.007756409700959921,
-0.21130119264125824,
-0.023090843111276627,
-0.09389214962720871,
0.15532875061035156,
0.33820468187332153,
-0.04085510969161987,
-0.30917733907699585,
0.5142865777015686,
-0.11258584260940552,
0.016242269426584244,
-0.2366236448287964,
-0.25668174028396606,
-0.24029716849327087,
-0.043224040418863297,
-0.1230141818523407,
0.01992630772292614,
-0.12974593043327332,
0.025179490447044373,
0.09974995255470276,
0.012665953487157822,
-0.23290403187274933,
-0.2464853972196579,
-0.1339302361011505,
-0.1444869339466095,
0.18300442397594452,
0.325381875038147,
0.047445446252822876,
0.1761949509382248,
0.6140017509460449,
0.22167590260505676,
-0.0501692108809948,
-0.24814759194850922,
0.06540445238351822,
0.15567706525325775,
-0.2556737959384918,
-0.21238085627555847,
0.10414279252290726,
0.17469249665737152,
0.096544049680233,
0.2774945795536041,
0.18646995723247528,
-0.006257296539843082,
-0.14283394813537598,
-0.448702335357666,
-0.5422465205192566,
0.1517493724822998,
-0.19254674017429352,
0.13901548087596893,
-0.1516946256160736,
0.2596282958984375,
0.11874712258577347,
-0.2652503252029419,
-0.3370278477668762,
-0.09570170193910599,
-0.32341060042381287,
-0.005745049100369215,
0.3934481143951416,
0.05905287712812424,
0.19687820971012115,
0.04367268458008766,
0.13710691034793854,
-0.036700136959552765,
-0.2849011719226837,
-0.15982723236083984,
0.048877786844968796,
0.10002417862415314,
0.1371709108352661,
-0.4027869701385498,
-0.11658159643411636,
-0.28826212882995605,
-0.08812721073627472,
-0.1604430079460144,
0.05028767138719559,
0.29853424429893494,
0.03162437304854393,
0.2532196044921875,
-0.31334546208381653,
0.058008331805467606,
-0.2136867344379425,
0.1573789119720459,
-0.15283744037151337,
0.18410615622997284,
0.05986139923334122,
0.12613047659397125,
0.01767575554549694,
0.009883997030556202,
-0.550724446773529,
-0.06257440149784088,
-0.0907987728714943,
0.1829756200313568,
0.11525699496269226,
-0.4182232618331909,
0.22805631160736084,
-0.14199501276016235,
0.1714201122522354,
0.19626367092132568,
-0.03331765905022621,
0.2832377552986145,
0.18114230036735535,
0.18628519773483276,
-0.23866654932498932,
0.20860911905765533,
0.215780109167099,
0.09463916718959808,
-0.09388977289199829,
0.04307954013347626,
-0.049454621970653534,
-0.02566336840391159,
0.2692066729068756,
-0.1024499237537384,
0.3867937922477722,
-0.4072207510471344,
-0.052489642053842545,
0.11946655809879303,
0.07139203697443008,
-0.05252387002110481,
0.11530407518148422,
0.3662637770175934,
0.16459278762340546,
0.7827573418617249,
-0.24703241884708405,
0.14657171070575714,
-0.18498532474040985,
0.3281104862689972,
-0.24878236651420593,
-0.3345986008644104,
-0.33597898483276367,
0.11348120868206024,
-0.294269859790802,
-0.12617403268814087,
-0.18528421223163605,
0.2995415925979614,
-0.10181374847888947,
0.14273475110530853,
-0.23577985167503357,
0.39215415716171265,
-0.14883604645729065,
-0.04539475217461586,
-0.5625836849212646,
-0.22663353383541107,
0.10585590451955795,
-0.1797053962945938,
0.025090746581554413,
0.01599329523742199,
-0.009149348363280296,
0.1309439241886139,
-0.2652382552623749,
-0.40185388922691345,
0.3093724250793457,
0.40477555990219116,
-0.016356229782104492,
-0.2793296277523041,
0.41067326068878174,
0.29058921337127686,
0.06595078855752945,
0.20533108711242676,
0.3192925453186035,
0.42760297656059265,
0.4022080600261688,
0.06650746613740921,
0.20000669360160828,
-0.10694017261266708,
-0.25286200642585754,
-0.013881637714803219,
0.05252344533801079,
0.30146437883377075,
0.05845767632126808,
0.31253117322921753,
0.14970730245113373,
-0.0062344688922166824,
0.14302103221416473,
0.04569145664572716,
0.3462026119232178,
0.09222348034381866,
-0.015020581893622875,
-0.14654797315597534,
-0.24552859365940094,
-0.1894637942314148,
-0.1285674124956131,
-0.5581473708152771,
0.1378030627965927,
0.21281974017620087,
0.2150430977344513,
0.25495705008506775,
-0.004208188503980637,
0.04900941625237465,
-0.06657014787197113,
0.13284258544445038,
0.5250786542892456,
-0.03401148319244385,
-0.27033546566963196,
-0.32096952199935913,
-0.5026273727416992,
0.16537779569625854,
-0.02528504841029644,
-0.4208659529685974,
-0.24853651225566864,
0.12115411460399628,
-0.17552419006824493,
-0.2355567365884781,
0.24101929366588593,
0.1014041155576706,
0.06959380954504013,
0.33923885226249695,
-0.22689945995807648,
-0.33274635672569275,
0.2696407437324524,
0.0531267449259758,
-0.17090114951133728,
-0.17286787927150726,
-0.0946459174156189,
-0.14867638051509857,
0.049000054597854614,
-0.04603859409689903,
0.3904182016849518,
0.007113414816558361,
0.20573078095912933,
0.19779559969902039,
0.19981218874454498,
0.48119643330574036,
0.06806674599647522,
-0.0404394194483757,
-0.3731052577495575,
-0.11173686385154724,
-0.20125903189182281,
-0.041570909321308136,
0.3111204504966736,
0.5081033706665039,
-0.358381986618042,
-0.00834614597260952,
-0.38156816363334656,
0.1278298944234848,
-0.16659346222877502,
-0.01748354732990265,
-0.2955944538116455,
0.3703540861606598,
-0.2835775315761566,
0.23727823793888092,
0.16417279839515686,
-0.04555123671889305,
-0.029033057391643524,
0.10304306447505951,
-0.33316659927368164,
0.0036254317965358496,
0.5232228636741638,
-0.2101983278989792,
-0.23654088377952576,
0.09007932245731354,
0.19331854581832886,
0.11350388824939728,
0.01034716609865427,
-0.33786872029304504,
0.17566758394241333,
0.18242225050926208,
-0.0053519015200436115,
-0.24062062799930573,
-0.08169142156839371,
0.0652153491973877,
0.11355213075876236,
-0.06532713025808334,
-0.1427069753408432,
0.15939858555793762,
-0.07285217195749283,
-0.013610105030238628,
-0.08653882890939713
] |
https://github.com/huggingface/datasets/issues/225 | [ROUGE] Different scores with `files2rouge` | @Colanim unfortunately there are different implementations of the ROUGE metric floating around online which yield different results, and we had to chose one for the package :) We ended up including the one from the google-research repository, which does minimal post-processing before computing the P/R/F scores. If I recall correctly, files2rouge relies on the Perl, script, which among other things normalizes all numbers to a special token: in the case you presented, this should account for a good chunk of the difference.
We may end up adding in more versions of the metric, but probably not for a while (@lhoestq correct me if I'm wrong). However, feel free to take a stab at adding it in yourself and submitting a PR if you're interested! | It seems that the ROUGE score of `nlp` is lower than the one of `files2rouge`.
Here is a self-contained notebook to reproduce both scores : https://colab.research.google.com/drive/14EyAXValB6UzKY9x4rs_T3pyL7alpw_F?usp=sharing
---
`nlp` : (Only mid F-scores)
>rouge1 0.33508031962733364
rouge2 0.14574333776191592
rougeL 0.2321187823256159
`files2rouge` :
>Running ROUGE...
===========================
1 ROUGE-1 Average_R: 0.48873 (95%-conf.int. 0.41192 - 0.56339)
1 ROUGE-1 Average_P: 0.29010 (95%-conf.int. 0.23605 - 0.34445)
1 ROUGE-1 Average_F: 0.34761 (95%-conf.int. 0.29479 - 0.39871)
===========================
1 ROUGE-2 Average_R: 0.20280 (95%-conf.int. 0.14969 - 0.26244)
1 ROUGE-2 Average_P: 0.12772 (95%-conf.int. 0.08603 - 0.17752)
1 ROUGE-2 Average_F: 0.14798 (95%-conf.int. 0.10517 - 0.19240)
===========================
1 ROUGE-L Average_R: 0.32960 (95%-conf.int. 0.26501 - 0.39676)
1 ROUGE-L Average_P: 0.19880 (95%-conf.int. 0.15257 - 0.25136)
1 ROUGE-L Average_F: 0.23619 (95%-conf.int. 0.19073 - 0.28663)
---
When using longer predictions/gold, the difference is bigger.
**How can I reproduce same score as `files2rouge` ?**
@lhoestq
| 124 | [ROUGE] Different scores with `files2rouge`
It seems that the ROUGE score of `nlp` is lower than the one of `files2rouge`.
Here is a self-contained notebook to reproduce both scores : https://colab.research.google.com/drive/14EyAXValB6UzKY9x4rs_T3pyL7alpw_F?usp=sharing
---
`nlp` : (Only mid F-scores)
>rouge1 0.33508031962733364
rouge2 0.14574333776191592
rougeL 0.2321187823256159
`files2rouge` :
>Running ROUGE...
===========================
1 ROUGE-1 Average_R: 0.48873 (95%-conf.int. 0.41192 - 0.56339)
1 ROUGE-1 Average_P: 0.29010 (95%-conf.int. 0.23605 - 0.34445)
1 ROUGE-1 Average_F: 0.34761 (95%-conf.int. 0.29479 - 0.39871)
===========================
1 ROUGE-2 Average_R: 0.20280 (95%-conf.int. 0.14969 - 0.26244)
1 ROUGE-2 Average_P: 0.12772 (95%-conf.int. 0.08603 - 0.17752)
1 ROUGE-2 Average_F: 0.14798 (95%-conf.int. 0.10517 - 0.19240)
===========================
1 ROUGE-L Average_R: 0.32960 (95%-conf.int. 0.26501 - 0.39676)
1 ROUGE-L Average_P: 0.19880 (95%-conf.int. 0.15257 - 0.25136)
1 ROUGE-L Average_F: 0.23619 (95%-conf.int. 0.19073 - 0.28663)
---
When using longer predictions/gold, the difference is bigger.
**How can I reproduce same score as `files2rouge` ?**
@lhoestq
@Colanim unfortunately there are different implementations of the ROUGE metric floating around online which yield different results, and we had to chose one for the package :) We ended up including the one from the google-research repository, which does minimal post-processing before computing the P/R/F scores. If I recall correctly, files2rouge relies on the Perl, script, which among other things normalizes all numbers to a special token: in the case you presented, this should account for a good chunk of the difference.
We may end up adding in more versions of the metric, but probably not for a while (@lhoestq correct me if I'm wrong). However, feel free to take a stab at adding it in yourself and submitting a PR if you're interested! | [
-0.14572615921497345,
-0.16974303126335144,
-0.1972297579050064,
0.3397459387779236,
-0.11949753761291504,
-0.4242601990699768,
-0.4203995168209076,
0.1476738452911377,
-0.2700440585613251,
0.17250607907772064,
-0.08286702632904053,
0.1803876757621765,
0.12033016234636307,
0.008093580603599548,
-0.1003899946808815,
-0.09797486662864685,
0.165655255317688,
0.03882870450615883,
0.09248090535402298,
-0.3720676898956299,
0.06655961275100708,
0.5696011781692505,
-0.03133227676153183,
0.2104341685771942,
0.05402207747101784,
0.2702381908893585,
0.28511351346969604,
0.3035299479961395,
-0.14858005940914154,
0.028436783701181412,
0.12800203263759613,
0.03064163215458393,
-0.02369801700115204,
0.22214896976947784,
-0.00010886792006203905,
-0.2347191721200943,
0.10260970890522003,
-0.0031664110720157623,
-0.27572351694107056,
-0.30260902643203735,
-0.034557461738586426,
0.06436412036418915,
-0.1229282021522522,
-0.07039352506399155,
0.08584654331207275,
-0.04489225521683693,
0.04877280816435814,
0.20954246819019318,
0.4293985068798065,
0.1475730836391449,
0.22625432908535004,
-0.30243781208992004,
-0.18534952402114868,
0.024081915616989136,
0.5763341188430786,
0.16267599165439606,
-0.11448317766189575,
0.44726425409317017,
0.005699495319277048,
-0.3526380658149719,
-0.24019040167331696,
-0.008563567884266376,
0.34304094314575195,
-0.17255988717079163,
0.13255919516086578,
0.19315466284751892,
0.14858555793762207,
-0.04594054073095322,
-0.07953529059886932,
0.24472841620445251,
-0.2702822983264923,
0.03221165016293526,
-0.22717157006263733,
-0.2778386175632477,
-0.07631559669971466,
-0.1997607946395874,
0.11689180135726929,
-0.08144606649875641,
0.1642860472202301,
0.012247875332832336,
0.04413227364420891,
0.29542678594589233,
0.04963891953229904,
0.007164150010794401,
-0.05405605211853981,
-0.10784615576267242,
0.05084570124745369,
0.09846562147140503,
0.29527974128723145,
-0.050543639808893204,
-0.5163149237632751,
0.01077284850180149,
-0.2593677043914795,
0.0749606341123581,
-0.30228114128112793,
-0.03785572201013565,
0.3144964575767517,
0.4659734070301056,
-0.20087116956710815,
0.4996274709701538,
0.26919713616371155,
-0.0934174507856369,
-0.13220743834972382,
-0.03944722190499306,
-0.13782373070716858,
0.10813210904598236,
-0.028945928439497948,
0.020693473517894745,
0.08811821043491364,
0.2246810793876648,
-0.13358263671398163,
-0.012008018791675568,
0.39822256565093994,
-0.5637689232826233,
-0.4777999222278595,
0.10259132832288742,
-0.26103466749191284,
-0.4323975145816803,
-0.6891934871673584,
-0.0673605352640152,
-0.255431205034256,
-0.11924232542514801,
0.09890846163034439,
0.22720065712928772,
-0.17488402128219604,
0.29229849576950073,
0.046788230538368225,
0.18339158594608307,
-0.28950363397598267,
0.01966216042637825,
-0.18399901688098907,
0.06357946246862411,
-0.31439271569252014,
0.13452430069446564,
0.17056682705879211,
0.11274684220552444,
0.31805747747421265,
0.25605344772338867,
0.27351316809654236,
0.03864440321922302,
0.3298662304878235,
-0.2839505672454834,
-0.022634783759713173,
-0.21111683547496796,
-0.2113915979862213,
0.1974538117647171,
0.027129076421260834,
0.09184830635786057,
-0.00870169885456562,
-0.07489427924156189,
-0.18084076046943665,
0.1442372053861618,
0.46661806106567383,
0.20657984912395477,
0.14965085685253143,
-0.11055408418178558,
0.04069235175848007,
0.11693812906742096,
-0.24016346037387848,
-0.5936912298202515,
0.20406076312065125,
-0.1365523636341095,
-0.1270110011100769,
-0.05817752704024315,
0.10981972515583038,
-0.03458227589726448,
0.09312087297439575,
-0.11743129789829254,
0.3731990456581116,
0.06358262896537781,
0.26031258702278137,
0.45348334312438965,
-0.0408313013613224,
0.011863946914672852,
-0.1628563404083252,
-0.07088572531938553,
0.4665316641330719,
-0.43853142857551575,
-0.22229626774787903,
0.3355002701282501,
-0.16507026553153992,
-0.06518586724996567,
0.23904691636562347,
0.03927561268210411,
-0.3886531591415405,
-0.16600807011127472,
0.17745089530944824,
0.19752459228038788,
0.07779872417449951,
-0.048396892845630646,
-0.2970068156719208,
0.13495878875255585,
0.316625714302063,
0.06547749787569046,
-0.23182860016822815,
-0.29935044050216675,
-0.11140508949756622,
-0.06439077854156494,
0.5141965746879578,
0.13280688226222992,
-0.27513760328292847,
0.10499175637960434,
-0.2721599340438843,
0.29369354248046875,
-0.05169543996453285,
0.11857372522354126,
0.4230367839336395,
-0.023375488817691803,
-0.7951249480247498,
-0.16027650237083435,
0.4370328485965729,
-0.05248735845088959,
-0.21229121088981628,
-0.4714091122150421,
0.24053311347961426,
-0.23946474492549896,
0.22328263521194458,
0.05504881590604782,
0.1873215287923813,
0.030354246497154236,
0.02407083846628666,
0.09660714119672775,
-0.23642665147781372,
-0.15861894190311432,
-0.17153561115264893,
0.20367735624313354,
-0.22109828889369965,
-0.007432829588651657,
-0.01054032240062952,
0.35960862040519714,
0.31164121627807617,
0.0875801146030426,
0.03730439767241478,
0.2634182274341583,
0.05015571042895317,
0.09804999828338623,
0.3672510087490082,
0.14480578899383545,
-0.0007639330578967929,
0.18896162509918213,
-0.1226600706577301,
0.6879815459251404,
0.01646246388554573,
0.03225119411945343,
-0.3400397300720215,
0.42591556906700134,
-0.21703946590423584,
0.20069162547588348,
0.4093106985092163,
-0.07173748314380646,
-0.05009761080145836,
0.057780198752880096,
-0.006800386123359203,
-0.01715300790965557,
0.7467252016067505,
0.1952691376209259,
0.2502553164958954,
0.0029566255398094654,
-0.32202571630477905,
0.25961771607398987,
0.39914047718048096,
-0.015342896804213524,
-0.02085353247821331,
-0.11995424330234528,
0.19371458888053894,
-0.09338841587305069,
-0.036720160394907,
0.2507389783859253,
0.3810695707798004,
0.19513395428657532,
0.1557074785232544,
-0.13119934499263763,
-0.3382363021373749,
-0.34380224347114563,
0.03513277322053909,
-0.18210364878177643,
0.08744674175977707,
0.49638640880584717,
0.10160709917545319,
0.21628661453723907,
-0.3020774722099304,
-0.5422855019569397,
-0.25364869832992554,
-0.22231446206569672,
0.06132601946592331,
0.16164496541023254,
-0.14391355216503143,
-0.3678353428840637,
-0.15366077423095703,
-0.091903455555439,
-0.2918891906738281,
-0.27327603101730347,
0.23009741306304932,
0.020875325426459312,
-0.07249978184700012,
-0.21893787384033203,
0.023232346400618553,
0.14874784648418427,
-0.3703943192958832,
0.1783805787563324,
-0.017374185845255852,
-0.0280428696423769,
-0.27953794598579407,
0.2228175401687622,
-0.05679844319820404,
-0.019304806366562843,
-0.03147659823298454,
-0.27918699383735657,
-0.450835645198822,
0.16968795657157898,
-0.37626758217811584,
-0.010960331186652184,
0.06464394927024841,
-0.0032369038090109825,
0.05967245250940323,
-0.25061726570129395,
-0.07057500630617142,
0.14640170335769653,
0.09220732748508453,
-0.17413024604320526,
-0.3507431149482727,
-0.08965101093053818,
0.0367850661277771,
0.014213897287845612,
-0.19140632450580597,
-0.2775213420391083,
0.07937490195035934,
-0.1433197259902954,
0.6197946667671204,
0.3270145356655121,
0.005700475536286831,
0.38587889075279236,
-0.2369561791419983,
0.00001117925057769753,
0.1717422902584076,
0.5837682485580444,
-0.260583758354187,
-0.04442865401506424,
0.1986089050769806,
-0.29971224069595337,
-0.4421885013580322,
-0.27306097745895386,
0.18830086290836334,
0.03232232853770256,
-0.008429203182458878,
-0.1786167025566101,
0.031004473567008972,
-0.13094371557235718,
-0.04899758845567703,
-0.21304526925086975,
-0.05581812188029289,
0.3378271460533142,
-0.18365980684757233,
-0.2421921342611313,
-0.0644744485616684,
0.21673358976840973,
0.02994077280163765,
0.286546915769577,
0.4599354863166809,
-0.4840276837348938,
0.16461147367954254,
-0.14009366929531097,
0.12755979597568512,
0.0440831296145916,
0.5117963552474976,
0.15338170528411865,
0.13323144614696503,
0.0008751187124289572,
-0.14067673683166504,
0.09818065166473389,
0.4896935820579529,
0.05618814751505852,
-0.14490316808223724,
0.3308490514755249,
0.20873454213142395,
0.24980413913726807,
-0.11164992302656174,
-0.04191485047340393,
-0.07632182538509369,
-0.007912087254226208,
0.10350774228572845,
0.07728636264801025,
-0.0560007318854332,
0.017136143520474434,
0.07414616644382477,
-0.0036134684924036264,
-0.15379202365875244,
0.21246269345283508,
0.07286833226680756,
0.3913024961948395,
-0.11124511808156967,
-0.2594476044178009,
-0.005773492157459259,
-0.4689764380455017,
-0.005583834368735552,
0.03185344487428665,
-0.021543025970458984,
-0.15841111540794373,
-0.17287009954452515,
0.05907157063484192,
-0.3485897481441498,
0.26234281063079834,
0.16069422662258148,
0.23712962865829468,
0.16907602548599243,
-0.13415367901325226,
-0.5272517800331116,
-0.2941480278968811,
-0.3322207033634186,
0.18113477528095245,
0.5960766077041626,
0.1151440367102623,
-0.13822154700756073,
-0.1728234589099884,
0.10999204963445663,
-0.05185002088546753,
-0.148247629404068,
0.10066864639520645,
-0.33127129077911377,
0.20241938531398773,
0.15132899582386017,
-0.2806151509284973,
0.04583752155303955,
0.3753645420074463,
-0.2438097596168518,
0.12480254471302032,
0.06615769863128662,
-0.14999350905418396,
0.21233011782169342,
0.13495221734046936,
0.33930888772010803,
-0.10402209311723709,
-0.2439710795879364,
-0.29319724440574646,
0.30135512351989746,
-0.351443886756897,
0.3701418936252594,
0.12124495208263397,
0.00033597677247598767,
0.30029138922691345,
-0.09358716756105423,
0.10684158653020859,
0.31012898683547974,
-0.1816413700580597,
0.1664065271615982,
-0.6221524477005005,
0.11270283907651901,
-0.4461793601512909,
-0.21020959317684174,
0.3684735894203186,
-0.07535848766565323,
0.28507164120674133,
-0.1410282403230667,
0.20845304429531097,
0.23064105212688446,
-0.4770975112915039,
-0.07949839532375336,
-0.16209371387958527,
-0.19412653148174286,
0.2774370312690735,
-0.020417680963873863,
0.7596281170845032,
0.43547335267066956,
0.5633998513221741,
0.2302163988351822,
-0.14735105633735657,
0.38939759135246277,
-0.5955860018730164,
0.19127987325191498,
-0.3415153920650482,
-0.37023451924324036,
0.09574269503355026,
0.10443361103534698,
-0.06511300802230835,
0.2145492285490036,
0.2076512575149536,
0.29537633061408997,
0.3931225538253784,
-0.0991114005446434,
-0.10828062146902084,
0.17655280232429504,
0.12343021482229233,
0.18754109740257263,
-0.2870902717113495,
0.19913658499717712,
0.34644386172294617,
0.004576204810291529,
-0.05969381704926491,
0.09596779942512512,
-0.7420679330825806,
0.0225160401314497,
0.04249162599444389,
0.10044686496257782,
-0.09559981524944305,
0.35474157333374023,
0.11958033591508865,
-0.22432821989059448,
-0.048718634992837906,
0.3672381341457367,
0.15987472236156464,
-0.01591307297348976,
0.007195963989943266,
0.21002458035945892,
-0.3194086253643036,
0.3263314664363861,
0.24231000244617462,
-0.038803331553936005,
0.031407807022333145,
-0.22021394968032837,
-0.07871294766664505,
-0.07076095044612885,
0.15572413802146912,
-0.16848191618919373,
-0.548475444316864,
0.18215550482273102,
-0.33470356464385986,
0.0072069619782269,
-0.02991681545972824,
0.10068981349468231,
-0.09960504621267319,
-0.05343042314052582,
0.16725927591323853,
-0.05686292424798012,
-0.06265318393707275,
-0.03488534316420555,
0.09307224303483963,
-0.3328576385974884,
-0.05046382173895836,
0.4744253158569336,
-0.1367390751838684,
-0.046009812504053116,
0.06487401574850082,
-0.330565869808197,
0.03526663780212402,
-0.2431761920452118,
0.03892473876476288,
-0.08075796067714691,
-0.19715382158756256,
-0.10430055856704712,
-0.007580338045954704,
-0.2291494905948639,
0.25272709131240845,
0.25843632221221924,
0.2495664805173874,
0.21303711831569672,
0.032852903008461,
-0.3630848824977875,
-0.09832476824522018,
0.08107944577932358,
0.1679994910955429,
-0.034733790904283524,
-0.01961880549788475,
-0.15958917140960693,
0.25884079933166504,
0.2306310385465622,
-0.35463520884513855,
-0.15017235279083252,
-0.08997538685798645,
0.12681719660758972,
-0.2210235744714737,
-0.31873929500579834,
0.02248654142022133,
0.1468537151813507,
0.1430858075618744,
-0.008150210604071617,
-0.05782909318804741,
-0.2477169781923294,
-0.20516584813594818,
0.08322594314813614,
-0.04834677651524544,
-0.09744031727313995,
-0.13200196623802185,
0.21839942038059235,
0.10436245799064636,
-0.14063531160354614,
-0.2313222587108612,
-0.13392621278762817,
0.35739850997924805,
0.12174567580223083,
-0.08553913235664368,
0.1825161725282669,
-0.14262963831424713,
0.10866586863994598,
0.018823904916644096,
-0.025384819135069847,
0.07357653230428696,
-0.026512816548347473,
0.109457828104496,
-0.2018422782421112,
-0.25641098618507385,
-0.07424065470695496,
-0.2803899943828583,
0.14717309176921844,
0.10414627939462662,
-0.0529727004468441,
0.008782899007201195,
-0.18328943848609924,
0.2844220995903015,
0.36497530341148376,
0.11780496686697006,
-0.09963652491569519,
-0.013917454518377781,
0.22528259456157684,
-0.22220176458358765,
0.09425390511751175,
0.44961801171302795,
0.043986886739730835,
0.06563520431518555,
-0.02828390896320343,
0.15857845544815063,
-0.20769856870174408,
-0.018284499645233154,
-0.05924854055047035,
-0.27442365884780884,
-0.018169712275266647,
0.17280763387680054,
-0.19119587540626526,
0.25152382254600525,
0.0736309215426445,
0.1553812474012375,
-0.37914833426475525,
0.18718206882476807,
0.3507705330848694,
-0.0025792052038013935,
0.19415226578712463,
-0.2856432795524597,
0.14951284229755402,
-0.02367577515542507,
0.09032062441110611,
-0.27035999298095703,
0.3451123535633087,
0.0853993147611618,
-0.02180611714720726,
0.08363576978445053,
0.16912171244621277,
-0.10833396762609482,
-0.33761361241340637,
-0.0048829554580152035,
-0.0880928635597229,
-0.07047468423843384,
-0.5443993806838989,
-0.46642449498176575,
-0.22646990418434143,
-0.3945833742618561,
0.07105030119419098,
-0.16874152421951294,
0.38178619742393494,
0.02951897494494915,
0.2477216273546219,
-0.09672477096319199,
-0.1826779842376709,
-0.46176472306251526,
0.010245916433632374,
0.42088058590888977,
-0.046756893396377563,
0.17743198573589325,
0.21671564877033234,
0.41431307792663574,
0.3571798503398895,
0.16161072254180908,
0.23874562978744507,
0.18882715702056885,
-0.2336151897907257,
-0.2279312014579773,
0.03246549516916275,
0.08932047337293625,
-0.19615767896175385,
0.17421679198741913,
0.2599768042564392,
0.04339063540101051,
0.3002179265022278,
0.132206529378891,
-0.2410813421010971,
0.07742050290107727,
0.2649875283241272,
-0.0035750248935073614,
-0.21412977576255798,
0.29473695158958435,
-0.03916145861148834,
0.018682796508073807,
-0.33147430419921875,
0.3797481954097748,
-0.5077443718910217,
-0.08658923208713531,
-0.5439392328262329,
0.15140385925769806,
0.17864570021629333,
-0.12435408681631088,
0.10393213480710983,
0.26889467239379883,
0.41731399297714233,
-0.127236008644104,
0.3387746214866638,
-0.28413739800453186,
-0.46132057905197144,
-0.26536378264427185,
-0.04585053399205208,
0.039508700370788574,
0.27052944898605347,
-0.43093833327293396,
0.28873541951179504,
-0.29741501808166504,
0.051450327038764954,
0.2745601534843445,
0.42833009362220764,
0.24691952764987946,
0.06649734079837799,
-0.33822908997535706,
0.1559215635061264,
0.19840335845947266,
-0.08824482560157776,
-0.11956939101219177,
0.13063283264636993,
-0.17390663921833038,
0.019816448912024498,
0.1097150519490242,
0.08555615693330765,
-0.3465365171432495,
-0.2886541783809662,
0.4207555949687958,
0.33852237462997437,
0.27506640553474426,
0.26808562874794006,
-0.37258148193359375,
-0.38539496064186096,
0.03100375458598137,
-0.12375269085168839,
-0.0627094954252243,
0.062282588332891464,
-0.06584226340055466,
0.3876439929008484,
0.025063853710889816,
0.07477404177188873,
0.07386086881160736,
0.5041282176971436,
0.05595526471734047,
0.0017199635040014982,
-0.22703063488006592,
-0.026206299662590027,
0.09364594519138336,
0.06342308223247528,
-0.6129956841468811,
0.40744340419769287,
0.0005166334449313581,
0.18714416027069092,
-0.2337079793214798,
-0.2538995146751404,
0.37504610419273376,
-0.3584226965904236,
0.27204254269599915,
-0.09970097243785858,
0.34275397658348083,
0.2217620611190796,
0.29680484533309937,
0.04679165408015251,
-0.10589522123336792,
0.0717540830373764,
0.29574862122535706,
0.162244513630867,
0.23034587502479553,
-0.2334207147359848,
-0.08380375802516937,
-0.0016766850603744388,
0.29279467463493347,
0.0649266391992569,
-0.29197120666503906,
0.4134342670440674,
-0.184107705950737
] |
https://github.com/huggingface/datasets/issues/225 | [ROUGE] Different scores with `files2rouge` | Thank you for your kind answer.
As a side question : Isn't it better to have a package that normalize more ?
I understand to idea of having a package that does minimal post-processing for transparency.
But it means that people using different architecture (with different tokenizers for example) will have difference in ROUGE scores even if their predictions are actually similar.
The goal of `nlp` is to have _one package to rule them all_, right ?
I will look into it but I'm not sure I have the required skill for this ^^ | It seems that the ROUGE score of `nlp` is lower than the one of `files2rouge`.
Here is a self-contained notebook to reproduce both scores : https://colab.research.google.com/drive/14EyAXValB6UzKY9x4rs_T3pyL7alpw_F?usp=sharing
---
`nlp` : (Only mid F-scores)
>rouge1 0.33508031962733364
rouge2 0.14574333776191592
rougeL 0.2321187823256159
`files2rouge` :
>Running ROUGE...
===========================
1 ROUGE-1 Average_R: 0.48873 (95%-conf.int. 0.41192 - 0.56339)
1 ROUGE-1 Average_P: 0.29010 (95%-conf.int. 0.23605 - 0.34445)
1 ROUGE-1 Average_F: 0.34761 (95%-conf.int. 0.29479 - 0.39871)
===========================
1 ROUGE-2 Average_R: 0.20280 (95%-conf.int. 0.14969 - 0.26244)
1 ROUGE-2 Average_P: 0.12772 (95%-conf.int. 0.08603 - 0.17752)
1 ROUGE-2 Average_F: 0.14798 (95%-conf.int. 0.10517 - 0.19240)
===========================
1 ROUGE-L Average_R: 0.32960 (95%-conf.int. 0.26501 - 0.39676)
1 ROUGE-L Average_P: 0.19880 (95%-conf.int. 0.15257 - 0.25136)
1 ROUGE-L Average_F: 0.23619 (95%-conf.int. 0.19073 - 0.28663)
---
When using longer predictions/gold, the difference is bigger.
**How can I reproduce same score as `files2rouge` ?**
@lhoestq
| 94 | [ROUGE] Different scores with `files2rouge`
It seems that the ROUGE score of `nlp` is lower than the one of `files2rouge`.
Here is a self-contained notebook to reproduce both scores : https://colab.research.google.com/drive/14EyAXValB6UzKY9x4rs_T3pyL7alpw_F?usp=sharing
---
`nlp` : (Only mid F-scores)
>rouge1 0.33508031962733364
rouge2 0.14574333776191592
rougeL 0.2321187823256159
`files2rouge` :
>Running ROUGE...
===========================
1 ROUGE-1 Average_R: 0.48873 (95%-conf.int. 0.41192 - 0.56339)
1 ROUGE-1 Average_P: 0.29010 (95%-conf.int. 0.23605 - 0.34445)
1 ROUGE-1 Average_F: 0.34761 (95%-conf.int. 0.29479 - 0.39871)
===========================
1 ROUGE-2 Average_R: 0.20280 (95%-conf.int. 0.14969 - 0.26244)
1 ROUGE-2 Average_P: 0.12772 (95%-conf.int. 0.08603 - 0.17752)
1 ROUGE-2 Average_F: 0.14798 (95%-conf.int. 0.10517 - 0.19240)
===========================
1 ROUGE-L Average_R: 0.32960 (95%-conf.int. 0.26501 - 0.39676)
1 ROUGE-L Average_P: 0.19880 (95%-conf.int. 0.15257 - 0.25136)
1 ROUGE-L Average_F: 0.23619 (95%-conf.int. 0.19073 - 0.28663)
---
When using longer predictions/gold, the difference is bigger.
**How can I reproduce same score as `files2rouge` ?**
@lhoestq
Thank you for your kind answer.
As a side question : Isn't it better to have a package that normalize more ?
I understand to idea of having a package that does minimal post-processing for transparency.
But it means that people using different architecture (with different tokenizers for example) will have difference in ROUGE scores even if their predictions are actually similar.
The goal of `nlp` is to have _one package to rule them all_, right ?
I will look into it but I'm not sure I have the required skill for this ^^ | [
-0.14572615921497345,
-0.16974303126335144,
-0.1972297579050064,
0.3397459387779236,
-0.11949753761291504,
-0.4242601990699768,
-0.4203995168209076,
0.1476738452911377,
-0.2700440585613251,
0.17250607907772064,
-0.08286702632904053,
0.1803876757621765,
0.12033016234636307,
0.008093580603599548,
-0.1003899946808815,
-0.09797486662864685,
0.165655255317688,
0.03882870450615883,
0.09248090535402298,
-0.3720676898956299,
0.06655961275100708,
0.5696011781692505,
-0.03133227676153183,
0.2104341685771942,
0.05402207747101784,
0.2702381908893585,
0.28511351346969604,
0.3035299479961395,
-0.14858005940914154,
0.028436783701181412,
0.12800203263759613,
0.03064163215458393,
-0.02369801700115204,
0.22214896976947784,
-0.00010886792006203905,
-0.2347191721200943,
0.10260970890522003,
-0.0031664110720157623,
-0.27572351694107056,
-0.30260902643203735,
-0.034557461738586426,
0.06436412036418915,
-0.1229282021522522,
-0.07039352506399155,
0.08584654331207275,
-0.04489225521683693,
0.04877280816435814,
0.20954246819019318,
0.4293985068798065,
0.1475730836391449,
0.22625432908535004,
-0.30243781208992004,
-0.18534952402114868,
0.024081915616989136,
0.5763341188430786,
0.16267599165439606,
-0.11448317766189575,
0.44726425409317017,
0.005699495319277048,
-0.3526380658149719,
-0.24019040167331696,
-0.008563567884266376,
0.34304094314575195,
-0.17255988717079163,
0.13255919516086578,
0.19315466284751892,
0.14858555793762207,
-0.04594054073095322,
-0.07953529059886932,
0.24472841620445251,
-0.2702822983264923,
0.03221165016293526,
-0.22717157006263733,
-0.2778386175632477,
-0.07631559669971466,
-0.1997607946395874,
0.11689180135726929,
-0.08144606649875641,
0.1642860472202301,
0.012247875332832336,
0.04413227364420891,
0.29542678594589233,
0.04963891953229904,
0.007164150010794401,
-0.05405605211853981,
-0.10784615576267242,
0.05084570124745369,
0.09846562147140503,
0.29527974128723145,
-0.050543639808893204,
-0.5163149237632751,
0.01077284850180149,
-0.2593677043914795,
0.0749606341123581,
-0.30228114128112793,
-0.03785572201013565,
0.3144964575767517,
0.4659734070301056,
-0.20087116956710815,
0.4996274709701538,
0.26919713616371155,
-0.0934174507856369,
-0.13220743834972382,
-0.03944722190499306,
-0.13782373070716858,
0.10813210904598236,
-0.028945928439497948,
0.020693473517894745,
0.08811821043491364,
0.2246810793876648,
-0.13358263671398163,
-0.012008018791675568,
0.39822256565093994,
-0.5637689232826233,
-0.4777999222278595,
0.10259132832288742,
-0.26103466749191284,
-0.4323975145816803,
-0.6891934871673584,
-0.0673605352640152,
-0.255431205034256,
-0.11924232542514801,
0.09890846163034439,
0.22720065712928772,
-0.17488402128219604,
0.29229849576950073,
0.046788230538368225,
0.18339158594608307,
-0.28950363397598267,
0.01966216042637825,
-0.18399901688098907,
0.06357946246862411,
-0.31439271569252014,
0.13452430069446564,
0.17056682705879211,
0.11274684220552444,
0.31805747747421265,
0.25605344772338867,
0.27351316809654236,
0.03864440321922302,
0.3298662304878235,
-0.2839505672454834,
-0.022634783759713173,
-0.21111683547496796,
-0.2113915979862213,
0.1974538117647171,
0.027129076421260834,
0.09184830635786057,
-0.00870169885456562,
-0.07489427924156189,
-0.18084076046943665,
0.1442372053861618,
0.46661806106567383,
0.20657984912395477,
0.14965085685253143,
-0.11055408418178558,
0.04069235175848007,
0.11693812906742096,
-0.24016346037387848,
-0.5936912298202515,
0.20406076312065125,
-0.1365523636341095,
-0.1270110011100769,
-0.05817752704024315,
0.10981972515583038,
-0.03458227589726448,
0.09312087297439575,
-0.11743129789829254,
0.3731990456581116,
0.06358262896537781,
0.26031258702278137,
0.45348334312438965,
-0.0408313013613224,
0.011863946914672852,
-0.1628563404083252,
-0.07088572531938553,
0.4665316641330719,
-0.43853142857551575,
-0.22229626774787903,
0.3355002701282501,
-0.16507026553153992,
-0.06518586724996567,
0.23904691636562347,
0.03927561268210411,
-0.3886531591415405,
-0.16600807011127472,
0.17745089530944824,
0.19752459228038788,
0.07779872417449951,
-0.048396892845630646,
-0.2970068156719208,
0.13495878875255585,
0.316625714302063,
0.06547749787569046,
-0.23182860016822815,
-0.29935044050216675,
-0.11140508949756622,
-0.06439077854156494,
0.5141965746879578,
0.13280688226222992,
-0.27513760328292847,
0.10499175637960434,
-0.2721599340438843,
0.29369354248046875,
-0.05169543996453285,
0.11857372522354126,
0.4230367839336395,
-0.023375488817691803,
-0.7951249480247498,
-0.16027650237083435,
0.4370328485965729,
-0.05248735845088959,
-0.21229121088981628,
-0.4714091122150421,
0.24053311347961426,
-0.23946474492549896,
0.22328263521194458,
0.05504881590604782,
0.1873215287923813,
0.030354246497154236,
0.02407083846628666,
0.09660714119672775,
-0.23642665147781372,
-0.15861894190311432,
-0.17153561115264893,
0.20367735624313354,
-0.22109828889369965,
-0.007432829588651657,
-0.01054032240062952,
0.35960862040519714,
0.31164121627807617,
0.0875801146030426,
0.03730439767241478,
0.2634182274341583,
0.05015571042895317,
0.09804999828338623,
0.3672510087490082,
0.14480578899383545,
-0.0007639330578967929,
0.18896162509918213,
-0.1226600706577301,
0.6879815459251404,
0.01646246388554573,
0.03225119411945343,
-0.3400397300720215,
0.42591556906700134,
-0.21703946590423584,
0.20069162547588348,
0.4093106985092163,
-0.07173748314380646,
-0.05009761080145836,
0.057780198752880096,
-0.006800386123359203,
-0.01715300790965557,
0.7467252016067505,
0.1952691376209259,
0.2502553164958954,
0.0029566255398094654,
-0.32202571630477905,
0.25961771607398987,
0.39914047718048096,
-0.015342896804213524,
-0.02085353247821331,
-0.11995424330234528,
0.19371458888053894,
-0.09338841587305069,
-0.036720160394907,
0.2507389783859253,
0.3810695707798004,
0.19513395428657532,
0.1557074785232544,
-0.13119934499263763,
-0.3382363021373749,
-0.34380224347114563,
0.03513277322053909,
-0.18210364878177643,
0.08744674175977707,
0.49638640880584717,
0.10160709917545319,
0.21628661453723907,
-0.3020774722099304,
-0.5422855019569397,
-0.25364869832992554,
-0.22231446206569672,
0.06132601946592331,
0.16164496541023254,
-0.14391355216503143,
-0.3678353428840637,
-0.15366077423095703,
-0.091903455555439,
-0.2918891906738281,
-0.27327603101730347,
0.23009741306304932,
0.020875325426459312,
-0.07249978184700012,
-0.21893787384033203,
0.023232346400618553,
0.14874784648418427,
-0.3703943192958832,
0.1783805787563324,
-0.017374185845255852,
-0.0280428696423769,
-0.27953794598579407,
0.2228175401687622,
-0.05679844319820404,
-0.019304806366562843,
-0.03147659823298454,
-0.27918699383735657,
-0.450835645198822,
0.16968795657157898,
-0.37626758217811584,
-0.010960331186652184,
0.06464394927024841,
-0.0032369038090109825,
0.05967245250940323,
-0.25061726570129395,
-0.07057500630617142,
0.14640170335769653,
0.09220732748508453,
-0.17413024604320526,
-0.3507431149482727,
-0.08965101093053818,
0.0367850661277771,
0.014213897287845612,
-0.19140632450580597,
-0.2775213420391083,
0.07937490195035934,
-0.1433197259902954,
0.6197946667671204,
0.3270145356655121,
0.005700475536286831,
0.38587889075279236,
-0.2369561791419983,
0.00001117925057769753,
0.1717422902584076,
0.5837682485580444,
-0.260583758354187,
-0.04442865401506424,
0.1986089050769806,
-0.29971224069595337,
-0.4421885013580322,
-0.27306097745895386,
0.18830086290836334,
0.03232232853770256,
-0.008429203182458878,
-0.1786167025566101,
0.031004473567008972,
-0.13094371557235718,
-0.04899758845567703,
-0.21304526925086975,
-0.05581812188029289,
0.3378271460533142,
-0.18365980684757233,
-0.2421921342611313,
-0.0644744485616684,
0.21673358976840973,
0.02994077280163765,
0.286546915769577,
0.4599354863166809,
-0.4840276837348938,
0.16461147367954254,
-0.14009366929531097,
0.12755979597568512,
0.0440831296145916,
0.5117963552474976,
0.15338170528411865,
0.13323144614696503,
0.0008751187124289572,
-0.14067673683166504,
0.09818065166473389,
0.4896935820579529,
0.05618814751505852,
-0.14490316808223724,
0.3308490514755249,
0.20873454213142395,
0.24980413913726807,
-0.11164992302656174,
-0.04191485047340393,
-0.07632182538509369,
-0.007912087254226208,
0.10350774228572845,
0.07728636264801025,
-0.0560007318854332,
0.017136143520474434,
0.07414616644382477,
-0.0036134684924036264,
-0.15379202365875244,
0.21246269345283508,
0.07286833226680756,
0.3913024961948395,
-0.11124511808156967,
-0.2594476044178009,
-0.005773492157459259,
-0.4689764380455017,
-0.005583834368735552,
0.03185344487428665,
-0.021543025970458984,
-0.15841111540794373,
-0.17287009954452515,
0.05907157063484192,
-0.3485897481441498,
0.26234281063079834,
0.16069422662258148,
0.23712962865829468,
0.16907602548599243,
-0.13415367901325226,
-0.5272517800331116,
-0.2941480278968811,
-0.3322207033634186,
0.18113477528095245,
0.5960766077041626,
0.1151440367102623,
-0.13822154700756073,
-0.1728234589099884,
0.10999204963445663,
-0.05185002088546753,
-0.148247629404068,
0.10066864639520645,
-0.33127129077911377,
0.20241938531398773,
0.15132899582386017,
-0.2806151509284973,
0.04583752155303955,
0.3753645420074463,
-0.2438097596168518,
0.12480254471302032,
0.06615769863128662,
-0.14999350905418396,
0.21233011782169342,
0.13495221734046936,
0.33930888772010803,
-0.10402209311723709,
-0.2439710795879364,
-0.29319724440574646,
0.30135512351989746,
-0.351443886756897,
0.3701418936252594,
0.12124495208263397,
0.00033597677247598767,
0.30029138922691345,
-0.09358716756105423,
0.10684158653020859,
0.31012898683547974,
-0.1816413700580597,
0.1664065271615982,
-0.6221524477005005,
0.11270283907651901,
-0.4461793601512909,
-0.21020959317684174,
0.3684735894203186,
-0.07535848766565323,
0.28507164120674133,
-0.1410282403230667,
0.20845304429531097,
0.23064105212688446,
-0.4770975112915039,
-0.07949839532375336,
-0.16209371387958527,
-0.19412653148174286,
0.2774370312690735,
-0.020417680963873863,
0.7596281170845032,
0.43547335267066956,
0.5633998513221741,
0.2302163988351822,
-0.14735105633735657,
0.38939759135246277,
-0.5955860018730164,
0.19127987325191498,
-0.3415153920650482,
-0.37023451924324036,
0.09574269503355026,
0.10443361103534698,
-0.06511300802230835,
0.2145492285490036,
0.2076512575149536,
0.29537633061408997,
0.3931225538253784,
-0.0991114005446434,
-0.10828062146902084,
0.17655280232429504,
0.12343021482229233,
0.18754109740257263,
-0.2870902717113495,
0.19913658499717712,
0.34644386172294617,
0.004576204810291529,
-0.05969381704926491,
0.09596779942512512,
-0.7420679330825806,
0.0225160401314497,
0.04249162599444389,
0.10044686496257782,
-0.09559981524944305,
0.35474157333374023,
0.11958033591508865,
-0.22432821989059448,
-0.048718634992837906,
0.3672381341457367,
0.15987472236156464,
-0.01591307297348976,
0.007195963989943266,
0.21002458035945892,
-0.3194086253643036,
0.3263314664363861,
0.24231000244617462,
-0.038803331553936005,
0.031407807022333145,
-0.22021394968032837,
-0.07871294766664505,
-0.07076095044612885,
0.15572413802146912,
-0.16848191618919373,
-0.548475444316864,
0.18215550482273102,
-0.33470356464385986,
0.0072069619782269,
-0.02991681545972824,
0.10068981349468231,
-0.09960504621267319,
-0.05343042314052582,
0.16725927591323853,
-0.05686292424798012,
-0.06265318393707275,
-0.03488534316420555,
0.09307224303483963,
-0.3328576385974884,
-0.05046382173895836,
0.4744253158569336,
-0.1367390751838684,
-0.046009812504053116,
0.06487401574850082,
-0.330565869808197,
0.03526663780212402,
-0.2431761920452118,
0.03892473876476288,
-0.08075796067714691,
-0.19715382158756256,
-0.10430055856704712,
-0.007580338045954704,
-0.2291494905948639,
0.25272709131240845,
0.25843632221221924,
0.2495664805173874,
0.21303711831569672,
0.032852903008461,
-0.3630848824977875,
-0.09832476824522018,
0.08107944577932358,
0.1679994910955429,
-0.034733790904283524,
-0.01961880549788475,
-0.15958917140960693,
0.25884079933166504,
0.2306310385465622,
-0.35463520884513855,
-0.15017235279083252,
-0.08997538685798645,
0.12681719660758972,
-0.2210235744714737,
-0.31873929500579834,
0.02248654142022133,
0.1468537151813507,
0.1430858075618744,
-0.008150210604071617,
-0.05782909318804741,
-0.2477169781923294,
-0.20516584813594818,
0.08322594314813614,
-0.04834677651524544,
-0.09744031727313995,
-0.13200196623802185,
0.21839942038059235,
0.10436245799064636,
-0.14063531160354614,
-0.2313222587108612,
-0.13392621278762817,
0.35739850997924805,
0.12174567580223083,
-0.08553913235664368,
0.1825161725282669,
-0.14262963831424713,
0.10866586863994598,
0.018823904916644096,
-0.025384819135069847,
0.07357653230428696,
-0.026512816548347473,
0.109457828104496,
-0.2018422782421112,
-0.25641098618507385,
-0.07424065470695496,
-0.2803899943828583,
0.14717309176921844,
0.10414627939462662,
-0.0529727004468441,
0.008782899007201195,
-0.18328943848609924,
0.2844220995903015,
0.36497530341148376,
0.11780496686697006,
-0.09963652491569519,
-0.013917454518377781,
0.22528259456157684,
-0.22220176458358765,
0.09425390511751175,
0.44961801171302795,
0.043986886739730835,
0.06563520431518555,
-0.02828390896320343,
0.15857845544815063,
-0.20769856870174408,
-0.018284499645233154,
-0.05924854055047035,
-0.27442365884780884,
-0.018169712275266647,
0.17280763387680054,
-0.19119587540626526,
0.25152382254600525,
0.0736309215426445,
0.1553812474012375,
-0.37914833426475525,
0.18718206882476807,
0.3507705330848694,
-0.0025792052038013935,
0.19415226578712463,
-0.2856432795524597,
0.14951284229755402,
-0.02367577515542507,
0.09032062441110611,
-0.27035999298095703,
0.3451123535633087,
0.0853993147611618,
-0.02180611714720726,
0.08363576978445053,
0.16912171244621277,
-0.10833396762609482,
-0.33761361241340637,
-0.0048829554580152035,
-0.0880928635597229,
-0.07047468423843384,
-0.5443993806838989,
-0.46642449498176575,
-0.22646990418434143,
-0.3945833742618561,
0.07105030119419098,
-0.16874152421951294,
0.38178619742393494,
0.02951897494494915,
0.2477216273546219,
-0.09672477096319199,
-0.1826779842376709,
-0.46176472306251526,
0.010245916433632374,
0.42088058590888977,
-0.046756893396377563,
0.17743198573589325,
0.21671564877033234,
0.41431307792663574,
0.3571798503398895,
0.16161072254180908,
0.23874562978744507,
0.18882715702056885,
-0.2336151897907257,
-0.2279312014579773,
0.03246549516916275,
0.08932047337293625,
-0.19615767896175385,
0.17421679198741913,
0.2599768042564392,
0.04339063540101051,
0.3002179265022278,
0.132206529378891,
-0.2410813421010971,
0.07742050290107727,
0.2649875283241272,
-0.0035750248935073614,
-0.21412977576255798,
0.29473695158958435,
-0.03916145861148834,
0.018682796508073807,
-0.33147430419921875,
0.3797481954097748,
-0.5077443718910217,
-0.08658923208713531,
-0.5439392328262329,
0.15140385925769806,
0.17864570021629333,
-0.12435408681631088,
0.10393213480710983,
0.26889467239379883,
0.41731399297714233,
-0.127236008644104,
0.3387746214866638,
-0.28413739800453186,
-0.46132057905197144,
-0.26536378264427185,
-0.04585053399205208,
0.039508700370788574,
0.27052944898605347,
-0.43093833327293396,
0.28873541951179504,
-0.29741501808166504,
0.051450327038764954,
0.2745601534843445,
0.42833009362220764,
0.24691952764987946,
0.06649734079837799,
-0.33822908997535706,
0.1559215635061264,
0.19840335845947266,
-0.08824482560157776,
-0.11956939101219177,
0.13063283264636993,
-0.17390663921833038,
0.019816448912024498,
0.1097150519490242,
0.08555615693330765,
-0.3465365171432495,
-0.2886541783809662,
0.4207555949687958,
0.33852237462997437,
0.27506640553474426,
0.26808562874794006,
-0.37258148193359375,
-0.38539496064186096,
0.03100375458598137,
-0.12375269085168839,
-0.0627094954252243,
0.062282588332891464,
-0.06584226340055466,
0.3876439929008484,
0.025063853710889816,
0.07477404177188873,
0.07386086881160736,
0.5041282176971436,
0.05595526471734047,
0.0017199635040014982,
-0.22703063488006592,
-0.026206299662590027,
0.09364594519138336,
0.06342308223247528,
-0.6129956841468811,
0.40744340419769287,
0.0005166334449313581,
0.18714416027069092,
-0.2337079793214798,
-0.2538995146751404,
0.37504610419273376,
-0.3584226965904236,
0.27204254269599915,
-0.09970097243785858,
0.34275397658348083,
0.2217620611190796,
0.29680484533309937,
0.04679165408015251,
-0.10589522123336792,
0.0717540830373764,
0.29574862122535706,
0.162244513630867,
0.23034587502479553,
-0.2334207147359848,
-0.08380375802516937,
-0.0016766850603744388,
0.29279467463493347,
0.0649266391992569,
-0.29197120666503906,
0.4134342670440674,
-0.184107705950737
] |
https://github.com/huggingface/datasets/issues/225 | [ROUGE] Different scores with `files2rouge` | You're right, there's a pretty interesting trade-off here between robustness and sensitivity :) The flip side of your argument is that we also still want the metric to be sensitive to model mistakes. How we think about number normalization for example has evolved a fair bit since the Perl script was written: at the time, ROUGE was used mostly to evaluate short-medium text summarization systems, where there were only a few numbers in the input and it was assumed that the most popular methods in use at the time would get those right. However, as your example showcases, that assumption does not hold any more, and we do want to be able to penalize a model that generates a wrong numerical value.
Also, we think that abstracting away tokenization differences is the role of the model/tokenizer: if you use the 🤗Tokenizers library for example, it will handle that for you ;)
Finally, there is a lot of active research on developing model-powered metrics that are both more sensitive and more robust than ROUGE. Check out for example BERTscore, which is implemented in this library! | It seems that the ROUGE score of `nlp` is lower than the one of `files2rouge`.
Here is a self-contained notebook to reproduce both scores : https://colab.research.google.com/drive/14EyAXValB6UzKY9x4rs_T3pyL7alpw_F?usp=sharing
---
`nlp` : (Only mid F-scores)
>rouge1 0.33508031962733364
rouge2 0.14574333776191592
rougeL 0.2321187823256159
`files2rouge` :
>Running ROUGE...
===========================
1 ROUGE-1 Average_R: 0.48873 (95%-conf.int. 0.41192 - 0.56339)
1 ROUGE-1 Average_P: 0.29010 (95%-conf.int. 0.23605 - 0.34445)
1 ROUGE-1 Average_F: 0.34761 (95%-conf.int. 0.29479 - 0.39871)
===========================
1 ROUGE-2 Average_R: 0.20280 (95%-conf.int. 0.14969 - 0.26244)
1 ROUGE-2 Average_P: 0.12772 (95%-conf.int. 0.08603 - 0.17752)
1 ROUGE-2 Average_F: 0.14798 (95%-conf.int. 0.10517 - 0.19240)
===========================
1 ROUGE-L Average_R: 0.32960 (95%-conf.int. 0.26501 - 0.39676)
1 ROUGE-L Average_P: 0.19880 (95%-conf.int. 0.15257 - 0.25136)
1 ROUGE-L Average_F: 0.23619 (95%-conf.int. 0.19073 - 0.28663)
---
When using longer predictions/gold, the difference is bigger.
**How can I reproduce same score as `files2rouge` ?**
@lhoestq
| 184 | [ROUGE] Different scores with `files2rouge`
It seems that the ROUGE score of `nlp` is lower than the one of `files2rouge`.
Here is a self-contained notebook to reproduce both scores : https://colab.research.google.com/drive/14EyAXValB6UzKY9x4rs_T3pyL7alpw_F?usp=sharing
---
`nlp` : (Only mid F-scores)
>rouge1 0.33508031962733364
rouge2 0.14574333776191592
rougeL 0.2321187823256159
`files2rouge` :
>Running ROUGE...
===========================
1 ROUGE-1 Average_R: 0.48873 (95%-conf.int. 0.41192 - 0.56339)
1 ROUGE-1 Average_P: 0.29010 (95%-conf.int. 0.23605 - 0.34445)
1 ROUGE-1 Average_F: 0.34761 (95%-conf.int. 0.29479 - 0.39871)
===========================
1 ROUGE-2 Average_R: 0.20280 (95%-conf.int. 0.14969 - 0.26244)
1 ROUGE-2 Average_P: 0.12772 (95%-conf.int. 0.08603 - 0.17752)
1 ROUGE-2 Average_F: 0.14798 (95%-conf.int. 0.10517 - 0.19240)
===========================
1 ROUGE-L Average_R: 0.32960 (95%-conf.int. 0.26501 - 0.39676)
1 ROUGE-L Average_P: 0.19880 (95%-conf.int. 0.15257 - 0.25136)
1 ROUGE-L Average_F: 0.23619 (95%-conf.int. 0.19073 - 0.28663)
---
When using longer predictions/gold, the difference is bigger.
**How can I reproduce same score as `files2rouge` ?**
@lhoestq
You're right, there's a pretty interesting trade-off here between robustness and sensitivity :) The flip side of your argument is that we also still want the metric to be sensitive to model mistakes. How we think about number normalization for example has evolved a fair bit since the Perl script was written: at the time, ROUGE was used mostly to evaluate short-medium text summarization systems, where there were only a few numbers in the input and it was assumed that the most popular methods in use at the time would get those right. However, as your example showcases, that assumption does not hold any more, and we do want to be able to penalize a model that generates a wrong numerical value.
Also, we think that abstracting away tokenization differences is the role of the model/tokenizer: if you use the 🤗Tokenizers library for example, it will handle that for you ;)
Finally, there is a lot of active research on developing model-powered metrics that are both more sensitive and more robust than ROUGE. Check out for example BERTscore, which is implemented in this library! | [
-0.14572615921497345,
-0.16974303126335144,
-0.1972297579050064,
0.3397459387779236,
-0.11949753761291504,
-0.4242601990699768,
-0.4203995168209076,
0.1476738452911377,
-0.2700440585613251,
0.17250607907772064,
-0.08286702632904053,
0.1803876757621765,
0.12033016234636307,
0.008093580603599548,
-0.1003899946808815,
-0.09797486662864685,
0.165655255317688,
0.03882870450615883,
0.09248090535402298,
-0.3720676898956299,
0.06655961275100708,
0.5696011781692505,
-0.03133227676153183,
0.2104341685771942,
0.05402207747101784,
0.2702381908893585,
0.28511351346969604,
0.3035299479961395,
-0.14858005940914154,
0.028436783701181412,
0.12800203263759613,
0.03064163215458393,
-0.02369801700115204,
0.22214896976947784,
-0.00010886792006203905,
-0.2347191721200943,
0.10260970890522003,
-0.0031664110720157623,
-0.27572351694107056,
-0.30260902643203735,
-0.034557461738586426,
0.06436412036418915,
-0.1229282021522522,
-0.07039352506399155,
0.08584654331207275,
-0.04489225521683693,
0.04877280816435814,
0.20954246819019318,
0.4293985068798065,
0.1475730836391449,
0.22625432908535004,
-0.30243781208992004,
-0.18534952402114868,
0.024081915616989136,
0.5763341188430786,
0.16267599165439606,
-0.11448317766189575,
0.44726425409317017,
0.005699495319277048,
-0.3526380658149719,
-0.24019040167331696,
-0.008563567884266376,
0.34304094314575195,
-0.17255988717079163,
0.13255919516086578,
0.19315466284751892,
0.14858555793762207,
-0.04594054073095322,
-0.07953529059886932,
0.24472841620445251,
-0.2702822983264923,
0.03221165016293526,
-0.22717157006263733,
-0.2778386175632477,
-0.07631559669971466,
-0.1997607946395874,
0.11689180135726929,
-0.08144606649875641,
0.1642860472202301,
0.012247875332832336,
0.04413227364420891,
0.29542678594589233,
0.04963891953229904,
0.007164150010794401,
-0.05405605211853981,
-0.10784615576267242,
0.05084570124745369,
0.09846562147140503,
0.29527974128723145,
-0.050543639808893204,
-0.5163149237632751,
0.01077284850180149,
-0.2593677043914795,
0.0749606341123581,
-0.30228114128112793,
-0.03785572201013565,
0.3144964575767517,
0.4659734070301056,
-0.20087116956710815,
0.4996274709701538,
0.26919713616371155,
-0.0934174507856369,
-0.13220743834972382,
-0.03944722190499306,
-0.13782373070716858,
0.10813210904598236,
-0.028945928439497948,
0.020693473517894745,
0.08811821043491364,
0.2246810793876648,
-0.13358263671398163,
-0.012008018791675568,
0.39822256565093994,
-0.5637689232826233,
-0.4777999222278595,
0.10259132832288742,
-0.26103466749191284,
-0.4323975145816803,
-0.6891934871673584,
-0.0673605352640152,
-0.255431205034256,
-0.11924232542514801,
0.09890846163034439,
0.22720065712928772,
-0.17488402128219604,
0.29229849576950073,
0.046788230538368225,
0.18339158594608307,
-0.28950363397598267,
0.01966216042637825,
-0.18399901688098907,
0.06357946246862411,
-0.31439271569252014,
0.13452430069446564,
0.17056682705879211,
0.11274684220552444,
0.31805747747421265,
0.25605344772338867,
0.27351316809654236,
0.03864440321922302,
0.3298662304878235,
-0.2839505672454834,
-0.022634783759713173,
-0.21111683547496796,
-0.2113915979862213,
0.1974538117647171,
0.027129076421260834,
0.09184830635786057,
-0.00870169885456562,
-0.07489427924156189,
-0.18084076046943665,
0.1442372053861618,
0.46661806106567383,
0.20657984912395477,
0.14965085685253143,
-0.11055408418178558,
0.04069235175848007,
0.11693812906742096,
-0.24016346037387848,
-0.5936912298202515,
0.20406076312065125,
-0.1365523636341095,
-0.1270110011100769,
-0.05817752704024315,
0.10981972515583038,
-0.03458227589726448,
0.09312087297439575,
-0.11743129789829254,
0.3731990456581116,
0.06358262896537781,
0.26031258702278137,
0.45348334312438965,
-0.0408313013613224,
0.011863946914672852,
-0.1628563404083252,
-0.07088572531938553,
0.4665316641330719,
-0.43853142857551575,
-0.22229626774787903,
0.3355002701282501,
-0.16507026553153992,
-0.06518586724996567,
0.23904691636562347,
0.03927561268210411,
-0.3886531591415405,
-0.16600807011127472,
0.17745089530944824,
0.19752459228038788,
0.07779872417449951,
-0.048396892845630646,
-0.2970068156719208,
0.13495878875255585,
0.316625714302063,
0.06547749787569046,
-0.23182860016822815,
-0.29935044050216675,
-0.11140508949756622,
-0.06439077854156494,
0.5141965746879578,
0.13280688226222992,
-0.27513760328292847,
0.10499175637960434,
-0.2721599340438843,
0.29369354248046875,
-0.05169543996453285,
0.11857372522354126,
0.4230367839336395,
-0.023375488817691803,
-0.7951249480247498,
-0.16027650237083435,
0.4370328485965729,
-0.05248735845088959,
-0.21229121088981628,
-0.4714091122150421,
0.24053311347961426,
-0.23946474492549896,
0.22328263521194458,
0.05504881590604782,
0.1873215287923813,
0.030354246497154236,
0.02407083846628666,
0.09660714119672775,
-0.23642665147781372,
-0.15861894190311432,
-0.17153561115264893,
0.20367735624313354,
-0.22109828889369965,
-0.007432829588651657,
-0.01054032240062952,
0.35960862040519714,
0.31164121627807617,
0.0875801146030426,
0.03730439767241478,
0.2634182274341583,
0.05015571042895317,
0.09804999828338623,
0.3672510087490082,
0.14480578899383545,
-0.0007639330578967929,
0.18896162509918213,
-0.1226600706577301,
0.6879815459251404,
0.01646246388554573,
0.03225119411945343,
-0.3400397300720215,
0.42591556906700134,
-0.21703946590423584,
0.20069162547588348,
0.4093106985092163,
-0.07173748314380646,
-0.05009761080145836,
0.057780198752880096,
-0.006800386123359203,
-0.01715300790965557,
0.7467252016067505,
0.1952691376209259,
0.2502553164958954,
0.0029566255398094654,
-0.32202571630477905,
0.25961771607398987,
0.39914047718048096,
-0.015342896804213524,
-0.02085353247821331,
-0.11995424330234528,
0.19371458888053894,
-0.09338841587305069,
-0.036720160394907,
0.2507389783859253,
0.3810695707798004,
0.19513395428657532,
0.1557074785232544,
-0.13119934499263763,
-0.3382363021373749,
-0.34380224347114563,
0.03513277322053909,
-0.18210364878177643,
0.08744674175977707,
0.49638640880584717,
0.10160709917545319,
0.21628661453723907,
-0.3020774722099304,
-0.5422855019569397,
-0.25364869832992554,
-0.22231446206569672,
0.06132601946592331,
0.16164496541023254,
-0.14391355216503143,
-0.3678353428840637,
-0.15366077423095703,
-0.091903455555439,
-0.2918891906738281,
-0.27327603101730347,
0.23009741306304932,
0.020875325426459312,
-0.07249978184700012,
-0.21893787384033203,
0.023232346400618553,
0.14874784648418427,
-0.3703943192958832,
0.1783805787563324,
-0.017374185845255852,
-0.0280428696423769,
-0.27953794598579407,
0.2228175401687622,
-0.05679844319820404,
-0.019304806366562843,
-0.03147659823298454,
-0.27918699383735657,
-0.450835645198822,
0.16968795657157898,
-0.37626758217811584,
-0.010960331186652184,
0.06464394927024841,
-0.0032369038090109825,
0.05967245250940323,
-0.25061726570129395,
-0.07057500630617142,
0.14640170335769653,
0.09220732748508453,
-0.17413024604320526,
-0.3507431149482727,
-0.08965101093053818,
0.0367850661277771,
0.014213897287845612,
-0.19140632450580597,
-0.2775213420391083,
0.07937490195035934,
-0.1433197259902954,
0.6197946667671204,
0.3270145356655121,
0.005700475536286831,
0.38587889075279236,
-0.2369561791419983,
0.00001117925057769753,
0.1717422902584076,
0.5837682485580444,
-0.260583758354187,
-0.04442865401506424,
0.1986089050769806,
-0.29971224069595337,
-0.4421885013580322,
-0.27306097745895386,
0.18830086290836334,
0.03232232853770256,
-0.008429203182458878,
-0.1786167025566101,
0.031004473567008972,
-0.13094371557235718,
-0.04899758845567703,
-0.21304526925086975,
-0.05581812188029289,
0.3378271460533142,
-0.18365980684757233,
-0.2421921342611313,
-0.0644744485616684,
0.21673358976840973,
0.02994077280163765,
0.286546915769577,
0.4599354863166809,
-0.4840276837348938,
0.16461147367954254,
-0.14009366929531097,
0.12755979597568512,
0.0440831296145916,
0.5117963552474976,
0.15338170528411865,
0.13323144614696503,
0.0008751187124289572,
-0.14067673683166504,
0.09818065166473389,
0.4896935820579529,
0.05618814751505852,
-0.14490316808223724,
0.3308490514755249,
0.20873454213142395,
0.24980413913726807,
-0.11164992302656174,
-0.04191485047340393,
-0.07632182538509369,
-0.007912087254226208,
0.10350774228572845,
0.07728636264801025,
-0.0560007318854332,
0.017136143520474434,
0.07414616644382477,
-0.0036134684924036264,
-0.15379202365875244,
0.21246269345283508,
0.07286833226680756,
0.3913024961948395,
-0.11124511808156967,
-0.2594476044178009,
-0.005773492157459259,
-0.4689764380455017,
-0.005583834368735552,
0.03185344487428665,
-0.021543025970458984,
-0.15841111540794373,
-0.17287009954452515,
0.05907157063484192,
-0.3485897481441498,
0.26234281063079834,
0.16069422662258148,
0.23712962865829468,
0.16907602548599243,
-0.13415367901325226,
-0.5272517800331116,
-0.2941480278968811,
-0.3322207033634186,
0.18113477528095245,
0.5960766077041626,
0.1151440367102623,
-0.13822154700756073,
-0.1728234589099884,
0.10999204963445663,
-0.05185002088546753,
-0.148247629404068,
0.10066864639520645,
-0.33127129077911377,
0.20241938531398773,
0.15132899582386017,
-0.2806151509284973,
0.04583752155303955,
0.3753645420074463,
-0.2438097596168518,
0.12480254471302032,
0.06615769863128662,
-0.14999350905418396,
0.21233011782169342,
0.13495221734046936,
0.33930888772010803,
-0.10402209311723709,
-0.2439710795879364,
-0.29319724440574646,
0.30135512351989746,
-0.351443886756897,
0.3701418936252594,
0.12124495208263397,
0.00033597677247598767,
0.30029138922691345,
-0.09358716756105423,
0.10684158653020859,
0.31012898683547974,
-0.1816413700580597,
0.1664065271615982,
-0.6221524477005005,
0.11270283907651901,
-0.4461793601512909,
-0.21020959317684174,
0.3684735894203186,
-0.07535848766565323,
0.28507164120674133,
-0.1410282403230667,
0.20845304429531097,
0.23064105212688446,
-0.4770975112915039,
-0.07949839532375336,
-0.16209371387958527,
-0.19412653148174286,
0.2774370312690735,
-0.020417680963873863,
0.7596281170845032,
0.43547335267066956,
0.5633998513221741,
0.2302163988351822,
-0.14735105633735657,
0.38939759135246277,
-0.5955860018730164,
0.19127987325191498,
-0.3415153920650482,
-0.37023451924324036,
0.09574269503355026,
0.10443361103534698,
-0.06511300802230835,
0.2145492285490036,
0.2076512575149536,
0.29537633061408997,
0.3931225538253784,
-0.0991114005446434,
-0.10828062146902084,
0.17655280232429504,
0.12343021482229233,
0.18754109740257263,
-0.2870902717113495,
0.19913658499717712,
0.34644386172294617,
0.004576204810291529,
-0.05969381704926491,
0.09596779942512512,
-0.7420679330825806,
0.0225160401314497,
0.04249162599444389,
0.10044686496257782,
-0.09559981524944305,
0.35474157333374023,
0.11958033591508865,
-0.22432821989059448,
-0.048718634992837906,
0.3672381341457367,
0.15987472236156464,
-0.01591307297348976,
0.007195963989943266,
0.21002458035945892,
-0.3194086253643036,
0.3263314664363861,
0.24231000244617462,
-0.038803331553936005,
0.031407807022333145,
-0.22021394968032837,
-0.07871294766664505,
-0.07076095044612885,
0.15572413802146912,
-0.16848191618919373,
-0.548475444316864,
0.18215550482273102,
-0.33470356464385986,
0.0072069619782269,
-0.02991681545972824,
0.10068981349468231,
-0.09960504621267319,
-0.05343042314052582,
0.16725927591323853,
-0.05686292424798012,
-0.06265318393707275,
-0.03488534316420555,
0.09307224303483963,
-0.3328576385974884,
-0.05046382173895836,
0.4744253158569336,
-0.1367390751838684,
-0.046009812504053116,
0.06487401574850082,
-0.330565869808197,
0.03526663780212402,
-0.2431761920452118,
0.03892473876476288,
-0.08075796067714691,
-0.19715382158756256,
-0.10430055856704712,
-0.007580338045954704,
-0.2291494905948639,
0.25272709131240845,
0.25843632221221924,
0.2495664805173874,
0.21303711831569672,
0.032852903008461,
-0.3630848824977875,
-0.09832476824522018,
0.08107944577932358,
0.1679994910955429,
-0.034733790904283524,
-0.01961880549788475,
-0.15958917140960693,
0.25884079933166504,
0.2306310385465622,
-0.35463520884513855,
-0.15017235279083252,
-0.08997538685798645,
0.12681719660758972,
-0.2210235744714737,
-0.31873929500579834,
0.02248654142022133,
0.1468537151813507,
0.1430858075618744,
-0.008150210604071617,
-0.05782909318804741,
-0.2477169781923294,
-0.20516584813594818,
0.08322594314813614,
-0.04834677651524544,
-0.09744031727313995,
-0.13200196623802185,
0.21839942038059235,
0.10436245799064636,
-0.14063531160354614,
-0.2313222587108612,
-0.13392621278762817,
0.35739850997924805,
0.12174567580223083,
-0.08553913235664368,
0.1825161725282669,
-0.14262963831424713,
0.10866586863994598,
0.018823904916644096,
-0.025384819135069847,
0.07357653230428696,
-0.026512816548347473,
0.109457828104496,
-0.2018422782421112,
-0.25641098618507385,
-0.07424065470695496,
-0.2803899943828583,
0.14717309176921844,
0.10414627939462662,
-0.0529727004468441,
0.008782899007201195,
-0.18328943848609924,
0.2844220995903015,
0.36497530341148376,
0.11780496686697006,
-0.09963652491569519,
-0.013917454518377781,
0.22528259456157684,
-0.22220176458358765,
0.09425390511751175,
0.44961801171302795,
0.043986886739730835,
0.06563520431518555,
-0.02828390896320343,
0.15857845544815063,
-0.20769856870174408,
-0.018284499645233154,
-0.05924854055047035,
-0.27442365884780884,
-0.018169712275266647,
0.17280763387680054,
-0.19119587540626526,
0.25152382254600525,
0.0736309215426445,
0.1553812474012375,
-0.37914833426475525,
0.18718206882476807,
0.3507705330848694,
-0.0025792052038013935,
0.19415226578712463,
-0.2856432795524597,
0.14951284229755402,
-0.02367577515542507,
0.09032062441110611,
-0.27035999298095703,
0.3451123535633087,
0.0853993147611618,
-0.02180611714720726,
0.08363576978445053,
0.16912171244621277,
-0.10833396762609482,
-0.33761361241340637,
-0.0048829554580152035,
-0.0880928635597229,
-0.07047468423843384,
-0.5443993806838989,
-0.46642449498176575,
-0.22646990418434143,
-0.3945833742618561,
0.07105030119419098,
-0.16874152421951294,
0.38178619742393494,
0.02951897494494915,
0.2477216273546219,
-0.09672477096319199,
-0.1826779842376709,
-0.46176472306251526,
0.010245916433632374,
0.42088058590888977,
-0.046756893396377563,
0.17743198573589325,
0.21671564877033234,
0.41431307792663574,
0.3571798503398895,
0.16161072254180908,
0.23874562978744507,
0.18882715702056885,
-0.2336151897907257,
-0.2279312014579773,
0.03246549516916275,
0.08932047337293625,
-0.19615767896175385,
0.17421679198741913,
0.2599768042564392,
0.04339063540101051,
0.3002179265022278,
0.132206529378891,
-0.2410813421010971,
0.07742050290107727,
0.2649875283241272,
-0.0035750248935073614,
-0.21412977576255798,
0.29473695158958435,
-0.03916145861148834,
0.018682796508073807,
-0.33147430419921875,
0.3797481954097748,
-0.5077443718910217,
-0.08658923208713531,
-0.5439392328262329,
0.15140385925769806,
0.17864570021629333,
-0.12435408681631088,
0.10393213480710983,
0.26889467239379883,
0.41731399297714233,
-0.127236008644104,
0.3387746214866638,
-0.28413739800453186,
-0.46132057905197144,
-0.26536378264427185,
-0.04585053399205208,
0.039508700370788574,
0.27052944898605347,
-0.43093833327293396,
0.28873541951179504,
-0.29741501808166504,
0.051450327038764954,
0.2745601534843445,
0.42833009362220764,
0.24691952764987946,
0.06649734079837799,
-0.33822908997535706,
0.1559215635061264,
0.19840335845947266,
-0.08824482560157776,
-0.11956939101219177,
0.13063283264636993,
-0.17390663921833038,
0.019816448912024498,
0.1097150519490242,
0.08555615693330765,
-0.3465365171432495,
-0.2886541783809662,
0.4207555949687958,
0.33852237462997437,
0.27506640553474426,
0.26808562874794006,
-0.37258148193359375,
-0.38539496064186096,
0.03100375458598137,
-0.12375269085168839,
-0.0627094954252243,
0.062282588332891464,
-0.06584226340055466,
0.3876439929008484,
0.025063853710889816,
0.07477404177188873,
0.07386086881160736,
0.5041282176971436,
0.05595526471734047,
0.0017199635040014982,
-0.22703063488006592,
-0.026206299662590027,
0.09364594519138336,
0.06342308223247528,
-0.6129956841468811,
0.40744340419769287,
0.0005166334449313581,
0.18714416027069092,
-0.2337079793214798,
-0.2538995146751404,
0.37504610419273376,
-0.3584226965904236,
0.27204254269599915,
-0.09970097243785858,
0.34275397658348083,
0.2217620611190796,
0.29680484533309937,
0.04679165408015251,
-0.10589522123336792,
0.0717540830373764,
0.29574862122535706,
0.162244513630867,
0.23034587502479553,
-0.2334207147359848,
-0.08380375802516937,
-0.0016766850603744388,
0.29279467463493347,
0.0649266391992569,
-0.29197120666503906,
0.4134342670440674,
-0.184107705950737
] |
https://github.com/huggingface/datasets/issues/224 | [Feature Request/Help] BLEURT model -> PyTorch | Hitting this error when using bleurt with PyTorch ...
```
UnrecognizedFlagError: Unknown command line flag 'f'
```
... and I'm assuming because it was built for TF specifically. Is there a way to use this metric in PyTorch? | Hi, I am interested in porting google research's new BLEURT learned metric to PyTorch (because I wish to do something experimental with language generation and backpropping through BLEURT). I noticed that you guys don't have it yet so I am partly just asking if you plan to add it (@thomwolf said you want to do so on Twitter).
I had a go of just like manually using the checkpoint that they publish which includes the weights. It seems like the architecture is exactly aligned with the out-of-the-box BertModel in transformers just with a single linear layer on top of the CLS embedding. I loaded all the weights to the PyTorch model but I am not able to get the same numbers as the BLEURT package's python api. Here is my colab notebook where I tried https://colab.research.google.com/drive/1Bfced531EvQP_CpFvxwxNl25Pj6ptylY?usp=sharing . If you have any pointers on what might be going wrong that would be much appreciated!
Thank you muchly! | 38 | [Feature Request/Help] BLEURT model -> PyTorch
Hi, I am interested in porting google research's new BLEURT learned metric to PyTorch (because I wish to do something experimental with language generation and backpropping through BLEURT). I noticed that you guys don't have it yet so I am partly just asking if you plan to add it (@thomwolf said you want to do so on Twitter).
I had a go of just like manually using the checkpoint that they publish which includes the weights. It seems like the architecture is exactly aligned with the out-of-the-box BertModel in transformers just with a single linear layer on top of the CLS embedding. I loaded all the weights to the PyTorch model but I am not able to get the same numbers as the BLEURT package's python api. Here is my colab notebook where I tried https://colab.research.google.com/drive/1Bfced531EvQP_CpFvxwxNl25Pj6ptylY?usp=sharing . If you have any pointers on what might be going wrong that would be much appreciated!
Thank you muchly!
Hitting this error when using bleurt with PyTorch ...
```
UnrecognizedFlagError: Unknown command line flag 'f'
```
... and I'm assuming because it was built for TF specifically. Is there a way to use this metric in PyTorch? | [
0.0004881111963186413,
-0.19440069794654846,
0.09777987748384476,
0.1410355120897293,
0.2860071063041687,
-0.2194754034280777,
0.29816076159477234,
0.17576171457767487,
0.1684710532426834,
0.15842966735363007,
-0.22391483187675476,
0.20470838248729706,
-0.47158339619636536,
0.24365317821502686,
-0.039452627301216125,
-0.09374258667230606,
-0.18991369009017944,
-0.0336320698261261,
0.10520436614751816,
-0.015585321001708508,
-0.09069841355085373,
0.2365889698266983,
0.04565054550766945,
-0.028711872175335884,
-0.3174610435962677,
0.35047978162765503,
0.05522030219435692,
0.05592724308371544,
-0.14533686637878418,
-0.032764680683612823,
0.34637650847435,
-0.1924695372581482,
0.2557666301727295,
0.7926076054573059,
-0.00012355620856396854,
-0.21305102109909058,
0.0671902596950531,
-0.011289668269455433,
-0.2755616307258606,
-0.30580487847328186,
0.4654068648815155,
-0.2523367404937744,
0.0014709261013194919,
-0.20474672317504883,
-0.02709219604730606,
-0.06222663074731827,
-0.20242886245250702,
-0.08055948466062546,
0.00865213107317686,
0.3162076473236084,
0.04068648815155029,
0.20291867852210999,
0.0005700011388398707,
0.07062750309705734,
0.09595873951911926,
-0.10698021948337555,
-0.11937190592288971,
0.58992600440979,
0.1905047595500946,
-0.039019327610731125,
-0.1993449628353119,
0.16511228680610657,
0.15574391186237335,
0.22187571227550507,
0.7811315655708313,
0.039632346481084824,
-0.10514849424362183,
0.00786141399294138,
0.05174289271235466,
0.35052216053009033,
-0.05701661854982376,
-0.23309923708438873,
-0.24215492606163025,
0.1831979602575302,
0.0682874470949173,
-0.2815706729888916,
-0.2522395849227905,
0.052199121564626694,
0.04698903486132622,
-0.277474045753479,
-0.38262972235679626,
-0.354801207780838,
-0.25620731711387634,
0.1344299465417862,
-0.2618776559829712,
0.39998820424079895,
-0.06487245857715607,
-0.05895066261291504,
0.1828380972146988,
0.05480595678091049,
0.2097087800502777,
-0.012297527864575386,
0.35755327343940735,
0.3185586929321289,
0.04500043764710426,
-0.2273324579000473,
0.15664002299308777,
-0.14627201855182648,
0.06553870439529419,
-0.24303418397903442,
-0.23485715687274933,
0.12916594743728638,
-0.31121826171875,
0.009082162752747536,
-0.005181606393307447,
0.4701381027698517,
0.038915470242500305,
0.374993234872818,
0.35039106011390686,
0.2842979431152344,
-0.029754703864455223,
-0.07869115471839905,
-0.06778515875339508,
-0.25943997502326965,
0.2883804142475128,
0.1613946408033371,
-0.21710920333862305,
-0.31106966733932495,
-0.14794117212295532,
-0.058148421347141266,
-0.1836254745721817,
-0.2136000096797943,
0.3854411840438843,
0.24474015831947327,
-0.3576725125312805,
-0.11658446490764618,
0.5851030349731445,
0.05812997743487358,
-0.21005220711231232,
0.0859040915966034,
-0.09296050667762756,
-0.09709098935127258,
-0.29787346720695496,
0.08617319166660309,
0.20618456602096558,
-0.1500411033630371,
0.20931997895240784,
-0.10786949098110199,
0.6836867332458496,
0.1358180046081543,
0.18622805178165436,
0.3334335684776306,
0.0832948237657547,
-0.1664726585149765,
-0.24997089803218842,
-0.4027537703514099,
0.25848880410194397,
0.09364023804664612,
-0.17199403047561646,
0.06458297371864319,
-0.1143132746219635,
-0.3340193033218384,
-0.2537497878074646,
0.0032773467246443033,
-0.2937202751636505,
-0.13937215507030487,
0.04673707112669945,
0.3141675591468811,
0.0852745845913887,
-0.29998788237571716,
0.021875780075788498,
-0.2990495562553406,
-0.2519974410533905,
0.09707092493772507,
0.2996882200241089,
-0.34366199374198914,
-0.37325894832611084,
-0.4258343577384949,
0.11343003809452057,
0.38207101821899414,
0.2269522100687027,
0.1458989530801773,
-0.150264173746109,
-0.11249770224094391,
0.18048417568206787,
-0.32851162552833557,
0.3918120563030243,
0.03860608488321304,
-0.1812959611415863,
-0.23008054494857788,
0.10167451202869415,
-0.2862389087677002,
-0.21849651634693146,
0.06395995616912842,
-0.18907776474952698,
-0.12197019904851913,
0.3215979337692261,
0.2692633867263794,
-0.15223905444145203,
-0.11927420645952225,
-0.23923201858997345,
-0.2757667303085327,
0.2382388859987259,
0.10660869628190994,
0.38597196340560913,
-0.01850191131234169,
0.15808351337909698,
0.5193024277687073,
0.01872292347252369,
-0.4093894362449646,
-0.045770637691020966,
-0.13258512318134308,
0.3818318545818329,
-0.2926696240901947,
0.39089134335517883,
-0.3206767737865448,
-0.12131356447935104,
0.23700399696826935,
-0.22047209739685059,
0.3617452085018158,
0.19992277026176453,
0.1151999905705452,
-0.1020440086722374,
-0.04495696723461151,
0.34095510840415955,
0.039177969098091125,
-0.11112784594297409,
-0.14549992978572845,
-0.23571942746639252,
-0.19972261786460876,
-0.20018041133880615,
-0.33275464177131653,
-0.2919321358203888,
-0.05433240905404091,
0.42354923486709595,
0.20417174696922302,
-0.03849977254867554,
-0.08839336782693863,
-0.08542531728744507,
0.4208585023880005,
0.13108496367931366,
0.21697218716144562,
-0.12121205031871796,
-0.2075587511062622,
0.13657163083553314,
-0.2814391255378723,
0.24335339665412903,
0.2878023087978363,
0.3453332781791687,
-0.08362112194299698,
0.17048504948616028,
0.2630353271961212,
-0.12292072921991348,
-0.05530737340450287,
-0.059550024569034576,
0.23119066655635834,
0.2989153265953064,
0.26676926016807556,
0.2532309293746948,
0.07388028502464294,
-0.28169959783554077,
0.05441161245107651,
0.01285078376531601,
0.01236666738986969,
0.41856783628463745,
-0.2691681981086731,
-0.14407919347286224,
-0.1935265213251114,
0.20795486867427826,
0.06539348512887955,
0.37455567717552185,
-0.026033461093902588,
0.042965568602085114,
0.3506181538105011,
-0.2904781103134155,
-0.2164357751607895,
-0.12244254350662231,
-0.02304842695593834,
0.17220070958137512,
0.10130861401557922,
0.4216384291648865,
0.12463139742612839,
-0.10538551211357117,
0.07629330456256866,
-0.05406509339809418,
0.11428827792406082,
-0.19989176094532013,
-0.10426616668701172,
0.04114838317036629,
0.08948389440774918,
0.16858097910881042,
-0.019061096012592316,
0.06301760673522949,
0.12986312806606293,
-0.2475425899028778,
0.36891698837280273,
0.03347448259592056,
0.3673946261405945,
-0.1088700219988823,
-0.30087098479270935,
-0.25574791431427,
-0.18844951689243317,
0.008498410694301128,
0.25391143560409546,
0.09166216850280762,
-0.14201869070529938,
0.05402098968625069,
0.46499115228652954,
-0.0766248106956482,
-0.14190183579921722,
-0.029270092025399208,
-0.3652303218841553,
-0.34538912773132324,
0.00930763315409422,
0.041948579251766205,
0.042096201330423355,
0.09645827859640121,
0.08965020626783371,
-0.03133614733815193,
-0.23312753438949585,
-0.7229449152946472,
0.0043877772986888885,
-0.006776303518563509,
0.28053438663482666,
0.21111781895160675,
-0.08313439786434174,
-0.3391117453575134,
0.004089529160410166,
0.05235622450709343,
-0.5004478693008423,
-0.005801171064376831,
0.3323717713356018,
-0.3564039468765259,
0.08894725888967514,
-0.07864081859588623,
-0.10566962510347366,
-0.09344351291656494,
-0.07754146307706833,
-0.07092245668172836,
0.1984407901763916,
0.05370669811964035,
-0.05838702246546745,
-0.020465658977627754,
0.4024656116962433,
0.5086859464645386,
-0.04803271219134331,
-0.16854068636894226,
0.24041227996349335,
0.34235885739326477,
-0.3283780515193939,
-0.30375558137893677,
-0.028277447447180748,
0.06587962806224823,
0.029017644003033638,
0.005569435190409422,
-0.30144375562667847,
-0.4165251851081848,
-0.1035078838467598,
-0.0752798318862915,
0.05142509564757347,
0.20570331811904907,
0.024882502853870392,
0.02475367859005928,
0.07888978719711304,
-0.2982487380504608,
-0.20026558637619019,
-0.019337110221385956,
0.14835581183433533,
0.709057629108429,
-0.1582220494747162,
-0.17756019532680511,
0.148504376411438,
0.8652082681655884,
0.01293997373431921,
-0.45980173349380493,
0.10806480795145035,
0.17440655827522278,
0.09269385784864426,
0.01570582203567028,
-0.21939250826835632,
0.2692297101020813,
-0.30339282751083374,
-0.1727745234966278,
0.3044235408306122,
0.10612781345844269,
-0.12558585405349731,
-0.27442967891693115,
-0.1240757554769516,
0.5246572494506836,
-0.1307867467403412,
0.043277062475681305,
0.08086630702018738,
0.027793755754828453,
-0.05913775786757469,
-0.13328935205936432,
-0.33599796891212463,
-0.11665191501379013,
0.28862085938453674,
0.0849209576845169,
-0.01689912937581539,
0.0468011312186718,
0.4622920751571655,
-0.11969182640314102,
-0.5215772986412048,
0.4779229760169983,
0.14861808717250824,
-0.6269400119781494,
0.030342500656843185,
-0.09077303111553192,
-0.01497798040509224,
-0.004339572042226791,
-0.30573028326034546,
0.08299003541469574,
0.022056449204683304,
-0.02300361730158329,
0.04754474014043808,
-0.26395514607429504,
0.1110740676522255,
-0.13539715111255646,
-0.3203109800815582,
0.47493600845336914,
0.2835911214351654,
-0.35798653960227966,
0.06025190278887749,
0.26615551114082336,
0.3918269872665405,
-0.16820651292800903,
-0.04425893351435661,
-0.3871445953845978,
-0.24752135574817657,
0.0511750727891922,
-0.16052784025669098,
0.05983075127005577,
0.2689394950866699,
0.06398972123861313,
0.15757103264331818,
0.1485833078622818,
-0.052385203540325165,
0.15332184731960297,
0.06338650733232498,
0.0676540806889534,
-0.03543031960725784,
0.03659791126847267,
0.1509351283311844,
-0.05382094159722328,
0.16688130795955658,
0.31179079413414,
-0.41491469740867615,
-0.49683740735054016,
0.1397722214460373,
0.26618656516075134,
0.21740740537643433,
0.03491002693772316,
0.07774903625249863,
-0.10712707787752151,
0.32527950406074524,
0.31367388367652893,
0.17274154722690582,
0.32259780168533325,
0.15361587703227997,
0.31555402278900146,
0.11419893801212311,
-0.18386094272136688,
0.3391725420951843,
-0.11920905858278275,
0.1223263293504715,
0.34898853302001953,
0.029947733506560326,
-0.027535313740372658,
0.06459622830152512,
0.5371320843696594,
0.9507373571395874,
0.07198932021856308,
0.10562974214553833,
0.3453923463821411,
-0.215912863612175,
0.3318781554698944,
-0.13465960323810577,
-0.0547708123922348,
-0.20902861654758453,
-0.27686455845832825,
-0.02873704954981804,
-0.009400848299264908,
-0.41684210300445557,
-0.3024942874908447,
-0.24513137340545654,
0.17041294276714325,
-0.3722742795944214,
-0.2893781065940857,
0.2739180028438568,
0.28952452540397644,
-0.012750701978802681,
0.026801927015185356,
0.28437095880508423,
0.072120800614357,
-0.24628637731075287,
0.3137527406215668,
-0.06892000138759613,
-0.13711807131767273,
-0.12174974381923676,
0.11128230392932892,
-0.34428122639656067,
0.1823102980852127,
-0.14361557364463806,
-0.04318654537200928,
-0.13794079422950745,
-0.2727847993373871,
0.04846378415822983,
0.04304049164056778,
0.760071873664856,
0.019664937630295753,
-0.3796810209751129,
0.22250451147556305,
-0.0693352073431015,
0.18749578297138214,
0.12328057736158371,
-0.11628574132919312,
0.36192774772644043,
-0.21870289742946625,
-0.08358759433031082,
-0.1212911605834961,
0.23607264459133148,
-0.44642966985702515,
0.16874219477176666,
-0.15053196251392365,
-0.16223572194576263,
0.011513803154230118,
0.24560847878456116,
0.23653115332126617,
0.11821123957633972,
-0.10112264752388,
0.05867791548371315,
0.1474025547504425,
-0.23920838534832,
0.03270941600203514,
0.04361796751618385,
-0.31197041273117065,
0.029099145904183388,
-0.041438158601522446,
-0.07832906395196915,
-0.009219806641340256,
0.22514589130878448,
0.18119817972183228,
-0.08502651005983353,
0.23313820362091064,
-0.5456887483596802,
0.4800319969654083,
-0.397786021232605,
0.16316542029380798,
0.08292680978775024,
-0.03360690176486969,
0.08675359189510345,
0.7250290513038635,
0.4419586956501007,
0.13836151361465454,
-0.45515573024749756,
0.10337221622467041,
-0.3853459060192108,
0.05548091605305672,
-0.18755128979682922,
0.3016716539859772,
-0.21308331191539764,
0.16312801837921143,
-0.051664385944604874,
0.19557583332061768,
-0.19422313570976257,
-0.019208339974284172,
0.12870511412620544,
-0.13616466522216797,
0.05789308622479439,
-0.36982840299606323,
0.18015773594379425,
0.07099325209856033,
-0.2820509076118469,
-0.12980453670024872,
0.07917574793100357,
-0.0011406919220462441,
-0.49501484632492065,
0.16216841340065002,
0.23006001114845276,
-0.015350005589425564,
-0.3231397867202759,
-0.445538192987442,
-0.05745205655694008,
-0.10607441514730453,
0.021053338423371315,
0.14171026647090912,
0.044790253043174744,
0.3292350172996521,
-0.059124648571014404,
-0.04719117656350136,
-0.10355976969003677,
-0.05455062538385391,
0.4670523703098297,
0.22028197348117828,
0.11532914638519287,
0.012021305970847607,
0.343756765127182,
0.001460233354009688,
0.13209153711795807,
0.029761342331767082,
0.006226769182831049,
0.06046155467629433,
0.297881543636322,
0.14499522745609283,
0.19285275042057037,
-0.36993929743766785,
0.2290143072605133,
0.14820770919322968,
0.12221922725439072,
-0.16198107600212097,
0.17190201580524445,
0.03464852273464203,
-0.23638753592967987,
-0.2088804394006729,
-0.3177430033683777,
0.08207542449235916,
-0.17358551919460297,
0.13484296202659607,
-0.2804165184497833,
0.4191928207874298,
0.31389856338500977,
-0.09825564920902252,
-0.24227790534496307,
-0.22451092302799225,
0.068136066198349,
0.16164055466651917,
-0.18700948357582092,
0.3133464753627777,
0.40764516592025757,
0.11467631161212921,
0.2044929563999176,
-0.4011959135532379,
-0.14249007403850555,
0.06567215174436569,
-0.42258694767951965,
-0.08957450091838837,
0.322716623544693,
0.11632955074310303,
-0.05320845544338226,
-0.13574358820915222,
0.17436078190803528,
-0.07144564390182495,
-0.1919138878583908,
0.39544880390167236,
-0.3155261278152466,
-0.21161696314811707,
-0.08746592700481415,
0.3562181890010834,
0.1253105103969574,
0.09618951380252838,
0.10229621827602386,
-0.08662384748458862,
0.20117226243019104,
-0.05531727522611618,
0.033217016607522964,
0.15262672305107117,
-0.1583862155675888,
0.12446334213018417,
-0.041024547070264816,
0.2651278078556061,
-0.7464026808738708,
0.29261302947998047,
0.28785309195518494,
0.14978215098381042,
-0.21726630628108978,
0.11766485124826431,
-0.013434577733278275,
-0.05370185524225235,
0.31687065958976746,
0.03299375995993614,
0.19358164072036743,
-0.37752780318260193,
-0.036858413368463516,
0.21869459748268127,
0.001962229609489441,
0.1600332111120224,
0.1604834347963333,
0.49909543991088867,
-0.18967555463314056,
0.057537224143743515,
-0.10264860838651657,
-0.14954738318920135,
0.41688254475593567,
-0.3948409855365753,
0.1670200079679489,
-0.061144664883613586,
0.8726226091384888,
0.2835284173488617,
-0.15029354393482208,
-0.2694928050041199,
-0.08044777065515518,
-0.21827715635299683,
0.08427560329437256,
0.08718162029981613,
-0.12014015018939972,
0.07406158000230789,
-0.05157200247049332,
0.0068646748550236225,
0.1870853453874588,
0.18445274233818054,
0.24675065279006958,
0.3651895225048065,
-0.27606531977653503,
0.31659817695617676,
-0.3954794108867645,
0.15575827658176422,
0.17428401112556458,
0.06074550375342369,
-0.048489246517419815,
-0.1410810500383377,
0.02348649501800537,
-0.11504437774419785,
0.2646307647228241,
-0.22524157166481018,
0.0511217936873436,
-0.18277782201766968,
-0.23931053280830383,
-0.3419874906539917,
-0.050036877393722534,
0.03890341520309448,
-0.031736768782138824,
-0.12461547553539276,
-0.06375423818826675,
-0.09631937742233276,
-0.12806999683380127,
-0.050185468047857285,
-0.29143261909484863,
0.39763715863227844,
0.37085506319999695,
0.15045668184757233,
-0.07252829521894455,
0.7684538960456848,
0.20320641994476318,
0.0067163254134356976,
0.3011976480484009,
0.20140594244003296,
-0.11478094011545181,
-0.20222105085849762,
-0.03750785440206528,
0.19382244348526,
-0.2518008053302765,
-0.26196151971817017,
-0.42612990736961365,
0.6186969876289368,
0.10939059406518936,
-0.47760042548179626,
-0.08888913691043854,
-0.2265508770942688,
-0.22605809569358826,
-0.13082464039325714,
0.26198363304138184,
0.4220677614212036,
0.07908167690038681,
0.032228779047727585,
-0.3935739994049072,
0.07538677752017975,
0.5604329109191895,
-0.42825907468795776,
-0.1913510411977768,
-0.012695955112576485,
0.18095515668392181,
0.2391919046640396,
-0.3084866404533386,
-0.7673497200012207,
-0.1244048923254013,
0.11889972537755966,
0.16897816956043243,
-0.1666523665189743,
0.23522721230983734,
0.13245004415512085,
0.2679491937160492,
-0.2229093462228775,
0.5535248517990112,
-0.07835781574249268,
-0.13849279284477234,
-0.41262975335121155,
-0.09996604919433594
] |
https://github.com/huggingface/datasets/issues/224 | [Feature Request/Help] BLEURT model -> PyTorch | We currently provide a wrapper on the TensorFlow implementation: https://huggingface.co./metrics/bleurt
We have long term plans to better handle model-based metrics, but they probably won't be implemented right away
@adamwlev it would still be cool to add the BLEURT checkpoints to the transformers repo if you're interested, but that would best be discussed there :)
closing for now | Hi, I am interested in porting google research's new BLEURT learned metric to PyTorch (because I wish to do something experimental with language generation and backpropping through BLEURT). I noticed that you guys don't have it yet so I am partly just asking if you plan to add it (@thomwolf said you want to do so on Twitter).
I had a go of just like manually using the checkpoint that they publish which includes the weights. It seems like the architecture is exactly aligned with the out-of-the-box BertModel in transformers just with a single linear layer on top of the CLS embedding. I loaded all the weights to the PyTorch model but I am not able to get the same numbers as the BLEURT package's python api. Here is my colab notebook where I tried https://colab.research.google.com/drive/1Bfced531EvQP_CpFvxwxNl25Pj6ptylY?usp=sharing . If you have any pointers on what might be going wrong that would be much appreciated!
Thank you muchly! | 57 | [Feature Request/Help] BLEURT model -> PyTorch
Hi, I am interested in porting google research's new BLEURT learned metric to PyTorch (because I wish to do something experimental with language generation and backpropping through BLEURT). I noticed that you guys don't have it yet so I am partly just asking if you plan to add it (@thomwolf said you want to do so on Twitter).
I had a go of just like manually using the checkpoint that they publish which includes the weights. It seems like the architecture is exactly aligned with the out-of-the-box BertModel in transformers just with a single linear layer on top of the CLS embedding. I loaded all the weights to the PyTorch model but I am not able to get the same numbers as the BLEURT package's python api. Here is my colab notebook where I tried https://colab.research.google.com/drive/1Bfced531EvQP_CpFvxwxNl25Pj6ptylY?usp=sharing . If you have any pointers on what might be going wrong that would be much appreciated!
Thank you muchly!
We currently provide a wrapper on the TensorFlow implementation: https://huggingface.co./metrics/bleurt
We have long term plans to better handle model-based metrics, but they probably won't be implemented right away
@adamwlev it would still be cool to add the BLEURT checkpoints to the transformers repo if you're interested, but that would best be discussed there :)
closing for now | [
0.039603687822818756,
-0.2945491373538971,
0.06959482282400131,
0.1643860787153244,
0.27279895544052124,
-0.281115859746933,
0.3806675672531128,
0.1402260959148407,
0.14548733830451965,
0.16574127972126007,
-0.21055951714515686,
0.29347607493400574,
-0.45525041222572327,
0.22415998578071594,
0.06959410011768341,
-0.10988398641347885,
-0.050977613776922226,
0.03715744987130165,
0.10635921359062195,
-0.13577429950237274,
-0.10876180976629257,
0.16499051451683044,
0.05934987589716911,
-0.15254680812358856,
-0.29161548614501953,
0.3176138997077942,
0.01924951560795307,
0.025706706568598747,
-0.20944389700889587,
-0.057742226868867874,
0.2948087155818939,
-0.06041427329182625,
0.2058350145816803,
0.7945739030838013,
-0.0001224943553097546,
-0.2677384912967682,
0.13256369531154633,
-0.025316229090094566,
-0.34068188071250916,
-0.22112901508808136,
0.38395175337791443,
-0.3060535788536072,
0.08232928812503815,
-0.17544619739055634,
0.04278844594955444,
-0.034065131098032,
-0.24324031174182892,
-0.04265596717596054,
0.18749302625656128,
0.21665802597999573,
0.04224839061498642,
0.2304355949163437,
0.001225774409249425,
0.11258160322904587,
0.13914106786251068,
-0.1055869311094284,
-0.10437052696943283,
0.5303353667259216,
0.27584055066108704,
-0.062410712242126465,
-0.19226355850696564,
0.23816871643066406,
0.07783757895231247,
0.1014229878783226,
0.67167067527771,
0.03906068950891495,
-0.055595315992832184,
-0.06814554333686829,
0.005765378475189209,
0.325133740901947,
-0.11480867117643356,
-0.2151494324207306,
-0.3067013621330261,
0.08728159219026566,
0.07104223221540451,
-0.2673066258430481,
-0.217970609664917,
0.1069880798459053,
0.1001448780298233,
-0.26901230216026306,
-0.41902434825897217,
-0.3648310899734497,
-0.19585224986076355,
0.07973828911781311,
-0.27265140414237976,
0.3813110291957855,
0.009816587902605534,
-0.15502581000328064,
0.1310456246137619,
0.14506642520427704,
0.388072669506073,
-0.07437730580568314,
0.34713467955589294,
0.27463966608047485,
-0.016506530344486237,
-0.3021688461303711,
0.26859283447265625,
-0.13609075546264648,
-0.0050388239324092865,
-0.2247709184885025,
-0.16654133796691895,
0.20244823396205902,
-0.2630820572376251,
0.07759540528059006,
-0.042992301285266876,
0.4014991819858551,
-0.00024039715935941786,
0.3728131353855133,
0.3213631212711334,
0.40310537815093994,
0.10458318144083023,
-0.0196261964738369,
-0.07396192848682404,
-0.0863809883594513,
0.2585074305534363,
0.19309858977794647,
-0.22396430373191833,
-0.2521967589855194,
-0.06776212900876999,
-0.020372889935970306,
-0.2209862470626831,
-0.2402275651693344,
0.3333805501461029,
0.19345851242542267,
-0.4989130198955536,
-0.02318115346133709,
0.500805675983429,
0.006021072622388601,
-0.1655692756175995,
0.10502753406763077,
-0.1418713480234146,
-0.12604549527168274,
-0.30947232246398926,
0.07590857893228531,
0.25282445549964905,
-0.16018180549144745,
0.2812947630882263,
-0.07687186449766159,
0.4981268048286438,
0.04750412330031395,
0.303552508354187,
0.37072402238845825,
0.09624874591827393,
-0.14412473142147064,
-0.20200657844543457,
-0.3485706150531769,
0.18558332324028015,
0.05072656646370888,
-0.13151124119758606,
-0.030972514301538467,
-0.11490382254123688,
-0.2794417142868042,
-0.07502064108848572,
0.05097339302301407,
-0.2576737105846405,
-0.05764283612370491,
0.02539902739226818,
0.3534557819366455,
0.09787617623806,
-0.24719707667827606,
0.0006365206791087985,
-0.24852794408798218,
-0.16766782104969025,
0.06729394197463989,
0.39564624428749084,
-0.18060347437858582,
-0.3170183300971985,
-0.5069208145141602,
0.1681722104549408,
0.43953683972358704,
0.18799060583114624,
0.16617587208747864,
-0.2475460171699524,
-0.03294246271252632,
0.255615234375,
-0.3426561951637268,
0.273783802986145,
0.11720772832632065,
-0.3056721091270447,
-0.23019106686115265,
0.08945814520120621,
-0.30444779992103577,
-0.2189071625471115,
0.08569785207509995,
-0.14614678919315338,
-0.06445030868053436,
0.275614470243454,
0.26867637038230896,
-0.176509827375412,
-0.012937691062688828,
-0.2883857786655426,
-0.2562456429004669,
0.24622762203216553,
0.1788952648639679,
0.376988023519516,
-0.037900928407907486,
0.15235064923763275,
0.5387821197509766,
0.06697946041822433,
-0.38386011123657227,
-0.030025457963347435,
-0.15700002014636993,
0.5144119262695312,
-0.4600304961204529,
0.38164013624191284,
-0.21484945714473724,
-0.11701182276010513,
0.174919992685318,
-0.3829159140586853,
0.346668004989624,
0.15802419185638428,
0.05973011255264282,
-0.08232391625642776,
0.004818162880837917,
0.32041260600090027,
-0.04485839605331421,
-0.0798354372382164,
-0.19225312769412994,
-0.2519007623195648,
-0.15173889696598053,
-0.2314920872449875,
-0.2959872782230377,
-0.18502207100391388,
-0.040659524500370026,
0.22060562670230865,
0.3695570230484009,
-0.021372150629758835,
-0.14678028225898743,
-0.0849674642086029,
0.3680128753185272,
0.1280672252178192,
0.16879628598690033,
-0.03653458133339882,
-0.20773832499980927,
0.16967558860778809,
-0.18458376824855804,
0.25811630487442017,
0.27523818612098694,
0.4071276783943176,
0.026199225336313248,
0.28724709153175354,
0.2546691298484802,
-0.10023169964551926,
-0.10496433079242706,
-0.20701256394386292,
0.29886436462402344,
0.30754226446151733,
0.23850306868553162,
0.2911818027496338,
0.09369325637817383,
-0.2713991105556488,
0.09760583192110062,
-0.06041184812784195,
0.17113199830055237,
0.39449194073677063,
-0.13852529227733612,
-0.08198616653680801,
-0.16408947110176086,
0.14725767076015472,
0.14154811203479767,
0.36072519421577454,
-0.05262818560004234,
0.01779124140739441,
0.23726047575473785,
-0.4145682752132416,
-0.28494346141815186,
-0.08580286800861359,
0.05542213097214699,
0.1426684409379959,
0.06415930390357971,
0.41493237018585205,
0.05140382796525955,
-0.018801694735884666,
0.04474780336022377,
-0.12116041779518127,
0.15478195250034332,
-0.2346343845129013,
-0.04626809060573578,
0.08961518853902817,
0.0987381786108017,
0.09015540778636932,
0.02513960562646389,
0.07456024736166,
0.11431242525577545,
-0.14357633888721466,
0.3518407940864563,
0.13265931606292725,
0.4257064461708069,
-0.23266634345054626,
-0.3643445074558258,
-0.25728604197502136,
-0.2122785449028015,
0.03864797204732895,
0.30082911252975464,
0.07326618582010269,
-0.08552351593971252,
0.2842048704624176,
0.5591581463813782,
-0.049217186868190765,
-0.10149654746055603,
-0.06357868760824203,
-0.2979995608329773,
-0.2619437575340271,
0.013049578294157982,
-0.047072287648916245,
0.021043088287115097,
-0.012132041156291962,
0.1273242086172104,
-0.07290884852409363,
-0.16482117772102356,
-0.7918716669082642,
-0.007139210589230061,
0.06195380538702011,
0.29495614767074585,
0.12773050367832184,
-0.13784657418727875,
-0.32705438137054443,
-0.0012700125807896256,
0.017259567975997925,
-0.408931165933609,
-0.02308211289346218,
0.33340123295783997,
-0.24032610654830933,
0.020099246874451637,
-0.033198025077581406,
-0.19501246511936188,
-0.1217612773180008,
-0.03714706376194954,
0.035058025270700455,
0.1774720847606659,
0.03728392347693443,
-0.127597376704216,
0.11328990012407303,
0.3214528560638428,
0.42720866203308105,
-0.15338580310344696,
-0.03843601047992706,
0.17423078417778015,
0.4179566204547882,
-0.28755009174346924,
-0.3364487290382385,
-0.11314144730567932,
-0.042941126972436905,
0.09721902012825012,
0.020036805421113968,
-0.33385977149009705,
-0.3707350492477417,
-0.13501016795635223,
-0.15471291542053223,
0.16762395203113556,
0.21132682263851166,
0.08064763247966766,
0.13571633398532867,
0.08123902231454849,
-0.1643408089876175,
-0.11949481815099716,
-0.05120996758341789,
0.1652880311012268,
0.6772114038467407,
-0.2268800139427185,
-0.13615913689136505,
0.09984993934631348,
0.8651852011680603,
0.14755184948444366,
-0.4560469388961792,
0.03625066578388214,
0.317102313041687,
0.025822997093200684,
-0.030955852940678596,
-0.2910692095756531,
0.18813341856002808,
-0.2465851604938507,
-0.28432103991508484,
0.28277817368507385,
0.10243114829063416,
-0.2974281907081604,
-0.30319005250930786,
-0.20264524221420288,
0.5068922638893127,
-0.12234535813331604,
0.07363094389438629,
0.11307591199874878,
0.069334477186203,
-0.004519649315625429,
-0.06540888547897339,
-0.2938373386859894,
-0.12536659836769104,
0.2407931536436081,
-0.0076101720333099365,
0.09480417519807816,
-0.03745785728096962,
0.44763731956481934,
0.0032587493769824505,
-0.5484263300895691,
0.3487663269042969,
0.052934758365154266,
-0.5662445425987244,
0.1476328819990158,
-0.07294195890426636,
-0.039310675114393234,
-0.04653794690966606,
-0.32263532280921936,
0.07470045238733292,
0.03616858646273613,
-0.14837047457695007,
-0.06120492145419121,
-0.25290003418922424,
0.09232498705387115,
-0.2258288711309433,
-0.473783403635025,
0.5314671993255615,
0.3373509347438812,
-0.38272055983543396,
0.0932154580950737,
0.22271127998828888,
0.31544363498687744,
-0.20287898182868958,
-0.014692763797938824,
-0.2976086437702179,
-0.2209090143442154,
0.0764065682888031,
-0.07465646415948868,
-0.026433484628796577,
0.22570636868476868,
-0.05120127275586128,
-0.027302389964461327,
0.12710921466350555,
-0.10163131356239319,
0.1812262237071991,
0.07489588856697083,
0.008387451060116291,
-0.026714080944657326,
0.15502206981182098,
0.11128564924001694,
-0.07816680520772934,
0.19248151779174805,
0.33512261509895325,
-0.41935354471206665,
-0.5140190124511719,
0.11239608377218246,
0.15022096037864685,
0.173361137509346,
0.09620607644319534,
0.09976094961166382,
-0.010332492180168629,
0.40235885977745056,
0.2830176055431366,
0.1623782366514206,
0.2686340808868408,
0.13129739463329315,
0.4590051472187042,
0.06577198207378387,
-0.14670079946517944,
0.3369625210762024,
-0.18430663645267487,
0.02922503463923931,
0.3064761459827423,
-0.09339799731969833,
-0.026042673736810684,
0.1751045137643814,
0.4582523703575134,
0.9547620415687561,
0.11388445645570755,
0.07662276178598404,
0.29241102933883667,
-0.12001796811819077,
0.3372708559036255,
-0.24702514708042145,
0.05289674922823906,
-0.3119492828845978,
-0.3774302899837494,
-0.03756656497716904,
-0.0892936959862709,
-0.40337929129600525,
-0.2799660563468933,
-0.20358042418956757,
0.11634510010480881,
-0.34473127126693726,
-0.2265588641166687,
0.30436331033706665,
0.32432425022125244,
0.07537943869829178,
0.02156975120306015,
0.28700342774391174,
0.06190463900566101,
-0.20935139060020447,
0.3146809935569763,
-0.07800006121397018,
-0.23030881583690643,
-0.23614363372325897,
0.10131241381168365,
-0.18740463256835938,
0.26554375886917114,
-0.05719010904431343,
-0.006722102407366037,
0.010055076330900192,
-0.31991976499557495,
0.07066038250923157,
0.06933687627315521,
0.7521307468414307,
0.11961162090301514,
-0.3720661401748657,
0.14824442565441132,
-0.1703070104122162,
0.13719111680984497,
0.13435465097427368,
-0.16840821504592896,
0.36602407693862915,
-0.14322522282600403,
-0.16689880192279816,
-0.08256862312555313,
0.2166527360677719,
-0.284328430891037,
0.16792264580726624,
-0.17392045259475708,
-0.11232814937829971,
-0.07144258171319962,
0.4080495834350586,
0.32134348154067993,
0.0798187181353569,
-0.20158758759498596,
0.09625999629497528,
0.22282849252223969,
-0.27824896574020386,
0.08793029934167862,
0.13651283085346222,
-0.23687335848808289,
-0.0030594279523938894,
0.02106083557009697,
-0.045443978160619736,
-0.07609265297651291,
0.2099473774433136,
0.18963417410850525,
-0.12245622277259827,
0.2027595192193985,
-0.5506261587142944,
0.5572553277015686,
-0.4292545020580292,
0.11070135980844498,
-0.13716751337051392,
-0.022318292409181595,
0.03415057808160782,
0.6142624616622925,
0.46294936537742615,
0.17757490277290344,
-0.4233265221118927,
0.12258624285459518,
-0.4270438253879547,
0.10487641394138336,
-0.18003785610198975,
0.3510751724243164,
-0.2739531695842743,
-0.006761754862964153,
0.006709955167025328,
0.3898065984249115,
-0.22701643407344818,
-0.02636091411113739,
0.12607716023921967,
-0.0717165470123291,
-0.021651985123753548,
-0.4830065965652466,
0.11179355531930923,
0.04559294134378433,
-0.23183292150497437,
-0.10764314234256744,
0.08287975192070007,
-0.04295343905687332,
-0.4671594202518463,
0.15198083221912384,
0.18790121376514435,
0.05123540386557579,
-0.2913530170917511,
-0.3445456326007843,
-0.09238725155591965,
-0.18161232769489288,
-0.0012822888093069196,
-0.035988420248031616,
0.0712982565164566,
0.3768668472766876,
0.16384656727313995,
0.032255060970783234,
-0.2014027237892151,
-0.058261677622795105,
0.38416898250579834,
0.11524153500795364,
0.062210772186517715,
-0.08224421739578247,
0.391283243894577,
-0.023472551256418228,
0.026852861046791077,
0.05031924694776535,
0.027711622416973114,
0.08725422620773315,
0.4256473481655121,
0.0977623388171196,
0.1573861986398697,
-0.41123902797698975,
0.2807864546775818,
0.17748767137527466,
0.11828775703907013,
-0.1377708464860916,
0.18009938299655914,
0.10431331396102905,
-0.22499226033687592,
-0.23325417935848236,
-0.19721581041812897,
0.12463871389627457,
-0.1126861721277237,
0.16435369849205017,
-0.1148824617266655,
0.35515153408050537,
0.3632740080356598,
-0.009765957482159138,
-0.24801579117774963,
-0.30713972449302673,
0.04222560673952103,
0.054887983947992325,
-0.18486233055591583,
0.27694791555404663,
0.4547139108181,
0.06889302283525467,
0.10064522922039032,
-0.4465751051902771,
-0.09266699850559235,
0.08696885406970978,
-0.38432368636131287,
-0.0882023498415947,
0.34193098545074463,
0.19567836821079254,
-0.15060929954051971,
-0.20592087507247925,
0.1579788625240326,
-0.11409661918878555,
-0.13242574036121368,
0.3602489233016968,
-0.2412531077861786,
-0.14182522892951965,
-0.05407173931598663,
0.32524821162223816,
0.02627568691968918,
0.07756449282169342,
0.05787629634141922,
-0.10660640895366669,
0.06521860510110855,
-0.006445768754929304,
0.10747730731964111,
0.06735896319150925,
-0.01296466775238514,
0.1285707950592041,
-0.11017922312021255,
0.20703832805156708,
-0.6235055923461914,
0.3515489995479584,
0.3406660854816437,
0.04048692807555199,
-0.23865248262882233,
0.13110820949077606,
-0.06537609547376633,
-0.26793140172958374,
0.3332059681415558,
-0.07992029935121536,
0.20084725320339203,
-0.3434510827064514,
0.0821337103843689,
0.28266283869743347,
-0.054147426038980484,
0.06991565972566605,
0.2067144364118576,
0.40170302987098694,
-0.08867084234952927,
-0.05176202580332756,
-0.059803254902362823,
-0.17698349058628082,
0.386995792388916,
-0.44275879859924316,
0.1662399023771286,
-0.09579470008611679,
0.957119345664978,
0.34746190905570984,
-0.24923880398273468,
-0.2494019716978073,
-0.1470511257648468,
-0.34628573060035706,
0.10768326371908188,
0.17763465642929077,
-0.0383404865860939,
-0.003949153237044811,
-0.06391032040119171,
0.002883369568735361,
0.05237790569663048,
0.15503762662410736,
0.2236464023590088,
0.5317481756210327,
-0.35456860065460205,
0.29938849806785583,
-0.22832456231117249,
0.10329020023345947,
0.2751064598560333,
0.13227225840091705,
-0.12725012004375458,
-0.017683451995253563,
-0.009351537562906742,
-0.04927100986242294,
0.026652870699763298,
-0.32910633087158203,
0.0641792044043541,
-0.14669622480869293,
-0.2652188837528229,
-0.21753916144371033,
-0.04903123155236244,
0.03659207746386528,
0.04084506258368492,
-0.06513180583715439,
0.032620519399642944,
-0.12107454985380173,
-0.10738180577754974,
-0.05225258693099022,
-0.31600624322891235,
0.3485419452190399,
0.3667267858982086,
0.08986850082874298,
-0.02784149907529354,
0.6427874565124512,
0.15500769019126892,
-0.1114492267370224,
0.20141595602035522,
0.1498376429080963,
-0.11773566156625748,
-0.23597478866577148,
0.022950435057282448,
0.30525508522987366,
-0.11438208818435669,
-0.34389615058898926,
-0.4947918951511383,
0.6355995535850525,
0.1798558235168457,
-0.5693950057029724,
-0.17015694081783295,
-0.2464664876461029,
-0.1722552329301834,
-0.11563298851251602,
0.3047386407852173,
0.3367748260498047,
0.1070006936788559,
-0.017187241464853287,
-0.367851197719574,
0.06726916134357452,
0.4848317503929138,
-0.45635780692100525,
-0.07332684844732285,
-0.11960632354021072,
0.16673564910888672,
0.2647438049316406,
-0.19481337070465088,
-0.9240177273750305,
-0.1374066323041916,
0.14410839974880219,
-0.014072578400373459,
-0.17872865498065948,
0.29899731278419495,
0.2460012286901474,
0.29371097683906555,
-0.2554593086242676,
0.5315845012664795,
-0.04953821375966072,
-0.09967701882123947,
-0.4590684473514557,
-0.21204893290996552
] |
https://github.com/huggingface/datasets/issues/224 | [Feature Request/Help] BLEURT model -> PyTorch | Hi there. We ran into the same problem this year (converting BLEURT to PyTorch) and thanks to @adamwlev found his colab notebook which didn't work but served as a good starting point. Finally, we **made it work** by doing just two simple conceptual fixes:
1. Transposing 'kernel' layers instead of 'dense' ones when copying params from the original model;
2. Taking pooler_output as a cls_state in forward function of the BleurtModel class.
Plus few minor syntactical fixes for the outdated parts. The result is still not exactly the same, but is very close to the expected one (1.0483 vs 1.0474).
Find the fixed version here (fixes are commented): https://colab.research.google.com/drive/1KsCUkFW45d5_ROSv2aHtXgeBa2Z98r03?usp=sharing
| Hi, I am interested in porting google research's new BLEURT learned metric to PyTorch (because I wish to do something experimental with language generation and backpropping through BLEURT). I noticed that you guys don't have it yet so I am partly just asking if you plan to add it (@thomwolf said you want to do so on Twitter).
I had a go of just like manually using the checkpoint that they publish which includes the weights. It seems like the architecture is exactly aligned with the out-of-the-box BertModel in transformers just with a single linear layer on top of the CLS embedding. I loaded all the weights to the PyTorch model but I am not able to get the same numbers as the BLEURT package's python api. Here is my colab notebook where I tried https://colab.research.google.com/drive/1Bfced531EvQP_CpFvxwxNl25Pj6ptylY?usp=sharing . If you have any pointers on what might be going wrong that would be much appreciated!
Thank you muchly! | 109 | [Feature Request/Help] BLEURT model -> PyTorch
Hi, I am interested in porting google research's new BLEURT learned metric to PyTorch (because I wish to do something experimental with language generation and backpropping through BLEURT). I noticed that you guys don't have it yet so I am partly just asking if you plan to add it (@thomwolf said you want to do so on Twitter).
I had a go of just like manually using the checkpoint that they publish which includes the weights. It seems like the architecture is exactly aligned with the out-of-the-box BertModel in transformers just with a single linear layer on top of the CLS embedding. I loaded all the weights to the PyTorch model but I am not able to get the same numbers as the BLEURT package's python api. Here is my colab notebook where I tried https://colab.research.google.com/drive/1Bfced531EvQP_CpFvxwxNl25Pj6ptylY?usp=sharing . If you have any pointers on what might be going wrong that would be much appreciated!
Thank you muchly!
Hi there. We ran into the same problem this year (converting BLEURT to PyTorch) and thanks to @adamwlev found his colab notebook which didn't work but served as a good starting point. Finally, we **made it work** by doing just two simple conceptual fixes:
1. Transposing 'kernel' layers instead of 'dense' ones when copying params from the original model;
2. Taking pooler_output as a cls_state in forward function of the BleurtModel class.
Plus few minor syntactical fixes for the outdated parts. The result is still not exactly the same, but is very close to the expected one (1.0483 vs 1.0474).
Find the fixed version here (fixes are commented): https://colab.research.google.com/drive/1KsCUkFW45d5_ROSv2aHtXgeBa2Z98r03?usp=sharing
| [
0.031052321195602417,
-0.210395947098732,
0.11031059920787811,
0.2494821548461914,
0.2850295305252075,
-0.33688655495643616,
0.2980252504348755,
0.14864562451839447,
0.09189027547836304,
0.16699321568012238,
-0.30923911929130554,
0.3939807415008545,
-0.4846566319465637,
0.2546461224555969,
0.0468798466026783,
-0.08954044431447983,
-0.06799984723329544,
0.05894608795642853,
0.10282053053379059,
-0.1792570799589157,
-0.11254629492759705,
0.15591686964035034,
0.11106353998184204,
-0.10564228892326355,
-0.1948649138212204,
0.3722066283226013,
-0.06696424633264542,
0.11051246523857117,
-0.23483715951442719,
-0.05581812188029289,
0.23994246125221252,
-0.09313458204269409,
0.19716285169124603,
0.7407878637313843,
-0.00012301238893996924,
-0.2967880070209503,
0.10562025010585785,
-0.013817878440022469,
-0.3956652581691742,
-0.22906675934791565,
0.39341676235198975,
-0.3064045011997223,
0.1475396454334259,
-0.1882179230451584,
-0.023236092180013657,
-0.046829745173454285,
-0.2829227149486542,
-0.11125563085079193,
0.13091984391212463,
0.24891793727874756,
0.03568284213542938,
0.12069782614707947,
-0.040036510676145554,
0.1071796640753746,
0.17364279925823212,
-0.19217023253440857,
-0.025240423157811165,
0.5683518052101135,
0.3351757526397705,
-0.019422370940446854,
-0.2249428927898407,
0.17774081230163574,
0.011493615806102753,
0.10073024034500122,
0.6617962718009949,
0.040606625378131866,
-0.050766535103321075,
-0.04632411152124405,
0.0426529236137867,
0.3301610052585602,
-0.1137453019618988,
-0.19089460372924805,
-0.25507697463035583,
0.12239739298820496,
0.07248994708061218,
-0.24157017469406128,
-0.23092706501483917,
0.1607206016778946,
0.10856480151414871,
-0.24158084392547607,
-0.3910423219203949,
-0.3491125702857971,
-0.14091525971889496,
0.13794539868831635,
-0.29824990034103394,
0.30928897857666016,
-0.06806906312704086,
-0.12711910903453827,
0.1534782499074936,
0.0853557288646698,
0.34188586473464966,
-0.09555454552173615,
0.35434094071388245,
0.197038471698761,
0.0863436758518219,
-0.18238526582717896,
0.2225731611251831,
0.04210389405488968,
-0.06244329363107681,
-0.30931419134140015,
-0.12535369396209717,
0.20691783726215363,
-0.28140294551849365,
0.011796685867011547,
-0.027306264266371727,
0.32033535838127136,
0.04041891172528267,
0.3597738742828369,
0.28627604246139526,
0.37072038650512695,
0.07752560079097748,
-0.04536338523030281,
-0.08907069265842438,
-0.1548776626586914,
0.24097353219985962,
0.19222790002822876,
-0.2800590693950653,
-0.3287023603916168,
-0.03376986086368561,
-0.05419690161943436,
-0.21769686043262482,
-0.10590724647045135,
0.3486950099468231,
0.13636167347431183,
-0.49230241775512695,
-0.06439258903265,
0.6397172808647156,
0.04687034338712692,
-0.18193763494491577,
0.07984860241413116,
-0.14149200916290283,
-0.09508480876684189,
-0.3073863685131073,
0.06758333742618561,
0.21250446140766144,
-0.19385316967964172,
0.2788226306438446,
0.03200077638030052,
0.5187747478485107,
0.12528865039348602,
0.16171297430992126,
0.433599591255188,
0.1615477353334427,
-0.19241005182266235,
-0.2416660189628601,
-0.2961932420730591,
0.22628918290138245,
0.026455754414200783,
-0.11240141093730927,
0.08938439935445786,
-0.12872271239757538,
-0.3263464868068695,
-0.15209659934043884,
0.023960167542099953,
-0.28712764382362366,
-0.01919068768620491,
-0.010953431949019432,
0.27803850173950195,
0.10987827181816101,
-0.24877294898033142,
-0.032197196036577225,
-0.3951019048690796,
-0.12442508339881897,
0.09461572021245956,
0.40959542989730835,
-0.20389001071453094,
-0.4032553732395172,
-0.427376925945282,
0.1044914498925209,
0.4528108537197113,
0.3346205949783325,
0.09447552263736725,
-0.2226802259683609,
-0.20602363348007202,
0.1822289079427719,
-0.3569924831390381,
0.24966193735599518,
0.19206252694129944,
-0.27465394139289856,
-0.2299157977104187,
0.13340447843074799,
-0.2530921995639801,
-0.21538260579109192,
0.025945203378796577,
-0.15083996951580048,
-0.06364273279905319,
0.3645898997783661,
0.11044348031282425,
-0.18229316174983978,
-0.023145990446209908,
-0.37692394852638245,
-0.1707116812467575,
0.24087874591350555,
0.14524509012699127,
0.311216801404953,
0.04421854764223099,
0.13978594541549683,
0.5452297925949097,
0.1094927117228508,
-0.37678155303001404,
0.03864974156022072,
-0.20870788395404816,
0.4394530653953552,
-0.38880041241645813,
0.36291447281837463,
-0.1322948932647705,
-0.043620940297842026,
0.22862307727336884,
-0.3252674341201782,
0.44982925057411194,
0.1517198532819748,
0.13739261031150818,
-0.11641106754541397,
-0.11465409398078918,
0.285736620426178,
-0.041558247059583664,
-0.09858439117670059,
-0.17538607120513916,
-0.2840970754623413,
-0.22045330703258514,
-0.14794200658798218,
-0.25469720363616943,
-0.23914504051208496,
-0.0517391674220562,
0.19210873544216156,
0.326083242893219,
-0.06349676847457886,
-0.16392351686954498,
-0.038680560886859894,
0.3862401843070984,
0.18508075177669525,
0.21768563985824585,
-0.07578461617231369,
-0.22854949533939362,
0.11393800377845764,
-0.2082347273826599,
0.1406581550836563,
0.19605635106563568,
0.38518384099006653,
0.03162413835525513,
0.40312567353248596,
0.2144811451435089,
-0.11146383732557297,
-0.0912846252322197,
-0.1220182403922081,
0.281228244304657,
0.3246676027774811,
0.26691174507141113,
0.27549681067466736,
0.12106359004974365,
-0.24934859573841095,
0.10694184899330139,
-0.04537427797913551,
0.10155370831489563,
0.35155993700027466,
-0.16831788420677185,
0.06462013721466064,
-0.16824601590633392,
0.16156993806362152,
0.29566434025764465,
0.25689876079559326,
-0.05976742506027222,
-0.04502660036087036,
0.2192205786705017,
-0.4693129062652588,
-0.2722737193107605,
0.011139390990138054,
0.07040068507194519,
0.08245235681533813,
0.07317251712083817,
0.4600593149662018,
0.1447228491306305,
-0.016832523047924042,
0.027731165289878845,
-0.08601713180541992,
0.14787453413009644,
-0.11266202479600906,
-0.0631483644247055,
0.12503015995025635,
0.06865395605564117,
0.07814257591962814,
0.10393846035003662,
0.0552339144051075,
0.14249446988105774,
-0.18085716664791107,
0.3385641872882843,
-0.0062665375880897045,
0.4345986247062683,
-0.24935321509838104,
-0.3888389468193054,
-0.22619493305683136,
-0.24832548201084137,
-0.0348907895386219,
0.32378777861595154,
-0.013398610055446625,
-0.13628646731376648,
0.19924983382225037,
0.40451472997665405,
-0.08564754575490952,
-0.05584089457988739,
-0.11347301304340363,
-0.26379653811454773,
-0.36608439683914185,
-0.0012672677403315902,
-0.06414478272199631,
0.06512652337551117,
-0.08705322444438934,
0.0358789823949337,
-0.1546071171760559,
-0.19300711154937744,
-0.7795087695121765,
0.06021299958229065,
0.03927171975374222,
0.3000189960002899,
0.20597082376480103,
-0.13490086793899536,
-0.3109205365180969,
0.04444722831249237,
0.10181453078985214,
-0.37420234084129333,
-0.026990210637450218,
0.4176819622516632,
-0.23497271537780762,
0.07670922577381134,
-0.03322916105389595,
-0.2210606187582016,
-0.12886711955070496,
-0.022567683830857277,
-0.055178869515657425,
0.12109819054603577,
0.06527827680110931,
-0.20432546734809875,
0.1393243372440338,
0.3219202160835266,
0.41521912813186646,
-0.09877268224954605,
-0.06713975220918655,
0.22492286562919617,
0.42780089378356934,
-0.2569456994533539,
-0.30135196447372437,
-0.1849202960729599,
-0.0005778985796496272,
0.01725437119603157,
0.00037719690590165555,
-0.3237830102443695,
-0.3601541519165039,
-0.11460626125335693,
-0.1512562334537506,
0.2021995335817337,
0.16915777325630188,
0.06157870590686798,
0.22429554164409637,
0.06467705219984055,
-0.21677853167057037,
-0.16279307007789612,
-0.07023095339536667,
0.2430409938097,
0.6987826824188232,
-0.23153941333293915,
-0.09995323419570923,
0.08970408141613007,
0.7524693012237549,
0.13057473301887512,
-0.42318663001060486,
0.06254071742296219,
0.26073357462882996,
0.06086154282093048,
-0.1139405220746994,
-0.2671453654766083,
0.15565015375614166,
-0.31454017758369446,
-0.27640223503112793,
0.3156626522541046,
0.11460095643997192,
-0.2804214358329773,
-0.26112988591194153,
-0.20049650967121124,
0.4979616701602936,
-0.17563240230083466,
0.06963695585727692,
0.03468484431505203,
-0.049977947026491165,
0.02282228320837021,
-0.11708009988069534,
-0.27406203746795654,
-0.1145453080534935,
0.20600132644176483,
0.022086406126618385,
0.09041740745306015,
0.03668021038174629,
0.4527599513530731,
0.015574460849165916,
-0.7020943760871887,
0.4291401505470276,
0.09122661501169205,
-0.6415274143218994,
0.20079024136066437,
-0.15091952681541443,
-0.0830678790807724,
-0.05323386937379837,
-0.3633192777633667,
0.1148812398314476,
0.03658551722764969,
-0.06340611726045609,
-0.024902384728193283,
-0.28089115023612976,
0.019936570897698402,
-0.26069679856300354,
-0.31099650263786316,
0.6108303070068359,
0.3093995153903961,
-0.3783533275127411,
0.051323823630809784,
0.23827768862247467,
0.44776102900505066,
-0.16089589893817902,
0.035822778940200806,
-0.35688716173171997,
-0.21575260162353516,
0.09272798895835876,
-0.11704522371292114,
-0.03972245380282402,
0.2884732186794281,
-0.12854865193367004,
-0.07872021198272705,
0.24400511384010315,
-0.08774770051240921,
0.1997196227312088,
0.04970068112015724,
0.10960323363542557,
-0.09482958167791367,
0.17061850428581238,
0.05049712210893631,
0.06471368670463562,
0.2465960830450058,
0.41444987058639526,
-0.5077797770500183,
-0.47135013341903687,
0.21681654453277588,
0.16121618449687958,
0.17137634754180908,
0.10935606062412262,
0.10491982847452164,
-0.13601084053516388,
0.4354987144470215,
0.27228695154190063,
0.18568502366542816,
0.23380282521247864,
0.03917381912469864,
0.36824846267700195,
0.11878345906734467,
-0.19488820433616638,
0.392410010099411,
-0.1706746369600296,
0.014421051368117332,
0.22706560790538788,
0.0664922297000885,
-0.012271588668227196,
0.12193950265645981,
0.433799684047699,
0.9371414184570312,
0.14222003519535065,
0.09444385766983032,
0.29919978976249695,
-0.13560324907302856,
0.3273807764053345,
-0.04595360532402992,
0.028853828087449074,
-0.3419894278049469,
-0.26656433939933777,
0.04363759979605675,
-0.04958946630358696,
-0.4452959895133972,
-0.16226650774478912,
-0.19859610497951508,
0.14732925593852997,
-0.3593909740447998,
-0.2568361461162567,
0.2827571630477905,
0.28083696961402893,
0.10884791612625122,
0.03093196451663971,
0.27702635526657104,
0.08055379241704941,
-0.1751106232404709,
0.26924410462379456,
-0.08487474918365479,
-0.1843997985124588,
-0.2621048390865326,
0.13207845389842987,
-0.18024882674217224,
0.3719131648540497,
-0.1005956381559372,
-0.044855352491140366,
-0.0609016977250576,
-0.34924888610839844,
0.07375746220350266,
0.032762810587882996,
0.7054664492607117,
0.09231635928153992,
-0.30709201097488403,
0.08027929812669754,
-0.062138140201568604,
0.17744220793247223,
0.19616711139678955,
-0.14955559372901917,
0.35956010222435,
-0.13380089402198792,
-0.16223973035812378,
-0.1679966151714325,
0.14697028696537018,
-0.374942421913147,
0.2212458848953247,
-0.16459938883781433,
-0.045548468828201294,
-0.11824917793273926,
0.403385728597641,
0.3345358073711395,
0.15933948755264282,
-0.2553207576274872,
0.07714977860450745,
0.20328013598918915,
-0.2602018713951111,
0.04581964761018753,
0.11606188863515854,
-0.2364220768213272,
0.0402359813451767,
-0.009904541075229645,
0.0215242151170969,
-0.0013386906357482076,
0.23494325578212738,
0.17420607805252075,
-0.11456732451915741,
0.2359016239643097,
-0.6396331787109375,
0.5488190650939941,
-0.3684135973453522,
0.17571543157100677,
-0.13607390224933624,
-0.055178482085466385,
0.12224484235048294,
0.5733034610748291,
0.4357832372188568,
0.21459347009658813,
-0.3986988365650177,
0.18546845018863678,
-0.38894757628440857,
0.08773009479045868,
-0.1864100843667984,
0.36033186316490173,
-0.17637784779071808,
0.002971276640892029,
-0.1169334277510643,
0.23120097815990448,
-0.20673426985740662,
0.03993750363588333,
0.19829219579696655,
-0.030683159828186035,
0.009558257646858692,
-0.4418540298938751,
0.027486858889460564,
0.03583341836929321,
-0.23903535306453705,
-0.06395769864320755,
0.11508987843990326,
-0.022896211594343185,
-0.4367917478084564,
0.1588522344827652,
0.23203124105930328,
0.009141032584011555,
-0.3205920159816742,
-0.3893786370754242,
-0.13044008612632751,
-0.1896279901266098,
0.06611356139183044,
0.027370635420084,
0.06494433432817459,
0.2162601351737976,
0.2079443484544754,
0.02030543051660061,
-0.1601991057395935,
-0.0488763302564621,
0.4102197289466858,
0.1664804369211197,
0.009113945998251438,
-0.03434094041585922,
0.4261152148246765,
-0.028062203899025917,
0.19161005318164825,
0.024117888882756233,
-0.025750068947672844,
0.16407063603401184,
0.4158232510089874,
0.1315034031867981,
0.15301229059696198,
-0.39151957631111145,
0.31367576122283936,
0.25202053785324097,
0.20041392743587494,
-0.20123513042926788,
0.2113131284713745,
0.08532010018825531,
-0.2471274733543396,
-0.1780572086572647,
-0.20906932651996613,
0.05017305538058281,
-0.13712023198604584,
0.17602647840976715,
-0.11124162375926971,
0.36048200726509094,
0.3827468752861023,
-0.061240170150995255,
-0.2361864596605301,
-0.2675482928752899,
0.05084855481982231,
0.044831693172454834,
-0.21709851920604706,
0.3127981722354889,
0.5844197273254395,
0.04400474950671196,
0.0522158220410347,
-0.38256508111953735,
-0.11984249949455261,
0.008464219979941845,
-0.2900800406932831,
-0.108846016228199,
0.3588646650314331,
0.20460079610347748,
-0.10920122265815735,
-0.09902559965848923,
0.15128213167190552,
-0.07170280814170837,
-0.12134362757205963,
0.3947110176086426,
-0.4014695882797241,
-0.16226020455360413,
-0.03691441938281059,
0.35680654644966125,
-0.026629585772752762,
0.06826424598693848,
0.10880744457244873,
-0.21613892912864685,
0.07733331620693207,
-0.015025531873106956,
-0.018275009468197823,
0.09222159534692764,
0.07474453747272491,
0.10134053230285645,
-0.09447559714317322,
0.15066193044185638,
-0.7600210309028625,
0.350068062543869,
0.2666800618171692,
0.07755817472934723,
-0.19197683036327362,
0.15109218657016754,
-0.11532808840274811,
-0.2361515462398529,
0.3830999732017517,
-0.016696663573384285,
0.25774872303009033,
-0.32524359226226807,
-0.04142824187874794,
0.40660130977630615,
-0.02356482483446598,
0.043433256447315216,
0.11910467594861984,
0.45571115612983704,
-0.13713513314723969,
-0.08016843348741531,
-0.08494994044303894,
-0.171061173081398,
0.33477291464805603,
-0.39211305975914,
0.22192439436912537,
0.0573049820959568,
0.8864086270332336,
0.33054134249687195,
-0.20438863337039948,
-0.2726922631263733,
-0.09083352237939835,
-0.29800716042518616,
0.04675344377756119,
0.10341760516166687,
-0.08217316120862961,
0.027585677802562714,
-0.027783647179603577,
0.006058313883841038,
0.12412019073963165,
0.14217644929885864,
0.26756593585014343,
0.2982499301433563,
-0.3599912226200104,
0.2530737519264221,
-0.2842271327972412,
0.15552231669425964,
0.18207035958766937,
0.06622276455163956,
-0.23234108090400696,
-0.007762405555695295,
0.07117771357297897,
-0.10512084513902664,
0.05717313662171364,
-0.23002105951309204,
0.07925614714622498,
-0.21019116044044495,
-0.2341051697731018,
-0.2609878182411194,
0.06782612204551697,
-0.0144274290651083,
0.004517834167927504,
-0.08634735643863678,
0.023151902481913567,
-0.11450551450252533,
-0.09457802027463913,
0.021241702139377594,
-0.28783363103866577,
0.37281298637390137,
0.3003579080104828,
0.12165672332048416,
0.057156745344400406,
0.5850401520729065,
0.12948991358280182,
-0.17101722955703735,
0.2642612159252167,
0.1361713409423828,
-0.10343613475561142,
-0.1814618855714798,
-0.04337970167398453,
0.26375091075897217,
-0.050897132605314255,
-0.26359444856643677,
-0.5351043939590454,
0.5506895184516907,
0.11400321125984192,
-0.5117970108985901,
-0.22895289957523346,
-0.16178414225578308,
-0.18558932840824127,
-0.10991483926773071,
0.24824410676956177,
0.38117265701293945,
0.1388428509235382,
-0.028627056628465652,
-0.4515787959098816,
0.004064623266458511,
0.46507027745246887,
-0.4754208028316498,
-0.12336935102939606,
-0.12123037129640579,
0.1840689480304718,
0.29907095432281494,
-0.12919843196868896,
-0.829527735710144,
-0.1543300449848175,
0.09583055227994919,
-0.0380876250565052,
-0.13884186744689941,
0.23325426876544952,
0.11724211275577545,
0.2540245056152344,
-0.29439646005630493,
0.5520857572555542,
0.04639892652630806,
-0.1617400199174881,
-0.47914403676986694,
-0.19192816317081451
] |
https://github.com/huggingface/datasets/issues/223 | [Feature request] Add FLUE dataset | @mariamabarham
I put all the datasets on this drive: https://1drv.ms/u/s!Ao2Rcpiny7RFinDypq7w-LbXcsx9?e=iVsEDh
Some information :
• For FLUE, the quote used is
> @misc{le2019flaubert,
> title={FlauBERT: Unsupervised Language Model Pre-training for French},
> author={Hang Le and Loïc Vial and Jibril Frej and Vincent Segonne and Maximin Coavoux and Benjamin Lecouteux and Alexandre Allauzen and Benoît Crabbé and Laurent Besacier and Didier Schwab},
> year={2019},
> eprint={1912.05372},
> archivePrefix={arXiv},
> primaryClass={cs.CL}
> }
• The Github repo of FLUE is avaible here : https://github.com/getalp/Flaubert/tree/master/flue
Information related to the different tasks of FLUE :
**1. Classification**
Three dataframes are available:
- Book
- DVD
- Music
For each of these dataframes is available a set of training and test data, and a third one containing unlabelled data.
Citation :
>@dataset{prettenhofer_peter_2010_3251672,
author = {Prettenhofer, Peter and
Stein, Benno},
title = {{Webis Cross-Lingual Sentiment Dataset 2010 (Webis-
CLS-10)}},
month = jul,
year = 2010,
publisher = {Zenodo},
doi = {10.5281/zenodo.3251672},
url = {https://doi.org/10.5281/zenodo.3251672}
}
**2. Paraphrasing**
French part of the PAWS-X dataset (https://github.com/google-research-datasets/paws).
Three dataframes are available:
- train
- dev
- test
Citation :
> @InProceedings{pawsx2019emnlp,
> title = {{PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification}},
> author = {Yang, Yinfei and Zhang, Yuan and Tar, Chris and Baldridge, Jason},
> booktitle = {Proc. of EMNLP},
> year = {2019}
> }
**3. Natural Language Inference**
French part of the XNLI dataset (https://github.com/facebookresearch/XNLI).
Three dataframes are available:
- train
- dev
- test
For the dev and test datasets, extra columns compared to the train dataset were available so I left them in the dataframe (I didn't know if these columns could be useful for other tasks or not).
In the context of the FLUE benchmark, only the columns gold_label, sentence1 and sentence2 are useful.
Citation :
> @InProceedings{conneau2018xnli,
> author = "Conneau, Alexis
> and Rinott, Ruty
> and Lample, Guillaume
> and Williams, Adina
> and Bowman, Samuel R.
> and Schwenk, Holger
> and Stoyanov, Veselin",
> title = "XNLI: Evaluating Cross-lingual Sentence Representations",
> booktitle = "Proceedings of the 2018 Conference on Empirical Methods
> in Natural Language Processing",
> year = "2018",
> publisher = "Association for Computational Linguistics",
> location = "Brussels, Belgium",
**4. Parsing**
The dataset used by the FLUE authors for this task is not freely available.
Users of your library will therefore not be able to access it.
Nevertheless, I think maybe it is useful to add a link to the site where to request this dataframe: http://ftb.linguist.univ-paris-diderot.fr/telecharger.php?langue=en
(personally it was sent to me less than 48 hours after I requested it).
**5. Word Sense Disambiguation Tasks**
5.1 Verb Sense Disambiguation
Two dataframes are available: train and test
For both dataframes, 4 columns are available: document, sentence, lemma and word.
I created the document column thinking that there were several documents in the dataset but afterwards it turns out that there were not: several sentences but only one document. It's up to you to keep it or not when importing these two dataframes.
The sentence column is used to determine to which sentence the word in the word column belongs. It is in the form of a dictionary {'id': 'd000.s001', 'idx': '1'}. I thought for a while to keep only the idx because the id doesn't matter any more information. Nevertheless for the test dataset, the dictionary has an extra value indicating the source of the sentence. I don't know if it's useful or not, that's why I left the dictionary just in case. The user is free to do what he wants with it.
Citation :
> Segonne, V., Candito, M., and Crabb ́e, B. (2019). Usingwiktionary as a resource for wsd: the case of frenchverbs. InProceedings of the 13th International Confer-ence on Computational Semantics-Long Papers, pages259–270
5.2 Noun Sense Disambiguation
Two dataframes are available: 2 train and 1 test
I confess I didn't fully understand the procedure for this task.
Citation :
> @dataset{loic_vial_2019_3549806,
> author = {Loïc Vial},
> title = {{French Word Sense Disambiguation with Princeton
> WordNet Identifiers}},
> month = nov,
> year = 2019,
> publisher = {Zenodo},
> version = {1.0},
> doi = {10.5281/zenodo.3549806},
> url = {https://doi.org/10.5281/zenodo.3549806}
> }
Finally, additional information about FLUE is available in the FlauBERT publication :
https://arxiv.org/abs/1912.05372 (p. 4).
Hoping to have provided you with everything you need to add this benchmark :)
| Hi,
I think it would be interesting to add the FLUE dataset for francophones or anyone wishing to work on French.
In other requests, I read that you are already working on some datasets, and I was wondering if FLUE was planned.
If it is not the case, I can provide each of the cleaned FLUE datasets (in the form of a directly exploitable dataset rather than in the original xml formats which require additional processing, with the French part for cases where the dataset is based on a multilingual dataframe, etc.). | 723 | [Feature request] Add FLUE dataset
Hi,
I think it would be interesting to add the FLUE dataset for francophones or anyone wishing to work on French.
In other requests, I read that you are already working on some datasets, and I was wondering if FLUE was planned.
If it is not the case, I can provide each of the cleaned FLUE datasets (in the form of a directly exploitable dataset rather than in the original xml formats which require additional processing, with the French part for cases where the dataset is based on a multilingual dataframe, etc.).
@mariamabarham
I put all the datasets on this drive: https://1drv.ms/u/s!Ao2Rcpiny7RFinDypq7w-LbXcsx9?e=iVsEDh
Some information :
• For FLUE, the quote used is
> @misc{le2019flaubert,
> title={FlauBERT: Unsupervised Language Model Pre-training for French},
> author={Hang Le and Loïc Vial and Jibril Frej and Vincent Segonne and Maximin Coavoux and Benjamin Lecouteux and Alexandre Allauzen and Benoît Crabbé and Laurent Besacier and Didier Schwab},
> year={2019},
> eprint={1912.05372},
> archivePrefix={arXiv},
> primaryClass={cs.CL}
> }
• The Github repo of FLUE is avaible here : https://github.com/getalp/Flaubert/tree/master/flue
Information related to the different tasks of FLUE :
**1. Classification**
Three dataframes are available:
- Book
- DVD
- Music
For each of these dataframes is available a set of training and test data, and a third one containing unlabelled data.
Citation :
>@dataset{prettenhofer_peter_2010_3251672,
author = {Prettenhofer, Peter and
Stein, Benno},
title = {{Webis Cross-Lingual Sentiment Dataset 2010 (Webis-
CLS-10)}},
month = jul,
year = 2010,
publisher = {Zenodo},
doi = {10.5281/zenodo.3251672},
url = {https://doi.org/10.5281/zenodo.3251672}
}
**2. Paraphrasing**
French part of the PAWS-X dataset (https://github.com/google-research-datasets/paws).
Three dataframes are available:
- train
- dev
- test
Citation :
> @InProceedings{pawsx2019emnlp,
> title = {{PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification}},
> author = {Yang, Yinfei and Zhang, Yuan and Tar, Chris and Baldridge, Jason},
> booktitle = {Proc. of EMNLP},
> year = {2019}
> }
**3. Natural Language Inference**
French part of the XNLI dataset (https://github.com/facebookresearch/XNLI).
Three dataframes are available:
- train
- dev
- test
For the dev and test datasets, extra columns compared to the train dataset were available so I left them in the dataframe (I didn't know if these columns could be useful for other tasks or not).
In the context of the FLUE benchmark, only the columns gold_label, sentence1 and sentence2 are useful.
Citation :
> @InProceedings{conneau2018xnli,
> author = "Conneau, Alexis
> and Rinott, Ruty
> and Lample, Guillaume
> and Williams, Adina
> and Bowman, Samuel R.
> and Schwenk, Holger
> and Stoyanov, Veselin",
> title = "XNLI: Evaluating Cross-lingual Sentence Representations",
> booktitle = "Proceedings of the 2018 Conference on Empirical Methods
> in Natural Language Processing",
> year = "2018",
> publisher = "Association for Computational Linguistics",
> location = "Brussels, Belgium",
**4. Parsing**
The dataset used by the FLUE authors for this task is not freely available.
Users of your library will therefore not be able to access it.
Nevertheless, I think maybe it is useful to add a link to the site where to request this dataframe: http://ftb.linguist.univ-paris-diderot.fr/telecharger.php?langue=en
(personally it was sent to me less than 48 hours after I requested it).
**5. Word Sense Disambiguation Tasks**
5.1 Verb Sense Disambiguation
Two dataframes are available: train and test
For both dataframes, 4 columns are available: document, sentence, lemma and word.
I created the document column thinking that there were several documents in the dataset but afterwards it turns out that there were not: several sentences but only one document. It's up to you to keep it or not when importing these two dataframes.
The sentence column is used to determine to which sentence the word in the word column belongs. It is in the form of a dictionary {'id': 'd000.s001', 'idx': '1'}. I thought for a while to keep only the idx because the id doesn't matter any more information. Nevertheless for the test dataset, the dictionary has an extra value indicating the source of the sentence. I don't know if it's useful or not, that's why I left the dictionary just in case. The user is free to do what he wants with it.
Citation :
> Segonne, V., Candito, M., and Crabb ́e, B. (2019). Usingwiktionary as a resource for wsd: the case of frenchverbs. InProceedings of the 13th International Confer-ence on Computational Semantics-Long Papers, pages259–270
5.2 Noun Sense Disambiguation
Two dataframes are available: 2 train and 1 test
I confess I didn't fully understand the procedure for this task.
Citation :
> @dataset{loic_vial_2019_3549806,
> author = {Loïc Vial},
> title = {{French Word Sense Disambiguation with Princeton
> WordNet Identifiers}},
> month = nov,
> year = 2019,
> publisher = {Zenodo},
> version = {1.0},
> doi = {10.5281/zenodo.3549806},
> url = {https://doi.org/10.5281/zenodo.3549806}
> }
Finally, additional information about FLUE is available in the FlauBERT publication :
https://arxiv.org/abs/1912.05372 (p. 4).
Hoping to have provided you with everything you need to add this benchmark :)
| [
-0.09875038266181946,
0.2994914650917053,
-0.19066588580608368,
0.08413012325763702,
-0.09124937653541565,
0.10564146190881729,
0.4507474899291992,
-0.1468384861946106,
-0.2177068144083023,
0.004500423092395067,
-0.20793592929840088,
-0.17496609687805176,
-0.15123456716537476,
0.2744063436985016,
0.07923620194196701,
-0.3693346083164215,
-0.001966479467228055,
0.03353632986545563,
0.08688843250274658,
-0.34479328989982605,
-0.10768900066614151,
0.17830157279968262,
-0.049756765365600586,
0.19358907639980316,
-0.00017912268231157213,
0.0912407636642456,
-0.22928310930728912,
-0.15842866897583008,
-0.15099956095218658,
-0.022321274504065514,
0.13173715770244598,
0.2434057593345642,
0.07313663512468338,
0.38489067554473877,
-0.0001029056147672236,
-0.21261043846607208,
0.1268319934606552,
-0.12616340816020966,
0.02900724485516548,
0.03222448006272316,
0.022003227844834328,
-0.22676856815814972,
-0.339968204498291,
0.03778326138854027,
-0.1280571073293686,
-0.25360530614852905,
-0.18752926588058472,
-0.5613649487495422,
-0.13439111411571503,
0.5067586302757263,
0.24277840554714203,
-0.17855919897556305,
0.134841650724411,
0.014460093341767788,
0.1603563278913498,
0.27052637934684753,
-0.32320067286491394,
-0.1657283902168274,
0.6291846632957458,
0.1499028354883194,
0.03446395695209503,
0.2998955547809601,
0.2246345728635788,
-0.3710678517818451,
-0.20697060227394104,
-0.131522998213768,
-0.052246399223804474,
-0.3681866526603699,
0.02792334370315075,
0.35658735036849976,
0.6327366232872009,
-0.08152041584253311,
-0.5868775248527527,
-0.09462109953165054,
0.24371430277824402,
-0.07554955035448074,
-0.10097488760948181,
-0.13449408113956451,
0.22803421318531036,
0.19478920102119446,
0.3044317662715912,
-0.40359675884246826,
-0.06974329799413681,
0.09901520609855652,
0.08143537491559982,
0.009417501278221607,
-0.05463426932692528,
-0.017630966380238533,
0.11922582983970642,
-0.16042017936706543,
0.010838354006409645,
0.16477154195308685,
-0.06016891077160835,
0.36071035265922546,
-0.2149062603712082,
-0.32067176699638367,
0.06903496384620667,
-0.05932775139808655,
0.3171031177043915,
0.07181364297866821,
-0.6085295677185059,
0.033939849585294724,
-0.4754466116428375,
-0.13653351366519928,
0.23075523972511292,
0.14107748866081238,
0.1131884902715683,
-0.2693191170692444,
0.16951462626457214,
-0.34914833307266235,
0.1283833235502243,
-0.008936644531786442,
-0.006787311285734177,
-0.025768866762518883,
-0.2819310128688812,
0.06205982342362404,
-0.09378901869058609,
-0.345057874917984,
0.00953434593975544,
0.028470728546380997,
0.19382193684577942,
-0.2102639228105545,
-0.10387522727251053,
0.19578363001346588,
0.0845956951379776,
0.31471458077430725,
-0.18962477147579193,
0.1951976716518402,
-0.18190455436706543,
-0.6139771342277527,
-0.15016688406467438,
0.04668831825256348,
-0.25893235206604004,
0.033654000610113144,
0.11798012256622314,
-0.30589014291763306,
0.045036595314741135,
0.10600323230028152,
-0.035521797835826874,
0.2437460571527481,
0.1896088570356369,
-0.33063414692878723,
-0.14126448333263397,
-0.23433828353881836,
-0.23844799399375916,
0.08291588723659515,
0.006255154497921467,
0.29035255312919617,
-0.27429598569869995,
-0.13271577656269073,
0.0041048466227948666,
-0.07771909981966019,
-0.5493535995483398,
0.2553773522377014,
0.12873241305351257,
-0.2849130630493164,
-0.05030606687068939,
0.7471105456352234,
-0.18387609720230103,
-0.2807393968105316,
0.06724273413419724,
-0.05907456949353218,
-0.09857053309679031,
-0.064385786652565,
0.03518470376729965,
0.3334689438343048,
-0.5780584216117859,
-0.14078933000564575,
-0.21537387371063232,
-0.304147332906723,
0.2633821666240692,
0.24018250405788422,
-0.013686264865100384,
0.1278267800807953,
-0.27479520440101624,
-0.02918989583849907,
0.054755859076976776,
-0.05104229599237442,
-0.007747017312794924,
0.1915837526321411,
-0.17146135866641998,
0.2518332004547119,
0.005482812412083149,
0.07924211770296097,
-0.015348897315561771,
-0.07730896025896072,
0.2999677360057831,
0.354370653629303,
-0.26174861192703247,
-0.07039618492126465,
-0.03619963675737381,
-0.4247271418571472,
0.16641639173030853,
0.18734177947044373,
0.07433381676673889,
-0.0027770772576332092,
0.14446164667606354,
-0.23539018630981445,
0.1300501674413681,
-0.06374722719192505,
0.22386756539344788,
0.2670317590236664,
0.13562442362308502,
0.5249225497245789,
0.06076227128505707,
0.04892594739794731,
-0.1597839891910553,
-0.015664072707295418,
0.10479103028774261,
0.40204331278800964,
0.31528958678245544,
-0.1573580801486969,
-0.025230038911104202,
-0.1231057196855545,
-0.24866054952144623,
-0.3672913908958435,
0.2465508133172989,
0.2638358771800995,
0.019912902265787125,
0.33392006158828735,
-0.3577461242675781,
0.286694198846817,
-0.22801648080348969,
-0.2566807270050049,
-0.18812040984630585,
0.2682737112045288,
-0.0802951380610466,
0.02375096268951893,
-0.1958562135696411,
0.3590033948421478,
-0.10002176463603973,
-0.06508874893188477,
-0.10964313894510269,
-0.16664429008960724,
0.21401207149028778,
0.144977867603302,
0.516533374786377,
0.2998848855495453,
0.2574201822280884,
-0.2457236349582672,
-0.1387692093849182,
0.18688954412937164,
0.06296176463365555,
-0.20906668901443481,
0.14302556216716766,
0.23790739476680756,
0.1825200319290161,
0.05111707001924515,
0.06885788589715958,
-0.024305209517478943,
0.396051824092865,
0.2139659970998764,
-0.0781375914812088,
-0.1446685791015625,
0.3003721833229065,
-0.06700244545936584,
0.2817316949367523,
-0.07894700020551682,
-0.39791548252105713,
-0.02149793691933155,
0.36849814653396606,
0.022609781473875046,
0.11486007273197174,
0.1395164579153061,
-0.15276995301246643,
-0.10070925205945969,
0.21678510308265686,
-0.48139727115631104,
0.1276506930589676,
0.26268768310546875,
0.22171537578105927,
-0.16540615260601044,
0.2598189413547516,
0.03460780531167984,
0.04588068276643753,
-0.25480157136917114,
-0.10957546532154083,
-0.039889175444841385,
0.1586690992116928,
0.07674125581979752,
-0.34561771154403687,
-0.4028256833553314,
-0.002589689800515771,
0.08198960870504379,
0.0495547316968441,
-0.1989218145608902,
0.07890422642230988,
-0.05405409634113312,
0.23634356260299683,
-0.3461315631866455,
-0.26083245873451233,
-0.09982673823833466,
0.24856841564178467,
-0.3377685248851776,
-0.006428166758269072,
0.04294425994157791,
-0.1900705248117447,
0.323914498090744,
-0.03564959019422531,
-0.003153191413730383,
-0.24567262828350067,
0.005888942629098892,
-0.4746786653995514,
0.29337143898010254,
-0.0538148432970047,
-0.31592947244644165,
0.38174834847450256,
-0.07545962184667587,
0.14767509698867798,
-0.330128937959671,
-0.510715126991272,
0.1697303205728531,
-0.12999436259269714,
0.5753856897354126,
0.12542341649532318,
0.02576473169028759,
0.013468258082866669,
-0.12582671642303467,
0.02396153286099434,
-0.054652757942676544,
-0.16415326297283173,
-0.1144847422838211,
-0.08873166143894196,
0.4223630428314209,
0.03869732469320297,
-0.4531417191028595,
-0.4203663468360901,
-0.17231138050556183,
0.25293299555778503,
-0.16396576166152954,
-0.0030103481840342283,
0.22998593747615814,
-0.13780352473258972,
0.13826419413089752,
0.00990669522434473,
0.13187921047210693,
-0.26472780108451843,
0.027846159413456917,
0.2004290670156479,
-0.31068673729896545,
-0.2774637043476105,
0.061187196522951126,
-0.09069826453924179,
0.0852126032114029,
-0.24416622519493103,
-0.36258020997047424,
0.2580146789550781,
-0.095871701836586,
0.27385035157203674,
-0.19152098894119263,
0.07490350306034088,
0.19146353006362915,
0.16966593265533447,
-0.06745770573616028,
0.11042970418930054,
0.007872041314840317,
-0.13218477368354797,
0.010557126253843307,
0.08699101954698563,
-0.10921625047922134,
-0.08538511395454407,
-0.011631248518824577,
0.294559508562088,
-0.011590355075895786,
0.06750230491161346,
0.28061443567276,
0.026751255616545677,
0.23155401647090912,
-0.3706284165382385,
-0.4429991841316223,
0.35534632205963135,
0.040035977959632874,
0.04863426089286804,
0.4195977449417114,
0.21355532109737396,
-0.21425575017929077,
-0.20989418029785156,
0.052577827125787735,
0.18030858039855957,
-0.07134514302015305,
0.04076283425092697,
-0.10820154845714569,
0.1665843427181244,
-0.24493445456027985,
-0.21670763194561005,
-0.17305929958820343,
-0.10115182399749756,
0.25474417209625244,
0.32768532633781433,
0.09362087398767471,
-0.07407199591398239,
-0.22788797318935394,
0.23817911744117737,
-0.3003154993057251,
-0.04435830935835838,
0.08408188074827194,
0.2546118497848511,
-0.2716084420681,
0.33530527353286743,
0.03002925030887127,
0.1542760580778122,
0.21860188245773315,
-0.6904952526092529,
-0.49393826723098755,
0.13585588335990906,
0.30606648325920105,
0.15567129850387573,
0.17673593759536743,
-0.18371880054473877,
-0.22654828429222107,
0.3084178864955902,
0.24551022052764893,
-0.16246266663074493,
0.029782148078083992,
0.19417041540145874,
0.4270161986351013,
-0.01719934307038784,
-0.04692133143544197,
0.0955205038189888,
-0.16586390137672424,
-0.0973813533782959,
0.3946688771247864,
-0.029312407597899437,
0.0171725545078516,
0.08575302362442017,
0.13707469403743744,
-0.033564046025276184,
0.20169410109519958,
0.2797219455242157,
-0.059395693242549896,
-0.16069503128528595,
0.1521374136209488,
0.08683421462774277,
-0.04038185626268387,
-0.4850473403930664,
0.0786108747124672,
0.19921673834323883,
-0.02088051661849022,
-0.5251500010490417,
0.08761663734912872,
-0.2386714518070221,
0.4695502817630768,
0.16024017333984375,
0.2618008852005005,
0.3291909396648407,
-0.27755218744277954,
-0.21814991533756256,
0.03038795292377472,
0.28314700722694397,
0.4071323871612549,
-0.03894438594579697,
-0.43501943349838257,
-0.7765524983406067,
-0.0014824357349425554,
-0.09129580855369568,
0.016643473878502846,
0.412848562002182,
0.4393831193447113,
-0.13270750641822815,
0.24752601981163025,
0.07675985991954803,
0.9190419912338257,
0.23129484057426453,
0.041550472378730774,
0.07719279080629349,
-0.08021669834852219,
0.19294792413711548,
-0.3251575529575348,
-0.1349240243434906,
0.049671582877635956,
-0.2305435836315155,
0.005984198302030563,
0.2619851529598236,
0.34716567397117615,
0.24996443092823029,
-0.23360663652420044,
0.1004996970295906,
0.0962321013212204,
-0.19594235718250275,
0.29610997438430786,
0.30820369720458984,
0.10677450150251389,
-0.43125560879707336,
0.0338464230298996,
0.2304360717535019,
0.04379310458898544,
0.203846275806427,
-0.07254540920257568,
-0.05668436363339424,
0.10696342587471008,
0.1314011514186859,
-0.4548586905002594,
-0.07609447836875916,
-0.5070955157279968,
0.1264173835515976,
-0.4729512631893158,
0.08941642940044403,
0.20291359722614288,
-0.08584196865558624,
0.4214228689670563,
0.471717894077301,
0.0409158319234848,
0.022924842312932014,
0.4762382209300995,
0.06284089386463165,
-0.08770652860403061,
-0.23555314540863037,
0.2755264937877655,
-0.05053960159420967,
-0.2636352777481079,
0.3230833113193512,
-0.2016753852367401,
-0.1362142264842987,
-0.38254687190055847,
-0.11632005125284195,
-0.10659167915582657,
-0.045728541910648346,
-0.17525918781757355,
0.41036558151245117,
0.17232730984687805,
-0.19534604251384735,
0.1480228304862976,
0.3497506380081177,
-0.23559977114200592,
-0.19416159391403198,
0.10732927918434143,
-0.09747235476970673,
-0.3136829435825348,
-0.22665981948375702,
0.2490626871585846,
-0.6465169191360474,
0.2945064306259155,
0.4389958381652832,
-0.15036335587501526,
-0.235343798995018,
0.08640551567077637,
0.4400276243686676,
-0.47015345096588135,
-0.3849065899848938,
0.005976988468319178,
-0.14805977046489716,
-0.04269803687930107,
0.2869281768798828,
0.06661021709442139,
-0.20611144602298737,
0.1507674604654312,
-0.09458687901496887,
-0.36929088830947876,
-0.028940768912434578,
0.14872445166110992,
0.1253795176744461,
0.2711096704006195,
-0.22384385764598846,
0.035785287618637085,
0.07909552752971649,
-0.3972320258617401,
-0.10924999415874481,
-0.10658673197031021,
0.003047720994800329,
0.24276535212993622,
0.05568705126643181,
0.014138440601527691,
0.034010618925094604,
0.19847683608531952,
-0.34704363346099854,
-0.07309707254171371,
-0.1833736151456833,
-0.11463214457035065,
0.07452717423439026,
0.1349310278892517,
0.12282261997461319,
-0.0779469907283783,
-0.03505604341626167,
-0.10303755104541779,
-0.14566507935523987,
0.11736589670181274,
0.07653243839740753,
-0.07971994578838348,
0.2564331293106079,
-0.09329713881015778,
0.011541368439793587,
-0.1612447053194046,
0.09220381081104279,
0.2833353877067566,
0.04205577075481415,
0.28873154520988464,
0.16807034611701965,
0.185028076171875,
-0.13068309426307678,
0.08269313722848892,
0.2942381203174591,
-0.004716777242720127,
0.3498413860797882,
-0.13883361220359802,
0.037948984652757645,
0.28711938858032227,
0.3044240474700928,
-0.07962300628423691,
0.02395438589155674,
-0.10387226939201355,
-0.038740165531635284,
0.34125956892967224,
0.28051453828811646,
-0.32523113489151,
0.1633782982826233,
0.10603304952383041,
-0.14815393090248108,
0.1985509693622589,
0.21697619557380676,
0.3297952115535736,
0.29217633605003357,
0.4217361509799957,
-0.15993660688400269,
-0.135613352060318,
0.010873841121792793,
0.4031977951526642,
0.32408249378204346,
-0.037428487092256546,
-0.1339367926120758,
0.09704098850488663,
0.26424261927604675,
0.010727941989898682,
0.27406206727027893,
-0.13993868231773376,
0.3285216987133026,
0.19472725689411163,
0.2168826162815094,
-0.012068397365510464,
-0.23323258757591248,
0.44506603479385376,
0.30710768699645996,
0.2817721366882324,
0.22357037663459778,
0.1095094084739685,
-0.1401677280664444,
-0.1730019450187683,
-0.22349786758422852,
-0.04635627567768097,
0.08016705513000488,
-0.20201176404953003,
-0.0010114895412698388,
0.4020216166973114,
-0.34331071376800537,
-0.1807057410478592,
-0.22531409561634064,
-0.0533670075237751,
-0.0010704357409849763,
-0.2768154442310333,
0.11281409114599228,
0.13130497932434082,
-0.3100358247756958,
0.06996656209230423,
0.029710793867707253,
0.026648210361599922,
-0.061105478554964066,
0.27800217270851135,
0.010399550199508667,
0.17701537907123566,
0.04772055149078369,
0.4197734296321869,
-0.13973736763000488,
0.0833040326833725,
0.016874702647328377,
0.31802260875701904,
-0.20493727922439575,
-0.01801319420337677,
0.0879959985613823,
0.32789111137390137,
0.06277621537446976,
0.24596007168293,
0.3205837607383728,
0.12034466117620468,
-0.19261616468429565,
-0.015043454244732857,
0.1718025505542755,
-0.1916522979736328,
-0.4136282205581665,
0.012699572369456291,
-0.03840823099017143,
0.08607997000217438,
-0.37970486283302307,
-0.03105136565864086,
-0.12854604423046112,
-0.1348855346441269,
0.3256213665008545,
-0.25858423113822937,
-0.10838176310062408,
-0.07899197190999985,
0.13846126198768616,
0.1661757528781891,
-0.20290355384349823,
0.48555782437324524,
0.23405683040618896,
-0.16686509549617767,
-0.2174423485994339,
-0.4381386935710907,
0.051264770328998566,
0.08014970272779465,
0.17446118593215942,
-0.12456273287534714,
0.06258347630500793,
0.3831974267959595,
0.11679419130086899,
-0.04277163743972778,
-0.06421230733394623,
0.16319985687732697,
0.323292076587677,
-0.3479464054107666,
0.06293880939483643,
0.2859337627887726,
0.4084407091140747,
-0.030207807198166847,
-0.018503136932849884,
-0.07329116761684418,
0.4125908315181732,
0.15054409205913544,
-0.13348494470119476,
-0.24621181190013885,
0.13039027154445648,
0.1272660344839096,
0.35571905970573425,
0.226509228348732,
0.5275251865386963,
-0.22152596712112427,
-0.037972234189510345,
-0.2685338258743286,
-0.22323250770568848,
-0.06925426423549652,
0.1755630373954773,
0.0285445898771286,
0.06362161040306091,
-0.11477115005254745,
-0.31324565410614014,
-0.24616052210330963,
0.20301197469234467,
0.17591361701488495,
0.2730841636657715,
-0.5236436128616333,
0.21069760620594025,
0.0956701785326004,
-0.3745821714401245,
-0.18295758962631226,
0.1459924578666687,
0.041923653334379196,
-0.036862343549728394,
-0.0974668338894844,
-0.05345079302787781,
0.043697141110897064,
-0.17672143876552582,
-0.23924490809440613,
-0.11105199158191681,
0.13255852460861206,
0.3138338327407837,
0.11591622233390808,
-0.36679214239120483,
0.17310629785060883,
0.28740885853767395,
0.22819067537784576,
0.2834445834159851,
-0.026607995852828026,
-0.020219719037413597,
0.03794557601213455,
-0.2808721661567688,
0.3004859387874603,
0.11556500941514969,
0.09651967138051987,
0.1939515322446823,
-0.22160030901432037
] |
https://github.com/huggingface/datasets/issues/222 | Colab Notebook breaks when downloading the squad dataset | The notebook forces version 0.1.0. If I use the latest, things work, I'll run the whole notebook and create a PR.
But in the meantime, this issue gets fixed by changing:
`!pip install nlp==0.1.0`
to
`!pip install nlp` | When I run the notebook in Colab
https://colab.research.google.com/github/huggingface/nlp/blob/master/notebooks/Overview.ipynb
breaks when running this cell:
| 38 | Colab Notebook breaks when downloading the squad dataset
When I run the notebook in Colab
https://colab.research.google.com/github/huggingface/nlp/blob/master/notebooks/Overview.ipynb
breaks when running this cell:
The notebook forces version 0.1.0. If I use the latest, things work, I'll run the whole notebook and create a PR.
But in the meantime, this issue gets fixed by changing:
`!pip install nlp==0.1.0`
to
`!pip install nlp` | [
-0.2037728726863861,
0.1056739091873169,
-0.03363512456417084,
0.06406715512275696,
-0.1007537916302681,
-0.16913969814777374,
0.1365310400724411,
0.10918202251195908,
-0.34509164094924927,
0.12806232273578644,
-0.1643519550561905,
0.5187447667121887,
0.18093840777873993,
0.08213856816291809,
0.16695700585842133,
0.07651351392269135,
0.06449409574270248,
0.4605701267719269,
0.04686928912997246,
0.15668264031410217,
-0.21310822665691376,
0.46249136328697205,
-0.4079592227935791,
0.15370342135429382,
-0.2386358678340912,
-0.16774101555347443,
-0.20612645149230957,
0.2790915071964264,
-0.5138835310935974,
-0.2758502960205078,
0.2979658246040344,
0.1417236477136612,
-0.008439108729362488,
0.181135892868042,
-0.00011696519504766911,
-0.23673918843269348,
0.12079619616270065,
-0.05185142159461975,
-0.3485310673713684,
-0.3542286157608032,
-0.008578303270041943,
-0.4436560571193695,
0.1595696359872818,
-0.3419606387615204,
0.14092938601970673,
0.39214780926704407,
0.3511866331100464,
0.3706689774990082,
0.3492598831653595,
0.3874809443950653,
0.15486425161361694,
0.3137628734111786,
0.2158096879720688,
-0.05447574704885483,
0.1636972576379776,
-0.28066226840019226,
-0.29767879843711853,
0.3243989050388336,
0.5822193622589111,
-0.1685716062784195,
0.0035511699970811605,
0.10590330511331558,
-0.09550755470991135,
0.05590488761663437,
0.12201980501413345,
0.16388826072216034,
-0.2535199224948883,
-0.42911791801452637,
0.2994450628757477,
0.12129367142915726,
0.06077487766742706,
-0.20016886293888092,
-0.018151946365833282,
0.0014587988844141364,
0.2585044205188751,
-0.34449490904808044,
0.21898534893989563,
0.3701309561729431,
-0.3430841863155365,
0.07960135489702225,
0.0347072035074234,
-0.0327628068625927,
-0.21706049144268036,
0.2308540791273117,
0.05665071681141853,
0.3647041618824005,
-0.06477519124746323,
0.0102596590295434,
0.25631603598594666,
0.0780712366104126,
0.22043900191783905,
0.2324579954147339,
-0.1993965208530426,
-0.012577174231410027,
-0.020614471286535263,
-0.19665202498435974,
-0.15251649916172028,
0.3759245276451111,
0.2353895902633667,
-0.35357996821403503,
0.19688540697097778,
-0.06267093867063522,
0.1999603509902954,
0.19693231582641602,
0.023211361840367317,
-0.012032229453325272,
0.35832932591438293,
-0.041698556393384933,
0.39903318881988525,
0.40184152126312256,
-0.02484694868326187,
0.0016649233875796199,
0.04790088161826134,
-0.1774967461824417,
-0.2790907323360443,
-0.12938424944877625,
0.06468912959098816,
-0.18971899151802063,
-0.21751675009727478,
-0.016830136999487877,
-0.1500985473394394,
0.2782168388366699,
0.033172883093357086,
0.1946285516023636,
-0.06817444413900375,
-0.23874127864837646,
0.10871995240449905,
-0.022551873698830605,
-0.36746883392333984,
-0.17430199682712555,
0.0099496366456151,
-0.0019470612751320004,
-0.18764030933380127,
0.10968411713838577,
0.2619291841983795,
0.18368901312351227,
0.47783488035202026,
-0.15345916152000427,
0.09960615634918213,
-0.11781244724988937,
0.052396032959222794,
-0.265323281288147,
-0.10134149342775345,
0.3144093453884125,
0.31551674008369446,
-0.22006887197494507,
-0.2717234194278717,
-0.5757358074188232,
0.04511936753988266,
0.19760005176067352,
-0.032033734023571014,
-0.012889334931969643,
-0.1250273734331131,
0.10841792821884155,
-0.28446757793426514,
-0.07026506960391998,
-0.32433924078941345,
0.054985299706459045,
-0.2155044972896576,
-0.25893187522888184,
0.04896066337823868,
-0.15393143892288208,
-0.2456502914428711,
-0.0019288924522697926,
-0.05847962945699692,
0.18696649372577667,
-0.03239218518137932,
-0.0988168716430664,
0.16054698824882507,
0.008413736708462238,
-0.0025034071877598763,
0.2557321786880493,
-0.14600422978401184,
-0.08713645488023758,
0.06068825721740723,
0.19247420132160187,
0.38259610533714294,
-0.31424084305763245,
-0.7157808542251587,
0.12331607937812805,
-0.07620780169963837,
-0.28646746277809143,
-0.09852341562509537,
0.1813635528087616,
0.4203037619590759,
-0.18550942838191986,
0.07004693150520325,
0.4979853630065918,
-0.17399728298187256,
0.10833067446947098,
-0.2697705328464508,
-0.17382092773914337,
-0.12889860570430756,
0.050152070820331573,
0.11421242356300354,
-0.017191285267472267,
-0.03910699114203453,
0.7044438123703003,
0.16681362688541412,
-0.09890922158956528,
-0.20148754119873047,
0.059921689331531525,
0.3261888325214386,
-0.3010641634464264,
-0.08822111785411835,
-0.14634902775287628,
-0.5062059164047241,
0.010047032497823238,
-0.3460903465747833,
0.21325331926345825,
0.09683506935834885,
-0.21112985908985138,
-0.05918259173631668,
-0.06821393221616745,
-0.012183494865894318,
-0.17810164391994476,
0.10006795078516006,
0.020486848428845406,
0.04886997863650322,
-0.04860610514879227,
0.09019891917705536,
0.39791053533554077,
-0.1955254077911377,
0.4248863458633423,
-0.2051776647567749,
0.18991997838020325,
-0.3483101427555084,
-0.3624226748943329,
0.06926047801971436,
0.3132472336292267,
0.0034315469674766064,
-0.17059659957885742,
-0.10006596893072128,
0.2572607398033142,
0.08105327188968658,
-0.07469108700752258,
0.10122845321893692,
-0.3666817843914032,
0.3960622251033783,
0.060668669641017914,
-0.040356315672397614,
-0.06082799285650253,
0.012146322056651115,
-0.035369791090488434,
-0.02880089171230793,
0.22457733750343323,
-0.18602238595485687,
-0.04142305254936218,
0.1730562448501587,
0.20941908657550812,
0.03926527872681618,
-0.11988618224859238,
-0.20445379614830017,
0.13204503059387207,
0.32316672801971436,
0.23681366443634033,
0.04118005558848381,
0.01091484259814024,
-0.3629995286464691,
0.21057966351509094,
0.49385952949523926,
0.02746618166565895,
0.2480994313955307,
0.01987282745540142,
0.0485268160700798,
0.002645396161824465,
0.3425407409667969,
0.08806036412715912,
0.3751700222492218,
0.1141345351934433,
-0.11013163626194,
-0.0038268642965704203,
-0.1853577345609665,
-0.3078567385673523,
0.13142085075378418,
0.08304600417613983,
0.12990693747997284,
-0.16973982751369476,
0.30302736163139343,
0.014846326783299446,
-0.3646789491176605,
-0.11107052117586136,
-0.07071533054113388,
0.23503388464450836,
0.10903188586235046,
0.30596378445625305,
-0.14340345561504364,
-0.610624372959137,
-0.20321539044380188,
-0.11518248170614243,
-0.1861470639705658,
-0.18630284070968628,
-0.05477512627840042,
0.39906999468803406,
0.39377883076667786,
0.1321960985660553,
0.359119713306427,
0.20930492877960205,
-0.11759864538908005,
0.18299828469753265,
0.17196907103061676,
-0.04389533773064613,
-0.42944610118865967,
0.03136978670954704,
0.38624444603919983,
0.29799824953079224,
0.1085411012172699,
-0.2365487515926361,
-0.249202162027359,
0.015472673811018467,
-0.42980483174324036,
0.2603362798690796,
-0.33625665307044983,
0.2794792056083679,
0.09976360201835632,
0.24782203137874603,
-0.5951433777809143,
-0.10310769081115723,
0.16498945653438568,
-0.11449159681797028,
-0.12290865927934647,
-0.09292823076248169,
-0.036882806569337845,
-0.4055459499359131,
-0.2671477794647217,
-0.20519211888313293,
-0.4359723627567291,
-0.2693944275379181,
0.33582839369773865,
0.01575196348130703,
0.21157871186733246,
0.37397632002830505,
0.09294790029525757,
0.3100525140762329,
0.04953617602586746,
-0.2053631842136383,
0.1208367794752121,
0.03579412400722504,
0.08852697908878326,
-0.25054535269737244,
-0.49854177236557007,
0.09977488964796066,
0.05173466354608536,
0.037645015865564346,
-0.2449919432401657,
-0.4161094129085541,
-0.5225147604942322,
0.12612779438495636,
0.18824434280395508,
-0.0012073491234332323,
-0.07886319607496262,
0.20694324374198914,
-0.1973298341035843,
0.10955783724784851,
-0.01307738572359085,
-0.24611149728298187,
-0.12782561779022217,
0.08309205621480942,
0.3247514069080353,
-0.15073645114898682,
0.10587984323501587,
0.14839668571949005,
0.19341632723808289,
0.3145638704299927,
-0.07250470668077469,
0.11436870694160461,
0.12013480067253113,
0.2739352881908417,
-0.2105095386505127,
-0.3405756950378418,
0.3424797058105469,
0.010134987533092499,
-0.009619178250432014,
0.34545671939849854,
-0.059728506952524185,
-0.5129151940345764,
-0.1813618242740631,
0.10224588960409164,
-0.25864049792289734,
-0.356606662273407,
0.10800483822822571,
0.4365466833114624,
-0.0429641529917717,
0.21928995847702026,
0.17693999409675598,
-0.006432090885937214,
-0.2671232521533966,
-0.3938911557197571,
0.2829701602458954,
-0.23305200040340424,
0.10045378655195236,
0.18663017451763153,
-0.45402929186820984,
-0.6995073556900024,
0.12911401689052582,
0.020111963152885437,
0.297396719455719,
-0.008754974231123924,
0.23194825649261475,
0.13225001096725464,
-0.0280307587236166,
0.2421714961528778,
0.08653072267770767,
-0.12931282818317413,
0.055536653846502304,
0.02404213882982731,
-0.2520790696144104,
0.14389976859092712,
-0.3590138256549835,
0.5358407497406006,
0.8802660703659058,
0.3770967423915863,
-0.16434834897518158,
0.05778162181377411,
0.5292020440101624,
-0.032791152596473694,
0.18958882987499237,
0.10804035514593124,
-0.30443358421325684,
-0.32131001353263855,
-0.14403389394283295,
0.0569625198841095,
-0.04829384759068489,
-0.0072516039945185184,
0.0971345454454422,
-0.10260337591171265,
0.2945190668106079,
-0.13049434125423431,
-0.18037919700145721,
0.49008452892303467,
-0.04314805567264557,
0.0689837783575058,
0.034631360322237015,
-0.20050600171089172,
-0.148512065410614,
0.23588094115257263,
0.27820107340812683,
-0.21470865607261658,
-0.25108450651168823,
0.1910683661699295,
-0.29935526847839355,
0.12639929354190826,
0.5574209690093994,
-0.01270495168864727,
-0.08767660707235336,
-0.14137129485607147,
-0.010357515886425972,
0.37668436765670776,
0.00820449460297823,
0.3475843667984009,
0.13797618448734283,
-0.08299735188484192,
0.15213744342327118,
0.27438995242118835,
-0.010234685614705086,
0.060648851096630096,
-0.1266959309577942,
-0.13302616775035858,
-0.26653531193733215,
0.43179652094841003,
0.03132355958223343,
0.8313065767288208,
-0.19805532693862915,
0.18259085714817047,
0.216595858335495,
0.03458208218216896,
0.7005776762962341,
0.09818413853645325,
0.29737457633018494,
-0.16050338745117188,
-0.2612914741039276,
-0.02691715583205223,
0.03417295590043068,
0.2771373987197876,
0.0035689116921275854,
-0.6976837515830994,
0.3543381690979004,
0.5069895386695862,
-0.06665916740894318,
0.14088737964630127,
0.20467053353786469,
-0.20412826538085938,
-0.3309400975704193,
-0.6929689049720764,
0.14991536736488342,
-0.24720880389213562,
0.2120819091796875,
-0.2318272739648819,
-0.016606898978352547,
-0.22074270248413086,
-0.055851973593235016,
-0.39808860421180725,
0.09784320741891861,
-0.49289411306381226,
-0.149103581905365,
0.3097960650920868,
-0.2716412842273712,
-0.015284676104784012,
0.31808653473854065,
0.2980518043041229,
0.21503795683383942,
-0.04117601364850998,
0.055800847709178925,
-0.009488862007856369,
-0.4288063049316406,
0.06961584091186523,
0.12072650343179703,
0.0707867369055748,
-0.23157912492752075,
-0.011699111200869083,
-0.15616832673549652,
0.19199395179748535,
-0.14730100333690643,
0.37787121534347534,
0.2653465270996094,
0.11379894614219666,
0.15317033231258392,
-0.11881103366613388,
-0.042882852256298065,
-0.1843665987253189,
-0.26054760813713074,
0.10958398133516312,
-0.10283757001161575,
-0.10809288918972015,
0.1768660545349121,
0.1704011708498001,
-0.16747742891311646,
-0.018127845600247383,
0.2444475144147873,
-0.10914622247219086,
0.05315729230642319,
0.21790307760238647,
0.20292866230010986,
-0.04807581752538681,
-0.2186717391014099,
0.16416016221046448,
-0.47109168767929077,
-0.20756664872169495,
0.019297951832413673,
0.0043054916895926,
-0.17338953912258148,
-0.05642080679535866,
0.6419909596443176,
0.2973116338253021,
0.03289369121193886,
-0.12059967964887619,
-0.3671324849128723,
-0.22014698386192322,
0.204116091132164,
0.22043579816818237,
-0.12179027497768402,
0.33465540409088135,
0.33405187726020813,
0.2858063876628876,
0.0965169370174408,
-0.22786809504032135,
0.28883522748947144,
-0.3742843568325043,
0.17683275043964386,
0.03506293520331383,
-0.2467697411775589,
0.16113634407520294,
-0.13581202924251556,
-0.05651438608765602,
0.5478607416152954,
0.06339484453201294,
-0.21986687183380127,
-0.1331758052110672,
0.06871269643306732,
0.11896977573633194,
-0.10746382176876068,
-0.3171968460083008,
-0.06813284754753113,
-0.0985211580991745,
-0.04035235941410065,
0.07765252888202667,
-0.06821112334728241,
0.10933578759431839,
-0.06905275583267212,
0.2667797803878784,
0.2946946918964386,
0.24825841188430786,
0.07181059569120407,
-0.05436825752258301,
0.21100760996341705,
0.12927617132663727,
0.25017687678337097,
0.21401181817054749,
0.03418063744902611,
0.14100219309329987,
-0.00031006732024252415,
-0.07852956652641296,
0.15759477019309998,
0.2667442858219147,
-0.40233513712882996,
0.10853870213031769,
-0.06369985640048981,
-0.04671769216656685,
0.3891511559486389,
0.05957886576652527,
-0.16276578605175018,
0.2553037405014038,
0.07318639010190964,
-0.14528235793113708,
0.06295536458492279,
0.5381837487220764,
0.1647595912218094,
0.07420119643211365,
0.4867258071899414,
0.11547704041004181,
-0.0481448620557785,
0.14421556890010834,
0.10595760494470596,
0.23524418473243713,
0.25333428382873535,
0.011607774533331394,
-0.0835575982928276,
0.013890804722905159,
0.11324302107095718,
0.0884743183851242,
0.05775366351008415,
0.1947413682937622,
0.008706332184374332,
-0.002557041822001338,
0.1844155490398407,
-0.13208450376987457,
0.09944796562194824,
0.29769665002822876,
-0.036573950201272964,
-0.21635518968105316,
0.044106319546699524,
0.27920857071876526,
0.06218254193663597,
0.13555841147899628,
0.8394278883934021,
-0.535256028175354,
-0.25631362199783325,
-0.11296948045492172,
0.1396200954914093,
-0.36160218715667725,
-0.006911978591233492,
-0.3097970485687256,
0.15970878303050995,
-0.13192488253116608,
-0.018767697736620903,
-0.154642254114151,
-0.04683639481663704,
0.30263879895210266,
0.29672548174858093,
-0.1764538735151291,
-0.11941305547952652,
-0.21040664613246918,
0.0963275209069252,
-0.15803036093711853,
-0.04321933165192604,
0.5650871992111206,
-0.461553692817688,
0.15587083995342255,
-0.11572029441595078,
0.5128489136695862,
0.19595342874526978,
0.23445644974708557,
-0.17214412987232208,
-0.1699351668357849,
-0.040043801069259644,
0.021636266261339188,
-0.09688611328601837,
-0.019116709008812904,
0.4978405833244324,
0.2487422525882721,
0.1886567920446396,
0.030080614611506462,
-0.11569540947675705,
0.19563622772693634,
0.15852294862270355,
-0.26282206177711487,
0.05865886062383652,
-0.10240868479013443,
-0.107417032122612,
-0.14664077758789062,
-0.2744995951652527,
-0.04305624961853027,
-0.3473242223262787,
0.5429143905639648,
-0.29940956830978394,
-0.10698141902685165,
0.04497699439525604,
-0.09464602917432785,
0.04844537749886513,
-0.004604424815624952,
0.5350642204284668,
0.40321555733680725,
0.025475937873125076,
-0.21520118415355682,
-0.42776626348495483,
-0.3889569044113159,
0.21612274646759033,
-0.2563641667366028,
0.011096286587417126,
0.05963536724448204,
0.18237698078155518,
-0.10123986750841141,
0.413977712392807,
-0.0789305716753006,
0.041846632957458496,
-0.12649931013584137,
-0.0653214305639267,
-0.47243624925613403,
-0.1160053014755249,
0.28529104590415955,
-0.2760682702064514,
-0.0696646124124527,
-0.22366367280483246,
0.15214872360229492,
-0.20585936307907104,
-0.07175639271736145,
-0.0071328203193843365,
-0.3104133903980255,
-0.29001426696777344,
-0.1044817566871643,
0.07206235080957413,
0.17017768323421478,
0.10107682645320892,
0.019608771428465843,
-0.3210943639278412,
-0.04657581076025963,
-0.22404059767723083,
-0.2719593346118927,
0.07557530701160431,
0.22568345069885254,
0.29754921793937683,
-0.05231276899576187,
0.3451109528541565,
-0.16596171259880066,
0.5020354390144348,
0.10082227736711502,
0.0367015078663826,
-0.012219380587339401,
0.001554313930682838,
-0.12299061566591263,
0.08524483442306519,
-0.14766062796115875,
0.45889899134635925,
-0.27856770157814026,
0.17531083524227142,
-0.4899500608444214,
-0.31665006279945374,
0.38322725892066956,
-0.4803469479084015,
-0.09981098771095276,
0.001730389310978353,
0.20958471298217773,
0.1394142061471939,
-0.30026519298553467,
-0.3976467251777649,
-0.02579435706138611,
-0.1576421856880188,
-0.1750725954771042,
-0.4597724676132202,
0.13977788388729095,
-0.20215091109275818,
0.051265932619571686,
-0.08261678367853165,
0.4182424247264862,
0.07982735335826874,
-0.2558419108390808,
0.015247183851897717,
-0.15567591786384583
] |
https://github.com/huggingface/datasets/issues/222 | Colab Notebook breaks when downloading the squad dataset | When you install `nlp` for the first time on a Colab runtime, it updates the `pyarrow` library that was already on colab. This update shows this message on colab:
```
WARNING: The following packages were previously imported in this runtime:
[pyarrow]
You must restart the runtime in order to use newly installed versions.
```
You just have to restart the runtime and it should be fine.
If you don't restart, then it breaks like in your first message | When I run the notebook in Colab
https://colab.research.google.com/github/huggingface/nlp/blob/master/notebooks/Overview.ipynb
breaks when running this cell:
| 78 | Colab Notebook breaks when downloading the squad dataset
When I run the notebook in Colab
https://colab.research.google.com/github/huggingface/nlp/blob/master/notebooks/Overview.ipynb
breaks when running this cell:
When you install `nlp` for the first time on a Colab runtime, it updates the `pyarrow` library that was already on colab. This update shows this message on colab:
```
WARNING: The following packages were previously imported in this runtime:
[pyarrow]
You must restart the runtime in order to use newly installed versions.
```
You just have to restart the runtime and it should be fine.
If you don't restart, then it breaks like in your first message | [
-0.16229388117790222,
0.288650244474411,
-0.016385361552238464,
0.0890752375125885,
-0.09513921290636063,
-0.13527429103851318,
0.24155989289283752,
0.04239322990179062,
-0.44447314739227295,
0.05577054247260094,
-0.34253883361816406,
0.5006802678108215,
0.19029919803142548,
0.051721375435590744,
0.2317516803741455,
0.12949404120445251,
0.05272120609879494,
0.45624205470085144,
-0.005169594660401344,
0.1515726000070572,
-0.13718967139720917,
0.4322420358657837,
-0.3422400653362274,
0.19298385083675385,
-0.28372883796691895,
-0.20665064454078674,
-0.338755339384079,
0.3366294801235199,
-0.38382747769355774,
-0.36793914437294006,
0.3007683753967285,
0.11652277410030365,
-0.010650957003235817,
0.242111474275589,
-0.00011587276821956038,
-0.2633945643901825,
0.07170131057500839,
0.050973426550626755,
-0.3235515058040619,
-0.1854395866394043,
0.1579292118549347,
-0.276764452457428,
0.3587700128555298,
-0.36968234181404114,
0.23197370767593384,
0.2630355656147003,
0.19682104885578156,
0.4131794273853302,
0.3784221112728119,
0.25509005784988403,
0.15432634949684143,
0.3623243570327759,
0.15149927139282227,
-0.049902793020009995,
0.3280055522918701,
-0.24015401303768158,
-0.24223317205905914,
0.5541875958442688,
0.5191044807434082,
-0.17601603269577026,
-0.06431899964809418,
-0.02365473285317421,
-0.15008224546909332,
0.10818630456924438,
0.09065601974725723,
0.2510839104652405,
-0.30428025126457214,
-0.3595670759677887,
0.14779271185398102,
0.07521253079175949,
0.010056298226118088,
-0.2550983428955078,
0.08777561783790588,
-0.08877317607402802,
0.2548277974128723,
-0.46778053045272827,
0.22016583383083344,
0.2952525019645691,
-0.3333261013031006,
0.04739907756447792,
0.06930729746818542,
-0.09359437972307205,
-0.1557636708021164,
0.18317195773124695,
0.11445876210927963,
0.3580796420574188,
-0.056636981666088104,
0.011706068180501461,
0.257982462644577,
0.11046643555164337,
0.2554868161678314,
0.26135551929473877,
-0.1273597925901413,
-0.12093061208724976,
-0.04816731810569763,
-0.10802503675222397,
-0.11227375268936157,
0.35357746481895447,
0.1700029969215393,
-0.2848016023635864,
0.18919986486434937,
-0.08284584432840347,
0.1804109811782837,
0.18949389457702637,
-0.02586640976369381,
0.011831995099782944,
0.17808897793293,
-0.22734493017196655,
0.4025895893573761,
0.26510098576545715,
-0.1325010061264038,
-0.01960589736700058,
0.06968578696250916,
-0.0828315019607544,
-0.1812393218278885,
-0.20027397572994232,
0.11146128177642822,
-0.1733042597770691,
-0.21198949217796326,
-0.060525644570589066,
-0.21012011170387268,
0.10313393175601959,
0.030671831220388412,
0.22637084126472473,
-0.04862583428621292,
-0.3248872756958008,
-0.008808780461549759,
0.00972329918295145,
-0.3067673146724701,
-0.1658766269683838,
-0.020702529698610306,
-0.01581350527703762,
-0.3158728778362274,
0.29279258847236633,
0.25611117482185364,
0.014170718379318714,
0.4369165897369385,
-0.06674621254205704,
0.11256535351276398,
-0.06156915798783302,
-0.03654184192419052,
-0.2505078613758087,
-0.13767024874687195,
0.19454501569271088,
0.28504177927970886,
-0.13704141974449158,
-0.2746259272098541,
-0.5182225108146667,
-0.029475443065166473,
0.1341782659292221,
-0.09137090295553207,
-0.10038149356842041,
-0.14188021421432495,
0.11342848837375641,
-0.2824956476688385,
-0.0845007672905922,
-0.24448548257350922,
-0.011238967068493366,
-0.2775983214378357,
-0.32704630494117737,
0.06488179415464401,
-0.11334086954593658,
-0.11958078294992447,
-0.17336565256118774,
-0.051390986889600754,
0.2277742475271225,
-0.15503674745559692,
-0.06079227849841118,
0.1266467124223709,
0.08688955754041672,
0.05646294355392456,
0.36917585134506226,
-0.22387829422950745,
0.058817826211452484,
-0.030296456068754196,
0.27381184697151184,
0.47548240423202515,
-0.13133639097213745,
-0.5511142611503601,
0.022248180583119392,
-0.09273975342512131,
-0.22001181542873383,
-0.17768460512161255,
0.18534061312675476,
0.435928076505661,
-0.17135454714298248,
0.12053326517343521,
0.4776642620563507,
-0.1279914379119873,
0.08927565068006516,
-0.25258946418762207,
-0.20198699831962585,
0.02106177993118763,
0.0683601051568985,
0.1030823290348053,
-0.04792466014623642,
0.01084702368825674,
0.6572165489196777,
0.1523803323507309,
-0.12794378399848938,
-0.29248911142349243,
0.012023300863802433,
0.26373133063316345,
-0.15930862724781036,
-0.08615025877952576,
-0.10207698494195938,
-0.4976184070110321,
-0.018914980813860893,
-0.38266417384147644,
0.22172406315803528,
0.11234783381223679,
-0.12611830234527588,
-0.019689487293362617,
-0.029196416959166527,
0.013085149228572845,
-0.10262636095285416,
0.11551812291145325,
0.09121518582105637,
0.03127596154808998,
0.035521961748600006,
0.01103814784437418,
0.3079177439212799,
-0.21081526577472687,
0.40704047679901123,
-0.1642879843711853,
0.339485228061676,
-0.3726192116737366,
-0.45434340834617615,
0.038831572979688644,
0.3175658583641052,
-0.005407249089330435,
-0.1858677864074707,
-0.08476964384317398,
0.3038392663002014,
-0.03310577571392059,
-0.0015203795628622174,
-0.04197312891483307,
-0.21679817140102386,
0.41755712032318115,
-0.03388013690710068,
0.0402371846139431,
-0.15333673357963562,
0.011028697714209557,
-0.11775404959917068,
0.12128852307796478,
0.15278571844100952,
-0.2726379632949829,
-0.04674198850989342,
0.119327113032341,
0.08081535995006561,
0.0008183441823348403,
-0.12340391427278519,
-0.12160493433475494,
0.20139923691749573,
0.2504895031452179,
0.23211480677127838,
0.05561455711722374,
0.003987410105764866,
-0.34483665227890015,
0.16886170208454132,
0.6388939023017883,
0.009611033834517002,
0.19339968264102936,
0.0026634298264980316,
-0.05535617470741272,
-0.09187658131122589,
0.3654562830924988,
-0.1382661908864975,
0.44734662771224976,
0.08536034822463989,
-0.11062626540660858,
0.04611613228917122,
-0.20016132295131683,
-0.3595986068248749,
0.08434499055147171,
0.15042081475257874,
0.33935287594795227,
-0.16112491488456726,
0.3281324803829193,
0.18927942216396332,
-0.4165046513080597,
-0.19667786359786987,
-0.11324004828929901,
0.16031929850578308,
0.0463760606944561,
0.3105352818965912,
-0.2258267104625702,
-0.6363139748573303,
-0.21384714543819427,
-0.22468766570091248,
-0.17365486919879913,
-0.2121385931968689,
-0.06543543934822083,
0.41710540652275085,
0.3795734941959381,
0.10482976585626602,
0.39083635807037354,
0.29194238781929016,
-0.1407936066389084,
0.15146809816360474,
0.07684767991304398,
-0.11653324216604233,
-0.4451967775821686,
0.035596415400505066,
0.4403403103351593,
0.3027222454547882,
0.18668515980243683,
-0.18262286484241486,
-0.14730432629585266,
0.04165108501911163,
-0.47399404644966125,
0.2552632987499237,
-0.28294262290000916,
0.25056612491607666,
0.005636756774038076,
0.2146395444869995,
-0.5915745496749878,
-0.2966303825378418,
0.17837487161159515,
-0.19174470007419586,
-0.06382713466882706,
-0.07141555100679398,
-0.09075440466403961,
-0.36869946122169495,
-0.2321414053440094,
-0.19074231386184692,
-0.3892238736152649,
-0.2519965171813965,
0.30632463097572327,
0.04709045588970184,
0.1246846467256546,
0.34518328309059143,
-0.057847023010253906,
0.4203668534755707,
-0.006661214865744114,
-0.04496514052152634,
0.06837761402130127,
0.03224172443151474,
0.06294324994087219,
-0.2506495714187622,
-0.39018315076828003,
0.08632972836494446,
0.0814005583524704,
0.07147722691297531,
-0.32992270588874817,
-0.44783109426498413,
-0.4516487717628479,
0.10525130480527878,
0.2513573467731476,
0.009098992682993412,
-0.09579433500766754,
0.2081669270992279,
-0.180908203125,
0.05214687064290047,
0.12245649844408035,
-0.35239335894584656,
-0.20721876621246338,
0.15541191399097443,
0.30154314637184143,
-0.15515124797821045,
0.14002054929733276,
-0.03658068925142288,
0.24720655381679535,
0.12030598521232605,
-0.16269680857658386,
0.24349345266819,
0.047038301825523376,
0.2754901349544525,
-0.26920491456985474,
-0.3264657258987427,
0.3509715497493744,
-0.13879068195819855,
-0.0719209536910057,
0.3527228832244873,
-0.1739964485168457,
-0.5435376167297363,
-0.17621362209320068,
0.08835059404373169,
-0.35202929377555847,
-0.35120049118995667,
0.1408773958683014,
0.4890921115875244,
-0.1283901184797287,
0.16154631972312927,
0.10040314495563507,
0.1366296112537384,
-0.31285786628723145,
-0.2801976501941681,
0.146880105137825,
-0.3128332197666168,
0.015015988610684872,
0.08403727412223816,
-0.5422755479812622,
-0.6152955889701843,
0.09041346609592438,
0.02460479363799095,
0.16473153233528137,
0.010636893101036549,
0.16953375935554504,
0.16979213058948517,
-0.07759524881839752,
0.18881633877754211,
0.2393738180398941,
-0.21169398725032806,
0.10137899219989777,
0.10286115854978561,
-0.2493128627538681,
0.004477797541767359,
-0.4466743469238281,
0.4395610988140106,
0.8527015447616577,
0.2162889689207077,
-0.16088302433490753,
0.14705929160118103,
0.49671176075935364,
0.08200792223215103,
0.18961025774478912,
0.13085366785526276,
-0.2746916711330414,
-0.3481544256210327,
-0.20279675722122192,
0.02792227827012539,
-0.20913065969944,
0.03567702695727348,
-0.04792383685708046,
-0.05737583711743355,
0.33631280064582825,
-0.05814103037118912,
-0.11765913665294647,
0.5659457445144653,
-0.05071761831641197,
0.13834697008132935,
-0.03656565770506859,
-0.16751043498516083,
-0.0553867369890213,
0.20562461018562317,
0.31446409225463867,
-0.1491711288690567,
-0.11714614182710648,
0.2581256330013275,
-0.17916445434093475,
0.1546858847141266,
0.5725124478340149,
0.03370540216565132,
-0.015727074816823006,
-0.25497835874557495,
-0.027279751375317574,
0.3534434139728546,
0.038461118936538696,
0.39194387197494507,
0.024101948365569115,
-0.09691433608531952,
0.22327563166618347,
0.36032676696777344,
0.006347659509629011,
0.005739286541938782,
-0.05591950565576553,
-0.1315789520740509,
-0.16340439021587372,
0.5269415974617004,
0.09646090120077133,
0.9199802875518799,
-0.1351892203092575,
0.23280107975006104,
0.39558592438697815,
0.005457806866616011,
0.8213491439819336,
0.036442551761865616,
0.29021504521369934,
-0.22001081705093384,
-0.10888057202100754,
0.03861979767680168,
-0.027458952739834785,
0.14550721645355225,
-0.15644876658916473,
-0.6769128441810608,
0.24205642938613892,
0.45106393098831177,
0.08140242844820023,
0.05928398296236992,
0.22673897445201874,
-0.04052628576755524,
-0.279349148273468,
-0.6700126528739929,
0.16516225039958954,
-0.23910804092884064,
0.25718119740486145,
-0.31535476446151733,
0.006178461946547031,
-0.12149997055530548,
-0.019443398341536522,
-0.41948917508125305,
0.1596047580242157,
-0.3940165340900421,
-0.10973135381937027,
0.25963592529296875,
-0.24909469485282898,
-0.003666806733235717,
0.19052797555923462,
0.3236684501171112,
0.18673281371593475,
-0.035921741276979446,
-0.027197666466236115,
-0.07232914865016937,
-0.34440332651138306,
0.13889990746974945,
0.07803338021039963,
0.13850174844264984,
-0.23670165240764618,
-0.08687042444944382,
0.028654184192419052,
0.240557461977005,
-0.1788833737373352,
0.2510046362876892,
0.2675101161003113,
0.09652291983366013,
0.038775768131017685,
0.02177240699529648,
0.04931182786822319,
-0.12440291792154312,
-0.25639116764068604,
0.08975756168365479,
-0.10483017563819885,
-0.046367671340703964,
0.2597413957118988,
0.1653759777545929,
-0.15297961235046387,
-0.09329468756914139,
0.16011503338813782,
-0.12814654409885406,
0.09165698289871216,
0.18983635306358337,
0.261301726102829,
-0.07720876485109329,
-0.17520982027053833,
0.04547451436519623,
-0.5221540927886963,
-0.3000229299068451,
-0.07522933185100555,
0.026011241599917412,
-0.05449257045984268,
0.07419297844171524,
0.6213568449020386,
0.3452061116695404,
0.13891078531742096,
-0.09827134758234024,
-0.3008250296115875,
-0.13825076818466187,
0.22200581431388855,
0.3104008734226227,
-0.10538150370121002,
0.43308305740356445,
0.42102181911468506,
0.23336516320705414,
0.17018412053585052,
-0.23408561944961548,
0.3082623779773712,
-0.34559938311576843,
0.1343727558851242,
-0.04723036661744118,
-0.27821439504623413,
0.18948988616466522,
-0.06866831332445145,
-0.050933126360177994,
0.5490370988845825,
0.1302432417869568,
-0.1948457807302475,
-0.05549868941307068,
0.06485958397388458,
0.08955344557762146,
-0.10635147988796234,
-0.3555722236633301,
-0.08047781139612198,
0.0717417299747467,
0.007463438436388969,
0.11996138095855713,
-0.1320907026529312,
0.1513807475566864,
-0.0682617723941803,
0.3728257417678833,
0.24534714221954346,
0.13897696137428284,
0.11990634351968765,
0.018168259412050247,
0.23148885369300842,
0.164936825633049,
0.2641076147556305,
0.1112995371222496,
-0.00837633851915598,
0.10891076177358627,
0.01216722559183836,
-0.044086556881666183,
0.06559478491544724,
0.19642257690429688,
-0.3878045380115509,
0.07796381413936615,
-0.2351732850074768,
-0.03739141300320625,
0.48941361904144287,
0.13260631263256073,
-0.18248459696769714,
0.24811656773090363,
0.06972337514162064,
-0.11593460291624069,
0.022276416420936584,
0.448589026927948,
0.1829523742198944,
-0.019730819389224052,
0.4950132668018341,
0.1573646366596222,
-0.003335085231810808,
0.126298725605011,
0.04812293499708176,
0.2687559127807617,
0.36889493465423584,
0.00048571894876658916,
-0.06775577366352081,
-0.06217401474714279,
0.03523796796798706,
0.17615684866905212,
0.06021834909915924,
0.1521511822938919,
-0.06740184128284454,
-0.12788811326026917,
0.15209031105041504,
-0.28901150822639465,
0.06382237374782562,
0.30662307143211365,
-0.05420028790831566,
-0.25578412413597107,
0.1104951724410057,
0.37385624647140503,
-0.02909010462462902,
0.08440849184989929,
0.8333593010902405,
-0.3544100224971771,
-0.320932537317276,
-0.10203983634710312,
0.2567324638366699,
-0.34500885009765625,
0.09901536256074905,
-0.2724238336086273,
0.103946752846241,
-0.083628349006176,
0.08783449977636337,
-0.17857900261878967,
-0.13201075792312622,
0.3258434534072876,
0.2735811471939087,
-0.2538753151893616,
-0.1599980890750885,
-0.16739647090435028,
0.05449562519788742,
-0.1816900223493576,
0.07494228333234787,
0.5572718381881714,
-0.33135437965393066,
0.09935491532087326,
-0.2330409735441208,
0.5280357599258423,
0.289602667093277,
0.20487409830093384,
-0.1909986138343811,
-0.1523386687040329,
-0.040742795914411545,
0.045050814747810364,
-0.014735683798789978,
-0.06881915777921677,
0.49519580602645874,
0.10088562965393066,
0.1896582394838333,
0.04977743327617645,
-0.13975879549980164,
0.28492435812950134,
0.13173885643482208,
-0.21514587104320526,
0.037305768579244614,
-0.10045892745256424,
0.00375389470718801,
-0.17565642297267914,
-0.30538445711135864,
-0.0506778284907341,
-0.3146499693393707,
0.5148186087608337,
-0.14559194445610046,
-0.11733570694923401,
-0.04240399971604347,
-0.1393558830022812,
0.05286143347620964,
0.0952523797750473,
0.6466189622879028,
0.5057281255722046,
0.15907450020313263,
-0.1942807137966156,
-0.45061254501342773,
-0.4104742407798767,
0.26898157596588135,
-0.30991464853286743,
0.11366542428731918,
0.05045677721500397,
0.192466601729393,
-0.16570279002189636,
0.47900041937828064,
-0.026662949472665787,
0.1169876754283905,
-0.24810971319675446,
-0.1550626903772354,
-0.5336962938308716,
-0.015051491558551788,
0.11213742196559906,
-0.3295290172100067,
-0.16424046456813812,
-0.04330587759613991,
0.21823424100875854,
-0.342174232006073,
-0.07783357799053192,
-0.06188115477561951,
-0.3067428767681122,
-0.2668483555316925,
-0.0754532441496849,
0.25476428866386414,
0.10352242738008499,
0.13317273557186127,
0.07666145265102386,
-0.31117329001426697,
0.02930278889834881,
-0.38363730907440186,
-0.14511217176914215,
0.04734329879283905,
0.1732354611158371,
0.19779276847839355,
0.0003893404791597277,
0.36838871240615845,
-0.19359782338142395,
0.5045951008796692,
0.09660834074020386,
0.06460680812597275,
-0.0029810687992721796,
-0.09048990160226822,
-0.07207760214805603,
0.08612105995416641,
-0.08781018853187561,
0.42042768001556396,
-0.239137202501297,
0.25775447487831116,
-0.5476999878883362,
-0.2630959749221802,
0.4129124581813812,
-0.45274871587753296,
-0.04186322167515755,
-0.004355814307928085,
0.1946285367012024,
0.11911741644144058,
-0.1933596134185791,
-0.4065580666065216,
-0.09077273309230804,
-0.10226752609014511,
-0.1282307356595993,
-0.4465615451335907,
0.18074031174182892,
-0.12650586664676666,
-0.009618858806788921,
-0.11334388703107834,
0.2060467004776001,
0.0443296954035759,
-0.2754810154438019,
-0.07351337373256683,
-0.18137361109256744
] |
https://github.com/huggingface/datasets/issues/222 | Colab Notebook breaks when downloading the squad dataset | Thanks for reporting the second one ! We'll update the notebook to fix this one :) | When I run the notebook in Colab
https://colab.research.google.com/github/huggingface/nlp/blob/master/notebooks/Overview.ipynb
breaks when running this cell:
| 16 | Colab Notebook breaks when downloading the squad dataset
When I run the notebook in Colab
https://colab.research.google.com/github/huggingface/nlp/blob/master/notebooks/Overview.ipynb
breaks when running this cell:
Thanks for reporting the second one ! We'll update the notebook to fix this one :) | [
-0.20812645554542542,
0.08529706299304962,
-0.0881832093000412,
0.16447612643241882,
-0.02311563305556774,
-0.10333478450775146,
0.3287060260772705,
0.08260199427604675,
-0.3126959502696991,
0.21142807602882385,
-0.39940711855888367,
0.3362332880496979,
0.2900560796260834,
0.16409459710121155,
0.1548372507095337,
0.16451476514339447,
0.09830828756093979,
0.37275925278663635,
-0.06697428226470947,
0.14713570475578308,
-0.2285151332616806,
0.45175933837890625,
-0.36850640177726746,
0.06003290042281151,
-0.2734021842479706,
-0.20931944251060486,
-0.2376537173986435,
0.2732951045036316,
-0.42369070649147034,
-0.21809439361095428,
0.28793662786483765,
0.18390311300754547,
-0.11174608021974564,
0.25990378856658936,
-0.00011433532927185297,
-0.24122992157936096,
-0.02032240480184555,
-0.06533642113208771,
-0.3073406517505646,
-0.16067147254943848,
-0.0806206613779068,
-0.23325729370117188,
0.22001750767230988,
-0.4098556935787201,
0.13190816342830658,
0.41221585869789124,
0.22275245189666748,
0.2862115800380707,
0.29398587346076965,
0.2952936589717865,
0.1804482638835907,
0.40403494238853455,
0.1271446943283081,
-0.1776515394449234,
0.3254966139793396,
-0.2722633183002472,
-0.24315351247787476,
0.4100196361541748,
0.62740558385849,
-0.08831368386745453,
-0.06562738120555878,
0.13427621126174927,
-0.12808893620967865,
0.12494787573814392,
0.0890844389796257,
0.247712180018425,
-0.28943362832069397,
-0.4838736951351166,
0.3436744809150696,
0.1162116751074791,
0.1510484665632248,
-0.12315115332603455,
0.05892585963010788,
0.05899565666913986,
0.17138387262821198,
-0.2932756245136261,
0.26158586144447327,
0.3350566327571869,
-0.2227061539888382,
0.13434632122516632,
0.0062896632589399815,
0.08987358212471008,
-0.1818213015794754,
0.13155514001846313,
-0.027880113571882248,
0.16018423438072205,
-0.14802993834018707,
-0.0957624614238739,
0.22563086450099945,
0.011602974496781826,
0.24657776951789856,
0.09906629472970963,
-0.16215696930885315,
-0.09483583271503448,
-0.10899645835161209,
-0.24236777424812317,
-0.2443491518497467,
0.24999375641345978,
0.2372865527868271,
-0.2415652871131897,
0.3187464475631714,
-0.029161114245653152,
0.24501091241836548,
0.1847769170999527,
-0.031999148428440094,
-0.14745502173900604,
0.25958141684532166,
-0.10221584886312485,
0.424021452665329,
0.4162791669368744,
-0.188274547457695,
-0.09184856712818146,
-0.024418745189905167,
-0.17938989400863647,
-0.2249310165643692,
-0.09151216596364975,
0.04073415696620941,
-0.240535169839859,
-0.2889058589935303,
0.07782135903835297,
-0.13684917986392975,
0.2789805233478546,
0.06914211809635162,
0.24263975024223328,
-0.0014099458931013942,
-0.4101408123970032,
0.03285670280456543,
-0.010167072527110577,
-0.269529789686203,
-0.22026406228542328,
-0.030173251405358315,
-0.09110955893993378,
-0.16445393860340118,
0.2610430419445038,
0.24966926872730255,
0.1362549066543579,
0.5002054572105408,
-0.0945059061050415,
0.2376812994480133,
-0.20367708802223206,
0.03617650642991066,
-0.42523878812789917,
-0.09555714577436447,
0.35759806632995605,
0.3498214781284332,
-0.20395493507385254,
-0.22149436175823212,
-0.5597004294395447,
0.10842265188694,
0.07068196684122086,
-0.03556067496538162,
-0.022770734503865242,
-0.037244897335767746,
0.15114104747772217,
-0.20522868633270264,
0.02430853061378002,
-0.31279516220092773,
0.04790053516626358,
-0.28003236651420593,
-0.14217375218868256,
0.013601941987872124,
-0.03400660678744316,
-0.21538719534873962,
-0.031970128417015076,
-0.016684800386428833,
0.2605360746383667,
-0.10019432753324509,
0.00802699662744999,
0.20574188232421875,
-0.04609893262386322,
-0.04037706181406975,
0.3128235936164856,
-0.15650904178619385,
-0.009524085558950901,
-0.010018914006650448,
0.2053341418504715,
0.3080557882785797,
-0.25814899802207947,
-0.7119438052177429,
0.05824512243270874,
0.005247133318334818,
-0.26256227493286133,
-0.13132742047309875,
0.23769648373126984,
0.5601803064346313,
-0.19879060983657837,
0.11458522826433182,
0.463533878326416,
-0.18903332948684692,
0.0986376628279686,
-0.1500820815563202,
-0.15123161673545837,
-0.12750139832496643,
0.12364066392183304,
0.2079048752784729,
-0.006193924695253372,
0.07666529715061188,
0.5572873950004578,
0.16624747216701508,
-0.12651027739048004,
-0.3530397415161133,
0.07210400700569153,
0.2784351110458374,
-0.3214610517024994,
-0.09803232550621033,
-0.10858321934938431,
-0.564651608467102,
0.0625721663236618,
-0.2864466905593872,
0.08351272344589233,
0.13649076223373413,
-0.23094579577445984,
-0.05809482932090759,
-0.06265661865472794,
-0.07724513113498688,
-0.03654155880212784,
0.13375908136367798,
-0.09502655267715454,
-0.03345930948853493,
0.02000843733549118,
0.11398904025554657,
0.34533587098121643,
-0.2902797758579254,
0.5099155902862549,
0.008631368167698383,
0.32485419511795044,
-0.2755908966064453,
-0.3000109791755676,
0.13371913135051727,
0.09635943174362183,
0.08106745034456253,
-0.1677868515253067,
-0.14541833102703094,
0.29110413789749146,
0.19663825631141663,
0.03105844184756279,
0.14562585949897766,
-0.2731461226940155,
0.4598880112171173,
0.0589737594127655,
-0.035778433084487915,
-0.13375787436962128,
0.08443685621023178,
-0.19134971499443054,
-0.0462985523045063,
0.2320578247308731,
-0.2428794652223587,
-0.04818783327937126,
0.11958283931016922,
0.18583989143371582,
0.04129072278738022,
-0.13352665305137634,
-0.15656760334968567,
0.09857837855815887,
0.23880967497825623,
0.20704007148742676,
-0.0013626334257423878,
-0.043376024812459946,
-0.34334415197372437,
0.19563604891300201,
0.46204379200935364,
-0.005481822416186333,
0.20487989485263824,
-0.06295570731163025,
-0.06925434619188309,
0.0003484062326606363,
0.4217231273651123,
0.04121619090437889,
0.4216999113559723,
0.08651922643184662,
-0.09068899601697922,
0.0007989125442691147,
-0.034902870655059814,
-0.3570866882801056,
0.16904474794864655,
0.14286892116069794,
0.21061287820339203,
-0.1635545939207077,
0.2298244833946228,
-0.036555781960487366,
-0.3995288610458374,
-0.10759498924016953,
-0.08823610842227936,
0.13155031204223633,
0.134910449385643,
0.32000789046287537,
-0.11699051409959793,
-0.5118405222892761,
-0.07171627879142761,
-0.18816889822483063,
-0.09109179675579071,
-0.2565028965473175,
-0.04709171503782272,
0.5061331987380981,
0.3253307342529297,
0.013788546435534954,
0.34854307770729065,
0.34163376688957214,
-0.0021225805394351482,
0.3129972815513611,
0.11849908530712128,
-0.04346577450633049,
-0.28942444920539856,
0.07920368015766144,
0.4227302074432373,
0.24148355424404144,
0.21288242936134338,
-0.3029240071773529,
-0.15140984952449799,
-0.14659254252910614,
-0.2868509888648987,
0.29411792755126953,
-0.19982601702213287,
0.2345810979604721,
-0.023697806522250175,
0.19926971197128296,
-0.5368195176124573,
-0.12628576159477234,
0.1590670794248581,
-0.010400688275694847,
-0.08413945138454437,
-0.052356019616127014,
-0.016661860048770905,
-0.44588083028793335,
-0.20343199372291565,
-0.17404311895370483,
-0.39175131916999817,
-0.24149514734745026,
0.1878700703382492,
-0.11721895635128021,
0.1827535480260849,
0.23959913849830627,
0.06552764773368835,
0.40171757340431213,
-0.03590831533074379,
-0.24859145283699036,
0.01844647154211998,
-0.12903641164302826,
0.20763593912124634,
-0.32397714257240295,
-0.5115101337432861,
0.10641656070947647,
0.1879417598247528,
0.003200552426278591,
-0.269090861082077,
-0.43559908866882324,
-0.37786343693733215,
0.04990605264902115,
0.11913418024778366,
0.023840611800551414,
-0.2214810848236084,
0.005934615153819323,
-0.262151300907135,
0.04465436190366745,
-0.010199661366641521,
-0.27398860454559326,
-0.11105107516050339,
0.07669281959533691,
0.3078038692474365,
-0.19712676107883453,
0.11028679460287094,
0.031528323888778687,
0.25294429063796997,
0.3045099973678589,
-0.11898044496774673,
0.18053847551345825,
0.1001780554652214,
0.21791480481624603,
-0.2815535366535187,
-0.4495451748371124,
0.33795133233070374,
-0.16195085644721985,
-0.06860939413309097,
0.3591623902320862,
-0.09100767970085144,
-0.5044241547584534,
-0.17165987193584442,
0.07266765832901001,
-0.26782119274139404,
-0.42276066541671753,
0.0708649754524231,
0.44430264830589294,
-0.14769385755062103,
0.11258655786514282,
0.21931618452072144,
0.019851617515087128,
-0.22919775545597076,
-0.3125333786010742,
0.3360981345176697,
-0.2867804765701294,
0.0014976866077631712,
0.15573765337467194,
-0.4171317219734192,
-0.6907586455345154,
0.16188770532608032,
-0.05036431550979614,
0.11516404896974564,
-0.11067402362823486,
0.2906992435455322,
0.10505291819572449,
0.03925468772649765,
0.3141641616821289,
0.1167532429099083,
-0.15859462320804596,
0.043577902019023895,
-0.0749518871307373,
-0.19444702565670013,
0.03445063903927803,
-0.4641059339046478,
0.5842936038970947,
0.7916568517684937,
0.39100465178489685,
-0.04272050783038139,
0.14425745606422424,
0.5085098743438721,
-0.03295798599720001,
0.15193398296833038,
0.08288562297821045,
-0.1406870186328888,
-0.3030998110771179,
-0.12402430921792984,
0.05947885662317276,
-0.027399616315960884,
-0.06065034493803978,
0.03376628831028938,
-0.20056161284446716,
0.30888572335243225,
-0.07161439210176468,
-0.02678716741502285,
0.5213574171066284,
-0.019524168223142624,
0.08624453842639923,
0.10341482609510422,
-0.10577677190303802,
-0.11154305189847946,
0.4208716154098511,
0.3046403229236603,
-0.20926716923713684,
-0.26748088002204895,
0.2845481038093567,
-0.49008163809776306,
0.09635606408119202,
0.5848206877708435,
-0.010691383853554726,
-0.031013529747724533,
-0.173979252576828,
0.005066107027232647,
0.3778679668903351,
0.05310966074466705,
0.40148675441741943,
0.1770641803741455,
-0.02953946217894554,
0.1776052564382553,
0.257417768239975,
-0.09426901489496231,
0.018869956955313683,
0.014036518521606922,
-0.14121687412261963,
-0.23207958042621613,
0.4488869309425354,
0.07712177187204361,
0.8232890367507935,
-0.15118750929832458,
0.06643517315387726,
0.17773118615150452,
0.005394114181399345,
0.5558367371559143,
-0.015880292281508446,
0.22724485397338867,
-0.13967911899089813,
-0.4450143277645111,
-0.022555632516741753,
-0.10461302846670151,
0.28905540704727173,
-0.02663286216557026,
-0.7058285474777222,
0.21495872735977173,
0.26579418778419495,
0.152628093957901,
0.020415710285305977,
0.05576921999454498,
-0.14507761597633362,
-0.2428600937128067,
-0.5719939470291138,
0.2210027426481247,
-0.1751994639635086,
0.23505178093910217,
-0.28548693656921387,
0.030615437775850296,
-0.2551967203617096,
0.04343552514910698,
-0.4520660638809204,
0.0669051930308342,
-0.48229414224624634,
0.01302406843751669,
0.1449773907661438,
-0.2509017288684845,
0.0438167080283165,
0.3447951376438141,
0.387530118227005,
0.17426331341266632,
-0.04343319684267044,
-0.01864875666797161,
-0.03557238727807999,
-0.30340930819511414,
-0.06309951096773148,
-0.016941864043474197,
0.005116539541631937,
-0.2645793557167053,
-0.06806758791208267,
-0.07059979438781738,
0.30341148376464844,
-0.149382084608078,
0.35796964168548584,
0.17621520161628723,
0.12822259962558746,
-0.0667857676744461,
-0.05379918962717056,
-0.11600887775421143,
-0.17481020092964172,
-0.2913317084312439,
0.13214072585105896,
-0.12050139904022217,
-0.005069730803370476,
0.29780760407447815,
0.18357300758361816,
-0.12276756018400192,
-0.03555604815483093,
0.29132315516471863,
-0.2046392858028412,
0.10926849395036697,
0.2187437266111374,
0.257244348526001,
-0.12845048308372498,
-0.28012746572494507,
0.3003308176994324,
-0.49323758482933044,
-0.17429210245609283,
0.11607957631349564,
-0.17402034997940063,
-0.12756571173667908,
-0.1307649314403534,
0.640363335609436,
0.4149587154388428,
-0.010212292894721031,
-0.06361141055822372,
-0.36319300532341003,
-0.20702525973320007,
0.20271000266075134,
0.2500632107257843,
0.025946613401174545,
0.22087998688220978,
0.19487746059894562,
0.21906648576259613,
0.06693252176046371,
-0.2703333795070648,
0.3732132017612457,
-0.4460934102535248,
0.05523935705423355,
-0.03002094104886055,
-0.2469731718301773,
0.23904557526111603,
-0.1518963873386383,
-0.033737555146217346,
0.5021684765815735,
0.06566688418388367,
-0.2611507773399353,
-0.06452959030866623,
0.06806589663028717,
0.008530630730092525,
-0.12818129360675812,
-0.26094186305999756,
0.004728295374661684,
-0.030353548005223274,
-0.06656641513109207,
0.1719762682914734,
-0.05886862426996231,
0.27002182602882385,
-0.12606291472911835,
0.33104458451271057,
0.20877602696418762,
0.15549905598163605,
0.08469528704881668,
0.013366960920393467,
0.20232300460338593,
0.12882868945598602,
0.1213655173778534,
0.15800145268440247,
-0.07078959047794342,
0.2570587694644928,
0.024878190830349922,
-0.0761776939034462,
-0.00784143153578043,
0.3335093557834625,
-0.33863362669944763,
0.15942133963108063,
0.0026587408501654863,
-0.1664644181728363,
0.35182270407676697,
-0.012282634153962135,
-0.12231257557868958,
0.1025400385260582,
0.13919833302497864,
-0.10381652414798737,
-0.05152597650885582,
0.5680354833602905,
0.20062652230262756,
0.030121691524982452,
0.5001781582832336,
0.0856856182217598,
-0.040030963718891144,
0.21090205013751984,
0.04401477053761482,
0.31992045044898987,
0.4771459102630615,
0.07485100626945496,
-0.11321007460355759,
0.02573900856077671,
0.23483602702617645,
0.119077168405056,
0.05644070729613304,
0.16241006553173065,
-0.045043546706438065,
-0.05026019364595413,
0.1110038161277771,
-0.17792028188705444,
0.08935945481061935,
0.4992899000644684,
-0.10340747237205505,
-0.2284979522228241,
0.042943719774484634,
0.10159790515899658,
0.027173789218068123,
0.12443218380212784,
0.7389979362487793,
-0.4879820644855499,
-0.2675541937351227,
-0.19579735398292542,
0.14382757246494293,
-0.42155125737190247,
0.08674067258834839,
-0.31011196970939636,
0.06441112607717514,
-0.09468219429254532,
-0.001960538327693939,
-0.1672723889350891,
-0.057342562824487686,
0.39590680599212646,
0.2621210515499115,
-0.19068565964698792,
0.03612079471349716,
-0.1225869357585907,
0.10783549398183823,
-0.1399857997894287,
-0.012021173723042011,
0.4424280524253845,
-0.30636051297187805,
0.26280564069747925,
0.01434061024338007,
0.607215940952301,
0.18633602559566498,
0.20774558186531067,
-0.10181638598442078,
-0.2245774120092392,
0.06042488291859627,
-0.08757278323173523,
0.012050090357661247,
-0.055068276822566986,
0.44311821460723877,
0.08779612183570862,
0.26833054423332214,
0.08101984113454819,
-0.1402062326669693,
0.2214479297399521,
0.12705087661743164,
-0.18602342903614044,
0.03443298488855362,
-0.29817211627960205,
-0.09205471724271774,
-0.14600889384746552,
-0.2923966646194458,
-0.17628195881843567,
-0.3040124773979187,
0.46308040618896484,
-0.23748058080673218,
-0.15882515907287598,
0.09287690371274948,
0.026172177866101265,
0.07179015129804611,
0.00036960927536711097,
0.5908599495887756,
0.32058534026145935,
-0.0013036095770075917,
-0.2988019287586212,
-0.505959153175354,
-0.3325136601924896,
0.19119028747081757,
-0.16133596003055573,
0.13938631117343903,
0.0850100889801979,
0.18678312003612518,
-0.023113863542675972,
0.45860812067985535,
0.16402588784694672,
-0.08083473891019821,
-0.21005991101264954,
-0.06280995160341263,
-0.5517159104347229,
-0.13538356125354767,
0.2651447355747223,
-0.2606634199619293,
-0.16066469252109528,
-0.16178712248802185,
0.2897636890411377,
-0.15786424279212952,
0.008336832746863365,
-0.04479416087269783,
-0.2731548547744751,
-0.3319765031337738,
-0.24862343072891235,
0.15242038667201996,
0.12959279119968414,
0.1229705810546875,
0.007585069164633751,
-0.333141952753067,
0.12094756960868835,
-0.28892117738723755,
-0.1068279892206192,
0.011426792480051517,
0.21625438332557678,
0.25030094385147095,
0.028534671291708946,
0.26356276869773865,
-0.09871052950620651,
0.49516594409942627,
0.15883544087409973,
0.02855929546058178,
-0.16628432273864746,
-0.08736907690763474,
-0.07266167551279068,
0.059975843876600266,
-0.04567224904894829,
0.40819424390792847,
-0.3233315944671631,
0.2676670253276825,
-0.40840721130371094,
-0.27963095903396606,
0.3924647569656372,
-0.3721633851528168,
-0.07345762848854065,
-0.017433730885386467,
0.21171969175338745,
0.1328282356262207,
-0.13608190417289734,
-0.3291107714176178,
-0.07494794577360153,
-0.1162363588809967,
-0.290026992559433,
-0.45486053824424744,
0.26036718487739563,
-0.07690273970365524,
0.06409204751253128,
-0.10680948942899704,
0.3408884108066559,
0.12940163910388947,
-0.2829599678516388,
-0.16729772090911865,
-0.21795837581157684
] |
https://github.com/huggingface/datasets/issues/222 | Colab Notebook breaks when downloading the squad dataset | This trick from @thomwolf seems to be the most reliable solution to fix this colab notebook issue:
```python
# install nlp
!pip install -qq nlp==0.2.0
# Make sure that we have a recent version of pyarrow in the session before we continue - otherwise reboot Colab to activate it
import pyarrow
if int(pyarrow.__version__.split('.')[1]) < 16:
import os
os.kill(os.getpid(), 9)
``` | When I run the notebook in Colab
https://colab.research.google.com/github/huggingface/nlp/blob/master/notebooks/Overview.ipynb
breaks when running this cell:
| 60 | Colab Notebook breaks when downloading the squad dataset
When I run the notebook in Colab
https://colab.research.google.com/github/huggingface/nlp/blob/master/notebooks/Overview.ipynb
breaks when running this cell:
This trick from @thomwolf seems to be the most reliable solution to fix this colab notebook issue:
```python
# install nlp
!pip install -qq nlp==0.2.0
# Make sure that we have a recent version of pyarrow in the session before we continue - otherwise reboot Colab to activate it
import pyarrow
if int(pyarrow.__version__.split('.')[1]) < 16:
import os
os.kill(os.getpid(), 9)
``` | [
-0.21085861325263977,
0.31306004524230957,
-0.049380555748939514,
0.03972147777676582,
-0.08726848661899567,
-0.18556547164916992,
0.2631244361400604,
0.15955470502376556,
-0.4475891888141632,
0.10873615741729736,
-0.36074137687683105,
0.5732998847961426,
0.19588497281074524,
0.08197644352912903,
0.17324349284172058,
0.19502787292003632,
-0.008885027840733528,
0.39630353450775146,
-0.0574667751789093,
0.1644325852394104,
-0.2231677919626236,
0.34456774592399597,
-0.3933258354663849,
0.10321398824453354,
-0.22195515036582947,
-0.19702434539794922,
-0.15914255380630493,
0.29760849475860596,
-0.3919450044631958,
-0.21676313877105713,
0.27606290578842163,
0.171592578291893,
-0.05999332666397095,
0.17929427325725555,
-0.00011473387712612748,
-0.20161810517311096,
-0.030263392254710197,
-0.07803525030612946,
-0.37296247482299805,
-0.23220141232013702,
0.0352734811604023,
-0.33603212237358093,
0.3040676414966583,
-0.4480278491973877,
0.13219597935676575,
0.457571804523468,
0.28862401843070984,
0.35761648416519165,
0.2969406843185425,
0.27599769830703735,
0.1642182320356369,
0.3264269530773163,
0.13450834155082703,
0.0051154508255422115,
0.23249927163124084,
-0.253113329410553,
-0.2693358063697815,
0.42635276913642883,
0.5949574112892151,
-0.2634858787059784,
-0.13266980648040771,
0.10558602958917618,
-0.16910985112190247,
0.15007245540618896,
0.11090785264968872,
0.22836945950984955,
-0.3441576063632965,
-0.4259018301963806,
0.22296011447906494,
0.060684092342853546,
0.02652840130031109,
-0.2624766528606415,
0.05482767894864082,
0.00587764848023653,
0.2763140797615051,
-0.30670446157455444,
0.1578662097454071,
0.35337406396865845,
-0.37504372000694275,
0.11998128890991211,
0.024275969713926315,
0.03381447121500969,
-0.19935056567192078,
0.18583522737026215,
0.05883850157260895,
0.34322941303253174,
-0.024360867217183113,
-0.013874880969524384,
0.21716885268688202,
0.08212471753358841,
0.34461045265197754,
0.21561779081821442,
-0.03924629092216492,
-0.00300064985640347,
-0.1363028585910797,
-0.2019573450088501,
-0.1412385106086731,
0.23442406952381134,
0.23353025317192078,
-0.32346588373184204,
0.28888341784477234,
0.006386871449649334,
0.291126012802124,
0.19484837353229523,
-0.058985672891139984,
-0.11289190500974655,
0.21247808635234833,
-0.1368216872215271,
0.3969639539718628,
0.3778131902217865,
-0.10544412583112717,
0.0028237695805728436,
-0.044340550899505615,
-0.1690577268600464,
-0.1508910208940506,
-0.10000840574502945,
0.12246556580066681,
-0.17493809759616852,
-0.28056758642196655,
0.023782242089509964,
-0.2251797765493393,
0.2988462746143341,
0.04263237118721008,
0.24172692000865936,
-0.06156959384679794,
-0.37630075216293335,
0.06695275008678436,
-0.025022301822900772,
-0.342669278383255,
-0.20411615073680878,
-0.002302370499819517,
-0.019037814810872078,
-0.16797620058059692,
0.09720977395772934,
0.3000754117965698,
0.16170348227024078,
0.40994635224342346,
-0.11885719001293182,
0.17195625603199005,
-0.10903291404247284,
0.03236806392669678,
-0.29709795117378235,
-0.09300390630960464,
0.2763929069042206,
0.38804471492767334,
-0.24145789444446564,
-0.22902123630046844,
-0.5571026802062988,
0.04567011818289757,
0.16808415949344635,
-0.01252466905862093,
-0.00839775800704956,
-0.1567080169916153,
0.14246954023838043,
-0.27026307582855225,
-0.048106614500284195,
-0.3073243498802185,
0.010950199328362942,
-0.25604739785194397,
-0.18128392100334167,
0.03165725991129875,
-0.07667271792888641,
-0.1764993965625763,
-0.07915328443050385,
0.0010234855581074953,
0.19804790616035461,
-0.1631060093641281,
-0.03464553877711296,
0.12622420489788055,
0.03138430416584015,
0.047351155430078506,
0.23515069484710693,
-0.18265122175216675,
0.054192036390304565,
0.02884005196392536,
0.2262764871120453,
0.41118142008781433,
-0.20428447425365448,
-0.6995335817337036,
-0.007170574273914099,
-0.08847211301326752,
-0.24175718426704407,
-0.13286618888378143,
0.24760857224464417,
0.4465605914592743,
-0.14351379871368408,
0.21046629548072815,
0.5739885568618774,
-0.16754527390003204,
0.14042899012565613,
-0.22272223234176636,
-0.17239806056022644,
-0.06703212857246399,
0.18465404212474823,
0.14324404299259186,
-0.10967379063367844,
0.011931713670492172,
0.6371195912361145,
0.23053820431232452,
-0.11815875768661499,
-0.23211504518985748,
-0.004396210424602032,
0.266366571187973,
-0.30782315135002136,
-0.10001255571842194,
-0.05420028045773506,
-0.5955294370651245,
0.030195750296115875,
-0.2725133001804352,
0.19959977269172668,
-0.012548255734145641,
-0.1999819576740265,
-0.032262708991765976,
0.0027677142061293125,
-0.02147478237748146,
-0.041503798216581345,
0.14903366565704346,
-0.10393455624580383,
0.03776148334145546,
0.016410430893301964,
0.13712584972381592,
0.33913031220436096,
-0.23257866501808167,
0.4468238651752472,
-0.003963978961110115,
0.2574145197868347,
-0.28839758038520813,
-0.3253236711025238,
0.1558016985654831,
0.24388819932937622,
0.030585385859012604,
-0.12488038092851639,
-0.06957951188087463,
0.21655449271202087,
0.1029067263007164,
-0.08505760878324509,
0.06705182045698166,
-0.33819106221199036,
0.37754982709884644,
0.0862097442150116,
-0.05293237045407295,
-0.07910645753145218,
0.07668917626142502,
-0.07673238962888718,
0.018533140420913696,
0.22335097193717957,
-0.3123072385787964,
-0.07031028717756271,
0.1040065661072731,
0.2196219265460968,
0.06820753216743469,
-0.13731420040130615,
-0.1277415156364441,
0.21088215708732605,
0.22927701473236084,
0.24448943138122559,
0.015721233561635017,
0.038441430777311325,
-0.365306556224823,
0.27149054408073425,
0.4710390865802765,
0.009044397622346878,
0.28053152561187744,
-0.0276138037443161,
-0.06783606112003326,
-0.01764831319451332,
0.37193480134010315,
0.023189768195152283,
0.3294188678264618,
0.11665694415569305,
-0.11657097190618515,
0.011138915084302425,
-0.10210765898227692,
-0.29719653725624084,
0.1116592213511467,
0.12786372005939484,
0.31787392497062683,
-0.10101091861724854,
0.3305140733718872,
-0.03437226638197899,
-0.34309184551239014,
-0.20008893311023712,
-0.09329705685377121,
0.24215565621852875,
0.1284601092338562,
0.2591359615325928,
-0.1354101151227951,
-0.6098309755325317,
-0.05507965758442879,
-0.16726858913898468,
-0.09036113321781158,
-0.22800911962985992,
-0.023899033665657043,
0.4561629593372345,
0.27615320682525635,
0.0735805481672287,
0.29388198256492615,
0.2140803337097168,
0.03674903139472008,
0.08619970083236694,
0.15598119795322418,
-0.11963631957769394,
-0.3185093402862549,
0.07188037782907486,
0.39522644877433777,
0.2435242235660553,
0.08686131983995438,
-0.24151480197906494,
-0.18731831014156342,
-0.09849010407924652,
-0.3265630602836609,
0.20327259600162506,
-0.23567287623882294,
0.305990606546402,
-0.017747370526194572,
0.23887331783771515,
-0.6264249086380005,
-0.21012341976165771,
0.102808378636837,
-0.12800568342208862,
-0.11295291036367416,
-0.038872890174388885,
-0.005858159624040127,
-0.36101648211479187,
-0.24185672402381897,
-0.14751099050045013,
-0.5018797516822815,
-0.24258741736412048,
0.2574925124645233,
-0.0037880917079746723,
0.19984523952007294,
0.2799191474914551,
0.07124092429876328,
0.31753048300743103,
0.0995088666677475,
-0.23881179094314575,
0.06216589733958244,
0.022067038342356682,
0.23596280813217163,
-0.24667267501354218,
-0.5061872601509094,
0.06595058739185333,
0.05682883411645889,
0.03246128559112549,
-0.2706150412559509,
-0.40027639269828796,
-0.46518129110336304,
0.1409190148115158,
0.23564451932907104,
-0.0490809828042984,
-0.13650156557559967,
0.13784299790859222,
-0.18993276357650757,
0.0716857761144638,
0.015007883310317993,
-0.23039905726909637,
-0.17598633468151093,
0.13017944991588593,
0.283284068107605,
-0.2543376088142395,
0.04595978558063507,
0.15705278515815735,
0.22293885052204132,
0.11176846921443939,
-0.08313345909118652,
0.15639039874076843,
0.09553366899490356,
0.1974157989025116,
-0.1802193522453308,
-0.42029011249542236,
0.33444926142692566,
-0.11916878819465637,
-0.09323793649673462,
0.34363627433776855,
-0.15984097123146057,
-0.6042137145996094,
-0.12987609207630157,
0.0671723410487175,
-0.3866874873638153,
-0.46388736367225647,
0.16150765120983124,
0.5007522106170654,
-0.13982784748077393,
0.25034603476524353,
0.18707406520843506,
0.008182377554476261,
-0.34842967987060547,
-0.37131014466285706,
0.22920924425125122,
-0.26665517687797546,
0.04256046190857887,
0.2036813497543335,
-0.4245845675468445,
-0.671054482460022,
0.1856251060962677,
0.07730073481798172,
0.1294669657945633,
0.03373365476727486,
0.16176460683345795,
0.14359386265277863,
0.010684072971343994,
0.20230939984321594,
0.23272551596164703,
-0.0438249297440052,
0.08600233495235443,
0.05781114473938942,
-0.2841724753379822,
0.02707941271364689,
-0.39344522356987,
0.5534505248069763,
0.8214972019195557,
0.21728621423244476,
-0.12233015149831772,
0.1616934835910797,
0.5125229954719543,
-0.02566499076783657,
0.16802288591861725,
0.13292120397090912,
-0.22827917337417603,
-0.3713432550430298,
-0.14193807542324066,
0.10894763469696045,
-0.05841979384422302,
0.07994838804006577,
0.09687230736017227,
-0.069400854408741,
0.24518509209156036,
-0.07987092435359955,
-0.05815791338682175,
0.5733702778816223,
-0.04309709742665291,
0.17280927300453186,
0.07421620935201645,
-0.1856633722782135,
-0.13516667485237122,
0.3057752847671509,
0.2549995481967926,
-0.04839896783232689,
-0.23486243188381195,
0.22553203999996185,
-0.31759563088417053,
0.16910557448863983,
0.5100574493408203,
-0.028745876625180244,
-0.008707603439688683,
-0.26932424306869507,
0.009692074730992317,
0.37018486857414246,
0.08201959729194641,
0.2566707730293274,
0.07617219537496567,
-0.08871478587388992,
0.20067395269870758,
0.23740258812904358,
-0.12386104464530945,
0.024681931361556053,
-0.15152467787265778,
-0.19545307755470276,
-0.20539431273937225,
0.43531280755996704,
0.09283686429262161,
0.7878345251083374,
-0.23235654830932617,
0.161381334066391,
0.2782195508480072,
0.02919670380651951,
0.6408743262290955,
-0.03151613846421242,
0.33673030138015747,
-0.18474169075489044,
-0.2963068187236786,
0.05368519201874733,
-0.021155234426259995,
0.1532122790813446,
0.014196829870343208,
-0.6053224802017212,
0.23526068031787872,
0.3834214508533478,
0.02982729859650135,
0.08889079093933105,
0.13620369136333466,
-0.11280205845832825,
-0.32899412512779236,
-0.6385911107063293,
0.1790301501750946,
-0.3138791620731354,
0.19821497797966003,
-0.30542823672294617,
0.0033893792424350977,
-0.25723743438720703,
0.05614417791366577,
-0.3699455261230469,
0.15100449323654175,
-0.5142829418182373,
-0.04811447486281395,
0.2063174545764923,
-0.30066680908203125,
-0.10240282863378525,
0.3006395101547241,
0.17832356691360474,
0.20467104017734528,
0.06039503589272499,
0.06155625358223915,
-0.058590568602085114,
-0.30445775389671326,
0.0837138444185257,
0.03717808425426483,
0.07622430473566055,
-0.20884190499782562,
-0.08287814259529114,
-0.07315327972173691,
0.27861639857292175,
-0.23776978254318237,
0.3863205313682556,
0.2796514928340912,
0.18206222355365753,
0.020237624645233154,
-0.0653483048081398,
-0.03768164664506912,
-0.17243234813213348,
-0.28082212805747986,
0.10838403552770615,
-0.1088259220123291,
-0.06522026658058167,
0.2896266281604767,
0.14065705239772797,
-0.1736132651567459,
-0.003592601977288723,
0.27035456895828247,
-0.17901048064231873,
0.1063859760761261,
0.20714977383613586,
0.2732163369655609,
-0.11991070210933685,
-0.21892830729484558,
0.1924758404493332,
-0.5636963248252869,
-0.1794547438621521,
0.02946115843951702,
-0.07871992886066437,
-0.02636171504855156,
-0.08183631300926208,
0.6315823793411255,
0.30250149965286255,
0.025656579062342644,
-0.07841416448354721,
-0.40588271617889404,
-0.1844428926706314,
0.20544080436229706,
0.17861147224903107,
-0.1519642174243927,
0.3767312169075012,
0.33319732546806335,
0.19334232807159424,
0.048748236149549484,
-0.23890827596187592,
0.29427918791770935,
-0.4090551733970642,
0.16265296936035156,
-0.05745452642440796,
-0.31670522689819336,
0.1807575672864914,
-0.16345800459384918,
-0.0068308706395328045,
0.5193843841552734,
0.1276141107082367,
-0.2376260906457901,
-0.08323689550161362,
0.06300925463438034,
0.020876627415418625,
-0.10651818662881851,
-0.3156403601169586,
-0.07924584299325943,
-0.03797832876443863,
-0.03086882457137108,
0.09227948635816574,
-0.11091037839651108,
0.21215200424194336,
-0.04508569836616516,
0.25605422258377075,
0.22376392781734467,
0.1853877753019333,
0.0336076095700264,
-0.026624931022524834,
0.2572001814842224,
0.10353605449199677,
0.20876544713974,
0.17264555394649506,
0.038589559495449066,
0.22618462145328522,
-0.04137681424617767,
-0.16636726260185242,
0.07988878339529037,
0.31233179569244385,
-0.3684277832508087,
0.06631996482610703,
-0.12071537971496582,
-0.08334951847791672,
0.39146047830581665,
0.09454567730426788,
-0.22146672010421753,
0.24221819639205933,
0.12057948112487793,
-0.20341120660305023,
0.059440746903419495,
0.5620881915092468,
0.19853399693965912,
0.11759109050035477,
0.5118358135223389,
0.0033112105447798967,
-0.00012639109627343714,
0.1494714915752411,
0.11183463782072067,
0.2903251349925995,
0.4005499482154846,
-0.059446487575769424,
-0.10892564803361893,
-0.04077715054154396,
0.10463763773441315,
0.12247217446565628,
0.10486497730016708,
0.18972009420394897,
-0.0031352308578789234,
-0.08938498795032501,
0.09117848426103592,
-0.21281373500823975,
0.07399344444274902,
0.3456501066684723,
-0.07070387154817581,
-0.2760522663593292,
0.061198823153972626,
0.22912675142288208,
0.062462594360113144,
0.0791783481836319,
0.7251800298690796,
-0.3464801013469696,
-0.22814327478408813,
-0.02409789338707924,
0.16770732402801514,
-0.3900534212589264,
0.11122927069664001,
-0.25787633657455444,
0.103654645383358,
-0.07326433807611465,
0.066691093146801,
-0.15407682955265045,
-0.13330821692943573,
0.35017332434654236,
0.29399898648262024,
-0.17318843305110931,
-0.024733027443289757,
-0.10646089166402817,
0.16021236777305603,
-0.10827048122882843,
-0.023033371195197105,
0.38537707924842834,
-0.34098494052886963,
0.1951875239610672,
-0.1848583221435547,
0.5654686689376831,
0.1751050055027008,
0.18691018223762512,
-0.25897058844566345,
-0.1922297328710556,
-0.04654531180858612,
-0.009189892560243607,
-0.1291232705116272,
-0.10915734618902206,
0.4811042845249176,
0.17956197261810303,
0.25972673296928406,
0.07102730870246887,
-0.139082133769989,
0.2577846944332123,
0.19828630983829498,
-0.28091341257095337,
0.14965374767780304,
-0.2773092985153198,
0.04808846116065979,
-0.1703658252954483,
-0.2510802149772644,
-0.10992174595594406,
-0.26709237694740295,
0.4196454882621765,
-0.26302987337112427,
-0.08880841732025146,
0.08305705338716507,
-0.06837189197540283,
0.06529135257005692,
0.03694263845682144,
0.5547953844070435,
0.3388822674751282,
0.017960943281650543,
-0.2560867965221405,
-0.4043077528476715,
-0.396300345659256,
0.22965623438358307,
-0.22898265719413757,
-0.07774502038955688,
0.08669266104698181,
0.2964426875114441,
-0.05007990077137947,
0.49343326687812805,
0.014593523927032948,
0.044202107936143875,
-0.1833363026380539,
-0.0094634173437953,
-0.5380405187606812,
-0.06271463632583618,
0.2135578691959381,
-0.33248093724250793,
-0.07470705360174179,
-0.25559201836586,
0.2263031154870987,
-0.34457752108573914,
0.011229896917939186,
-0.02247164398431778,
-0.37018170952796936,
-0.24126404523849487,
-0.08207903057336807,
0.17296883463859558,
0.07968755066394806,
0.06808504462242126,
0.012300046160817146,
-0.2333475947380066,
0.03424548730254173,
-0.2586528956890106,
-0.20849592983722687,
0.04084810987114906,
0.20121580362319946,
0.2290244847536087,
0.08602162450551987,
0.3633444905281067,
-0.09533372521400452,
0.5152751207351685,
0.09685762971639633,
0.04516284167766571,
-0.04169957712292671,
-0.02424672245979309,
-0.12852980196475983,
0.13830940425395966,
-0.22996185719966888,
0.4407966136932373,
-0.3113744556903839,
0.2767091393470764,
-0.4855019748210907,
-0.34006908535957336,
0.3633520305156708,
-0.5322362780570984,
-0.18764877319335938,
0.04002312198281288,
0.22818858921527863,
0.08981290459632874,
-0.17658764123916626,
-0.2977270185947418,
-0.024630555883049965,
-0.11291196942329407,
-0.23598967492580414,
-0.4163486957550049,
0.23685169219970703,
-0.18495258688926697,
0.04134831577539444,
-0.09677967429161072,
0.2848268151283264,
0.03882342576980591,
-0.24422185122966766,
-0.21315838396549225,
-0.2190767526626587
] |
https://github.com/huggingface/datasets/issues/217 | Multi-task dataset mixing | I like this feature! I think the first question we should decide on is how to convert all datasets into the same format. In T5, the authors decided to format every dataset into a text-to-text format. If the dataset had "multiple" inputs like MNLI, the inputs were concatenated. So in MNLI the input:
> - **Hypothesis**: The St. Louis Cardinals have always won.
>
> - **Premise**: yeah well losing is i mean i’m i’m originally from Saint Louis and Saint Louis Cardinals when they were there were uh a mostly a losing team but
was flattened to a single input:
> mnli hypothesis: The St. Louis Cardinals have always won. premise:
> yeah well losing is i mean i’m i’m originally from Saint Louis and Saint Louis Cardinals
> when they were there were uh a mostly a losing team but.
This flattening is actually a very simple operation in `nlp` already. You would just need to do the following:
```python
def flatten_inputs(example):
return {"input": "mnli hypothesis: " + example['hypothesis'] + " premise: " + example['premise']}
t5_ready_mnli_ds = mnli_ds.map(flatten_inputs, remove_columns=[<all columns except output>])
```
So I guess converting the datasets into the same format can be left to the user for now.
Then the question is how we can merge the datasets. I would probably be in favor of a simple
```python
dataset.add()
```
function that checks if the dataset is of the same format and if yes merges the two datasets. Finally, how should the sampling be implemented? **Examples-proportional mixing** corresponds to just merging the datasets and shuffling. For the other two sampling approaches we would need some higher-level features, maybe even a `dataset.sample()` function for merged datasets.
What are your thoughts on this @thomwolf @lhoestq @ghomasHudson @enzoampil ? | It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
| 291 | Multi-task dataset mixing
It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
I like this feature! I think the first question we should decide on is how to convert all datasets into the same format. In T5, the authors decided to format every dataset into a text-to-text format. If the dataset had "multiple" inputs like MNLI, the inputs were concatenated. So in MNLI the input:
> - **Hypothesis**: The St. Louis Cardinals have always won.
>
> - **Premise**: yeah well losing is i mean i’m i’m originally from Saint Louis and Saint Louis Cardinals when they were there were uh a mostly a losing team but
was flattened to a single input:
> mnli hypothesis: The St. Louis Cardinals have always won. premise:
> yeah well losing is i mean i’m i’m originally from Saint Louis and Saint Louis Cardinals
> when they were there were uh a mostly a losing team but.
This flattening is actually a very simple operation in `nlp` already. You would just need to do the following:
```python
def flatten_inputs(example):
return {"input": "mnli hypothesis: " + example['hypothesis'] + " premise: " + example['premise']}
t5_ready_mnli_ds = mnli_ds.map(flatten_inputs, remove_columns=[<all columns except output>])
```
So I guess converting the datasets into the same format can be left to the user for now.
Then the question is how we can merge the datasets. I would probably be in favor of a simple
```python
dataset.add()
```
function that checks if the dataset is of the same format and if yes merges the two datasets. Finally, how should the sampling be implemented? **Examples-proportional mixing** corresponds to just merging the datasets and shuffling. For the other two sampling approaches we would need some higher-level features, maybe even a `dataset.sample()` function for merged datasets.
What are your thoughts on this @thomwolf @lhoestq @ghomasHudson @enzoampil ? | [
-0.06062903627753258,
-0.4335702657699585,
-0.05662935599684715,
-0.015486029908061028,
-0.16559092700481415,
0.04524800553917885,
0.18558642268180847,
0.18404991924762726,
0.20416028797626495,
-0.14907842874526978,
-0.2486170083284378,
0.2844129800796509,
-0.18000783026218414,
0.47155192494392395,
0.38028332591056824,
-0.4318713843822479,
0.07262514531612396,
-0.14835745096206665,
-0.3279532492160797,
0.34652191400527954,
0.04343181475996971,
0.12348002195358276,
-0.18072380125522614,
0.0299021378159523,
-0.35130956768989563,
-0.1616334766149521,
-0.38507139682769775,
0.07486508786678314,
0.014117106795310974,
0.03146897628903389,
0.06988030672073364,
0.39470648765563965,
-0.04164378345012665,
0.18248321115970612,
-0.00011498481762828305,
-0.1062702164053917,
0.11025461554527283,
-0.10874617844820023,
0.09373293071985245,
-0.03407808765769005,
0.13381743431091309,
-0.3790651261806488,
0.0580892339348793,
-0.16541606187820435,
0.20267705619335175,
0.1457466334104538,
0.19343526661396027,
0.051303885877132416,
0.367055743932724,
-0.21853314340114594,
0.08402930945158005,
0.264430969953537,
-0.13485004007816315,
0.3218308687210083,
-0.06517403572797775,
0.02047020196914673,
0.0448855496942997,
0.2399408519268036,
0.6195868849754333,
-0.4785766303539276,
-0.027776921167969704,
0.22522149980068207,
-0.011841867119073868,
-0.01231606025248766,
0.12501268088817596,
-0.06387169659137726,
-0.2911248803138733,
-0.23895953595638275,
-0.3664337396621704,
0.24455289542675018,
-0.04346790909767151,
-0.21901525557041168,
-0.22686216235160828,
-0.5487819910049438,
-0.02522245980799198,
-0.016629504039883614,
-0.3268791437149048,
0.06366660445928574,
-0.16956321895122528,
-0.0531393326818943,
-0.16527917981147766,
-0.07770996540784836,
-0.0644056648015976,
0.13073258101940155,
0.29616186022758484,
0.54425448179245,
0.03871045261621475,
0.05356590077280998,
0.29034173488616943,
0.03676622360944748,
-0.11274208873510361,
-0.27517837285995483,
0.3076985478401184,
0.07872676849365234,
-0.3209530711174011,
-0.3482196033000946,
0.0695451870560646,
-0.3125922679901123,
0.3218032717704773,
0.0821099802851677,
0.13770300149917603,
0.06355174630880356,
-0.13061770796775818,
0.21757495403289795,
0.3832533359527588,
0.008566953241825104,
-0.07508304715156555,
-0.1686057150363922,
0.007640494499355555,
-0.14267051219940186,
0.16614370048046112,
0.1513284593820572,
0.11848543584346771,
-0.003999081440269947,
-0.4497523605823517,
-0.062116317451000214,
-0.0710136741399765,
0.05218537896871567,
-0.125784233212471,
-0.5080181360244751,
-0.11419256031513214,
-0.09674448519945145,
-0.11398378014564514,
-0.17604196071624756,
-0.26717662811279297,
0.17692509293556213,
0.0036277135368436575,
0.271809458732605,
-0.16389134526252747,
0.039084356278181076,
-0.03798045590519905,
0.01682962477207184,
-0.4351600408554077,
-0.08235824108123779,
0.2814766466617584,
0.08760984987020493,
0.05325400456786156,
0.1616659313440323,
-0.041585758328437805,
0.06550058722496033,
0.33225369453430176,
0.02868466079235077,
0.13818179070949554,
-0.04580089449882507,
0.17860114574432373,
-0.26701077818870544,
-0.010550275444984436,
0.15709304809570312,
-0.3184621036052704,
-0.12241021543741226,
-0.15247073769569397,
-0.20893213152885437,
0.05303450673818588,
0.010931397788226604,
-0.17490306496620178,
-0.2891993820667267,
-0.45561420917510986,
0.724881649017334,
0.015413427725434303,
-0.08319629728794098,
-0.19418594241142273,
0.13860651850700378,
-0.15149907767772675,
-0.0932871624827385,
0.22360262274742126,
0.11550799757242203,
-0.07817365229129791,
-0.2775519788265228,
0.019100885838270187,
-0.08028440177440643,
0.012737736105918884,
0.3045516610145569,
-0.06466145068407059,
0.25489547848701477,
0.06150002405047417,
0.20962871611118317,
0.30092233419418335,
-0.39963504672050476,
-0.00243769446387887,
0.34459447860717773,
-0.055489517748355865,
0.38467511534690857,
0.10268256068229675,
0.1290329247713089,
0.002214512089267373,
-0.1920386701822281,
0.2654210329055786,
0.9147469401359558,
-0.3811213970184326,
0.06711094081401825,
-0.1982174664735794,
-0.3537554442882538,
0.5127950310707092,
0.2841843068599701,
0.011131275445222855,
-0.34456244111061096,
-0.13308767974376678,
-0.004994895774871111,
0.07843354344367981,
0.0030070876237004995,
0.037370651960372925,
-0.02651955932378769,
-0.3109759986400604,
0.07546776533126831,
-0.19495461881160736,
-0.11524031311273575,
-0.4247467815876007,
-0.10035908222198486,
0.04577982425689697,
0.3210239112377167,
0.2605731785297394,
-0.15339244902133942,
0.22681379318237305,
-0.308633416891098,
-0.15567155182361603,
-0.2565403878688812,
0.133099764585495,
-0.02675182744860649,
-0.014473753049969673,
-0.20608538389205933,
-0.0964525043964386,
0.32367777824401855,
0.057791974395513535,
-0.0758986547589302,
-0.49590304493904114,
0.24824398756027222,
-0.07776182144880295,
0.020057570189237595,
0.07954919338226318,
0.6802397966384888,
-0.1879967302083969,
-0.07588937133550644,
0.18547311425209045,
0.26534074544906616,
-0.316218763589859,
0.25385767221450806,
0.22005999088287354,
0.33087342977523804,
0.2140360027551651,
-0.06979589909315109,
0.10537411272525787,
-0.06378648430109024,
-0.04165637493133545,
-0.2234189808368683,
-0.19158977270126343,
0.43757492303848267,
-0.1759514957666397,
0.46365246176719666,
-0.03217552229762077,
0.029152704402804375,
-0.22143839299678802,
-0.016903018578886986,
-0.23426444828510284,
0.38474106788635254,
0.31314292550086975,
-0.20771268010139465,
0.33080998063087463,
-0.046972617506980896,
-0.44120222330093384,
0.2577674984931946,
0.2447437047958374,
0.06818360090255737,
0.09573749452829361,
-0.0095518808811903,
-0.045534197241067886,
-0.3349422514438629,
-0.06029944494366646,
0.34204792976379395,
0.5666441321372986,
0.2699577510356903,
0.19837455451488495,
0.0683957040309906,
-0.26644691824913025,
-0.11241111904382706,
0.06929817795753479,
0.16281509399414062,
0.012806706130504608,
0.2764880955219269,
0.03590720519423485,
0.07019875943660736,
-0.01635843515396118,
-0.09048422425985336,
0.13983875513076782,
-0.18486683070659637,
-0.15955105423927307,
0.013510562479496002,
-0.23286226391792297,
-0.6612979769706726,
-0.2655377984046936,
0.059566009789705276,
-0.306205689907074,
-0.3195211887359619,
0.1293628066778183,
0.017231810837984085,
-0.14742325246334076,
0.1712544560432434,
0.23219631612300873,
0.6074469685554504,
-0.3907056152820587,
-0.15059229731559753,
-0.06880822032690048,
-0.3318817913532257,
-0.14265254139900208,
0.07787410914897919,
0.5498902201652527,
0.3654058277606964,
0.4354557693004608,
0.17507511377334595,
0.0016456637531518936,
0.040315527468919754,
-0.4197554886341095,
0.0945982038974762,
-0.33445635437965393,
0.16005390882492065,
0.06284310668706894,
-0.16257432103157043,
0.1456708014011383,
-0.42311903834342957,
-0.08997166901826859,
0.02438977360725403,
-0.09786473959684372,
0.017521336674690247,
-0.03967570140957832,
0.02787160500884056,
-0.22343942523002625,
-0.30245503783226013,
-0.5716316103935242,
-0.4520237445831299,
0.3431037962436676,
-0.27985358238220215,
0.14475825428962708,
0.06941834837198257,
-0.2256755381822586,
0.14136268198490143,
-0.17480264604091644,
0.07033822685480118,
-0.11356339603662491,
-0.10608216375112534,
0.04219083860516548,
-0.34368380904197693,
-0.24148795008659363,
-0.38526856899261475,
-0.026993276551365852,
0.17016905546188354,
-0.00152994180098176,
-0.060109417885541916,
-0.23663626611232758,
0.07347795367240906,
-0.21928182244300842,
0.11132589727640152,
0.2957318425178528,
0.13768994808197021,
-0.16666559875011444,
0.13377735018730164,
-0.04997418820858002,
-0.1868762969970703,
0.20780999958515167,
0.3281921148300171,
0.38636523485183716,
0.15270382165908813,
0.0017185022588819265,
0.27756547927856445,
0.6705085635185242,
0.34821486473083496,
0.04389125853776932,
0.09031037241220474,
0.25889790058135986,
0.060461245477199554,
0.1286640167236328,
-0.18067032098770142,
0.26686421036720276,
-0.20002704858779907,
0.5133733749389648,
0.1512204259634018,
0.18066474795341492,
-0.10541228204965591,
-0.21315033733844757,
0.1212698370218277,
-0.35108914971351624,
-0.19965611398220062,
0.3020293116569519,
-0.3192823529243469,
0.02158193290233612,
-0.05448956787586212,
-0.3992002308368683,
-0.2533683478832245,
-0.04955455660820007,
0.017426956444978714,
0.35206419229507446,
-0.05508057028055191,
0.19885952770709991,
-0.4190734624862671,
-0.09170380979776382,
-0.4600537121295929,
0.19697119295597076,
0.08974127471446991,
0.33363261818885803,
-0.0685618594288826,
-0.1117725521326065,
-0.08517778664827347,
0.13111233711242676,
0.5710859894752502,
-0.5576238632202148,
-0.2217063456773758,
0.17702382802963257,
0.1506173461675644,
-0.08356287330389023,
-0.12241483479738235,
-0.38056671619415283,
-0.02671450562775135,
0.46636226773262024,
0.42542871832847595,
-0.40828508138656616,
-0.3596426248550415,
0.2669551372528076,
-0.16865219175815582,
-0.020688604563474655,
-0.1301172524690628,
-0.20354849100112915,
-0.21533064544200897,
-0.1732441633939743,
0.026581766083836555,
0.224521204829216,
0.16896389424800873,
-0.15442778170108795,
0.15072369575500488,
-0.04602191969752312,
0.2372140884399414,
0.21118490397930145,
-0.012833614833652973,
-0.05038972198963165,
0.26388493180274963,
0.06503301858901978,
0.07246547937393188,
-0.030610794201493263,
-0.2702561616897583,
0.10697295516729355,
-0.13292747735977173,
0.06653204560279846,
0.27353882789611816,
-0.07887053489685059,
0.7340443134307861,
0.15070149302482605,
0.3863653242588043,
0.17446643114089966,
-0.10423766821622849,
0.02026783674955368,
-0.24745485186576843,
0.21436667442321777,
0.20877225697040558,
0.24122455716133118,
-0.18776948750019073,
-0.19011402130126953,
0.5577901601791382,
0.33030593395233154,
-0.01569283939898014,
0.4144621193408966,
-0.47154343128204346,
-0.2955446243286133,
0.31731584668159485,
0.037460945546627045,
0.7747870087623596,
-0.055943287909030914,
0.3117327392101288,
0.08896934241056442,
-0.4208640456199646,
0.5706256031990051,
-0.4346333146095276,
0.15796615183353424,
-0.09969193488359451,
-0.1840035617351532,
0.030260540544986725,
-0.10041110217571259,
-0.026499580591917038,
0.2533988058567047,
-0.3821479082107544,
0.3142699897289276,
0.4203949272632599,
-0.2569931149482727,
-0.031891271471977234,
0.5367088913917542,
-0.05316861718893051,
-0.392829567193985,
-0.05631422623991966,
0.041811753064394,
-0.32738640904426575,
0.08863253891468048,
-0.1278614103794098,
-0.3133986294269562,
0.23929034173488617,
0.15863969922065735,
-0.3130236566066742,
0.10464929044246674,
-0.06307310611009598,
0.14268863201141357,
0.2242191582918167,
-0.035015594214200974,
0.2476469874382019,
-0.13931423425674438,
0.04299277812242508,
-0.13076256215572357,
-0.06671774387359619,
0.03300900757312775,
-0.10206156224012375,
0.07684865593910217,
0.0985979214310646,
-0.16361387073993683,
0.5141544342041016,
-0.003341516712680459,
0.008826995268464088,
-0.2976301908493042,
0.2612648606300354,
-0.38956359028816223,
-0.27695053815841675,
-0.024676501750946045,
0.18370667099952698,
0.09997130930423737,
-0.29114818572998047,
0.614385187625885,
0.08731109648942947,
0.035768404603004456,
0.040252137929201126,
0.13858215510845184,
-0.23400503396987915,
0.5710294246673584,
-0.24325881898403168,
-0.014289749786257744,
0.08371656388044357,
-0.01370172668248415,
-0.11303979903459549,
-0.4529513418674469,
-0.020737536251544952,
0.3857307434082031,
0.07245323061943054,
-0.02220546081662178,
0.06766720116138458,
0.13055844604969025,
-0.060833822935819626,
-0.017283082008361816,
-0.2517116963863373,
-0.2992796301841736,
0.10248854756355286,
0.24880781769752502,
0.24665313959121704,
0.1551617830991745,
-0.04194330424070358,
-0.24314841628074646,
-0.13975226879119873,
0.546168327331543,
-0.0309030469506979,
0.26203468441963196,
-0.05144910886883736,
0.38082554936408997,
0.3815823197364807,
0.5050745606422424,
-0.2507598102092743,
0.07350707799196243,
0.0664883404970169,
0.19243568181991577,
0.4419764280319214,
-0.26780688762664795,
-0.03233399987220764,
0.2462565153837204,
-0.1350870430469513,
0.1086004227399826,
-0.3244999647140503,
-0.15105067193508148,
-0.20546050369739532,
0.1055411621928215,
0.19726678729057312,
0.0291514340788126,
0.047509465366601944,
-0.033540014177560806,
-0.13116863369941711,
-0.10678375512361526,
0.021673746407032013,
-0.37187132239341736,
-0.12796542048454285,
0.23094786703586578,
-0.11810000240802765,
0.036770887672901154,
0.0795673057436943,
0.135007843375206,
0.004463276360183954,
-0.09252642840147018,
0.3175368309020996,
0.0924285426735878,
0.06634542346000671,
-0.1891515552997589,
-0.18550240993499756,
0.04238743335008621,
0.23217354714870453,
0.18918286263942719,
0.0023197997361421585,
0.08651178330183029,
-0.17059411108493805,
-0.16673603653907776,
0.21267834305763245,
0.23364511132240295,
0.01032536756247282,
-0.09136737138032913,
0.1436547338962555,
0.09549912810325623,
-0.054431382566690445,
-0.005216205958276987,
0.22590750455856323,
0.059953827410936356,
-0.007213828153908253,
0.0664544403553009,
0.19826142489910126,
0.3934859037399292,
-0.18172912299633026,
0.04547881707549095,
0.03525976091623306,
-0.3973194360733032,
0.1519799828529358,
-0.04009997844696045,
0.0002020208485191688,
0.0052862572483718395,
0.06006694957613945,
0.03778809681534767,
0.1249130517244339,
-0.3215548098087311,
0.328936904668808,
0.26297348737716675,
0.025910967960953712,
0.03557557612657547,
0.17994649708271027,
-0.028497587889432907,
-0.15546953678131104,
0.27964526414871216,
0.0755624920129776,
0.43249422311782837,
0.05860938876867294,
0.8388553261756897,
-0.292815238237381,
-0.5137995481491089,
0.11349032074213028,
0.4244176149368286,
-0.0020870622247457504,
-0.19419610500335693,
0.05413691699504852,
0.11889059096574783,
-0.3490162491798401,
0.0717269703745842,
-0.06716357171535492,
-0.12387624382972717,
0.5954530835151672,
-0.003620558651164174,
0.16622339189052582,
-0.22186878323554993,
-0.17409615218639374,
0.28185051679611206,
0.23936374485492706,
-0.11452365666627884,
0.11490674316883087,
0.0892239511013031,
-0.1297861486673355,
-0.15155139565467834,
0.556912362575531,
0.2587621510028839,
0.052571024745702744,
-0.42290517687797546,
0.014232473447918892,
0.09556431323289871,
0.10881666094064713,
0.07581375539302826,
0.08942315727472305,
0.4531348645687103,
-0.13934700191020966,
0.2778196334838867,
-0.011475368402898312,
-0.01169667486101389,
-0.15413127839565277,
0.033524803817272186,
-0.48072144389152527,
-0.34382179379463196,
0.3919150233268738,
0.14652658998966217,
-0.1690302938222885,
0.10381017625331879,
0.26207050681114197,
-0.7270407676696777,
-0.2905248701572418,
0.41981545090675354,
-0.028902510181069374,
-0.03651430830359459,
-0.20693455636501312,
0.06619687378406525,
0.18844294548034668,
0.5728138089179993,
0.2763862907886505,
0.32753780484199524,
-0.3885541558265686,
-0.11769860982894897,
-0.5355226993560791,
-0.17271281778812408,
0.19988888502120972,
-0.04911639541387558,
-0.18681901693344116,
0.14797575771808624,
-0.02143285796046257,
0.3246808648109436,
-0.2616150379180908,
0.10892476886510849,
0.16829875111579895,
0.07349096983671188,
-0.5057322382926941,
0.11960281431674957,
0.20687872171401978,
0.04922573268413544,
0.19890868663787842,
-0.05705815553665161,
-0.08499018847942352,
0.1317051500082016,
-0.07632080465555191,
-0.08576175570487976,
0.005866107530891895,
0.24516701698303223,
0.16404074430465698,
-0.026463065296411514,
0.08232589066028595,
0.46307995915412903,
-0.013872740790247917,
-0.19936496019363403,
-0.01980419084429741,
0.044574081897735596,
-0.40713468194007874,
-0.07028967887163162,
-0.0931830182671547,
0.19522559642791748,
-0.39534664154052734,
0.2937242090702057,
0.008450246416032314,
-0.11665989458560944,
0.07646239548921585,
0.028759559616446495,
-0.15167859196662903,
-0.0498308390378952,
0.08785472065210342,
0.19569411873817444,
0.2983796000480652,
0.7401276230812073,
-0.005243984051048756,
0.12361162155866623,
-0.1726134717464447,
-0.06902076303958893,
0.02740965597331524,
-0.05322415009140968,
-0.2343159168958664,
-0.10208047926425934,
0.06130256503820419,
0.16821062564849854,
0.2172335386276245,
-0.6970354914665222,
-0.37758535146713257,
0.0372028648853302,
-0.05564756318926811,
0.013424401171505451,
0.7778041958808899,
0.13142213225364685,
-0.16813673079013824,
-0.16086938977241516,
-0.3078276216983795,
0.011136811226606369,
-0.2971329689025879,
0.048108696937561035,
-0.4513055384159088
] |
https://github.com/huggingface/datasets/issues/217 | Multi-task dataset mixing | I agree that we should leave the flattening of the dataset to the user for now. Especially because although the T5 framing seems obvious, there are slight variations on how the T5 authors do it in comparison to other approaches such as gpt-3 and decaNLP.
In terms of sampling, Examples-proportional mixing does seem the simplest to implement so would probably be a good starting point.
Temperature-scaled mixing would probably most useful, offering flexibility as it can simulate the other 2 methods by setting the temperature parameter. There is a [relevant part of the T5 repo](https://github.com/google-research/text-to-text-transfer-transformer/blob/03c94165a7d52e4f7230e5944a0541d8c5710788/t5/data/utils.py#L889-L1118) which should help with implementation.
According to the T5 authors, equal-mixing performs worst. Among the other two methods, tuning the K value (the artificial dataset size limit) has a large impact.
| It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
| 126 | Multi-task dataset mixing
It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
I agree that we should leave the flattening of the dataset to the user for now. Especially because although the T5 framing seems obvious, there are slight variations on how the T5 authors do it in comparison to other approaches such as gpt-3 and decaNLP.
In terms of sampling, Examples-proportional mixing does seem the simplest to implement so would probably be a good starting point.
Temperature-scaled mixing would probably most useful, offering flexibility as it can simulate the other 2 methods by setting the temperature parameter. There is a [relevant part of the T5 repo](https://github.com/google-research/text-to-text-transfer-transformer/blob/03c94165a7d52e4f7230e5944a0541d8c5710788/t5/data/utils.py#L889-L1118) which should help with implementation.
According to the T5 authors, equal-mixing performs worst. Among the other two methods, tuning the K value (the artificial dataset size limit) has a large impact.
| [
-0.07244475185871124,
-0.4672178328037262,
-0.04016014188528061,
-0.05503220856189728,
-0.30456024408340454,
0.07474454492330551,
0.1744341254234314,
0.06729564815759659,
0.26532408595085144,
-0.11934687197208405,
-0.2597549855709076,
0.3054884970188141,
-0.16949862241744995,
0.3780531883239746,
0.35094764828681946,
-0.44998228549957275,
-0.02154984138906002,
-0.14634419977664948,
-0.2921181321144104,
0.3242069482803345,
0.05431612208485603,
0.11644241213798523,
-0.15435409545898438,
0.06619985401630402,
-0.2752164602279663,
-0.1766953021287918,
-0.34399890899658203,
0.12340977042913437,
0.08483152836561203,
0.07976388186216354,
0.135843887925148,
0.39544492959976196,
-0.018593138083815575,
0.12798544764518738,
-0.00011141275172121823,
-0.09476138651371002,
0.09925314784049988,
-0.09712187945842743,
0.15263663232326508,
0.03999250382184982,
0.17799226939678192,
-0.3429226577281952,
0.06340292096138,
-0.14008669555187225,
0.13159745931625366,
0.24719113111495972,
0.1972431093454361,
0.0887654721736908,
0.4500884711742401,
-0.35335245728492737,
0.10489175468683243,
0.3131382465362549,
-0.24382935464382172,
0.30103328824043274,
-0.08568546175956726,
-0.15280304849147797,
0.011506573297083378,
0.28885066509246826,
0.6218153238296509,
-0.5280055403709412,
-0.015143528580665588,
0.1048830896615982,
-0.046287767589092255,
0.04999246075749397,
0.13104334473609924,
-0.06663867831230164,
-0.2823977470397949,
-0.2535237967967987,
-0.362751841545105,
0.27751269936561584,
-0.12239691615104675,
-0.06288987398147583,
-0.19258670508861542,
-0.5656949281692505,
-0.0037438415456563234,
0.05627412721514702,
-0.32901331782341003,
0.08781738579273224,
-0.2160569280385971,
0.015035547316074371,
-0.1249791756272316,
-0.12686848640441895,
-0.00769107835367322,
0.11148174852132797,
0.3081294000148773,
0.5256875157356262,
0.07436881959438324,
0.13465355336666107,
0.35248732566833496,
0.10151586681604385,
-0.14089243113994598,
-0.26514482498168945,
0.2907789349555969,
0.13547062873840332,
-0.3288772702217102,
-0.37709712982177734,
0.15168611705303192,
-0.2695583701133728,
0.28027069568634033,
0.09671389311552048,
0.14681462943553925,
0.05229099094867706,
-0.08265113830566406,
0.2643831968307495,
0.3891301155090332,
0.012632107362151146,
-0.09676504880189896,
-0.11974373459815979,
0.023958921432495117,
-0.10591050237417221,
0.19155815243721008,
0.13948890566825867,
0.1446608155965805,
0.009005075320601463,
-0.43491920828819275,
-0.11233676970005035,
-0.19096234440803528,
0.09654742479324341,
-0.18051883578300476,
-0.5517175793647766,
-0.0857008546590805,
-0.10183689743280411,
-0.02041568234562874,
-0.12436402589082718,
-0.2886069715023041,
0.1530837118625641,
-0.07474686950445175,
0.1504199355840683,
-0.18043993413448334,
0.020788371562957764,
-0.07014717906713486,
0.06636720895767212,
-0.4629811644554138,
-0.0349682979285717,
0.2592132091522217,
0.10559343546628952,
0.0714486837387085,
0.11740325391292572,
-0.020503787323832512,
0.16794022917747498,
0.4261094629764557,
0.03080563247203827,
0.028727732598781586,
-0.031046995893120766,
0.14761915802955627,
-0.30910658836364746,
-0.031393490731716156,
0.23604942858219147,
-0.35183122754096985,
-0.0972793698310852,
-0.14454928040504456,
-0.1775629073381424,
0.1374158263206482,
0.04549885913729668,
-0.21582357585430145,
-0.26927077770233154,
-0.4415574073791504,
0.7260340452194214,
-0.013284183107316494,
-0.023931831121444702,
-0.17176946997642517,
0.25947973132133484,
-0.2092253714799881,
-0.11802950501441956,
0.18940463662147522,
0.09559904038906097,
-0.021370014175772667,
-0.3190780580043793,
-0.10603832453489304,
-0.0609193779528141,
-0.01561582088470459,
0.32130640745162964,
-0.15178422629833221,
0.19926604628562927,
0.10687829554080963,
0.17462316155433655,
0.2618967592716217,
-0.429456889629364,
-0.05689621344208717,
0.35273483395576477,
-0.06147163733839989,
0.3841184377670288,
0.050875429064035416,
0.1725042760372162,
-0.0096141267567873,
-0.21683627367019653,
0.24459543824195862,
0.9837128520011902,
-0.40412476658821106,
0.002475675893947482,
-0.1859396994113922,
-0.42441004514694214,
0.5637452602386475,
0.34826216101646423,
0.06482468545436859,
-0.2935229539871216,
-0.1886729747056961,
0.034367501735687256,
0.04671807214617729,
0.09230990707874298,
0.07490944862365723,
-0.08023253828287125,
-0.264489084482193,
0.010359781794250011,
-0.2241344302892685,
-0.16983987390995026,
-0.42165300250053406,
-0.008736447431147099,
-0.036962490528821945,
0.3787113130092621,
0.37277838587760925,
-0.14035247266292572,
0.23759692907333374,
-0.30643683671951294,
-0.11149374395608902,
-0.3117159307003021,
0.1445588767528534,
-0.06806720793247223,
0.012566040270030499,
-0.23941943049430847,
-0.06527691334486008,
0.2053757905960083,
0.09740204364061356,
-0.1050228551030159,
-0.42300838232040405,
0.2914789319038391,
-0.04073332995176315,
0.02150796912610531,
-0.013075762428343296,
0.6146174669265747,
-0.21612344682216644,
-0.11658541858196259,
0.20798267424106598,
0.29159414768218994,
-0.31383341550827026,
0.21099944412708282,
0.30932140350341797,
0.35455596446990967,
0.19584274291992188,
-0.06140482798218727,
0.0992705374956131,
-0.01221090741455555,
-0.08991345763206482,
-0.1710817515850067,
-0.0809541642665863,
0.4797084927558899,
-0.20128418505191803,
0.357545405626297,
-0.021909892559051514,
0.03489631786942482,
-0.2077239751815796,
-0.05692208185791969,
-0.19069355726242065,
0.3881004750728607,
0.31067466735839844,
-0.22799581289291382,
0.33478012681007385,
-0.07678527384996414,
-0.4003094732761383,
0.24344253540039062,
0.21397216618061066,
0.013479609042406082,
0.09026569128036499,
-0.023068252950906754,
0.03124084696173668,
-0.31019872426986694,
-0.06050260365009308,
0.33754435181617737,
0.5514166355133057,
0.28949636220932007,
0.17737045884132385,
0.016729174181818962,
-0.21758238971233368,
-0.07269266247749329,
0.04261374846100807,
0.16537733376026154,
-0.06318686902523041,
0.14198394119739532,
-0.041099656373262405,
0.09890086948871613,
0.026658065617084503,
-0.10134867578744888,
0.12281966209411621,
-0.1445389986038208,
-0.0426812469959259,
-0.03750555217266083,
-0.15475648641586304,
-0.5833346843719482,
-0.1911756545305252,
0.052576445043087006,
-0.35153117775917053,
-0.29605937004089355,
0.20875594019889832,
0.05685420706868172,
-0.1775723397731781,
0.1679806262254715,
0.19975072145462036,
0.6398574113845825,
-0.3923532962799072,
-0.17517153918743134,
-0.052481550723314285,
-0.2999000549316406,
-0.11523331701755524,
0.13736408948898315,
0.43582600355148315,
0.3023831248283386,
0.4983600080013275,
0.23070314526557922,
-0.03287999704480171,
0.12016382813453674,
-0.38628503680229187,
0.11135093122720718,
-0.35678210854530334,
0.29216957092285156,
0.09976132214069366,
-0.10114610940217972,
0.09706760197877884,
-0.3661125600337982,
-0.07395517826080322,
-0.09430358558893204,
-0.061669375747442245,
-0.040394268929958344,
0.008099166676402092,
0.026680780574679375,
-0.22710460424423218,
-0.22857140004634857,
-0.5969745516777039,
-0.4918062090873718,
0.2876461148262024,
-0.25232386589050293,
0.09606632590293884,
0.04323139786720276,
-0.28764525055885315,
0.20857641100883484,
-0.14133451879024506,
0.038155581802129745,
-0.18621976673603058,
-0.07839281857013702,
-0.020862577483057976,
-0.3604215681552887,
-0.17928342521190643,
-0.42282944917678833,
-0.01258440688252449,
0.19307354092597961,
-0.07771410048007965,
-0.06733416765928268,
-0.2891920208930969,
0.032976455986499786,
-0.10656126588582993,
0.08936779201030731,
0.2331579476594925,
0.14413036406040192,
-0.20325018465518951,
0.07359974086284637,
-0.027181902900338173,
-0.1418783813714981,
0.27341705560684204,
0.39811569452285767,
0.3655804395675659,
0.14558780193328857,
-0.025387275964021683,
0.21974174678325653,
0.749504566192627,
0.2815074324607849,
0.08701778203248978,
0.10910969972610474,
0.29363659024238586,
-0.0391642227768898,
0.09498507529497147,
-0.1791396588087082,
0.2571568787097931,
-0.11236868798732758,
0.49735623598098755,
0.17449788749217987,
0.15857039391994476,
-0.20294590294361115,
-0.27151674032211304,
0.019823536276817322,
-0.2972192168235779,
-0.21401064097881317,
0.26668107509613037,
-0.27441754937171936,
-0.0028799285646528006,
-0.10535620898008347,
-0.41696470975875854,
-0.23437300324440002,
-0.08540177345275879,
-0.020185409113764763,
0.28638899326324463,
0.04233977198600769,
0.1747763305902481,
-0.3722774088382721,
-0.024910731241106987,
-0.45011916756629944,
0.13502992689609528,
0.05351858586072922,
0.3062896430492401,
-0.12003669887781143,
-0.10522803664207458,
-0.09981377422809601,
0.15174618363380432,
0.5571807622909546,
-0.5467596650123596,
-0.15157882869243622,
0.08499211072921753,
0.08082804828882217,
-0.13787327706813812,
-0.07683352380990982,
-0.3483755886554718,
-0.013060607016086578,
0.4500731825828552,
0.3170127868652344,
-0.4330320656299591,
-0.3620240390300751,
0.22607167065143585,
-0.1992088109254837,
-0.07860645651817322,
-0.1529192179441452,
-0.20009315013885498,
-0.18559397757053375,
-0.12708818912506104,
0.014104447327554226,
0.2638648748397827,
0.20318469405174255,
-0.09490784257650375,
0.18410947918891907,
-0.02212691493332386,
0.26804253458976746,
0.2252078354358673,
0.033784057945013046,
-0.08329121023416519,
0.23447169363498688,
0.14794892072677612,
0.07315298914909363,
-0.027882205322384834,
-0.38055896759033203,
0.07879547774791718,
-0.08251626044511795,
0.11951764672994614,
0.30150675773620605,
0.0060751475393772125,
0.6325337886810303,
0.08441141247749329,
0.3359811305999756,
0.28056100010871887,
-0.10613907873630524,
0.08464562892913818,
-0.21934041380882263,
0.1391848623752594,
0.15871590375900269,
0.251853883266449,
-0.09183443337678909,
-0.23388001322746277,
0.5279419422149658,
0.2838381826877594,
-0.050370555371046066,
0.427849143743515,
-0.4882172644138336,
-0.2839677333831787,
0.2870749235153198,
0.0938035249710083,
0.7551211714744568,
-0.021681303158402443,
0.30531156063079834,
0.11571823060512543,
-0.3540651798248291,
0.6180203557014465,
-0.3570944368839264,
0.10530250519514084,
-0.07974356412887573,
-0.19833412766456604,
0.03314225748181343,
-0.05398932471871376,
-0.12255187332630157,
0.26841989159584045,
-0.3492085039615631,
0.3354414403438568,
0.4309316873550415,
-0.26445460319519043,
-0.045097801834344864,
0.5335502624511719,
-0.02422507107257843,
-0.32665371894836426,
-0.020114202052354813,
0.07147373259067535,
-0.3004840910434723,
0.06917193531990051,
-0.14425411820411682,
-0.2498892992734909,
0.21163950860500336,
0.17763052880764008,
-0.2500084936618805,
0.059739045798778534,
-0.035752054303884506,
0.15424463152885437,
0.21908216178417206,
0.020608417689800262,
0.2647167444229126,
-0.2386106550693512,
-0.07471293956041336,
-0.1682818979024887,
-0.13552431762218475,
0.07205867767333984,
-0.19097544252872467,
0.04476720839738846,
0.1156843975186348,
-0.09888534992933273,
0.5525388717651367,
-0.07500877231359482,
-0.10550376772880554,
-0.2602421045303345,
0.2500440776348114,
-0.4098784923553467,
-0.21422797441482544,
0.020000578835606575,
0.17416426539421082,
0.151570662856102,
-0.35633978247642517,
0.5705782175064087,
0.06015285849571228,
0.05220349133014679,
0.0529620386660099,
0.16527265310287476,
-0.255143404006958,
0.472382128238678,
-0.2441769391298294,
0.006948657799512148,
0.05782732367515564,
0.009747098200023174,
-0.10201357305049896,
-0.3523837625980377,
-0.06964684277772903,
0.31335705518722534,
0.0930527001619339,
-0.042641378939151764,
0.03194182366132736,
0.1327233910560608,
-0.11251021921634674,
0.019939400255680084,
-0.17062978446483612,
-0.36914920806884766,
0.14089350402355194,
0.24945800006389618,
0.27114856243133545,
0.18250638246536255,
-0.11808470636606216,
-0.20866401493549347,
-0.10900367796421051,
0.510397732257843,
0.0016729355556890368,
0.2612942159175873,
-0.1301575005054474,
0.3655259311199188,
0.42578962445259094,
0.49408066272735596,
-0.29024457931518555,
0.03717358037829399,
0.03744088113307953,
0.09641584753990173,
0.4827969968318939,
-0.26365846395492554,
0.02177978679537773,
0.2817062437534332,
-0.13145826756954193,
0.05857205390930176,
-0.34479478001594543,
-0.16829554736614227,
-0.2200629711151123,
0.11335418373346329,
0.10334287583827972,
-0.020654331892728806,
0.07225687056779861,
-0.04305393248796463,
-0.14204154908657074,
-0.0688854455947876,
0.045749809592962265,
-0.49925723671913147,
-0.08053167909383774,
0.22027722001075745,
-0.13718007504940033,
-0.011609738692641258,
0.020350176841020584,
0.23941479623317719,
-0.008112763054668903,
-0.1258602738380432,
0.2913135290145874,
0.13309305906295776,
0.12393437325954437,
-0.19249922037124634,
-0.1676720231771469,
0.019878797233104706,
0.21255220472812653,
0.17324033379554749,
-0.05693621560931206,
0.19535771012306213,
-0.1702476590871811,
-0.14223447442054749,
0.24023385345935822,
0.12741270661354065,
0.04383215308189392,
-0.17915229499340057,
0.17719930410385132,
0.14164860546588898,
-0.09756139665842056,
0.06519678235054016,
0.2262757122516632,
0.08455821126699448,
0.12077242881059647,
0.09019804745912552,
0.12194262444972992,
0.4357938766479492,
-0.25440526008605957,
-0.01790304109454155,
0.14192256331443787,
-0.35142165422439575,
0.134095698595047,
-0.04542116820812225,
-0.07775188982486725,
0.0030958708375692368,
0.11714547127485275,
-0.07418793439865112,
0.12427593767642975,
-0.35630735754966736,
0.35232338309288025,
0.27313128113746643,
-0.01798049360513687,
0.06044257432222366,
0.17766675353050232,
0.005221328232437372,
-0.1391511708498001,
0.35451436042785645,
0.1029016301035881,
0.40711700916290283,
0.038383081555366516,
0.9214756488800049,
-0.28261396288871765,
-0.4910770058631897,
0.07427056133747101,
0.4407656788825989,
0.013904890045523643,
-0.20885884761810303,
0.06338087469339371,
0.07670687884092331,
-0.34909191727638245,
0.09109161794185638,
0.028142251074314117,
-0.16176636517047882,
0.6003194451332092,
-0.09266402572393417,
0.19700372219085693,
-0.12051048874855042,
-0.18638728559017181,
0.304165244102478,
0.2193450629711151,
-0.08482000231742859,
0.0386621430516243,
0.08103229850530624,
-0.09659130126237869,
-0.20828381180763245,
0.5394885540008545,
0.13788539171218872,
-0.030670013278722763,
-0.4813675880432129,
0.026541778817772865,
0.13031253218650818,
0.16194455325603485,
-0.04226190224289894,
0.16966284811496735,
0.4215094745159149,
-0.1417669951915741,
0.29074084758758545,
0.0038775827270001173,
-0.09474679827690125,
-0.1848486214876175,
0.07130422443151474,
-0.4407307803630829,
-0.35878992080688477,
0.38067784905433655,
0.14892977476119995,
-0.181696817278862,
0.12254220247268677,
0.27388209104537964,
-0.6083036661148071,
-0.22651855647563934,
0.288765549659729,
-0.1661260724067688,
-0.0840122401714325,
-0.2262103259563446,
0.08732547610998154,
0.05002930760383606,
0.6215307116508484,
0.23861190676689148,
0.3424454927444458,
-0.3124419152736664,
-0.11013630777597427,
-0.5452612638473511,
-0.12234305590391159,
0.1547335684299469,
-0.12682484090328217,
-0.16537843644618988,
0.17525863647460938,
-0.0254004318267107,
0.3293077051639557,
-0.26487964391708374,
0.18954212963581085,
0.13836850225925446,
0.08010149002075195,
-0.45095735788345337,
0.14279389381408691,
0.08015494048595428,
0.06859370321035385,
0.2718912363052368,
-0.10980717837810516,
-0.1711379438638687,
0.08312534540891647,
-0.06507854163646698,
-0.0660625696182251,
-0.06892748922109604,
0.2686029374599457,
0.161920428276062,
0.03138852119445801,
0.0771801620721817,
0.43555647134780884,
0.004979622550308704,
-0.20629273355007172,
0.0015175103908404708,
0.001496192067861557,
-0.35154417157173157,
-0.19136925041675568,
-0.07274625450372696,
0.16833744943141937,
-0.3356747627258301,
0.2971017360687256,
-0.029855260625481606,
-0.11843444406986237,
0.12275110185146332,
0.061915524303913116,
-0.19488686323165894,
-0.0924559235572815,
0.10430461913347244,
0.15145082771778107,
0.21517972648143768,
0.7912331819534302,
-0.03391629084944725,
0.0512431338429451,
-0.10069747269153595,
-0.010347816161811352,
0.04032700136303902,
-0.09624476730823517,
-0.22648485004901886,
-0.07545948773622513,
0.03443226218223572,
0.08696621656417847,
0.10204672813415527,
-0.6406654715538025,
-0.37819764018058777,
0.037047937512397766,
-0.040623005479574203,
-0.0003257919743191451,
0.7422398924827576,
0.09145575016736984,
-0.19132667779922485,
-0.07554019242525101,
-0.32336464524269104,
0.008202070370316505,
-0.2920856773853302,
0.16921234130859375,
-0.34073689579963684
] |
https://github.com/huggingface/datasets/issues/217 | Multi-task dataset mixing | I agree with going with temperature-scaled mixing for its flexibility!
For the function that combines the datasets, I also find `dataset.add()` okay while also considering that users may want it to be easy to combine a list of say 10 data sources in one go.
`dataset.sample()` should also be good. By the looks of it, we're planning to have as main parameters: `temperature`, and `K`.
On converting the datasets to the same format, I agree that we can leave these to the users for now. But, I do imagine it'd be an awesome feature for the future to have this automatically handled, based on a chosen *approach* to formatting :smile:
E.g. T5, GPT-3, decaNLP, original raw formatting, or a contributed way of formatting in text-to-text. | It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
| 125 | Multi-task dataset mixing
It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
I agree with going with temperature-scaled mixing for its flexibility!
For the function that combines the datasets, I also find `dataset.add()` okay while also considering that users may want it to be easy to combine a list of say 10 data sources in one go.
`dataset.sample()` should also be good. By the looks of it, we're planning to have as main parameters: `temperature`, and `K`.
On converting the datasets to the same format, I agree that we can leave these to the users for now. But, I do imagine it'd be an awesome feature for the future to have this automatically handled, based on a chosen *approach* to formatting :smile:
E.g. T5, GPT-3, decaNLP, original raw formatting, or a contributed way of formatting in text-to-text. | [
-0.091631680727005,
-0.42115867137908936,
-0.04513263702392578,
-0.08009923994541168,
-0.2404671013355255,
0.059044934809207916,
0.1587897539138794,
0.05346130207180977,
0.3097868263721466,
-0.15817700326442719,
-0.2333139330148697,
0.31752073764801025,
-0.19275881350040436,
0.35245901346206665,
0.420116126537323,
-0.47216013073921204,
0.027789130806922913,
-0.2041647732257843,
-0.3079892098903656,
0.3535069525241852,
0.007799830753356218,
0.11438106000423431,
-0.17745055258274078,
0.08323544263839722,
-0.29802966117858887,
-0.1659754514694214,
-0.3557685315608978,
0.13368478417396545,
0.09495007991790771,
0.019252635538578033,
0.17773206532001495,
0.3762139678001404,
-0.035789526998996735,
0.06485811620950699,
-0.00011105542216682807,
-0.11337100714445114,
0.21172407269477844,
-0.08244482427835464,
0.09594827890396118,
-0.04149753972887993,
0.14164188504219055,
-0.3843332529067993,
0.00042363835382275283,
-0.0986679345369339,
0.18147023022174835,
0.16644401848316193,
0.19007395207881927,
0.049618761986494064,
0.33850231766700745,
-0.29403969645500183,
0.12200936675071716,
0.3003103733062744,
-0.16042497754096985,
0.25943705439567566,
-0.07904578000307083,
-0.07974854856729507,
0.0491224080324173,
0.223652645945549,
0.6150226593017578,
-0.549126386642456,
-0.0011971908388659358,
0.12823158502578735,
-0.0015522981993854046,
-0.02403174340724945,
0.1823764592409134,
-0.04576147720217705,
-0.3587007522583008,
-0.2435752898454666,
-0.3750150501728058,
0.23614202439785004,
-0.11858659237623215,
-0.15378664433956146,
-0.21855023503303528,
-0.5235368609428406,
0.02771906368434429,
0.01679692603647709,
-0.2812062203884125,
0.029973171651363373,
-0.1675623655319214,
-0.0484490692615509,
-0.16560260951519012,
-0.12260448187589645,
0.013107526116073132,
0.15340298414230347,
0.34610816836357117,
0.5681384801864624,
0.06152743473649025,
0.16792145371437073,
0.40035420656204224,
0.001665790448896587,
-0.1527254581451416,
-0.31980255246162415,
0.29201093316078186,
0.0985112413764,
-0.38790443539619446,
-0.33713603019714355,
0.14897991716861725,
-0.18864686787128448,
0.2458423674106598,
0.1551024168729782,
0.10689643025398254,
0.08710207790136337,
-0.11532768607139587,
0.27482134103775024,
0.3207070231437683,
0.06586887687444687,
-0.0684720128774643,
-0.11937577277421951,
0.02774689719080925,
-0.08491197973489761,
0.21637968719005585,
0.12413576245307922,
0.21670301258563995,
-0.02785881608724594,
-0.4467780292034149,
-0.1466723531484604,
-0.17592625319957733,
0.1282651722431183,
-0.17640095949172974,
-0.5241801142692566,
-0.05227171257138252,
-0.10353740304708481,
0.0894397646188736,
-0.04895605519413948,
-0.2832755446434021,
0.1021508276462555,
-0.07685330510139465,
0.20829147100448608,
-0.0627482682466507,
0.074934221804142,
-0.07943777740001678,
0.12596295773983002,
-0.4375811517238617,
-0.014975243248045444,
0.3017207384109497,
0.11207002401351929,
0.117110975086689,
0.15991495549678802,
-0.028330618515610695,
0.10989777743816376,
0.3795182704925537,
-0.016750650480389595,
0.05097763240337372,
-0.007164126727730036,
0.13988077640533447,
-0.32601600885391235,
-0.0488303005695343,
0.17612838745117188,
-0.34295201301574707,
-0.14655040204524994,
-0.13508203625679016,
-0.2072175294160843,
0.14267127215862274,
0.052464962005615234,
-0.19705772399902344,
-0.2726626694202423,
-0.46978330612182617,
0.727302610874176,
-0.06460906565189362,
-0.04315299168229103,
-0.13948529958724976,
0.27761343121528625,
-0.24226990342140198,
-0.09580105543136597,
0.19651871919631958,
0.09004755318164825,
-0.008327420800924301,
-0.3287341892719269,
-0.09379526972770691,
-0.11021561175584793,
-0.032542262226343155,
0.26917794346809387,
-0.173434779047966,
0.20143714547157288,
0.04872151464223862,
0.20125973224639893,
0.272591769695282,
-0.4674473702907562,
-0.06602437794208527,
0.31485679745674133,
-0.02159835770726204,
0.37245628237724304,
0.047157011926174164,
0.22150468826293945,
-0.009119083173573017,
-0.19109752774238586,
0.27087295055389404,
0.9994990825653076,
-0.39096641540527344,
-0.005298844538629055,
-0.1448642611503601,
-0.36753779649734497,
0.5181847810745239,
0.3499695062637329,
0.06550005078315735,
-0.3326672613620758,
-0.14244520664215088,
-0.023778248578310013,
0.08096607029438019,
0.0770779550075531,
0.08081123232841492,
-0.023396294564008713,
-0.3496009409427643,
0.025720782577991486,
-0.21601709723472595,
-0.1317535638809204,
-0.39827924966812134,
-0.013192736543715,
-0.011376888491213322,
0.3362923562526703,
0.2629062235355377,
-0.1139773577451706,
0.23644974827766418,
-0.2684759795665741,
-0.13135114312171936,
-0.3461124300956726,
0.1502704620361328,
-0.061266470700502396,
0.05107888951897621,
-0.26668673753738403,
-0.03675738722085953,
0.3218361437320709,
0.11384926736354828,
-0.11466022580862045,
-0.5048952698707581,
0.27984175086021423,
-0.08512625843286514,
0.03201049566268921,
-0.015921080484986305,
0.6123459339141846,
-0.13566870987415314,
-0.09030520170927048,
0.18309910595417023,
0.3067479729652405,
-0.3286167085170746,
0.2714979946613312,
0.3248352110385895,
0.2580251395702362,
0.18337446451187134,
-0.023683473467826843,
0.11496029794216156,
-0.03480027616024017,
-0.03136909753084183,
-0.2011304348707199,
-0.10553065687417984,
0.4779740571975708,
-0.1793975532054901,
0.403445303440094,
-0.027947627007961273,
0.027526505291461945,
-0.19954346120357513,
-0.03600264713168144,
-0.22701162099838257,
0.3675665557384491,
0.30155739188194275,
-0.19315452873706818,
0.38591375946998596,
-0.09095422923564911,
-0.34883978962898254,
0.17814479768276215,
0.20084072649478912,
0.013798702508211136,
0.09303024411201477,
-0.016065409407019615,
-0.060315217822790146,
-0.3105754256248474,
-0.06443580985069275,
0.4159683883190155,
0.6467362642288208,
0.2788434624671936,
0.14651672542095184,
0.05391921103000641,
-0.23704113066196442,
-0.07217692583799362,
0.027097187936306,
0.179716095328331,
-0.02205779403448105,
0.13218168914318085,
0.028972819447517395,
0.05366856977343559,
-0.019798092544078827,
-0.14596939086914062,
0.13913565874099731,
-0.18290100991725922,
-0.02678830549120903,
0.03504466637969017,
-0.19006137549877167,
-0.5519418120384216,
-0.2311933934688568,
0.04605177044868469,
-0.3759758174419403,
-0.30405372381210327,
0.12783901393413544,
0.025094620883464813,
-0.19186332821846008,
0.18358418345451355,
0.2177858203649521,
0.5667129755020142,
-0.4283859133720398,
-0.25661712884902954,
-0.1000010073184967,
-0.25852158665657043,
-0.10058066248893738,
0.124039426445961,
0.41809260845184326,
0.30088621377944946,
0.4967922568321228,
0.2893137037754059,
-0.01446940191090107,
0.020839491859078407,
-0.38075923919677734,
0.047637008130550385,
-0.2881385087966919,
0.2660781741142273,
0.10908100008964539,
-0.23446282744407654,
0.1544492095708847,
-0.41126111149787903,
-0.027231905609369278,
-0.06777665764093399,
-0.05139271914958954,
-0.04911769554018974,
-0.01519888173788786,
0.020708847790956497,
-0.17686617374420166,
-0.22578772902488708,
-0.6239806413650513,
-0.4909670650959015,
0.2893373370170593,
-0.2813090682029724,
0.06138443946838379,
0.016535194590687752,
-0.26014024019241333,
0.19389960169792175,
-0.15522293746471405,
0.037598881870508194,
-0.1745579093694687,
-0.10408509522676468,
0.046573419123888016,
-0.3616587817668915,
-0.16067248582839966,
-0.4154684245586395,
-0.11438293009996414,
0.23246842622756958,
-0.08507445454597473,
-0.042574670165777206,
-0.23878824710845947,
0.048095088452100754,
-0.1275748461484909,
0.09415790438652039,
0.22289180755615234,
0.17515960335731506,
-0.22287115454673767,
0.09907539188861847,
-0.03677685931324959,
-0.26462939381599426,
0.1948920339345932,
0.33807289600372314,
0.4272564649581909,
0.1778102070093155,
0.016580432653427124,
0.17279298603534698,
0.7245492339134216,
0.2591904103755951,
0.05576436594128609,
0.150517076253891,
0.30706313252449036,
0.03356916829943657,
0.14654755592346191,
-0.23375490307807922,
0.24164269864559174,
-0.16472817957401276,
0.5056423544883728,
0.09843334555625916,
0.17190153896808624,
-0.2043496072292328,
-0.28388074040412903,
-0.012782560661435127,
-0.2579224109649658,
-0.1879766881465912,
0.26838430762290955,
-0.22223544120788574,
0.020278485491871834,
-0.05537892505526543,
-0.3724340796470642,
-0.2528824508190155,
-0.042795561254024506,
0.017948057502508163,
0.3158904016017914,
-0.030992304906249046,
0.15221843123435974,
-0.3451536297798157,
-0.0411999449133873,
-0.4830806255340576,
0.1510532945394516,
0.08815208077430725,
0.2757003605365753,
-0.08164861053228378,
-0.07314757257699966,
-0.1406983882188797,
0.10453727096319199,
0.5943599343299866,
-0.5221494436264038,
-0.16565921902656555,
0.09090524911880493,
0.0804269015789032,
-0.09018903225660324,
-0.08775381743907928,
-0.2720242440700531,
-0.04363035038113594,
0.44831594824790955,
0.36958083510398865,
-0.36920517683029175,
-0.31362152099609375,
0.25652027130126953,
-0.18059851229190826,
-0.031666871160268784,
-0.199013814330101,
-0.18238654732704163,
-0.1892317533493042,
-0.1420619934797287,
0.032154180109500885,
0.18435074388980865,
0.21136410534381866,
-0.10405104607343674,
0.1773526966571808,
-0.0519658625125885,
0.25296083092689514,
0.20239883661270142,
0.013077356852591038,
-0.04030042141675949,
0.22695480287075043,
0.1543976366519928,
0.03185997158288956,
-0.12105312943458557,
-0.2936055660247803,
0.09633102267980576,
-0.06996113061904907,
0.11004971712827682,
0.2714962363243103,
-0.0030551734380424023,
0.6472854614257812,
0.05717718228697777,
0.31057435274124146,
0.2889772355556488,
-0.12562067806720734,
0.059007491916418076,
-0.2301301211118698,
0.14177140593528748,
0.2295093685388565,
0.2583223283290863,
-0.1393100768327713,
-0.19662682712078094,
0.5935571193695068,
0.31629860401153564,
-0.07326284050941467,
0.38970208168029785,
-0.4620021879673004,
-0.2712932527065277,
0.25234127044677734,
0.027918420732021332,
0.6917434930801392,
-0.02594769559800625,
0.26716285943984985,
0.06503325700759888,
-0.3845381736755371,
0.6287998557090759,
-0.39091193675994873,
0.1575743556022644,
-0.07772570103406906,
-0.2354031801223755,
0.032601434737443924,
-0.09457404166460037,
-0.0697193443775177,
0.26830849051475525,
-0.3717157244682312,
0.34969374537467957,
0.47733697295188904,
-0.20441009104251862,
-0.05117984488606453,
0.5518012642860413,
-0.029192624613642693,
-0.40027934312820435,
-0.10723701119422913,
0.08906105160713196,
-0.2812136709690094,
0.10603366792201996,
-0.163366436958313,
-0.2763771712779999,
0.2486419677734375,
0.11350016295909882,
-0.27409279346466064,
0.11336208134889603,
-0.03516485169529915,
0.1855694204568863,
0.26483961939811707,
0.016313914209604263,
0.2512062191963196,
-0.17889244854450226,
-0.06662282347679138,
-0.15494702756404877,
-0.08863630890846252,
0.1312912255525589,
-0.14661245048046112,
0.05025870352983475,
0.03055552951991558,
-0.20452803373336792,
0.5105487108230591,
-0.07615143805742264,
-0.10789072513580322,
-0.24377934634685516,
0.244764506816864,
-0.43671685457229614,
-0.1542506217956543,
0.11010678857564926,
0.168225958943367,
0.21321596205234528,
-0.3162398636341095,
0.6001379489898682,
0.08641368895769119,
-0.009584017097949982,
0.055802371352910995,
0.17730115354061127,
-0.23682624101638794,
0.4851782023906708,
-0.2578953504562378,
-0.004609816242009401,
0.052440181374549866,
0.010878310538828373,
-0.16225440800189972,
-0.37275442481040955,
-0.03353330120444298,
0.2981375455856323,
0.0863661840558052,
-0.016165120527148247,
-0.002981772879138589,
0.10210438817739487,
-0.07975661009550095,
-0.0030079155694693327,
-0.15544813871383667,
-0.3322069048881531,
0.11653779447078705,
0.14724449813365936,
0.1947060227394104,
0.16701354086399078,
-0.05395311862230301,
-0.24001483619213104,
-0.1859925240278244,
0.46923404932022095,
0.04061912000179291,
0.2234194427728653,
-0.1361563801765442,
0.3405205011367798,
0.42906028032302856,
0.5344378352165222,
-0.28160959482192993,
0.07217354327440262,
0.032790567725896835,
0.08643452078104019,
0.48312050104141235,
-0.23492644727230072,
0.07466652989387512,
0.27867862582206726,
-0.11924906075000763,
0.04919916018843651,
-0.34023603796958923,
-0.17272847890853882,
-0.25473615527153015,
0.09835324436426163,
0.11223389953374863,
-0.0018388299504294991,
0.00541333481669426,
-0.061273135244846344,
-0.07910183817148209,
-0.08158956468105316,
0.016571475192904472,
-0.3894312381744385,
-0.06932209432125092,
0.15564671158790588,
-0.11541114002466202,
0.015997860580682755,
0.05923876166343689,
0.20302237570285797,
0.009793905541300774,
-0.05242832377552986,
0.2911643087863922,
0.1270984262228012,
0.1111840307712555,
-0.19097968935966492,
-0.17631743848323822,
0.004692028276622295,
0.21382662653923035,
0.14815224707126617,
-0.02907835692167282,
0.16041800379753113,
-0.2343686819076538,
-0.14009541273117065,
0.2342924177646637,
0.14868582785129547,
0.020620213821530342,
-0.12043069303035736,
0.10565533488988876,
0.14062292873859406,
-0.12489914149045944,
-0.028531499207019806,
0.1781449317932129,
0.11084775626659393,
0.136631578207016,
0.11059911549091339,
0.1587066799402237,
0.4499141573905945,
-0.21001610159873962,
0.025973504409193993,
0.1152660921216011,
-0.36859607696533203,
0.12917551398277283,
-0.1154741570353508,
-0.04045641049742699,
0.0053083086386322975,
0.14748279750347137,
-0.011129156686365604,
0.13959269225597382,
-0.3216474950313568,
0.30607345700263977,
0.30969545245170593,
-0.02371235564351082,
0.058645982295274734,
0.23911476135253906,
0.014807509258389473,
-0.13310997188091278,
0.3046792149543762,
0.01857638545334339,
0.31923991441726685,
0.042773354798555374,
0.8754273653030396,
-0.27222734689712524,
-0.45505979657173157,
0.10648257285356522,
0.4365844428539276,
0.032111313194036484,
-0.21552824974060059,
0.15521696209907532,
0.09118610620498657,
-0.4059763550758362,
0.12097818404436111,
0.05810832232236862,
-0.16374598443508148,
0.6574726700782776,
-0.11649464815855026,
0.16466756165027618,
-0.15811505913734436,
-0.14994023740291595,
0.35239651799201965,
0.19673563539981842,
-0.09543825685977936,
0.010715498588979244,
0.11992550641298294,
-0.11069333553314209,
-0.16985248029232025,
0.5139837861061096,
0.2285720407962799,
0.03479337692260742,
-0.4124753475189209,
0.037352025508880615,
0.1071360632777214,
0.14290305972099304,
-0.07321161776781082,
0.13803668320178986,
0.4449816346168518,
-0.18126708269119263,
0.2542765736579895,
0.03678722679615021,
-0.07882057130336761,
-0.1354016214609146,
0.043384332209825516,
-0.38847383856773376,
-0.39733758568763733,
0.45656660199165344,
0.10967732965946198,
-0.11010126024484634,
0.04526491090655327,
0.3207000195980072,
-0.6264183521270752,
-0.2374822050333023,
0.3614813983440399,
-0.13628998398780823,
-0.050093259662389755,
-0.24483540654182434,
0.08715888112783432,
0.08407583087682724,
0.6122644543647766,
0.2146088182926178,
0.353493869304657,
-0.40171435475349426,
-0.14038510620594025,
-0.5742546319961548,
-0.21603325009346008,
0.17194122076034546,
-0.07661692798137665,
-0.25840142369270325,
0.14676734805107117,
-0.06859195977449417,
0.2895055115222931,
-0.2140117883682251,
0.11786480993032455,
0.17773236334323883,
0.027057355269789696,
-0.43053895235061646,
0.11578340828418732,
0.05879133567214012,
0.004421604797244072,
0.31976118683815,
-0.11052566021680832,
-0.17421768605709076,
0.08242619782686234,
-0.056964173913002014,
-0.09088997542858124,
-0.06792833656072617,
0.2378150075674057,
0.16779834032058716,
0.09648943692445755,
0.08136232197284698,
0.46605226397514343,
-0.04932507500052452,
-0.20165443420410156,
-0.008785558864474297,
0.012513049878180027,
-0.3770976960659027,
-0.16616779565811157,
-0.07718373835086823,
0.1801462024450302,
-0.334835022687912,
0.254971444606781,
-0.016634074971079826,
-0.08482349663972855,
0.11921888589859009,
0.018418781459331512,
-0.18934886157512665,
-0.049457862973213196,
0.0742049515247345,
0.19506916403770447,
0.22280582785606384,
0.7319663763046265,
-0.010562333278357983,
0.08575459569692612,
-0.0929856076836586,
-0.03421347588300705,
0.0708661824464798,
-0.052112411707639694,
-0.20773270726203918,
-0.13613715767860413,
0.024237556383013725,
0.09727275371551514,
0.13568124175071716,
-0.6967564225196838,
-0.33582937717437744,
0.014331682585179806,
-0.022863570600748062,
0.03177705034613609,
0.7183232307434082,
0.06665355712175369,
-0.14486569166183472,
-0.1175316646695137,
-0.29869967699050903,
0.05342429131269455,
-0.2820819318294525,
0.1892062872648239,
-0.34770864248275757
] |
https://github.com/huggingface/datasets/issues/217 | Multi-task dataset mixing | This is an interesting discussion indeed and it would be nice to make multi-task easier.
Probably the best would be to have a new type of dataset especially designed for that in order to easily combine and sample from the multiple datasets.
This way we could probably handle the combination of datasets with differing schemas as well (unlike T5). | It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
| 59 | Multi-task dataset mixing
It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
This is an interesting discussion indeed and it would be nice to make multi-task easier.
Probably the best would be to have a new type of dataset especially designed for that in order to easily combine and sample from the multiple datasets.
This way we could probably handle the combination of datasets with differing schemas as well (unlike T5). | [
-0.07760483026504517,
-0.43013614416122437,
-0.051281098276376724,
-0.007648616097867489,
-0.24152909219264984,
0.11484125256538391,
0.1743364930152893,
0.09231007844209671,
0.285217821598053,
-0.11796212196350098,
-0.24373626708984375,
0.27350908517837524,
-0.19464397430419922,
0.4169623553752899,
0.39820030331611633,
-0.456034392118454,
0.007996998727321625,
-0.21966670453548431,
-0.2606221139431,
0.3799695670604706,
0.041827648878097534,
0.0955592468380928,
-0.1473454236984253,
0.06278283149003983,
-0.29021939635276794,
-0.1371731162071228,
-0.34358662366867065,
0.08050740510225296,
0.10446877777576447,
0.03401508182287216,
0.19900530576705933,
0.37377819418907166,
0.008996821939945221,
0.10891860723495483,
-0.00011252854892518371,
-0.09094025939702988,
0.16050881147384644,
-0.07122159749269485,
0.13028468191623688,
-0.02305193617939949,
0.1236008033156395,
-0.3596465587615967,
0.06394360214471817,
-0.10716301202774048,
0.18151821196079254,
0.1867564618587494,
0.2017911970615387,
0.0839318186044693,
0.3181018829345703,
-0.315500408411026,
0.09998155385255814,
0.29038387537002563,
-0.1883256584405899,
0.28077974915504456,
-0.05406222492456436,
-0.06420397013425827,
0.0306809414178133,
0.22856402397155762,
0.6673135757446289,
-0.5304595828056335,
0.0446113683283329,
0.06839294731616974,
-0.027133867144584656,
0.04156392440199852,
0.11788813769817352,
-0.08518829196691513,
-0.3070951998233795,
-0.23946762084960938,
-0.3735044598579407,
0.28026261925697327,
-0.07192567735910416,
-0.10643959790468216,
-0.23320792615413666,
-0.533369243144989,
0.015733862295746803,
0.07696186006069183,
-0.295244961977005,
0.059608977288007736,
-0.16279707849025726,
-0.01917090453207493,
-0.12912997603416443,
-0.12187929451465607,
-0.001455985358916223,
0.1736188530921936,
0.308641642332077,
0.5555923581123352,
0.06791847199201584,
0.16606776416301727,
0.3354537785053253,
0.06970095634460449,
-0.0984867662191391,
-0.28932738304138184,
0.28367510437965393,
0.0658087208867073,
-0.4028248190879822,
-0.3567551076412201,
0.1301075965166092,
-0.2654320299625397,
0.2804775834083557,
0.1396418660879135,
0.16255934536457062,
0.09564366191625595,
-0.16685377061367035,
0.2518713176250458,
0.33976128697395325,
-0.022479169070720673,
-0.12287195026874542,
-0.13603028655052185,
0.017504345625638962,
-0.10887712240219116,
0.16654396057128906,
0.13610005378723145,
0.17564235627651215,
-0.018662475049495697,
-0.42686548829078674,
-0.11984287947416306,
-0.14647647738456726,
0.09820450097322464,
-0.1879584938287735,
-0.6031385660171509,
-0.09075374156236649,
-0.10779064893722534,
0.031006425619125366,
-0.15766018629074097,
-0.2877175807952881,
0.09265389293432236,
-0.10346339643001556,
0.24397864937782288,
-0.1317925602197647,
0.008540723472833633,
-0.048576995730400085,
0.06551449745893478,
-0.423929363489151,
-0.048491448163986206,
0.2941402792930603,
0.09935479611158371,
0.048311349004507065,
0.1649857759475708,
-0.0342780239880085,
0.1286846101284027,
0.4205945134162903,
0.029048264026641846,
0.014122365973889828,
-0.03673812001943588,
0.1730395406484604,
-0.3192977011203766,
-0.011867192573845387,
0.22267630696296692,
-0.3717392385005951,
-0.11837562173604965,
-0.16984780132770538,
-0.21736453473567963,
0.09760810434818268,
0.03343379497528076,
-0.21831905841827393,
-0.3184991478919983,
-0.4913881719112396,
0.712941586971283,
-0.04474186152219772,
-0.046462416648864746,
-0.16467730700969696,
0.2666390538215637,
-0.23226146399974823,
-0.0979924350976944,
0.16326270997524261,
0.08497123420238495,
0.013149724341928959,
-0.29495877027511597,
-0.093130923807621,
-0.1038350835442543,
-0.06481102108955383,
0.3017260730266571,
-0.1689356118440628,
0.21227331459522247,
0.06585868448019028,
0.13697485625743866,
0.24945685267448425,
-0.45365026593208313,
-0.04889877513051033,
0.33244872093200684,
-0.024968815967440605,
0.35705482959747314,
0.07683292776346207,
0.21231018006801605,
-0.0030687025282531977,
-0.2040671557188034,
0.1949269026517868,
1.0177953243255615,
-0.3952714800834656,
-0.021733995527029037,
-0.11022838950157166,
-0.3906150162220001,
0.5425782203674316,
0.3610698878765106,
0.06735029071569443,
-0.33101290464401245,
-0.13180582225322723,
-0.008706217631697655,
0.09087147563695908,
0.07975579053163528,
0.04832073301076889,
-0.06289375573396683,
-0.3434605300426483,
0.04504111781716347,
-0.2458025962114334,
-0.19731979072093964,
-0.41920289397239685,
-0.02027900703251362,
0.01695721410214901,
0.2923034131526947,
0.3340207040309906,
-0.10002617537975311,
0.2713525891304016,
-0.30399465560913086,
-0.15376164019107819,
-0.3133300840854645,
0.1197587177157402,
-0.00561920739710331,
0.03799621760845184,
-0.24834011495113373,
-0.030675068497657776,
0.3191802203655243,
0.09926758706569672,
-0.13511922955513,
-0.4337625801563263,
0.3398182690143585,
-0.047642629593610764,
0.04676089435815811,
-0.046398308128118515,
0.6206659078598022,
-0.1988632082939148,
-0.091585673391819,
0.17018118500709534,
0.2487032115459442,
-0.3234957754611969,
0.2560332715511322,
0.32414066791534424,
0.35003411769866943,
0.1919659674167633,
-0.08836990594863892,
0.08618849515914917,
-0.012060612440109253,
-0.05773824825882912,
-0.1945427507162094,
-0.08406363427639008,
0.4658958613872528,
-0.18547096848487854,
0.41023874282836914,
-0.053562261164188385,
0.01475467812269926,
-0.19410163164138794,
-0.05506950989365578,
-0.18381237983703613,
0.410701185464859,
0.3079739212989807,
-0.19726142287254333,
0.33659157156944275,
-0.11086128652095795,
-0.3630489110946655,
0.19674399495124817,
0.1851436048746109,
0.05677737668156624,
0.07615210860967636,
-0.032488953322172165,
-0.01916598528623581,
-0.29046374559402466,
-0.11108561605215073,
0.4045727550983429,
0.6323988437652588,
0.2805095911026001,
0.11706043779850006,
-0.021244529634714127,
-0.250074565410614,
-0.10282382369041443,
0.011356702074408531,
0.2060648500919342,
-0.01684323325753212,
0.1502837836742401,
0.04689272120594978,
0.0736096128821373,
0.04397176206111908,
-0.14593523740768433,
0.19349056482315063,
-0.17940062284469604,
-0.049568526446819305,
0.0246107317507267,
-0.19285333156585693,
-0.565240740776062,
-0.21911394596099854,
0.043787963688373566,
-0.3279033303260803,
-0.30137449502944946,
0.15034201741218567,
0.053340278565883636,
-0.176954984664917,
0.15528932213783264,
0.17466263473033905,
0.5224672555923462,
-0.44439440965652466,
-0.23384326696395874,
-0.06413089483976364,
-0.2828475832939148,
-0.08073630928993225,
0.11607662588357925,
0.49301403760910034,
0.28585025668144226,
0.45890289545059204,
0.2643531262874603,
-0.04553234577178955,
0.003795946016907692,
-0.3939478099346161,
0.029010996222496033,
-0.3069179952144623,
0.27917319536209106,
0.0830267146229744,
-0.2171400934457779,
0.1505551040172577,
-0.39499610662460327,
-0.06443852931261063,
-0.04882242903113365,
-0.07792926579713821,
-0.028693009167909622,
-0.02504764124751091,
0.08972270041704178,
-0.17804285883903503,
-0.2269403636455536,
-0.6084064245223999,
-0.4707540273666382,
0.2826780378818512,
-0.2821083962917328,
0.07274046540260315,
0.03876468166708946,
-0.2779347598552704,
0.15081925690174103,
-0.15593421459197998,
0.028028614819049835,
-0.15452177822589874,
-0.1129903793334961,
-0.018640007823705673,
-0.36685502529144287,
-0.159623920917511,
-0.41231489181518555,
-0.07378389686346054,
0.22635845839977264,
-0.0729171633720398,
-0.04983562231063843,
-0.22019991278648376,
0.06068329140543938,
-0.10324574261903763,
0.05648218095302582,
0.17424607276916504,
0.171852707862854,
-0.22455748915672302,
0.11065208166837692,
-0.041232429444789886,
-0.20303432643413544,
0.20850946009159088,
0.3692528307437897,
0.39855581521987915,
0.17247514426708221,
-0.04534241184592247,
0.1586776077747345,
0.6988725662231445,
0.22570137679576874,
0.07469514012336731,
0.19577351212501526,
0.300357848405838,
-0.008464815095067024,
0.14122061431407928,
-0.23328590393066406,
0.21620100736618042,
-0.1369471400976181,
0.49532949924468994,
0.11535341292619705,
0.15646055340766907,
-0.1784890741109848,
-0.2667299509048462,
0.05356646701693535,
-0.2868155241012573,
-0.18034467101097107,
0.2325088530778885,
-0.2959993779659271,
0.0018163897329941392,
-0.06489153206348419,
-0.4627395570278168,
-0.2831376791000366,
-0.049076251685619354,
-0.028592674061655998,
0.30236130952835083,
-0.018328126519918442,
0.162306547164917,
-0.3587016463279724,
-0.023968331515789032,
-0.35949310660362244,
0.16688688099384308,
0.09561176598072052,
0.25671523809432983,
-0.08165322989225388,
-0.045285165309906006,
-0.07541736215353012,
0.1324964016675949,
0.5941112637519836,
-0.5726916193962097,
-0.11468014121055603,
0.112262062728405,
0.06943973153829575,
-0.10702923685312271,
-0.1124657392501831,
-0.2531118094921112,
-0.02277839556336403,
0.4108986258506775,
0.3724684715270996,
-0.35121721029281616,
-0.335947722196579,
0.2770611643791199,
-0.17802587151527405,
-0.06660338491201401,
-0.1773483157157898,
-0.1805446296930313,
-0.1992291957139969,
-0.11174308508634567,
-0.015012826770544052,
0.22503121197223663,
0.23601850867271423,
-0.09397926181554794,
0.1691286414861679,
-0.11902878433465958,
0.2343083918094635,
0.1777767837047577,
-0.020016608759760857,
-0.08604403585195541,
0.21967290341854095,
0.19012922048568726,
0.04374001920223236,
-0.12046536803245544,
-0.28548550605773926,
0.09027766436338425,
-0.08531799167394638,
0.0410679392516613,
0.32314565777778625,
-0.01695922203361988,
0.6543559432029724,
0.0035479131620377302,
0.35406097769737244,
0.29701948165893555,
-0.15183062851428986,
0.035119399428367615,
-0.22525554895401,
0.15921857953071594,
0.19328385591506958,
0.26458102464675903,
-0.16709142923355103,
-0.22239522635936737,
0.5615090727806091,
0.323903888463974,
-0.041719160974025726,
0.39511552453041077,
-0.5345010757446289,
-0.2746390104293823,
0.2725147008895874,
0.029301423579454422,
0.6709384322166443,
-0.08567716926336288,
0.2816002070903778,
0.012769940309226513,
-0.4185323417186737,
0.6093616485595703,
-0.35631999373435974,
0.14552365243434906,
-0.07994025200605392,
-0.2315615564584732,
0.021089931949973106,
-0.07193577289581299,
-0.09989561140537262,
0.2743530571460724,
-0.34961915016174316,
0.3014124631881714,
0.4439023435115814,
-0.18051087856292725,
-0.03987286239862442,
0.5531432032585144,
-0.015312721021473408,
-0.3570755124092102,
-0.03860980644822121,
0.06670382618904114,
-0.2900905907154083,
0.07109297811985016,
-0.15476760268211365,
-0.25153324007987976,
0.24413533508777618,
0.19273681938648224,
-0.3443203568458557,
0.0698326826095581,
0.01897631399333477,
0.18553534150123596,
0.22446347773075104,
-0.0021209921687841415,
0.29660794138908386,
-0.16361679136753082,
-0.031092317774891853,
-0.15915141999721527,
-0.11198915541172028,
0.12094797939062119,
-0.18845416605472565,
0.004920710809528828,
0.04263301193714142,
-0.19619153439998627,
0.5082732439041138,
-0.05026707425713539,
-0.17390115559101105,
-0.2432447224855423,
0.277166485786438,
-0.46236884593963623,
-0.23436476290225983,
0.12246417999267578,
0.19409802556037903,
0.2181558907032013,
-0.31469687819480896,
0.5614801049232483,
0.12799659371376038,
-0.01107463613152504,
0.04455440863966942,
0.13490228354930878,
-0.2083812952041626,
0.4753072261810303,
-0.28534382581710815,
-0.025862539187073708,
0.06688446551561356,
-0.004448126070201397,
-0.09673965722322464,
-0.37176454067230225,
-0.04464844986796379,
0.31770825386047363,
0.16569313406944275,
-0.028410430997610092,
0.07400819659233093,
0.1382138431072235,
-0.0919288694858551,
-0.007477260194718838,
-0.16431015729904175,
-0.2981978952884674,
0.17177744209766388,
0.18262004852294922,
0.2225334793329239,
0.18226587772369385,
-0.07159313559532166,
-0.2359989434480667,
-0.12219997495412827,
0.4769056439399719,
-0.008986275643110275,
0.2460334300994873,
-0.13987435400485992,
0.38459840416908264,
0.43049702048301697,
0.5406709909439087,
-0.25706741213798523,
0.12530726194381714,
0.043342381715774536,
0.08136989921331406,
0.5019499659538269,
-0.22554437816143036,
0.038004714995622635,
0.27418315410614014,
-0.14212439954280853,
0.04171774163842201,
-0.2888586223125458,
-0.16853700578212738,
-0.2163936346769333,
0.11692991852760315,
0.12696069478988647,
0.024143647402524948,
0.03174271434545517,
-0.05489133670926094,
-0.12920565903186798,
-0.0581381693482399,
-0.010788447223603725,
-0.3781214952468872,
-0.04661114141345024,
0.1347699910402298,
-0.06214950606226921,
0.04813915863633156,
0.04555444419384003,
0.24881473183631897,
-0.0054840268567204475,
-0.0489119328558445,
0.3026912808418274,
0.11371728032827377,
0.13134901225566864,
-0.19243119657039642,
-0.2258504331111908,
-0.02276800200343132,
0.27811509370803833,
0.16005359590053558,
-0.08049104362726212,
0.15094336867332458,
-0.2103305459022522,
-0.14571769535541534,
0.19737198948860168,
0.10546549409627914,
0.06881015002727509,
-0.0883578211069107,
0.14663808047771454,
0.10758338123559952,
-0.07554765045642853,
0.013402373529970646,
0.19421444833278656,
0.0746556743979454,
0.07250716537237167,
0.10837621241807938,
0.1365598887205124,
0.47358953952789307,
-0.22609271109104156,
0.0031988718546926975,
0.12324982136487961,
-0.35941773653030396,
0.15418677031993866,
-0.08749885112047195,
-0.06692657619714737,
-0.031022604554891586,
0.1314770132303238,
-0.0590047650039196,
0.13142883777618408,
-0.3177984356880188,
0.31435203552246094,
0.2902786135673523,
-0.016615120694041252,
-0.023868974298238754,
0.2444927990436554,
0.03816697373986244,
-0.1479455828666687,
0.2975655496120453,
0.0424143448472023,
0.3625641465187073,
0.03182356432080269,
0.898205041885376,
-0.2870635688304901,
-0.4490215480327606,
0.08506857603788376,
0.44423046708106995,
0.09313908219337463,
-0.21840853989124298,
0.12272954732179642,
0.10584560036659241,
-0.33367180824279785,
0.12666074931621552,
0.027429604902863503,
-0.16793420910835266,
0.6969411373138428,
-0.08871020376682281,
0.13946978747844696,
-0.1556522250175476,
-0.16006018221378326,
0.3791298270225525,
0.15306228399276733,
-0.08720052987337112,
0.005124494433403015,
0.11803163588047028,
-0.11495508253574371,
-0.1713058203458786,
0.5400868654251099,
0.19663292169570923,
-0.016987159848213196,
-0.441108763217926,
-0.00291931233368814,
0.0928228572010994,
0.18584506213665009,
-0.00310856057330966,
0.11664769053459167,
0.4275524914264679,
-0.17765876650810242,
0.2757039964199066,
0.016501182690262794,
-0.042451582849025726,
-0.12721534073352814,
0.04194430634379387,
-0.39963585138320923,
-0.44053196907043457,
0.4334969222545624,
0.1266341358423233,
-0.10133050382137299,
0.12239079922437668,
0.3422192633152008,
-0.6254709362983704,
-0.21663473546504974,
0.3283933103084564,
-0.1351538449525833,
-0.09978533536195755,
-0.21278643608093262,
0.08299475908279419,
0.052062828093767166,
0.626800000667572,
0.2669466435909271,
0.3559400737285614,
-0.36786213517189026,
-0.10077381134033203,
-0.5913134813308716,
-0.1538391411304474,
0.15314769744873047,
-0.07130128890275955,
-0.22856473922729492,
0.1566452980041504,
-0.04573491960763931,
0.2795036733150482,
-0.1662362664937973,
0.1557861864566803,
0.22006599605083466,
0.06328561902046204,
-0.4629291892051697,
0.058169737458229065,
0.15672561526298523,
0.0008710448746569455,
0.2697933614253998,
-0.09562113136053085,
-0.18361033499240875,
0.10721495002508163,
-0.08659322559833527,
-0.1330372840166092,
-0.08308341354131699,
0.27850767970085144,
0.14434286952018738,
0.12579546868801117,
0.060522209852933884,
0.48311787843704224,
-0.013349862769246101,
-0.1953572779893875,
0.00032312431721948087,
-0.017219215631484985,
-0.36595985293388367,
-0.13347648084163666,
-0.1121906116604805,
0.16162455081939697,
-0.40695810317993164,
0.31124192476272583,
0.020268002524971962,
-0.11749874800443649,
0.07889232784509659,
0.08206035941839218,
-0.19863153994083405,
-0.10771983861923218,
0.09251314401626587,
0.1740236133337021,
0.22926786541938782,
0.7064042687416077,
-0.009655475616455078,
0.08157208561897278,
-0.08162645250558853,
-0.02464248239994049,
0.013805198483169079,
0.0019771098159253597,
-0.23659086227416992,
-0.09721981734037399,
0.035987768322229385,
0.04707091301679611,
0.14540311694145203,
-0.6879175305366516,
-0.3390016555786133,
0.07124500721693039,
0.008100426755845547,
0.060268107801675797,
0.7683094143867493,
0.13407014310359955,
-0.143321231007576,
-0.10919411480426788,
-0.3065090775489807,
0.028837883844971657,
-0.2758442163467407,
0.1856124997138977,
-0.33611053228378296
] |
https://github.com/huggingface/datasets/issues/217 | Multi-task dataset mixing | @thomwolf Are you suggesting making a wrapper class which can take existing datasets as arguments and do all the required sampling/combining, to present the same interface as a normal dataset?
That doesn't seem too complicated to implement.
| It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
| 37 | Multi-task dataset mixing
It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
@thomwolf Are you suggesting making a wrapper class which can take existing datasets as arguments and do all the required sampling/combining, to present the same interface as a normal dataset?
That doesn't seem too complicated to implement.
| [
-0.08985123783349991,
-0.3969317376613617,
-0.03166533261537552,
-0.03735226392745972,
-0.22644852101802826,
0.08738210052251816,
0.1969548612833023,
0.06602370738983154,
0.3327305018901825,
-0.13962101936340332,
-0.22614829242229462,
0.3318242132663727,
-0.20250579714775085,
0.3645176589488983,
0.40155625343322754,
-0.5019195079803467,
-0.00903159286826849,
-0.17320957779884338,
-0.3404359221458435,
0.34348350763320923,
0.015904292464256287,
0.08975981175899506,
-0.12996898591518402,
0.05399256572127342,
-0.265904039144516,
-0.1480942666530609,
-0.3480377197265625,
0.10398421436548233,
0.09025131165981293,
0.00020966396550647914,
0.2654457688331604,
0.3834894001483917,
-0.004184514284133911,
0.11468610912561417,
-0.0001109990116674453,
-0.10409476608037949,
0.17799261212348938,
-0.061887506395578384,
0.13401608169078827,
-0.022733453661203384,
0.2059173732995987,
-0.3741094470024109,
0.041295375674963,
-0.14299559593200684,
0.09510379284620285,
0.18651209771633148,
0.1486475020647049,
0.061315685510635376,
0.4389658272266388,
-0.3271811604499817,
0.1137162521481514,
0.27153128385543823,
-0.2127838283777237,
0.2160601168870926,
-0.10353539884090424,
-0.0817168578505516,
0.03618598356842995,
0.294839471578598,
0.6407869458198547,
-0.5255510807037354,
-0.026187967509031296,
0.09548573195934296,
-0.02736244723200798,
-0.02691737376153469,
0.16530920565128326,
-0.05579410865902901,
-0.35311025381088257,
-0.23468150198459625,
-0.39337629079818726,
0.2618134021759033,
-0.19633138179779053,
-0.1110711395740509,
-0.22825059294700623,
-0.5546971559524536,
0.043270938098430634,
0.05650657042860985,
-0.3279976546764374,
0.04984421283006668,
-0.16306190192699432,
0.015065819956362247,
-0.16031573712825775,
-0.1137707307934761,
-0.035134896636009216,
0.15094515681266785,
0.3342219293117523,
0.5391830801963806,
0.0717264860868454,
0.18103110790252686,
0.3762325942516327,
0.06643190234899521,
-0.1559692770242691,
-0.25584742426872253,
0.26040151715278625,
0.1465931534767151,
-0.300144225358963,
-0.38151079416275024,
0.1029033213853836,
-0.20207493007183075,
0.2648245692253113,
0.16467426717281342,
0.09348071366548538,
0.12698085606098175,
-0.11747182905673981,
0.28201189637184143,
0.3259015381336212,
-0.0005840566009283066,
-0.05843743309378624,
-0.08932558447122574,
0.0330900102853775,
-0.0813913643360138,
0.16326574981212616,
0.12141142785549164,
0.17396438121795654,
0.061765316873788834,
-0.4309350252151489,
-0.12424056231975555,
-0.20832139253616333,
0.1426924467086792,
-0.126838818192482,
-0.5166338086128235,
-0.06742701679468155,
-0.08390867710113525,
0.06903038918972015,
-0.0892474427819252,
-0.30100715160369873,
0.11446855962276459,
-0.022935623303055763,
0.21466897428035736,
-0.06969887763261795,
0.014182898215949535,
-0.05495680496096611,
0.11815588921308517,
-0.4216562807559967,
-0.016975609585642815,
0.3122235834598541,
0.09955655783414841,
0.09712197631597519,
0.17393361032009125,
-0.07775605469942093,
0.12298405170440674,
0.42270317673683167,
0.029997248202562332,
0.028817351907491684,
-0.0377977229654789,
0.14484618604183197,
-0.32560497522354126,
-0.0064032720401883125,
0.18319672346115112,
-0.3624859154224396,
-0.15414012968540192,
-0.09662557393312454,
-0.16510240733623505,
0.12379063665866852,
0.059437792748212814,
-0.22519667446613312,
-0.2789829671382904,
-0.3781821131706238,
0.729292631149292,
-0.06950287520885468,
-0.061432428658008575,
-0.172153040766716,
0.29769429564476013,
-0.25143373012542725,
-0.07137696444988251,
0.18124252557754517,
0.07104931026697159,
-0.03282120078802109,
-0.38990500569343567,
-0.10039648413658142,
-0.10813358426094055,
-0.07206184417009354,
0.26875007152557373,
-0.20015212893486023,
0.2165667712688446,
0.040044065564870834,
0.16750991344451904,
0.2588682472705841,
-0.4050794839859009,
-0.1015973761677742,
0.2870194911956787,
-0.037553898990154266,
0.385880708694458,
0.07683313637971878,
0.24547535181045532,
0.08919375389814377,
-0.17639228701591492,
0.2526645064353943,
1.0071953535079956,
-0.39769595861434937,
-0.0693170502781868,
-0.10972343385219574,
-0.3863369822502136,
0.5040088295936584,
0.36682891845703125,
0.10829998552799225,
-0.23684120178222656,
-0.149130716919899,
-0.05921320989727974,
0.06534463167190552,
0.04500467702746391,
0.10629868507385254,
-0.081968292593956,
-0.3427741527557373,
0.030671551823616028,
-0.21699653565883636,
-0.20223873853683472,
-0.36724212765693665,
-0.002258129185065627,
-0.0650896281003952,
0.3331250250339508,
0.37277641892433167,
-0.19358041882514954,
0.18135933578014374,
-0.2651146352291107,
-0.0785318911075592,
-0.2893357574939728,
0.13996616005897522,
-0.07206754386425018,
0.057969458401203156,
-0.2934384346008301,
-0.0477028451859951,
0.32401835918426514,
0.0663003996014595,
-0.0903622955083847,
-0.4725525379180908,
0.3164876103401184,
-0.0660732313990593,
0.041039735078811646,
-0.0641026571393013,
0.6213023066520691,
-0.16827817261219025,
-0.13204868137836456,
0.21507923305034637,
0.22514618933200836,
-0.3285652995109558,
0.21186058223247528,
0.33674418926239014,
0.24053128063678741,
0.17107154428958893,
-0.05437089875340462,
0.10397067666053772,
0.019159851595759392,
-0.012393715791404247,
-0.22969649732112885,
-0.1085934117436409,
0.5694276094436646,
-0.06802866607904434,
0.4326317608356476,
-0.02600567601621151,
0.042701829224824905,
-0.183145210146904,
-0.11107372492551804,
-0.24281013011932373,
0.38110750913619995,
0.29904991388320923,
-0.21203316748142242,
0.3523603677749634,
-0.05134269967675209,
-0.3553398847579956,
0.1363971084356308,
0.13285301625728607,
0.0007288824999704957,
0.08132301270961761,
0.018113886937499046,
-0.0639314204454422,
-0.24718452990055084,
-0.09759605675935745,
0.4116675555706024,
0.5995680093765259,
0.2978721857070923,
0.14136429131031036,
0.07985905557870865,
-0.25959134101867676,
-0.07501431554555893,
0.03891141712665558,
0.19106259942054749,
-0.07945368438959122,
0.15421098470687866,
0.010218946263194084,
0.05711266025900841,
-0.015599183738231659,
-0.09665288031101227,
0.12611635029315948,
-0.2244979590177536,
-0.025746598839759827,
0.040470022708177567,
-0.15040068328380585,
-0.5861167907714844,
-0.23188799619674683,
0.00516132777556777,
-0.3123072683811188,
-0.26452499628067017,
0.14035704731941223,
0.0393286794424057,
-0.17840610444545746,
0.1565386801958084,
0.18521888554096222,
0.6711629033088684,
-0.45885545015335083,
-0.22821243107318878,
-0.057080842554569244,
-0.2689543068408966,
-0.11032195389270782,
0.1257171481847763,
0.4261064827442169,
0.2776329219341278,
0.5188310146331787,
0.3089578151702881,
-0.0348958820104599,
0.06895487755537033,
-0.39623183012008667,
0.057826314121484756,
-0.26608580350875854,
0.31058469414711,
0.11345035582780838,
-0.22008152306079865,
0.17031830549240112,
-0.3742896318435669,
0.0022690151818096638,
-0.10265439748764038,
-0.03408007323741913,
-0.07405845075845718,
-0.04390879347920418,
0.082270048558712,
-0.2027611881494522,
-0.1946837157011032,
-0.6382985711097717,
-0.4739052951335907,
0.30521366000175476,
-0.21334022283554077,
0.0697750672698021,
0.0194583460688591,
-0.2589375376701355,
0.17852003872394562,
-0.13915301859378815,
-0.013688018545508385,
-0.194584921002388,
-0.1289622187614441,
0.01676088571548462,
-0.33759644627571106,
-0.16410097479820251,
-0.4051862955093384,
-0.20086124539375305,
0.22619332373142242,
-0.09001310169696808,
-0.06370017677545547,
-0.25243067741394043,
0.07718200981616974,
-0.12796762585639954,
0.11129260808229446,
0.21998296678066254,
0.15117621421813965,
-0.26820701360702515,
0.09364607185125351,
-0.02915448322892189,
-0.20805451273918152,
0.25715240836143494,
0.29497891664505005,
0.3784078359603882,
0.15610337257385254,
0.038204535841941833,
0.13332608342170715,
0.7063826322555542,
0.2446940690279007,
0.03195121884346008,
0.14577054977416992,
0.3078969717025757,
0.017254112288355827,
0.1577184498310089,
-0.22609028220176697,
0.1919374316930771,
-0.17036141455173492,
0.4489407241344452,
0.10616748780012131,
0.1941898614168167,
-0.20405130088329315,
-0.2649405896663666,
0.05006057769060135,
-0.2274237722158432,
-0.23034359514713287,
0.2668198049068451,
-0.1887030452489853,
0.011721063405275345,
-0.0904015377163887,
-0.3691737651824951,
-0.24698826670646667,
-0.022600578144192696,
0.016348861157894135,
0.2658742070198059,
-0.023195896297693253,
0.12559135258197784,
-0.4113301932811737,
-0.03634222224354744,
-0.4307921528816223,
0.18226023018360138,
0.07883033156394958,
0.26000627875328064,
-0.06049313396215439,
-0.07115352153778076,
-0.08951002359390259,
0.10068045556545258,
0.5856118202209473,
-0.5367434620857239,
-0.17423437535762787,
0.11988352239131927,
0.07640207558870316,
-0.14059586822986603,
-0.06939791887998581,
-0.2734319567680359,
-0.0443900004029274,
0.45053836703300476,
0.3297438621520996,
-0.35634878277778625,
-0.2867952287197113,
0.2995762228965759,
-0.172275573015213,
-0.09658363461494446,
-0.20668724179267883,
-0.1536155790090561,
-0.19949345290660858,
-0.13871638476848602,
0.054717954248189926,
0.18321509659290314,
0.1596936136484146,
-0.1042323186993599,
0.12230967730283737,
-0.11102616041898727,
0.21563111245632172,
0.19780443608760834,
0.009141841903328896,
-0.04508168622851372,
0.21428607404232025,
0.1789846420288086,
0.0323692262172699,
-0.14142338931560516,
-0.3413662016391754,
0.12961816787719727,
-0.06286953389644623,
0.12924735248088837,
0.23772482573986053,
-0.015323036350309849,
0.6900312900543213,
0.04273298382759094,
0.3528764843940735,
0.31852850317955017,
-0.10639546811580658,
0.009463205933570862,
-0.30537208914756775,
0.13097569346427917,
0.1652955710887909,
0.2444354146718979,
-0.11793605983257294,
-0.22836337983608246,
0.5872110724449158,
0.3297063708305359,
-0.08609943836927414,
0.3757956624031067,
-0.4737700819969177,
-0.31049031019210815,
0.32061317563056946,
0.048291679471731186,
0.735260009765625,
-0.020149990916252136,
0.29032987356185913,
0.060059141367673874,
-0.3805786073207855,
0.6396000981330872,
-0.34959062933921814,
0.1266002506017685,
-0.13993461430072784,
-0.2060180902481079,
0.00896663311868906,
-0.08151312172412872,
-0.061738207936286926,
0.2745799124240875,
-0.36089715361595154,
0.3065803647041321,
0.375642865896225,
-0.22479835152626038,
-0.026937691494822502,
0.5579147338867188,
-0.028486115857958794,
-0.40201860666275024,
-0.0726892277598381,
0.10170169919729233,
-0.2750028371810913,
0.06954915076494217,
-0.16664576530456543,
-0.2324201613664627,
0.2085060328245163,
0.1353929489850998,
-0.2649182081222534,
0.10901321470737457,
-0.021996289491653442,
0.15653330087661743,
0.2781084477901459,
0.021803172305226326,
0.27406957745552063,
-0.24619391560554504,
-0.08067683130502701,
-0.10604254901409149,
-0.08823495358228683,
0.13408689200878143,
-0.22274042665958405,
0.059132907539606094,
0.07656463235616684,
-0.16619180142879486,
0.5294390320777893,
-0.02933022379875183,
-0.10595626384019852,
-0.2020445466041565,
0.23767568171024323,
-0.4289614260196686,
-0.1612631231546402,
0.10507849603891373,
0.1949494481086731,
0.12262489646673203,
-0.3510899841785431,
0.5494361519813538,
0.0929960310459137,
-0.03074311837553978,
0.05949217081069946,
0.16084764897823334,
-0.2850426733493805,
0.46693816781044006,
-0.20441244542598724,
0.014505140483379364,
0.06675807386636734,
-0.034968819469213486,
-0.09817085415124893,
-0.3632011413574219,
-0.03582318127155304,
0.28807687759399414,
0.14274710416793823,
-0.045033156871795654,
0.008256521075963974,
0.17375124990940094,
-0.06492209434509277,
-0.0009053550311364233,
-0.1085994690656662,
-0.3678087592124939,
0.13817305862903595,
0.15505141019821167,
0.281816303730011,
0.20770123600959778,
-0.10849186778068542,
-0.248535618185997,
-0.22846585512161255,
0.4540197253227234,
0.08564242720603943,
0.24932026863098145,
-0.13096769154071808,
0.365329384803772,
0.40376004576683044,
0.5555804967880249,
-0.28828105330467224,
0.047474224120378494,
0.030074216425418854,
0.09261980652809143,
0.48831906914711,
-0.24070249497890472,
0.0004641004779841751,
0.2718995213508606,
-0.12661142647266388,
0.06990157067775726,
-0.3354584872722626,
-0.1801498383283615,
-0.27896958589553833,
0.10328452289104462,
0.1215909868478775,
0.004378876648843288,
0.019434597343206406,
-0.025179466232657433,
-0.09327104687690735,
-0.07621178776025772,
-0.032402656972408295,
-0.42004597187042236,
-0.059619929641485214,
0.1347336769104004,
-0.07899252325296402,
0.04574660211801529,
-0.004299607127904892,
0.21682484447956085,
-0.005198767874389887,
-0.04506275802850723,
0.2772456109523773,
0.08748000115156174,
0.14421898126602173,
-0.1765514612197876,
-0.14229975640773773,
0.006133316084742546,
0.30909624695777893,
0.10410713404417038,
-0.028175780549645424,
0.17523452639579773,
-0.20415693521499634,
-0.07347244024276733,
0.26419714093208313,
0.19137366116046906,
0.02827771008014679,
-0.06573760509490967,
0.12197926640510559,
0.15415143966674805,
-0.13383087515830994,
0.037421371787786484,
0.24652636051177979,
0.05280547961592674,
0.12569332122802734,
0.13203732669353485,
0.15263573825359344,
0.46163201332092285,
-0.22779308259487152,
-0.009582077153027058,
0.13401435315608978,
-0.3001977801322937,
0.16639317572116852,
-0.1424223631620407,
-0.003670151112601161,
-0.01884313113987446,
0.14483997225761414,
-0.030460041016340256,
0.17718985676765442,
-0.3630976676940918,
0.29315492510795593,
0.31418606638908386,
-0.012024300172924995,
0.04972655326128006,
0.21571582555770874,
0.01138595212250948,
-0.13010439276695251,
0.30930855870246887,
0.09537271410226822,
0.3369998633861542,
0.003113327082246542,
0.8959376811981201,
-0.3085145354270935,
-0.49877551198005676,
0.08208099752664566,
0.4227997958660126,
0.03482503071427345,
-0.19934344291687012,
0.08230806142091751,
0.12727220356464386,
-0.36981821060180664,
0.07597491890192032,
0.07843468338251114,
-0.18659283220767975,
0.6474289894104004,
-0.11679505556821823,
0.1635960340499878,
-0.170231431722641,
-0.20496180653572083,
0.3429819643497467,
0.15966182947158813,
-0.13731494545936584,
0.027702728286385536,
0.11107443273067474,
-0.06848183274269104,
-0.16262051463127136,
0.5162653923034668,
0.17436529695987701,
0.016103243455290794,
-0.44874638319015503,
0.04122581332921982,
0.05003609135746956,
0.15217266976833344,
-0.08710533380508423,
0.1192082092165947,
0.4416903555393219,
-0.16612043976783752,
0.24096085131168365,
0.038405004888772964,
-0.10613936185836792,
-0.15496858954429626,
0.014972071163356304,
-0.3957523703575134,
-0.4279158413410187,
0.44072356820106506,
0.12134957313537598,
-0.15100476145744324,
0.01822040230035782,
0.2517423629760742,
-0.6123272776603699,
-0.2271745800971985,
0.3545636236667633,
-0.17337313294410706,
-0.07675163447856903,
-0.22562633454799652,
0.08382952213287354,
0.03794892504811287,
0.6115514636039734,
0.21737945079803467,
0.3595838248729706,
-0.3842936158180237,
-0.17158165574073792,
-0.5617926716804504,
-0.18688637018203735,
0.1403198093175888,
-0.10462966561317444,
-0.2472451776266098,
0.16251933574676514,
-0.07911849766969681,
0.2967410981655121,
-0.22634322941303253,
0.12328333407640457,
0.22285376489162445,
-0.024598531424999237,
-0.41087043285369873,
0.12129580974578857,
0.12449554353952408,
0.021147744730114937,
0.31346964836120605,
-0.08089793473482132,
-0.2103290855884552,
0.07324425876140594,
-0.07079591602087021,
-0.03564102575182915,
-0.08734412491321564,
0.2631871700286865,
0.14747180044651031,
0.11267469823360443,
0.06292130053043365,
0.5086535215377808,
-0.026272673159837723,
-0.16295601427555084,
0.020117122679948807,
-0.04937873035669327,
-0.3885861337184906,
-0.12324826419353485,
-0.08058890700340271,
0.21543601155281067,
-0.3562215566635132,
0.2585201561450958,
0.004247428849339485,
-0.15498517453670502,
0.1442205160856247,
0.03260669857263565,
-0.25623148679733276,
-0.05825859680771828,
-0.012390286661684513,
0.21576166152954102,
0.21925528347492218,
0.7426391243934631,
0.02795422449707985,
0.0870673879981041,
-0.039152178913354874,
-0.009825315326452255,
0.08792926371097565,
-0.04098978638648987,
-0.22142843902111053,
-0.16324034333229065,
0.010918846353888512,
0.015441708266735077,
0.0981706976890564,
-0.664665162563324,
-0.36807212233543396,
0.04237062856554985,
-0.007606104481965303,
0.09818395972251892,
0.7144814133644104,
0.08214665949344635,
-0.14683640003204346,
-0.1454656571149826,
-0.27579164505004883,
0.034837283194065094,
-0.24518172442913055,
0.19327987730503082,
-0.3910036087036133
] |
https://github.com/huggingface/datasets/issues/217 | Multi-task dataset mixing | I guess we're looking at the end user writing something like:
``` python
ds = nlp.load_dataset('multitask-t5',datasets=["squad","cnn_dm",...], k=1000, t=2.0)
```
Using the t5 method of combining here (or this could be a function passed in as an arg)
Passing kwargs to each 'sub-dataset' might become tricky. | It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
| 45 | Multi-task dataset mixing
It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
I guess we're looking at the end user writing something like:
``` python
ds = nlp.load_dataset('multitask-t5',datasets=["squad","cnn_dm",...], k=1000, t=2.0)
```
Using the t5 method of combining here (or this could be a function passed in as an arg)
Passing kwargs to each 'sub-dataset' might become tricky. | [
-0.029287584125995636,
-0.39404410123825073,
-0.061029355973005295,
-0.025662757456302643,
-0.2608685791492462,
0.08258077502250671,
0.18105261027812958,
0.046955641359090805,
0.28684332966804504,
-0.15945376455783844,
-0.23304402828216553,
0.30905014276504517,
-0.20747140049934387,
0.38534143567085266,
0.3700453042984009,
-0.44683191180229187,
-0.007145015522837639,
-0.2071918249130249,
-0.26221829652786255,
0.3925703465938568,
0.03699687123298645,
0.11199021339416504,
-0.14147160947322845,
0.10980456322431564,
-0.30104613304138184,
-0.13675586879253387,
-0.33219122886657715,
0.10305850207805634,
0.11648905277252197,
0.018128585070371628,
0.2122899740934372,
0.36170345544815063,
-0.04755067825317383,
0.14389477670192719,
-0.000114972070150543,
-0.04456222802400589,
0.14054280519485474,
-0.07454642653465271,
0.12798701226711273,
-0.03853226453065872,
0.1727726012468338,
-0.38791537284851074,
0.06748553365468979,
-0.1346672773361206,
0.21632020175457,
0.15920692682266235,
0.1809331178665161,
0.06926102191209793,
0.4056929349899292,
-0.32851284742355347,
0.08759284019470215,
0.2849256992340088,
-0.19006940722465515,
0.34371352195739746,
-0.10634847730398178,
-0.10406813770532608,
0.03765282779932022,
0.25891387462615967,
0.5864786505699158,
-0.5919809937477112,
0.05316491797566414,
0.08587028086185455,
0.012978089973330498,
-0.03542965278029442,
0.1583544760942459,
-0.028579682111740112,
-0.3110811412334442,
-0.22444434463977814,
-0.41868332028388977,
0.18872550129890442,
-0.10443755239248276,
-0.15518999099731445,
-0.22152848541736603,
-0.5562816858291626,
-0.017073102295398712,
-0.0037982682697474957,
-0.3029250204563141,
-0.002131849527359009,
-0.1731027513742447,
-0.03949795290827751,
-0.14767633378505707,
-0.10621437430381775,
-0.051074832677841187,
0.15497130155563354,
0.3348461389541626,
0.570990264415741,
0.1295994520187378,
0.17109720408916473,
0.3198663592338562,
0.05387605354189873,
-0.13317269086837769,
-0.2922164499759674,
0.30810171365737915,
0.16428826749324799,
-0.36470818519592285,
-0.3597906231880188,
0.19177627563476562,
-0.25898098945617676,
0.23242586851119995,
0.09343254566192627,
0.12703311443328857,
0.08136384934186935,
-0.1447870284318924,
0.26923468708992004,
0.3316325545310974,
0.03686713054776192,
-0.10527118295431137,
-0.12733295559883118,
0.02876242995262146,
-0.1599452644586563,
0.23521646857261658,
0.09670281410217285,
0.1859353482723236,
-0.022178875282406807,
-0.39544323086738586,
-0.16337113082408905,
-0.13463498651981354,
0.14888383448123932,
-0.19198086857795715,
-0.5355587601661682,
-0.1626536250114441,
-0.13995623588562012,
0.04749845713376999,
-0.13046790659427643,
-0.3142296373844147,
0.07659965753555298,
-0.030082346871495247,
0.18955890834331512,
-0.14268624782562256,
0.12083211541175842,
-0.05264069885015488,
0.0712476372718811,
-0.448092520236969,
-0.046076834201812744,
0.2776447534561157,
0.1095258966088295,
0.08483029901981354,
0.13384349644184113,
0.01484078448265791,
0.12548094987869263,
0.40193817019462585,
0.03929232433438301,
-0.019936716184020042,
-0.03314149007201195,
0.1681915819644928,
-0.33171558380126953,
-0.0062630330212414265,
0.1757419854402542,
-0.35305988788604736,
-0.14903035759925842,
-0.1596110612154007,
-0.18683311343193054,
0.12111642956733704,
0.024497872218489647,
-0.22084037959575653,
-0.3201468884944916,
-0.4782353937625885,
0.676811933517456,
-0.027634670957922935,
-0.06473133713006973,
-0.16472378373146057,
0.2757854461669922,
-0.26916947960853577,
-0.12027699500322342,
0.1744776964187622,
0.04582813382148743,
0.0011192123638466,
-0.35605573654174805,
-0.06673283874988556,
-0.07920416444540024,
-0.07760521024465561,
0.25847098231315613,
-0.17129391431808472,
0.2623879611492157,
0.09088386595249176,
0.18576402962207794,
0.340880423784256,
-0.47314998507499695,
-0.022683197632431984,
0.29702964425086975,
-0.05563291907310486,
0.41089123487472534,
0.07046778500080109,
0.22796069085597992,
-0.08120576292276382,
-0.20891065895557404,
0.27190226316452026,
1.0307589769363403,
-0.3764420449733734,
-0.022222435101866722,
-0.09570217877626419,
-0.39040130376815796,
0.5535189509391785,
0.349433034658432,
0.0771399661898613,
-0.30797073245048523,
-0.10218024998903275,
-0.009633762761950493,
0.06673607230186462,
0.08410991728305817,
0.07473334670066833,
-0.08781152963638306,
-0.3393520712852478,
0.11391231417655945,
-0.2102670520544052,
-0.15189877152442932,
-0.35301411151885986,
0.03392346575856209,
0.024168020114302635,
0.3140192925930023,
0.2573537230491638,
-0.13017840683460236,
0.20869912207126617,
-0.28740137815475464,
-0.14865320920944214,
-0.2948302924633026,
0.1073915958404541,
-0.07125681638717651,
0.00028750274213962257,
-0.23797935247421265,
-0.03177603334188461,
0.30777207016944885,
0.13992391526699066,
-0.13622407615184784,
-0.4772074222564697,
0.2933182716369629,
-0.06322204321622849,
0.0578543022274971,
-0.05632811412215233,
0.6482886075973511,
-0.16215428709983826,
-0.06727863103151321,
0.1922089010477066,
0.32548752427101135,
-0.3306887447834015,
0.2363162338733673,
0.3137442469596863,
0.3130963444709778,
0.16561391949653625,
0.006151152774691582,
0.11799057573080063,
0.011639749631285667,
-0.001240299316123128,
-0.21448661386966705,
-0.09475599974393845,
0.5063753128051758,
-0.1947728991508484,
0.4248306453227997,
-0.023951204493641853,
-0.0024468558840453625,
-0.20531010627746582,
-0.01521735917776823,
-0.17521750926971436,
0.41539108753204346,
0.2906001806259155,
-0.23537106812000275,
0.29709139466285706,
-0.1605680286884308,
-0.3739417791366577,
0.17212192714214325,
0.17921577394008636,
0.018867095932364464,
0.03440403193235397,
-0.044534120708703995,
0.007732789497822523,
-0.27543920278549194,
-0.10600459575653076,
0.31868308782577515,
0.657733142375946,
0.2544582188129425,
0.13760951161384583,
0.06570440530776978,
-0.20216353237628937,
-0.05955953150987625,
0.0485227033495903,
0.21359162032604218,
-0.04889363422989845,
0.1590908020734787,
0.03624693676829338,
0.08083868771791458,
0.06211617588996887,
-0.1677285134792328,
0.13920889794826508,
-0.20449765026569366,
-0.11621721088886261,
0.054169945418834686,
-0.18401724100112915,
-0.6338436603546143,
-0.18930263817310333,
-0.009176885709166527,
-0.33165132999420166,
-0.2957566976547241,
0.13720200955867767,
0.055824633687734604,
-0.11464399844408035,
0.13877330720424652,
0.19704563915729523,
0.5815650224685669,
-0.4308137893676758,
-0.27685585618019104,
-0.036638468503952026,
-0.31371790170669556,
-0.10173463076353073,
0.10424836724996567,
0.43557342886924744,
0.29597708582878113,
0.5036945343017578,
0.2990524470806122,
-0.06889305263757706,
0.0986972376704216,
-0.4021720886230469,
0.06541711837053299,
-0.35339897871017456,
0.25852999091148376,
0.13582926988601685,
-0.22173327207565308,
0.14583013951778412,
-0.3897809386253357,
-0.05303405970335007,
-0.025670049712061882,
-0.07492654025554657,
-0.051337700337171555,
0.05406862497329712,
0.06931398808956146,
-0.19855529069900513,
-0.19036796689033508,
-0.6149933338165283,
-0.4419180452823639,
0.30627530813217163,
-0.2279975414276123,
0.08272510766983032,
0.06216733902692795,
-0.2821544110774994,
0.23458468914031982,
-0.08945883065462112,
0.025363445281982422,
-0.17027738690376282,
-0.05233953893184662,
0.010178900323808193,
-0.38480693101882935,
-0.14478403329849243,
-0.33935168385505676,
-0.0398954339325428,
0.22139869630336761,
-0.06605762243270874,
-0.029407810419797897,
-0.27509257197380066,
0.08280285447835922,
-0.08778967708349228,
0.07219158113002777,
0.26224297285079956,
0.16565261781215668,
-0.20603424310684204,
0.13177087903022766,
-0.08111463487148285,
-0.2719358503818512,
0.21034707129001617,
0.3302367031574249,
0.3737383782863617,
0.1844935566186905,
0.03631795942783356,
0.18707454204559326,
0.7639580965042114,
0.24814258515834808,
0.06307937949895859,
0.14840303361415863,
0.26118797063827515,
-0.012645027600228786,
0.16147364675998688,
-0.18826884031295776,
0.18401652574539185,
-0.17331543564796448,
0.52779221534729,
0.08122685551643372,
0.1695803999900818,
-0.14921729266643524,
-0.3321087956428528,
0.01802757754921913,
-0.31423673033714294,
-0.1845276653766632,
0.1901613026857376,
-0.27717265486717224,
0.017156021669507027,
-0.09102077782154083,
-0.4362218976020813,
-0.28573912382125854,
-0.03737962618470192,
-0.01700068823993206,
0.33567774295806885,
-0.006728252395987511,
0.17077027261257172,
-0.33540967106819153,
-0.043419066816568375,
-0.42174920439720154,
0.1442064642906189,
0.05830434709787369,
0.23728303611278534,
-0.08073758333921432,
-0.0721394494175911,
-0.10103435069322586,
0.11182735115289688,
0.5621082782745361,
-0.547377347946167,
-0.1090129017829895,
0.0950562059879303,
0.07976479083299637,
-0.12696290016174316,
-0.11654829233884811,
-0.29187890887260437,
0.020434679463505745,
0.42762985825538635,
0.37688013911247253,
-0.3781234323978424,
-0.2943044602870941,
0.2408280223608017,
-0.25395745038986206,
-0.07215525209903717,
-0.19330352544784546,
-0.24059031903743744,
-0.21128347516059875,
-0.12437959760427475,
-0.005925618577748537,
0.25360995531082153,
0.23441174626350403,
-0.12050193548202515,
0.18363426625728607,
-0.08123110234737396,
0.26042401790618896,
0.24369831383228302,
0.01038103736937046,
-0.11040768027305603,
0.24419310688972473,
0.17174606025218964,
0.03899581730365753,
-0.12102355062961578,
-0.35914623737335205,
0.09985493123531342,
-0.02167419157922268,
0.0665019229054451,
0.25530385971069336,
-0.0018160351319238544,
0.6958092451095581,
0.04607251659035683,
0.3278180658817291,
0.27770745754241943,
-0.14805732667446136,
-0.00294584222137928,
-0.22390872240066528,
0.1858537346124649,
0.23404690623283386,
0.2490612417459488,
-0.14151279628276825,
-0.2325431853532791,
0.5836408734321594,
0.307031512260437,
-0.0868648812174797,
0.438527375459671,
-0.4941883087158203,
-0.33374688029289246,
0.217090904712677,
0.02576558105647564,
0.7134877443313599,
-0.022532299160957336,
0.3297561705112457,
0.11808187514543533,
-0.41327327489852905,
0.5890749096870422,
-0.3362227976322174,
0.12408443540334702,
-0.05483739823102951,
-0.17275090515613556,
-0.011037340387701988,
-0.07591137290000916,
-0.1029583066701889,
0.20575636625289917,
-0.3488745391368866,
0.3369854688644409,
0.40350931882858276,
-0.2302367240190506,
-0.04739286005496979,
0.5434772372245789,
-0.014471161179244518,
-0.34057775139808655,
-0.0709589496254921,
0.0513051338493824,
-0.2821183502674103,
0.06947915256023407,
-0.21265488862991333,
-0.25520190596580505,
0.2105037420988083,
0.15928424894809723,
-0.2744204103946686,
0.06679617613554001,
0.00819696020334959,
0.2008344978094101,
0.22477585077285767,
0.035592272877693176,
0.2640017569065094,
-0.1730501651763916,
-0.10373202711343765,
-0.17674149572849274,
-0.06488734483718872,
0.10578814148902893,
-0.23131312429904938,
0.03633525222539902,
0.09533362835645676,
-0.15070948004722595,
0.49385008215904236,
-0.07441766560077667,
-0.10552598536014557,
-0.22589963674545288,
0.26180681586265564,
-0.4456820487976074,
-0.2548675537109375,
0.13174158334732056,
0.16105304658412933,
0.18171532452106476,
-0.32188642024993896,
0.5945079922676086,
0.08666719496250153,
0.05346466228365898,
0.018005885183811188,
0.1704840511083603,
-0.23972651362419128,
0.4645395278930664,
-0.32235202193260193,
0.00029913062462583184,
0.09918437898159027,
0.0001489784917794168,
-0.15183033049106598,
-0.41894495487213135,
-0.053586266934871674,
0.27482616901397705,
0.12449419498443604,
0.055340979248285294,
-0.016994597390294075,
0.11429919302463531,
-0.03799274191260338,
-0.05551130324602127,
-0.11189194023609161,
-0.2893208861351013,
0.1342903971672058,
0.24401602149009705,
0.17651277780532837,
0.19784779846668243,
-0.06045433133840561,
-0.2944519817829132,
-0.13006658852100372,
0.49924972653388977,
-0.016899898648262024,
0.23208317160606384,
-0.15137682855129242,
0.370862752199173,
0.41062846779823303,
0.4903720021247864,
-0.24310016632080078,
0.05704503133893013,
0.0985335037112236,
0.10004336386919022,
0.4676123559474945,
-0.22680513560771942,
0.04738747701048851,
0.2821197211742401,
-0.1461154967546463,
0.031245607882738113,
-0.35195863246917725,
-0.13588076829910278,
-0.249692901968956,
0.12456842511892319,
0.12881578505039215,
-0.028475750237703323,
0.028417155146598816,
-0.1112867072224617,
-0.10461067408323288,
-0.05775509774684906,
0.04444015026092529,
-0.36330121755599976,
-0.09757297486066818,
0.16149677336215973,
-0.09412873536348343,
0.08671180158853531,
0.05705199018120766,
0.20702902972698212,
0.06947289407253265,
-0.07310795783996582,
0.338720440864563,
0.12007114291191101,
0.08686436712741852,
-0.168158620595932,
-0.14083094894886017,
0.016439862549304962,
0.29555824398994446,
0.18031619489192963,
-0.06893280893564224,
0.14224347472190857,
-0.2093847244977951,
-0.19972921907901764,
0.2077009677886963,
0.20243225991725922,
0.03528764843940735,
-0.13023793697357178,
0.10691750049591064,
0.09648512303829193,
-0.06001567840576172,
-0.012907186523079872,
0.23015165328979492,
0.08779217302799225,
0.07244772464036942,
0.11680996417999268,
0.11368749290704727,
0.4800713062286377,
-0.2822706699371338,
0.03274897485971451,
0.09447178989648819,
-0.35945484042167664,
0.1163831278681755,
-0.08243781328201294,
-0.08555765450000763,
-0.01449133176356554,
0.12477091699838638,
0.00008960163540905342,
0.11933571100234985,
-0.3342016339302063,
0.32404932379722595,
0.2672711908817291,
0.015399129129946232,
0.015001093037426472,
0.1387520134449005,
0.04229051247239113,
-0.17318065464496613,
0.26796072721481323,
0.035019952803850174,
0.3751722574234009,
0.06041363254189491,
0.8366439342498779,
-0.21346993744373322,
-0.3915116488933563,
0.15799547731876373,
0.4222695231437683,
0.08762921392917633,
-0.21886064112186432,
0.13186529278755188,
0.09811283648014069,
-0.3754846453666687,
0.06979594379663467,
0.05699168145656586,
-0.1820816695690155,
0.6210576891899109,
-0.0859886035323143,
0.16826103627681732,
-0.11792000383138657,
-0.1851585954427719,
0.3580673933029175,
0.21875599026679993,
-0.07344881445169449,
-0.03960040211677551,
0.12822666764259338,
-0.0619417242705822,
-0.19880583882331848,
0.4743301272392273,
0.21330253779888153,
-0.0024092611856758595,
-0.48168686032295227,
0.033378731459379196,
0.1014532521367073,
0.17900317907333374,
0.0025962193030864,
0.13696503639221191,
0.4460620880126953,
-0.15025974810123444,
0.20349392294883728,
-0.007044513709843159,
-0.03401820361614227,
-0.13445653021335602,
0.06418414413928986,
-0.4029557406902313,
-0.4237152934074402,
0.4620606005191803,
0.11025909334421158,
-0.1495259553194046,
0.11755118519067764,
0.37620994448661804,
-0.629585862159729,
-0.26949140429496765,
0.3343757390975952,
-0.058231648057699203,
-0.08502030372619629,
-0.19609685242176056,
0.06549724191427231,
0.07512463629245758,
0.6126101613044739,
0.20807692408561707,
0.40820133686065674,
-0.3459770977497101,
-0.09671233594417572,
-0.5682125091552734,
-0.2036946564912796,
0.17174023389816284,
-0.15298110246658325,
-0.22418349981307983,
0.11838775873184204,
-0.06933377683162689,
0.27628403902053833,
-0.1890556365251541,
0.10309835523366928,
0.24528910219669342,
0.04982002079486847,
-0.4366210103034973,
0.08494287729263306,
0.19068244099617004,
0.04040239751338959,
0.2738914489746094,
-0.06394296884536743,
-0.22662203013896942,
0.0473252534866333,
-0.06836315244436264,
-0.0969073474407196,
-0.11419855803251266,
0.2681550681591034,
0.1839284598827362,
0.09595821797847748,
0.05707338824868202,
0.5114495158195496,
0.010969553142786026,
-0.1574939340353012,
0.0035757713485509157,
0.04371923580765724,
-0.3633822202682495,
-0.13569596409797668,
-0.09348233789205551,
0.1329883188009262,
-0.3916027545928955,
0.3226500153541565,
0.005707671400159597,
-0.07805079966783524,
0.09187620133161545,
0.0003347972815390676,
-0.12278418242931366,
-0.11219821870326996,
0.0437779575586319,
0.22140516340732574,
0.1861126720905304,
0.7520395517349243,
-0.0126851387321949,
0.13772766292095184,
-0.09494876861572266,
-0.00878309179097414,
0.027268320322036743,
-0.06434780359268188,
-0.2542925477027893,
-0.09406072646379471,
0.06744660437107086,
0.06809114664793015,
0.14320744574069977,
-0.6984320878982544,
-0.35412970185279846,
0.05046379566192627,
0.01615244336426258,
0.015999862924218178,
0.7800260186195374,
0.09473685920238495,
-0.13276302814483643,
-0.08945035934448242,
-0.36224648356437683,
0.0005289010587148368,
-0.22626951336860657,
0.16598664224147797,
-0.3741372227668762
] |
https://github.com/huggingface/datasets/issues/217 | Multi-task dataset mixing | From thinking upon @thomwolf 's suggestion, I've started experimenting:
```python
class MultitaskDataset(DatasetBuilder):
def __init__(self, *args, **kwargs):
super(MultitaskDataset, self).__init__(*args, **kwargs)
self._datasets = kwargs.get("datasets")
def _info(self):
return nlp.DatasetInfo(
description=_DESCRIPTION,
features=nlp.Features({
"source": nlp.Value("string"),
"target": nlp.Sequence(nlp.Value("string"))
})
)
def _get_common_splits(self):
'''Finds the common splits present in all self._datasets'''
min_set = None
for dataset in self._datasets:
if min_set != None:
min_set.intersection(set(dataset.keys()))
else:
min_set = set(dataset.keys())
return min_set
....
# Maybe this?:
squad = nlp.load_dataset("squad")
cnn_dm = nlp.load_dataset("cnn_dailymail","3.0.0")
multitask_dataset = nlp.load_dataset(
'multitask_dataset',
datasets=[squad,cnn_dailymail],
k=1000,
t=2.0
)
```
Does anyone know what methods of `MultitaskDataset` I would need to implement? Maybe `as_dataset` and `download_and_prepare`? Most of these should be just calling the methods of the sub-datasets.
I'm assuming DatasetBuilder is better than the more specific `GeneratorBasedBuilder`, `BeamBasedBuilder`, etc....
One of the other problems is that the dataset size is unknown till you construct it (as you can pick the sub-datasets). Am hoping not to need to make changes to `nlp.load_dataset` just for this class.
I'd appreciate it if anyone more familiar with nlp's internal workings could tell me if I'm on the right track! | It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
| 177 | Multi-task dataset mixing
It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
From thinking upon @thomwolf 's suggestion, I've started experimenting:
```python
class MultitaskDataset(DatasetBuilder):
def __init__(self, *args, **kwargs):
super(MultitaskDataset, self).__init__(*args, **kwargs)
self._datasets = kwargs.get("datasets")
def _info(self):
return nlp.DatasetInfo(
description=_DESCRIPTION,
features=nlp.Features({
"source": nlp.Value("string"),
"target": nlp.Sequence(nlp.Value("string"))
})
)
def _get_common_splits(self):
'''Finds the common splits present in all self._datasets'''
min_set = None
for dataset in self._datasets:
if min_set != None:
min_set.intersection(set(dataset.keys()))
else:
min_set = set(dataset.keys())
return min_set
....
# Maybe this?:
squad = nlp.load_dataset("squad")
cnn_dm = nlp.load_dataset("cnn_dailymail","3.0.0")
multitask_dataset = nlp.load_dataset(
'multitask_dataset',
datasets=[squad,cnn_dailymail],
k=1000,
t=2.0
)
```
Does anyone know what methods of `MultitaskDataset` I would need to implement? Maybe `as_dataset` and `download_and_prepare`? Most of these should be just calling the methods of the sub-datasets.
I'm assuming DatasetBuilder is better than the more specific `GeneratorBasedBuilder`, `BeamBasedBuilder`, etc....
One of the other problems is that the dataset size is unknown till you construct it (as you can pick the sub-datasets). Am hoping not to need to make changes to `nlp.load_dataset` just for this class.
I'd appreciate it if anyone more familiar with nlp's internal workings could tell me if I'm on the right track! | [
-0.04102901741862297,
-0.3800129294395447,
-0.05613596737384796,
-0.05533390864729881,
-0.22696149349212646,
0.03814494237303734,
0.19116327166557312,
0.028541920706629753,
0.3140309751033783,
-0.16932398080825806,
-0.21132950484752655,
0.3226816654205322,
-0.21177850663661957,
0.3609279692173004,
0.41081151366233826,
-0.40815508365631104,
0.049611303955316544,
-0.23854896426200867,
-0.30185458064079285,
0.3816815912723541,
0.0294326338917017,
0.11054202169179916,
-0.18156084418296814,
0.11165957152843475,
-0.27534806728363037,
-0.14701879024505615,
-0.3376018702983856,
0.1057681143283844,
0.12588585913181305,
0.00012284105469007045,
0.25411471724510193,
0.40501534938812256,
-0.06453417986631393,
0.16401495039463043,
-0.00011387033009668812,
-0.028973601758480072,
0.23698237538337708,
-0.0645473301410675,
0.1149069294333458,
-0.07505529373884201,
0.20829924941062927,
-0.4271640479564667,
0.05915255844593048,
-0.16756828129291534,
0.17296180129051208,
0.15671925246715546,
0.1583685427904129,
0.040026649832725525,
0.39363378286361694,
-0.2916634678840637,
0.10325055569410324,
0.28750234842300415,
-0.15446880459785461,
0.276138573884964,
-0.1251123547554016,
-0.047688078135252,
0.03673836588859558,
0.2582828998565674,
0.5602094531059265,
-0.6138654947280884,
0.003775055520236492,
0.11586428433656693,
0.001109798438847065,
0.004889032803475857,
0.15319642424583435,
-0.020795315504074097,
-0.3521723747253418,
-0.21768826246261597,
-0.4039084017276764,
0.18628573417663574,
-0.1451549530029297,
-0.20172235369682312,
-0.23753727972507477,
-0.5448269248008728,
0.004671125672757626,
0.006173090543597937,
-0.26987800002098083,
-0.01835896633565426,
-0.20179829001426697,
-0.06324586272239685,
-0.12326794117689133,
-0.08969506621360779,
-0.03366624936461449,
0.15525388717651367,
0.3182492256164551,
0.5842536687850952,
0.09058979898691177,
0.16732574999332428,
0.36797139048576355,
0.04139329865574837,
-0.15085774660110474,
-0.28049373626708984,
0.32753702998161316,
0.1458224356174469,
-0.3698492646217346,
-0.30306050181388855,
0.20416416227817535,
-0.23676463961601257,
0.2298242300748825,
0.10457225888967514,
0.09047602117061615,
0.11722009629011154,
-0.14798396825790405,
0.2619042694568634,
0.3045753240585327,
0.04612181335687637,
-0.0961487740278244,
-0.09544787555932999,
0.034676067531108856,
-0.08594369888305664,
0.19273564219474792,
0.11217852681875229,
0.18549828231334686,
-0.012384217232465744,
-0.3950420618057251,
-0.1339057981967926,
-0.12934337556362152,
0.16474437713623047,
-0.2152850478887558,
-0.4849032163619995,
-0.10857424885034561,
-0.11952312290668488,
0.11771396547555923,
-0.10458685457706451,
-0.30913496017456055,
0.09875573962926865,
-0.038953203707933426,
0.26127830147743225,
-0.13749782741069794,
0.1306162178516388,
-0.07104407250881195,
0.08409839123487473,
-0.4412373900413513,
-0.07710437476634979,
0.30592894554138184,
0.15183499455451965,
0.08070240914821625,
0.16790153086185455,
-0.001432355958968401,
0.12360367178916931,
0.38938167691230774,
0.015578439459204674,
0.0013976499903947115,
-0.000942085636779666,
0.13964281976222992,
-0.3161430060863495,
0.020422881469130516,
0.15890757739543915,
-0.3474515974521637,
-0.19030031561851501,
-0.11934749037027359,
-0.1685405820608139,
0.14057426154613495,
0.03215498477220535,
-0.20059575140476227,
-0.2385004311800003,
-0.4981873333454132,
0.7015710473060608,
-0.05721518397331238,
-0.0934595912694931,
-0.17591387033462524,
0.3037513494491577,
-0.24646325409412384,
-0.08007053285837173,
0.2119656205177307,
0.05763937905430794,
0.011350232176482677,
-0.3442132771015167,
-0.10541829466819763,
-0.09868159890174866,
-0.021547788754105568,
0.2500793933868408,
-0.1620028018951416,
0.2792709171772003,
0.05273359641432762,
0.20901469886302948,
0.2798384428024292,
-0.4821226894855499,
-0.06264195591211319,
0.25964367389678955,
-0.044114213436841965,
0.4229988157749176,
0.05807715654373169,
0.19613544642925262,
-0.026013467460870743,
-0.17014871537685394,
0.2901472747325897,
0.9980711340904236,
-0.34383928775787354,
-0.019432082772254944,
-0.10914522409439087,
-0.35987621545791626,
0.5201608538627625,
0.3251277208328247,
0.10994330793619156,
-0.2907426655292511,
-0.13588403165340424,
-0.015212993137538433,
0.12174703925848007,
0.07488232105970383,
0.0830933153629303,
-0.07177481055259705,
-0.34809327125549316,
0.06251148879528046,
-0.2146705836057663,
-0.1692681908607483,
-0.34028953313827515,
0.023376796394586563,
0.053741421550512314,
0.3371376097202301,
0.21158994734287262,
-0.14518533647060394,
0.1958480179309845,
-0.2553425133228302,
-0.14328379929065704,
-0.30226650834083557,
0.1462630331516266,
-0.06994912773370743,
0.013663031160831451,
-0.24087974429130554,
-0.0318981371819973,
0.3690547049045563,
0.11622243374586105,
-0.12677814066410065,
-0.49740028381347656,
0.3005133271217346,
-0.07422429323196411,
0.06661371141672134,
-0.03259013965725899,
0.6585516929626465,
-0.15063238143920898,
-0.08514700084924698,
0.18119415640830994,
0.2812552750110626,
-0.29423239827156067,
0.20129653811454773,
0.3036303222179413,
0.19760724902153015,
0.15173520147800446,
0.004687821492552757,
0.07329757511615753,
0.05224281921982765,
0.024796754121780396,
-0.23360484838485718,
-0.0985802635550499,
0.51006680727005,
-0.16134679317474365,
0.4522989094257355,
-0.028001848608255386,
0.02515815570950508,
-0.1460135579109192,
-0.02968272753059864,
-0.2038654386997223,
0.3801974952220917,
0.2894110083580017,
-0.18660062551498413,
0.32788321375846863,
-0.16236719489097595,
-0.3643944561481476,
0.1550499051809311,
0.13120156526565552,
0.012626302428543568,
0.05463068187236786,
-0.04349257051944733,
-0.013247989118099213,
-0.27911481261253357,
-0.10775308310985565,
0.3511255085468292,
0.6806014776229858,
0.23463626205921173,
0.19186392426490784,
0.06999512761831284,
-0.2855550944805145,
-0.07115644961595535,
0.0013606133870780468,
0.22168433666229248,
-0.040608156472444534,
0.16736474633216858,
0.06225522235035896,
0.04244364798069,
0.02196422964334488,
-0.15282703936100006,
0.15568017959594727,
-0.18520879745483398,
-0.0936625599861145,
0.10740393400192261,
-0.22168287634849548,
-0.5938891172409058,
-0.17749539017677307,
0.0022366594057530165,
-0.2878173887729645,
-0.30850136280059814,
0.10392793267965317,
0.0533197857439518,
-0.14587979018688202,
0.16206030547618866,
0.2049495428800583,
0.5456452369689941,
-0.42458295822143555,
-0.27564841508865356,
-0.041723042726516724,
-0.31425365805625916,
-0.11091036349534988,
0.10897129774093628,
0.45676758885383606,
0.3351975381374359,
0.4890904128551483,
0.3100687563419342,
-0.0816783607006073,
0.04969417303800583,
-0.4016467332839966,
0.04757334664463997,
-0.3254901170730591,
0.26705101132392883,
0.11735404282808304,
-0.2622731924057007,
0.16214051842689514,
-0.372204452753067,
-0.011827545240521431,
-0.08734909445047379,
-0.08597221970558167,
-0.021902495995163918,
-0.019531656056642532,
0.059149689972400665,
-0.21000787615776062,
-0.15615111589431763,
-0.6618933081626892,
-0.4537320137023926,
0.31900379061698914,
-0.2383415251970291,
0.08222025632858276,
0.059315700083971024,
-0.295493483543396,
0.2223706990480423,
-0.06498759984970093,
0.016360916197299957,
-0.17736470699310303,
-0.048844918608665466,
0.029317015781998634,
-0.3534870743751526,
-0.1780763864517212,
-0.3723650276660919,
-0.13820268213748932,
0.28022709488868713,
-0.06061975285410881,
-0.007123859599232674,
-0.2503639757633209,
0.09986142814159393,
-0.07900948077440262,
0.10570447146892548,
0.24656283855438232,
0.17851509153842926,
-0.23915883898735046,
0.1344873458147049,
-0.060159265995025635,
-0.264729380607605,
0.24683882296085358,
0.2817917466163635,
0.3843083679676056,
0.18339203298091888,
0.05993526801466942,
0.17080555856227875,
0.6879072785377502,
0.22980043292045593,
0.06567388772964478,
0.14727602899074554,
0.254945307970047,
0.019311072304844856,
0.1698751151561737,
-0.2620750665664673,
0.20821620523929596,
-0.21381095051765442,
0.4608762860298157,
0.045081764459609985,
0.16560126841068268,
-0.2366371750831604,
-0.29566049575805664,
0.02418248914182186,
-0.31385400891304016,
-0.21501585841178894,
0.1974213868379593,
-0.2264556586742401,
0.002459387294948101,
-0.07362595200538635,
-0.37921613454818726,
-0.28471294045448303,
-0.0331578329205513,
0.00451201805844903,
0.3330291211605072,
-0.0960414856672287,
0.11804516613483429,
-0.3570634722709656,
-0.031005756929516792,
-0.46974050998687744,
0.14145852625370026,
0.008327112533152103,
0.2584218382835388,
-0.050975501537323,
-0.07874026894569397,
-0.08971879631280899,
0.07503262907266617,
0.6008833050727844,
-0.4771219789981842,
-0.12468094378709793,
0.15265151858329773,
0.1111767590045929,
-0.1372944414615631,
-0.12630045413970947,
-0.2912557125091553,
0.046896953135728836,
0.46849584579467773,
0.37232547998428345,
-0.387547105550766,
-0.2634353041648865,
0.2291095107793808,
-0.2160625159740448,
-0.044988807290792465,
-0.19089001417160034,
-0.23585587739944458,
-0.2560034692287445,
-0.09917119145393372,
0.04424171522259712,
0.21777823567390442,
0.23202070593833923,
-0.12347611039876938,
0.2110004425048828,
-0.10897155106067657,
0.2612602114677429,
0.22022061049938202,
0.004205596167594194,
-0.027149712666869164,
0.20108677446842194,
0.1709839105606079,
0.038425084203481674,
-0.13986222445964813,
-0.37141937017440796,
0.1328182816505432,
0.00464691873639822,
0.078825443983078,
0.24406211078166962,
-0.007657051086425781,
0.6334800720214844,
0.07391361147165298,
0.2964062988758087,
0.2896260619163513,
-0.14868782460689545,
0.017744984477758408,
-0.2544415593147278,
0.19163605570793152,
0.24283245205879211,
0.2626420557498932,
-0.1403989940881729,
-0.2564392685890198,
0.590032696723938,
0.3069307208061218,
-0.09948931634426117,
0.4368518888950348,
-0.49968454241752625,
-0.3505486845970154,
0.2613227069377899,
0.02210071310400963,
0.6753666996955872,
0.005988419055938721,
0.31732314825057983,
0.16142134368419647,
-0.37519145011901855,
0.5796289443969727,
-0.3777526915073395,
0.1610085666179657,
-0.07037798315286636,
-0.14920993149280548,
0.004808472935110331,
-0.08049342781305313,
-0.0371193066239357,
0.22904394567012787,
-0.34711557626724243,
0.3315231502056122,
0.4464799761772156,
-0.20433221757411957,
-0.06858977675437927,
0.5156776309013367,
-0.023617764934897423,
-0.37427836656570435,
-0.12388738989830017,
0.07793392986059189,
-0.2607242166996002,
0.09877067059278488,
-0.15557418763637543,
-0.2480802983045578,
0.19329650700092316,
0.14641085267066956,
-0.2879005968570709,
0.10499077290296555,
0.030853280797600746,
0.23830029368400574,
0.2569221258163452,
0.009896501898765564,
0.216981902718544,
-0.19437547028064728,
-0.054442163556814194,
-0.15986984968185425,
-0.06007993221282959,
0.12273019552230835,
-0.20815414190292358,
0.08337409794330597,
0.08152738213539124,
-0.22250565886497498,
0.5000629425048828,
-0.053083084523677826,
-0.10866129398345947,
-0.24004176259040833,
0.2608029246330261,
-0.43278154730796814,
-0.18399779498577118,
0.1675369143486023,
0.16328534483909607,
0.2320406138896942,
-0.321902334690094,
0.6011399030685425,
0.1171332523226738,
-0.009043414145708084,
0.035241540521383286,
0.18379519879817963,
-0.27487900853157043,
0.5102382302284241,
-0.3566153645515442,
0.011908870190382004,
0.08584152162075043,
0.01222094614058733,
-0.14734922349452972,
-0.37615835666656494,
-0.032249532639980316,
0.29934772849082947,
0.0852387472987175,
0.03198632597923279,
-0.01090412586927414,
0.10516118258237839,
-0.03416301682591438,
-0.04484115540981293,
-0.09733852744102478,
-0.326081246137619,
0.12282904982566833,
0.18378686904907227,
0.17996643483638763,
0.17217276990413666,
-0.08546771109104156,
-0.2773149907588959,
-0.1805693358182907,
0.48039117455482483,
0.023019086569547653,
0.20212779939174652,
-0.15253081917762756,
0.35346758365631104,
0.41968733072280884,
0.5000759959220886,
-0.2531454861164093,
0.055512435734272,
0.07240857928991318,
0.07157958298921585,
0.4242963194847107,
-0.2460532784461975,
0.06022517755627632,
0.24505974352359772,
-0.12159831076860428,
0.04352067783474922,
-0.3518274128437042,
-0.14629240334033966,
-0.2637699544429779,
0.10850557684898376,
0.10938475281000137,
0.00038984668208286166,
0.0513630211353302,
-0.09670044481754303,
-0.09724676609039307,
-0.06615369766950607,
-0.01298169232904911,
-0.3419177830219269,
-0.07169052958488464,
0.1208123117685318,
-0.06952336430549622,
0.043189674615859985,
0.07352322340011597,
0.1863006204366684,
0.039544690400362015,
-0.07555142045021057,
0.3119194209575653,
0.09127143025398254,
0.1235489547252655,
-0.16061826050281525,
-0.13676145672798157,
0.020298222079873085,
0.2227635234594345,
0.15596750378608704,
-0.0428767055273056,
0.11895941942930222,
-0.20203469693660736,
-0.15555652976036072,
0.2734249532222748,
0.22079318761825562,
0.027456453070044518,
-0.1333657205104828,
0.13120338320732117,
0.11210913211107254,
-0.11988253146409988,
-0.025684459134936333,
0.23964129388332367,
0.08068180084228516,
0.10649394989013672,
0.12201182544231415,
0.11496614664793015,
0.4606333076953888,
-0.28958824276924133,
0.049498964101076126,
0.11247263848781586,
-0.3702647387981415,
0.11843647807836533,
-0.13738718628883362,
-0.010500718839466572,
0.02615814469754696,
0.14512287080287933,
-0.004540335386991501,
0.11539991199970245,
-0.24399881064891815,
0.3238443434238434,
0.30008357763290405,
-0.010188991203904152,
0.03903507813811302,
0.1394425332546234,
0.021483195945620537,
-0.17022641003131866,
0.2212379425764084,
-0.012151825241744518,
0.3521035611629486,
0.031932782381772995,
0.8429726958274841,
-0.30105841159820557,
-0.39671996235847473,
0.1265188753604889,
0.40005335211753845,
0.060758356004953384,
-0.23886413872241974,
0.1321716159582138,
0.10595063865184784,
-0.3579234182834625,
0.06069978326559067,
0.06416893750429153,
-0.15428325533866882,
0.6550420522689819,
-0.1400015652179718,
0.16470621526241302,
-0.17565381526947021,
-0.21197979152202606,
0.33194786310195923,
0.20278297364711761,
-0.07796867936849594,
-0.01160579826682806,
0.12744653224945068,
-0.060982391238212585,
-0.19573865830898285,
0.49206677079200745,
0.25489893555641174,
0.05156726390123367,
-0.4656880497932434,
0.007283030543476343,
0.09706360101699829,
0.1373627483844757,
-0.09356136620044708,
0.1530831754207611,
0.45377764105796814,
-0.15144921839237213,
0.20709183812141418,
0.004273405764251947,
-0.058435309678316116,
-0.09915976971387863,
0.08272409439086914,
-0.39912086725234985,
-0.4085474908351898,
0.5045669078826904,
0.060878004878759384,
-0.11606679111719131,
0.08093558996915817,
0.3370767831802368,
-0.6575292348861694,
-0.26047569513320923,
0.34948840737342834,
-0.08489368855953217,
-0.03731139004230499,
-0.22380822896957397,
0.07407920807600021,
0.07273732870817184,
0.6086324453353882,
0.16365914046764374,
0.37715280055999756,
-0.3970233201980591,
-0.10719913244247437,
-0.6464769840240479,
-0.21320606768131256,
0.09976034611463547,
-0.16706301271915436,
-0.26028192043304443,
0.13774213194847107,
-0.038987454026937485,
0.27516070008277893,
-0.2075423300266266,
0.05163273215293884,
0.2532150447368622,
0.02692098543047905,
-0.4563051462173462,
0.07905163615942001,
0.1370769441127777,
0.02010919898748398,
0.2837491035461426,
-0.07789786905050278,
-0.22131957113742828,
0.06585617363452911,
-0.056703925132751465,
-0.050493646413087845,
-0.08613960444927216,
0.277947336435318,
0.1756100058555603,
0.035993583500385284,
0.04806533083319664,
0.5123874545097351,
-0.022415723651647568,
-0.17422255873680115,
-0.026029085740447044,
0.028573179617524147,
-0.37258657813072205,
-0.1118156909942627,
-0.12267346680164337,
0.2113187313079834,
-0.3768765926361084,
0.27004823088645935,
0.016957731917500496,
-0.10174824297428131,
0.12268909811973572,
-0.009531861171126366,
-0.17500975728034973,
-0.021082447841763496,
0.04411695525050163,
0.22659964859485626,
0.21104493737220764,
0.7624978423118591,
-0.0001504886313341558,
0.17093849182128906,
-0.07620440423488617,
-0.06651189923286438,
0.07553702592849731,
-0.11749576032161713,
-0.2645830810070038,
-0.15456421673297882,
0.06485782563686371,
0.047523293644189835,
0.11066404730081558,
-0.7056501507759094,
-0.3468599021434784,
0.016169417649507523,
-0.01917714811861515,
0.05395888909697533,
0.7361039519309998,
0.07266077399253845,
-0.1439816653728485,
-0.13109447062015533,
-0.3231861889362335,
0.02054022066295147,
-0.23995502293109894,
0.1891360878944397,
-0.3676553964614868
] |
https://github.com/huggingface/datasets/issues/217 | Multi-task dataset mixing | I think I would probably go for a `MultiDataset` wrapper around a list of `Dataset`.
I'm not sure we need to give it `k` and `t` parameters at creation, it can maybe be something along the lines of:
```python
squad = nlp.load_dataset("squad")
cnn_dm = nlp.load_dataset("cnn_dailymail","3.0.0")
multitask_dataset = nlp.MultiDataset(squad, cnn_dm)
batch = multitask_dataset.sample(10, temperature=2.0, k=1000)
```
The first proof-of-concept for multi-task datasets could definitely require that the provided datasets have the same name/type for columns (if needed you easily rename/cast a column prior to instantiating the `MultiDataset`).
It's good to think about it for some time though and don't overfit too much on the T5 examples (in particular for the ways/kwargs for sampling among datasets). | It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
| 114 | Multi-task dataset mixing
It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
I think I would probably go for a `MultiDataset` wrapper around a list of `Dataset`.
I'm not sure we need to give it `k` and `t` parameters at creation, it can maybe be something along the lines of:
```python
squad = nlp.load_dataset("squad")
cnn_dm = nlp.load_dataset("cnn_dailymail","3.0.0")
multitask_dataset = nlp.MultiDataset(squad, cnn_dm)
batch = multitask_dataset.sample(10, temperature=2.0, k=1000)
```
The first proof-of-concept for multi-task datasets could definitely require that the provided datasets have the same name/type for columns (if needed you easily rename/cast a column prior to instantiating the `MultiDataset`).
It's good to think about it for some time though and don't overfit too much on the T5 examples (in particular for the ways/kwargs for sampling among datasets). | [
-0.03095950372517109,
-0.41867339611053467,
-0.039658013731241226,
-0.046870894730091095,
-0.22470249235630035,
0.09376367926597595,
0.1678377389907837,
0.03758658096194267,
0.2795368432998657,
-0.16709890961647034,
-0.22087904810905457,
0.334222674369812,
-0.2148641049861908,
0.3291552662849426,
0.4196424186229706,
-0.4405974745750427,
0.02405465580523014,
-0.2191534787416458,
-0.25798019766807556,
0.37987783551216125,
0.06556864082813263,
0.10199666768312454,
-0.16362515091896057,
0.05979249253869057,
-0.26799318194389343,
-0.1647084653377533,
-0.36144736409187317,
0.12241535633802414,
0.1369815319776535,
-0.01051545049995184,
0.21925088763237,
0.3853777348995209,
-0.02397017739713192,
0.11684691905975342,
-0.00011339465709170327,
-0.07660769671201706,
0.159489244222641,
-0.12002424895763397,
0.09108947962522507,
0.006583403330296278,
0.15462002158164978,
-0.42770883440971375,
0.07293473184108734,
-0.15843740105628967,
0.14493362605571747,
0.156585231423378,
0.14506776630878448,
-0.0069006639532744884,
0.4177410304546356,
-0.2556488513946533,
0.09768408536911011,
0.3037799000740051,
-0.16508737206459045,
0.27079740166664124,
-0.1420087367296219,
-0.06699206680059433,
0.02792990952730179,
0.22085760533809662,
0.6148955821990967,
-0.5899105072021484,
0.0041679940186440945,
0.07856754213571548,
-0.014349795877933502,
0.007405399810522795,
0.15548309683799744,
-0.02988414652645588,
-0.33571839332580566,
-0.26306936144828796,
-0.39329877495765686,
0.2161170393228531,
-0.13005776703357697,
-0.1769692301750183,
-0.2505916953086853,
-0.5384421348571777,
0.017067506909370422,
0.03541652485728264,
-0.29035377502441406,
0.031573157757520676,
-0.2046494334936142,
-0.05459129065275192,
-0.12335360795259476,
-0.10292137414216995,
-0.006522749084979296,
0.15645121037960052,
0.3066312074661255,
0.5719138979911804,
0.12777699530124664,
0.1712883859872818,
0.3525916337966919,
0.02389625459909439,
-0.14905187487602234,
-0.2875998318195343,
0.294041246175766,
0.16211551427841187,
-0.4089527428150177,
-0.35077908635139465,
0.13092657923698425,
-0.24935375154018402,
0.2844473123550415,
0.08810195326805115,
0.11836913228034973,
0.05591239035129547,
-0.13708645105361938,
0.28888919949531555,
0.30111274123191833,
0.03557567298412323,
-0.07668834179639816,
-0.12673504650592804,
0.021894125267863274,
-0.13308803737163544,
0.18895968794822693,
0.12626688182353973,
0.18178312480449677,
-0.00866074487566948,
-0.37493881583213806,
-0.13579273223876953,
-0.1604587584733963,
0.1738719940185547,
-0.1611003428697586,
-0.5166133642196655,
-0.11007855087518692,
-0.09324707090854645,
0.072165846824646,
-0.09246832877397537,
-0.29434049129486084,
0.07610074430704117,
-0.048854388296604156,
0.22475813329219818,
-0.0882171243429184,
0.052158620208501816,
-0.06363725662231445,
0.08743686228990555,
-0.4271281957626343,
-0.031100211665034294,
0.3111231327056885,
0.0953138917684555,
0.07913808524608612,
0.16832078993320465,
-0.009065762162208557,
0.10786441713571548,
0.42135143280029297,
0.02073696069419384,
-0.005291291046887636,
-0.0257207490503788,
0.2052460014820099,
-0.2978520393371582,
0.013125874102115631,
0.13944831490516663,
-0.34433069825172424,
-0.123369961977005,
-0.14080309867858887,
-0.16177302598953247,
0.1051672101020813,
0.026168093085289,
-0.2270698994398117,
-0.26348575949668884,
-0.47871291637420654,
0.7096788287162781,
-0.01631808653473854,
-0.04073549062013626,
-0.18003593385219574,
0.28762421011924744,
-0.26460000872612,
-0.11316076666116714,
0.22921176254749298,
0.10030703246593475,
-0.04390301555395126,
-0.2998161017894745,
-0.07132155448198318,
-0.08353041112422943,
-0.08975902199745178,
0.27883946895599365,
-0.19985716044902802,
0.22274592518806458,
0.06801257282495499,
0.1548844426870346,
0.30274003744125366,
-0.4629935622215271,
-0.03657873347401619,
0.2691686749458313,
-0.035777006298303604,
0.38466617465019226,
0.06560098379850388,
0.22492572665214539,
0.019382698461413383,
-0.2001308798789978,
0.2639881670475006,
1.0421267747879028,
-0.4086366593837738,
0.000942250422667712,
-0.09630386531352997,
-0.356860488653183,
0.5225278735160828,
0.34482264518737793,
0.05289280042052269,
-0.28935718536376953,
-0.14739477634429932,
-0.005419716704636812,
0.07239245623350143,
0.05815136060118675,
0.09516752511262894,
-0.03698837384581566,
-0.3416343331336975,
0.06954765319824219,
-0.22003605961799622,
-0.15002980828285217,
-0.44301092624664307,
0.019452031701803207,
0.04457903280854225,
0.343418151140213,
0.23521652817726135,
-0.13884542882442474,
0.2276785522699356,
-0.2906137704849243,
-0.13999618589878082,
-0.3124925494194031,
0.13172060251235962,
-0.05093533545732498,
0.03107062168419361,
-0.22076000273227692,
-0.035360340029001236,
0.36213135719299316,
0.1493372917175293,
-0.12701545655727386,
-0.48026639223098755,
0.3278312385082245,
-0.07594664394855499,
0.03664102405309677,
-0.027285726740956306,
0.6227855682373047,
-0.15069277584552765,
-0.07301894575357437,
0.19060467183589935,
0.2668914794921875,
-0.28597140312194824,
0.21143180131912231,
0.36122769117355347,
0.270976722240448,
0.17123492062091827,
-0.034092627465724945,
0.09529859572649002,
0.023809488862752914,
-0.005174029618501663,
-0.22024014592170715,
-0.08570516854524612,
0.523391604423523,
-0.17810837924480438,
0.41875627636909485,
-0.04507823288440704,
0.036600515246391296,
-0.13553018867969513,
-0.018147645518183708,
-0.19881540536880493,
0.4192892611026764,
0.2726355791091919,
-0.17454442381858826,
0.35942038893699646,
-0.139204204082489,
-0.34282928705215454,
0.16008496284484863,
0.155892476439476,
0.038506265729665756,
0.090784452855587,
-0.003108187345787883,
-0.048500318080186844,
-0.26149407029151917,
-0.10891565680503845,
0.3499150276184082,
0.6467790007591248,
0.2586946189403534,
0.13757553696632385,
0.013220284134149551,
-0.25058889389038086,
-0.06948143243789673,
0.031848080456256866,
0.1693364381790161,
-0.028486372902989388,
0.14386461675167084,
0.0615905299782753,
0.049080319702625275,
0.029332265257835388,
-0.17154966294765472,
0.18374226987361908,
-0.16221733391284943,
-0.0755690336227417,
0.07238379865884781,
-0.166484996676445,
-0.5669136047363281,
-0.22831463813781738,
0.0277330931276083,
-0.3815074563026428,
-0.288953572511673,
0.10477927327156067,
0.0514129176735878,
-0.12023938447237015,
0.18662749230861664,
0.20177355408668518,
0.5722048878669739,
-0.3877090513706207,
-0.29302388429641724,
-0.02914583310484886,
-0.3389907777309418,
-0.11456456035375595,
0.11243952065706253,
0.45572465658187866,
0.2603592872619629,
0.4842228293418884,
0.32592618465423584,
-0.03397210314869881,
0.046375956386327744,
-0.3984246850013733,
0.017643919214606285,
-0.3012907803058624,
0.2676163613796234,
0.07377493381500244,
-0.18586884438991547,
0.15339453518390656,
-0.40689218044281006,
-0.005613064859062433,
-0.021066704764962196,
-0.07087556272745132,
-0.05289338156580925,
0.004416038282215595,
0.09542001038789749,
-0.18347829580307007,
-0.19025947153568268,
-0.6412388682365417,
-0.4301626980304718,
0.2673932909965515,
-0.26016321778297424,
0.08659768104553223,
0.014041529037058353,
-0.2555759847164154,
0.17967815697193146,
-0.10786698013544083,
-0.002608138369396329,
-0.16347739100456238,
-0.03895273059606552,
0.04661223292350769,
-0.35634148120880127,
-0.1756976991891861,
-0.36977848410606384,
-0.11427297443151474,
0.24605445563793182,
-0.06947711110115051,
-0.024848200380802155,
-0.287604421377182,
0.09452791512012482,
-0.11205773800611496,
0.053056538105010986,
0.20907078683376312,
0.19394835829734802,
-0.22071024775505066,
0.13459722697734833,
-0.07369828224182129,
-0.2940366268157959,
0.23027558624744415,
0.272707462310791,
0.38758036494255066,
0.152955561876297,
0.07122144103050232,
0.17559200525283813,
0.7356219291687012,
0.2542083263397217,
0.018226446583867073,
0.15264922380447388,
0.2519253194332123,
-0.008517189882695675,
0.1782766580581665,
-0.24685481190681458,
0.17666277289390564,
-0.15473157167434692,
0.4875797629356384,
0.09875710308551788,
0.15080231428146362,
-0.24501726031303406,
-0.30623963475227356,
0.058926284313201904,
-0.26855406165122986,
-0.2171594202518463,
0.2424306422472,
-0.22875826060771942,
0.014071078039705753,
-0.08965998888015747,
-0.41623830795288086,
-0.2906382977962494,
-0.05388417840003967,
-0.022310050204396248,
0.3469153046607971,
-0.07768424600362778,
0.15731769800186157,
-0.34134066104888916,
-0.04604510962963104,
-0.4354317784309387,
0.14782841503620148,
0.07338923215866089,
0.28789299726486206,
-0.06971324235200882,
-0.02444002591073513,
-0.11077526211738586,
0.10292856395244598,
0.6152384281158447,
-0.5185811519622803,
-0.12251337617635727,
0.10406100004911423,
0.08391167968511581,
-0.1375816911458969,
-0.10161527246236801,
-0.26018163561820984,
0.014868251048028469,
0.4297329783439636,
0.33571842312812805,
-0.37738242745399475,
-0.2934282422065735,
0.17445822060108185,
-0.2098122090101242,
-0.08447550982236862,
-0.1624630093574524,
-0.25328338146209717,
-0.22844815254211426,
-0.12505638599395752,
0.041775889694690704,
0.2297196090221405,
0.22009973227977753,
-0.06440143287181854,
0.16535010933876038,
-0.10738155245780945,
0.20170758664608002,
0.21851950883865356,
0.02303250879049301,
-0.04001285508275032,
0.2556944489479065,
0.19773399829864502,
0.03954583778977394,
-0.1268983632326126,
-0.36823809146881104,
0.06594070047140121,
-0.05863909795880318,
0.06726883351802826,
0.25432857871055603,
-0.03158380836248398,
0.6494697332382202,
0.04232890531420708,
0.33929699659347534,
0.29567623138427734,
-0.17104026675224304,
0.00383656844496727,
-0.22791878879070282,
0.1694692075252533,
0.22283922135829926,
0.22636952996253967,
-0.15907929837703705,
-0.2618807256221771,
0.5629376769065857,
0.2996862232685089,
-0.07139312475919724,
0.45167842507362366,
-0.4898039698600769,
-0.3304510712623596,
0.26246377825737,
0.0708126649260521,
0.6956493854522705,
-0.06268035620450974,
0.29476606845855713,
0.07930520921945572,
-0.3640843331813812,
0.6168705224990845,
-0.36440685391426086,
0.15062405169010162,
-0.10622136294841766,
-0.1969083994626999,
0.012675273232161999,
-0.09358679503202438,
-0.0731007382273674,
0.2685151696205139,
-0.38254594802856445,
0.307796835899353,
0.42872586846351624,
-0.20226293802261353,
-0.02535995841026306,
0.5634382367134094,
0.056232914328575134,
-0.39850568771362305,
-0.15839365124702454,
0.06879642605781555,
-0.30815503001213074,
0.054364562034606934,
-0.16654208302497864,
-0.25808972120285034,
0.2257055789232254,
0.15583239495754242,
-0.30135032534599304,
0.06679005175828934,
-0.03523074835538864,
0.21778255701065063,
0.21286368370056152,
0.01526521798223257,
0.2679019570350647,
-0.11605995148420334,
-0.03785102814435959,
-0.1535062938928604,
-0.08397172391414642,
0.13552704453468323,
-0.19333329796791077,
0.03781455010175705,
0.018268408253788948,
-0.18674054741859436,
0.4988890290260315,
-0.06247991323471069,
-0.11852169036865234,
-0.21425122022628784,
0.2802071273326874,
-0.4461525082588196,
-0.1915704607963562,
0.14757540822029114,
0.17568407952785492,
0.19827388226985931,
-0.304949551820755,
0.5695930123329163,
0.10945088416337967,
0.011156787164509296,
0.03410428762435913,
0.21011927723884583,
-0.27115851640701294,
0.5002739429473877,
-0.2811298668384552,
0.009963661432266235,
0.10483988374471664,
0.025052066892385483,
-0.11265403032302856,
-0.38574904203414917,
-0.030786756426095963,
0.3170592486858368,
0.13859905302524567,
0.008726694621145725,
0.02852930687367916,
0.11237512528896332,
-0.06501560658216476,
-0.02706971764564514,
-0.1449051797389984,
-0.35135388374328613,
0.13187648355960846,
0.18006309866905212,
0.1875753104686737,
0.232990100979805,
-0.02897302620112896,
-0.2715381681919098,
-0.16603919863700867,
0.44810640811920166,
0.03526046499609947,
0.2099885642528534,
-0.1294512301683426,
0.3465990424156189,
0.4091411530971527,
0.5483705997467041,
-0.259594589471817,
0.07455850392580032,
0.055366747081279755,
0.11098060756921768,
0.4592457711696625,
-0.2511616349220276,
0.07607949525117874,
0.27714860439300537,
-0.12474231421947479,
0.03135412186384201,
-0.3204188346862793,
-0.15355819463729858,
-0.2497408092021942,
0.11093185842037201,
0.10442163795232773,
0.004201395902782679,
0.004018181003630161,
-0.10565141588449478,
-0.11311271041631699,
-0.08425271511077881,
-0.00029923015972599387,
-0.38162797689437866,
-0.059590961784124374,
0.12420312315225601,
-0.038066547363996506,
0.06506042927503586,
0.03687990456819534,
0.1877909004688263,
0.023435764014720917,
-0.10253800451755524,
0.3493967354297638,
0.11723912507295609,
0.10813342779874802,
-0.17780663073062897,
-0.16322283446788788,
0.0233441274613142,
0.2428954690694809,
0.1519826352596283,
-0.06412450224161148,
0.12868060171604156,
-0.24157734215259552,
-0.12066943198442459,
0.23631323873996735,
0.1691906899213791,
0.017448076978325844,
-0.10271228849887848,
0.13327576220035553,
0.11498119682073593,
-0.09520771354436874,
-0.035100195556879044,
0.27450188994407654,
0.07827569544315338,
0.1340380758047104,
0.14364270865917206,
0.0987599566578865,
0.47280073165893555,
-0.23880413174629211,
0.009598800912499428,
0.14305821061134338,
-0.352010041475296,
0.12352635711431503,
-0.1303716003894806,
-0.03644505888223648,
-0.011556494981050491,
0.10323693603277206,
-0.024381542578339577,
0.1411908119916916,
-0.2700303792953491,
0.28077471256256104,
0.3052043318748474,
0.0004444957594387233,
-0.033914100378751755,
0.22373414039611816,
0.05606937035918236,
-0.14373543858528137,
0.24643707275390625,
0.04788106307387352,
0.3264901638031006,
0.021484870463609695,
0.8898254632949829,
-0.2593217194080353,
-0.44537031650543213,
0.10914997011423111,
0.4276822507381439,
0.04372868314385414,
-0.20927801728248596,
0.14286822080612183,
0.10250186920166016,
-0.35283270478248596,
0.073243148624897,
0.06681445986032486,
-0.2198759764432907,
0.6501642465591431,
-0.10448949038982391,
0.21174609661102295,
-0.1332387924194336,
-0.1671053022146225,
0.39403867721557617,
0.1751192808151245,
-0.06507761031389236,
0.01570737548172474,
0.1436767280101776,
-0.12336242198944092,
-0.17897897958755493,
0.43864351511001587,
0.21286165714263916,
0.02780913934111595,
-0.46195387840270996,
0.06281668692827225,
0.09056834131479263,
0.14692993462085724,
-0.03955427184700966,
0.10659749805927277,
0.4349878132343292,
-0.15175749361515045,
0.2386014610528946,
0.013740160502493382,
-0.05349770560860634,
-0.19473090767860413,
0.07981132715940475,
-0.42988643050193787,
-0.3788128197193146,
0.47887900471687317,
0.06758588552474976,
-0.11323978006839752,
0.05943525582551956,
0.33388495445251465,
-0.6175374984741211,
-0.2591400146484375,
0.32679057121276855,
-0.09543346613645554,
-0.06627283245325089,
-0.19924728572368622,
0.07281950116157532,
0.06321022659540176,
0.6397787928581238,
0.17726370692253113,
0.3605991303920746,
-0.3750835955142975,
-0.12910133600234985,
-0.6346367597579956,
-0.15605154633522034,
0.11392433196306229,
-0.17616459727287292,
-0.2531372606754303,
0.1707489937543869,
-0.04700442776083946,
0.32274821400642395,
-0.2095470130443573,
0.09758244454860687,
0.2715466618537903,
0.02710801362991333,
-0.4724883437156677,
0.0400514155626297,
0.09500545263290405,
0.04796018823981285,
0.2817946672439575,
-0.0757131576538086,
-0.19103245437145233,
0.06382110714912415,
-0.06736105680465698,
-0.08385728299617767,
-0.11887863278388977,
0.2494053691625595,
0.17717045545578003,
0.06206126883625984,
0.03445291891694069,
0.5532026290893555,
0.01081832405179739,
-0.16162721812725067,
0.031094711273908615,
0.028595320880413055,
-0.3770720362663269,
-0.1337217539548874,
-0.08216767758131027,
0.20839688181877136,
-0.39294567704200745,
0.252956748008728,
-0.007655053399503231,
-0.02523532323539257,
0.1193833202123642,
0.011497118510305882,
-0.20174461603164673,
-0.02404620498418808,
0.08407945185899734,
0.2401800900697708,
0.2028205692768097,
0.7438049912452698,
-0.014433801174163818,
0.17315638065338135,
-0.08187635242938995,
-0.03745248168706894,
0.06602835655212402,
-0.13764019310474396,
-0.24784807860851288,
-0.13568295538425446,
0.0355520136654377,
0.062083568423986435,
0.12089275568723679,
-0.676857590675354,
-0.3293690085411072,
0.045108720660209656,
-0.0008662724867463112,
0.0040007405914366245,
0.74090576171875,
0.06504032760858536,
-0.11601396650075912,
-0.11704631894826889,
-0.3568645715713501,
0.03341871127486229,
-0.25153300166130066,
0.1817403882741928,
-0.371323823928833
] |
https://github.com/huggingface/datasets/issues/217 | Multi-task dataset mixing | The problem with changing `k` and `t` per sampling is that you'd have to somehow remember which examples you'd already returned while re-weighting the remaining examples based on the new `k` and `t`values. It seems possible but complicated (I can't really see a reason why you'd want to change the weighting of datasets after you constructed the multidataset).
Wouldn't it be convenient if it implemented the dataset interface? Then if someone has code using a single nlp dataset, they can replace it with a multitask combination of more datasets without having to change other code. We would at least need to be able to pass it into a `DataLoader`.
| It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
| 109 | Multi-task dataset mixing
It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
The problem with changing `k` and `t` per sampling is that you'd have to somehow remember which examples you'd already returned while re-weighting the remaining examples based on the new `k` and `t`values. It seems possible but complicated (I can't really see a reason why you'd want to change the weighting of datasets after you constructed the multidataset).
Wouldn't it be convenient if it implemented the dataset interface? Then if someone has code using a single nlp dataset, they can replace it with a multitask combination of more datasets without having to change other code. We would at least need to be able to pass it into a `DataLoader`.
| [
-0.08343596756458282,
-0.37729039788246155,
-0.05401250347495079,
-0.0832778736948967,
-0.212246835231781,
0.016944611445069313,
0.13349972665309906,
0.06816421449184418,
0.3124590218067169,
-0.02525966428220272,
-0.23778492212295532,
0.3599814772605896,
-0.15870462357997894,
0.3497791588306427,
0.38235917687416077,
-0.4798979163169861,
-0.03074454888701439,
-0.13304591178894043,
-0.3688003420829773,
0.38237258791923523,
0.0409013107419014,
0.09933431446552277,
-0.12265484035015106,
0.007462510373443365,
-0.23627148568630219,
-0.15221893787384033,
-0.3432963490486145,
0.09290074557065964,
0.18456177413463593,
-0.055031999945640564,
0.19634565711021423,
0.44995468854904175,
-0.017280584201216698,
0.05232072249054909,
-0.00011072369670728222,
-0.08731920272111893,
0.1317603588104248,
-0.1200200617313385,
0.049834415316581726,
0.0378306619822979,
0.21656598150730133,
-0.41172778606414795,
-0.06971439719200134,
-0.18803788721561432,
0.1087680533528328,
0.21512429416179657,
0.1830592155456543,
0.024412494152784348,
0.41552063822746277,
-0.32108643651008606,
0.12936988472938538,
0.3268473148345947,
-0.2219880223274231,
0.2345314472913742,
-0.0946439877152443,
-0.15330494940280914,
0.09412910044193268,
0.3127887547016144,
0.4916842579841614,
-0.547714352607727,
-0.06117946654558182,
0.14151182770729065,
0.007721433416008949,
0.05961744114756584,
0.10257232934236526,
-0.05151675269007683,
-0.3251843750476837,
-0.2065102756023407,
-0.3548212945461273,
0.29408180713653564,
-0.18114663660526276,
-0.1491723656654358,
-0.19877657294273376,
-0.5856713652610779,
0.060058850795030594,
-0.01082699280232191,
-0.299710214138031,
0.02046123333275318,
-0.14967548847198486,
-0.012793189845979214,
-0.12954573333263397,
-0.09831388294696808,
0.07478515058755875,
0.09907804429531097,
0.3274923861026764,
0.5603525638580322,
0.0938606783747673,
0.1836351901292801,
0.3918946087360382,
0.07738862186670303,
-0.21224859356880188,
-0.24602682888507843,
0.28512832522392273,
0.096305251121521,
-0.282671183347702,
-0.34620562195777893,
0.16300152242183685,
-0.263979434967041,
0.23295825719833374,
0.0578402578830719,
0.16775856912136078,
0.11276677250862122,
-0.1378822773694992,
0.24946406483650208,
0.28214263916015625,
0.05985144153237343,
0.01065152883529663,
-0.1180340126156807,
0.014983871020376682,
-0.05733712762594223,
0.15855072438716888,
0.09276831895112991,
0.21617837250232697,
-0.04496941715478897,
-0.40501487255096436,
-0.08261949568986893,
-0.2754172086715698,
0.19549527764320374,
-0.20601999759674072,
-0.5297427773475647,
-0.018626810982823372,
-0.11480309069156647,
0.023904908448457718,
-0.10028781741857529,
-0.3187434673309326,
0.1601448506116867,
-0.05653901770710945,
0.1746995896100998,
-0.11744719743728638,
0.07287564873695374,
-0.08563556522130966,
0.08851902931928635,
-0.4986368715763092,
0.025194140151143074,
0.2598647475242615,
0.08004960417747498,
0.16220267117023468,
0.1625867336988449,
-0.026163287460803986,
0.1506989300251007,
0.39101871848106384,
0.05960140377283096,
0.0018364964053034782,
-0.05813088268041611,
0.1590106040239334,
-0.29496967792510986,
-0.042152684181928635,
0.1823379397392273,
-0.42464184761047363,
-0.15480490028858185,
-0.14691752195358276,
-0.07604163140058517,
0.1608911156654358,
0.045543018728494644,
-0.24469682574272156,
-0.29811903834342957,
-0.4465659260749817,
0.7699326276779175,
-0.009563101455569267,
-0.11291150748729706,
-0.10955788940191269,
0.20794647932052612,
-0.30656126141548157,
-0.08008915930986404,
0.2194669097661972,
0.03209225460886955,
-0.019059257581830025,
-0.4033973813056946,
-0.042270831763744354,
-0.037179261445999146,
-0.10395511239767075,
0.26446613669395447,
-0.2160889357328415,
0.1813713163137436,
0.07405558228492737,
0.17394722998142242,
0.2999924421310425,
-0.46792587637901306,
-0.08489713072776794,
0.23441095650196075,
-0.03608766943216324,
0.32896745204925537,
0.0849846675992012,
0.1241305023431778,
0.051966071128845215,
-0.1715918481349945,
0.17609839141368866,
0.9709122776985168,
-0.35481831431388855,
0.024371661245822906,
-0.10637873411178589,
-0.38635125756263733,
0.5253028869628906,
0.2912897765636444,
0.0707937702536583,
-0.2695537805557251,
-0.12689059972763062,
0.0046651228331029415,
0.09227938205003738,
0.01856304332613945,
0.08767016232013702,
-0.04912399500608444,
-0.3308201730251312,
0.009197410196065903,
-0.21637961268424988,
-0.1552148163318634,
-0.37339720129966736,
0.0538264624774456,
-0.061896663159132004,
0.387917697429657,
0.3986716568470001,
-0.11829853802919388,
0.2000272125005722,
-0.3578912913799286,
-0.03352352976799011,
-0.28234612941741943,
0.1489841341972351,
-0.013988283462822437,
0.04843536764383316,
-0.22091196477413177,
-0.04951252415776253,
0.23565366864204407,
0.1350266933441162,
-0.15551720559597015,
-0.407478004693985,
0.3045089840888977,
0.02017449028789997,
-0.001504183979704976,
-0.054201237857341766,
0.5833075642585754,
-0.16488279402256012,
-0.10873354971408844,
0.2087198793888092,
0.30474424362182617,
-0.3626171052455902,
0.2941076159477234,
0.3104536235332489,
0.19204045832157135,
0.1580664962530136,
0.019926026463508606,
0.15771156549453735,
-0.014536633156239986,
-0.0647680014371872,
-0.16084501147270203,
-0.0415622852742672,
0.6416842341423035,
-0.048300474882125854,
0.348207950592041,
-0.0292414091527462,
-0.031100578606128693,
-0.1747986078262329,
-0.16735880076885223,
-0.2596576511859894,
0.33093762397766113,
0.2930160462856293,
-0.2784145474433899,
0.36245134472846985,
-0.12749864161014557,
-0.4090743660926819,
0.1585981696844101,
0.19831019639968872,
0.05338175594806671,
0.12208274751901627,
0.011676471680402756,
-0.05402818322181702,
-0.30141109228134155,
-0.10330019891262054,
0.34477943181991577,
0.6520264148712158,
0.2875113785266876,
0.16832205653190613,
0.021604279056191444,
-0.2816530764102936,
-0.09253256022930145,
0.002398334676399827,
0.1340308040380478,
-0.029897043481469154,
0.18200212717056274,
0.10243808478116989,
0.031474363058805466,
-0.08563216775655746,
-0.06431403756141663,
0.16443881392478943,
-0.21713672578334808,
-0.03231697529554367,
0.03986555337905884,
-0.17864571511745453,
-0.5128594040870667,
-0.29099351167678833,
0.03559592366218567,
-0.3008250296115875,
-0.3023710548877716,
0.18047207593917847,
0.09110572189092636,
-0.22132913768291473,
0.21164411306381226,
0.237873375415802,
0.6204207539558411,
-0.39749497175216675,
-0.12988007068634033,
-0.10952067375183105,
-0.346415251493454,
-0.10274600982666016,
0.1299118846654892,
0.35552820563316345,
0.27457284927368164,
0.4790077805519104,
0.2562713623046875,
-0.05841077119112015,
0.1019946038722992,
-0.40407443046569824,
0.026286179199814796,
-0.319781631231308,
0.2502516508102417,
0.11853636056184769,
-0.18916521966457367,
0.1525098979473114,
-0.3981902003288269,
0.011864658445119858,
-0.14020180702209473,
-0.029884548857808113,
-0.059307195246219635,
0.011886421591043472,
0.14863160252571106,
-0.20273514091968536,
-0.20275530219078064,
-0.608305811882019,
-0.4239635169506073,
0.245614156126976,
-0.2116800844669342,
0.04542825371026993,
0.05185750499367714,
-0.21421359479427338,
0.14821328222751617,
-0.1654004454612732,
0.015458811074495316,
-0.18778501451015472,
-0.1026327908039093,
-0.006060943938791752,
-0.39064279198646545,
-0.10505211353302002,
-0.504276692867279,
-0.12487275898456573,
0.2693505585193634,
-0.10490928590297699,
-0.10202112048864365,
-0.3205796182155609,
0.05709993466734886,
-0.09570715576410294,
0.016935022547841072,
0.2777612805366516,
0.10743698477745056,
-0.22773592174053192,
0.03465208783745766,
-0.06954718381166458,
-0.21417218446731567,
0.21847239136695862,
0.4109446704387665,
0.38754042983055115,
0.11119987815618515,
0.0037969525437802076,
0.14250265061855316,
0.7288061380386353,
0.20422515273094177,
-0.006215783301740885,
0.2417243868112564,
0.22308948636054993,
0.059006430208683014,
0.116936095058918,
-0.14880694448947906,
0.2164953649044037,
-0.1390654742717743,
0.5181331038475037,
0.13408245146274567,
0.14490394294261932,
-0.23636089265346527,
-0.26169630885124207,
0.0015474569518119097,
-0.20625972747802734,
-0.2486131191253662,
0.2672933042049408,
-0.23298242688179016,
-0.038977280259132385,
-0.043079692870378494,
-0.3545140326023102,
-0.3271300494670868,
-0.04302430525422096,
0.021406864747405052,
0.16934043169021606,
-0.009690525941550732,
0.13491587340831757,
-0.4466549754142761,
0.00731002539396286,
-0.48752468824386597,
0.17487017810344696,
0.03552931547164917,
0.20631344616413116,
-0.014624569565057755,
-0.09552477300167084,
-0.13732247054576874,
0.10531513392925262,
0.4926849603652954,
-0.5116750597953796,
-0.07899940013885498,
0.08137312531471252,
0.06042462959885597,
-0.13401301205158234,
-0.13115063309669495,
-0.32275527715682983,
-0.0770329162478447,
0.44155147671699524,
0.37745505571365356,
-0.42304709553718567,
-0.30254584550857544,
0.22415271401405334,
-0.16462074220180511,
-0.09548002481460571,
-0.1715964525938034,
-0.21112029254436493,
-0.1963450312614441,
-0.15463051199913025,
0.07413206249475479,
0.14330673217773438,
0.2671215236186981,
-0.12531571090221405,
0.19032765924930573,
-0.10813857614994049,
0.1845884919166565,
0.1798727959394455,
0.01582728885114193,
-0.044192202389240265,
0.35392338037490845,
0.11021852493286133,
0.07063734531402588,
-0.131255641579628,
-0.3319585621356964,
0.10548872500658035,
-0.13519957661628723,
0.20508283376693726,
0.22697044909000397,
0.09067510068416595,
0.5530039668083191,
0.11436271667480469,
0.3576848804950714,
0.30341124534606934,
-0.0634748637676239,
0.125437930226326,
-0.3138454556465149,
0.2028869092464447,
0.17584088444709778,
0.25504419207572937,
-0.10684085637331009,
-0.21424846351146698,
0.5952860713005066,
0.2874777913093567,
-0.08879192918539047,
0.38233262300491333,
-0.5090106129646301,
-0.3641583025455475,
0.2897244095802307,
0.08487631380558014,
0.6568556427955627,
-0.012666381895542145,
0.3372669219970703,
0.059179287403821945,
-0.30404409766197205,
0.6199080348014832,
-0.2759537100791931,
0.1473556011915207,
-0.13500402867794037,
-0.24565228819847107,
0.03667650371789932,
-0.048641499131917953,
-0.08241476118564606,
0.2677821218967438,
-0.3512749969959259,
0.367671936750412,
0.44386735558509827,
-0.1998150497674942,
-0.129360631108284,
0.5204609036445618,
-0.08692406862974167,
-0.32492923736572266,
-0.11418427526950836,
0.09938502311706543,
-0.23347404599189758,
0.11657463014125824,
-0.12016189098358154,
-0.250545471906662,
0.22407959401607513,
0.13571149110794067,
-0.2270088940858841,
0.045545440167188644,
-0.06588154286146164,
0.13693247735500336,
0.2686852812767029,
0.030228247866034508,
0.1925262212753296,
-0.2200125902891159,
-0.02552666887640953,
-0.10796097666025162,
-0.10625415295362473,
0.12955379486083984,
-0.16364243626594543,
0.07055362313985825,
0.13920433819293976,
-0.14759700000286102,
0.5190824866294861,
0.012029717676341534,
-0.11477196961641312,
-0.19632397592067719,
0.2693728804588318,
-0.3825458586215973,
-0.17794667184352875,
0.024098346009850502,
0.0924796462059021,
0.10347113758325577,
-0.30905479192733765,
0.5627151131629944,
0.12509994208812714,
-0.028349393978714943,
0.06166955083608627,
0.10210768133401871,
-0.22989462316036224,
0.512381911277771,
-0.18565788865089417,
-0.03955089673399925,
0.05415215715765953,
0.09490787237882614,
-0.1626538336277008,
-0.30411332845687866,
-0.04040665552020073,
0.24128514528274536,
0.13462112843990326,
-0.014453310519456863,
0.014386431314051151,
0.16485275328159332,
-0.17030973732471466,
0.043305546045303345,
-0.0753474235534668,
-0.34250250458717346,
0.15653552114963531,
0.2247282713651657,
0.21894167363643646,
0.2962498068809509,
-0.11109855771064758,
-0.18540410697460175,
-0.12255596369504929,
0.4910309612751007,
0.09181645512580872,
0.2689322233200073,
-0.11989612877368927,
0.3225714862346649,
0.35474762320518494,
0.5900267958641052,
-0.3123569190502167,
0.07766642421483994,
0.06387712061405182,
0.13484321534633636,
0.509900689125061,
-0.2374131977558136,
0.00896961148828268,
0.3305617868900299,
-0.1103556752204895,
0.07589998841285706,
-0.32956811785697937,
-0.1768559217453003,
-0.2944238781929016,
0.08765871822834015,
0.07303505390882492,
0.012625504285097122,
0.023895010352134705,
-0.03426361083984375,
-0.04506850615143776,
-0.16708719730377197,
0.005586294457316399,
-0.4168512523174286,
-0.10029652714729309,
0.20001031458377838,
-0.061024196445941925,
0.0643853023648262,
0.14227387309074402,
0.22846290469169617,
0.009681159630417824,
-0.15692190825939178,
0.24389781057834625,
0.1689838469028473,
0.10425107926130295,
-0.12324467301368713,
-0.16884909570217133,
-0.002899676561355591,
0.2162175178527832,
0.08830507844686508,
-0.12145940959453583,
0.19059306383132935,
-0.2052348256111145,
-0.09061140567064285,
0.31784725189208984,
0.18736647069454193,
0.04893608018755913,
-0.18051356077194214,
0.15276871621608734,
0.16645260155200958,
-0.11254414170980453,
0.0003931565152015537,
0.15967291593551636,
0.11689870804548264,
0.15863411128520966,
0.1467079520225525,
0.14573164284229279,
0.3819445073604584,
-0.19101963937282562,
-0.04100773110985756,
0.08764369785785675,
-0.32143500447273254,
0.11080771684646606,
-0.060432739555835724,
-0.020613402128219604,
-0.032124072313308716,
0.1805833876132965,
-0.06326822191476822,
0.2051950991153717,
-0.4029548764228821,
0.2911439836025238,
0.3381801247596741,
-0.008856015279889107,
0.03018956072628498,
0.12258732318878174,
0.011403042823076248,
-0.1338501274585724,
0.37775200605392456,
0.05748864263296127,
0.3323085904121399,
0.05188087001442909,
0.9268811941146851,
-0.262957900762558,
-0.44818466901779175,
0.06358586251735687,
0.5313950181007385,
0.029138533398509026,
-0.32141920924186707,
0.061389267444610596,
0.06478076428174973,
-0.3745325207710266,
0.16029535233974457,
0.011611673049628735,
-0.15400655567646027,
0.6641730070114136,
-0.15340939164161682,
0.19332946836948395,
-0.16817358136177063,
-0.2260017991065979,
0.28352800011634827,
0.18811418116092682,
-0.1497502624988556,
0.04486066475510597,
0.07804404199123383,
-0.06418509036302567,
-0.12437900900840759,
0.5293443202972412,
0.1735813021659851,
-0.013323095627129078,
-0.4142279028892517,
-0.003277060342952609,
0.1442958265542984,
0.16323933005332947,
-0.1211547926068306,
0.1270752102136612,
0.47768494486808777,
-0.17132702469825745,
0.2919727563858032,
0.05136556923389435,
-0.14167405664920807,
-0.16505229473114014,
0.05372549220919609,
-0.40651339292526245,
-0.4111210107803345,
0.41772323846817017,
0.1373804658651352,
-0.04147876799106598,
0.06708186864852905,
0.28556162118911743,
-0.5498074889183044,
-0.22149886190891266,
0.2549925148487091,
-0.17315106093883514,
-0.0709797590970993,
-0.22309322655200958,
0.09759364277124405,
0.04475836083292961,
0.647975504398346,
0.21212534606456757,
0.25204381346702576,
-0.35490477085113525,
-0.0999404713511467,
-0.551097571849823,
-0.1398828625679016,
0.17897365987300873,
-0.10730237513780594,
-0.27738451957702637,
0.16404426097869873,
-0.036955736577510834,
0.2786957621574402,
-0.18398289382457733,
0.1812703162431717,
0.21143680810928345,
0.009155137464404106,
-0.4085697531700134,
0.1516011357307434,
0.01877441443502903,
0.041605688631534576,
0.3125753700733185,
-0.11525017023086548,
-0.1505114883184433,
0.02137487567961216,
-0.02663578651845455,
-0.045244038105010986,
-0.0816572904586792,
0.24790668487548828,
0.1851312518119812,
0.16567835211753845,
0.013480708003044128,
0.4840938448905945,
-0.07819242775440216,
-0.12652726471424103,
-0.020788226276636124,
-0.07461056113243103,
-0.4193071722984314,
-0.2067510187625885,
-0.09964533895254135,
0.21812154352664948,
-0.27957722544670105,
0.3174087703227997,
-0.009172584861516953,
-0.11152952164411545,
0.15208306908607483,
0.06763501465320587,
-0.10436654835939407,
-0.05300767347216606,
0.1152551919221878,
0.09159164875745773,
0.1921045482158661,
0.7487502098083496,
0.06614495068788528,
0.09840822219848633,
-0.08251723647117615,
-0.11334831267595291,
0.08893370628356934,
-0.06935162097215652,
-0.18787802755832672,
-0.16191406548023224,
0.01233151275664568,
0.10883473604917526,
0.0035939563531428576,
-0.6421051025390625,
-0.30900174379348755,
0.028569648042321205,
0.040786031633615494,
0.03615647181868553,
0.709376335144043,
0.052084099501371384,
-0.1664981096982956,
-0.12391171604394913,
-0.3487201929092407,
0.08365879207849503,
-0.3357553482055664,
0.06608200073242188,
-0.3758983612060547
] |
https://github.com/huggingface/datasets/issues/217 | Multi-task dataset mixing | A very janky (but working) implementation of `multitask_dataset.sample()` could be something like this:
```python
import nlp
import torch
class MultiDataset():
def __init__(self, *args, temperature=2.0, k=1000, maximum=None, scale=1):
self.datasets = args
self._dataloaders = {}
for split in self._get_common_splits():
split_datasets = [ds[split] for ds in self.datasets]
mixing_rates = self._calc_mixing_rates(split_datasets,temperature, k, maximum, scale)
weights = []
for i in range(len(self.datasets)):
weights += [mixing_rates[i]]*len(self.datasets[i][split])
self._dataloaders[split] = torch.utils.data.DataLoader(torch.utils.data.ConcatDataset(split_datasets),
sampler=torch.utils.data.sampler.WeightedRandomSampler(
num_samples=len(weights),
weights = weights,
replacement=True),
shuffle=False)
def _get_common_splits(self):
'''Finds the common splits present in all self.datasets'''
min_set = None
for dataset in self.datasets:
if min_set != None:
min_set.intersection(set(dataset.keys()))
else:
min_set = set(dataset.keys())
return min_set
def _calc_mixing_rates(self,datasets, temperature=2.0, k=1000, maximum=None, scale=1):
'''Work out the weighting of each dataset based on t and k'''
mixing_rates = []
for dataset in datasets:
rate = len(dataset)
rate *= scale
if maximum:
rate = min(rate, maximum)
if temperature != 1.0:
rate = rate ** (1.0/temperature)
mixing_rates.append(rate)
return mixing_rates
def sample(self,n,split):
batch = []
for example in self._dataloaders[split]:
batch.append(example)
n -= 1
if n == 0:
return batch
def flatten(dataset,flatten_fn):
for k in dataset.keys():
if isinstance(dataset[k],nlp.Dataset):
dataset[k] = dataset[k].map(flatten_fn,remove_columns=dataset[k].column_names)
# Squad
def flatten_squad(example):
return {"source": "squad context: " + example['context'] + " question: " + example['question'],"target":example["answers"]["text"]}
squad = nlp.load_dataset("squad")
flatten(squad,flatten_squad)
# CNN_DM
def flatten_cnn_dm(example):
return {"source": "cnn_dm: " + example['article'],"target":[example["highlights"]]}
cnn_dm = nlp.load_dataset("cnn_dailymail", "3.0.0")
flatten(cnn_dm,flatten_cnn_dm)
multitask_dataset = MultiDataset(squad, cnn_dm)
batch = multitask_dataset.sample(100,"train")
```
There's definitely a more sensible way than embedding `DataLoader`s inside. | It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
| 231 | Multi-task dataset mixing
It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
A very janky (but working) implementation of `multitask_dataset.sample()` could be something like this:
```python
import nlp
import torch
class MultiDataset():
def __init__(self, *args, temperature=2.0, k=1000, maximum=None, scale=1):
self.datasets = args
self._dataloaders = {}
for split in self._get_common_splits():
split_datasets = [ds[split] for ds in self.datasets]
mixing_rates = self._calc_mixing_rates(split_datasets,temperature, k, maximum, scale)
weights = []
for i in range(len(self.datasets)):
weights += [mixing_rates[i]]*len(self.datasets[i][split])
self._dataloaders[split] = torch.utils.data.DataLoader(torch.utils.data.ConcatDataset(split_datasets),
sampler=torch.utils.data.sampler.WeightedRandomSampler(
num_samples=len(weights),
weights = weights,
replacement=True),
shuffle=False)
def _get_common_splits(self):
'''Finds the common splits present in all self.datasets'''
min_set = None
for dataset in self.datasets:
if min_set != None:
min_set.intersection(set(dataset.keys()))
else:
min_set = set(dataset.keys())
return min_set
def _calc_mixing_rates(self,datasets, temperature=2.0, k=1000, maximum=None, scale=1):
'''Work out the weighting of each dataset based on t and k'''
mixing_rates = []
for dataset in datasets:
rate = len(dataset)
rate *= scale
if maximum:
rate = min(rate, maximum)
if temperature != 1.0:
rate = rate ** (1.0/temperature)
mixing_rates.append(rate)
return mixing_rates
def sample(self,n,split):
batch = []
for example in self._dataloaders[split]:
batch.append(example)
n -= 1
if n == 0:
return batch
def flatten(dataset,flatten_fn):
for k in dataset.keys():
if isinstance(dataset[k],nlp.Dataset):
dataset[k] = dataset[k].map(flatten_fn,remove_columns=dataset[k].column_names)
# Squad
def flatten_squad(example):
return {"source": "squad context: " + example['context'] + " question: " + example['question'],"target":example["answers"]["text"]}
squad = nlp.load_dataset("squad")
flatten(squad,flatten_squad)
# CNN_DM
def flatten_cnn_dm(example):
return {"source": "cnn_dm: " + example['article'],"target":[example["highlights"]]}
cnn_dm = nlp.load_dataset("cnn_dailymail", "3.0.0")
flatten(cnn_dm,flatten_cnn_dm)
multitask_dataset = MultiDataset(squad, cnn_dm)
batch = multitask_dataset.sample(100,"train")
```
There's definitely a more sensible way than embedding `DataLoader`s inside. | [
-0.08342023193836212,
-0.38811933994293213,
-0.058892376720905304,
-0.0579487644135952,
-0.25454190373420715,
0.06940426677465439,
0.19493088126182556,
0.05141011252999306,
0.34056010842323303,
-0.14826437830924988,
-0.20243516564369202,
0.3717308044433594,
-0.23944765329360962,
0.34754109382629395,
0.38729801774024963,
-0.4599963426589966,
0.024137498810887337,
-0.2675699293613434,
-0.26987817883491516,
0.3728724420070648,
0.06227037310600281,
0.08812984079122543,
-0.18115825951099396,
0.08036605268716812,
-0.25397735834121704,
-0.1634482890367508,
-0.34938836097717285,
0.10462171584367752,
0.15728843212127686,
-0.013107460923492908,
0.21203705668449402,
0.38126274943351746,
-0.0404963418841362,
0.13177834451198578,
-0.00011317195458104834,
-0.07457657903432846,
0.21052570641040802,
-0.07623807340860367,
0.08656402677297592,
-0.06524460017681122,
0.2296265810728073,
-0.4317648708820343,
0.036713067442178726,
-0.14333127439022064,
0.14059743285179138,
0.1517212986946106,
0.16424991190433502,
-0.0074315145611763,
0.38448086380958557,
-0.27362778782844543,
0.11178207397460938,
0.28740960359573364,
-0.1595599353313446,
0.2645363211631775,
-0.10869432240724564,
-0.04744035005569458,
0.04901286959648132,
0.2619539499282837,
0.6061143279075623,
-0.6340859532356262,
-0.014125113375484943,
0.10082380473613739,
-0.04980522021651268,
0.031944118440151215,
0.1234842911362648,
-0.08227342367172241,
-0.3827718198299408,
-0.23529954254627228,
-0.3922519087791443,
0.2454875260591507,
-0.17746670544147491,
-0.1945362538099289,
-0.22744792699813843,
-0.5580018758773804,
0.006252939347177744,
0.041994791477918625,
-0.30483847856521606,
0.050221920013427734,
-0.19981621205806732,
-0.06731585413217545,
-0.13756787776947021,
-0.08848818391561508,
0.011830191127955914,
0.17321676015853882,
0.31564927101135254,
0.5342757701873779,
0.10947076231241226,
0.17463359236717224,
0.3422691524028778,
0.04283103346824646,
-0.13867327570915222,
-0.28696683049201965,
0.3420218527317047,
0.12645862996578217,
-0.37124958634376526,
-0.30758586525917053,
0.1824493259191513,
-0.2611481547355652,
0.25415703654289246,
0.11465180665254593,
0.11636385321617126,
0.09271908551454544,
-0.12476256489753723,
0.2851982116699219,
0.3020448088645935,
0.015004734508693218,
-0.08135770261287689,
-0.08082737028598785,
0.023554407060146332,
-0.13282231986522675,
0.22979427874088287,
0.12041173130273819,
0.1645006239414215,
-0.030591757968068123,
-0.40878111124038696,
-0.06945715099573135,
-0.16123688220977783,
0.1976405531167984,
-0.23831014335155487,
-0.48460257053375244,
-0.1420590579509735,
-0.08315490931272507,
0.07923731207847595,
-0.09192744642496109,
-0.2979576289653778,
0.10018078237771988,
-0.07304764539003372,
0.24686883389949799,
-0.10002510994672775,
0.07183794677257538,
-0.056345127522945404,
0.0983508750796318,
-0.43944042921066284,
-0.06991681456565857,
0.32330989837646484,
0.14224645495414734,
0.11645498871803284,
0.17511357367038727,
-0.016918161883950233,
0.1301407665014267,
0.4420311450958252,
-0.0019401790341362357,
0.020958175882697105,
-0.01405948493629694,
0.1952323466539383,
-0.3251473009586334,
0.004883179906755686,
0.22755217552185059,
-0.37265798449516296,
-0.14289061725139618,
-0.128090500831604,
-0.1560910940170288,
0.1126977726817131,
0.03565239906311035,
-0.23599126935005188,
-0.2588006556034088,
-0.4986608922481537,
0.6829752326011658,
-0.02900400012731552,
-0.04187630116939545,
-0.1579708307981491,
0.2522132396697998,
-0.24844463169574738,
-0.1251499056816101,
0.21692012250423431,
0.06579384952783585,
-0.002443592296913266,
-0.31193816661834717,
-0.1297091543674469,
-0.08177625387907028,
-0.03710135444998741,
0.22530725598335266,
-0.16007858514785767,
0.2730761766433716,
0.04683201014995575,
0.2083573341369629,
0.26415303349494934,
-0.5000431537628174,
-0.04386594146490097,
0.266920268535614,
-0.042177170515060425,
0.4183538258075714,
0.04843828082084656,
0.2128075808286667,
0.03480517864227295,
-0.16171251237392426,
0.29856300354003906,
1.0328638553619385,
-0.38605260848999023,
0.0045570251531898975,
-0.09491441398859024,
-0.3651701807975769,
0.5233176350593567,
0.3392058312892914,
0.09073849022388458,
-0.3195149898529053,
-0.1159660592675209,
-0.053001802414655685,
0.10058603435754776,
0.08589214831590652,
0.07345230877399445,
-0.07229728996753693,
-0.365039199590683,
0.059784043580293655,
-0.2487357258796692,
-0.19382630288600922,
-0.342143714427948,
0.030358711257576942,
0.11190682649612427,
0.27976635098457336,
0.24866817891597748,
-0.1320004165172577,
0.22297149896621704,
-0.25494563579559326,
-0.12981511652469635,
-0.3390691578388214,
0.1418405920267105,
-0.05979080870747566,
0.03747917711734772,
-0.2510697841644287,
0.0014998660190030932,
0.3411412537097931,
0.12741728127002716,
-0.15057143568992615,
-0.47374778985977173,
0.28402602672576904,
-0.05593821406364441,
0.03936878591775894,
-0.022018037736415863,
0.6338953375816345,
-0.16466931998729706,
-0.08810720592737198,
0.19178640842437744,
0.28774383664131165,
-0.26854732632637024,
0.21729783713817596,
0.3182617425918579,
0.16927006840705872,
0.14661987125873566,
-0.022832229733467102,
0.09416741877794266,
0.062102749943733215,
-0.02409151755273342,
-0.2137683779001236,
-0.08747932314872742,
0.5368933081626892,
-0.150593563914299,
0.43937888741493225,
-0.06569937616586685,
0.06121264398097992,
-0.16889765858650208,
-0.017659280449151993,
-0.18787488341331482,
0.4131902754306793,
0.3052523732185364,
-0.19494245946407318,
0.34917739033699036,
-0.18313777446746826,
-0.37643325328826904,
0.15710029006004333,
0.089298777282238,
0.029829898849129677,
0.09827006608247757,
-0.04359466955065727,
-0.051643457263708115,
-0.2501397132873535,
-0.0670483261346817,
0.34258130192756653,
0.6638851165771484,
0.2629100978374481,
0.1862419992685318,
0.04439222440123558,
-0.24098949134349823,
-0.06112935021519661,
0.008607645519077778,
0.17471592128276825,
-0.08582803606987,
0.16375607252120972,
0.055455055087804794,
0.03326430916786194,
0.04951440915465355,
-0.13218683004379272,
0.15407127141952515,
-0.18271596729755402,
-0.07683458179235458,
0.09348588436841965,
-0.2060638815164566,
-0.5439797639846802,
-0.19668960571289062,
0.022410990670323372,
-0.2867783010005951,
-0.28189772367477417,
0.09111542999744415,
0.09463918954133987,
-0.13861504197120667,
0.15519224107265472,
0.21347860991954803,
0.534140408039093,
-0.39720308780670166,
-0.2968820035457611,
-0.021574856713414192,
-0.34398671984672546,
-0.1300346851348877,
0.12559708952903748,
0.43872183561325073,
0.33325719833374023,
0.5198891162872314,
0.3033442199230194,
-0.08945254236459732,
0.04793376848101616,
-0.33727186918258667,
0.010944589041173458,
-0.28580906987190247,
0.2852506935596466,
0.13329263031482697,
-0.242193341255188,
0.16811217367649078,
-0.34855756163597107,
-0.025233762338757515,
-0.0736948624253273,
-0.08946555852890015,
-0.03885059431195259,
-0.002678220858797431,
0.07000242173671722,
-0.17970342934131622,
-0.17550243437290192,
-0.6369870901107788,
-0.4389748275279999,
0.29911237955093384,
-0.26405516266822815,
0.09133286029100418,
-0.016800886020064354,
-0.2485511153936386,
0.1854192167520523,
-0.11016422510147095,
0.0057688262313604355,
-0.17779766023159027,
-0.09301396459341049,
0.02673337236046791,
-0.3839554786682129,
-0.18263882398605347,
-0.38308313488960266,
-0.1138102188706398,
0.21733084321022034,
-0.019878994673490524,
-0.023589301854372025,
-0.2534295916557312,
0.10554058849811554,
-0.06678219884634018,
0.06013956665992737,
0.21710561215877533,
0.1514703631401062,
-0.23825204372406006,
0.13472460210323334,
-0.05888685584068298,
-0.23463928699493408,
0.23617631196975708,
0.2706869840621948,
0.4174253046512604,
0.16836750507354736,
0.04018945246934891,
0.20723868906497955,
0.6981121897697449,
0.24865445494651794,
0.028430690988898277,
0.1425480991601944,
0.2371983677148819,
-0.00511866994202137,
0.18883751332759857,
-0.2463110387325287,
0.21866919100284576,
-0.21620038151741028,
0.48305749893188477,
0.028078535571694374,
0.1475924551486969,
-0.21976760029792786,
-0.2751483619213104,
0.005366126541048288,
-0.2993879020214081,
-0.1995483934879303,
0.22123681008815765,
-0.2730292081832886,
0.011601455509662628,
-0.11817097663879395,
-0.3471129834651947,
-0.2714879512786865,
-0.036768194288015366,
0.013553237542510033,
0.30513352155685425,
-0.08174040168523788,
0.15701237320899963,
-0.3513636291027069,
-0.049009084701538086,
-0.44961100816726685,
0.1521972417831421,
0.04184596613049507,
0.2807391583919525,
-0.06174781918525696,
-0.06096750497817993,
-0.10397979617118835,
0.09561669826507568,
0.584717333316803,
-0.5166602730751038,
-0.09553302079439163,
0.12874868512153625,
0.12548890709877014,
-0.1312006562948227,
-0.11914404481649399,
-0.2858884632587433,
0.07362567633390427,
0.4597923159599304,
0.340938001871109,
-0.344413161277771,
-0.2527541518211365,
0.21955060958862305,
-0.17277483642101288,
-0.057592738419771194,
-0.18763329088687897,
-0.23618759214878082,
-0.23544250428676605,
-0.08206864446401596,
0.055361490696668625,
0.22892586886882782,
0.22814002633094788,
-0.11155752837657928,
0.19488991796970367,
-0.12732572853565216,
0.24054819345474243,
0.21754497289657593,
-0.002513660816475749,
-0.024933401495218277,
0.18107442557811737,
0.17871487140655518,
0.04497780650854111,
-0.1487913280725479,
-0.3022288382053375,
0.09064873307943344,
-0.05727655813097954,
0.11080967634916306,
0.22470267117023468,
-0.020743204280734062,
0.6292213797569275,
0.0477001890540123,
0.3185668885707855,
0.2778654992580414,
-0.19443415105342865,
-0.002981480211019516,
-0.2579376697540283,
0.20183652639389038,
0.2203504592180252,
0.2621207535266876,
-0.11640992015600204,
-0.2639242112636566,
0.5500632524490356,
0.3211117684841156,
-0.0659315288066864,
0.4420504570007324,
-0.5858774185180664,
-0.3123209476470947,
0.2432999312877655,
0.06730388849973679,
0.6210483312606812,
-0.011136581189930439,
0.286962628364563,
0.0889556035399437,
-0.3830382227897644,
0.5410962104797363,
-0.3828496038913727,
0.16390222311019897,
-0.08226855844259262,
-0.15365350246429443,
0.015216345898807049,
-0.09603583067655563,
-0.04071812331676483,
0.2526591122150421,
-0.32957977056503296,
0.35041865706443787,
0.4120703339576721,
-0.20682227611541748,
-0.0675337091088295,
0.5238788723945618,
-0.013963894918560982,
-0.3526764214038849,
-0.042020026594400406,
0.08234096318483353,
-0.2836208641529083,
0.10621663182973862,
-0.1444058120250702,
-0.24390126764774323,
0.217010498046875,
0.15858182311058044,
-0.34577375650405884,
0.08260791003704071,
-0.03591394051909447,
0.22727487981319427,
0.21372590959072113,
-0.03624681383371353,
0.2051752358675003,
-0.17723801732063293,
-0.07493184506893158,
-0.1512724757194519,
-0.03667193651199341,
0.1263703554868698,
-0.14632152020931244,
0.04019325599074364,
0.0808703750371933,
-0.218107670545578,
0.45674705505371094,
-0.04643131047487259,
-0.122221939265728,
-0.199751615524292,
0.286871999502182,
-0.4222888648509979,
-0.18035922944545746,
0.1595400869846344,
0.17278672754764557,
0.2526025176048279,
-0.3115995526313782,
0.556342601776123,
0.14838624000549316,
-0.010223736986517906,
0.03905479237437248,
0.18057683110237122,
-0.260419100522995,
0.5079047083854675,
-0.36686766147613525,
0.014650780707597733,
0.0897601768374443,
0.02091219089925289,
-0.13653387129306793,
-0.36404022574424744,
-0.04824399948120117,
0.3149685561656952,
0.1139809861779213,
0.00437669875100255,
0.06601306796073914,
0.12075348198413849,
0.013668476603925228,
-0.04037683829665184,
-0.16214576363563538,
-0.34312960505485535,
0.11653667688369751,
0.1604318469762802,
0.17776013910770416,
0.18723249435424805,
-0.04996218904852867,
-0.2939021587371826,
-0.16337944567203522,
0.4305417239665985,
0.044077713042497635,
0.20243090391159058,
-0.13496133685112,
0.35182085633277893,
0.38145267963409424,
0.49481523036956787,
-0.25801002979278564,
0.07705677300691605,
0.09505507349967957,
0.09604062885046005,
0.4429807662963867,
-0.2144620716571808,
0.0520828478038311,
0.2533465623855591,
-0.11877474188804626,
0.029874807223677635,
-0.32196852564811707,
-0.15790054202079773,
-0.2378179281949997,
0.09774894267320633,
0.0700349435210228,
0.017564890906214714,
0.0414375439286232,
-0.1024017259478569,
-0.08863141387701035,
-0.07675302028656006,
-0.011173226870596409,
-0.324833482503891,
-0.06518688797950745,
0.14712892472743988,
-0.10908284783363342,
0.04781080782413483,
0.07037947326898575,
0.19740602374076843,
-0.002259120810776949,
-0.08732935786247253,
0.28135186433792114,
0.12359558790922165,
0.18367743492126465,
-0.16559188067913055,
-0.14358817040920258,
-0.0252524521201849,
0.2127145677804947,
0.1461205631494522,
-0.07139448821544647,
0.16139689087867737,
-0.21960103511810303,
-0.15503600239753723,
0.25354981422424316,
0.2257738709449768,
0.024593526497483253,
-0.10969015955924988,
0.147074893116951,
0.11975526064634323,
-0.12432178854942322,
-0.002117814961820841,
0.2085062712430954,
0.09803588688373566,
0.11718344688415527,
0.1034611389040947,
0.10285257548093796,
0.4659959375858307,
-0.30514270067214966,
0.031375233083963394,
0.10533059388399124,
-0.3483785390853882,
0.11580241471529007,
-0.08272483199834824,
-0.0022729961201548576,
0.0024443003349006176,
0.10375615954399109,
-0.0023493068292737007,
0.14066536724567413,
-0.23288759589195251,
0.3303031027317047,
0.3737261891365051,
0.06398952007293701,
0.007039366755634546,
0.1710142344236374,
0.0021040078718215227,
-0.11631634831428528,
0.23376470804214478,
0.02021610736846924,
0.35285118222236633,
0.03638806566596031,
0.8677220344543457,
-0.31640496850013733,
-0.44532185792922974,
0.10563376545906067,
0.3968658447265625,
0.05611949414014816,
-0.23128989338874817,
0.14472177624702454,
0.10362959653139114,
-0.3610670864582062,
0.08872591704130173,
0.06925946474075317,
-0.17860978841781616,
0.6680487990379333,
-0.12029631435871124,
0.16749359667301178,
-0.18092724680900574,
-0.22236540913581848,
0.35287171602249146,
0.1628759801387787,
-0.10737736523151398,
-0.035656917840242386,
0.10721278190612793,
-0.1029248759150505,
-0.1998305767774582,
0.49408864974975586,
0.24655286967754364,
0.04875296354293823,
-0.5133509635925293,
0.01197219081223011,
0.06946779787540436,
0.1574360728263855,
-0.079464390873909,
0.10217893868684769,
0.4472753703594208,
-0.17720024287700653,
0.2422116994857788,
0.01544740330427885,
-0.05776221677660942,
-0.1007937416434288,
0.09602212905883789,
-0.4450978636741638,
-0.3861231207847595,
0.4605049788951874,
0.07121484726667404,
-0.1043766513466835,
0.06537472456693649,
0.3186514377593994,
-0.632595419883728,
-0.2643201947212219,
0.3530021905899048,
-0.08635822683572769,
-0.0563836432993412,
-0.20915178954601288,
0.08163759112358093,
0.04211152344942093,
0.6012598872184753,
0.183181494474411,
0.34985941648483276,
-0.37034693360328674,
-0.11620806902647018,
-0.6050464510917664,
-0.1977108269929886,
0.051924604922533035,
-0.15896205604076385,
-0.26225268840789795,
0.14968352019786835,
-0.06800574064254761,
0.3262110948562622,
-0.23237282037734985,
0.09375490993261337,
0.2632231116294861,
0.1062975749373436,
-0.4595511853694916,
0.05649925395846367,
0.10483251512050629,
0.030725467950105667,
0.30466967821121216,
-0.10057736188173294,
-0.2276274859905243,
0.046522676944732666,
-0.05575620010495186,
-0.06158801540732384,
-0.1410764753818512,
0.2911341190338135,
0.18577349185943604,
0.08580711483955383,
0.025451239198446274,
0.524669885635376,
-0.0034387216437608004,
-0.14572064578533173,
-0.02578272670507431,
0.05499577894806862,
-0.3764565885066986,
-0.12250643968582153,
-0.09452313929796219,
0.1602577418088913,
-0.3817414939403534,
0.2723013758659363,
0.011710545048117638,
-0.045299798250198364,
0.118520587682724,
0.002989842789247632,
-0.19630953669548035,
-0.030838776379823685,
0.06354264914989471,
0.23153437674045563,
0.17898160219192505,
0.7314291000366211,
-0.02548316866159439,
0.15572886168956757,
-0.07544959336519241,
-0.03531152009963989,
0.05345000699162483,
-0.13339778780937195,
-0.2366468906402588,
-0.2042829692363739,
0.06664790213108063,
0.0596994087100029,
0.1490628719329834,
-0.6794455647468567,
-0.3367588222026825,
0.033881280571222305,
-0.0028483958449214697,
0.06076914444565773,
0.7086073756217957,
0.07913240045309067,
-0.12908105552196503,
-0.11463358998298645,
-0.32713255286216736,
-0.00030930357752367854,
-0.2582996189594269,
0.20294028520584106,
-0.3788250982761383
] |
https://github.com/huggingface/datasets/issues/217 | Multi-task dataset mixing | Good spot! Here are my thoughts:
- Aside: Adding `MultitaskModel` to transformers might be a thing to raise - even though having task-specific heads has become unfashionable in recent times in favour of text-to-text type models.
- Adding the task name as an extra field also seems useful for these kind of models which have task-specific heads
- There is some validation of our approach that the user should be expected to `map` datasets into a common form.
- The size-proportional sampling (also called "Examples-proportional mixing") used here doesn't perform too badly in the T5 paper (it's comparable to temperature-scaled mixing in many cases but less flexible. This is only reasonable with a `K` maximum size parameter to prevent very large datasets dominating). This might be good for a first prototype using:
```python
def __iter__(self):
"""
For each batch, sample a task, and yield a batch from the respective
task Dataloader.
We use size-proportional sampling, but you could easily modify this
to sample from some-other distribution.
"""
task_choice_list = []
for i, task_name in enumerate(self.task_name_list):
task_choice_list += [i] * self.num_batches_dict[task_name]
task_choice_list = np.array(task_choice_list)
np.random.shuffle(task_choice_list)
dataloader_iter_dict = {
task_name: iter(dataloader)
for task_name, dataloader in self.dataloader_dict.items()
}
for task_choice in task_choice_list:
task_name = self.task_name_list[task_choice]
yield next(dataloader_iter_dict[task_name])
```
We'd just need to pull samples from the raw datasets and not from `DataLoader`s for each task. We can assume the user has done `dataset.shuffle()` if they want to.
Other sampling methods can later be implemented by changing how the `task_choice_list` is generated. This should allow more flexibility and not tie us to specific methods for sampling among datasets.
| It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
| 264 | Multi-task dataset mixing
It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
Good spot! Here are my thoughts:
- Aside: Adding `MultitaskModel` to transformers might be a thing to raise - even though having task-specific heads has become unfashionable in recent times in favour of text-to-text type models.
- Adding the task name as an extra field also seems useful for these kind of models which have task-specific heads
- There is some validation of our approach that the user should be expected to `map` datasets into a common form.
- The size-proportional sampling (also called "Examples-proportional mixing") used here doesn't perform too badly in the T5 paper (it's comparable to temperature-scaled mixing in many cases but less flexible. This is only reasonable with a `K` maximum size parameter to prevent very large datasets dominating). This might be good for a first prototype using:
```python
def __iter__(self):
"""
For each batch, sample a task, and yield a batch from the respective
task Dataloader.
We use size-proportional sampling, but you could easily modify this
to sample from some-other distribution.
"""
task_choice_list = []
for i, task_name in enumerate(self.task_name_list):
task_choice_list += [i] * self.num_batches_dict[task_name]
task_choice_list = np.array(task_choice_list)
np.random.shuffle(task_choice_list)
dataloader_iter_dict = {
task_name: iter(dataloader)
for task_name, dataloader in self.dataloader_dict.items()
}
for task_choice in task_choice_list:
task_name = self.task_name_list[task_choice]
yield next(dataloader_iter_dict[task_name])
```
We'd just need to pull samples from the raw datasets and not from `DataLoader`s for each task. We can assume the user has done `dataset.shuffle()` if they want to.
Other sampling methods can later be implemented by changing how the `task_choice_list` is generated. This should allow more flexibility and not tie us to specific methods for sampling among datasets.
| [
-0.005269445478916168,
-0.4564429223537445,
-0.04090099409222603,
-0.03315446898341179,
-0.2421441227197647,
0.08998850733041763,
0.2262677401304245,
0.03379306569695473,
0.3455827236175537,
-0.18324913084506989,
-0.17462334036827087,
0.27823737263679504,
-0.21713024377822876,
0.31477978825569153,
0.39542362093925476,
-0.44745877385139465,
0.05297639220952988,
-0.26878687739372253,
-0.2423505336046219,
0.37680408358573914,
0.02382880076766014,
0.13764438033103943,
-0.16504839062690735,
0.10277920216321945,
-0.34901657700538635,
-0.14932696521282196,
-0.29104581475257874,
0.10549043118953705,
0.14364326000213623,
0.04943356290459633,
0.24418717622756958,
0.341758668422699,
-0.031972698867321014,
0.19578063488006592,
-0.00011775490565923974,
-0.02630443684756756,
0.22959113121032715,
-0.05339064076542854,
0.1380276083946228,
-0.051430992782115936,
0.13814187049865723,
-0.3776620030403137,
0.06772933900356293,
-0.12424936890602112,
0.19982902705669403,
0.2635387182235718,
0.18150998651981354,
0.13065983355045319,
0.34446805715560913,
-0.33991119265556335,
0.05876656249165535,
0.27942803502082825,
-0.20459231734275818,
0.3041360080242157,
-0.08194995671510696,
0.04751138761639595,
0.0006845130119472742,
0.24062460660934448,
0.6316851377487183,
-0.6122652292251587,
0.00954695139080286,
0.1181459128856659,
0.020631887018680573,
-0.07559328526258469,
0.213165283203125,
-0.07582761347293854,
-0.3081114590167999,
-0.2063165009021759,
-0.4016382396221161,
0.19827313721179962,
-0.13543793559074402,
-0.12603098154067993,
-0.17508962750434875,
-0.5726636052131653,
-0.09653235971927643,
0.07819868624210358,
-0.28447970747947693,
0.015646301209926605,
-0.19182930886745453,
-0.04815220832824707,
-0.13264083862304688,
-0.12773177027702332,
-0.03177603706717491,
0.13176578283309937,
0.35107341408729553,
0.6222614049911499,
0.1479908674955368,
0.15523575246334076,
0.38221293687820435,
0.1009347066283226,
-0.08788445591926575,
-0.24048112332820892,
0.3139016032218933,
0.11480113118886948,
-0.393947035074234,
-0.36231350898742676,
0.20420101284980774,
-0.2805655300617218,
0.229351207613945,
0.06943400949239731,
0.16647212207317352,
0.08447272330522537,
-0.12309946119785309,
0.26120585203170776,
0.31291526556015015,
0.004651522729545832,
-0.13495342433452606,
-0.09768778085708618,
0.0522310733795166,
-0.07296261191368103,
0.23544931411743164,
0.10745207220315933,
0.16393166780471802,
-0.01664767973124981,
-0.43312522768974304,
-0.08163998275995255,
-0.1350042074918747,
0.1605202853679657,
-0.12132003903388977,
-0.5605204105377197,
-0.03214458376169205,
-0.1420903354883194,
0.1316172182559967,
-0.09903332591056824,
-0.30580490827560425,
0.13915832340717316,
-0.08490332961082458,
0.2681117057800293,
-0.09449848532676697,
0.13290292024612427,
-0.03960457444190979,
0.04850296303629875,
-0.44950082898139954,
-0.06490973383188248,
0.3281114101409912,
0.2135881930589676,
0.05287676304578781,
0.13712088763713837,
-0.0014475133502855897,
0.07443277537822723,
0.3536284267902374,
0.05483192205429077,
-0.01000108290463686,
0.04295583814382553,
0.07790736109018326,
-0.309536874294281,
-0.027146149426698685,
0.2130465805530548,
-0.34669846296310425,
-0.13569515943527222,
-0.16489844024181366,
-0.23564139008522034,
0.1343444585800171,
-0.014896339736878872,
-0.18980444967746735,
-0.25104671716690063,
-0.5263700485229492,
0.6592673659324646,
-0.03056156635284424,
-0.05707409605383873,
-0.12782634794712067,
0.32526835799217224,
-0.24029608070850372,
-0.078280970454216,
0.1297525018453598,
0.04584088176488876,
0.03465897589921951,
-0.3742164373397827,
-0.09624514728784561,
-0.0856848806142807,
-0.040357571095228195,
0.30118224024772644,
-0.18863286077976227,
0.2752714455127716,
0.09550350159406662,
0.13118794560432434,
0.21981237828731537,
-0.4872385859489441,
-0.030618591234087944,
0.2935410439968109,
-0.026290977373719215,
0.3781125247478485,
0.07428216934204102,
0.24824465811252594,
-0.049776095896959305,
-0.18438908457756042,
0.25284427404403687,
0.9806958436965942,
-0.3445674777030945,
0.007813118398189545,
-0.12597215175628662,
-0.3848104178905487,
0.5938200950622559,
0.35658639669418335,
0.1247871145606041,
-0.28234636783599854,
-0.13511605560779572,
0.08289189636707306,
0.0904683917760849,
0.11593067646026611,
0.07905580848455429,
-0.09205992519855499,
-0.32606279850006104,
0.023914769291877747,
-0.16235782206058502,
-0.11649902164936066,
-0.4359433650970459,
0.010673446580767632,
-0.029215633869171143,
0.3597773611545563,
0.21428373456001282,
-0.10928677767515182,
0.27148211002349854,
-0.2791426181793213,
-0.1207624077796936,
-0.3025939464569092,
0.0706900805234909,
-0.12522879242897034,
-0.033662788569927216,
-0.28421708941459656,
-0.014253886416554451,
0.287822425365448,
0.17413753271102905,
-0.09134731441736221,
-0.462568461894989,
0.3106149733066559,
-0.11350930482149124,
0.07947522401809692,
-0.07837386429309845,
0.6710867285728455,
-0.13304321467876434,
-0.05170876532793045,
0.18674446642398834,
0.25455960631370544,
-0.30537280440330505,
0.26025357842445374,
0.31741344928741455,
0.3043530583381653,
0.1962374746799469,
-0.05067864805459976,
0.08027470111846924,
0.07100693136453629,
-0.006333031691610813,
-0.25429004430770874,
-0.16883835196495056,
0.45542821288108826,
-0.1798308938741684,
0.4642225503921509,
-0.07356186956167221,
-0.006369295064359903,
-0.20803220570087433,
-0.04436594247817993,
-0.2130458950996399,
0.44610440731048584,
0.2914744019508362,
-0.1696995198726654,
0.21452751755714417,
-0.10940814763307571,
-0.35217341780662537,
0.1489396095275879,
0.1390201598405838,
0.031161176040768623,
0.03513563051819801,
0.012584545649588108,
0.006687578279525042,
-0.2945311665534973,
-0.11442459374666214,
0.29003700613975525,
0.5758757591247559,
0.21885429322719574,
0.13711343705654144,
0.017956335097551346,
-0.2088221311569214,
-0.09033544361591339,
0.013694005087018013,
0.2752796411514282,
0.01692301221191883,
0.19390881061553955,
0.015641700476408005,
0.064555324614048,
0.042457692325115204,
-0.20733022689819336,
0.15761017799377441,
-0.20261071622371674,
-0.059820372611284256,
0.03191610053181648,
-0.18620608747005463,
-0.5582323670387268,
-0.2554794251918793,
-0.010924187488853931,
-0.36712130904197693,
-0.2729381322860718,
0.15407246351242065,
0.043434176594018936,
-0.16207271814346313,
0.1376047432422638,
0.24740619957447052,
0.6375622153282166,
-0.46454888582229614,
-0.2303403615951538,
-0.14063890278339386,
-0.3725031018257141,
-0.07144709676504135,
0.07383917272090912,
0.4597984850406647,
0.28610607981681824,
0.38312146067619324,
0.33520135283470154,
-0.07496794313192368,
0.1093757152557373,
-0.4088931381702423,
0.010390521958470345,
-0.2810269296169281,
0.24833235144615173,
0.08054898679256439,
-0.21447741985321045,
0.17429642379283905,
-0.3981611430644989,
-0.06309691816568375,
-0.027325574308633804,
-0.0667390376329422,
-0.004362516570836306,
-0.006471315864473581,
0.08041540533304214,
-0.1972562074661255,
-0.1686614751815796,
-0.6268010139465332,
-0.4757329523563385,
0.3247363269329071,
-0.2877424359321594,
0.06258340179920197,
0.09646813571453094,
-0.27044111490249634,
0.12282247096300125,
-0.07755067944526672,
-0.006085993722081184,
-0.12584719061851501,
-0.042074743658304214,
0.027647005394101143,
-0.33682018518447876,
-0.14505459368228912,
-0.37486064434051514,
-0.09668385237455368,
0.2254825383424759,
-0.07548344135284424,
-0.014169519767165184,
-0.14891423285007477,
0.10138937830924988,
-0.1627759039402008,
0.14726229012012482,
0.1359441578388214,
0.17427416145801544,
-0.20071294903755188,
0.1626322716474533,
-0.01870718225836754,
-0.32956239581108093,
0.22921361029148102,
0.3730611205101013,
0.45728474855422974,
0.17798136174678802,
0.054322630167007446,
0.16411525011062622,
0.7202289700508118,
0.2120823860168457,
0.11296989023685455,
0.1207045465707779,
0.33972135186195374,
-0.09869548678398132,
0.1656608134508133,
-0.2394079566001892,
0.2550591230392456,
-0.17682728171348572,
0.4767408072948456,
0.04971028119325638,
0.2018960416316986,
-0.2010156363248825,
-0.2819044888019562,
-0.030092494562268257,
-0.2980363070964813,
-0.2182210236787796,
0.267738401889801,
-0.20839963853359222,
0.04012451693415642,
-0.07382522523403168,
-0.4009004831314087,
-0.28047361969947815,
-0.06336969882249832,
0.05634457990527153,
0.4238349199295044,
-0.057890329509973526,
0.1724991351366043,
-0.33453837037086487,
-0.06981971859931946,
-0.4045555293560028,
0.05911208689212799,
0.02873910777270794,
0.23816999793052673,
-0.09146839380264282,
-0.06206634268164635,
-0.06574030220508575,
0.16588762402534485,
0.649579644203186,
-0.4798402786254883,
-0.10412192344665527,
0.08365976065397263,
0.0829395279288292,
-0.04358312487602234,
-0.14425024390220642,
-0.24003955721855164,
-0.0459776297211647,
0.4381369948387146,
0.40390917658805847,
-0.3940841853618622,
-0.2811397910118103,
0.19087934494018555,
-0.2568363845348358,
-0.12578079104423523,
-0.23165123164653778,
-0.21141789853572845,
-0.17475780844688416,
-0.14961399137973785,
0.05115014687180519,
0.2645754814147949,
0.21153362095355988,
-0.10403922200202942,
0.1365634649991989,
-0.01972057670354843,
0.2384251356124878,
0.21176375448703766,
-0.014664326794445515,
-0.09972887486219406,
0.24854622781276703,
0.12893997132778168,
0.03632725402712822,
-0.16067320108413696,
-0.34276074171066284,
0.07137423008680344,
0.04164772108197212,
0.13564151525497437,
0.2838734984397888,
-0.008410248905420303,
0.6613308787345886,
0.07134031504392624,
0.38200563192367554,
0.29507148265838623,
-0.03617784008383751,
-0.0069733248092234135,
-0.2792738080024719,
0.13812726736068726,
0.18902549147605896,
0.243909552693367,
-0.19070561230182648,
-0.17326904833316803,
0.5538422465324402,
0.2548622190952301,
-0.10853856056928635,
0.38894709944725037,
-0.5794231295585632,
-0.284702867269516,
0.28209570050239563,
0.0664711445569992,
0.7568147778511047,
-0.022754650563001633,
0.2946831285953522,
0.051072463393211365,
-0.4602009356021881,
0.5372833013534546,
-0.4241020083427429,
0.15177753567695618,
-0.0489807091653347,
-0.1196800023317337,
-0.010852711275219917,
-0.10564876347780228,
-0.10179876536130905,
0.30794018507003784,
-0.33810093998908997,
0.30630987882614136,
0.49197518825531006,
-0.23215728998184204,
-0.07935850322246552,
0.5174072980880737,
0.09096954762935638,
-0.38823652267456055,
0.00893829483538866,
0.008923307992517948,
-0.25484153628349304,
0.16929379105567932,
-0.1970807909965515,
-0.29695209860801697,
0.19138267636299133,
0.12744583189487457,
-0.29909488558769226,
0.08042915910482407,
0.08365561068058014,
0.2613985240459442,
0.3219776153564453,
0.0013861366314813495,
0.30562058091163635,
-0.21544784307479858,
-0.08355750888586044,
-0.18756048381328583,
-0.10171805322170258,
0.16740112006664276,
-0.22281645238399506,
0.07013482600450516,
0.04552379623055458,
-0.18126125633716583,
0.5122030973434448,
-0.077839195728302,
-0.12756991386413574,
-0.27518799901008606,
0.25064849853515625,
-0.45339521765708923,
-0.2337384670972824,
0.14939169585704803,
0.14604708552360535,
0.23558323085308075,
-0.3322305679321289,
0.5851313471794128,
0.08234444260597229,
-0.005585158709436655,
0.01226531807333231,
0.18602275848388672,
-0.20392675697803497,
0.5055802464485168,
-0.3174494206905365,
0.04855186119675636,
0.08217503875494003,
-0.043954454362392426,
-0.11986556649208069,
-0.40590423345565796,
-0.09712442010641098,
0.35435613989830017,
0.09507549554109573,
0.025454746559262276,
-0.0568874292075634,
0.13590510189533234,
-0.12698441743850708,
-0.05918358266353607,
-0.13868758082389832,
-0.3926321864128113,
0.10445529967546463,
0.21058261394500732,
0.20176346600055695,
0.16465343534946442,
-0.07526330649852753,
-0.2580512762069702,
-0.2193695306777954,
0.515089213848114,
-0.026738697662949562,
0.20104695856571198,
-0.16419096291065216,
0.3756382465362549,
0.42429491877555847,
0.5418840050697327,
-0.20867730677127838,
0.06487943232059479,
0.061779361218214035,
0.0810442715883255,
0.3777204751968384,
-0.2797590494155884,
0.04444734379649162,
0.22707724571228027,
-0.18765446543693542,
0.006583585403859615,
-0.27863746881484985,
-0.10919912159442902,
-0.2729393243789673,
0.13855066895484924,
0.14789046347141266,
0.035220373421907425,
-0.0034778721164911985,
-0.0839105173945427,
-0.045493774116039276,
-0.01851394958794117,
-0.061204295605421066,
-0.3870375454425812,
-0.026049574837088585,
0.18790346384048462,
-0.043608658015728,
0.055761706084012985,
0.01792800985276699,
0.2448154240846634,
0.042888104915618896,
-0.06855159252882004,
0.3669426739215851,
0.09157957881689072,
0.1558609902858734,
-0.14030097424983978,
-0.24093985557556152,
0.020428678020834923,
0.23353491723537445,
0.13942976295948029,
-0.009182004258036613,
0.1907387673854828,
-0.23085424304008484,
-0.13711199164390564,
0.16963434219360352,
0.12699483335018158,
0.0751056894659996,
-0.106068454682827,
0.0985284149646759,
0.07580416649580002,
-0.11297909915447235,
-0.023444797843694687,
0.21591253578662872,
0.09666827321052551,
0.04326412454247475,
0.11526913195848465,
0.1418038010597229,
0.49411433935165405,
-0.26620662212371826,
0.08396892249584198,
0.1088300570845604,
-0.3563462495803833,
0.13451845943927765,
-0.15543581545352936,
-0.02022460103034973,
0.029280539602041245,
0.15330460667610168,
-0.01826273277401924,
0.11684251576662064,
-0.35832133889198303,
0.38128581643104553,
0.22113105654716492,
-0.003973303362727165,
0.031030472368001938,
0.2010093778371811,
0.05039365217089653,
-0.23988553881645203,
0.2065342515707016,
0.027465827763080597,
0.28734952211380005,
0.06632690131664276,
0.8376122117042542,
-0.21268734335899353,
-0.38412338495254517,
0.1474454700946808,
0.4088921844959259,
0.0464998222887516,
-0.2087956815958023,
0.16752369701862335,
0.1362491101026535,
-0.37386593222618103,
0.06661008298397064,
0.04919515177607536,
-0.1454668790102005,
0.6858698129653931,
-0.10418234020471573,
0.11888349056243896,
-0.07461710274219513,
-0.2131347954273224,
0.38438981771469116,
0.16913048923015594,
-0.05465083569288254,
-0.06694145500659943,
0.13789913058280945,
-0.11123886704444885,
-0.1763106733560562,
0.49055102467536926,
0.20801778137683868,
0.009057878516614437,
-0.4584711492061615,
0.020228570327162743,
0.12952661514282227,
0.13868196308612823,
-0.05805066600441933,
0.17673447728157043,
0.47014498710632324,
-0.07212276756763458,
0.15682053565979004,
-0.033703774213790894,
-0.010842431336641312,
-0.12366782873868942,
0.042208701372146606,
-0.41784200072288513,
-0.30987945199012756,
0.5140650868415833,
0.09148689359426498,
-0.17002157866954803,
0.09727980196475983,
0.34294167160987854,
-0.6166447997093201,
-0.25685393810272217,
0.2994372546672821,
-0.11552070081233978,
-0.09028048813343048,
-0.23393985629081726,
0.04657304286956787,
0.10411223024129868,
0.6218815445899963,
0.14806951582431793,
0.3906711935997009,
-0.3981970548629761,
-0.10698532313108444,
-0.5736935138702393,
-0.23161567747592926,
0.1399529129266739,
-0.051708731800317764,
-0.1787453442811966,
0.09441910684108734,
-0.06492859870195389,
0.22461514174938202,
-0.2561459243297577,
-0.01942722126841545,
0.213270902633667,
0.09001750499010086,
-0.4094817042350769,
0.16877418756484985,
0.1896282285451889,
0.06828110665082932,
0.3064979612827301,
-0.032203949987888336,
-0.15833881497383118,
0.20729246735572815,
-0.13092076778411865,
-0.1387365758419037,
-0.08773770928382874,
0.24361592531204224,
0.18980973958969116,
0.04684310406446457,
0.021143220365047455,
0.4844200015068054,
-0.004027991555631161,
-0.2120717614889145,
0.010847182013094425,
-0.0026888109277933836,
-0.325647234916687,
-0.17872512340545654,
-0.07713478803634644,
0.20804078876972198,
-0.36006852984428406,
0.29446494579315186,
-0.009957379661500454,
-0.13632415235042572,
0.023876400664448738,
-0.008792412467300892,
-0.2192276418209076,
-0.025523066520690918,
0.03367040678858757,
0.23170892894268036,
0.24931339919567108,
0.6675163507461548,
0.016650671139359474,
0.093211829662323,
-0.08999025821685791,
-0.050489433109760284,
0.026074953377246857,
-0.015022613108158112,
-0.24134965240955353,
-0.14494356513023376,
0.0330267958343029,
0.014686851762235165,
0.18479889631271362,
-0.7851418852806091,
-0.3945769667625427,
-0.021979020908474922,
0.031411588191986084,
0.08482035249471664,
0.7013658881187439,
0.1230233684182167,
-0.17507082223892212,
-0.09732472151517868,
-0.3418373763561249,
0.020175324752926826,
-0.22876331210136414,
0.17516614496707916,
-0.36070144176483154
] |
https://github.com/huggingface/datasets/issues/217 | Multi-task dataset mixing | Another thought: Multitasking over benchmarks (represented as Meta-datasets in nlp) is probably a common use case. Would be nice to pass an entire benchmark to our `MultiDataset` wrapper rather than having to pass individual components. | It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
| 35 | Multi-task dataset mixing
It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
Another thought: Multitasking over benchmarks (represented as Meta-datasets in nlp) is probably a common use case. Would be nice to pass an entire benchmark to our `MultiDataset` wrapper rather than having to pass individual components. | [
-0.06561174988746643,
-0.37235522270202637,
-0.06819324940443039,
-0.04926852136850357,
-0.28527209162712097,
0.1337665617465973,
0.21648046374320984,
0.12065233290195465,
0.3021678328514099,
-0.14211761951446533,
-0.1687692254781723,
0.3203652799129486,
-0.16379931569099426,
0.348694384098053,
0.4185856580734253,
-0.41218018531799316,
0.031688325107097626,
-0.21076597273349762,
-0.21456031501293182,
0.4246898889541626,
0.06257869303226471,
0.08338536322116852,
-0.16562999784946442,
0.10172665864229202,
-0.29676759243011475,
-0.18775197863578796,
-0.3303470015525818,
0.12289752066135406,
0.18027456104755402,
-0.006745833437889814,
0.21674251556396484,
0.3386637270450592,
-0.005248019937425852,
0.07626061886548996,
-0.00011275352881057188,
-0.07976435124874115,
0.21804840862751007,
-0.05337457358837128,
0.10312952846288681,
-0.013962449505925179,
0.1930619180202484,
-0.3639012575149536,
0.04667546972632408,
-0.10680344700813293,
0.1687580645084381,
0.19356893002986908,
0.17223447561264038,
-0.0764036476612091,
0.34126436710357666,
-0.25450170040130615,
0.10234137624502182,
0.31566810607910156,
-0.23991118371486664,
0.2976696491241455,
-0.11138324439525604,
-0.08681972324848175,
0.011975322850048542,
0.24389155209064484,
0.6718506217002869,
-0.627389669418335,
-0.06007206812500954,
0.057242199778556824,
-0.032386068254709244,
0.04977758973836899,
0.09267529100179672,
-0.13015539944171906,
-0.3021050989627838,
-0.2108955681324005,
-0.3377222716808319,
0.25109902024269104,
-0.15973052382469177,
-0.13706067204475403,
-0.22889825701713562,
-0.5552752614021301,
-0.013058805838227272,
0.05129188671708107,
-0.30808937549591064,
0.03183281794190407,
-0.17259611189365387,
-0.006247504614293575,
-0.10114488005638123,
-0.12405438721179962,
0.05755409598350525,
0.0890997052192688,
0.3357069194316864,
0.5584859848022461,
0.120794378221035,
0.17407916486263275,
0.3698946237564087,
0.07315339148044586,
-0.08478503674268723,
-0.25911855697631836,
0.2741997539997101,
0.1001642718911171,
-0.4158080220222473,
-0.3103587329387665,
0.13953252136707306,
-0.23301154375076294,
0.3023063540458679,
0.09700202941894531,
0.13515329360961914,
0.11098421365022659,
-0.12362248450517654,
0.273695170879364,
0.340285062789917,
0.03425595164299011,
-0.07769939303398132,
-0.16922681033611298,
0.010786185972392559,
-0.14165501296520233,
0.18027468025684357,
0.11355353146791458,
0.2074793130159378,
0.025804204866290092,
-0.4392688572406769,
-0.13691210746765137,
-0.22847962379455566,
0.16348838806152344,
-0.2595623731613159,
-0.568891167640686,
-0.11211668699979782,
-0.09568798542022705,
0.06208180636167526,
-0.13887612521648407,
-0.26140186190605164,
0.13918156921863556,
-0.0921638086438179,
0.2695342004299164,
-0.068855419754982,
0.006288500968366861,
-0.05109172686934471,
0.0879676416516304,
-0.45554277300834656,
-0.010129055008292198,
0.33236202597618103,
0.10064975172281265,
0.08620436489582062,
0.1457320749759674,
-0.019783884286880493,
0.062232453376054764,
0.3870140314102173,
0.011977208778262138,
-0.0044589294120669365,
-0.012135263532400131,
0.18673965334892273,
-0.31405556201934814,
0.029218709096312523,
0.18315273523330688,
-0.33685457706451416,
-0.0813511461019516,
-0.1455327272415161,
-0.1486731618642807,
0.14257434010505676,
0.032133061438798904,
-0.22536812722682953,
-0.2860386073589325,
-0.5482081174850464,
0.6673360466957092,
-0.011244986206293106,
-0.0629957839846611,
-0.1631249636411667,
0.3023529648780823,
-0.30237749218940735,
-0.09309008717536926,
0.17095202207565308,
0.013164771720767021,
0.021747848019003868,
-0.27748388051986694,
-0.1617572009563446,
-0.07043283432722092,
-0.10190138965845108,
0.31535136699676514,
-0.19219155609607697,
0.30844148993492126,
0.04201120510697365,
0.17138834297657013,
0.23466965556144714,
-0.4846600890159607,
-0.03291591256856918,
0.3313530683517456,
-0.07133078575134277,
0.4018954336643219,
0.05024728178977966,
0.22615347802639008,
0.05564466491341591,
-0.17824988067150116,
0.23286080360412598,
0.9699894189834595,
-0.38806721568107605,
0.009526207111775875,
-0.08592972904443741,
-0.39205941557884216,
0.543384313583374,
0.3569904863834381,
0.05959482118487358,
-0.24156570434570312,
-0.14711597561836243,
-0.012278212234377861,
0.08712279796600342,
0.1098291352391243,
0.09951669722795486,
-0.07516547292470932,
-0.4207242727279663,
0.023374594748020172,
-0.2236107438802719,
-0.1986401230096817,
-0.43184441328048706,
0.01817844994366169,
0.021139616146683693,
0.22960275411605835,
0.3293685019016266,
-0.13701984286308289,
0.24782653152942657,
-0.27949923276901245,
-0.04655004292726517,
-0.37557780742645264,
0.12504081428050995,
-0.051529593765735626,
0.00891288835555315,
-0.20238712430000305,
-0.04816122353076935,
0.35677435994148254,
0.17522454261779785,
-0.12952175736427307,
-0.39121297001838684,
0.3071177899837494,
-0.05294416472315788,
0.03812476247549057,
-0.04055449739098549,
0.6141854524612427,
-0.21523283421993256,
-0.057151127606630325,
0.18919044733047485,
0.24514171481132507,
-0.2727408707141876,
0.2884795665740967,
0.35366785526275635,
0.2753917872905731,
0.19267569482326508,
-0.035916704684495926,
0.05417722091078758,
0.06028116121888161,
-0.03294999524950981,
-0.2539367973804474,
-0.051722876727581024,
0.49388599395751953,
-0.12789475917816162,
0.46705785393714905,
-0.06947580724954605,
0.05351877212524414,
-0.14168433845043182,
-0.03650076687335968,
-0.1959547996520996,
0.4411691427230835,
0.29005083441734314,
-0.21228156983852386,
0.3862041234970093,
-0.10933732986450195,
-0.31891047954559326,
0.17448939383029938,
0.13803315162658691,
0.05124538391828537,
0.06468228250741959,
-0.00907236710190773,
-0.03657002002000809,
-0.2727172076702118,
-0.07160243391990662,
0.37076741456985474,
0.6577776670455933,
0.2386052906513214,
0.17744724452495575,
0.01481762994080782,
-0.229314386844635,
-0.08080202341079712,
-0.031207330524921417,
0.19398164749145508,
0.026520121842622757,
0.0988892987370491,
0.013474198058247566,
0.02231714315712452,
0.048615165054798126,
-0.14007893204689026,
0.15098941326141357,
-0.16983912885189056,
-0.009785136207938194,
0.041374027729034424,
-0.22050830721855164,
-0.5566989779472351,
-0.21707621216773987,
0.0291738361120224,
-0.3283436894416809,
-0.2532232999801636,
0.1027173399925232,
0.12225008010864258,
-0.13139201700687408,
0.15123379230499268,
0.23217691481113434,
0.6160982847213745,
-0.4460153877735138,
-0.26886478066444397,
-0.08353522419929504,
-0.300821989774704,
-0.1132342666387558,
0.12900172173976898,
0.45876023173332214,
0.3014472424983978,
0.38529637455940247,
0.3329300582408905,
-0.009069367311894894,
-0.021664466708898544,
-0.3423925042152405,
-0.038963720202445984,
-0.25041428208351135,
0.2589895725250244,
0.03648321330547333,
-0.24169927835464478,
0.1447736769914627,
-0.38711991906166077,
-0.07622957229614258,
-0.07680220901966095,
-0.07060439139604568,
-0.08701073378324509,
0.03128569945693016,
0.14604739844799042,
-0.185271218419075,
-0.15247845649719238,
-0.585279107093811,
-0.47434401512145996,
0.2974986433982849,
-0.2947559654712677,
0.05387405306100845,
-0.10809881240129471,
-0.3133614659309387,
0.1933501660823822,
-0.12611332535743713,
-0.01943228952586651,
-0.13752536475658417,
-0.09073184430599213,
-0.05549491196870804,
-0.3396887183189392,
-0.15744979679584503,
-0.39757734537124634,
-0.08305011689662933,
0.2783394455909729,
-0.049361784011125565,
-0.04247894510626793,
-0.15597358345985413,
0.13113895058631897,
-0.15483514964580536,
0.060068223625421524,
0.09263822436332703,
0.17417538166046143,
-0.2363424152135849,
0.1292828619480133,
-0.028270643204450607,
-0.2620979845523834,
0.236829936504364,
0.2830857038497925,
0.37461957335472107,
0.17052774131298065,
0.022373829036951065,
0.2380325198173523,
0.701531171798706,
0.2394607663154602,
0.054874494671821594,
0.16642321646213531,
0.2817082107067108,
-0.023641221225261688,
0.11926227062940598,
-0.21993127465248108,
0.15194275975227356,
-0.18846170604228973,
0.4781728982925415,
0.10397280007600784,
0.15760914981365204,
-0.25659728050231934,
-0.2707083225250244,
0.030139975249767303,
-0.2531310021877289,
-0.1704380214214325,
0.2132001519203186,
-0.31595462560653687,
0.033423494547605515,
-0.06611885875463486,
-0.39819571375846863,
-0.22175024449825287,
-0.018919363617897034,
-0.014532617293298244,
0.288003534078598,
-0.042994070798158646,
0.1606457680463791,
-0.33520305156707764,
-0.031863775104284286,
-0.4085689187049866,
0.11785263568162918,
0.09698854386806488,
0.33181220293045044,
-0.08659715205430984,
-0.0450323224067688,
-0.08494308590888977,
0.11186149716377258,
0.552223265171051,
-0.4672248065471649,
-0.09274476021528244,
0.10849882662296295,
0.06989079713821411,
-0.09652066975831985,
-0.08832426369190216,
-0.22059988975524902,
0.045805998146533966,
0.4289891719818115,
0.36070746183395386,
-0.2990396022796631,
-0.28864550590515137,
0.15508979558944702,
-0.21957744657993317,
-0.048654887825250626,
-0.1847693920135498,
-0.21510864794254303,
-0.1798703819513321,
-0.1340259164571762,
0.06568842381238937,
0.2318376898765564,
0.21855074167251587,
-0.08076146990060806,
0.15293222665786743,
-0.11033478379249573,
0.15788602828979492,
0.1860542595386505,
-0.04371156543493271,
-0.09453758597373962,
0.15243034064769745,
0.20288020372390747,
0.013335631228983402,
-0.15375544130802155,
-0.30702725052833557,
0.021048402413725853,
0.013778520748019218,
0.1322283297777176,
0.24650128185749054,
-0.017967589199543,
0.6386029124259949,
-0.04344050958752632,
0.307864785194397,
0.3434130549430847,
-0.15040166676044464,
-0.0601094625890255,
-0.2892884910106659,
0.16420325636863708,
0.18684616684913635,
0.25749412178993225,
-0.12326885014772415,
-0.18717561662197113,
0.572580099105835,
0.33587220311164856,
-0.06958118081092834,
0.45397359132766724,
-0.5722924470901489,
-0.31260812282562256,
0.24356500804424286,
0.0592392161488533,
0.577468991279602,
-0.08398009091615677,
0.26166024804115295,
-0.019968749955296516,
-0.4101733863353729,
0.5315446853637695,
-0.3737443685531616,
0.153408020734787,
-0.0518803596496582,
-0.24385517835617065,
0.020600950345396996,
-0.08406249433755875,
-0.007088113110512495,
0.3127880394458771,
-0.32291707396507263,
0.3246549665927887,
0.4892112910747528,
-0.2282962203025818,
-0.0012170264963060617,
0.5655282735824585,
0.025864817202091217,
-0.37018048763275146,
0.016942718997597694,
0.06858373433351517,
-0.29029569029808044,
0.08191970735788345,
-0.15320679545402527,
-0.21072736382484436,
0.2203502207994461,
0.1797533482313156,
-0.3520199656486511,
0.058837831020355225,
0.02680482342839241,
0.21443995833396912,
0.20536483824253082,
0.035367924720048904,
0.28780093789100647,
-0.17419666051864624,
-0.06097088009119034,
-0.15786224603652954,
-0.08689096570014954,
0.12871581315994263,
-0.19305986166000366,
0.03640541061758995,
0.09449757635593414,
-0.20959539711475372,
0.4564695358276367,
-0.06033085286617279,
-0.1451978236436844,
-0.22870008647441864,
0.27023670077323914,
-0.5092930793762207,
-0.14957062900066376,
0.1981714367866516,
0.1473064422607422,
0.28635239601135254,
-0.29994669556617737,
0.5590229630470276,
0.10002853721380234,
-0.015114538371562958,
0.041535742580890656,
0.19969813525676727,
-0.23633138835430145,
0.5029979944229126,
-0.3028038740158081,
-0.015230927616357803,
0.06073099747300148,
0.056797947734594345,
-0.14584985375404358,
-0.3981849253177643,
-0.07032763212919235,
0.2884267568588257,
0.14057889580726624,
-0.0045674690045416355,
0.05541439354419708,
0.09924281388521194,
0.05065260827541351,
0.019722815603017807,
-0.200583353638649,
-0.32429245114326477,
0.1335984468460083,
0.1471765637397766,
0.203813374042511,
0.22745738923549652,
-0.09523485600948334,
-0.30265945196151733,
-0.19763019680976868,
0.4594477713108063,
-0.029068946838378906,
0.1782679408788681,
-0.1285366415977478,
0.34765616059303284,
0.4074634909629822,
0.5269008874893188,
-0.24591681361198425,
0.11764306575059891,
0.04560895264148712,
0.1269553154706955,
0.5051094889640808,
-0.21541810035705566,
-0.004284779541194439,
0.3125101625919342,
-0.13643251359462738,
0.06286756694316864,
-0.26634275913238525,
-0.16179129481315613,
-0.1922886073589325,
0.10798437893390656,
0.12295644730329514,
0.025694487616419792,
0.02970549650490284,
-0.1108931377530098,
-0.09539131820201874,
-0.04093518853187561,
-0.05580670386552811,
-0.3989925980567932,
-0.061246778815984726,
0.09844289720058441,
-0.0674811378121376,
0.07659336924552917,
0.024724137037992477,
0.2167937010526657,
-0.03503909334540367,
-0.12325549125671387,
0.24483513832092285,
0.1176038384437561,
0.1735721081495285,
-0.15246327221393585,
-0.16086594760417938,
-0.036695703864097595,
0.22497326135635376,
0.14430338144302368,
-0.05042271316051483,
0.19050471484661102,
-0.2337227463722229,
-0.07541338354349136,
0.24634672701358795,
0.10478583723306656,
0.09123043715953827,
-0.08847726881504059,
0.1727253496646881,
0.10370089113712311,
-0.0844673290848732,
-0.020609624683856964,
0.23100921511650085,
0.059598084539175034,
0.11645391583442688,
0.13184809684753418,
0.19638805091381073,
0.46792417764663696,
-0.18571552634239197,
-0.0031029274687170982,
0.11268236488103867,
-0.38476085662841797,
0.12622179090976715,
-0.18793395161628723,
-0.07245881110429764,
-0.0286669060587883,
0.13434544205665588,
-0.017931552603840828,
0.13674604892730713,
-0.2621411383152008,
0.33800071477890015,
0.388969749212265,
0.0716753602027893,
-0.007467829622328281,
0.22169528901576996,
0.06501366943120956,
-0.1531662940979004,
0.25695472955703735,
0.05426430702209473,
0.30022236704826355,
0.012246371246874332,
0.83601975440979,
-0.3240251839160919,
-0.4433019757270813,
0.11316070705652237,
0.3656110167503357,
0.051836058497428894,
-0.21638809144496918,
0.2377728819847107,
0.13523784279823303,
-0.336312860250473,
0.08761145174503326,
0.06379051506519318,
-0.18096208572387695,
0.7053232192993164,
-0.13340464234352112,
0.1490318477153778,
-0.08333388715982437,
-0.2459763139486313,
0.36664894223213196,
0.11514912545681,
-0.07119155675172806,
-0.0004825464857276529,
0.057085711508989334,
-0.11510665714740753,
-0.17619846761226654,
0.5325781106948853,
0.18094295263290405,
0.018203645944595337,
-0.44259923696517944,
0.010071126744151115,
0.014930172823369503,
0.1756376475095749,
-0.07289597392082214,
0.17742693424224854,
0.44115424156188965,
-0.18200452625751495,
0.24563774466514587,
0.0059405057691037655,
-0.046177953481674194,
-0.1398252695798874,
0.04684950411319733,
-0.4108142852783203,
-0.4485563337802887,
0.4289400577545166,
0.07663799822330475,
-0.12908443808555603,
0.08759141713380814,
0.36286309361457825,
-0.5635625123977661,
-0.25134116411209106,
0.3186551630496979,
-0.2019166350364685,
-0.13163213431835175,
-0.20967769622802734,
0.08235731720924377,
0.04996441677212715,
0.6422712206840515,
0.20109859108924866,
0.3915330171585083,
-0.35836318135261536,
-0.1792929619550705,
-0.5960267782211304,
-0.1786126345396042,
0.08641727268695831,
-0.08518611639738083,
-0.2282562553882599,
0.15490640699863434,
-0.11009465157985687,
0.33917391300201416,
-0.17584434151649475,
0.07582426816225052,
0.2411528080701828,
0.00003824974555755034,
-0.4148184359073639,
0.0921235978603363,
0.12537753582000732,
-0.017391137778759003,
0.2854139506816864,
-0.10768546164035797,
-0.144165500998497,
0.12176575511693954,
-0.07111327350139618,
-0.07582549005746841,
-0.11642738431692123,
0.2526828646659851,
0.15655504167079926,
0.10558995604515076,
0.010083803907036781,
0.45129111409187317,
0.01785186491906643,
-0.1485956460237503,
-0.05152207240462303,
0.03749065473675728,
-0.35272181034088135,
-0.18147192895412445,
-0.1022651344537735,
0.14909912645816803,
-0.4346381425857544,
0.29576921463012695,
0.021366244181990623,
-0.061808113008737564,
0.1016726940870285,
0.005677744746208191,
-0.25479835271835327,
-0.05856207385659218,
0.03143671900033951,
0.19942878186702728,
0.2543525993824005,
0.7323930859565735,
-0.002326537389308214,
0.1040789857506752,
-0.05692066624760628,
0.030946198850870132,
-0.02811802551150322,
-0.08862321823835373,
-0.2501007914543152,
-0.13463057577610016,
0.05298857390880585,
0.07657445967197418,
0.08411630243062973,
-0.6738635301589966,
-0.4056534767150879,
0.0536898598074913,
0.022415820509195328,
0.0578993521630764,
0.7152572274208069,
0.027555424720048904,
-0.12574444711208344,
-0.1139773279428482,
-0.38882318139076233,
0.008580038323998451,
-0.2279847264289856,
0.21922355890274048,
-0.4018602967262268
] |
https://github.com/huggingface/datasets/issues/217 | Multi-task dataset mixing | Here's a fully working implementation based on the `__iter__` function of @zphang.
- I've generated the task choice list in the constructor as it allows us to index into the MultiDataset just like a normal dataset. I'm changing `task_choice_list` into a list of `(dataset_idx, example_idx)` so each entry references a unique dataset example. The shuffling has to be done before this as we don't want to shuffle within each task (we assume this is done by the user if this is what they intend).
- I'm slightly concerned this list could become very large if many large datasets were used. Can't see a way round it at the moment though.
- I've used `task.info.builder_name` as the dataset name. Not sure if this is correct.
- I'd love to add some of the other `Dataset` methods (map, slicing by column, etc...). Would be great to implement the whole interface so a single dataset can be simply replaced by this.
- This does everything on the individual example-level. If some application required batches all from a single task in turn we can't really do that.
```python
import nlp
import numpy as np
class MultiDataset:
def __init__(self,tasks):
self.tasks = tasks
# Create random order of tasks
# Using size-proportional sampling
task_choice_list = []
for i, task in enumerate(self.tasks):
task_choice_list += [i] * len(task)
task_choice_list = np.array(task_choice_list)
np.random.shuffle(task_choice_list)
# Add index into each dataset
# - We don't want to shuffle within each task
counters = {}
self.task_choice_list = []
for i in range(len(task_choice_list)):
idx = counters.get(task_choice_list[i],0)
self.task_choice_list.append((task_choice_list[i],idx))
counters[task_choice_list[i]] = idx + 1
def __len__(self):
return np.sum([len(t) for t in self.tasks])
def __repr__(self):
task_str = ", ".join([str(t) for t in self.tasks])
return f"MultiDataset(tasks: {task_str})"
def __getitem__(self,key):
if isinstance(key, int):
task_idx, example_idx = self.task_choice_list[key]
task = self.tasks[task_idx]
example = task[example_idx]
example["task_name"] = task.info.builder_name
return example
elif isinstance(key, slice):
raise NotImplementedError()
def __iter__(self):
for i in range(len(self)):
yield self[i]
def load_multitask(*datasets):
'''Create multitask datasets per split'''
def _get_common_splits(datasets):
'''Finds the common splits present in all self.datasets'''
min_set = None
for dataset in datasets:
if min_set != None:
min_set.intersection(set(dataset.keys()))
else:
min_set = set(dataset.keys())
return min_set
common_splits = _get_common_splits(datasets)
out = {}
for split in common_splits:
out[split] = MultiDataset([d[split] for d in datasets])
return out
##########################################
# Dataset Flattening
def flatten(dataset,flatten_fn):
for k in dataset.keys():
if isinstance(dataset[k],nlp.Dataset):
dataset[k] = dataset[k].map(flatten_fn,remove_columns=dataset[k].column_names)
# Squad
def flatten_squad(example):
return {"source": "squad context: " + example['context'] + " question: " + example['question'],
"target":example["answers"]["text"]}
squad = nlp.load_dataset("squad")
flatten(squad,flatten_squad)
# CNN_DM
def flatten_cnn_dm(example):
return {"source": "cnn_dm: " + example['article'],"target":[example["highlights"]]}
cnn_dm = nlp.load_dataset("cnn_dailymail", "3.0.0")
flatten(cnn_dm,flatten_cnn_dm)
#############################################
mtds = load_multitask(squad,cnn_dm)
for example in mtds["train"]:
print(example["task_name"],example["target"])
```
Let me know if you have any thoughts. I've started using this in some of my projects and it seems to work. If people are happy with the general approach for a first version, I can make a pull request. | It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
| 469 | Multi-task dataset mixing
It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
Here's a fully working implementation based on the `__iter__` function of @zphang.
- I've generated the task choice list in the constructor as it allows us to index into the MultiDataset just like a normal dataset. I'm changing `task_choice_list` into a list of `(dataset_idx, example_idx)` so each entry references a unique dataset example. The shuffling has to be done before this as we don't want to shuffle within each task (we assume this is done by the user if this is what they intend).
- I'm slightly concerned this list could become very large if many large datasets were used. Can't see a way round it at the moment though.
- I've used `task.info.builder_name` as the dataset name. Not sure if this is correct.
- I'd love to add some of the other `Dataset` methods (map, slicing by column, etc...). Would be great to implement the whole interface so a single dataset can be simply replaced by this.
- This does everything on the individual example-level. If some application required batches all from a single task in turn we can't really do that.
```python
import nlp
import numpy as np
class MultiDataset:
def __init__(self,tasks):
self.tasks = tasks
# Create random order of tasks
# Using size-proportional sampling
task_choice_list = []
for i, task in enumerate(self.tasks):
task_choice_list += [i] * len(task)
task_choice_list = np.array(task_choice_list)
np.random.shuffle(task_choice_list)
# Add index into each dataset
# - We don't want to shuffle within each task
counters = {}
self.task_choice_list = []
for i in range(len(task_choice_list)):
idx = counters.get(task_choice_list[i],0)
self.task_choice_list.append((task_choice_list[i],idx))
counters[task_choice_list[i]] = idx + 1
def __len__(self):
return np.sum([len(t) for t in self.tasks])
def __repr__(self):
task_str = ", ".join([str(t) for t in self.tasks])
return f"MultiDataset(tasks: {task_str})"
def __getitem__(self,key):
if isinstance(key, int):
task_idx, example_idx = self.task_choice_list[key]
task = self.tasks[task_idx]
example = task[example_idx]
example["task_name"] = task.info.builder_name
return example
elif isinstance(key, slice):
raise NotImplementedError()
def __iter__(self):
for i in range(len(self)):
yield self[i]
def load_multitask(*datasets):
'''Create multitask datasets per split'''
def _get_common_splits(datasets):
'''Finds the common splits present in all self.datasets'''
min_set = None
for dataset in datasets:
if min_set != None:
min_set.intersection(set(dataset.keys()))
else:
min_set = set(dataset.keys())
return min_set
common_splits = _get_common_splits(datasets)
out = {}
for split in common_splits:
out[split] = MultiDataset([d[split] for d in datasets])
return out
##########################################
# Dataset Flattening
def flatten(dataset,flatten_fn):
for k in dataset.keys():
if isinstance(dataset[k],nlp.Dataset):
dataset[k] = dataset[k].map(flatten_fn,remove_columns=dataset[k].column_names)
# Squad
def flatten_squad(example):
return {"source": "squad context: " + example['context'] + " question: " + example['question'],
"target":example["answers"]["text"]}
squad = nlp.load_dataset("squad")
flatten(squad,flatten_squad)
# CNN_DM
def flatten_cnn_dm(example):
return {"source": "cnn_dm: " + example['article'],"target":[example["highlights"]]}
cnn_dm = nlp.load_dataset("cnn_dailymail", "3.0.0")
flatten(cnn_dm,flatten_cnn_dm)
#############################################
mtds = load_multitask(squad,cnn_dm)
for example in mtds["train"]:
print(example["task_name"],example["target"])
```
Let me know if you have any thoughts. I've started using this in some of my projects and it seems to work. If people are happy with the general approach for a first version, I can make a pull request. | [
-0.0021333603654056787,
-0.3933575451374054,
-0.04490913450717926,
0.011328889057040215,
-0.22390766441822052,
0.021761232987046242,
0.1978977620601654,
0.027536379173398018,
0.4143022894859314,
-0.19782723486423492,
-0.23707053065299988,
0.3982107639312744,
-0.19453275203704834,
0.3028287887573242,
0.35159656405448914,
-0.40193241834640503,
-0.022123174741864204,
-0.2419825792312622,
-0.2949594557285309,
0.3513539731502533,
0.0604415126144886,
0.1977684646844864,
-0.21249979734420776,
0.06919216364622116,
-0.21596850454807281,
-0.1789112240076065,
-0.35519078373908997,
0.15981405973434448,
0.08680301159620285,
0.008535332046449184,
0.2525813579559326,
0.420715868473053,
-0.04791150614619255,
0.17200107872486115,
-0.00011538729449966922,
-0.04062880948185921,
0.22244973480701447,
-0.1226240023970604,
0.05334274098277092,
-0.06257646530866623,
0.17279627919197083,
-0.4180442988872528,
0.0764215737581253,
-0.1779252290725708,
0.16830509901046753,
0.15077154338359833,
0.12851455807685852,
0.01803109422326088,
0.39563167095184326,
-0.2608160078525543,
0.10167468339204788,
0.31338343024253845,
-0.15474624931812286,
0.32001397013664246,
-0.13475899398326874,
-0.021238407120108604,
0.025054901838302612,
0.2562727928161621,
0.6043381094932556,
-0.5478275418281555,
-0.03985998407006264,
0.09073184430599213,
0.02038188837468624,
-0.08250822871923447,
0.12837646901607513,
-0.027154872193932533,
-0.3430265486240387,
-0.2517932951450348,
-0.3898301124572754,
0.22086505591869354,
-0.058725327253341675,
-0.1800946146249771,
-0.22417034208774567,
-0.5440161228179932,
-0.05742178484797478,
0.0014681450556963682,
-0.20001594722270966,
-0.09796605259180069,
-0.20692327618598938,
-0.07884522527456284,
-0.08055754005908966,
-0.1003153920173645,
-0.05526085942983627,
0.1227867603302002,
0.28622671961784363,
0.5722639560699463,
0.09168506413698196,
0.1695953905582428,
0.41128870844841003,
-0.003769771894440055,
-0.10389386862516403,
-0.27631959319114685,
0.2890004515647888,
0.10878820717334747,
-0.46526631712913513,
-0.3517702519893646,
0.20772352814674377,
-0.273562490940094,
0.24205534160137177,
0.11815501004457474,
0.12676817178726196,
0.14092056453227997,
-0.1725960075855255,
0.2350257784128189,
0.3101998567581177,
0.16164416074752808,
-0.08544246852397919,
-0.14018550515174866,
-0.04084446281194687,
-0.1004975438117981,
0.26056796312332153,
0.0931038111448288,
0.13976232707500458,
-0.024155663326382637,
-0.4383578300476074,
-0.11291621625423431,
-0.19020836055278778,
0.17506897449493408,
-0.23685778677463531,
-0.4651108682155609,
-0.11562272161245346,
-0.13347367942333221,
0.16438128054141998,
-0.08931661397218704,
-0.3263590931892395,
0.09385742247104645,
-0.06360576301813126,
0.22851437330245972,
-0.16430990397930145,
0.09540671855211258,
-0.05092420056462288,
0.07936499267816544,
-0.42001965641975403,
-0.10349620133638382,
0.30415675044059753,
0.20076106488704681,
0.08877851068973541,
0.10183301568031311,
0.04135487601161003,
0.16144442558288574,
0.3386403024196625,
-0.01858961023390293,
0.07116810232400894,
-0.006750461645424366,
0.17005905508995056,
-0.24186667799949646,
0.023633666336536407,
0.08572143316268921,
-0.32762855291366577,
-0.14327862858772278,
-0.11624511331319809,
-0.17121246457099915,
0.09555145353078842,
0.001572210225276649,
-0.24700219929218292,
-0.21890287101268768,
-0.5296893119812012,
0.6929865479469299,
0.00901296641677618,
-0.07522574812173843,
-0.17376162111759186,
0.21700386703014374,
-0.224966898560524,
-0.11346238851547241,
0.18577522039413452,
0.13063377141952515,
-0.01946037821471691,
-0.2366185039281845,
-0.08683909475803375,
-0.1156580001115799,
0.00779843470081687,
0.25118863582611084,
-0.17226935923099518,
0.31110909581184387,
0.0009650260908529162,
0.2511013150215149,
0.26969850063323975,
-0.45747435092926025,
-0.08002308011054993,
0.29960501194000244,
-0.07061327993869781,
0.4915623664855957,
0.06509673595428467,
0.20209074020385742,
0.019948167726397514,
-0.20112159848213196,
0.2741645872592926,
0.9725066423416138,
-0.3398759067058563,
-0.04546623304486275,
-0.13535164296627045,
-0.3082440197467804,
0.5843707323074341,
0.29365116357803345,
0.046059396117925644,
-0.23651723563671112,
-0.16255471110343933,
0.025136223062872887,
0.13693960011005402,
0.11461346596479416,
0.10209669172763824,
-0.04339649900794029,
-0.31103450059890747,
0.06801392883062363,
-0.16123950481414795,
-0.13331149518489838,
-0.43702399730682373,
0.037815142422914505,
0.046109337359666824,
0.34421613812446594,
0.1861216127872467,
-0.04249940812587738,
0.20138134062290192,
-0.2429167479276657,
-0.20070238411426544,
-0.32318738102912903,
0.1282242238521576,
-0.034077487885951996,
-0.006764936726540327,
-0.32578399777412415,
-0.04058946669101715,
0.3911014497280121,
0.11225391924381256,
-0.1496472954750061,
-0.5206971764564514,
0.2977626919746399,
-0.08318737149238586,
0.0701504647731781,
0.00024075244436971843,
0.6380759477615356,
-0.09240604937076569,
-0.13536162674427032,
0.18318288028240204,
0.3113521635532379,
-0.2477383315563202,
0.14652997255325317,
0.3683392107486725,
0.17878352105617523,
0.1724848747253418,
-0.0537877194583416,
0.04117901250720024,
0.014778828248381615,
0.06409084796905518,
-0.25408563017845154,
-0.04174485802650452,
0.49793940782546997,
-0.20704413950443268,
0.4949685335159302,
-0.05947204306721687,
0.09615954756736755,
-0.07771971076726913,
0.003605868434533477,
-0.21134988963603973,
0.41704630851745605,
0.2573401927947998,
-0.16382719576358795,
0.3197738826274872,
-0.17490975558757782,
-0.38928598165512085,
0.21817058324813843,
0.1477797031402588,
0.05071171745657921,
-0.023939797654747963,
-0.004027349874377251,
-0.004173393361270428,
-0.2835718095302582,
-0.08406389504671097,
0.25929099321365356,
0.672740638256073,
0.21467293798923492,
0.17579330503940582,
-0.0035534724593162537,
-0.21288920938968658,
-0.07563218474388123,
0.01703449711203575,
0.21315525472164154,
-0.01838487572968006,
0.1383441686630249,
0.06322697550058365,
0.055012695491313934,
0.02725956216454506,
-0.1688724309206009,
0.16363899409770966,
-0.15025147795677185,
-0.11828155815601349,
0.11910311132669449,
-0.240086168050766,
-0.6449177861213684,
-0.1902627795934677,
-0.005380993243306875,
-0.33743414282798767,
-0.3379833400249481,
0.061977531760931015,
0.09609219431877136,
-0.09279263764619827,
0.17458797991275787,
0.3390875458717346,
0.5370786786079407,
-0.422608882188797,
-0.2787003219127655,
-0.0702023059129715,
-0.3130028247833252,
-0.22870545089244843,
0.10595978051424026,
0.4761104881763458,
0.3147263526916504,
0.43627244234085083,
0.33345988392829895,
-0.0783115029335022,
-0.011106290854513645,
-0.40816861391067505,
0.07382749766111374,
-0.3157113492488861,
0.25911790132522583,
0.10779257863759995,
-0.16198229789733887,
0.15699651837348938,
-0.36640769243240356,
-0.05446052923798561,
0.025672148913145065,
-0.1082521453499794,
0.005735683720558882,
-0.0213202815502882,
0.06178341805934906,
-0.2249409258365631,
-0.20574027299880981,
-0.6049152612686157,
-0.3986763060092926,
0.33175206184387207,
-0.2684570550918579,
0.15955175459384918,
0.11135060340166092,
-0.29019060730934143,
0.2159576267004013,
-0.0665777176618576,
-0.03549874946475029,
-0.1976851224899292,
-0.02661256492137909,
0.04863744601607323,
-0.3335723578929901,
-0.2293011099100113,
-0.3334794044494629,
-0.08374940603971481,
0.28511953353881836,
-0.060613855719566345,
-0.01924082823097706,
-0.21448449790477753,
0.13713322579860687,
-0.09409260749816895,
0.11316557973623276,
0.18199342489242554,
0.2623929977416992,
-0.22190843522548676,
0.1516171246767044,
-0.1329754889011383,
-0.337842732667923,
0.28923583030700684,
0.30653244256973267,
0.466779500246048,
0.26281359791755676,
0.059581559151411057,
0.19852980971336365,
0.7363934516906738,
0.2467268407344818,
0.030771398916840553,
0.16282251477241516,
0.24470698833465576,
-0.008579007349908352,
0.1286430060863495,
-0.29556092619895935,
0.24368086457252502,
-0.2057005763053894,
0.489104688167572,
0.04684245213866234,
0.12142498046159744,
-0.27849870920181274,
-0.3198148310184479,
0.09729424864053726,
-0.29605594277381897,
-0.24099378287792206,
0.22886072099208832,
-0.22867809236049652,
-0.02966860681772232,
-0.04629133269190788,
-0.3796521723270416,
-0.3028077781200409,
-0.03775918111205101,
0.024953672662377357,
0.36506667733192444,
-0.08353592455387115,
0.1451675295829773,
-0.3331812918186188,
-0.05883107706904411,
-0.47370147705078125,
0.11649084091186523,
0.027234310284256935,
0.3008979856967926,
-0.07650738954544067,
-0.10251417756080627,
-0.0961405336856842,
0.09850406646728516,
0.7110227942466736,
-0.44423359632492065,
-0.14522895216941833,
0.14357218146324158,
0.09769883751869202,
-0.09330236911773682,
-0.12175717204809189,
-0.2865290939807892,
0.11032100766897202,
0.5207920670509338,
0.3619169294834137,
-0.45472946763038635,
-0.26354825496673584,
0.1425701230764389,
-0.2180933952331543,
-0.04638401418924332,
-0.18992455303668976,
-0.25059476494789124,
-0.2670263350009918,
-0.09710831940174103,
0.04224763065576553,
0.22509320080280304,
0.27964064478874207,
-0.11629268527030945,
0.21690602600574493,
-0.07204923778772354,
0.17009669542312622,
0.21983112394809723,
0.0008594237733632326,
-0.02683510258793831,
0.25667092204093933,
0.14444349706172943,
0.08391444385051727,
-0.0964151993393898,
-0.35581180453300476,
0.12449466437101364,
-0.02867567352950573,
0.13755163550376892,
0.34512564539909363,
-0.06954682618379593,
0.5981538891792297,
0.15671159327030182,
0.3002188801765442,
0.22123515605926514,
-0.13670718669891357,
-0.013893986120820045,
-0.1888938844203949,
0.23657263815402985,
0.21810705959796906,
0.20831623673439026,
-0.14313721656799316,
-0.24706393480300903,
0.48490485548973083,
0.25417235493659973,
-0.13027384877204895,
0.4766072630882263,
-0.46295738220214844,
-0.3232699930667877,
0.23429550230503082,
0.08237776160240173,
0.7584076523780823,
-0.02576621063053608,
0.248221293091774,
0.2218555063009262,
-0.3872928023338318,
0.5620595216751099,
-0.2961163818836212,
0.1522105634212494,
-0.06021064519882202,
-0.15607032179832458,
-0.0034728043247014284,
-0.10052952170372009,
-0.06659572571516037,
0.19200089573860168,
-0.30052128434181213,
0.3170955181121826,
0.474131315946579,
-0.25450530648231506,
-0.02542509138584137,
0.5520510673522949,
0.07409597188234329,
-0.4448997378349304,
-0.06326024979352951,
0.05981139838695526,
-0.2775408625602722,
0.12795968353748322,
-0.12317372113466263,
-0.32199689745903015,
0.19604803621768951,
0.14368174970149994,
-0.33403679728507996,
0.0841856375336647,
0.002531936625018716,
0.21790429949760437,
0.302400678396225,
-0.018724597990512848,
0.24353741109371185,
-0.1553886979818344,
-0.06911890208721161,
-0.20241792500019073,
-0.08242638409137726,
0.123386912047863,
-0.15316882729530334,
0.11678946018218994,
0.09097012132406235,
-0.23128864169120789,
0.5451812148094177,
-0.09264515340328217,
-0.07114778459072113,
-0.2456400841474533,
0.22469641268253326,
-0.40141791105270386,
-0.20007511973381042,
0.2005418986082077,
0.1613871455192566,
0.1955033540725708,
-0.29072120785713196,
0.5905135273933411,
0.12673057615756989,
-0.0039932942017912865,
0.01494226511567831,
0.22409683465957642,
-0.23790395259857178,
0.49399104714393616,
-0.33471786975860596,
0.03277881443500519,
0.1014416292309761,
0.041583284735679626,
-0.10776904225349426,
-0.4338432550430298,
-0.0012162006460130215,
0.3342473804950714,
0.07581999897956848,
0.05143161490559578,
-0.08145029097795486,
0.07534009218215942,
-0.048213861882686615,
-0.09353337436914444,
-0.18528534471988678,
-0.34339889883995056,
0.0834069550037384,
0.2625077962875366,
0.1403319537639618,
0.22585947811603546,
-0.06235148757696152,
-0.30122631788253784,
-0.18288184702396393,
0.4282071888446808,
-0.09056097269058228,
0.17181028425693512,
-0.16093997657299042,
0.3156590163707733,
0.412031888961792,
0.4628569185733795,
-0.2444220930337906,
0.016907453536987305,
0.022540757432579994,
0.09322317689657211,
0.3734446167945862,
-0.23166696727275848,
0.07709408551454544,
0.24294039607048035,
-0.13898295164108276,
0.04263535514473915,
-0.34411001205444336,
-0.12457136809825897,
-0.26963138580322266,
0.11243976652622223,
0.1352788507938385,
-0.04004857316613197,
0.004310352727770805,
-0.13928335905075073,
-0.13679295778274536,
-0.06827126443386078,
-0.03434407711029053,
-0.4005204141139984,
-0.10314895212650299,
0.0878286063671112,
-0.04722683131694794,
0.06675835698843002,
0.061761487275362015,
0.16811570525169373,
0.052707038819789886,
-0.08132447302341461,
0.38305598497390747,
0.09156324714422226,
0.07138901948928833,
-0.1855536848306656,
-0.16798467934131622,
0.05471836403012276,
0.27848997712135315,
0.14243140816688538,
-0.04896443337202072,
0.06975319236516953,
-0.21316082775592804,
-0.1310151219367981,
0.21939092874526978,
0.22825856506824493,
0.05144934728741646,
-0.19707201421260834,
0.13877585530281067,
0.08696145564317703,
-0.0729917660355568,
-0.024210074916481972,
0.25871357321739197,
0.0611560232937336,
0.0581028051674366,
0.15578068792819977,
0.13392339646816254,
0.4340778887271881,
-0.18399545550346375,
0.04718602076172829,
0.16860873997211456,
-0.37249672412872314,
0.05300147831439972,
-0.19252823293209076,
-0.12392820417881012,
0.04346950724720955,
0.17797201871871948,
-0.020713338628411293,
0.11280062794685364,
-0.1853484958410263,
0.2707880139350891,
0.312272310256958,
0.009717307053506374,
0.047666389495134354,
0.13717597723007202,
-0.05930177494883537,
-0.18108217418193817,
0.20019438862800598,
0.05756025388836861,
0.34439516067504883,
0.01869833841919899,
0.8508671522140503,
-0.2761963903903961,
-0.38287946581840515,
0.17217527329921722,
0.4096406400203705,
0.03172922134399414,
-0.18231843411922455,
0.08489274233579636,
0.07741580158472061,
-0.34510067105293274,
0.01853763498365879,
0.03847216069698334,
-0.1703849881887436,
0.6866497993469238,
-0.13125547766685486,
0.11843198537826538,
-0.22235527634620667,
-0.2760974168777466,
0.3105558454990387,
0.1714400202035904,
-0.056525588035583496,
0.06068376824259758,
0.1309126913547516,
-0.09606020897626877,
-0.16307930648326874,
0.4281637966632843,
0.2053738236427307,
0.0710359737277031,
-0.4505878984928131,
-0.055379509925842285,
0.10228003561496735,
0.11845839768648148,
-0.08575453609228134,
0.15496787428855896,
0.4437693655490875,
-0.12202072888612747,
0.27056705951690674,
-0.023743296042084694,
-0.0232196357101202,
-0.13216695189476013,
0.1632668823003769,
-0.33133387565612793,
-0.37357965111732483,
0.45984208583831787,
0.08283783495426178,
-0.11625416576862335,
0.09675093740224838,
0.29102247953414917,
-0.6527740359306335,
-0.24476131796836853,
0.2560926377773285,
-0.06182890757918358,
-0.0006648338749073446,
-0.1802779585123062,
0.06906047463417053,
0.08660885691642761,
0.6433348655700684,
0.16453427076339722,
0.30600109696388245,
-0.40145447850227356,
-0.12584948539733887,
-0.6316565275192261,
-0.2174752801656723,
0.1793736070394516,
-0.13840211927890778,
-0.1703631579875946,
0.18058380484580994,
-0.007042988669127226,
0.24776317179203033,
-0.26092463731765747,
-0.006970847491174936,
0.3292713463306427,
0.04296679422259331,
-0.519255518913269,
0.039342790842056274,
0.1607200652360916,
0.11304409056901932,
0.2652929127216339,
-0.020683500915765762,
-0.20508576929569244,
0.10758076608181,
-0.06017373874783516,
-0.0842011347413063,
-0.1182250902056694,
0.2389034926891327,
0.20819246768951416,
0.0055058798752725124,
0.06280211359262466,
0.49198204278945923,
0.006552661303430796,
-0.17013630270957947,
-0.004910780116915703,
0.09330537170171738,
-0.33859243988990784,
-0.16125202178955078,
-0.10824790596961975,
0.22235308587551117,
-0.34201085567474365,
0.35956889390945435,
-0.017937349155545235,
-0.08411450684070587,
0.13189351558685303,
0.025732532143592834,
-0.263685017824173,
0.028533894568681717,
-0.008091885596513748,
0.2732331454753876,
0.20005369186401367,
0.7247748970985413,
0.039764754474163055,
0.17260189354419708,
-0.1615489274263382,
-0.041413113474845886,
0.10445640981197357,
-0.17149613797664642,
-0.28233709931373596,
-0.11068553477525711,
0.07003909349441528,
0.03175491839647293,
0.13340802490711212,
-0.7072269320487976,
-0.3839826285839081,
0.0066392431035637856,
-0.03267090395092964,
0.024425743147730827,
0.6573564410209656,
0.04589991644024849,
-0.10253032296895981,
-0.13903065025806427,
-0.3231089115142822,
0.0940261036157608,
-0.23133830726146698,
0.18395103514194489,
-0.35463395714759827
] |
https://github.com/huggingface/datasets/issues/217 | Multi-task dataset mixing | Hey! Happy to jump into the discussion here. I'm still getting familiar with bits of this code, but the reasons I sampled over data loaders rather than datasets is 1) ensuring that each sampled batch corresponds to only 1 task (in case of different inputs formats/downstream models) and 2) potentially having different batch sizes per task (e.g. some tasks have very long/short inputs). How are you currently dealing with these in your PR? | It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
| 73 | Multi-task dataset mixing
It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
Hey! Happy to jump into the discussion here. I'm still getting familiar with bits of this code, but the reasons I sampled over data loaders rather than datasets is 1) ensuring that each sampled batch corresponds to only 1 task (in case of different inputs formats/downstream models) and 2) potentially having different batch sizes per task (e.g. some tasks have very long/short inputs). How are you currently dealing with these in your PR? | [
-0.08960554003715515,
-0.3705180287361145,
-0.04412422329187393,
-0.06419779360294342,
-0.22869285941123962,
0.02895098552107811,
0.2676898241043091,
0.02336002327501774,
0.3950953483581543,
-0.10933452099561691,
-0.1705915778875351,
0.32033583521842957,
-0.20159779489040375,
0.37548577785491943,
0.39844727516174316,
-0.43781787157058716,
-0.002577137900516391,
-0.2555519938468933,
-0.3273431360721588,
0.3867936432361603,
0.0030516749247908592,
0.11846121400594711,
-0.14524959027767181,
0.05655597522854805,
-0.2847825884819031,
-0.12906894087791443,
-0.33200934529304504,
0.10755182802677155,
0.09705800563097,
-0.011513284407556057,
0.23895084857940674,
0.36387988924980164,
-0.0029587079770863056,
0.12613248825073242,
-0.0001156874859589152,
-0.041392985731363297,
0.22455823421478271,
-0.0885121077299118,
0.06489138305187225,
-0.04569966346025467,
0.17900067567825317,
-0.3761780560016632,
0.058788664638996124,
-0.14258639514446259,
0.20260384678840637,
0.17821432650089264,
0.17752526700496674,
0.04718824103474617,
0.3459136486053467,
-0.3254343569278717,
0.08241233974695206,
0.32058170437812805,
-0.2082773745059967,
0.2640053331851959,
-0.11156558990478516,
-0.050212666392326355,
0.07479429244995117,
0.31859785318374634,
0.6831013560295105,
-0.5693539977073669,
-0.07522579282522202,
0.10948431491851807,
0.01886441931128502,
-0.0638963133096695,
0.153956800699234,
-0.08444599062204361,
-0.30900251865386963,
-0.24644383788108826,
-0.436266154050827,
0.21254250407218933,
-0.11863076686859131,
-0.12883256375789642,
-0.2360723614692688,
-0.6045428514480591,
-0.02912726067006588,
0.07235995680093765,
-0.27344658970832825,
-0.00966254435479641,
-0.21529775857925415,
-0.04984115809202194,
-0.1738603115081787,
-0.10561870783567429,
-0.03110460378229618,
0.14210423827171326,
0.3534385859966278,
0.5484309196472168,
0.07717595249414444,
0.21021868288516998,
0.41617855429649353,
0.08392105251550674,
-0.11613097041845322,
-0.27954214811325073,
0.31732675433158875,
0.12179842591285706,
-0.36284583806991577,
-0.34425225853919983,
0.17837680876255035,
-0.2727919816970825,
0.26535090804100037,
0.1431955099105835,
0.13283878564834595,
0.05661166459321976,
-0.12779097259044647,
0.24213290214538574,
0.3584893047809601,
0.08159506320953369,
-0.09061973541975021,
-0.1105470359325409,
0.011070125736296177,
-0.1044858917593956,
0.22195376455783844,
0.10372376441955566,
0.14533616602420807,
-0.015399143099784851,
-0.4716433584690094,
-0.08467740565538406,
-0.2308618277311325,
0.11420781910419464,
-0.18811678886413574,
-0.5452080368995667,
-0.07727597653865814,
-0.14436045289039612,
0.11034179478883743,
-0.089957095682621,
-0.2681083381175995,
0.11734511703252792,
-0.0560462549328804,
0.25359100103378296,
-0.138411283493042,
0.04875034838914871,
-0.0495743565261364,
0.061328575015068054,
-0.45849037170410156,
-0.09332142025232315,
0.28703662753105164,
0.17207972705364227,
0.12903070449829102,
0.12023808062076569,
-0.019158367067575455,
0.1441025584936142,
0.33735761046409607,
0.028596311807632446,
0.01305076852440834,
0.010992662981152534,
0.18654268980026245,
-0.30493998527526855,
0.011405106633901596,
0.23146313428878784,
-0.3490491211414337,
-0.10899244248867035,
-0.20152604579925537,
-0.19108104705810547,
0.1673603653907776,
0.013931088149547577,
-0.21046417951583862,
-0.26141494512557983,
-0.559792160987854,
0.6944108605384827,
-0.03270532563328743,
-0.10934837907552719,
-0.14054279029369354,
0.2590895891189575,
-0.16008660197257996,
-0.08462852984666824,
0.1551489531993866,
0.048238445073366165,
-0.04864814132452011,
-0.36557167768478394,
-0.07868371158838272,
-0.12028457224369049,
0.05071501433849335,
0.26793599128723145,
-0.22832469642162323,
0.27010542154312134,
0.018788857385516167,
0.1974085569381714,
0.24765551090240479,
-0.47684645652770996,
-0.03297731280326843,
0.3645942211151123,
-0.044346049427986145,
0.40321362018585205,
0.10897758603096008,
0.20473597943782806,
0.042717546224594116,
-0.20092621445655823,
0.2404809594154358,
1.0242562294006348,
-0.3771042823791504,
0.008822514675557613,
-0.12261920422315598,
-0.3946356773376465,
0.5419135093688965,
0.3336593508720398,
0.08739208430051804,
-0.26467546820640564,
-0.11319258064031601,
0.020931541919708252,
0.14002974331378937,
0.06807202845811844,
0.09149987995624542,
-0.06338773667812347,
-0.3728692829608917,
0.04508441314101219,
-0.21324512362480164,
-0.09416227787733078,
-0.36404508352279663,
0.02004147320985794,
-0.07089370489120483,
0.33006349205970764,
0.27682793140411377,
-0.10196209698915482,
0.29011106491088867,
-0.25997957587242126,
-0.135525181889534,
-0.29892584681510925,
0.08099512755870819,
-0.09198074042797089,
0.019625229761004448,
-0.3017866015434265,
-0.04352991282939911,
0.3114900290966034,
0.09314750134944916,
-0.11146474629640579,
-0.5201103091239929,
0.29312941431999207,
-0.035998258739709854,
0.061564382165670395,
-0.0562952384352684,
0.5926681160926819,
-0.16117364168167114,
-0.12305664271116257,
0.15402843058109283,
0.30346056818962097,
-0.26907238364219666,
0.2271573394536972,
0.2872881591320038,
0.1880013644695282,
0.1648530811071396,
-0.016522115096449852,
0.13337133824825287,
0.005181524436920881,
-0.01253964751958847,
-0.22247450053691864,
-0.07112506031990051,
0.49432915449142456,
-0.17993122339248657,
0.4873959720134735,
-0.044664788991212845,
0.015740156173706055,
-0.1863202452659607,
-0.047534745186567307,
-0.23269301652908325,
0.4075045883655548,
0.31928837299346924,
-0.1794973760843277,
0.3725852072238922,
-0.0862383246421814,
-0.35132768750190735,
0.17856565117835999,
0.09627626091241837,
0.00019789105863310397,
0.021255312487483025,
-0.012914730235934258,
-0.009134471416473389,
-0.333839476108551,
-0.1100996658205986,
0.33554261922836304,
0.6644570827484131,
0.24936838448047638,
0.17727471888065338,
-0.028650732710957527,
-0.19699716567993164,
-0.09434293955564499,
0.03606782481074333,
0.21235482394695282,
-0.02482195571064949,
0.15700162947177887,
-0.010826516896486282,
0.03673882409930229,
-0.0019101343350484967,
-0.145143523812294,
0.1448415368795395,
-0.2040402889251709,
-0.08474630862474442,
0.08304176479578018,
-0.20195823907852173,
-0.6090885996818542,
-0.2475719153881073,
-0.017396826297044754,
-0.3290187418460846,
-0.2885233461856842,
0.10992716997861862,
0.08244853466749191,
-0.15863166749477386,
0.14156195521354675,
0.22592225670814514,
0.6497551202774048,
-0.4458456039428711,
-0.23835527896881104,
-0.09807469695806503,
-0.27364420890808105,
-0.1178838312625885,
0.08979293704032898,
0.4389151930809021,
0.2987910807132721,
0.4678761661052704,
0.3357656002044678,
-0.07294555753469467,
0.0949573740363121,
-0.3517071306705475,
0.03553038462996483,
-0.2930789291858673,
0.3098820447921753,
0.13900770246982574,
-0.18240390717983246,
0.19600342214107513,
-0.3770199716091156,
-0.0679650604724884,
-0.04905390739440918,
-0.09277144074440002,
-0.06871548295021057,
-0.026184791699051857,
0.07875335216522217,
-0.19790895283222198,
-0.14304053783416748,
-0.6475344300270081,
-0.42761489748954773,
0.26241016387939453,
-0.2563125491142273,
0.05381110683083534,
0.05618848279118538,
-0.27896520495414734,
0.16724130511283875,
-0.11408708244562149,
-0.0301990769803524,
-0.1667529046535492,
-0.1156589612364769,
-0.022316204383969307,
-0.3414052426815033,
-0.16686128079891205,
-0.43680301308631897,
-0.0881427675485611,
0.20312537252902985,
-0.019464073702692986,
-0.019430462270975113,
-0.18683062493801117,
0.15789037942886353,
-0.1286054104566574,
0.13385477662086487,
0.22555020451545715,
0.14002415537834167,
-0.2490689754486084,
0.14498241245746613,
-0.06924628466367722,
-0.2159973382949829,
0.22665143013000488,
0.31023114919662476,
0.46727079153060913,
0.20428210496902466,
0.021375007927417755,
0.1477929800748825,
0.7359364032745361,
0.22510188817977905,
0.06165260821580887,
0.15805049240589142,
0.29719817638397217,
-0.011522085405886173,
0.10848750919103622,
-0.20904165506362915,
0.2638302147388458,
-0.19775930047035217,
0.48094651103019714,
0.0856480523943901,
0.14452938735485077,
-0.18779617547988892,
-0.2808535099029541,
0.00895918533205986,
-0.2754822075366974,
-0.22052402794361115,
0.2475835382938385,
-0.2749198377132416,
0.008521145209670067,
-0.07700461894273758,
-0.36289507150650024,
-0.28628379106521606,
-0.03926142677664757,
-0.007200351916253567,
0.3148202896118164,
0.030279072001576424,
0.16325677931308746,
-0.39912745356559753,
-0.06987354159355164,
-0.4792778193950653,
0.12462103366851807,
0.05004160851240158,
0.272379070520401,
-0.07456710189580917,
-0.10680718719959259,
-0.08096519112586975,
0.13911333680152893,
0.6718359589576721,
-0.46807432174682617,
-0.1201029121875763,
0.0467565692961216,
0.08207797259092331,
-0.059771839529275894,
-0.12703630328178406,
-0.23704156279563904,
0.020004751160740852,
0.4522341787815094,
0.3554958701133728,
-0.41076284646987915,
-0.2772548496723175,
0.2263064831495285,
-0.16873954236507416,
-0.08126653730869293,
-0.22157074511051178,
-0.21372391283512115,
-0.17879308760166168,
-0.1205180212855339,
0.022923383861780167,
0.19870980083942413,
0.2567113935947418,
-0.1758774220943451,
0.1802804172039032,
-0.0964084267616272,
0.27499037981033325,
0.18857261538505554,
-0.00485547911375761,
-0.06122709438204765,
0.19523654878139496,
0.15556934475898743,
0.07697004079818726,
-0.11399330198764801,
-0.2888614237308502,
0.11771688610315323,
-0.09440398216247559,
0.09064515680074692,
0.27966880798339844,
-0.027801048010587692,
0.6893088221549988,
0.08675303310155869,
0.3350837230682373,
0.2698398232460022,
-0.0843542218208313,
-0.01583169214427471,
-0.25507739186286926,
0.17849336564540863,
0.1570008099079132,
0.2542004883289337,
-0.15993094444274902,
-0.2616676688194275,
0.5813788175582886,
0.3021725118160248,
-0.07488233596086502,
0.4123932719230652,
-0.5658520460128784,
-0.3181343674659729,
0.3210618197917938,
0.008234641514718533,
0.6767167448997498,
-0.011694325134158134,
0.29665639996528625,
0.09642128646373749,
-0.2917300760746002,
0.5918285846710205,
-0.3068067729473114,
0.13567307591438293,
-0.08629437536001205,
-0.15701019763946533,
-0.0007171488250605762,
-0.10220611095428467,
-0.06825969368219376,
0.28566810488700867,
-0.2693983018398285,
0.3406902849674225,
0.4515395164489746,
-0.2593255341053009,
-0.062462568283081055,
0.497019499540329,
0.040260449051856995,
-0.39022523164749146,
-0.05338864028453827,
0.03806700184941292,
-0.26367396116256714,
0.15802551805973053,
-0.13398049771785736,
-0.27603402733802795,
0.2424035519361496,
0.09275715798139572,
-0.2599029242992401,
0.1079489067196846,
0.002680172910913825,
0.2147812843322754,
0.3164939880371094,
0.024473637342453003,
0.2476588785648346,
-0.18959233164787292,
-0.15023615956306458,
-0.17084495723247528,
-0.06086140498518944,
0.13157792389392853,
-0.14995668828487396,
0.07499933987855911,
0.10225125402212143,
-0.187038391828537,
0.533451497554779,
-0.06037310138344765,
-0.08038851618766785,
-0.2575174570083618,
0.22078347206115723,
-0.4532489478588104,
-0.15675626695156097,
0.15572895109653473,
0.17293323576450348,
0.17084285616874695,
-0.3983147442340851,
0.5807891488075256,
0.13632529973983765,
0.016067009419202805,
-0.0007994562620297074,
0.16640523076057434,
-0.22039026021957397,
0.5007690191268921,
-0.31078168749809265,
0.009038742631673813,
0.07070190459489822,
0.006287605036050081,
-0.1292516589164734,
-0.41763001680374146,
-0.048088934272527695,
0.29771339893341064,
0.09809495508670807,
0.05041976273059845,
-0.009112373925745487,
0.18022215366363525,
-0.11553841084241867,
-0.030411649495363235,
-0.11281533539295197,
-0.2936977744102478,
0.13766342401504517,
0.1897747814655304,
0.20098917186260223,
0.19345170259475708,
-0.08014584332704544,
-0.32933899760246277,
-0.1923336535692215,
0.49070796370506287,
-0.035176124423742294,
0.20113801956176758,
-0.08926854282617569,
0.3534668982028961,
0.39224234223365784,
0.45730653405189514,
-0.2312459945678711,
0.034199442714452744,
0.07259298861026764,
0.09041871130466461,
0.42385438084602356,
-0.21112456917762756,
0.0549248605966568,
0.29967057704925537,
-0.15968696773052216,
0.0328933410346508,
-0.29686465859413147,
-0.12285884469747543,
-0.24775628745555878,
0.11770711094141006,
0.12449155002832413,
-0.01967359147965908,
0.0004342575848568231,
-0.1036360114812851,
-0.05941019207239151,
-0.05669474974274635,
0.016157839447259903,
-0.3881988823413849,
-0.07074052840471268,
0.08002275228500366,
-0.056611210107803345,
0.05917535349726677,
0.0188970435410738,
0.305361270904541,
0.03774058073759079,
-0.04798999801278114,
0.31572604179382324,
0.1257237046957016,
0.08717852085828781,
-0.15319710969924927,
-0.1950378268957138,
0.0172455832362175,
0.3017753064632416,
0.1727597862482071,
-0.03927168250083923,
0.16133391857147217,
-0.16719701886177063,
-0.1590324342250824,
0.22609062492847443,
0.2231975495815277,
0.04009833559393883,
-0.1603202074766159,
0.11157412081956863,
0.0839044377207756,
-0.0976882129907608,
0.012813540175557137,
0.15069225430488586,
0.1132158488035202,
0.061027832329273224,
0.14053089916706085,
0.17595915496349335,
0.45910993218421936,
-0.2538210451602936,
-0.002814853098243475,
0.14726053178310394,
-0.24171803891658783,
0.0918261781334877,
-0.07453323900699615,
-0.042423348873853683,
0.022125162184238434,
0.1766907125711441,
0.01691071316599846,
0.12707701325416565,
-0.3183572590351105,
0.2580794095993042,
0.3101721704006195,
0.005789766553789377,
0.014649984426796436,
0.09429752081632614,
-0.06749323755502701,
-0.18665927648544312,
0.3170959949493408,
0.009613605216145515,
0.3464256227016449,
0.04529754817485809,
0.875375509262085,
-0.3337633013725281,
-0.42751333117485046,
0.15399423241615295,
0.44893980026245117,
0.056862931698560715,
-0.2221122533082962,
0.037358108907938004,
0.1282808780670166,
-0.368176132440567,
0.11881019175052643,
0.016469178721308708,
-0.14899775385856628,
0.6261694431304932,
-0.11506877839565277,
0.1415538340806961,
-0.19208961725234985,
-0.2517244517803192,
0.30882471799850464,
0.1510937213897705,
-0.10871902108192444,
0.003980865702033043,
0.08623854070901871,
-0.031954143196344376,
-0.0897655263543129,
0.4948278069496155,
0.24426411092281342,
0.044602423906326294,
-0.42176398634910583,
-0.05275627225637436,
0.06980502605438232,
0.15835484862327576,
-0.09271010011434555,
0.1416839212179184,
0.45747193694114685,
-0.1465972512960434,
0.25981706380844116,
-0.012058008462190628,
-0.028776448220014572,
-0.10949544608592987,
0.10569210350513458,
-0.4016034007072449,
-0.3663012683391571,
0.4545689523220062,
0.09633476287126541,
-0.10901253670454025,
0.050898145884275436,
0.29747840762138367,
-0.6373807787895203,
-0.23753005266189575,
0.30419328808784485,
-0.12987738847732544,
-0.07157387584447861,
-0.18063631653785706,
0.06053175404667854,
0.057966407388448715,
0.6411344408988953,
0.244784414768219,
0.3587520122528076,
-0.41919243335723877,
-0.12837129831314087,
-0.5469253063201904,
-0.2503894865512848,
0.1415645331144333,
-0.0787108987569809,
-0.263457328081131,
0.13791395723819733,
-0.04050194472074509,
0.25394538044929504,
-0.2701583802700043,
0.10107421875,
0.23565591871738434,
0.09575521945953369,
-0.43658778071403503,
0.0883835032582283,
0.13122303783893585,
0.10667705535888672,
0.2530834674835205,
-0.095354363322258,
-0.1709674447774887,
0.10993629693984985,
-0.12099000066518784,
-0.08666301518678665,
-0.08444850146770477,
0.31150922179222107,
0.22627875208854675,
0.048147547990083694,
0.051024097949266434,
0.5658936500549316,
0.008747790940105915,
-0.1783836930990219,
0.01966794766485691,
0.009437673725187778,
-0.3435695767402649,
-0.16456227004528046,
-0.08115562051534653,
0.154269739985466,
-0.31995949149131775,
0.3417586386203766,
-0.019736025482416153,
-0.11823615431785583,
0.10428190976381302,
0.002966197207570076,
-0.2295610010623932,
-0.05096915736794472,
0.005003814119845629,
0.1825326532125473,
0.2513962984085083,
0.7283110022544861,
0.028254294767975807,
0.09514983743429184,
-0.07251212745904922,
0.0025239847600460052,
0.031027233228087425,
-0.10433628410100937,
-0.2157592922449112,
-0.17576730251312256,
0.044877782464027405,
0.013304026797413826,
0.12388887256383896,
-0.7102765440940857,
-0.36426395177841187,
0.019617583602666855,
0.013225079514086246,
0.08402092009782791,
0.7129796743392944,
0.074734166264534,
-0.14252959191799164,
-0.1384015828371048,
-0.3290708065032959,
0.05110197141766548,
-0.23991213738918304,
0.19118696451187134,
-0.33836326003074646
] |
https://github.com/huggingface/datasets/issues/217 | Multi-task dataset mixing | The short answer is - I'm not! Everything is currently on a per-example basis. It would be fairly simple to add a `batch_size` argument which would ensure that every `batch_size` examples come from the same task. That should suit most use-cases (unless you wanted to ensure batches all came from the same task and apply something like `SortishSampler` on each task first)
Your notebook was really inspiring by the way - thanks! | It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
| 72 | Multi-task dataset mixing
It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
The short answer is - I'm not! Everything is currently on a per-example basis. It would be fairly simple to add a `batch_size` argument which would ensure that every `batch_size` examples come from the same task. That should suit most use-cases (unless you wanted to ensure batches all came from the same task and apply something like `SortishSampler` on each task first)
Your notebook was really inspiring by the way - thanks! | [
-0.0956544578075409,
-0.43038398027420044,
-0.04629383236169815,
-0.06745117157697678,
-0.2578943371772766,
0.009947361424565315,
0.20224931836128235,
0.07624121755361557,
0.2903968095779419,
-0.11092482507228851,
-0.18591274321079254,
0.2946228086948395,
-0.23009297251701355,
0.3789537250995636,
0.4100240468978882,
-0.45200031995773315,
0.024441173300147057,
-0.177206352353096,
-0.29455024003982544,
0.36274445056915283,
0.015423019416630268,
0.14288891851902008,
-0.1547030806541443,
0.08106373995542526,
-0.31288331747055054,
-0.16926202178001404,
-0.34849435091018677,
0.10086295753717422,
0.1370152235031128,
-0.024620696902275085,
0.2090301811695099,
0.37785276770591736,
0.0340089425444603,
0.10139340162277222,
-0.00011142913717776537,
-0.09728694707155228,
0.20507904887199402,
-0.09062527865171432,
0.10297595709562302,
-0.05900351703166962,
0.16401681303977966,
-0.36792224645614624,
-0.002734801033511758,
-0.12695015966892242,
0.15940764546394348,
0.22511327266693115,
0.2023814469575882,
0.08568355441093445,
0.3988804221153259,
-0.3097243905067444,
0.11813075840473175,
0.328694224357605,
-0.18170171976089478,
0.23797333240509033,
-0.08357034623622894,
-0.06251093000173569,
0.06098923832178116,
0.23452819883823395,
0.6071343421936035,
-0.58875572681427,
-0.06404931843280792,
0.14051827788352966,
0.03854520991444588,
0.021421179175376892,
0.14441172778606415,
-0.038736216723918915,
-0.29622340202331543,
-0.232766255736351,
-0.43623578548431396,
0.2806535065174103,
-0.1612735390663147,
-0.13062630593776703,
-0.2634523808956146,
-0.5633004307746887,
-0.0008519762777723372,
0.0014623303432017565,
-0.33009815216064453,
0.044788017868995667,
-0.21435800194740295,
-0.03346629813313484,
-0.1524394154548645,
-0.06026735529303551,
-0.04060104489326477,
0.11201122403144836,
0.3631242513656616,
0.5616530179977417,
0.08171816915273666,
0.13045640289783478,
0.3781227767467499,
0.05841761454939842,
-0.19902941584587097,
-0.2562060058116913,
0.2837378978729248,
0.11374102532863617,
-0.34667477011680603,
-0.3419145941734314,
0.17506270110607147,
-0.19308975338935852,
0.3228084444999695,
0.10108928382396698,
0.0934973806142807,
0.09113769978284836,
-0.10029987245798111,
0.2920592427253723,
0.3476570248603821,
0.1223694384098053,
-0.056605610996484756,
-0.12424670159816742,
0.03975919634103775,
-0.06336721777915955,
0.2047533541917801,
0.15042757987976074,
0.1986275166273117,
-0.0070348153822124004,
-0.4239506423473358,
-0.113590307533741,
-0.18267902731895447,
0.1420101821422577,
-0.21430006623268127,
-0.5234178304672241,
-0.029956500977277756,
-0.1304442137479782,
0.08226392418146133,
-0.056739676743745804,
-0.2853318154811859,
0.0973653644323349,
-0.08805660158395767,
0.19672279059886932,
-0.12846866250038147,
0.07483378052711487,
-0.08253401517868042,
0.07176294922828674,
-0.4690389037132263,
-0.04859967529773712,
0.30152627825737,
0.1074480339884758,
0.13133564591407776,
0.13816595077514648,
-0.0377437062561512,
0.1328812688589096,
0.33942869305610657,
0.03031286410987377,
-0.0003307335136923939,
-0.03616715595126152,
0.15753719210624695,
-0.3345581591129303,
-0.04376925528049469,
0.1560826301574707,
-0.4061700105667114,
-0.15703776478767395,
-0.12641926109790802,
-0.21524955332279205,
0.13307444751262665,
0.05488738417625427,
-0.23455174267292023,
-0.25436821579933167,
-0.4572620689868927,
0.7054932713508606,
-0.04623964801430702,
-0.03340712934732437,
-0.1386662870645523,
0.28011998534202576,
-0.23864740133285522,
-0.07164394855499268,
0.15914246439933777,
0.09545451402664185,
0.0009728616569191217,
-0.37805625796318054,
-0.03246217966079712,
-0.10533303022384644,
-0.06803721189498901,
0.31936436891555786,
-0.17716726660728455,
0.1892450600862503,
0.05113629996776581,
0.20222069323062897,
0.24152277410030365,
-0.49662357568740845,
-0.03344209864735603,
0.30526044964790344,
-0.03650669381022453,
0.35196879506111145,
0.07787486910820007,
0.1823495477437973,
0.09818778187036514,
-0.1924564093351364,
0.2653273344039917,
1.0035321712493896,
-0.38286951184272766,
0.022055543959140778,
-0.12745937705039978,
-0.40109676122665405,
0.48556333780288696,
0.3276016414165497,
0.023420549929142,
-0.31363874673843384,
-0.1300777792930603,
-0.02560476027429104,
0.09931154549121857,
0.06988128274679184,
0.07652884721755981,
-0.06977523118257523,
-0.31873393058776855,
0.013977481052279472,
-0.15631647408008575,
-0.1352730542421341,
-0.4236290454864502,
0.03415070101618767,
-0.06946251541376114,
0.33294907212257385,
0.32506129145622253,
-0.13765071332454681,
0.21762682497501373,
-0.26340484619140625,
-0.10048290342092514,
-0.31292086839675903,
0.1418483406305313,
-0.10447479784488678,
0.0539260171353817,
-0.27995923161506653,
-0.07492944598197937,
0.3310256004333496,
0.0866703987121582,
-0.12241551280021667,
-0.46758076548576355,
0.2426157146692276,
-0.10650381445884705,
0.017546098679304123,
0.00730044674128294,
0.6171316504478455,
-0.14959515631198883,
-0.07000638544559479,
0.20503389835357666,
0.28201720118522644,
-0.28210893273353577,
0.2547476291656494,
0.2886512875556946,
0.22653183341026306,
0.1838991641998291,
0.012912996113300323,
0.1047697439789772,
-0.018239282071590424,
-0.03309926018118858,
-0.18438954651355743,
-0.12761665880680084,
0.5337746143341064,
-0.11340359598398209,
0.42374780774116516,
0.01028094906359911,
-0.0016261906130239367,
-0.1857481747865677,
-0.08734411746263504,
-0.2569580674171448,
0.35327139496803284,
0.3242209851741791,
-0.21554195880889893,
0.3575747311115265,
-0.0927836075425148,
-0.3873851001262665,
0.1576685756444931,
0.18133841454982758,
0.02245202660560608,
0.08836869895458221,
0.022484786808490753,
-0.043993622064590454,
-0.2892822325229645,
-0.08268630504608154,
0.3609899878501892,
0.600655198097229,
0.30525386333465576,
0.17336374521255493,
0.027060076594352722,
-0.30429205298423767,
-0.11205693334341049,
0.015227646566927433,
0.18314243853092194,
-0.030197398737072945,
0.15285487473011017,
0.041586801409721375,
0.05599971115589142,
-0.048957277089357376,
-0.16611476242542267,
0.09252717345952988,
-0.17580796778202057,
-0.08189008384943008,
0.03957559913396835,
-0.16714344918727875,
-0.5780373215675354,
-0.2460925430059433,
0.04412265866994858,
-0.32625389099121094,
-0.2550867199897766,
0.15884177386760712,
0.029433995485305786,
-0.16992613673210144,
0.17299647629261017,
0.2292766273021698,
0.6286781430244446,
-0.43886151909828186,
-0.18500018119812012,
-0.10761889815330505,
-0.3222369849681854,
-0.15262532234191895,
0.12096085399389267,
0.41602078080177307,
0.2905067801475525,
0.4932437837123871,
0.2830926179885864,
-0.026001110672950745,
0.10474313050508499,
-0.37736472487449646,
0.054451633244752884,
-0.27542707324028015,
0.28514426946640015,
0.11039283871650696,
-0.22095873951911926,
0.15785686671733856,
-0.39220502972602844,
-0.05006104335188866,
-0.12310875952243805,
-0.09991275519132614,
-0.0815800353884697,
-0.026580799371004105,
0.04209123179316521,
-0.1918628215789795,
-0.1675719916820526,
-0.6334232687950134,
-0.4681072533130646,
0.34189045429229736,
-0.21221688389778137,
0.10471164435148239,
0.057700417935848236,
-0.26068320870399475,
0.16616985201835632,
-0.15556222200393677,
0.027958815917372704,
-0.16115091741085052,
-0.08060179650783539,
0.027159949764609337,
-0.3650360703468323,
-0.16097712516784668,
-0.4260775148868561,
-0.13156619668006897,
0.21172581613063812,
-0.08573532104492188,
-0.018161123618483543,
-0.25038737058639526,
0.07165082544088364,
-0.1331431120634079,
0.11693111807107925,
0.2675018608570099,
0.19170334935188293,
-0.2375509887933731,
0.09199431538581848,
-0.030880149453878403,
-0.23764334619045258,
0.2405966818332672,
0.33344313502311707,
0.39254119992256165,
0.14052002131938934,
0.030540434643626213,
0.19585371017456055,
0.7353604435920715,
0.25642937421798706,
0.023826198652386665,
0.18662676215171814,
0.2621121108531952,
0.024636724963784218,
0.1601390391588211,
-0.1698179692029953,
0.25950542092323303,
-0.17571234703063965,
0.44925352931022644,
0.12856188416481018,
0.18453159928321838,
-0.2333080768585205,
-0.24578683078289032,
-0.01603509858250618,
-0.2677399814128876,
-0.20620539784431458,
0.24365288019180298,
-0.2004666030406952,
-0.005440595094114542,
-0.09856291115283966,
-0.38829508423805237,
-0.25989192724227905,
-0.032904382795095444,
0.017790714278817177,
0.28790998458862305,
0.002849042182788253,
0.16430731117725372,
-0.31946712732315063,
-0.055637311190366745,
-0.48451465368270874,
0.14956332743167877,
0.07221481204032898,
0.2689269483089447,
-0.06599996238946915,
-0.1026056706905365,
-0.11336396634578705,
0.08600826561450958,
0.6084613800048828,
-0.4609886109828949,
-0.12899239361286163,
0.029674870893359184,
0.09475585073232651,
-0.12481461465358734,
-0.1021866649389267,
-0.26836177706718445,
-0.06343196332454681,
0.46247297525405884,
0.3793349266052246,
-0.3683629035949707,
-0.30867573618888855,
0.25277993083000183,
-0.2167631834745407,
-0.05535212159156799,
-0.23541618883609772,
-0.21979860961437225,
-0.18149450421333313,
-0.15289396047592163,
0.09308241307735443,
0.22387337684631348,
0.17905868589878082,
-0.10410675406455994,
0.12050031125545502,
-0.07052155584096909,
0.20699188113212585,
0.2310265600681305,
0.03241977468132973,
-0.024891743436455727,
0.20212391018867493,
0.1299929916858673,
0.07291918247938156,
-0.128123477101326,
-0.3435958921909332,
0.05205639824271202,
-0.07871635258197784,
0.16748005151748657,
0.2720288336277008,
0.03894692286849022,
0.6369621157646179,
0.09319660067558289,
0.34834811091423035,
0.24644911289215088,
-0.10003046691417694,
0.028285283595323563,
-0.2644094228744507,
0.1170211136341095,
0.1925375908613205,
0.24081139266490936,
-0.1332414746284485,
-0.18242290616035461,
0.6144337058067322,
0.3210254907608032,
-0.07534204423427582,
0.39156925678253174,
-0.48021143674850464,
-0.2988831400871277,
0.30478909611701965,
0.0476769395172596,
0.6780330538749695,
-0.008658384904265404,
0.2885782718658447,
0.10952404141426086,
-0.35490506887435913,
0.5664435625076294,
-0.34624338150024414,
0.15785473585128784,
-0.10396938771009445,
-0.19105449318885803,
0.0071837687864899635,
-0.08794985711574554,
-0.048731107264757156,
0.26887255907058716,
-0.34670794010162354,
0.34354403614997864,
0.456682413816452,
-0.2356584668159485,
-0.08080495148897171,
0.5609846711158752,
-0.04154358431696892,
-0.40955615043640137,
-0.08284275233745575,
0.0758705735206604,
-0.28342726826667786,
0.1413334608078003,
-0.17460066080093384,
-0.2745567262172699,
0.25787752866744995,
0.10646621137857437,
-0.27389323711395264,
0.0917183980345726,
-0.05002882331609726,
0.1728329062461853,
0.27562350034713745,
0.03175861015915871,
0.19174398481845856,
-0.2028181552886963,
-0.06302611529827118,
-0.19644136726856232,
-0.07966659218072891,
0.15450090169906616,
-0.14524787664413452,
0.10553400963544846,
0.087846539914608,
-0.20984157919883728,
0.5108206272125244,
-0.05306711792945862,
-0.10169688612222672,
-0.26747050881385803,
0.2604365944862366,
-0.4042939245700836,
-0.17751352488994598,
0.10693441331386566,
0.13696110248565674,
0.2079698145389557,
-0.2924814224243164,
0.5627287030220032,
0.09027507156133652,
-0.0058631207793951035,
0.055334482342004776,
0.15226776897907257,
-0.2723241150379181,
0.5453818440437317,
-0.2550187110900879,
0.011216804385185242,
0.05190224200487137,
0.011895696632564068,
-0.1488829255104065,
-0.36376771330833435,
-0.08748186379671097,
0.27418428659439087,
0.09738295525312424,
-0.00017570797353982925,
-0.013708430342376232,
0.14800380170345306,
-0.1133343055844307,
-0.020417794585227966,
-0.12666310369968414,
-0.35359564423561096,
0.17925116419792175,
0.2160952091217041,
0.25573790073394775,
0.21601082384586334,
-0.07465722411870956,
-0.24117881059646606,
-0.19481340050697327,
0.4819282293319702,
0.027668677270412445,
0.2639501988887787,
-0.13278523087501526,
0.35004258155822754,
0.4172840416431427,
0.542597234249115,
-0.2901419997215271,
0.0194889884442091,
0.04544743895530701,
0.11256490647792816,
0.4598180949687958,
-0.24196583032608032,
0.07676412165164948,
0.28588053584098816,
-0.13011077046394348,
0.0701565220952034,
-0.36212125420570374,
-0.17070747911930084,
-0.26530247926712036,
0.10153089463710785,
0.10833431780338287,
0.04718958958983421,
0.0031762130092829466,
-0.019687095656991005,
-0.07955950498580933,
-0.0957367867231369,
0.01848340965807438,
-0.3760216236114502,
-0.0982823371887207,
0.15372022986412048,
-0.06953983753919601,
0.042393699288368225,
0.12043562531471252,
0.20509065687656403,
0.046698667109012604,
-0.06932839751243591,
0.32367485761642456,
0.1258392035961151,
0.07482589781284332,
-0.15220259130001068,
-0.16026081144809723,
0.007074892520904541,
0.22868448495864868,
0.1364775002002716,
-0.06157491356134415,
0.1617528200149536,
-0.27166223526000977,
-0.13609030842781067,
0.24081115424633026,
0.14597104489803314,
0.07060426473617554,
-0.15793418884277344,
0.1163192018866539,
0.14452947676181793,
-0.11241628974676132,
0.0010164926061406732,
0.2037462443113327,
0.056546203792095184,
0.1279762089252472,
0.15175670385360718,
0.16456347703933716,
0.45382311940193176,
-0.21429572999477386,
0.036483678966760635,
0.14220228791236877,
-0.3709934949874878,
0.11530382931232452,
-0.13379819691181183,
-0.025103149935603142,
0.024294903501868248,
0.1567714512348175,
-0.00945306196808815,
0.21674704551696777,
-0.34670162200927734,
0.28668415546417236,
0.3190627992153168,
-0.03136817365884781,
0.05513693019747734,
0.19727487862110138,
-0.0020196037366986275,
-0.16688472032546997,
0.27943548560142517,
0.07130037993192673,
0.3188149929046631,
0.055346015840768814,
0.8951666951179504,
-0.24943041801452637,
-0.4379865825176239,
0.08847995847463608,
0.3954363167285919,
0.024620000272989273,
-0.22906756401062012,
0.10322873294353485,
0.08457647264003754,
-0.33028456568717957,
0.09990270435810089,
0.041744738817214966,
-0.12678350508213043,
0.6448745727539062,
-0.08233334869146347,
0.14766809344291687,
-0.15032020211219788,
-0.23305849730968475,
0.32927995920181274,
0.1781778186559677,
-0.11302302777767181,
0.013508823700249195,
0.09902048110961914,
-0.10855212062597275,
-0.1989584118127823,
0.5276769995689392,
0.2439906746149063,
0.05592787265777588,
-0.4059012234210968,
0.007024501450359821,
0.11586368829011917,
0.14389555156230927,
-0.09145320951938629,
0.10737698525190353,
0.4503694474697113,
-0.14932692050933838,
0.21223920583724976,
0.03401578962802887,
-0.06872895359992981,
-0.09852878004312515,
0.03311347961425781,
-0.45605725049972534,
-0.3647691309452057,
0.45689040422439575,
0.10242580622434616,
-0.08989333361387253,
0.04291737452149391,
0.3086782991886139,
-0.6284584403038025,
-0.18854011595249176,
0.2987588346004486,
-0.13009707629680634,
-0.07465958595275879,
-0.2261146456003189,
0.0887196958065033,
0.07111946493387222,
0.585948646068573,
0.21885712444782257,
0.35041648149490356,
-0.40086090564727783,
-0.09598887711763382,
-0.6091049909591675,
-0.20071937143802643,
0.11933484673500061,
-0.08799099177122116,
-0.21377229690551758,
0.1967516392469406,
-0.10631401091814041,
0.2746656835079193,
-0.1899932622909546,
0.11173830181360245,
0.18231849372386932,
0.01936580054461956,
-0.4103379249572754,
0.1525803804397583,
0.09875068813562393,
0.011352013796567917,
0.3067415654659271,
-0.09572187066078186,
-0.17017193138599396,
0.08457709103822708,
-0.07569780200719833,
-0.08605175465345383,
-0.051421258598566055,
0.2711253762245178,
0.17782904207706451,
0.04539410024881363,
0.055525828152894974,
0.4602868854999542,
-0.04975072667002678,
-0.1465178281068802,
-0.020975535735487938,
-0.021389184519648552,
-0.3999607264995575,
-0.17749764025211334,
-0.08906100690364838,
0.17003083229064941,
-0.33483171463012695,
0.24291029572486877,
-0.04528403654694557,
-0.10608486086130142,
0.120690256357193,
0.012443204410374165,
-0.13162140548229218,
-0.03240368515253067,
0.03830329328775406,
0.18737448751926422,
0.22846567630767822,
0.736083984375,
0.03749365732073784,
0.08689601719379425,
-0.09599608927965164,
-0.05491280183196068,
0.054358530789613724,
-0.09335985034704208,
-0.2339468002319336,
-0.1753934770822525,
0.0794786661863327,
0.09167445451021194,
0.07787389308214188,
-0.671375572681427,
-0.3535114526748657,
0.010525512509047985,
0.010181042365729809,
0.07833046466112137,
0.7260477542877197,
0.07258034497499466,
-0.15513920783996582,
-0.15334580838680267,
-0.3561757504940033,
0.060089774429798126,
-0.2716902494430542,
0.1818743348121643,
-0.4164091944694519
] |
https://github.com/huggingface/datasets/issues/217 | Multi-task dataset mixing | @zphang is having different batch sizes per task actually helpful? Would be interesting to know as it's not something I've come across as a technique used by any MTL papers. | It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
| 30 | Multi-task dataset mixing
It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
@zphang is having different batch sizes per task actually helpful? Would be interesting to know as it's not something I've come across as a technique used by any MTL papers. | [
-0.09692893177270889,
-0.46223804354667664,
-0.07604547590017319,
0.01724984496831894,
-0.30476319789886475,
0.05286415293812752,
0.22632136940956116,
0.0648956298828125,
0.27689728140830994,
-0.11790042370557785,
-0.17251333594322205,
0.2042180895805359,
-0.25846952199935913,
0.4444766044616699,
0.4080321490764618,
-0.4105130434036255,
0.014127123169600964,
-0.27331623435020447,
-0.2500169575214386,
0.39677613973617554,
0.05055159702897072,
0.08481944352388382,
-0.17099398374557495,
0.06342416256666183,
-0.24067102372646332,
-0.13419800996780396,
-0.3394121527671814,
0.08957803249359131,
0.1340940296649933,
0.02739320881664753,
0.14990690350532532,
0.3057299554347992,
0.027069218456745148,
0.1451931744813919,
-0.00011703866766765714,
-0.10317951440811157,
0.22462137043476105,
-0.05497625097632408,
0.12323480099439621,
-0.03875386714935303,
0.11764135956764221,
-0.4690670371055603,
0.0013242801651358604,
-0.09075816720724106,
0.27294179797172546,
0.19905000925064087,
0.24085493385791779,
0.05113803222775459,
0.3071523606777191,
-0.30362674593925476,
0.08462025225162506,
0.2716977000236511,
-0.23924730718135834,
0.3131468892097473,
-0.04093201458454132,
-0.03336275741457939,
0.06543541699647903,
0.2598794102668762,
0.7037147283554077,
-0.5388655066490173,
0.003553200513124466,
0.11596129834651947,
0.028103794902563095,
-0.021970883011817932,
0.13279123604297638,
-0.07223263382911682,
-0.2183319479227066,
-0.2454032301902771,
-0.34902623295783997,
0.20940133929252625,
-0.05419535934925079,
-0.08674006909132004,
-0.21434028446674347,
-0.5842272043228149,
-0.018567940220236778,
0.05227060988545418,
-0.3170750141143799,
0.13627299666404724,
-0.20855510234832764,
-0.07745742797851562,
-0.19316919147968292,
-0.10364782065153122,
-0.019546326249837875,
0.10086861997842789,
0.3700273633003235,
0.5515711307525635,
0.05214443802833557,
0.16430160403251648,
0.3478100895881653,
0.02283669263124466,
-0.10691897571086884,
-0.24575915932655334,
0.29284951090812683,
0.12592418491840363,
-0.35657069087028503,
-0.31134751439094543,
0.18628418445587158,
-0.2371801882982254,
0.285808265209198,
0.06318151950836182,
0.13804517686367035,
0.039516106247901917,
-0.10145347565412521,
0.20296595990657806,
0.38573935627937317,
0.09933821111917496,
-0.08045084774494171,
-0.14554166793823242,
0.02665860950946808,
-0.16947370767593384,
0.19106633961200714,
0.15759578347206116,
0.15331681072711945,
-0.08121456205844879,
-0.46981364488601685,
-0.13959696888923645,
-0.24632896482944489,
0.12414982169866562,
-0.18019212782382965,
-0.5548356175422668,
-0.06913377344608307,
-0.20435194671154022,
0.027278970927000046,
-0.1281009018421173,
-0.2890937924385071,
0.13472577929496765,
-0.0876297578215599,
0.2149021029472351,
-0.13607260584831238,
0.0736110582947731,
-0.04291783645749092,
0.06125001236796379,
-0.470269113779068,
-0.10851015150547028,
0.2724400460720062,
0.1882496476173401,
0.0766226127743721,
0.1188499927520752,
-0.04511119797825813,
0.11725517362356186,
0.3278568685054779,
0.01572209596633911,
-0.0059085325337946415,
0.01859467290341854,
0.2151927798986435,
-0.3085087835788727,
-0.09372963011264801,
0.2627731263637543,
-0.382362425327301,
-0.04949548467993736,
-0.22280055284500122,
-0.17501120269298553,
0.15861134231090546,
0.013053442351520061,
-0.13337022066116333,
-0.246748149394989,
-0.5358601808547974,
0.6971766948699951,
0.029376566410064697,
-0.06125430762767792,
-0.1539636254310608,
0.24740588665008545,
-0.21105189621448517,
-0.14691412448883057,
0.08802849799394608,
0.06152286008000374,
-0.07157918065786362,
-0.34737658500671387,
-0.03984463959932327,
-0.08777172863483429,
0.016240296885371208,
0.33794912695884705,
-0.19569700956344604,
0.26970529556274414,
0.07623108476400375,
0.12101157009601593,
0.2956900894641876,
-0.4761197566986084,
-0.042139604687690735,
0.39082038402557373,
-0.029753265902400017,
0.35634148120880127,
0.12997478246688843,
0.2487468123435974,
-0.01919848844408989,
-0.17189978063106537,
0.27164551615715027,
0.9539662599563599,
-0.4012835621833801,
0.032429929822683334,
-0.1284986287355423,
-0.4258193075656891,
0.5435500144958496,
0.288767546415329,
0.0950731560587883,
-0.29588931798934937,
-0.08115857094526291,
0.05353771150112152,
0.14724500477313995,
0.11203324049711227,
0.12126505374908447,
-0.06787168234586716,
-0.3955807089805603,
0.023653090000152588,
-0.19152028858661652,
-0.10705969482660294,
-0.4190424978733063,
-0.0004107767890673131,
-0.09667208045721054,
0.2867058515548706,
0.345079243183136,
-0.0710882917046547,
0.30363792181015015,
-0.31333696842193604,
-0.08020184189081192,
-0.3391849398612976,
0.0749736800789833,
-0.11293651163578033,
0.008268136531114578,
-0.302785724401474,
-0.060413725674152374,
0.3214499056339264,
0.13272054493427277,
-0.1588383913040161,
-0.46373865008354187,
0.2198476642370224,
-0.0665503740310669,
0.07297101616859436,
-0.006660561077296734,
0.6013069748878479,
-0.24156352877616882,
-0.0950026661157608,
0.14528316259384155,
0.2679246962070465,
-0.299379825592041,
0.23697495460510254,
0.27708864212036133,
0.2627179026603699,
0.21460787951946259,
0.04104560241103172,
0.18638287484645844,
-0.10739437490701675,
-0.06513883918523788,
-0.21716973185539246,
-0.07372776418924332,
0.46423739194869995,
-0.13604377210140228,
0.4431437849998474,
-0.04130024462938309,
-0.05664600059390068,
-0.23851493000984192,
-0.04269196093082428,
-0.20221076905727386,
0.3690052926540375,
0.3462929129600525,
-0.189581960439682,
0.297355055809021,
-0.101374551653862,
-0.3327431380748749,
0.15535064041614532,
0.11895082145929337,
0.09320942312479019,
0.05557192862033844,
-0.012828504666686058,
-0.03845524787902832,
-0.29319971799850464,
-0.14500245451927185,
0.3609071969985962,
0.6997565031051636,
0.2174215465784073,
0.1800074726343155,
0.027522020041942596,
-0.1548192799091339,
-0.13634850084781647,
0.015728579834103584,
0.17999443411827087,
-0.043210454285144806,
0.17419350147247314,
0.0200825035572052,
0.04398098960518837,
0.05878245085477829,
-0.13080257177352905,
0.14341099560260773,
-0.20149332284927368,
-0.04728226736187935,
0.007520558312535286,
-0.2275296151638031,
-0.6512371897697449,
-0.31002506613731384,
0.024343211203813553,
-0.3236200213432312,
-0.24214604496955872,
0.07698982208967209,
-0.004847442731261253,
-0.14679484069347382,
0.09195481240749359,
0.19153852760791779,
0.6404311656951904,
-0.4318293631076813,
-0.1751059889793396,
-0.024588700383901596,
-0.25083765387535095,
-0.15639041364192963,
0.09369321912527084,
0.469990611076355,
0.24401967227458954,
0.4443300664424896,
0.2816877067089081,
-0.06684470921754837,
0.10976660996675491,
-0.36882197856903076,
0.022475531324744225,
-0.23586638271808624,
0.2514665424823761,
0.1361657828092575,
-0.25158631801605225,
0.19181467592716217,
-0.33062925934791565,
-0.05950085073709488,
-0.10711812227964401,
-0.0802377238869667,
-0.14460338652133942,
-0.017944110557436943,
0.06091868877410889,
-0.21953335404396057,
-0.1628664880990982,
-0.6563559174537659,
-0.42742374539375305,
0.29517605900764465,
-0.235421821475029,
0.09205694496631622,
0.04310010001063347,
-0.2766208052635193,
0.16108925640583038,
-0.11539862304925919,
0.005505555309355259,
-0.1104394719004631,
-0.12340112775564194,
-0.06430736184120178,
-0.3830779492855072,
-0.148684561252594,
-0.3794017434120178,
-0.032763343304395676,
0.21915273368358612,
-0.013218380510807037,
-0.06567750871181488,
-0.138601154088974,
0.09972263127565384,
-0.19404838979244232,
0.0751047134399414,
0.288838267326355,
0.07945176959037781,
-0.3194800913333893,
0.13742317259311676,
-0.04164227098226547,
-0.24689322710037231,
0.16785089671611786,
0.34957805275917053,
0.4843294620513916,
0.184091717004776,
0.022530699148774147,
0.16180577874183655,
0.7138546705245972,
0.23926393687725067,
0.07667479664087296,
0.12391604483127594,
0.27780720591545105,
-0.027644306421279907,
0.15621866285800934,
-0.15137889981269836,
0.34679922461509705,
-0.13601264357566833,
0.45005154609680176,
0.12394843995571136,
0.21397538483142853,
-0.19466973841190338,
-0.2623998522758484,
-0.008468929678201675,
-0.26845189929008484,
-0.1703481525182724,
0.2559320032596588,
-0.255561888217926,
0.049365218728780746,
-0.06720167398452759,
-0.47130417823791504,
-0.26852747797966003,
-0.04071032628417015,
-0.04501020535826683,
0.3134006857872009,
-0.07623044401407242,
0.1900920867919922,
-0.3363177180290222,
-0.13906937837600708,
-0.4542549252510071,
0.1405397355556488,
0.0639505535364151,
0.3106072247028351,
-0.04748280718922615,
-0.06475035846233368,
-0.08007989823818207,
0.1626020222902298,
0.6325609683990479,
-0.48288866877555847,
-0.14991648495197296,
0.014306745491921902,
0.10305792838335037,
-0.08693014085292816,
-0.1750022917985916,
-0.24498899281024933,
0.004539347719401121,
0.4797534644603729,
0.37007424235343933,
-0.32539159059524536,
-0.280244380235672,
0.2273396998643875,
-0.20513874292373657,
-0.050977673381567,
-0.22064723074436188,
-0.2203364372253418,
-0.12599420547485352,
-0.0952439159154892,
0.07316458225250244,
0.17764057219028473,
0.24161885678768158,
-0.15876391530036926,
0.18788036704063416,
-0.020658278837800026,
0.2550891935825348,
0.1945965588092804,
-0.011927830055356026,
-0.09128247946500778,
0.2523726522922516,
0.11457360535860062,
-0.00043937304872088134,
-0.07985694706439972,
-0.24603654444217682,
0.0720708891749382,
-0.10971274971961975,
0.19002987444400787,
0.3117484450340271,
-0.054916370660066605,
0.6821688413619995,
0.07290902733802795,
0.3269191086292267,
0.23021718859672546,
-0.09951464086771011,
0.043482255190610886,
-0.19248592853546143,
0.1378147006034851,
0.176866814494133,
0.22169746458530426,
-0.18922339379787445,
-0.22393718361854553,
0.5282303094863892,
0.36822330951690674,
-0.021432960405945778,
0.3635035753250122,
-0.6384041905403137,
-0.2950289249420166,
0.24399586021900177,
0.03697944059967995,
0.620188295841217,
0.0012559413444250822,
0.3311546742916107,
-0.028298621997237206,
-0.3404570519924164,
0.5145266056060791,
-0.3430119454860687,
0.1747768521308899,
-0.06714142858982086,
-0.13017140328884125,
0.02278958074748516,
-0.10523965954780579,
-0.03440069034695625,
0.3134416341781616,
-0.2745059132575989,
0.33596789836883545,
0.4565870761871338,
-0.2524252235889435,
-0.12036897242069244,
0.5019969940185547,
-0.0001571260072523728,
-0.3571082055568695,
-0.026804259046912193,
0.025746650993824005,
-0.24538463354110718,
0.13652046024799347,
-0.22022758424282074,
-0.22735601663589478,
0.22728382050991058,
0.15298515558242798,
-0.3146010935306549,
0.04300118237733841,
-0.022225186228752136,
0.19116652011871338,
0.2674506902694702,
0.009534700773656368,
0.2880604863166809,
-0.20601926743984222,
-0.11121570318937302,
-0.15486107766628265,
-0.06647585332393646,
0.09129443764686584,
-0.1101321280002594,
0.09081549942493439,
0.08554155379533768,
-0.18792083859443665,
0.46513205766677856,
-0.08558332920074463,
-0.04987647756934166,
-0.23923133313655853,
0.24239233136177063,
-0.39156830310821533,
-0.22097696363925934,
0.20412589609622955,
0.1990998089313507,
0.23439107835292816,
-0.3496170938014984,
0.5967291593551636,
0.11620349436998367,
0.06519223004579544,
0.0013030694099143147,
0.17796778678894043,
-0.1788128912448883,
0.5910230875015259,
-0.31430843472480774,
-0.025046851485967636,
0.040158215910196304,
-0.061759501695632935,
-0.03130752220749855,
-0.4336966872215271,
-0.07607518136501312,
0.29465752840042114,
0.14731968939304352,
0.04011399298906326,
0.07178951054811478,
0.06344687938690186,
-0.024860626086592674,
0.006633422803133726,
-0.08219339698553085,
-0.27645134925842285,
0.21565330028533936,
0.21482659876346588,
0.176828533411026,
0.24704387784004211,
-0.06320678442716599,
-0.2921839654445648,
-0.11573295295238495,
0.46784716844558716,
-0.030525602400302887,
0.21432989835739136,
-0.14435698091983795,
0.429349809885025,
0.4802251160144806,
0.5306455492973328,
-0.20600438117980957,
0.08634356409311295,
0.11954691261053085,
0.09168463945388794,
0.4120355248451233,
-0.11529985815286636,
0.01623450592160225,
0.3485606014728546,
-0.20053036510944366,
0.0638982504606247,
-0.3479441702365875,
-0.11550626158714294,
-0.23809675872325897,
0.1280660182237625,
0.1398671418428421,
0.02418104000389576,
0.040377579629421234,
-0.10755127668380737,
-0.059195809066295624,
-0.025316447019577026,
0.017238257452845573,
-0.3293403685092926,
-0.06795470416545868,
0.10453077405691147,
-0.025514516979455948,
0.015602421015501022,
0.09028758108615875,
0.3568158745765686,
0.0729781836271286,
-0.09809110313653946,
0.34946945309638977,
0.13369199633598328,
0.1295308917760849,
-0.1518435925245285,
-0.21585892140865326,
-0.04204433411359787,
0.2591365873813629,
0.17299015820026398,
-0.14142635464668274,
0.12014427036046982,
-0.23301859200000763,
-0.12351936846971512,
0.20526495575904846,
0.2321888953447342,
0.07684151828289032,
-0.12201099842786789,
0.13692405819892883,
0.06485427916049957,
-0.04432749003171921,
-0.004679468926042318,
0.18947133421897888,
0.0924200788140297,
0.02123846486210823,
0.16045896708965302,
0.18984226882457733,
0.4918515086174011,
-0.26601511240005493,
0.025715693831443787,
0.08390598744153976,
-0.34789299964904785,
0.10506028681993484,
-0.15809723734855652,
-0.05164264142513275,
0.019299570471048355,
0.19063155353069305,
-0.053772859275341034,
0.1364482343196869,
-0.2919658422470093,
0.35888415575027466,
0.25594571232795715,
0.058684926480054855,
-0.01334156934171915,
0.139642134308815,
-0.039308253675699234,
-0.20437964797019958,
0.33291301131248474,
0.0015009588096290827,
0.32949626445770264,
0.022727901116013527,
0.8239643573760986,
-0.22451326251029968,
-0.4310360848903656,
0.1678004264831543,
0.4035535752773285,
0.02263057231903076,
-0.24922850728034973,
0.12385416775941849,
0.10800202190876007,
-0.31046244502067566,
0.1577770709991455,
0.009082038886845112,
-0.11470063030719757,
0.6107502579689026,
-0.08435121923685074,
0.16867586970329285,
-0.18480560183525085,
-0.2317778617143631,
0.36075058579444885,
0.06150565296411514,
-0.11912164837121964,
0.03143597021698952,
0.014173964969813824,
-0.0898064374923706,
-0.13866391777992249,
0.5110018849372864,
0.19786576926708221,
0.08152861148118973,
-0.3625519573688507,
-0.08625281602144241,
0.12035294622182846,
0.23069070279598236,
-0.1393299102783203,
0.12428078055381775,
0.5147860050201416,
-0.18943631649017334,
0.2248300313949585,
-0.031415846198797226,
-0.027001993730664253,
-0.07785646617412567,
0.05451812222599983,
-0.4602070748806,
-0.4399226903915405,
0.43461495637893677,
0.041092630475759506,
-0.11985684186220169,
0.05708609148859978,
0.39168450236320496,
-0.6262607574462891,
-0.2196517139673233,
0.336073637008667,
-0.15085943043231964,
-0.08783341944217682,
-0.24786457419395447,
0.05479937419295311,
0.061759013682603836,
0.6547300219535828,
0.2686654031276703,
0.3616766035556793,
-0.36749380826950073,
-0.13172876834869385,
-0.5774889588356018,
-0.18853674829006195,
0.09687331318855286,
-0.026181375607848167,
-0.28758934140205383,
0.23825061321258545,
-0.11827666312456131,
0.2193918079137802,
-0.12811683118343353,
0.10893595218658447,
0.17497029900550842,
0.07805264741182327,
-0.42623022198677063,
0.11324404180049896,
0.09243196994066238,
0.08165384083986282,
0.27569735050201416,
-0.08105088025331497,
-0.14506039023399353,
0.036099594086408615,
-0.12800276279449463,
-0.14890070259571075,
-0.09801267087459564,
0.32596859335899353,
0.2252088487148285,
0.09227728843688965,
0.03513956442475319,
0.5028653740882874,
0.028904732316732407,
-0.19265539944171906,
-0.07568595558404922,
0.004324793815612793,
-0.35453471541404724,
-0.16355323791503906,
-0.05845796316862106,
0.16321328282356262,
-0.4496604800224304,
0.3605158030986786,
0.049265794456005096,
-0.11139561980962753,
0.09741564095020294,
0.02194923907518387,
-0.0988563820719719,
-0.09097585827112198,
0.08899512141942978,
0.15876562893390656,
0.28199073672294617,
0.7396939396858215,
0.01803232915699482,
0.04638202488422394,
-0.09544392675161362,
0.010542252101004124,
-0.019518977031111717,
-0.0713992640376091,
-0.21920378506183624,
-0.20084305107593536,
0.07530664652585983,
-0.03850206732749939,
0.08397145569324493,
-0.6680580973625183,
-0.40913698077201843,
0.03187616914510727,
0.04847078025341034,
0.07243166118860245,
0.7247983813285828,
0.05399908870458603,
-0.18400447070598602,
-0.11854583024978638,
-0.3672243654727936,
0.03123132511973381,
-0.2750071883201599,
0.1617082804441452,
-0.3264085054397583
] |
https://github.com/huggingface/datasets/issues/217 | Multi-task dataset mixing | > @zphang is having different batch sizes per task actually helpful? Would be interesting to know as it's not something I've come across as a technique used by any MTL papers.
I think having different batch sizes per task is particularly helpful in some scenarios where each task has different amount of data. For example, the problem I'm currently facing is one task has tens of thousands of samples while one task has a couple hundreds. I think in this case different batch size could help. But if using the same batch size is a lot simpler to implement, I guess it makes sense to go with that. | It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
| 108 | Multi-task dataset mixing
It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
> @zphang is having different batch sizes per task actually helpful? Would be interesting to know as it's not something I've come across as a technique used by any MTL papers.
I think having different batch sizes per task is particularly helpful in some scenarios where each task has different amount of data. For example, the problem I'm currently facing is one task has tens of thousands of samples while one task has a couple hundreds. I think in this case different batch size could help. But if using the same batch size is a lot simpler to implement, I guess it makes sense to go with that. | [
-0.15286588668823242,
-0.48510846495628357,
-0.08828972280025482,
0.043889012187719345,
-0.30230480432510376,
0.025921138003468513,
0.26860523223876953,
0.0912453681230545,
0.27223002910614014,
-0.07411877810955048,
-0.16743925213813782,
0.12118729948997498,
-0.25727298855781555,
0.4499777555465698,
0.36345285177230835,
-0.406209260225296,
0.030634230002760887,
-0.2730120122432709,
-0.22878915071487427,
0.4066847264766693,
0.03692016005516052,
0.05140312388539314,
-0.13749800622463226,
0.04864584654569626,
-0.23849353194236755,
-0.15247581899166107,
-0.3196727931499481,
0.05557989329099655,
0.19754455983638763,
0.04465049132704735,
0.11467429995536804,
0.30155107378959656,
0.04731499031186104,
0.1570083647966385,
-0.0001164070563390851,
-0.0821220800280571,
0.22991499304771423,
-0.020130082964897156,
0.07947643846273422,
-0.01903468184173107,
0.13090038299560547,
-0.5154121518135071,
-0.03749954327940941,
-0.1042584776878357,
0.2734789550304413,
0.21355992555618286,
0.265973299741745,
0.03253597766160965,
0.25440800189971924,
-0.29471635818481445,
0.09862415492534637,
0.3221178352832794,
-0.297036737203598,
0.2996925115585327,
-0.010349895805120468,
-0.014742602594196796,
0.0532819889485836,
0.2629302442073822,
0.6999949216842651,
-0.4993143677711487,
0.001270392327569425,
0.1606196165084839,
0.027350544929504395,
0.02736632153391838,
0.10411415249109268,
-0.05754983797669411,
-0.1475425660610199,
-0.22595557570457458,
-0.30797481536865234,
0.24689747393131256,
-0.08192521333694458,
-0.06607388705015182,
-0.23695650696754456,
-0.6513190865516663,
-0.007323681842535734,
0.04993271455168724,
-0.350864052772522,
0.1869450807571411,
-0.1884656399488449,
-0.09649728983640671,
-0.15846073627471924,
-0.05361097678542137,
-0.007652486674487591,
0.06648122519254684,
0.3757088780403137,
0.5052570700645447,
0.013429636135697365,
0.17369171977043152,
0.34670865535736084,
0.031212300062179565,
-0.10651310533285141,
-0.2447148561477661,
0.2853567600250244,
0.10458478331565857,
-0.37025871872901917,
-0.2722153663635254,
0.16172201931476593,
-0.264308363199234,
0.27126145362854004,
0.02366454340517521,
0.17093400657176971,
0.021655602380633354,
-0.06886782497167587,
0.17013129591941833,
0.4097623825073242,
0.11251693964004517,
-0.09519115835428238,
-0.1455383002758026,
0.041093651205301285,
-0.1776208132505417,
0.18310900032520294,
0.20799778401851654,
0.14859317243099213,
-0.13576622307300568,
-0.465637743473053,
-0.08216284960508347,
-0.25629356503486633,
0.14932109415531158,
-0.20054614543914795,
-0.5421445369720459,
-0.046839382499456406,
-0.23184746503829956,
-0.009074853733181953,
-0.11373739689588547,
-0.2909088134765625,
0.14404429495334625,
-0.11999616771936417,
0.2271474003791809,
-0.16093473136425018,
0.0743538960814476,
-0.057899102568626404,
0.0046853795647621155,
-0.44629862904548645,
-0.11514412611722946,
0.269219309091568,
0.1677376627922058,
0.08348635584115982,
0.0706985667347908,
-0.0673728734254837,
0.11798155307769775,
0.2836701273918152,
-0.004395791329443455,
-0.03297993540763855,
0.039601776748895645,
0.22117310762405396,
-0.27689042687416077,
-0.13525167107582092,
0.3050743639469147,
-0.39978766441345215,
-0.02252546325325966,
-0.23434102535247803,
-0.19428612291812897,
0.18709291517734528,
0.02074514701962471,
-0.1286899596452713,
-0.22317051887512207,
-0.5973212122917175,
0.6830009818077087,
0.06751760095357895,
-0.0465238094329834,
-0.15667112171649933,
0.17821672558784485,
-0.19402417540550232,
-0.17894063889980316,
0.011591852642595768,
0.08312398195266724,
-0.06165257841348648,
-0.34613537788391113,
0.0005165084730833769,
-0.11840606480836868,
0.015426012687385082,
0.3973839581012726,
-0.1924615204334259,
0.2865569591522217,
0.09445211291313171,
0.12006434053182602,
0.26640889048576355,
-0.47417494654655457,
-0.04938250780105591,
0.4507997930049896,
-0.019094614312052727,
0.350606232881546,
0.16728410124778748,
0.26022228598594666,
0.00202055461704731,
-0.17475317418575287,
0.23725663125514984,
0.8971971273422241,
-0.4060545861721039,
0.08358033746480942,
-0.13938412070274353,
-0.42281413078308105,
0.5240347981452942,
0.31012481451034546,
0.1059497594833374,
-0.3104816973209381,
-0.06986027956008911,
0.04622741788625717,
0.13682259619235992,
0.0981062576174736,
0.12557409703731537,
-0.05776312202215195,
-0.4325704574584961,
-0.0024137741420418024,
-0.19192562997341156,
-0.06833650171756744,
-0.4964830279350281,
0.0032334611751139164,
-0.15541410446166992,
0.2653368413448334,
0.373635470867157,
-0.05858943983912468,
0.3415443003177643,
-0.3247836232185364,
-0.06826767325401306,
-0.31966665387153625,
0.07443998754024506,
-0.09567189961671829,
0.03928600996732712,
-0.3197909891605377,
-0.06206311285495758,
0.32378122210502625,
0.12032081186771393,
-0.1444503515958786,
-0.4255875051021576,
0.19232165813446045,
-0.03772430494427681,
0.08093028515577316,
0.01669754460453987,
0.5754877924919128,
-0.2911284863948822,
-0.12075066566467285,
0.10930120944976807,
0.24802954494953156,
-0.28013497591018677,
0.21860824525356293,
0.21097511053085327,
0.2668554484844208,
0.25490397214889526,
0.12753546237945557,
0.20218488574028015,
-0.12013927847146988,
-0.09720587730407715,
-0.21976572275161743,
-0.032139670103788376,
0.44920292496681213,
-0.09584470093250275,
0.467934250831604,
-0.041421566158533096,
-0.10826423019170761,
-0.22867219150066376,
-0.042063381522893906,
-0.20951521396636963,
0.3518669307231903,
0.33880478143692017,
-0.1527584046125412,
0.32122376561164856,
-0.08753787726163864,
-0.321072518825531,
0.1529049128293991,
0.09710444509983063,
0.07538942992687225,
0.05987492576241493,
-0.015521951019763947,
-0.04942828044295311,
-0.2951929271221161,
-0.16740119457244873,
0.34958815574645996,
0.7306098341941833,
0.22298826277256012,
0.19981880486011505,
-0.001651662983931601,
-0.1664976179599762,
-0.16180939972400665,
-0.007260547950863838,
0.19259802997112274,
-0.01902139000594616,
0.20632898807525635,
0.026077723130583763,
0.010703319683670998,
0.047556839883327484,
-0.14258535206317902,
0.12812817096710205,
-0.19433870911598206,
-0.03902191296219826,
0.001226053573191166,
-0.2181590497493744,
-0.6630987524986267,
-0.34492480754852295,
0.039668839424848557,
-0.27959340810775757,
-0.2296169549226761,
0.09637480229139328,
0.006200928241014481,
-0.2022167593240738,
0.09744171798229218,
0.2544863224029541,
0.655793309211731,
-0.420545369386673,
-0.12200190126895905,
-0.011811833828687668,
-0.24652491509914398,
-0.18224340677261353,
0.08044201135635376,
0.47870898246765137,
0.19717244803905487,
0.4226313829421997,
0.2554946839809418,
-0.07075616717338562,
0.08091502636671066,
-0.3518062233924866,
0.02570156194269657,
-0.24721641838550568,
0.24243222177028656,
0.1162124052643776,
-0.23505346477031708,
0.19698381423950195,
-0.3383501172065735,
-0.03175223991274834,
-0.11529609560966492,
-0.07352671027183533,
-0.18286468088626862,
-0.022766392678022385,
0.045827172696590424,
-0.21434544026851654,
-0.1471017599105835,
-0.6761796474456787,
-0.4236726462841034,
0.3288803994655609,
-0.25891757011413574,
0.08312948048114777,
0.0686505064368248,
-0.24256260693073273,
0.11010275036096573,
-0.12082315981388092,
0.020177340134978294,
-0.10749764740467072,
-0.13586480915546417,
-0.10517019033432007,
-0.3834724426269531,
-0.16408555209636688,
-0.4417365789413452,
-0.051664721220731735,
0.2295839935541153,
0.027339935302734375,
-0.10456004738807678,
-0.13729730248451233,
0.09618272632360458,
-0.2293078601360321,
0.07182291895151138,
0.30790331959724426,
0.05160672217607498,
-0.35603106021881104,
0.13332130014896393,
-0.012046161107718945,
-0.21837808191776276,
0.12953494489192963,
0.37781327962875366,
0.49136731028556824,
0.14920923113822937,
0.02477382868528366,
0.12455224990844727,
0.7539135813713074,
0.20179376006126404,
0.0599365197122097,
0.10636753588914871,
0.24882186949253082,
-0.01694445125758648,
0.1358461081981659,
-0.11611074954271317,
0.3977302014827728,
-0.13664832711219788,
0.4263165295124054,
0.17098748683929443,
0.19975203275680542,
-0.20308181643486023,
-0.19826583564281464,
-0.04472154378890991,
-0.2616243064403534,
-0.18588194251060486,
0.28222331404685974,
-0.22426706552505493,
0.052601028233766556,
-0.08051076531410217,
-0.4398553669452667,
-0.2861534357070923,
-0.030420077964663506,
-0.06067369133234024,
0.27411526441574097,
-0.09199509024620056,
0.18165338039398193,
-0.3203600347042084,
-0.15978291630744934,
-0.4608956575393677,
0.14598330855369568,
0.0887591615319252,
0.3017212152481079,
-0.012457234784960747,
-0.08777331560850143,
-0.07358939945697784,
0.20257115364074707,
0.6373810768127441,
-0.4487636983394623,
-0.16017547249794006,
-0.005617096088826656,
0.060697879642248154,
-0.13317398726940155,
-0.21247699856758118,
-0.25151175260543823,
-0.0027013730723410845,
0.46255525946617126,
0.3910320997238159,
-0.3513210415840149,
-0.29208076000213623,
0.1962275505065918,
-0.16269095242023468,
-0.055912625044584274,
-0.2322782278060913,
-0.24113129079341888,
-0.10254275798797607,
-0.10813780128955841,
0.1177346333861351,
0.15848411619663239,
0.23454289138317108,
-0.16833271086215973,
0.16883866488933563,
-0.03416478633880615,
0.21754121780395508,
0.17560790479183197,
0.002339516067877412,
-0.08446969836950302,
0.2803274691104889,
0.11757047474384308,
-0.018795425072312355,
-0.052353385835886,
-0.189988374710083,
0.08903053402900696,
-0.16537900269031525,
0.19147714972496033,
0.3219180107116699,
-0.037185173481702805,
0.6493059396743774,
0.09719598293304443,
0.3355262279510498,
0.19747301936149597,
-0.05717593431472778,
0.10656388849020004,
-0.20644046366214752,
0.16744384169578552,
0.1632014513015747,
0.19573573768138885,
-0.2039261907339096,
-0.2500295042991638,
0.5089161396026611,
0.40791377425193787,
-0.00574007211253047,
0.3332831561565399,
-0.6443982720375061,
-0.25987672805786133,
0.2356385737657547,
0.0071029458194971085,
0.5431051850318909,
0.005898382514715195,
0.3782312273979187,
-0.0436672568321228,
-0.31204620003700256,
0.4807913601398468,
-0.3299480974674225,
0.16691407561302185,
-0.04985669627785683,
-0.1427994817495346,
0.0768360123038292,
-0.09651881456375122,
-0.05870410054922104,
0.3432527482509613,
-0.21262706816196442,
0.34454935789108276,
0.4961306154727936,
-0.2248220592737198,
-0.1798940896987915,
0.47908756136894226,
-0.012490312568843365,
-0.3797689378261566,
0.0026408659759908915,
0.029900772497057915,
-0.23055540025234222,
0.162584587931633,
-0.21588599681854248,
-0.20611147582530975,
0.2247895896434784,
0.1379055380821228,
-0.3079603612422943,
-0.02638506144285202,
-0.05604485794901848,
0.19251853227615356,
0.26101288199424744,
-0.017163416370749474,
0.2552068829536438,
-0.24698959290981293,
-0.11747213453054428,
-0.17436344921588898,
-0.05939332768321037,
0.0534646101295948,
-0.09174803644418716,
0.11164917796850204,
0.07159272581338882,
-0.19615225493907928,
0.4640113115310669,
-0.07571952790021896,
-0.021193843334913254,
-0.2242819368839264,
0.23087891936302185,
-0.36356255412101746,
-0.22265036404132843,
0.20926374197006226,
0.14877180755138397,
0.23195643723011017,
-0.31442955136299133,
0.5743625164031982,
0.08713387697935104,
0.07795105129480362,
0.010979154147207737,
0.1568935513496399,
-0.12796734273433685,
0.6329970955848694,
-0.29411858320236206,
-0.07013030350208282,
-0.006362774409353733,
-0.0899035632610321,
0.01585705578327179,
-0.447561115026474,
-0.06190009042620659,
0.2750469446182251,
0.13799358904361725,
0.02883337438106537,
0.09607573598623276,
0.046322837471961975,
-0.07321401685476303,
0.024421853944659233,
-0.05657600983977318,
-0.26283901929855347,
0.21956203877925873,
0.24102330207824707,
0.1873137205839157,
0.2717297673225403,
-0.06187158450484276,
-0.26336997747421265,
-0.10183033347129822,
0.4638352394104004,
-0.013535781763494015,
0.242749884724617,
-0.09981802850961685,
0.4236369729042053,
0.47125065326690674,
0.5466593503952026,
-0.20703795552253723,
0.07370612025260925,
0.13231603801250458,
0.09527600556612015,
0.39160579442977905,
-0.05915427953004837,
0.041305460035800934,
0.40140241384506226,
-0.1892259567975998,
0.08920932561159134,
-0.3487740755081177,
-0.1275123655796051,
-0.22972333431243896,
0.12747325003147125,
0.15703824162483215,
0.037528280168771744,
0.05876709148287773,
-0.08815556019544601,
-0.013388999737799168,
-0.0449567586183548,
0.06431688368320465,
-0.29070714116096497,
-0.0705222487449646,
0.08662527054548264,
0.019151579588651657,
0.014970763586461544,
0.12828946113586426,
0.41452303528785706,
0.07437872141599655,
-0.08982500433921814,
0.3278346061706543,
0.13821078836917877,
0.15724597871303558,
-0.12971721589565277,
-0.21711260080337524,
-0.08144577592611313,
0.27161285281181335,
0.1716538965702057,
-0.16723279654979706,
0.09358716011047363,
-0.21851016581058502,
-0.08033716678619385,
0.1846632957458496,
0.24251535534858704,
0.07674810290336609,
-0.12868663668632507,
0.1766478419303894,
0.07308002561330795,
-0.02340264804661274,
-0.0032806992530822754,
0.13657641410827637,
0.09948007762432098,
0.03915456309914589,
0.20603764057159424,
0.2117110639810562,
0.5047963261604309,
-0.23347993195056915,
0.01652541756629944,
0.06762881577014923,
-0.3135482668876648,
0.09969256073236465,
-0.1387844681739807,
-0.016194675117731094,
0.02821793034672737,
0.2262631058692932,
-0.08678135275840759,
0.15465785562992096,
-0.3059605360031128,
0.3273349106311798,
0.24166017770767212,
0.035662006586790085,
-0.023880939930677414,
0.12478064000606537,
-0.03723427653312683,
-0.20662900805473328,
0.33759385347366333,
-0.028999686241149902,
0.3151319622993469,
0.009087612852454185,
0.7983553409576416,
-0.23808087408542633,
-0.3960985243320465,
0.1543670892715454,
0.40715575218200684,
0.008456549607217312,
-0.26501303911209106,
0.10717971622943878,
0.13453185558319092,
-0.26112693548202515,
0.20869074761867523,
-0.047896020114421844,
-0.0980670377612114,
0.5933933854103088,
-0.06555312871932983,
0.1735769808292389,
-0.16121479868888855,
-0.26063549518585205,
0.3475784361362457,
0.008399995043873787,
-0.12483474612236023,
0.058210790157318115,
-0.029603544622659683,
-0.09513796865940094,
-0.10379590839147568,
0.506176769733429,
0.1873367726802826,
0.09599233418703079,
-0.34532901644706726,
-0.12983420491218567,
0.14326077699661255,
0.2453795224428177,
-0.1899362951517105,
0.11646655946969986,
0.49969834089279175,
-0.19961200654506683,
0.2697574496269226,
-0.025633223354816437,
-0.05195740610361099,
-0.04092932865023613,
0.04421653226017952,
-0.4889706075191498,
-0.4163160026073456,
0.41672757267951965,
0.03329286351799965,
-0.09751567989587784,
0.05186840519309044,
0.38108399510383606,
-0.6517304182052612,
-0.19317157566547394,
0.3062872290611267,
-0.18151602149009705,
-0.08955499529838562,
-0.24177570641040802,
0.05955835431814194,
0.03920209780335426,
0.7016067504882812,
0.29243552684783936,
0.3273228704929352,
-0.38327163457870483,
-0.0800289511680603,
-0.5715476870536804,
-0.1767011433839798,
0.018201302736997604,
0.00005979567868052982,
-0.2943788468837738,
0.2641196846961975,
-0.12518583238124847,
0.22162336111068726,
-0.09406119585037231,
0.08814559876918793,
0.14160321652889252,
0.07060176879167557,
-0.432794451713562,
0.09113334119319916,
0.050961684435606,
0.0823569968342781,
0.30425798892974854,
-0.07882446050643921,
-0.13369077444076538,
0.05160797759890556,
-0.13522709906101227,
-0.17467167973518372,
-0.08309821784496307,
0.3104028105735779,
0.21442173421382904,
0.108701191842556,
0.01488965842872858,
0.46078112721443176,
0.051516007632017136,
-0.1857530027627945,
-0.12474841624498367,
-0.02235616371035576,
-0.34483325481414795,
-0.13399288058280945,
-0.05004841834306717,
0.1708674281835556,
-0.4427907466888428,
0.3610154390335083,
0.04574137181043625,
-0.12132177501916885,
0.11556030064821243,
0.03411459922790527,
-0.05038754642009735,
-0.06718167662620544,
0.12175939977169037,
0.12575653195381165,
0.27909281849861145,
0.699252188205719,
0.026893798261880875,
0.020200515165925026,
-0.08986464887857437,
-0.02438351698219776,
-0.03306368738412857,
-0.05258188024163246,
-0.20456305146217346,
-0.21896381676197052,
0.0958389863371849,
-0.060808517038822174,
0.10704422742128372,
-0.641090452671051,
-0.3868038058280945,
0.0544835589826107,
0.0603058859705925,
0.058845020830631256,
0.6827637553215027,
0.07146178185939789,
-0.2238551378250122,
-0.11899235099554062,
-0.37256914377212524,
0.04101933166384697,
-0.29618901014328003,
0.15026095509529114,
-0.35550251603126526
] |
https://github.com/huggingface/datasets/issues/217 | Multi-task dataset mixing | I think that instead of proportional to size sampling you should specify weights or probabilities for drawing a batch from each dataset. We should also ensure that the smaller datasets are repeated so that the encoder layer doesn't overtrain on the largest dataset. | It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
| 43 | Multi-task dataset mixing
It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
I think that instead of proportional to size sampling you should specify weights or probabilities for drawing a batch from each dataset. We should also ensure that the smaller datasets are repeated so that the encoder layer doesn't overtrain on the largest dataset. | [
-0.10336605459451675,
-0.43319350481033325,
-0.027864355593919754,
-0.014036810025572777,
-0.2707728147506714,
0.08221656084060669,
0.15497663617134094,
0.07477432489395142,
0.3294965922832489,
-0.09033020585775375,
-0.16610087454319,
0.26055192947387695,
-0.19721542298793793,
0.40196025371551514,
0.3530554473400116,
-0.4648924469947815,
-0.05361893028020859,
-0.20055343210697174,
-0.36640307307243347,
0.33401989936828613,
0.01564602367579937,
0.08674684911966324,
-0.17946510016918182,
0.019073208793997765,
-0.2719651460647583,
-0.11051692813634872,
-0.39493528008461,
0.10839428752660751,
0.11043456196784973,
-0.013923799619078636,
0.18760821223258972,
0.34423497319221497,
0.0654187947511673,
0.05401672422885895,
-0.00011230399104533717,
-0.12137190252542496,
0.2175678014755249,
-0.09191775321960449,
0.13065959513187408,
-0.0005823251558467746,
0.07844502478837967,
-0.47050103545188904,
-0.007731327787041664,
-0.13589666783809662,
0.20232897996902466,
0.1704597920179367,
0.2904418706893921,
0.008269364014267921,
0.3929944336414337,
-0.33089274168014526,
0.09726560115814209,
0.25307050347328186,
-0.15323840081691742,
0.26218849420547485,
-0.1310250461101532,
-0.020231416448950768,
0.10178600996732712,
0.25316593050956726,
0.6352720260620117,
-0.5347999930381775,
-0.03683286905288696,
0.10696182399988174,
0.025654343888163567,
0.03074496239423752,
0.1634945124387741,
-0.08338377624750137,
-0.31913045048713684,
-0.3349868655204773,
-0.4021609127521515,
0.23699480295181274,
-0.1488322913646698,
-0.08393018692731857,
-0.2452063411474228,
-0.5854566097259521,
0.0016673466889187694,
0.01647743582725525,
-0.31532585620880127,
0.11600280553102493,
-0.2037290334701538,
-0.034372683614492416,
-0.25125637650489807,
-0.14696139097213745,
-0.04344289004802704,
0.14494949579238892,
0.3343850076198578,
0.5547482371330261,
0.08374882489442825,
0.16105464100837708,
0.36956092715263367,
0.057474736124277115,
-0.12632258236408234,
-0.31179729104042053,
0.2927980422973633,
0.1079670786857605,
-0.36915984749794006,
-0.3550264239311218,
0.13920535147190094,
-0.20298601686954498,
0.29498884081840515,
0.1029912680387497,
0.02505466900765896,
0.08368667960166931,
-0.0762173980474472,
0.2560974657535553,
0.37171295285224915,
0.09638248383998871,
-0.08300157636404037,
-0.06299041956663132,
0.0029549780301749706,
-0.06848414242267609,
0.14342010021209717,
0.17668971419334412,
0.12384498864412308,
0.0034175007604062557,
-0.4794364273548126,
-0.12967395782470703,
-0.2586895823478699,
0.07780996710062027,
-0.15980222821235657,
-0.4763878881931305,
-0.06893099099397659,
-0.11731696873903275,
0.029383568093180656,
-0.08602488040924072,
-0.29834437370300293,
0.1183156818151474,
-0.09277273714542389,
0.2307395190000534,
-0.08128528296947479,
0.037010785192251205,
-0.04833837226033211,
0.07137173414230347,
-0.4358134865760803,
-0.05891101062297821,
0.2667330503463745,
0.12061896920204163,
0.1062668040394783,
0.16640633344650269,
0.013973203487694263,
0.1516638994216919,
0.3776471018791199,
0.016560707241296768,
0.005950232967734337,
-0.06492960453033447,
0.21329852938652039,
-0.3031076192855835,
0.0006732223555445671,
0.17076852917671204,
-0.3618326783180237,
-0.1457025557756424,
-0.19035477936267853,
-0.16295617818832397,
0.09470046311616898,
0.017278753221035004,
-0.1942497342824936,
-0.2632852792739868,
-0.44688743352890015,
0.7332516312599182,
0.026847414672374725,
-0.017140312120318413,
-0.18028531968593597,
0.26064786314964294,
-0.22355805337429047,
-0.06396771967411041,
0.20860476791858673,
0.12475001811981201,
-0.016909822821617126,
-0.3514385521411896,
-0.04679785296320915,
-0.014809887856245041,
0.03452025726437569,
0.3615563213825226,
-0.2216625064611435,
0.1277332305908203,
0.06172599270939827,
0.14611102640628815,
0.21800969541072845,
-0.4322618246078491,
-0.09815123677253723,
0.40603432059288025,
-0.01648096926510334,
0.3736615478992462,
0.11828548461198807,
0.19480179250240326,
0.12559908628463745,
-0.19569601118564606,
0.24780865013599396,
1.0400980710983276,
-0.42255982756614685,
0.0221929419785738,
-0.16494378447532654,
-0.3881131410598755,
0.5052053332328796,
0.36283379793167114,
0.09461858868598938,
-0.3206782639026642,
-0.1631166636943817,
-0.026616493239998817,
0.11877492070198059,
0.04143574833869934,
0.10451076179742813,
-0.009235205128788948,
-0.4052460193634033,
-0.02248690091073513,
-0.22144314646720886,
-0.07816132158041,
-0.33089810609817505,
0.015293283388018608,
-0.08741326630115509,
0.327463835477829,
0.3405655324459076,
-0.10581555217504501,
0.28967177867889404,
-0.29848751425743103,
-0.13058112561702728,
-0.33861058950424194,
0.11447030305862427,
-0.03951876610517502,
0.07346755266189575,
-0.23656052350997925,
-0.06718111038208008,
0.3598691523075104,
0.08904359489679337,
-0.1385270208120346,
-0.5096871256828308,
0.30903857946395874,
-0.057400286197662354,
0.06364470720291138,
-0.025106757879257202,
0.5965571999549866,
-0.19375915825366974,
-0.12890735268592834,
0.14488190412521362,
0.22485187649726868,
-0.33462101221084595,
0.1949293166399002,
0.33768758177757263,
0.1734289973974228,
0.2078784704208374,
-0.08267931640148163,
0.17195749282836914,
-0.029911579564213753,
-0.09459716081619263,
-0.14048871397972107,
-0.030395962297916412,
0.5003795623779297,
-0.11950497329235077,
0.44350969791412354,
-0.01883564703166485,
0.015262207016348839,
-0.26150989532470703,
-0.09255732595920563,
-0.21653763949871063,
0.3594397306442261,
0.3366412818431854,
-0.19295217096805573,
0.36073416471481323,
-0.052114058285951614,
-0.35946568846702576,
0.14874406158924103,
0.20372191071510315,
0.08420208841562271,
0.046031318604946136,
0.020731620490550995,
-0.10165785253047943,
-0.27896127104759216,
-0.10182236135005951,
0.46157994866371155,
0.5798782706260681,
0.2789749205112457,
0.19102512300014496,
0.0029390749987214804,
-0.2511986196041107,
-0.08015933632850647,
0.035356294363737106,
0.21586604416370392,
-0.05848611146211624,
0.14054538309574127,
0.02464836649596691,
0.009309896267950535,
0.010679068975150585,
-0.11853808909654617,
0.146829754114151,
-0.18777836859226227,
-0.014902847819030285,
0.06336373835802078,
-0.19838860630989075,
-0.6163865923881531,
-0.3052627444267273,
-0.015071588568389416,
-0.35158029198646545,
-0.28699955344200134,
0.13720452785491943,
-0.0037929171230643988,
-0.13886824250221252,
0.16575385630130768,
0.12699654698371887,
0.5480086803436279,
-0.42024481296539307,
-0.17030300199985504,
-0.023589521646499634,
-0.2374991625547409,
-0.1251213550567627,
0.10783185809850693,
0.4728635251522064,
0.26112523674964905,
0.4312513768672943,
0.2812909781932831,
-0.03624337166547775,
0.12175858020782471,
-0.34444910287857056,
0.04084806144237518,
-0.2936265170574188,
0.2540328800678253,
0.011808530427515507,
-0.2061467468738556,
0.1346391886472702,
-0.4294753670692444,
-0.06051969155669212,
-0.019379181787371635,
-0.053349606692790985,
-0.028742991387844086,
-0.028220709413290024,
0.032595571130514145,
-0.17166392505168915,
-0.20089273154735565,
-0.6588302254676819,
-0.45629554986953735,
0.2835223376750946,
-0.2002888023853302,
0.09491493552923203,
0.025160131976008415,
-0.23395352065563202,
0.08987832814455032,
-0.16715094447135925,
-0.001951201120391488,
-0.12760652601718903,
-0.12098327279090881,
0.08369488269090652,
-0.35820749402046204,
-0.1671838015317917,
-0.47265300154685974,
-0.12426956743001938,
0.2418021857738495,
-0.07113909721374512,
-0.07343507558107376,
-0.1877882033586502,
0.07646551728248596,
-0.1948925405740738,
0.07409601658582687,
0.26539087295532227,
0.10548770427703857,
-0.2660577893257141,
0.10515142232179642,
0.0029675124678760767,
-0.13249844312667847,
0.2176913321018219,
0.3457125425338745,
0.4796200096607208,
0.15022975206375122,
0.1133512482047081,
0.1909075677394867,
0.6792362928390503,
0.3296077847480774,
0.007964663207530975,
0.21351252496242523,
0.3103105425834656,
0.0240740068256855,
0.197546124458313,
-0.21084992587566376,
0.3423006236553192,
-0.11590617150068283,
0.45432043075561523,
0.10699531435966492,
0.15114682912826538,
-0.2443637251853943,
-0.24342261254787445,
0.02432881109416485,
-0.2064080387353897,
-0.17803598940372467,
0.25939586758613586,
-0.22649116814136505,
0.020161205902695656,
-0.09770207852125168,
-0.36491379141807556,
-0.235571950674057,
-0.0543934591114521,
-0.03128254786133766,
0.2283366471529007,
0.011614445596933365,
0.17223303020000458,
-0.3531283140182495,
-0.1016591414809227,
-0.4612160325050354,
0.20466774702072144,
0.057742878794670105,
0.3017749488353729,
-0.019986895844340324,
-0.08469349145889282,
-0.1292436122894287,
0.12709137797355652,
0.5680524706840515,
-0.47282952070236206,
-0.22094768285751343,
-0.025382792577147484,
0.09025270491838455,
-0.09211981296539307,
-0.10572770982980728,
-0.2197122424840927,
-0.025454604998230934,
0.41992616653442383,
0.306242436170578,
-0.3639724850654602,
-0.27792584896087646,
0.268292635679245,
-0.1646316945552826,
-0.07220401614904404,
-0.14969608187675476,
-0.21267899870872498,
-0.1383240967988968,
-0.17088116705417633,
0.07758388668298721,
0.1296512633562088,
0.19336868822574615,
-0.13969528675079346,
0.16703510284423828,
-0.10889340937137604,
0.2603107690811157,
0.18591780960559845,
0.05234595760703087,
-0.027581224218010902,
0.19997946918010712,
0.17190316319465637,
0.05351273715496063,
-0.10656832903623581,
-0.23571926355361938,
0.12169591337442398,
-0.03250064328312874,
0.07200084626674652,
0.29760995507240295,
0.03904136270284653,
0.6938974857330322,
0.04260319098830223,
0.36705532670021057,
0.22503095865249634,
-0.06475987285375595,
0.08746987581253052,
-0.21818426251411438,
0.1336083561182022,
0.22997237741947174,
0.2078850418329239,
-0.1668774038553238,
-0.2211143672466278,
0.5431400537490845,
0.29854604601860046,
-0.009611266665160656,
0.33156725764274597,
-0.5390052795410156,
-0.251165509223938,
0.29675689339637756,
0.04016410931944847,
0.6300413012504578,
-0.007101157214492559,
0.29389330744743347,
-0.03298863396048546,
-0.33714473247528076,
0.5710725784301758,
-0.3307279646396637,
0.191995307803154,
-0.1401997208595276,
-0.24169863760471344,
-0.002791389124467969,
-0.08570393174886703,
-0.07936577498912811,
0.2763814330101013,
-0.3371972143650055,
0.3691793382167816,
0.4814932942390442,
-0.24805763363838196,
-0.10458723455667496,
0.5050843954086304,
-0.056458260864019394,
-0.37266093492507935,
-0.11116693913936615,
0.061154939234256744,
-0.2758670449256897,
0.09509270638227463,
-0.11868711560964584,
-0.30080288648605347,
0.2708374857902527,
0.12162364274263382,
-0.24231107532978058,
0.164385586977005,
-0.05043228715658188,
0.18452277779579163,
0.25303879380226135,
0.00870249979197979,
0.2706407308578491,
-0.16248050332069397,
-0.08966303616762161,
-0.11695297807455063,
-0.07923789322376251,
0.11518190801143646,
-0.1497710645198822,
0.01284435298293829,
0.11990507692098618,
-0.202458918094635,
0.4892711043357849,
-0.009573045186698437,
-0.13599494099617004,
-0.21550890803337097,
0.3113108277320862,
-0.38764169812202454,
-0.17851822078227997,
0.10875000059604645,
0.18113873898983002,
0.22955568134784698,
-0.359727680683136,
0.5780019164085388,
0.13180913031101227,
0.027301214635372162,
0.030786989256739616,
0.14182808995246887,
-0.2512458562850952,
0.5130013227462769,
-0.2759883999824524,
-0.03809579461812973,
0.04208805784583092,
0.007354210130870342,
-0.08804525434970856,
-0.3510379195213318,
-0.03188444301486015,
0.28335297107696533,
0.12923090159893036,
0.021556586027145386,
0.06551896780729294,
0.17462125420570374,
-0.07396002858877182,
-0.06540019065141678,
-0.13226741552352905,
-0.31944820284843445,
0.15650328993797302,
0.07593587040901184,
0.19611194729804993,
0.1613198071718216,
-0.07628854364156723,
-0.21275363862514496,
-0.21801719069480896,
0.5112918615341187,
0.021172093227505684,
0.2578117847442627,
-0.18163937330245972,
0.3082199692726135,
0.38870692253112793,
0.5697476863861084,
-0.25568681955337524,
0.11726149171590805,
0.055238187313079834,
0.06974653899669647,
0.46103325486183167,
-0.2023734152317047,
0.04363463446497917,
0.28928154706954956,
-0.14841964840888977,
0.06235450878739357,
-0.3408696949481964,
-0.1428142488002777,
-0.2346571832895279,
0.098805271089077,
0.15117929875850677,
-0.01935713179409504,
0.009457666426897049,
-0.06798819452524185,
-0.0965590700507164,
-0.11638068407773972,
0.013010605238378048,
-0.43350884318351746,
-0.06818906217813492,
0.11059043556451797,
-0.037180617451667786,
-0.04546308517456055,
0.07459424436092377,
0.2376604527235031,
0.0012456406839191914,
-0.020070616155862808,
0.3473863899707794,
0.1378142237663269,
0.13269732892513275,
-0.1667906790971756,
-0.276227742433548,
-0.012614493258297443,
0.2735835909843445,
0.16343896090984344,
-0.07122235745191574,
0.10352052748203278,
-0.2437407225370407,
-0.08736572414636612,
0.2628617286682129,
0.20636162161827087,
0.07711697369813919,
-0.17260317504405975,
0.15144705772399902,
0.11271830648183823,
-0.07894773036241531,
-0.0010418589226901531,
0.20892126858234406,
0.07174279540777206,
0.08645100891590118,
0.17023278772830963,
0.1579517424106598,
0.42820557951927185,
-0.2442435771226883,
-0.00755491154268384,
0.10386905074119568,
-0.34369781613349915,
0.1442802995443344,
-0.07468456029891968,
-0.016898751258850098,
-0.05834364518523216,
0.11643948405981064,
-0.0426749587059021,
0.22477802634239197,
-0.28217121958732605,
0.2502267062664032,
0.30582115054130554,
0.00996896531432867,
-0.04212402179837227,
0.20314408838748932,
0.001802923739887774,
-0.22454103827476501,
0.33291471004486084,
0.08520065248012543,
0.38552311062812805,
0.0489545539021492,
0.8560096025466919,
-0.2478874772787094,
-0.4657873511314392,
0.03729671612381935,
0.48590123653411865,
0.04150944948196411,
-0.2708476185798645,
0.1433795690536499,
0.0959801897406578,
-0.411872535943985,
0.1614198088645935,
0.07498472183942795,
-0.18442420661449432,
0.6622328758239746,
-0.05848821997642517,
0.16207750141620636,
-0.1906120926141739,
-0.17011377215385437,
0.36753880977630615,
0.14315102994441986,
-0.13632845878601074,
0.07419078052043915,
0.13879097998142242,
-0.10969728231430054,
-0.14287304878234863,
0.520385205745697,
0.25319501757621765,
0.03317784145474434,
-0.43458354473114014,
-0.02207270823419094,
0.16021227836608887,
0.16314105689525604,
-0.10989008098840714,
0.12353606522083282,
0.40921059250831604,
-0.17104248702526093,
0.26817142963409424,
0.01345699094235897,
-0.06439194828271866,
-0.17000052332878113,
-0.0010192003101110458,
-0.4380500018596649,
-0.38811805844306946,
0.41963931918144226,
0.1148868203163147,
-0.051416296511888504,
0.019020548090338707,
0.24604016542434692,
-0.6877148747444153,
-0.2315691113471985,
0.3309122622013092,
-0.13534817099571228,
-0.10280837118625641,
-0.24208959937095642,
0.07230065017938614,
-0.015391076914966106,
0.6274802088737488,
0.29352232813835144,
0.3365947902202606,
-0.40877261757850647,
-0.15738660097122192,
-0.5566293597221375,
-0.14260350167751312,
0.10983331501483917,
-0.1562364101409912,
-0.2828679084777832,
0.23817521333694458,
-0.09585937112569809,
0.23567338287830353,
-0.21898718178272247,
0.133131742477417,
0.21304857730865479,
0.09838509559631348,
-0.44912129640579224,
0.1221681758761406,
0.10001190751791,
0.04428117722272873,
0.2792526185512543,
-0.09820915758609772,
-0.171553835272789,
0.05372096598148346,
-0.10322351008653641,
-0.008148927241563797,
-0.01687893643975258,
0.24552445113658905,
0.09913671761751175,
0.12277556955814362,
0.06725380569696426,
0.5235671997070312,
-0.03352413326501846,
-0.21915000677108765,
0.005621878430247307,
-0.04023395851254463,
-0.4122084975242615,
-0.13063228130340576,
-0.07771628350019455,
0.24383783340454102,
-0.34682705998420715,
0.2638210356235504,
-0.040281280875205994,
-0.12499412894248962,
0.12921594083309174,
0.03196447715163231,
-0.12255149334669113,
-0.058099210262298584,
0.057855620980262756,
0.21735675632953644,
0.21858011186122894,
0.7121253609657288,
0.03826141729950905,
0.10666968673467636,
-0.028915775939822197,
-0.024187590926885605,
0.06974607706069946,
-0.081906758248806,
-0.22436873614788055,
-0.2049364447593689,
0.025506746023893356,
0.06479831039905548,
0.07541260868310928,
-0.6441549062728882,
-0.32651790976524353,
0.011607500724494457,
0.004460558760911226,
0.047522660344839096,
0.7026140093803406,
0.11499752849340439,
-0.14029550552368164,
-0.13398154079914093,
-0.2580881714820862,
-0.000519195687957108,
-0.3298356533050537,
0.20005030930042267,
-0.30358055233955383
] |
https://github.com/huggingface/datasets/issues/217 | Multi-task dataset mixing | Are there any references for people doing different batch sizes per task in the literature? I've only seen constant batch sizes with differing numbers of batches for each task which seems sufficient to prevent the impact of large datasets (Read 3.5.3 of the [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) for example).
| It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
| 47 | Multi-task dataset mixing
It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
Are there any references for people doing different batch sizes per task in the literature? I've only seen constant batch sizes with differing numbers of batches for each task which seems sufficient to prevent the impact of large datasets (Read 3.5.3 of the [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) for example).
| [
-0.06431491672992706,
-0.4659213423728943,
-0.08466382324695587,
-0.031063778325915337,
-0.2937632203102112,
0.01426788978278637,
0.2748717665672302,
-0.0015312168980017304,
0.3273965120315552,
-0.08819633722305298,
-0.1483938992023468,
0.10962097346782684,
-0.16663536429405212,
0.4398266077041626,
0.34445920586586,
-0.36647844314575195,
0.03876933082938194,
-0.2969399690628052,
-0.2708534598350525,
0.38539090752601624,
0.03808370605111122,
0.0419313870370388,
-0.13354307413101196,
0.08822571486234665,
-0.2808082401752472,
-0.2636704742908478,
-0.38970741629600525,
0.034435611218214035,
0.13997460901737213,
0.05134955793619156,
0.23408909142017365,
0.3075520098209381,
0.04861658811569214,
0.27919286489486694,
-0.000116871771751903,
-0.08377692848443985,
0.23081009089946747,
-0.01913638599216938,
0.11680792272090912,
-0.0018161081243306398,
0.15380090475082397,
-0.4783225953578949,
0.005465093534439802,
-0.11083633452653885,
0.2739710509777069,
0.1568039059638977,
0.25918152928352356,
0.1064637303352356,
0.28866496682167053,
-0.3447948694229126,
0.09772246330976486,
0.2746801972389221,
-0.21083910763263702,
0.22634705901145935,
-0.11846113204956055,
-0.014193056151270866,
0.07735450565814972,
0.2606102526187897,
0.7055597901344299,
-0.5410467982292175,
-0.07276517897844315,
0.07944506406784058,
0.04223455488681793,
0.011969735845923424,
0.10907944291830063,
-0.17149685323238373,
-0.2628781199455261,
-0.2975197434425354,
-0.3295663595199585,
0.22085711359977722,
-0.08587867021560669,
-0.09882605820894241,
-0.2601613998413086,
-0.6264219284057617,
-0.036424487829208374,
0.031553253531455994,
-0.3546115458011627,
0.16949862241744995,
-0.2045319676399231,
-0.12913109362125397,
-0.23460255563259125,
-0.10024083405733109,
-0.026420725509524345,
0.07539902627468109,
0.3474642038345337,
0.5395688414573669,
0.04197026789188385,
0.12721961736679077,
0.3926808834075928,
-0.03826446458697319,
-0.08897168189287186,
-0.273771733045578,
0.25671231746673584,
0.13433721661567688,
-0.39920032024383545,
-0.29389309883117676,
0.1546253114938736,
-0.26450952887535095,
0.3152869939804077,
0.08219613879919052,
0.0817464217543602,
0.05161236971616745,
-0.1418328881263733,
0.19767364859580994,
0.4014687240123749,
0.12532833218574524,
-0.09977984428405762,
-0.11220309138298035,
0.04722466692328453,
-0.16153109073638916,
0.21224670112133026,
0.18241579830646515,
0.1426582783460617,
-0.1386050134897232,
-0.5396949052810669,
-0.1671905815601349,
-0.27625399827957153,
0.14143963158130646,
-0.18073846399784088,
-0.5744894742965698,
-0.020447449758648872,
-0.15083526074886322,
0.020509451627731323,
-0.09436854720115662,
-0.272125244140625,
0.09609336405992508,
-0.11833248287439346,
0.26906853914260864,
-0.16005472838878632,
0.07366324961185455,
-0.0505211241543293,
0.04711344093084335,
-0.47076377272605896,
-0.1046871468424797,
0.2876485586166382,
0.17828789353370667,
0.09426690638065338,
0.18709887564182281,
-0.03195863217115402,
0.08593231439590454,
0.30259817838668823,
-0.06191779673099518,
-0.05103762447834015,
0.03935444727540016,
0.24605825543403625,
-0.26802653074264526,
-0.08793450146913528,
0.24862846732139587,
-0.37916016578674316,
-0.0590340830385685,
-0.23170852661132812,
-0.15932072699069977,
0.15850946307182312,
-0.002280393149703741,
-0.14439576864242554,
-0.2504311800003052,
-0.5782615542411804,
0.673693060874939,
0.062366727739572525,
-0.05668538436293602,
-0.16031385958194733,
0.22042030096054077,
-0.1436537653207779,
-0.18698100745677948,
0.0599549300968647,
0.018209684640169144,
-0.03283495455980301,
-0.33299535512924194,
0.036641210317611694,
-0.03524084389209747,
0.0035879071801900864,
0.4364960193634033,
-0.18516051769256592,
0.2895740568637848,
0.08100887387990952,
0.1218290776014328,
0.2664521634578705,
-0.4424833357334137,
-0.01151538360863924,
0.4173333942890167,
0.050326310098171234,
0.33077841997146606,
0.12340635061264038,
0.23189163208007812,
0.04421810805797577,
-0.20737804472446442,
0.23588965833187103,
0.9741359949111938,
-0.37452736496925354,
0.09668035060167313,
-0.05804971978068352,
-0.4658018946647644,
0.4411916136741638,
0.22587604820728302,
0.08976082503795624,
-0.2925754487514496,
-0.0739048421382904,
-0.054094098508358,
0.05737728998064995,
0.0896449089050293,
0.0959465354681015,
0.047745298594236374,
-0.4209628701210022,
0.0964869037270546,
-0.1834496110677719,
-0.050520122051239014,
-0.4460892379283905,
-0.010564140975475311,
-0.08277671039104462,
0.1956140249967575,
0.37465623021125793,
-0.09083902835845947,
0.33623936772346497,
-0.32630717754364014,
-0.09256357699632645,
-0.34133195877075195,
0.06611599028110504,
-0.1217469722032547,
0.09767425060272217,
-0.3077353239059448,
0.0007396616856567562,
0.3354279100894928,
0.09459530562162399,
-0.10449402779340744,
-0.4976731538772583,
0.17593234777450562,
-0.036460816860198975,
-0.008629961870610714,
0.05814821273088455,
0.540845513343811,
-0.19120092689990997,
-0.08414289355278015,
0.10430680960416794,
0.2897184193134308,
-0.2685346007347107,
0.23165194690227509,
0.3110857903957367,
0.26073771715164185,
0.21135883033275604,
0.11839230358600616,
0.20557305216789246,
-0.10977327078580856,
-0.0994366854429245,
-0.22492973506450653,
-0.10347114503383636,
0.4607519805431366,
-0.13459277153015137,
0.5010110139846802,
-0.029697518795728683,
-0.07168645411729813,
-0.18867127597332,
-0.01730378344655037,
-0.1613263040781021,
0.45697250962257385,
0.3395255506038666,
-0.17075695097446442,
0.3268982470035553,
-0.09833323955535889,
-0.3560431897640228,
0.05383677035570145,
0.022897696122527122,
0.05386385694146156,
0.0811348408460617,
-0.008003470487892628,
-0.03082766942679882,
-0.29537686705589294,
-0.1262146532535553,
0.36534640192985535,
0.6546177268028259,
0.22161811590194702,
0.21824181079864502,
-0.061494287103414536,
-0.22549648582935333,
-0.15221549570560455,
-0.025874748826026917,
0.20214460790157318,
0.006640059873461723,
0.16049796342849731,
0.02629782445728779,
-0.0057368651032447815,
0.08471197634935379,
-0.10533840954303741,
0.11840701103210449,
-0.225221648812294,
-0.08519236743450165,
0.005404846277087927,
-0.22219181060791016,
-0.6311869025230408,
-0.30558815598487854,
0.01507929153740406,
-0.30497074127197266,
-0.2313881814479828,
0.03909904509782791,
0.07374676316976547,
-0.11424049735069275,
0.08188250660896301,
0.2115861177444458,
0.6373739838600159,
-0.43466493487358093,
-0.10998228937387466,
-0.03147687390446663,
-0.24741187691688538,
-0.14098462462425232,
0.06759561598300934,
0.4684337377548218,
0.20970197021961212,
0.46051180362701416,
0.3219377398490906,
-0.10924175381660461,
0.11420053988695145,
-0.32258516550064087,
0.02633778564631939,
-0.200529545545578,
0.24238120019435883,
0.04370439052581787,
-0.1586247980594635,
0.176504984498024,
-0.3366839587688446,
-0.0731433853507042,
-0.061084896326065063,
-0.05285284295678139,
-0.1735837310552597,
-0.0702570304274559,
0.05648845434188843,
-0.1488361805677414,
-0.10039743036031723,
-0.6727864742279053,
-0.396466463804245,
0.3388642370700836,
-0.2569650411605835,
0.06550893932580948,
0.025421498343348503,
-0.19426141679286957,
0.07539017498493195,
-0.14416226744651794,
-0.01773693598806858,
-0.0749676451086998,
-0.12288586050271988,
-0.029145220294594765,
-0.4028762876987457,
-0.15951478481292725,
-0.373208224773407,
-0.021674521267414093,
0.19834591448307037,
0.017058100551366806,
-0.06768307089805603,
-0.09868616610765457,
0.029117537662386894,
-0.17894546687602997,
0.1095876693725586,
0.3481382429599762,
0.08324112743139267,
-0.39999639987945557,
0.1514003425836563,
-0.05563649907708168,
-0.24908781051635742,
0.14666183292865753,
0.2859278619289398,
0.4913569986820221,
0.2199200689792633,
0.008942006155848503,
0.15517908334732056,
0.7662393450737,
0.273021399974823,
0.023623326793313026,
0.098593570291996,
0.28743666410446167,
0.025504659861326218,
0.12757132947444916,
-0.1188780665397644,
0.3374466598033905,
-0.17567260563373566,
0.43661925196647644,
0.06794430315494537,
0.2040228545665741,
-0.16058248281478882,
-0.23380205035209656,
-0.03952755406498909,
-0.3257651925086975,
-0.17143787443637848,
0.25072619318962097,
-0.2517659664154053,
0.07811910659074783,
-0.14358103275299072,
-0.4316737949848175,
-0.29271504282951355,
-0.01696156896650791,
-0.06760840117931366,
0.30172327160835266,
-0.08189809322357178,
0.20029865205287933,
-0.3350657820701599,
-0.16427893936634064,
-0.38935917615890503,
0.1740121841430664,
-0.0023740497417747974,
0.29987502098083496,
-0.037796683609485626,
-0.0142647260800004,
-0.07898116856813431,
0.1751031130552292,
0.5862995386123657,
-0.4357357621192932,
-0.14293192327022552,
-0.014257918111979961,
0.1116928979754448,
-0.14096753299236298,
-0.19628851115703583,
-0.2515060603618622,
0.0530729703605175,
0.5074827671051025,
0.37952783703804016,
-0.36115238070487976,
-0.316876620054245,
0.1973589062690735,
-0.19273711740970612,
-0.09322429448366165,
-0.2261342853307724,
-0.21406060457229614,
-0.16825507581233978,
-0.07910788804292679,
0.14117662608623505,
0.13951686024665833,
0.15919196605682373,
-0.23411113023757935,
0.14947563409805298,
-0.07838361710309982,
0.2822118401527405,
0.1764063984155655,
-0.018855005502700806,
-0.07879506796598434,
0.24801956117153168,
0.1028497964143753,
0.01776900142431259,
-0.08682423830032349,
-0.1627187281847,
0.03729351982474327,
-0.13130152225494385,
0.1557685136795044,
0.2967382073402405,
0.013812391087412834,
0.6570737957954407,
0.10724955052137375,
0.4018983840942383,
0.20059800148010254,
-0.11568454653024673,
0.05698458105325699,
-0.19889222085475922,
0.12703095376491547,
0.23611514270305634,
0.2462623417377472,
-0.2228366881608963,
-0.24729792773723602,
0.5878694653511047,
0.3816869258880615,
-0.05445464327931404,
0.4050363600254059,
-0.6244825124740601,
-0.2605518400669098,
0.23180058598518372,
0.024832887575030327,
0.5990932583808899,
-0.01311671081930399,
0.29962193965911865,
-0.07943973690271378,
-0.35769352316856384,
0.4593539535999298,
-0.31158798933029175,
0.16311481595039368,
-0.07899990677833557,
-0.08968014270067215,
0.0702202245593071,
-0.13893495500087738,
0.018397552892565727,
0.29449304938316345,
-0.2356727421283722,
0.37945204973220825,
0.412104994058609,
-0.2506571114063263,
-0.1553010493516922,
0.4758177697658539,
-0.03475132957100868,
-0.3831043243408203,
0.05561250075697899,
0.02473701722919941,
-0.2695634067058563,
0.1704661250114441,
-0.21481584012508392,
-0.20060227811336517,
0.2319066822528839,
0.1601426899433136,
-0.3523414731025696,
0.02330562099814415,
-0.01612582989037037,
0.22780856490135193,
0.27945661544799805,
-0.04916521906852722,
0.2548290491104126,
-0.1672864705324173,
-0.10953901708126068,
-0.12556132674217224,
-0.03871764987707138,
0.10054410248994827,
-0.11218155920505524,
0.03601552173495293,
0.0384792722761631,
-0.1712268441915512,
0.439947247505188,
-0.054046664386987686,
-0.08606473356485367,
-0.2332592010498047,
0.22317679226398468,
-0.2976767122745514,
-0.29632464051246643,
0.13378073275089264,
0.1284630447626114,
0.1511077582836151,
-0.3166044056415558,
0.5542105436325073,
0.1613525152206421,
0.09315460175275803,
0.0071568782441318035,
0.163462832570076,
-0.12557047605514526,
0.6486726403236389,
-0.32968729734420776,
-0.0107022849842906,
0.03141966462135315,
-0.0907798558473587,
0.006326408125460148,
-0.4751656949520111,
-0.0592220276594162,
0.29011309146881104,
0.11815181374549866,
0.045331601053476334,
0.09262403100728989,
0.09316834062337875,
0.02672489918768406,
-0.01084180362522602,
-0.10102397948503494,
-0.25960010290145874,
0.17278294265270233,
0.16765469312667847,
0.1894170194864273,
0.1972038298845291,
-0.0561286024749279,
-0.27054363489151,
-0.10723770409822464,
0.4969044327735901,
-0.01926986128091812,
0.21876248717308044,
-0.11857295036315918,
0.3374299705028534,
0.49458253383636475,
0.5996086597442627,
-0.1953844279050827,
0.09189900755882263,
0.15111735463142395,
0.09730435907840729,
0.41306930780410767,
-0.0851142629981041,
0.015879785642027855,
0.35309088230133057,
-0.20409686863422394,
0.03782385587692261,
-0.29770344495773315,
-0.11826516687870026,
-0.19182099401950836,
0.11325038969516754,
0.12125448137521744,
0.046959806233644485,
0.028699617832899094,
-0.14802177250385284,
0.009298484772443771,
-0.051961302757263184,
0.061060987412929535,
-0.2568275034427643,
-0.07784228771924973,
0.1117902398109436,
0.00030386584694497287,
0.08506185561418533,
0.14502829313278198,
0.3739888668060303,
0.04396049305796623,
-0.06393001228570938,
0.3479340374469757,
0.10780206322669983,
0.1781654953956604,
-0.15824896097183228,
-0.2107112854719162,
-0.05424986034631729,
0.29739826917648315,
0.1429697871208191,
-0.17916187644004822,
0.08633306622505188,
-0.18172810971736908,
-0.12257339060306549,
0.14351697266101837,
0.2863253355026245,
0.08999735862016678,
-0.11031531542539597,
0.2158234864473343,
0.06141481176018715,
0.0060815452598035336,
0.0023055581841617823,
0.17192623019218445,
0.10082137584686279,
-0.0049418434500694275,
0.1974211037158966,
0.17235055565834045,
0.4390959143638611,
-0.2788703441619873,
0.029636230319738388,
0.09111060202121735,
-0.34259939193725586,
0.09730201959609985,
-0.13354741036891937,
-0.0017445755656808615,
-0.02151177078485489,
0.2189326286315918,
0.0036819379311054945,
0.1451462209224701,
-0.31865230202674866,
0.3492981195449829,
0.28361237049102783,
0.04186604544520378,
-0.03126363083720207,
0.1697317212820053,
-0.1356530487537384,
-0.2388625293970108,
0.2818865180015564,
-0.007455060258507729,
0.29146838188171387,
0.006257666274905205,
0.8371670842170715,
-0.2760741412639618,
-0.40760013461112976,
0.11187463253736496,
0.4058804512023926,
-0.00841414462774992,
-0.24195142090320587,
0.05891656130552292,
0.13566075265407562,
-0.21899603307247162,
0.18768532574176788,
0.005945628974586725,
-0.15572088956832886,
0.6309080123901367,
-0.086859330534935,
0.15201330184936523,
-0.1394614577293396,
-0.18477801978588104,
0.32048988342285156,
0.06872197240591049,
-0.04573463648557663,
0.10238125920295715,
-0.0006044308538548648,
-0.08211388438940048,
-0.1377706676721573,
0.5545238256454468,
0.27132299542427063,
0.05069422349333763,
-0.394832968711853,
-0.05802132934331894,
0.12167723476886749,
0.18451663851737976,
-0.0989895910024643,
0.12961940467357635,
0.4572375416755676,
-0.21894396841526031,
0.2153020203113556,
-0.018487654626369476,
-0.033718422055244446,
-0.06840454041957855,
0.032773055136203766,
-0.4699130654335022,
-0.35822156071662903,
0.4419863522052765,
0.03924256190657616,
-0.15338733792304993,
0.09869414567947388,
0.3518233597278595,
-0.6634212732315063,
-0.22207628190517426,
0.3930751085281372,
-0.15513229370117188,
-0.11853025108575821,
-0.19786478579044342,
0.05703793093562126,
0.12376904487609863,
0.6506406664848328,
0.3044011890888214,
0.31558525562286377,
-0.33722448348999023,
-0.15078012645244598,
-0.5069012641906738,
-0.2103443294763565,
-0.015344860963523388,
-0.048915062099695206,
-0.31534773111343384,
0.21218343079090118,
-0.1383204162120819,
0.1627189666032791,
-0.1201685220003128,
0.09354425221681595,
0.22755862772464752,
0.18092086911201477,
-0.4607583284378052,
0.12454617023468018,
0.09379228204488754,
0.10597740858793259,
0.2719219923019409,
-0.08295954763889313,
-0.15479229390621185,
0.08311763405799866,
-0.13035956025123596,
-0.06441937386989594,
-0.005010298918932676,
0.370147705078125,
0.13319042325019836,
0.08900167793035507,
0.067532978951931,
0.5516714453697205,
0.08134454488754272,
-0.16196219623088837,
-0.0657716616988182,
0.03485586494207382,
-0.35132086277008057,
-0.13600271940231323,
-0.08042512089014053,
0.11832867562770844,
-0.4727514684200287,
0.30819985270500183,
0.0680919662117958,
-0.15013915300369263,
0.05180405080318451,
0.01679895631968975,
-0.035492897033691406,
-0.10961998254060745,
0.10881639271974564,
0.15477830171585083,
0.342180460691452,
0.7173800468444824,
0.013488725759088993,
0.051124218851327896,
-0.11207658797502518,
0.016379347071051598,
-0.0414472371339798,
-0.1004003956913948,
-0.2099619209766388,
-0.2421920746564865,
0.09355363994836807,
-0.043548889458179474,
0.12603606283664703,
-0.5950589776039124,
-0.3449791371822357,
0.0035270643420517445,
0.056977950036525726,
0.09147119522094727,
0.6922089457511902,
0.08021263778209686,
-0.1998313069343567,
-0.12055385857820511,
-0.3673875629901886,
0.05131477117538452,
-0.2942933738231659,
0.09561274200677872,
-0.31406664848327637
] |
https://github.com/huggingface/datasets/issues/217 | Multi-task dataset mixing | Hi,
regarding building T5 dataset , I think we can use datasets https://github.com/huggingface/datasets and then need something similar to tf.data.experimental.sample_from_datasets, do you know if similar functionality exist in pytorch? Which can sample multiple datasets with the given rates. thanks. | It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
| 39 | Multi-task dataset mixing
It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sample from tasks proportionally to their dataset size
- **Equal mixing** - sample uniformly from each task
- **Temperature-scaled mixing** - The generalized approach used by multilingual BERT which uses a temperature T, where the mixing rate of each task is raised to the power 1/T and renormalized. When T=1 this is equivalent to equal mixing, and becomes closer to equal mixing with increasing T.
Following this discussion https://github.com/huggingface/transformers/issues/4340 in [transformers](https://github.com/huggingface/transformers), @enzoampil suggested that the `nlp` library might be a better place for this functionality.
Some method for combining datasets could be implemented ,e.g.
```
dataset = nlp.load_multitask(['squad','imdb','cnn_dm'], temperature=2.0, ...)
```
We would need a few additions:
- Method of identifying the tasks - how can we support adding a string to each task as an identifier: e.g. 'summarisation: '?
- Method of combining the metrics - a standard approach is to use the specific metric for each task and add them together for a combined score.
It would be great to support common use cases such as pretraining on the GLUE benchmark before fine-tuning on each GLUE task in turn.
I'm willing to write bits/most of this I just need some guidance on the interface and other library details so I can integrate it properly.
Hi,
regarding building T5 dataset , I think we can use datasets https://github.com/huggingface/datasets and then need something similar to tf.data.experimental.sample_from_datasets, do you know if similar functionality exist in pytorch? Which can sample multiple datasets with the given rates. thanks. | [
-0.03330687806010246,
-0.5136847496032715,
-0.02777979150414467,
0.06664847582578659,
-0.25032755732536316,
0.04262993857264519,
0.1753961443901062,
0.060455743223428726,
0.20672675967216492,
-0.12869608402252197,
-0.2596317529678345,
0.1723335087299347,
-0.16145756840705872,
0.5526631474494934,
0.36890414357185364,
-0.42828017473220825,
-0.033644117414951324,
-0.22553163766860962,
-0.3311310112476349,
0.3586278557777405,
0.16255323588848114,
0.12674058973789215,
-0.13107413053512573,
0.011625542305409908,
-0.3748578727245331,
-0.0523345023393631,
-0.3290127217769623,
-0.014158261008560658,
0.07128273695707321,
0.15654438734054565,
0.140565887093544,
0.34378740191459656,
-0.04573146253824234,
0.3042806088924408,
-0.00012068865908076987,
-0.0008576058899052441,
0.06160637363791466,
-0.12618504464626312,
0.11212540417909622,
-0.03864677995443344,
0.28744903206825256,
-0.3399033844470978,
0.053131673485040665,
-0.1707758903503418,
0.13239850103855133,
0.1373211145401001,
0.2363462746143341,
0.07320497930049896,
0.4259682595729828,
-0.22620785236358643,
0.04279346019029617,
0.4667559266090393,
-0.28901147842407227,
0.29696983098983765,
0.003143023233860731,
-0.0374879464507103,
-0.03362719714641571,
0.2170954793691635,
0.7237201929092407,
-0.40428465604782104,
0.06341978907585144,
0.040230266749858856,
-0.013891276903450489,
-0.01136762648820877,
0.21762850880622864,
-0.007717551197856665,
-0.3298623859882355,
-0.29819416999816895,
-0.3776233494281769,
0.24901743233203888,
0.00380880874581635,
-0.18128299713134766,
-0.22731955349445343,
-0.5786264538764954,
-0.05229785293340683,
-0.008305443450808525,
-0.3058771789073944,
0.028880156576633453,
-0.2804424464702606,
-0.07985930144786835,
-0.1518014520406723,
-0.136544331908226,
-0.11704979836940765,
0.18049681186676025,
0.37516215443611145,
0.4616799056529999,
0.06983580440282822,
0.17935635149478912,
0.2523779571056366,
0.13546842336654663,
-0.05440926551818848,
-0.30060818791389465,
0.2920225262641907,
0.18487867712974548,
-0.35682037472724915,
-0.34360867738723755,
0.07528078556060791,
-0.3887386918067932,
0.3567279875278473,
0.12050828337669373,
0.16586177051067352,
0.010490135289728642,
-0.14146921038627625,
0.11952217668294907,
0.39286863803863525,
-0.09637804329395294,
-0.16700118780136108,
-0.11347788572311401,
-0.025100121274590492,
-0.25130605697631836,
0.07018446922302246,
0.09315354377031326,
0.1699235439300537,
-0.10998431593179703,
-0.36253824830055237,
-0.1245318055152893,
-0.13821248710155487,
0.09857913106679916,
-0.03294748440384865,
-0.5224343538284302,
-0.21595120429992676,
-0.18340986967086792,
-0.03497113287448883,
-0.08714708685874939,
-0.2840885519981384,
0.04984131082892418,
-0.0025755579117685556,
0.21522292494773865,
-0.2706935703754425,
0.04158295691013336,
-0.04056704789400101,
0.027274757623672485,
-0.374625027179718,
-0.04783232510089874,
0.2949216365814209,
0.0531737245619297,
0.1146206483244896,
0.16285595297813416,
0.19290141761302948,
0.12154766917228699,
0.44899511337280273,
-0.02812281996011734,
-0.010044615715742111,
-0.023936940357089043,
0.14568492770195007,
-0.21127949655056,
-0.01912006177008152,
0.33989474177360535,
-0.3035697340965271,
-0.06994905322790146,
-0.1554129272699356,
-0.19051949679851532,
0.09611643850803375,
-0.050944313406944275,
-0.20126138627529144,
-0.3853227496147156,
-0.4683857560157776,
0.6835909485816956,
0.06396520882844925,
-0.09594032913446426,
-0.20830343663692474,
0.20528550446033478,
-0.210993692278862,
-0.08647233992815018,
0.16142477095127106,
0.06823378056287766,
-0.013202696107327938,
-0.37244001030921936,
0.04198368266224861,
-0.100539430975914,
0.008564785122871399,
0.3029562830924988,
-0.1540871262550354,
0.22199887037277222,
0.08476738631725311,
0.1121397614479065,
0.33994558453559875,
-0.47918134927749634,
-0.009698819369077682,
0.35266879200935364,
-0.042694538831710815,
0.2965773344039917,
0.14705269038677216,
0.27371546626091003,
-0.0726066529750824,
-0.15075424313545227,
0.1296711415052414,
0.9934563040733337,
-0.3805130124092102,
-0.01721472665667534,
-0.07959863543510437,
-0.3645017743110657,
0.4801669716835022,
0.3585851788520813,
0.19760873913764954,
-0.3657471239566803,
-0.18771888315677643,
-0.005162875633686781,
0.0852506160736084,
0.006785052828490734,
0.08330775052309036,
0.024007778614759445,
-0.23441942036151886,
0.10306442528963089,
-0.1965171843767166,
-0.2335735410451889,
-0.4084457457065582,
0.04143492132425308,
-0.05092319846153259,
0.37805965542793274,
0.3517454266548157,
-0.05343768373131752,
0.2586524784564972,
-0.2782161831855774,
-0.12434320896863937,
-0.3101746141910553,
0.03456566855311394,
-0.023268690332770348,
0.0006009777425788343,
-0.26450562477111816,
-0.09321241080760956,
0.26055583357810974,
0.03617459908127785,
-0.09498095512390137,
-0.43100589513778687,
0.42751798033714294,
0.02262916788458824,
-0.03463868051767349,
-0.03160082921385765,
0.531765878200531,
-0.246052086353302,
-0.1196654811501503,
0.10470885783433914,
0.216263085603714,
-0.20524661242961884,
0.1573849618434906,
0.22795172035694122,
0.3987586498260498,
0.23988543450832367,
-0.08323944360017776,
0.05731722339987755,
-0.051717862486839294,
-0.06435848027467728,
-0.21896986663341522,
-0.004287502728402615,
0.40685948729515076,
-0.2748054563999176,
0.40373408794403076,
-0.00748521089553833,
-0.02760281041264534,
-0.22626423835754395,
0.010464388877153397,
-0.12387295812368393,
0.42509186267852783,
0.34055131673812866,
-0.24968090653419495,
0.31807172298431396,
-0.1349046528339386,
-0.34771785140037537,
0.23371106386184692,
0.1268346905708313,
0.019251983612775803,
0.00021442289289552718,
-0.04031013324856758,
0.015348880551755428,
-0.2949434816837311,
-0.1368178129196167,
0.3106767535209656,
0.6342356204986572,
0.19913384318351746,
0.1362776756286621,
-0.06178681179881096,
-0.18401069939136505,
-0.06175155192613602,
0.07712726294994354,
0.1738758087158203,
-0.07647119462490082,
0.21138271689414978,
-0.013370044529438019,
0.10678864270448685,
0.04169214516878128,
-0.1683126837015152,
0.25196734070777893,
-0.17216432094573975,
-0.16441860795021057,
0.0485866479575634,
-0.17014405131340027,
-0.6914840936660767,
-0.11619990319013596,
0.08361675590276718,
-0.29779040813446045,
-0.2556682527065277,
0.1518947035074234,
0.13057976961135864,
-0.09642641991376877,
0.17519380152225494,
0.16043347120285034,
0.4907016158103943,
-0.3046950101852417,
-0.3377006947994232,
-0.0032319684978574514,
-0.26299428939819336,
-0.07772134244441986,
0.04284597933292389,
0.43576303124427795,
0.41830989718437195,
0.4902554750442505,
0.19849003851413727,
-0.07153186947107315,
-0.04201938211917877,
-0.389818400144577,
0.15624652802944183,
-0.36184272170066833,
0.3624500632286072,
0.0631992518901825,
-0.12011870741844177,
0.07015486806631088,
-0.31865787506103516,
-0.014651964418590069,
-0.08830571174621582,
-0.1483505219221115,
-0.06262721121311188,
-0.09027503430843353,
0.07648718357086182,
-0.13062815368175507,
-0.16166265308856964,
-0.6078262329101562,
-0.3920362889766693,
0.19814468920230865,
-0.18852901458740234,
0.07596120238304138,
0.15446610748767853,
-0.284027636051178,
0.24272431433200836,
-0.12732841074466705,
0.08162108063697815,
-0.1322251856327057,
-0.14825496077537537,
-0.016929341480135918,
-0.4053654968738556,
-0.22016732394695282,
-0.4019717872142792,
-0.019565101712942123,
0.1676710844039917,
0.05245693773031235,
-0.09963679313659668,
-0.3910076916217804,
0.0016662951093167067,
0.027671873569488525,
0.05836048722267151,
0.25692451000213623,
0.11975838989019394,
-0.28187522292137146,
0.16816358268260956,
-0.14121799170970917,
-0.18737497925758362,
0.2724558115005493,
0.31200867891311646,
0.36048623919487,
0.17845961451530457,
-0.0021582236513495445,
0.12795639038085938,
0.9331133961677551,
0.2947480380535126,
0.0042396667413413525,
0.18400724232196808,
0.13027088344097137,
0.019158944487571716,
0.08279627561569214,
-0.19149218499660492,
0.2007608264684677,
-0.11971060931682587,
0.46759676933288574,
0.10902028530836105,
0.0879262387752533,
-0.016810104250907898,
-0.29273855686187744,
0.09595175087451935,
-0.3363732397556305,
-0.25714942812919617,
0.2042868286371231,
-0.3424229621887207,
0.1067073792219162,
-0.12691494822502136,
-0.4086243510246277,
-0.37843796610832214,
-0.07601001113653183,
-0.09919151663780212,
0.28520894050598145,
0.10526403039693832,
0.17052388191223145,
-0.38959306478500366,
-0.05017722770571709,
-0.4277198314666748,
0.14170709252357483,
0.12198333442211151,
0.2932141125202179,
-0.08066704124212265,
-0.0009063371689990163,
-0.06195133924484253,
0.1394704133272171,
0.5762670040130615,
-0.4894067049026489,
-0.09264380484819412,
0.1321844905614853,
-0.09517470002174377,
-0.16487520933151245,
-0.029359569773077965,
-0.3096030354499817,
0.05311211571097374,
0.34030410647392273,
0.341982364654541,
-0.48226892948150635,
-0.4431769847869873,
0.28553125262260437,
-0.07070673257112503,
-0.06597413122653961,
-0.1669311672449112,
-0.16285565495491028,
-0.23329295217990875,
-0.0486721433699131,
-0.08596506714820862,
0.35172224044799805,
0.24646803736686707,
-0.14004100859165192,
0.20227625966072083,
-0.03201494738459587,
0.2508802115917206,
0.20811648666858673,
-0.08595210313796997,
-0.07969840615987778,
0.1945643126964569,
0.25474750995635986,
0.034911271184682846,
-0.1054154708981514,
-0.3044125735759735,
0.1429988592863083,
-0.144871786236763,
-0.1175747886300087,
0.2817609906196594,
0.062038298696279526,
0.6452472805976868,
0.07200584560632706,
0.34857362508773804,
0.34181302785873413,
-0.1439763456583023,
0.0882175862789154,
-0.10354948043823242,
0.20663662254810333,
0.22724968194961548,
0.2593936622142792,
-0.11130714416503906,
-0.2703581154346466,
0.5457836389541626,
0.3118359446525574,
0.01879643276333809,
0.46680960059165955,
-0.5664708018302917,
-0.2669513523578644,
0.2087346911430359,
0.043550409376621246,
0.7242982983589172,
-0.06499584019184113,
0.41728365421295166,
0.14827431738376617,
-0.39617758989334106,
0.578062117099762,
-0.21578100323677063,
0.041985925287008286,
-0.1446857899427414,
-0.3205382525920868,
0.024116091430187225,
-0.13038329780101776,
-0.2033686637878418,
0.22062093019485474,
-0.22746001183986664,
0.2735259234905243,
0.3709966242313385,
-0.21724484860897064,
-0.03466913849115372,
0.4872440695762634,
-0.08320419490337372,
-0.3102729022502899,
-0.00783240795135498,
-0.005010046996176243,
-0.272060751914978,
0.15342167019844055,
-0.15633097290992737,
-0.2725106179714203,
0.1802784502506256,
0.22555729746818542,
-0.36308765411376953,
-0.03686443343758583,
-0.04107186198234558,
0.17539910972118378,
0.2798943519592285,
-0.06461749225854874,
0.22811925411224365,
-0.05899675190448761,
-0.04431503638625145,
-0.1844000667333603,
-0.13139386475086212,
0.11050407588481903,
-0.25417783856391907,
0.03881372511386871,
0.1308594048023224,
-0.08861711621284485,
0.47457239031791687,
-0.10375456511974335,
-0.14080624282360077,
-0.2136504054069519,
0.20078079402446747,
-0.4532198905944824,
-0.2897719442844391,
-0.028219075873494148,
0.04603682458400726,
0.14461523294448853,
-0.31200042366981506,
0.5833739638328552,
0.020649202167987823,
0.05548401176929474,
-0.032348014414310455,
0.20651693642139435,
-0.17367179691791534,
0.4253312647342682,
-0.35417526960372925,
-0.04309452697634697,
0.05548514798283577,
0.03814886510372162,
-0.049222011119127274,
-0.39530766010284424,
0.07578033208847046,
0.41568753123283386,
0.1633375585079193,
0.03143133595585823,
0.15434998273849487,
0.10619046539068222,
-0.18556229770183563,
0.11073166131973267,
-0.07481778413057327,
-0.19344598054885864,
0.12716969847679138,
0.36334651708602905,
0.16826575994491577,
0.12084873020648956,
-0.06369765847921371,
-0.23129519820213318,
-0.18166837096214294,
0.5214853286743164,
-0.014889610931277275,
0.22884058952331543,
-0.15737059712409973,
0.4722113609313965,
0.42730894684791565,
0.4741526246070862,
-0.19213159382343292,
0.11956674605607986,
0.1168096512556076,
0.08993370831012726,
0.5097171068191528,
-0.24610301852226257,
0.04991719126701355,
0.26596829295158386,
-0.21029984951019287,
-0.0020567206665873528,
-0.3129920959472656,
-0.08803512901067734,
-0.26381582021713257,
0.15460637211799622,
0.13262170553207397,
0.017633410170674324,
0.08132212609052658,
-0.10233187675476074,
-0.2083645462989807,
-0.10318611562252045,
0.13714393973350525,
-0.2286572903394699,
-0.0798501968383789,
0.21865060925483704,
0.0048442562110722065,
-0.01534509751945734,
-0.06830450147390366,
0.32523953914642334,
0.06706135720014572,
-0.003958745859563351,
0.34234219789505005,
0.15840305387973785,
0.16730649769306183,
-0.1784553825855255,
-0.16622091829776764,
-0.027407215908169746,
0.3266676068305969,
0.09608463943004608,
-0.0647890642285347,
0.058879103511571884,
-0.11979356408119202,
-0.18889710307121277,
0.18732775747776031,
0.2522055208683014,
0.03003431111574173,
-0.027138877660036087,
0.21464169025421143,
0.03223838284611702,
-0.03687275946140289,
0.001633219188079238,
0.13352461159229279,
0.005256569944322109,
0.08753132820129395,
0.1235709860920906,
0.009910017251968384,
0.48670899868011475,
-0.17142648994922638,
-0.040550194680690765,
0.0002593464741948992,
-0.2595714330673218,
0.1623915731906891,
0.03387802094221115,
-0.05490421503782272,
-0.01830553449690342,
0.07210487872362137,
-0.036743953824043274,
0.12226502597332001,
-0.3303038775920868,
0.3012453317642212,
0.2769792377948761,
-0.0871916264295578,
-0.015070867724716663,
0.23038533329963684,
-0.08356577157974243,
-0.19793176651000977,
0.3110864758491516,
0.07949718832969666,
0.4178656339645386,
-0.009903163649141788,
0.9180452823638916,
-0.30068135261535645,
-0.4647102355957031,
0.011499481275677681,
0.5212082266807556,
0.14811085164546967,
-0.25235921144485474,
0.06891921162605286,
0.0899171531200409,
-0.2977737784385681,
0.09773928672075272,
-0.009851986542344093,
-0.18153241276741028,
0.39744821190834045,
-0.010155903175473213,
0.19723694026470184,
-0.1302175521850586,
-0.1488279402256012,
0.3492196500301361,
0.17988631129264832,
-0.00638532405719161,
0.08323734253644943,
0.03972681239247322,
-0.10503066331148148,
-0.17178568243980408,
0.5120564103126526,
0.08268097788095474,
-0.0702284500002861,
-0.5144467949867249,
0.022896844893693924,
0.15500874817371368,
0.1871422976255417,
0.12166785448789597,
0.20464268326759338,
0.4158383011817932,
-0.19626379013061523,
0.36525967717170715,
-0.08221456408500671,
-0.03379237651824951,
-0.18054720759391785,
0.060573823750019073,
-0.428354412317276,
-0.464821994304657,
0.468281090259552,
0.05242592841386795,
-0.14958122372627258,
0.16356684267520905,
0.24570222198963165,
-0.6194172501564026,
-0.2717808783054352,
0.32530948519706726,
-0.1706252098083496,
-0.09467201679944992,
-0.1400817185640335,
0.03522844985127449,
0.015107291750609875,
0.7085170149803162,
0.2406422197818756,
0.4471988379955292,
-0.3157654404640198,
-0.06770242750644684,
-0.5137097239494324,
-0.13571318984031677,
0.1859472393989563,
-0.07559226453304291,
-0.18541443347930908,
0.05579252168536186,
0.04734259471297264,
0.31720688939094543,
-0.08298204094171524,
0.16424746811389923,
0.1825135350227356,
0.19075433909893036,
-0.5117715001106262,
-0.04429322108626366,
-0.023751981556415558,
0.23374812304973602,
0.24095746874809265,
-0.1344553679227829,
-0.21129441261291504,
0.1133662685751915,
-0.11925774067640305,
-0.10776684433221817,
-0.12228354811668396,
0.34944555163383484,
0.057620592415332794,
0.10408420860767365,
0.0757717564702034,
0.5753722190856934,
0.06265440583229065,
-0.19474078714847565,
0.04764428362250328,
-0.051162369549274445,
-0.29825636744499207,
-0.09186097979545593,
-0.07321760058403015,
0.11370586603879929,
-0.3598737418651581,
0.35187703371047974,
0.013054987415671349,
-0.026847273111343384,
0.11974840611219406,
-0.05373810604214668,
-0.07982292771339417,
-0.13715869188308716,
0.06085817888379097,
0.19985537230968475,
0.25871777534484863,
0.7949309945106506,
-0.1530762016773224,
0.1390356570482254,
-0.1364794820547104,
0.05447755008935928,
0.10467564314603806,
-0.12959639728069305,
-0.21673141419887543,
-0.11664749681949615,
0.05686800181865692,
0.044898051768541336,
0.1433512270450592,
-0.5357409715652466,
-0.28407585620880127,
0.12216445803642273,
0.005257176700979471,
0.017482200637459755,
0.7596599459648132,
0.28241315484046936,
-0.1751401722431183,
-0.051766667515039444,
-0.1894180178642273,
0.008701004087924957,
-0.22647447884082794,
0.0978517234325409,
-0.28781479597091675
] |
https://github.com/huggingface/datasets/issues/216 | ❓ How to get ROUGE-2 with the ROUGE metric ? | For the rouge2 metric you can do
```python
rouge = nlp.load_metric('rouge')
with open("pred.txt") as p, open("ref.txt") as g:
for lp, lg in zip(p, g):
rouge.add(lp, lg)
score = rouge.compute(rouge_types=["rouge2"])
```
Note that I just did a PR to have both `.add` and `.add_batch` for metrics, that's why now this is `rouge.add(lp, lg)` and not `rouge.add([lp], [lg])` | I'm trying to use ROUGE metric, but I don't know how to get the ROUGE-2 metric.
---
I compute scores with :
```python
import nlp
rouge = nlp.load_metric('rouge')
with open("pred.txt") as p, open("ref.txt") as g:
for lp, lg in zip(p, g):
rouge.add([lp], [lg])
score = rouge.compute()
```
then : _(print only the F-score for readability)_
```python
for k, s in score.items():
print(k, s.mid.fmeasure)
```
It gives :
>rouge1 0.7915168355671788
rougeL 0.7915168355671788
---
**How can I get the ROUGE-2 score ?**
Also, it's seems weird that ROUGE-1 and ROUGE-L scores are the same. Did I made a mistake ?
@lhoestq | 56 | ❓ How to get ROUGE-2 with the ROUGE metric ?
I'm trying to use ROUGE metric, but I don't know how to get the ROUGE-2 metric.
---
I compute scores with :
```python
import nlp
rouge = nlp.load_metric('rouge')
with open("pred.txt") as p, open("ref.txt") as g:
for lp, lg in zip(p, g):
rouge.add([lp], [lg])
score = rouge.compute()
```
then : _(print only the F-score for readability)_
```python
for k, s in score.items():
print(k, s.mid.fmeasure)
```
It gives :
>rouge1 0.7915168355671788
rougeL 0.7915168355671788
---
**How can I get the ROUGE-2 score ?**
Also, it's seems weird that ROUGE-1 and ROUGE-L scores are the same. Did I made a mistake ?
@lhoestq
For the rouge2 metric you can do
```python
rouge = nlp.load_metric('rouge')
with open("pred.txt") as p, open("ref.txt") as g:
for lp, lg in zip(p, g):
rouge.add(lp, lg)
score = rouge.compute(rouge_types=["rouge2"])
```
Note that I just did a PR to have both `.add` and `.add_batch` for metrics, that's why now this is `rouge.add(lp, lg)` and not `rouge.add([lp], [lg])` | [
0.08258155733346939,
-0.44010505080223083,
-0.09260937571525574,
0.3807034492492676,
-0.05949254706501961,
-0.1371210515499115,
-0.3506767451763153,
0.09061744809150696,
0.02350207418203354,
0.2352948784828186,
-0.25593113899230957,
0.16841112077236176,
-0.021551530808210373,
0.0022069502156227827,
0.09740132838487625,
-0.31786614656448364,
0.037423115223646164,
-0.03475522994995117,
0.16254755854606628,
-0.2055857926607132,
-0.15831127762794495,
0.3564314842224121,
-0.06627991795539856,
0.26760706305503845,
0.05491020530462265,
0.22830094397068024,
0.18456704914569855,
0.20209920406341553,
-0.41247716546058655,
-0.17357990145683289,
0.14888429641723633,
0.005113252904266119,
0.23019839823246002,
0.29974085092544556,
-0.0001134504855144769,
-0.22685807943344116,
0.16347800195217133,
-0.09964251518249512,
0.10824290663003922,
-0.5389807224273682,
0.06842223554849625,
-0.2803023159503937,
-0.1171010285615921,
-0.050359971821308136,
-0.07701842486858368,
-0.2652795910835266,
-0.30860164761543274,
-0.1595865786075592,
0.30006301403045654,
0.15584254264831543,
0.13660471141338348,
-0.20554190874099731,
-0.062215253710746765,
-0.10612660646438599,
0.26183760166168213,
-0.10174686461687088,
0.1145925521850586,
0.5414429306983948,
0.2648921310901642,
0.00353650888428092,
0.12690424919128418,
0.14564748108386993,
0.2574688792228699,
0.06553052365779877,
0.30028995871543884,
0.21130535006523132,
0.31865331530570984,
-0.11210092157125473,
-0.19202947616577148,
0.28055843710899353,
0.12960191071033478,
-0.1342126876115799,
-0.302422434091568,
0.10026373714208603,
0.0776541531085968,
-0.5770207047462463,
-0.2875576317310333,
-0.10818680375814438,
0.1591963768005371,
-0.21189647912979126,
-0.19137606024742126,
-0.04324133321642876,
-0.15449833869934082,
0.1063506007194519,
0.07333295047283173,
-0.011297439225018024,
-0.053659237921237946,
0.19882185757160187,
0.18406549096107483,
-0.00339867384172976,
-0.5394593477249146,
0.21521300077438354,
-0.314208984375,
0.29421359300613403,
-0.30655211210250854,
-0.09514345228672028,
0.18695148825645447,
0.4066509008407593,
0.10325285792350769,
0.3489806354045868,
0.11953504383563995,
-0.2580714821815491,
-0.2762499451637268,
0.08729398250579834,
-0.06995879858732224,
0.40451496839523315,
0.19604943692684174,
0.33812716603279114,
-0.028442000970244408,
0.069270059466362,
0.19545577466487885,
-0.06287293881177902,
0.2469354271888733,
-0.4772728681564331,
-0.0635710209608078,
0.4770829677581787,
-0.0077677140943706036,
-0.5834079384803772,
-0.458800345659256,
-0.028733111917972565,
-0.3379412889480591,
-0.2079697698354721,
0.15753038227558136,
0.1054937094449997,
-0.2072848528623581,
0.3233107924461365,
-0.03419431298971176,
0.27940356731414795,
-0.32626089453697205,
-0.11367327719926834,
-0.15017753839492798,
0.2062859833240509,
-0.2022613137960434,
0.22359465062618256,
0.15394027531147003,
0.1776585429906845,
0.2562231719493866,
0.2119540125131607,
0.2691638767719269,
0.05984479561448097,
0.2062678188085556,
-0.23722749948501587,
-0.1175263300538063,
-0.14814843237400055,
-0.03447932004928589,
0.07741110026836395,
0.188406839966774,
-0.27248072624206543,
-0.12267471104860306,
-0.07505448162555695,
-0.30150270462036133,
-0.008742393925786018,
0.159201979637146,
0.13326121866703033,
0.1258598268032074,
0.016422266140580177,
-0.2135908603668213,
0.3548075556755066,
-0.15039624273777008,
-0.2694525718688965,
0.2013503462076187,
-0.07212842255830765,
-0.2583302855491638,
-0.1263648122549057,
0.22931286692619324,
-0.32643333077430725,
-0.17086640000343323,
0.04430997371673584,
0.2678414285182953,
-0.08543535321950912,
0.058966487646102905,
0.3666199743747711,
0.0015424714656546712,
0.19801266491413116,
-0.15210507810115814,
-0.5923179984092712,
0.6651841402053833,
-0.7773889899253845,
-0.06579883396625519,
-0.0005516528617590666,
-0.11361798644065857,
-0.15772877633571625,
0.13908760249614716,
0.029331594705581665,
-0.29635360836982727,
-0.20137421786785126,
0.3400665521621704,
-0.031103914603590965,
-0.15010985732078552,
-0.3194093406200409,
-0.09263499081134796,
0.33678963780403137,
0.45280492305755615,
-0.1628914773464203,
-0.04249383136630058,
-0.11781314015388489,
-0.08548730611801147,
-0.041740164160728455,
0.4088154435157776,
0.0696653351187706,
-0.1271551102399826,
0.021893499419093132,
-0.18314966559410095,
0.16435642540454865,
0.22998687624931335,
-0.2909383773803711,
0.25405117869377136,
0.10766607522964478,
-0.9638217687606812,
-0.2275739163160324,
0.4533103108406067,
-0.2547580599784851,
-0.6550402045249939,
-0.20376750826835632,
0.3090626001358032,
-0.2672730088233948,
0.09786123037338257,
-0.16166478395462036,
0.36612942814826965,
0.06151772290468216,
-0.12694720923900604,
0.096696637570858,
0.0601763017475605,
-0.004192337393760681,
-0.3270717263221741,
-0.1326190084218979,
0.10517575591802597,
0.07881271094083786,
0.25295379757881165,
0.4529840052127838,
0.4550018906593323,
0.26617857813835144,
0.14760783314704895,
0.23407474160194397,
0.22817154228687286,
0.11697331070899963,
0.316596120595932,
0.28234419226646423,
0.1658865064382553,
0.06817023456096649,
-0.06692598760128021,
0.4591514468193054,
0.3160402178764343,
-0.1627163290977478,
-0.1957544982433319,
0.41319331526756287,
-0.48462262749671936,
0.12427722662687302,
0.027904076501727104,
0.012188560329377651,
-0.20597568154335022,
0.1272016018629074,
-0.406619668006897,
0.004663189873099327,
0.23972119390964508,
-0.10887482017278671,
0.13831008970737457,
-0.26548030972480774,
0.07673665136098862,
-0.06142406910657883,
0.1953820437192917,
0.021580172702670097,
-0.03668477013707161,
-0.13535979390144348,
-0.0005476675578393042,
-0.043356601148843765,
-0.09061430394649506,
-0.20829983055591583,
0.18548227846622467,
0.17604278028011322,
0.2232333868741989,
0.12233293801546097,
-0.3682175576686859,
-0.1841256320476532,
-0.053566280752420425,
-0.05732811242341995,
0.016051005572080612,
0.02372909151017666,
0.11102531850337982,
-0.04540048539638519,
0.1383504718542099,
-0.284076452255249,
-0.25924456119537354,
0.10575330257415771,
-0.35086849331855774,
0.10057388246059418,
-0.09940113872289658,
-0.11004449427127838,
-0.17763246595859528,
-0.5282853841781616,
-0.13439427316188812,
-0.34777596592903137,
-0.02615230716764927,
0.0755162388086319,
0.2976171672344208,
-0.2034304141998291,
0.21936529874801636,
0.18032537400722504,
-0.10814514011144638,
0.3281554579734802,
0.10603364557027817,
-0.21060998737812042,
-0.2679210603237152,
0.17807550728321075,
-0.22155305743217468,
0.007940058596432209,
0.24635525047779083,
-0.1296309232711792,
-0.007005790714174509,
0.15436023473739624,
-0.2549620270729065,
-0.09858163446187973,
-0.05393831059336662,
0.22666549682617188,
0.062423285096883774,
-0.28835755586624146,
-0.20405597984790802,
0.3045313358306885,
0.23586611449718475,
-0.024508817121386528,
-0.261688232421875,
0.03409338742494583,
-0.19851404428482056,
0.20603403449058533,
0.052129216492176056,
-0.18085193634033203,
0.06330055743455887,
-0.0806746557354927,
0.4839155972003937,
0.24622279405593872,
-0.0729643851518631,
0.2792002558708191,
-0.3118186891078949,
0.2519313097000122,
0.31410765647888184,
0.37752342224121094,
-0.3375565707683563,
-0.2846820056438446,
0.31501686573028564,
-0.41623133420944214,
-0.3131351172924042,
-0.09678281843662262,
0.06253837049007416,
-0.013087146915495396,
-0.08516311645507812,
0.06592990458011627,
-0.34703490138053894,
0.03881409019231796,
-0.041318900883197784,
-0.1230342835187912,
0.18541386723518372,
0.24729028344154358,
-0.2666778862476349,
-0.05914135277271271,
-0.10685449838638306,
0.08153596520423889,
-0.01344816479831934,
0.10353575646877289,
0.5398581624031067,
-0.27826380729675293,
0.11782331019639969,
0.13101071119308472,
0.34448787569999695,
0.37147143483161926,
0.4343835115432739,
0.05482850223779678,
0.1600295752286911,
0.029157012701034546,
0.0896739587187767,
-0.17208275198936462,
0.30430707335472107,
0.07725419104099274,
-0.15839846432209015,
0.0700274407863617,
0.1549830287694931,
0.42408931255340576,
-0.28693440556526184,
-0.03230747580528259,
-0.10815959423780441,
0.106789730489254,
-0.08260015398263931,
-0.26620009541511536,
-0.039602555334568024,
-0.08259399235248566,
0.042218130081892014,
-0.12649735808372498,
-0.10205915570259094,
0.30802634358406067,
0.036288708448410034,
0.2076338827610016,
0.1973804384469986,
-0.37305396795272827,
-0.0860799178481102,
-0.30504995584487915,
0.4734286069869995,
0.09159287065267563,
-0.00303440960124135,
0.12427815049886703,
0.09895510226488113,
-0.01705552078783512,
-0.19436296820640564,
0.4446815252304077,
0.036086034029722214,
0.19325853884220123,
0.29458633065223694,
-0.19206920266151428,
-0.6826239824295044,
-0.17620934545993805,
-0.31174856424331665,
0.2777722477912903,
0.16995839774608612,
0.08621393144130707,
-0.17443951964378357,
0.057886719703674316,
0.19328728318214417,
0.0027842901181429625,
-0.1897594928741455,
0.027197791263461113,
-0.31895625591278076,
0.015281899832189083,
0.32539862394332886,
-0.21736939251422882,
-0.11527746170759201,
0.5167659521102905,
-0.0853353813290596,
0.3249637484550476,
0.09882167726755142,
-0.25806915760040283,
0.4550524652004242,
-0.002124434569850564,
0.2430940419435501,
0.11786956340074539,
-0.18184930086135864,
0.15938535332679749,
-0.13895131647586823,
-0.5745753049850464,
0.33481156826019287,
0.09035544842481613,
-0.5968512296676636,
-0.10880061984062195,
0.00811954215168953,
0.48261627554893494,
0.0303758904337883,
-0.05051271244883537,
-0.08397011458873749,
-0.44186103343963623,
-0.11237693578004837,
-0.5094918608665466,
-0.13879302144050598,
0.2701757550239563,
-0.0065772500820457935,
-0.11409121751785278,
-0.3621305227279663,
0.5230094790458679,
0.3907352387905121,
-0.331646203994751,
0.35048091411590576,
-0.2329188585281372,
-0.20785191655158997,
0.22355642914772034,
0.07861439138650894,
0.7750361561775208,
0.23556798696517944,
-0.0316280722618103,
0.12106256932020187,
-0.256979376077652,
0.5335085988044739,
-0.6500670909881592,
0.07334934175014496,
-0.2151559591293335,
-0.268425315618515,
-0.039984554052352905,
0.06009405851364136,
0.048210788518190384,
0.18227246403694153,
0.08014410734176636,
0.5681713819503784,
-0.06007906794548035,
-0.15259864926338196,
-0.03092052787542343,
0.25361138582229614,
0.09966547787189484,
-0.12943455576896667,
-0.1757189780473709,
0.16745468974113464,
-0.1329164206981659,
0.00017677561845630407,
-0.27084091305732727,
0.11507463455200195,
-0.5599821209907532,
0.06690474599599838,
-0.14745046198368073,
-0.13702446222305298,
-0.18371455371379852,
0.17790383100509644,
0.13588498532772064,
-0.42254069447517395,
-0.33103421330451965,
0.5675349831581116,
0.725046694278717,
0.06679334491491318,
-0.2974846661090851,
0.2634715437889099,
-0.17508454620838165,
0.11545851826667786,
0.0364186055958271,
-0.09256564825773239,
0.05644403025507927,
-0.028396984562277794,
-0.02011786587536335,
0.32481008768081665,
0.3469853103160858,
-0.002153206616640091,
-0.17017854750156403,
0.009425805881619453,
-0.14369678497314453,
0.04415067285299301,
-0.0592578649520874,
0.24112568795681,
0.34101009368896484,
0.07543107122182846,
0.08714169263839722,
0.2268550843000412,
-0.5656334161758423,
-0.05264560505747795,
0.20045378804206848,
-0.1952410638332367,
0.14268119633197784,
0.2905636727809906,
0.03757636249065399,
-0.293536514043808,
-0.22153706848621368,
0.0875626653432846,
0.07894787937402725,
-0.005835336167365313,
-0.04641568288207054,
0.016473950818181038,
-0.06334932148456573,
0.01827385276556015,
0.287295937538147,
0.15044505894184113,
0.03996080160140991,
0.506568431854248,
0.3182370364665985,
-0.13108158111572266,
0.2522672414779663,
-0.45389872789382935,
-0.2241072952747345,
0.19057060778141022,
0.08486582338809967,
-0.08753083646297455,
-0.08937346190214157,
-0.08392159640789032,
0.1378520131111145,
0.542251467704773,
-0.28925949335098267,
-0.23756715655326843,
-0.04239954054355621,
0.14428743720054626,
-0.16340066492557526,
-0.13924908638000488,
-0.10749528557062149,
0.14073313772678375,
0.06439004838466644,
0.04496736079454422,
-0.18612630665302277,
-0.1794566959142685,
-0.2494574636220932,
0.1313873827457428,
-0.1495238095521927,
0.16889534890651703,
-0.06284750998020172,
0.07508085668087006,
0.184678852558136,
-0.08171870559453964,
-0.05887357518076897,
0.3747638463973999,
0.37351539731025696,
0.3379550874233246,
-0.03439314663410187,
0.10218127071857452,
-0.056324250996112823,
-0.017829785123467445,
0.21329465508460999,
0.2078014463186264,
0.07900924235582352,
-0.00853796023875475,
0.14385895431041718,
-0.016868287697434425,
-0.28753483295440674,
-0.08985932171344757,
-0.14779630303382874,
-0.22689560055732727,
0.14476226270198822,
-0.01856963150203228,
0.20657089352607727,
-0.21333351731300354,
0.3798781633377075,
0.13268712162971497,
-0.07608450204133987,
0.18973107635974884,
-0.18290548026561737,
0.1428568810224533,
-0.11980114877223969,
0.40618014335632324,
0.1725999414920807,
0.25368550419807434,
-0.2150341272354126,
0.258207231760025,
-0.033284641802310944,
0.1541895717382431,
-0.011891248635947704,
-0.008981614373624325,
-0.027472520247101784,
-0.3529621660709381,
0.21023701131343842,
-0.4513002932071686,
0.1374829113483429,
-0.07608562707901001,
0.3451693058013916,
-0.14173297584056854,
0.08663608133792877,
0.09466511756181717,
0.11317379772663116,
0.20618656277656555,
0.05709479749202728,
0.3819494843482971,
0.05865371227264404,
0.1647115796804428,
-0.3350290060043335,
0.2503338158130646,
0.03729349747300148,
-0.05603528395295143,
0.06057858094573021,
0.1348668932914734,
0.040382348001003265,
-0.19460339844226837,
-0.1217290461063385,
0.10459097474813461,
0.1230267733335495,
-0.39379435777664185,
-0.3598279356956482,
-0.25772836804389954,
-0.19753225147724152,
-0.056885503232479095,
-0.004424795508384705,
0.09338676184415817,
-0.14682893455028534,
0.05632414668798447,
-0.05959947407245636,
-0.29237157106399536,
-0.398826003074646,
0.15626993775367737,
0.344105988740921,
-0.07433120906352997,
0.10791236907243729,
0.20615963637828827,
0.3127463161945343,
0.3157906234264374,
0.3679596483707428,
0.1327415108680725,
0.08966732770204544,
-0.5088694095611572,
0.05510054901242256,
-0.18205170333385468,
-0.07493681460618973,
0.03659472241997719,
0.2758987247943878,
0.19292719662189484,
-0.17557115852832794,
0.31664589047431946,
0.15414322912693024,
-0.10532353818416595,
0.3391839861869812,
-0.14225612580776215,
0.059374481439590454,
-0.41194042563438416,
0.5525143146514893,
0.0364963561296463,
0.20788897573947906,
-0.20443876087665558,
0.05917315185070038,
-0.47369927167892456,
-0.18732336163520813,
-0.5115629434585571,
0.06559554487466812,
0.06152236834168434,
-0.3025525212287903,
0.07796745747327805,
0.08984465897083282,
0.024085137993097305,
0.08686548471450806,
0.42110976576805115,
-0.3376670479774475,
-0.19173629581928253,
-0.38417208194732666,
-0.3622974455356598,
-0.04848925769329071,
0.11754706501960754,
-0.24215500056743622,
0.28721028566360474,
-0.06774526089429855,
0.541233479976654,
0.15837720036506653,
0.4834287762641907,
0.05399258807301521,
0.17747762799263,
-0.20079343020915985,
-0.012256138026714325,
-0.09126152843236923,
-0.10455956310033798,
-0.1025996133685112,
0.22864001989364624,
-0.21448960900306702,
-0.17608579993247986,
0.036831334233284,
-0.15790362656116486,
-0.2663091719150543,
0.24678389728069305,
0.6915806531906128,
0.3145757019519806,
0.35585716366767883,
0.4649411141872406,
-0.019129948690533638,
0.03926919773221016,
-0.05851525440812111,
-0.0018536302959546447,
-0.05582151934504509,
0.1583450436592102,
-0.38414108753204346,
0.3125040829181671,
-0.30256569385528564,
-0.22766636312007904,
0.10168587416410446,
0.6001901030540466,
0.00941335316747427,
-0.20099976658821106,
-0.39312344789505005,
-0.07098246365785599,
0.018479134887456894,
-0.14986266195774078,
-0.41239190101623535,
0.33785268664360046,
-0.015126701444387436,
0.4427173137664795,
-0.009619197808206081,
-0.13172683119773865,
0.478371262550354,
-0.36559736728668213,
0.06721808761358261,
0.061627019196748734,
0.38429129123687744,
0.2618561089038849,
-0.07773318886756897,
-0.19687677919864655,
-0.03381285071372986,
0.3542476296424866,
0.1926385760307312,
-0.0012844557641074061,
0.16451597213745117,
-0.1842232495546341,
-0.10394877940416336,
-0.15975996851921082,
-0.01980188488960266,
0.06336183100938797,
0.04165369272232056,
0.10203717648983002,
-0.16577677428722382
] |
https://github.com/huggingface/datasets/issues/216 | ❓ How to get ROUGE-2 with the ROUGE metric ? | Well I just tested with the official script and both rouge1 and rougeL return exactly the same thing for the input you gave, so this is actually fine ^^
I hope it helped :) | I'm trying to use ROUGE metric, but I don't know how to get the ROUGE-2 metric.
---
I compute scores with :
```python
import nlp
rouge = nlp.load_metric('rouge')
with open("pred.txt") as p, open("ref.txt") as g:
for lp, lg in zip(p, g):
rouge.add([lp], [lg])
score = rouge.compute()
```
then : _(print only the F-score for readability)_
```python
for k, s in score.items():
print(k, s.mid.fmeasure)
```
It gives :
>rouge1 0.7915168355671788
rougeL 0.7915168355671788
---
**How can I get the ROUGE-2 score ?**
Also, it's seems weird that ROUGE-1 and ROUGE-L scores are the same. Did I made a mistake ?
@lhoestq | 34 | ❓ How to get ROUGE-2 with the ROUGE metric ?
I'm trying to use ROUGE metric, but I don't know how to get the ROUGE-2 metric.
---
I compute scores with :
```python
import nlp
rouge = nlp.load_metric('rouge')
with open("pred.txt") as p, open("ref.txt") as g:
for lp, lg in zip(p, g):
rouge.add([lp], [lg])
score = rouge.compute()
```
then : _(print only the F-score for readability)_
```python
for k, s in score.items():
print(k, s.mid.fmeasure)
```
It gives :
>rouge1 0.7915168355671788
rougeL 0.7915168355671788
---
**How can I get the ROUGE-2 score ?**
Also, it's seems weird that ROUGE-1 and ROUGE-L scores are the same. Did I made a mistake ?
@lhoestq
Well I just tested with the official script and both rouge1 and rougeL return exactly the same thing for the input you gave, so this is actually fine ^^
I hope it helped :) | [
0.12399008870124817,
-0.49795085191726685,
-0.08898469060659409,
0.3463135063648224,
-0.08415459096431732,
-0.2206086665391922,
-0.3729407787322998,
0.080358125269413,
0.036045148968696594,
0.22104912996292114,
-0.2184777706861496,
0.23340599238872528,
-0.011108973063528538,
-0.0014879658119753003,
0.07686194032430649,
-0.28436294198036194,
-0.011588569730520248,
-0.03263470157980919,
0.08533453941345215,
-0.24821960926055908,
-0.10775768756866455,
0.40545654296875,
-0.15447036921977997,
0.25245705246925354,
0.06542922556400299,
0.3166957497596741,
0.170079305768013,
0.21432356536388397,
-0.43286556005477905,
-0.18212702870368958,
0.16527074575424194,
0.05036305636167526,
0.14969542622566223,
0.23267754912376404,
-0.0001142661421908997,
-0.29253774881362915,
0.18494346737861633,
-0.1414395123720169,
0.1738610863685608,
-0.6005343198776245,
0.058325521647930145,
-0.26914945244789124,
-0.08119753003120422,
-0.06456372141838074,
-0.1110232025384903,
-0.19320006668567657,
-0.28851518034935,
-0.12736763060092926,
0.3743640184402466,
0.2322625070810318,
0.1280948966741562,
-0.2020396888256073,
-0.06131448224186897,
-0.05112849920988083,
0.24692222476005554,
-0.08830829709768295,
0.08550655841827393,
0.5601392984390259,
0.26604458689689636,
-0.03746877983212471,
0.08142247796058655,
0.1509748101234436,
0.23171301186084747,
0.009744318202137947,
0.39035800099372864,
0.17862598598003387,
0.24379891157150269,
-0.09382635354995728,
-0.22313925623893738,
0.32748842239379883,
0.18336033821105957,
-0.1542433500289917,
-0.2336723655462265,
0.1524389684200287,
0.027276013046503067,
-0.5276967287063599,
-0.2502237856388092,
-0.09636113792657852,
0.20212006568908691,
-0.153611958026886,
-0.24245621263980865,
-0.030753642320632935,
-0.2164042443037033,
0.08503406494855881,
0.00017964419384952635,
-0.007078643888235092,
-0.06696687638759613,
0.16879858076572418,
0.2031935751438141,
0.011865269392728806,
-0.5337009429931641,
0.2507765591144562,
-0.3072171211242676,
0.3494212329387665,
-0.37095749378204346,
-0.16411682963371277,
0.13272228837013245,
0.4145556092262268,
0.10024268180131912,
0.40116146206855774,
0.22469502687454224,
-0.1404869109392166,
-0.267223596572876,
0.1099192351102829,
-0.03308188170194626,
0.4469316601753235,
0.22990891337394714,
0.3148643970489502,
-0.027802443131804466,
0.025183141231536865,
0.1482384204864502,
-0.02264491841197014,
0.23133720457553864,
-0.456952303647995,
-0.038009654730558395,
0.39786869287490845,
-0.027401261031627655,
-0.6806560754776001,
-0.4113566279411316,
0.051422227174043655,
-0.3216807246208191,
-0.14020481705665588,
0.11257915198802948,
0.0980573445558548,
-0.1921643763780594,
0.330240398645401,
-0.007844320498406887,
0.2373749315738678,
-0.331519216299057,
-0.1402774155139923,
-0.07846434414386749,
0.2287806272506714,
-0.25133273005485535,
0.21520040929317474,
0.18882884085178375,
0.21518763899803162,
0.2448730319738388,
0.20560802519321442,
0.3032255172729492,
0.029210476204752922,
0.2829256057739258,
-0.2480918914079666,
-0.02712087891995907,
-0.14943131804466248,
-0.07167086750268936,
0.060484472662210464,
0.11274910718202591,
-0.2844979763031006,
-0.09193672984838486,
-0.05520607903599739,
-0.2921646237373352,
0.009701142087578773,
0.1461050808429718,
0.13343605399131775,
0.07843813300132751,
0.012796142138540745,
-0.11202649772167206,
0.3773162066936493,
-0.20596849918365479,
-0.26619935035705566,
0.21629922091960907,
-0.14620496332645416,
-0.28263136744499207,
-0.1256779581308365,
0.21286283433437347,
-0.3043459355831146,
-0.15618181228637695,
0.08477049320936203,
0.25281721353530884,
-0.0532623827457428,
0.014621610753238201,
0.4060993194580078,
0.06860829144716263,
0.15228421986103058,
-0.09097372740507126,
-0.5238790512084961,
0.6502173542976379,
-0.7507554888725281,
-0.09616758674383163,
0.0344623439013958,
-0.0805513858795166,
-0.10891702026128769,
0.08223535865545273,
0.021922646090388298,
-0.3146570920944214,
-0.14471319317817688,
0.28157612681388855,
0.010719622485339642,
-0.08700982481241226,
-0.31078410148620605,
-0.15044115483760834,
0.39708709716796875,
0.4027325510978699,
-0.07194726914167404,
-0.08274543285369873,
-0.17706604301929474,
-0.12735801935195923,
-0.016922172158956528,
0.4076840579509735,
0.037556473165750504,
-0.12502363324165344,
0.11389704793691635,
-0.19675959646701813,
0.1464032679796219,
0.27248284220695496,
-0.3125994801521301,
0.34934088587760925,
0.07731451839208603,
-0.8894869685173035,
-0.17240449786186218,
0.4622156620025635,
-0.22569240629673004,
-0.6651102304458618,
-0.2151516079902649,
0.3109324276447296,
-0.31003403663635254,
0.10217607766389847,
-0.22574616968631744,
0.3516808748245239,
0.1139778345823288,
-0.15364307165145874,
0.20693862438201904,
0.061979904770851135,
0.0069306278601288795,
-0.31909796595573425,
-0.16207414865493774,
0.10615484416484833,
0.05850504711270332,
0.2559981644153595,
0.47424280643463135,
0.4499499201774597,
0.22688065469264984,
0.16882717609405518,
0.21439839899539948,
0.25388383865356445,
0.034971825778484344,
0.25829946994781494,
0.20957620441913605,
0.19598017632961273,
-0.01846867799758911,
-0.07744082063436508,
0.5199013352394104,
0.30376070737838745,
-0.15413634479045868,
-0.19438490271568298,
0.46627509593963623,
-0.49039340019226074,
0.057442229241132736,
0.030123040080070496,
0.003535803873091936,
-0.23440827429294586,
0.04894731566309929,
-0.4269282817840576,
0.008210007101297379,
0.3378644287586212,
-0.07221459597349167,
0.15080951154232025,
-0.21438336372375488,
0.07765533030033112,
-0.058721981942653656,
0.1669670194387436,
-0.023158853873610497,
-0.0700710341334343,
-0.09916824102401733,
0.04828375205397606,
-0.052478812634944916,
-0.08713266253471375,
-0.14648179709911346,
0.13671371340751648,
0.14246462285518646,
0.1714954674243927,
0.2192109078168869,
-0.4117482900619507,
-0.18401721119880676,
-0.00791239831596613,
-0.15325428545475006,
0.012183813378214836,
0.015409658662974834,
0.06150908023118973,
-0.07383936643600464,
0.05183932185173035,
-0.3049065172672272,
-0.3022271990776062,
0.06790226697921753,
-0.32608282566070557,
0.0888364389538765,
-0.10181170701980591,
-0.1412833333015442,
-0.1743474304676056,
-0.459698349237442,
-0.15071244537830353,
-0.3067997694015503,
-0.037474554032087326,
0.07321818917989731,
0.2997550666332245,
-0.298447847366333,
0.21187330782413483,
0.20868965983390808,
-0.09639443457126617,
0.35062742233276367,
0.09900621324777603,
-0.2984909117221832,
-0.21889297664165497,
0.148515984416008,
-0.22972339391708374,
0.010995885357260704,
0.20694595575332642,
-0.1500377058982849,
-0.0032065054401755333,
0.14732475578784943,
-0.2885565459728241,
-0.0999545156955719,
-0.02525883913040161,
0.16488507390022278,
0.05572749674320221,
-0.33034342527389526,
-0.21322490274906158,
0.3580799698829651,
0.15705740451812744,
-0.043253060430288315,
-0.25011029839515686,
0.09181647002696991,
-0.12921252846717834,
0.13602477312088013,
-0.0053225234150886536,
-0.2049800604581833,
0.07565301656723022,
-0.016804229468107224,
0.48908236622810364,
0.23215335607528687,
-0.025979578495025635,
0.2851453125476837,
-0.35402461886405945,
0.2125239223241806,
0.25654518604278564,
0.39148715138435364,
-0.32673799991607666,
-0.27257564663887024,
0.3942364752292633,
-0.43585824966430664,
-0.3721911609172821,
-0.10294661670923233,
0.10516542196273804,
0.02943924255669117,
-0.044423818588256836,
0.05712873861193657,
-0.32959774136543274,
0.054108407348394394,
-0.0908435806632042,
-0.17520231008529663,
0.1330191195011139,
0.22480043768882751,
-0.26698818802833557,
-0.04010305926203728,
-0.12790347635746002,
0.09605003148317337,
-0.0023119349498301744,
0.13142900168895721,
0.5086544156074524,
-0.2481072098016739,
0.07726944983005524,
0.14046289026737213,
0.27565672993659973,
0.4029235541820526,
0.4460241198539734,
0.04914803057909012,
0.16979755461215973,
0.02271304838359356,
0.0836675837635994,
-0.1309284120798111,
0.28202977776527405,
0.04214993119239807,
-0.12101132422685623,
0.10032157599925995,
0.184701606631279,
0.33166590332984924,
-0.3414808213710785,
-0.08046235889196396,
-0.09187593311071396,
0.09235560148954391,
-0.0638105496764183,
-0.24431459605693817,
-0.03437425568699837,
-0.05484861135482788,
0.05709228664636612,
-0.09766294062137604,
-0.134943425655365,
0.3102973401546478,
0.022705547511577606,
0.21679846942424774,
0.16918714344501495,
-0.3748897314071655,
-0.028954531997442245,
-0.3219945728778839,
0.42253366112709045,
0.0653609037399292,
-0.03763560578227043,
0.13242244720458984,
0.06527949869632721,
0.006213005166500807,
-0.22974920272827148,
0.3863010108470917,
0.06365003436803818,
0.21256239712238312,
0.265256404876709,
-0.2225475013256073,
-0.670853316783905,
-0.1808362454175949,
-0.31598493456840515,
0.2895922064781189,
0.1978677362203598,
0.023055341094732285,
-0.15612204372882843,
0.08311475813388824,
0.18468430638313293,
-0.028113199397921562,
-0.18701830506324768,
0.04569750651717186,
-0.2581057548522949,
0.009998743422329426,
0.3646010458469391,
-0.22924284636974335,
-0.14277887344360352,
0.47826141119003296,
-0.06072985380887985,
0.34218454360961914,
0.14983750879764557,
-0.21545206010341644,
0.45361700654029846,
0.04777529090642929,
0.27631431818008423,
0.02659096196293831,
-0.20807835459709167,
0.16249145567417145,
-0.0944196805357933,
-0.6795375347137451,
0.33890724182128906,
0.1927538812160492,
-0.5905694365501404,
-0.16465133428573608,
-0.037636324763298035,
0.4764319956302643,
0.05458896979689598,
-0.011679058894515038,
-0.09295879304409027,
-0.4811422824859619,
-0.06214674562215805,
-0.5296534895896912,
-0.12390255928039551,
0.26546961069107056,
-0.008957031182944775,
-0.11165093630552292,
-0.3016607165336609,
0.48601284623146057,
0.3428497016429901,
-0.31324803829193115,
0.3125554621219635,
-0.19474424421787262,
-0.2029215395450592,
0.25724318623542786,
0.10273773968219757,
0.811381459236145,
0.21375557780265808,
0.002194369677454233,
0.07617899030447006,
-0.3513456881046295,
0.47075125575065613,
-0.7156761288642883,
0.044999413192272186,
-0.26291918754577637,
-0.25327253341674805,
-0.04182583466172218,
0.04671798273921013,
0.04493146017193794,
0.21422667801380157,
0.06681949645280838,
0.571744441986084,
0.0646706223487854,
-0.1611299216747284,
-0.0035067081917077303,
0.2737402319908142,
0.139947310090065,
-0.05350298807024956,
-0.1496005356311798,
0.145536407828331,
-0.1289556622505188,
-0.027125362306833267,
-0.2474435716867447,
0.09093455225229263,
-0.5433628559112549,
0.07716041803359985,
-0.16859084367752075,
-0.12107470631599426,
-0.1406952440738678,
0.11651474982500076,
0.13030695915222168,
-0.3935346305370331,
-0.2577759325504303,
0.6006626486778259,
0.7157086730003357,
0.12420566380023956,
-0.37131863832473755,
0.2642662525177002,
-0.20645582675933838,
0.15178203582763672,
0.10992224514484406,
-0.05415470525622368,
0.04587847366929054,
-0.0570327527821064,
-0.06457532942295074,
0.2766418159008026,
0.35905739665031433,
-0.010358286090195179,
-0.22057031095027924,
-0.007234475109726191,
-0.1653817892074585,
0.0703059583902359,
-0.03975014016032219,
0.20711588859558105,
0.3018411099910736,
0.1060420572757721,
0.08863233774900436,
0.21996474266052246,
-0.546942949295044,
-0.029552036896348,
0.243146613240242,
-0.23111717402935028,
0.16570483148097992,
0.3313014805316925,
0.00890005100518465,
-0.2933350205421448,
-0.254380464553833,
0.07475218921899796,
0.0823364108800888,
-0.00511067034676671,
-0.035461947321891785,
-0.020485196262598038,
-0.04117698594927788,
0.020233001559972763,
0.251038134098053,
0.13301078975200653,
0.021784162148833275,
0.43461349606513977,
0.3064218759536743,
-0.1111544743180275,
0.23509341478347778,
-0.4188058376312256,
-0.1954861581325531,
0.1380896419286728,
0.08050411194562912,
-0.11472403258085251,
-0.031743232160806656,
-0.15798793733119965,
0.17435526847839355,
0.5180916786193848,
-0.2837797701358795,
-0.18762148916721344,
-0.028949078172445297,
0.15590406954288483,
-0.13453392684459686,
-0.20898345112800598,
-0.20269271731376648,
0.07882999628782272,
0.046424899250268936,
0.0644054040312767,
-0.18087175488471985,
-0.1644836664199829,
-0.2384835183620453,
0.1403973400592804,
-0.13584986329078674,
0.1390451043844223,
-0.0938858836889267,
0.05311373248696327,
0.1827075034379959,
-0.08895445615053177,
-0.07194344699382782,
0.34918099641799927,
0.36998265981674194,
0.45747196674346924,
-0.10201887041330338,
0.08420000225305557,
-0.11546166986227036,
-0.034587204456329346,
0.2173672467470169,
0.22923825681209564,
0.08090738207101822,
-0.024483975023031235,
0.17273011803627014,
-0.03619283065199852,
-0.2474110722541809,
-0.054103586822748184,
-0.20524181425571442,
-0.2769985795021057,
0.20450380444526672,
-0.0031600084621459246,
0.2293151617050171,
-0.2594712972640991,
0.4298008978366852,
0.16129881143569946,
-0.09349506348371506,
0.1403721570968628,
-0.18730011582374573,
0.13596105575561523,
-0.11948489397764206,
0.357946515083313,
0.20658087730407715,
0.25414010882377625,
-0.24037840962409973,
0.2233319729566574,
-0.016074163839221,
0.08376356959342957,
0.06477053463459015,
-0.031832627952098846,
-0.028623254969716072,
-0.32644131779670715,
0.1821545660495758,
-0.4298461973667145,
0.15969713032245636,
-0.10262668877840042,
0.2641345262527466,
-0.15839871764183044,
0.06268320232629776,
0.20385798811912537,
0.11040182411670685,
0.22919881343841553,
0.025116965174674988,
0.42615050077438354,
0.04126860946416855,
0.24798661470413208,
-0.30988049507141113,
0.2689864933490753,
0.07964710146188736,
-0.03128304332494736,
0.10673469305038452,
0.1408994197845459,
0.11347445100545883,
-0.23334640264511108,
-0.14484363794326782,
0.06972614675760269,
0.12309932708740234,
-0.3971673548221588,
-0.3614509403705597,
-0.2509463131427765,
-0.2693318724632263,
-0.017957132309675217,
-0.051787711679935455,
0.12138763070106506,
-0.10855121165513992,
0.1001819372177124,
-0.04484071582555771,
-0.2422509640455246,
-0.3757950961589813,
0.07377666980028152,
0.4461504817008972,
-0.10802500694990158,
0.10562525689601898,
0.1896151602268219,
0.38043293356895447,
0.298563688993454,
0.33002015948295593,
0.1283009797334671,
0.08850307762622833,
-0.5871767401695251,
0.10413957387208939,
-0.18798470497131348,
-0.08341566473245621,
0.07671976089477539,
0.32121095061302185,
0.1787654012441635,
-0.16076795756816864,
0.32639607787132263,
0.12612158060073853,
-0.06357888132333755,
0.348756343126297,
-0.11649792641401291,
0.059141360223293304,
-0.3998604416847229,
0.43504664301872253,
0.11445923894643784,
0.21158578991889954,
-0.2502632737159729,
0.018330538645386696,
-0.530182421207428,
-0.18016186356544495,
-0.5192390084266663,
0.1562502384185791,
0.05731384456157684,
-0.33192944526672363,
0.07285428047180176,
0.12624847888946533,
0.07426141202449799,
0.055764611810445786,
0.3771967589855194,
-0.30973026156425476,
-0.28629428148269653,
-0.4125572741031647,
-0.3241789937019348,
0.023713093250989914,
0.07984797656536102,
-0.20768001675605774,
0.22943340241909027,
-0.04843538999557495,
0.5633389949798584,
0.10816986858844757,
0.4685989320278168,
0.05568750947713852,
0.17474479973316193,
-0.24061745405197144,
0.05537017434835434,
-0.09380460530519485,
-0.13297057151794434,
-0.14306572079658508,
0.2436823695898056,
-0.17661811411380768,
-0.1891975998878479,
0.03014885075390339,
-0.12438765168190002,
-0.22878091037273407,
0.21405847370624542,
0.7476037740707397,
0.26726171374320984,
0.31729429960250854,
0.4162444770336151,
-0.002822617767378688,
0.036342307925224304,
-0.007561690639704466,
0.06603803485631943,
0.007561011239886284,
0.20577438175678253,
-0.30258405208587646,
0.2575331926345825,
-0.21721982955932617,
-0.25412821769714355,
0.1553339660167694,
0.6273362040519714,
-0.040246859192848206,
-0.20091032981872559,
-0.35345590114593506,
-0.15675123035907745,
0.05964111536741257,
-0.1647377461194992,
-0.5186479687690735,
0.390350341796875,
-0.041450221091508865,
0.4093332588672638,
-0.0025362339802086353,
-0.08588703721761703,
0.4886847734451294,
-0.3368973135948181,
0.113932304084301,
0.11974486708641052,
0.3727897107601166,
0.24169683456420898,
-0.11075799912214279,
-0.23718160390853882,
-0.051548656076192856,
0.2927345931529999,
0.1626879721879959,
0.000671992136631161,
0.2067311406135559,
-0.15648233890533447,
-0.10198116302490234,
-0.17159141600131989,
0.06903044879436493,
0.11228419840335846,
0.06057703495025635,
0.06237468495965004,
-0.16444095969200134
] |
https://github.com/huggingface/datasets/issues/215 | NonMatchingSplitsSizesError when loading blog_authorship_corpus | I just ran it on colab and got this
```
[{'expected': SplitInfo(name='train', num_bytes=610252351, num_examples=532812,
dataset_name='blog_authorship_corpus'), 'recorded': SplitInfo(name='train',
num_bytes=611607465, num_examples=533285, dataset_name='blog_authorship_corpus')},
{'expected': SplitInfo(name='validation', num_bytes=37500394, num_examples=31277,
dataset_name='blog_authorship_corpus'), 'recorded': SplitInfo(name='validation',
num_bytes=35652716, num_examples=30804, dataset_name='blog_authorship_corpus')}]
```
which is different from the `dataset_infos.json` and also different from yours.
It looks like the script for generating examples is not consistent | Getting this error when i run `nlp.load_dataset('blog_authorship_corpus')`.
```
raise NonMatchingSplitsSizesError(str(bad_splits))
nlp.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train',
num_bytes=610252351, num_examples=532812, dataset_name='blog_authorship_corpus'),
'recorded': SplitInfo(name='train', num_bytes=616473500, num_examples=536323,
dataset_name='blog_authorship_corpus')}, {'expected': SplitInfo(name='validation',
num_bytes=37500394, num_examples=31277, dataset_name='blog_authorship_corpus'),
'recorded': SplitInfo(name='validation', num_bytes=30786661, num_examples=27766,
dataset_name='blog_authorship_corpus')}]
```
Upon checking it seems like there is a disparity between the information in `datasets/blog_authorship_corpus/dataset_infos.json` and what was downloaded. Although I can get away with this by passing `ignore_verifications=True` in `load_dataset`, I'm thinking doing so might give problems later on. | 53 | NonMatchingSplitsSizesError when loading blog_authorship_corpus
Getting this error when i run `nlp.load_dataset('blog_authorship_corpus')`.
```
raise NonMatchingSplitsSizesError(str(bad_splits))
nlp.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train',
num_bytes=610252351, num_examples=532812, dataset_name='blog_authorship_corpus'),
'recorded': SplitInfo(name='train', num_bytes=616473500, num_examples=536323,
dataset_name='blog_authorship_corpus')}, {'expected': SplitInfo(name='validation',
num_bytes=37500394, num_examples=31277, dataset_name='blog_authorship_corpus'),
'recorded': SplitInfo(name='validation', num_bytes=30786661, num_examples=27766,
dataset_name='blog_authorship_corpus')}]
```
Upon checking it seems like there is a disparity between the information in `datasets/blog_authorship_corpus/dataset_infos.json` and what was downloaded. Although I can get away with this by passing `ignore_verifications=True` in `load_dataset`, I'm thinking doing so might give problems later on.
I just ran it on colab and got this
```
[{'expected': SplitInfo(name='train', num_bytes=610252351, num_examples=532812,
dataset_name='blog_authorship_corpus'), 'recorded': SplitInfo(name='train',
num_bytes=611607465, num_examples=533285, dataset_name='blog_authorship_corpus')},
{'expected': SplitInfo(name='validation', num_bytes=37500394, num_examples=31277,
dataset_name='blog_authorship_corpus'), 'recorded': SplitInfo(name='validation',
num_bytes=35652716, num_examples=30804, dataset_name='blog_authorship_corpus')}]
```
which is different from the `dataset_infos.json` and also different from yours.
It looks like the script for generating examples is not consistent | [
-0.13186021149158478,
0.1403093934059143,
0.059409480541944504,
0.4210388660430908,
-0.10276028513908386,
0.06391100585460663,
-0.09939002245664597,
0.2403315305709839,
-0.16995199024677277,
0.16742543876171112,
-0.0025759756099432707,
0.2693621814250946,
0.10592704266309738,
-0.029215309768915176,
-0.061288680881261826,
0.11617553979158401,
-0.07574369758367538,
0.23838597536087036,
0.06643021106719971,
0.009823927655816078,
-0.02960858680307865,
0.4090338945388794,
-0.2907909154891968,
-0.08376237750053406,
-0.26350802183151245,
-0.20447713136672974,
-0.007695795968174934,
0.26649045944213867,
-0.028038399294018745,
-0.2925412058830261,
0.2720765173435211,
0.011067833751440048,
0.13318189978599548,
0.19191598892211914,
-0.00012480425357352942,
0.022843847051262856,
0.5506143569946289,
-0.25053179264068604,
-0.21130214631557465,
-0.2491970956325531,
-0.4140855669975281,
-0.28161385655403137,
0.03941405192017555,
-0.3059527575969696,
-0.07530687004327774,
0.13373887538909912,
0.16358354687690735,
-0.052976224571466446,
0.2451407015323639,
0.3204345405101776,
0.11070675402879715,
0.07963863015174866,
-0.26864486932754517,
0.13457974791526794,
0.12662196159362793,
0.0818084105849266,
-0.036990754306316376,
-0.0744718387722969,
-0.1828918606042862,
-0.17931245267391205,
-0.0033600626047700644,
0.46177706122398376,
-0.2776544392108917,
0.13988235592842102,
0.1918162852525711,
0.17948715388774872,
0.34826284646987915,
-0.13864758610725403,
0.1591961830854416,
0.3170473575592041,
0.4259495139122009,
0.15770386159420013,
-0.2048095315694809,
-0.4242803156375885,
-0.0219612754881382,
0.10003824532032013,
0.47994300723075867,
0.32488173246383667,
-0.23731021583080292,
0.0331987701356411,
-0.4330624043941498,
-0.0763508602976799,
-0.03681815043091774,
0.009393339045345783,
0.1595861315727234,
0.3218361735343933,
0.0860607773065567,
0.07757145911455154,
0.09996259212493896,
0.013011145405471325,
0.34360364079475403,
-0.27978336811065674,
-0.21615813672542572,
0.042084552347660065,
-0.10203386098146439,
-0.1977798193693161,
-0.18273696303367615,
0.06244157627224922,
0.15654721856117249,
0.07547769695520401,
0.37092193961143494,
-0.08625392615795135,
0.1798444390296936,
0.11776077747344971,
0.371538907289505,
-0.013676805421710014,
-0.028967464342713356,
0.5226830244064331,
0.10686852037906647,
-0.009326500818133354,
0.1176358312368393,
0.04502756521105766,
0.2934999465942383,
-0.1499844640493393,
-0.19445843994617462,
0.12557059526443481,
0.1616523563861847,
-0.6070362329483032,
-0.4450768232345581,
0.016515761613845825,
-0.5715517401695251,
-0.20781314373016357,
-0.05524882674217224,
0.24616649746894836,
-0.36231106519699097,
0.26535263657569885,
-0.18779288232326508,
-0.037590693682432175,
-0.32581827044487,
-0.01764429174363613,
-0.18110638856887817,
0.16775581240653992,
-0.13677334785461426,
0.2572120726108551,
0.14054368436336517,
-0.18570195138454437,
0.4198700785636902,
-0.1785367727279663,
-0.030709290876984596,
-0.15490326285362244,
0.260629802942276,
-0.193294495344162,
0.0708690658211708,
0.22536765038967133,
0.003308118088170886,
0.16629444062709808,
-0.09200587868690491,
-0.29528069496154785,
-0.35808485746383667,
0.1588878035545349,
-0.25167956948280334,
-0.5216350555419922,
0.1034586951136589,
0.12058121711015701,
-0.4729642868041992,
-0.03648775443434715,
-0.03690144792199135,
0.2329142540693283,
0.45762574672698975,
-0.3340526521205902,
-0.02695961482822895,
-0.1752268224954605,
-0.21760708093643188,
-0.04367863014340401,
-0.2373843938112259,
0.43923506140708923,
0.14354382455348969,
-0.23715530335903168,
0.13986776769161224,
0.06780404597520828,
0.6044771671295166,
0.36378055810928345,
-0.0025904576759785414,
0.07247541099786758,
-0.1579885631799698,
0.3344545066356659,
0.13933029770851135,
-0.3792094886302948,
-0.22019106149673462,
0.4759371876716614,
0.0770471915602684,
0.27838754653930664,
0.2617088258266449,
0.12012124061584473,
0.19283759593963623,
-0.1457984894514084,
0.13192351162433624,
0.39678218960762024,
-0.016017746180295944,
0.06469859182834625,
-0.475728303194046,
-0.3340059518814087,
0.45108887553215027,
0.1048203557729721,
0.10609795898199081,
0.016658153384923935,
-0.06624093651771545,
0.45338714122772217,
0.2774912118911743,
-0.11796852946281433,
-0.03857548534870148,
0.17891518771648407,
-0.29750537872314453,
-0.003019485389813781,
-0.00899463426321745,
0.045939672738313675,
-0.4310576319694519,
-0.06189721077680588,
-0.16155444085597992,
0.257390558719635,
0.021547041833400726,
-0.33969467878341675,
-0.12602579593658447,
-0.38537514209747314,
-0.012609955854713917,
-0.03815142810344696,
-0.02499976195394993,
0.32791668176651,
0.3891621530056,
0.020113619044423103,
0.04731030762195587,
0.5165185928344727,
-0.07561000436544418,
0.19800028204917908,
-0.7434918284416199,
0.2497139573097229,
-0.09700039774179459,
-0.22091664373874664,
0.4876715838909149,
0.29407206177711487,
0.1883365660905838,
-0.20826828479766846,
-0.12820002436637878,
0.4203101098537445,
-0.09913225471973419,
0.41020575165748596,
-0.3028308153152466,
0.009453179314732552,
0.28660091757774353,
-0.215903639793396,
-0.09509038180112839,
0.3127254545688629,
-0.014362218789756298,
-0.029680538922548294,
-0.0852992981672287,
0.4560611844062805,
-0.3552294969558716,
0.19494348764419556,
0.060180529952049255,
-0.07444102317094803,
0.11264679580926895,
-0.21182729303836823,
-0.2256210893392563,
-0.46470972895622253,
0.5550789833068848,
-0.011282491497695446,
-0.33899548649787903,
0.0956975445151329,
-0.22145220637321472,
0.09830587357282639,
0.4710584878921509,
0.09217467159032822,
-0.13324445486068726,
-0.10313460230827332,
0.10757985711097717,
-0.13031785190105438,
0.24420160055160522,
0.21329933404922485,
0.4979688227176666,
0.1266189068555832,
-0.02547059953212738,
0.05887516215443611,
-0.1459996998310089,
-0.38097384572029114,
0.1322554051876068,
-0.01731020212173462,
0.1433492749929428,
0.2880008816719055,
0.09366187453269958,
-0.04037431627511978,
-0.2727138102054596,
-0.04973475635051727,
0.1679784208536148,
0.2461204081773758,
-0.2921511232852936,
-0.04091458395123482,
-0.38650932908058167,
-0.4747580885887146,
-0.25838884711265564,
-0.15843415260314941,
-0.21669384837150574,
-0.33608439564704895,
0.16131658852100372,
0.24778391420841217,
-0.13261163234710693,
0.06924976408481598,
-0.1683560013771057,
0.06610171496868134,
-0.3122088313102722,
-0.07321539521217346,
-0.06265071779489517,
-0.286241739988327,
-0.243129163980484,
-0.043864402920007706,
0.1981612741947174,
0.3729358911514282,
0.2036009579896927,
-0.42539361119270325,
-0.2250232696533203,
0.14127881824970245,
-0.29145270586013794,
0.1450168341398239,
-0.02652626857161522,
-0.12445605546236038,
0.08017659932374954,
-0.2173846960067749,
0.2646995782852173,
-0.24174922704696655,
0.04491898790001869,
-0.10440641641616821,
-0.3310624361038208,
-0.10031037777662277,
0.12558455765247345,
0.004529020749032497,
-0.21038584411144257,
-0.41956716775894165,
-0.2590782344341278,
-0.34470677375793457,
-0.10632038116455078,
0.28229814767837524,
0.30478110909461975,
0.11865726113319397,
-0.15986160933971405,
-0.11309545487165451,
-0.05772758275270462,
0.21963682770729065,
-0.3405005633831024,
-0.09820704162120819,
0.23921041190624237,
-0.08729097992181778,
-0.11389204859733582,
0.011299941688776016,
-0.056971099227666855,
-0.033428654074668884,
0.15223239362239838,
-0.5655207633972168,
-0.20712706446647644,
-0.16636088490486145,
-0.10165082663297653,
-0.2521018981933594,
-0.27892234921455383,
0.5203970074653625,
-0.05680689960718155,
0.03545093536376953,
0.06587885320186615,
-0.4510561525821686,
0.032256513833999634,
0.16768886148929596,
0.5530170202255249,
-0.185030996799469,
0.20177896320819855,
-0.05939693748950958,
0.48935624957084656,
0.5270172357559204,
0.0005128696793690324,
-0.15433143079280853,
0.15244042873382568,
0.14646854996681213,
0.07625685632228851,
-0.03768391162157059,
0.367347776889801,
0.0548575259745121,
-0.222249835729599,
0.4481474459171295,
-0.005777308251708746,
-0.2257876694202423,
-0.18706969916820526,
-0.109590083360672,
-0.26541054248809814,
-0.28332987427711487,
0.13767164945602417,
-0.1600022315979004,
0.13109610974788666,
0.2893313765525818,
0.32105323672294617,
-0.07106932252645493,
-0.5795772671699524,
-0.07721086591482162,
0.3904191553592682,
0.1502414047718048,
0.12120397388935089,
-0.39578595757484436,
0.06771351397037506,
-0.5080146789550781,
0.34322699904441833,
0.24453237652778625,
0.2829876244068146,
-0.15224570035934448,
-0.07150101661682129,
0.10070925205945969,
-0.2628660500049591,
0.29469504952430725,
-0.4508109390735626,
-0.10308386385440826,
-0.05666991323232651,
-0.03291456028819084,
-0.3269297778606415,
-0.19002746045589447,
-0.16598482429981232,
0.4601229429244995,
0.47317543625831604,
0.46585312485694885,
-0.37072116136550903,
-0.08754438906908035,
0.20380419492721558,
-0.12906329333782196,
-0.1338876336812973,
-0.17332790791988373,
-0.32800185680389404,
-0.4676932692527771,
-0.16358686983585358,
-0.14630037546157837,
-0.1255975067615509,
0.33448326587677,
-0.013892687857151031,
-0.04778596758842468,
0.08378462493419647,
0.09194637089967728,
0.358094185590744,
0.3425993323326111,
0.07846520841121674,
0.11075626313686371,
0.1065606027841568,
0.2138594388961792,
0.5311780571937561,
0.12926580011844635,
0.5807297229766846,
0.1455204039812088,
-0.06633463501930237,
-0.019350402057170868,
-0.2441665530204773,
0.14895132184028625,
0.4908941090106964,
0.13517753779888153,
0.053815800696611404,
0.03748385235667229,
-0.08207717537879944,
-0.2781616449356079,
0.07523457705974579,
-0.007691981736570597,
-0.054472241550683975,
-0.4696715176105499,
-0.3332740068435669,
0.27587801218032837,
0.2949083745479584,
-0.14097736775875092,
-0.1551346778869629,
-0.24002864956855774,
-0.3468586206436157,
0.2835208773612976,
0.2437189370393753,
1.0874789953231812,
0.2417481541633606,
-0.022105829790234566,
-0.001839283388108015,
-0.15207724273204803,
0.9227555394172668,
-0.276262104511261,
0.4379432499408722,
-0.3907802104949951,
-0.20731167495250702,
-0.0421939417719841,
-0.16487109661102295,
0.1221626028418541,
0.022072818130254745,
-0.38290080428123474,
0.30941808223724365,
0.3011411726474762,
0.020167408511042595,
-0.11544997245073318,
0.38711994886398315,
-0.21533241868019104,
-0.14622926712036133,
-0.2855423390865326,
-0.028606224805116653,
-0.30701202154159546,
0.43148815631866455,
-0.025085868313908577,
-0.058468833565711975,
-0.21924804151058197,
-0.21921685338020325,
-0.3474554717540741,
0.2333545982837677,
0.03732415661215782,
-0.03378864377737045,
0.2643849849700928,
-0.22531411051750183,
-0.05423019453883171,
0.05196807160973549,
0.3515729308128357,
-0.08515388518571854,
-0.10732796043157578,
-0.07103370875120163,
-0.18470607697963715,
-0.14279155433177948,
0.12849268317222595,
0.014371734112501144,
0.23452508449554443,
-0.08470714092254639,
0.062451254576444626,
0.06788555532693863,
-0.09753060340881348,
-0.3518661856651306,
-0.1145564541220665,
-0.061132777482271194,
-0.20195931196212769,
-0.15386706590652466,
-0.04333454370498657,
0.13102221488952637,
-0.08529449254274368,
-0.038762181997299194,
0.0029936397913843393,
-0.14414578676223755,
-0.22105295956134796,
0.27000752091407776,
-0.06912102550268173,
-0.38187283277511597,
-0.15728257596492767,
0.3526187539100647,
0.44283995032310486,
0.03658849745988846,
0.36675068736076355,
-0.15284758806228638,
-0.0776594802737236,
-0.15032599866390228,
-0.15030460059642792,
-0.3644886314868927,
-0.2034793347120285,
0.23492339253425598,
-0.23662905395030975,
-0.12594136595726013,
0.1424080729484558,
0.4553367495536804,
0.1807447373867035,
0.33318695425987244,
-0.061184294521808624,
-0.5108866095542908,
-0.008190044201910496,
0.17526523768901825,
0.03207867220044136,
0.058280639350414276,
-0.05806531757116318,
0.5259189605712891,
-0.25158461928367615,
0.21031570434570312,
-0.19090032577514648,
-0.14888896048069,
-0.4438944160938263,
0.33429813385009766,
0.1320311576128006,
-0.04377243295311928,
-0.009572041220963001,
0.00005427761425380595,
-0.16391295194625854,
0.313930869102478,
-0.0652245432138443,
-0.005955446511507034,
-0.06146009638905525,
0.20650018751621246,
0.17853817343711853,
-0.10877057909965515,
-0.17463715374469757,
0.12480141222476959,
0.07677891105413437,
0.03751707822084427,
0.03463660925626755,
0.2473377138376236,
0.04405060037970543,
0.2818423807621002,
-0.3356454372406006,
0.11022841930389404,
-0.07830394059419632,
0.22765083611011505,
-0.2985173463821411,
0.36041122674942017,
-0.0591353103518486,
0.30647528171539307,
-0.10010315477848053,
0.015594568103551865,
0.15056967735290527,
-0.03606410324573517,
0.04848171025514603,
0.09732724726200104,
0.07677585631608963,
-0.17980939149856567,
0.14732098579406738,
0.18416312336921692,
-0.08916354179382324,
0.6363034248352051,
-0.0754883736371994,
-0.19107189774513245,
0.10431266576051712,
0.045415569096803665,
-0.08597459644079208,
0.0015476382104679942,
0.2222013771533966,
0.025047797709703445,
-0.05612998828291893,
0.5138848423957825,
0.08978325128555298,
-0.13231146335601807,
-0.13743680715560913,
0.1116626113653183,
0.3375568091869354,
-0.0757073312997818,
0.10394518077373505,
0.19666793942451477,
-0.20539207756519318,
0.09556011110544205,
0.30461305379867554,
-0.28127261996269226,
0.15195663273334503,
-0.00005180576772545464,
0.027242561802268028,
0.4766048192977905,
0.16119547188282013,
0.3706957697868347,
-0.024317026138305664,
-0.1133221760392189,
0.029959702864289284,
0.6413370966911316,
0.2822779715061188,
0.3716787099838257,
0.2842690348625183,
0.38737183809280396,
-0.2766489088535309,
0.02878682129085064,
-0.3678882420063019,
-0.175491601228714,
-0.06385727971792221,
-0.14051537215709686,
-0.46062037348747253,
-0.04844372346997261,
-0.17240595817565918,
0.20627927780151367,
-0.14023523032665253,
0.1260407269001007,
0.4599737226963043,
-0.07544803619384766,
-0.20757713913917542,
-0.37508898973464966,
0.12007753551006317,
0.028892289847135544,
0.166986882686615,
-0.23685863614082336,
0.31650403141975403,
-0.0766637846827507,
-0.0866449773311615,
0.3203834295272827,
0.5079476833343506,
0.4745158553123474,
0.3062897324562073,
-0.05767281726002693,
-0.20901288092136383,
0.08152608573436737,
0.11034267395734787,
0.22965672612190247,
0.7636841535568237,
0.2975423336029053,
-0.25712713599205017,
0.3881789445877075,
-0.06476624310016632,
-0.07674150913953781,
0.4682408273220062,
0.07057221233844757,
-0.08752623945474625,
-0.02216578833758831,
0.40950265526771545,
-0.07317881286144257,
0.115787073969841,
0.021555010229349136,
0.1373034119606018,
-0.25544700026512146,
-0.2709899842739105,
0.06821183860301971,
-0.2707931101322174,
0.305095911026001,
0.013167817145586014,
0.022203495725989342,
-0.3044299781322479,
0.6118450164794922,
0.3897588551044464,
-0.12752284109592438,
-0.20482787489891052,
-0.07230512797832489,
-0.43062692880630493,
0.3466022312641144,
-0.42263051867485046,
-0.23992328345775604,
-0.2996871769428253,
0.5030860900878906,
-0.22747057676315308,
0.4045395255088806,
-0.2877252995967865,
0.3795650601387024,
-0.06517530232667923,
-0.0316755585372448,
-0.22983844578266144,
-0.0672013983130455,
-0.12271544337272644,
-0.2966390550136566,
0.020049039274454117,
-0.2617557942867279,
0.22259069979190826,
0.07699619978666306,
-0.1308632642030716,
0.001514121307991445,
-0.016435878351330757,
0.01601746492087841,
0.40780237317085266,
-0.012908640317618847,
0.509090781211853,
0.3904208838939667,
-0.14212600886821747,
-0.15031278133392334,
-0.005525454878807068,
-0.3197632133960724,
-0.311140239238739,
0.41492024064064026,
0.21395549178123474,
0.3597549498081207,
-0.17412494122982025,
0.6665084958076477,
-0.06747268885374069,
0.31923648715019226,
0.05682786926627159,
0.022631796076893806,
-0.2512764036655426,
-0.057016704231500626,
-0.2459765374660492,
0.03582853823900223,
0.06754428893327713,
0.45341330766677856,
0.1536416858434677,
-0.027758149430155754,
-0.2425965815782547,
-0.34912997484207153,
0.4797305762767792,
-0.3962063193321228,
0.02929672971367836,
-0.006678964011371136,
0.18370340764522552,
0.24500298500061035,
-0.22634060680866241,
-0.7466573715209961,
-0.07005781680345535,
0.25677382946014404,
-0.21241328120231628,
0.05072454363107681,
-0.02079646661877632,
-0.05016626417636871,
-0.22436054050922394,
-0.12880563735961914,
-0.23391403257846832,
0.21499444544315338,
-0.41724714636802673,
0.2863388955593109,
-0.12938763201236725
] |
https://github.com/huggingface/datasets/issues/215 | NonMatchingSplitsSizesError when loading blog_authorship_corpus | The files provided by the authors are corrupted and the script seems to ignore the xml files that can't be decoded (it does `try:... except UnicodeDecodeError`). Maybe depending of the environment some files can be opened and some others don't but not sure why | Getting this error when i run `nlp.load_dataset('blog_authorship_corpus')`.
```
raise NonMatchingSplitsSizesError(str(bad_splits))
nlp.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train',
num_bytes=610252351, num_examples=532812, dataset_name='blog_authorship_corpus'),
'recorded': SplitInfo(name='train', num_bytes=616473500, num_examples=536323,
dataset_name='blog_authorship_corpus')}, {'expected': SplitInfo(name='validation',
num_bytes=37500394, num_examples=31277, dataset_name='blog_authorship_corpus'),
'recorded': SplitInfo(name='validation', num_bytes=30786661, num_examples=27766,
dataset_name='blog_authorship_corpus')}]
```
Upon checking it seems like there is a disparity between the information in `datasets/blog_authorship_corpus/dataset_infos.json` and what was downloaded. Although I can get away with this by passing `ignore_verifications=True` in `load_dataset`, I'm thinking doing so might give problems later on. | 44 | NonMatchingSplitsSizesError when loading blog_authorship_corpus
Getting this error when i run `nlp.load_dataset('blog_authorship_corpus')`.
```
raise NonMatchingSplitsSizesError(str(bad_splits))
nlp.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train',
num_bytes=610252351, num_examples=532812, dataset_name='blog_authorship_corpus'),
'recorded': SplitInfo(name='train', num_bytes=616473500, num_examples=536323,
dataset_name='blog_authorship_corpus')}, {'expected': SplitInfo(name='validation',
num_bytes=37500394, num_examples=31277, dataset_name='blog_authorship_corpus'),
'recorded': SplitInfo(name='validation', num_bytes=30786661, num_examples=27766,
dataset_name='blog_authorship_corpus')}]
```
Upon checking it seems like there is a disparity between the information in `datasets/blog_authorship_corpus/dataset_infos.json` and what was downloaded. Although I can get away with this by passing `ignore_verifications=True` in `load_dataset`, I'm thinking doing so might give problems later on.
The files provided by the authors are corrupted and the script seems to ignore the xml files that can't be decoded (it does `try:... except UnicodeDecodeError`). Maybe depending of the environment some files can be opened and some others don't but not sure why | [
-0.21565401554107666,
0.12347541749477386,
0.02768758311867714,
0.48136061429977417,
-0.011549796909093857,
0.09883328527212143,
-0.13197045028209686,
0.368587464094162,
-0.051696617156267166,
0.18515630066394806,
0.07529912889003754,
0.13688375055789948,
0.0854274183511734,
-0.1344742625951767,
-0.032237857580184937,
0.025299202650785446,
-0.09251761436462402,
0.19295048713684082,
0.038546979427337646,
-0.09255405515432358,
-0.17508351802825928,
0.4164965748786926,
-0.3340629041194916,
0.007659213617444038,
-0.21158044040203094,
-0.10277792066335678,
0.08266926556825638,
0.42487096786499023,
0.005414026323705912,
-0.3878880441188812,
0.017096592113375664,
-0.015492144040763378,
0.07717163115739822,
0.20357680320739746,
-0.00012377271195873618,
0.0525185763835907,
0.6025202870368958,
-0.26091188192367554,
-0.1516072303056717,
-0.24732530117034912,
-0.3983463943004608,
-0.34683603048324585,
-0.15325473248958588,
-0.30981194972991943,
0.04340599849820137,
-0.13742025196552277,
0.2702699303627014,
-0.21010403335094452,
0.30159056186676025,
0.3589801788330078,
0.10676798969507217,
0.17280273139476776,
-0.06732246279716492,
0.13837400078773499,
0.27825382351875305,
0.06059829518198967,
-0.0570705346763134,
-0.07430363446474075,
-0.030548973008990288,
-0.2105676829814911,
-0.09983694553375244,
0.315449595451355,
-0.2957828938961029,
-0.0047143627889454365,
0.17416712641716003,
0.09821538627147675,
0.37292414903640747,
-0.2041337490081787,
0.17276902496814728,
0.29544174671173096,
0.5296695232391357,
0.13004034757614136,
-0.21195365488529205,
-0.4479377269744873,
-0.15491227805614471,
0.11767438054084778,
0.406570702791214,
0.4266493022441864,
-0.20510593056678772,
-0.001026144833303988,
-0.26339849829673767,
-0.03466109558939934,
-0.19299134612083435,
0.06627262383699417,
0.2431638240814209,
0.24165230989456177,
0.08146397769451141,
0.06608057022094727,
-0.02012023515999317,
0.07188810408115387,
0.09668873250484467,
-0.2602754831314087,
-0.14188693463802338,
0.09542860090732574,
0.02983928471803665,
-0.07551855593919754,
-0.1188717633485794,
-0.07541241496801376,
0.20608890056610107,
0.20481730997562408,
0.3663545250892639,
0.019850287586450577,
0.20985274016857147,
0.13503974676132202,
0.33779966831207275,
-0.07288692891597748,
0.04885457083582878,
0.4268066883087158,
0.20002317428588867,
-0.035382770001888275,
0.08910421282052994,
0.013300194405019283,
0.22526982426643372,
-0.2736569046974182,
-0.15773625671863556,
0.17779506742954254,
0.2460043579339981,
-0.49686217308044434,
-0.4554830491542816,
0.14754199981689453,
-0.4238390028476715,
-0.27335819602012634,
-0.25034910440444946,
0.2649308145046234,
-0.30463868379592896,
0.36598578095436096,
-0.13079890608787537,
0.08853164315223694,
-0.3846733570098877,
-0.10326545685529709,
-0.13025517761707306,
0.1645718216896057,
-0.1479652374982834,
0.20909711718559265,
0.1741020530462265,
-0.145019069314003,
0.3679027557373047,
-0.17715829610824585,
-0.06438561528921127,
-0.2138000726699829,
0.3670298755168915,
-0.17966417968273163,
0.04696173220872879,
0.2502399981021881,
0.10622433573007584,
0.17181435227394104,
-0.11795493960380554,
-0.29181572794914246,
-0.28508177399635315,
0.0958578959107399,
-0.2795935273170471,
-0.3930393159389496,
0.11864642798900604,
0.14444133639335632,
-0.3303496837615967,
-0.04221566766500473,
0.07145185023546219,
0.04952345788478851,
0.41477522253990173,
-0.4803289473056793,
-0.09707175940275192,
-0.22827795147895813,
-0.15888851881027222,
-0.12854719161987305,
-0.2621927857398987,
0.6329423189163208,
0.1380792111158371,
-0.10230616480112076,
0.28261852264404297,
-0.029114263132214546,
0.5553827881813049,
0.35930100083351135,
0.06276608258485794,
0.12815912067890167,
-0.19397999346256256,
0.4745137095451355,
0.11766566336154938,
-0.41009238362312317,
-0.15080328285694122,
0.469144731760025,
-0.04133430868387222,
0.33927011489868164,
0.4302491545677185,
0.1024659276008606,
0.2844763398170471,
-0.17926837503910065,
-0.04245772585272789,
0.3146084249019623,
0.06322971731424332,
-0.028443235903978348,
-0.4521339535713196,
-0.14667294919490814,
0.43677598237991333,
0.10489198565483093,
0.18474280834197998,
0.010159454308450222,
0.1415490061044693,
0.43899327516555786,
0.31315895915031433,
-0.10660918802022934,
0.1054217591881752,
0.29825156927108765,
-0.44768062233924866,
0.16950981318950653,
0.10063289850950241,
-0.10743069648742676,
-0.34790775179862976,
-0.07296061515808105,
-0.3559921085834503,
0.14380663633346558,
0.0009278090437874198,
-0.22381563484668732,
-0.17331509292125702,
-0.39921310544013977,
-0.07715677469968796,
-0.0034570193383842707,
-0.022262156009674072,
0.3663993775844574,
0.2873927056789398,
0.15451759099960327,
-0.05905602499842644,
0.36677899956703186,
-0.03369626775383949,
0.18653330206871033,
-0.8968729376792908,
0.23864960670471191,
-0.15186764299869537,
-0.22171442210674286,
0.4185648560523987,
0.31582868099212646,
0.1912761777639389,
-0.19332437217235565,
-0.07729288190603256,
0.38104313611984253,
-0.1058674305677414,
0.47593438625335693,
-0.2341877520084381,
0.07466630637645721,
0.18912188708782196,
-0.3120644986629486,
-0.020261727273464203,
0.40568801760673523,
0.09887275099754333,
-0.11944020539522171,
-0.037329453974962234,
0.42273691296577454,
-0.3420756161212921,
0.19422751665115356,
0.14112389087677002,
-0.06570698320865631,
0.06375353783369064,
-0.2677146792411804,
-0.24543507397174835,
-0.5215456485748291,
0.622148871421814,
-0.06730565428733826,
-0.2690836191177368,
0.04679831489920616,
-0.25621870160102844,
0.025932686403393745,
0.572960615158081,
0.0020748134702444077,
-0.0830087661743164,
-0.06289917975664139,
0.06719481199979782,
-0.0630134642124176,
-0.018116872757673264,
0.18459869921207428,
0.45713457465171814,
0.0909477099776268,
-0.05557650700211525,
0.06711249053478241,
-0.13182002305984497,
-0.45842888951301575,
0.12814301252365112,
-0.04832801967859268,
-0.027972286567091942,
0.5724945068359375,
-0.011887671425938606,
0.06637749075889587,
-0.34778547286987305,
-0.02124849148094654,
0.1145632416009903,
0.13852639496326447,
-0.332579106092453,
-0.0929337814450264,
-0.3299711048603058,
-0.40572047233581543,
-0.3795692026615143,
-0.07616912573575974,
-0.1871168315410614,
-0.3854968547821045,
0.18350407481193542,
0.21754232048988342,
-0.25006765127182007,
0.028112785890698433,
-0.19778597354888916,
0.0052078599110245705,
-0.3419666290283203,
0.048854511231184006,
-0.13127964735031128,
-0.1937546581029892,
-0.21058011054992676,
-0.06514111906290054,
0.2704777121543884,
0.3898126184940338,
0.2202955186367035,
-0.5454664826393127,
-0.21008841693401337,
-0.04476914182305336,
-0.20753507316112518,
0.020225567743182182,
-0.05990850552916527,
-0.17760859429836273,
0.0929604023694992,
-0.15598039329051971,
0.5214745402336121,
-0.16104117035865784,
0.14776381850242615,
-0.1287199705839157,
-0.2708491086959839,
0.12490400671958923,
0.2216656357049942,
-0.14447808265686035,
-0.22062905132770538,
-0.5865996479988098,
-0.17907948791980743,
-0.45689499378204346,
-0.09897736459970474,
0.28189438581466675,
0.29488658905029297,
0.042354561388492584,
-0.16215108335018158,
-0.10634370148181915,
-0.21439386904239655,
0.35616421699523926,
-0.16313163936138153,
0.0558563768863678,
0.32341763377189636,
-0.1839475929737091,
-0.27022507786750793,
-0.02170742303133011,
0.13760590553283691,
-0.05147795006632805,
0.14158597588539124,
-0.4621357023715973,
-0.05968309938907623,
-0.18343868851661682,
-0.15344801545143127,
-0.2829676568508148,
-0.11173224449157715,
0.4699307680130005,
-0.034130048006772995,
-0.004535318352282047,
-0.05661609396338463,
-0.2683965265750885,
0.01701795868575573,
0.05479617044329643,
0.30072423815727234,
-0.1281159222126007,
0.233890101313591,
-0.09957699477672577,
0.416090190410614,
0.5284242033958435,
0.18462400138378143,
-0.06775511056184769,
0.07574251294136047,
0.27277079224586487,
0.1663350760936737,
-0.01663486286997795,
0.33610016107559204,
-0.02377261221408844,
-0.09101960808038712,
0.43315309286117554,
-0.002345995046198368,
-0.09685918688774109,
-0.14553633332252502,
-0.2459462583065033,
-0.34901490807533264,
-0.19343797862529755,
0.14629146456718445,
-0.1666954904794693,
0.14870765805244446,
0.220889613032341,
0.3066443204879761,
-0.038720209151506424,
-0.5155572295188904,
0.02454150840640068,
0.4532243609428406,
0.3203480541706085,
0.1850072145462036,
-0.47967514395713806,
0.09125714004039764,
-0.4247419536113739,
0.29793354868888855,
0.14495442807674408,
0.31214243173599243,
-0.18283236026763916,
-0.1499032825231552,
0.10623250156641006,
-0.25153082609176636,
0.23255686461925507,
-0.41618192195892334,
0.019843285903334618,
0.059046920388936996,
-0.00655188737437129,
-0.3043077290058136,
-0.1795511543750763,
-0.26142290234565735,
0.4053453505039215,
0.38657477498054504,
0.43123385310173035,
-0.38310506939888,
-0.16495122015476227,
0.09735114127397537,
0.0051356954500079155,
-0.10864117741584778,
-0.0825342983007431,
-0.2994450032711029,
-0.36759141087532043,
-0.2296072095632553,
-0.29456907510757446,
-0.08849712461233139,
0.2692148685455322,
-0.09233559668064117,
-0.02708537131547928,
0.03468611463904381,
0.10009180009365082,
0.36093422770500183,
0.27080339193344116,
0.08658657222986221,
-0.10598348826169968,
0.07422270625829697,
0.1566508561372757,
0.573414146900177,
0.11814223229885101,
0.5895775556564331,
0.0689941942691803,
-0.18111085891723633,
0.024747679010033607,
-0.43041250109672546,
0.19162815809249878,
0.4658266305923462,
0.08184269815683365,
0.04430010914802551,
0.12616148591041565,
-0.02420041151344776,
-0.44463998079299927,
-0.05971977114677429,
0.16697092354297638,
-0.08109491318464279,
-0.40408608317375183,
-0.42042413353919983,
0.2781202793121338,
0.20545455813407898,
-0.13481971621513367,
-0.16485299170017242,
-0.13094355165958405,
-0.2597300112247467,
0.3258017897605896,
0.1342848390340805,
1.0393661260604858,
0.2653285264968872,
0.07107457518577576,
-0.06675048172473907,
-0.1936637908220291,
0.7017491459846497,
-0.23345676064491272,
0.46105659008026123,
-0.45272964239120483,
-0.18189312517642975,
-0.09579308331012726,
-0.18577440083026886,
0.28010880947113037,
0.13668407499790192,
-0.21743763983249664,
0.33872756361961365,
0.20434294641017914,
-0.02720567025244236,
-0.1010570377111435,
0.47604668140411377,
-0.2647894024848938,
-0.03463757783174515,
-0.10286534577608109,
-0.0529908612370491,
-0.1834336519241333,
0.45682984590530396,
-0.0012245166581124067,
-0.1371757984161377,
-0.16188232600688934,
-0.2715011239051819,
-0.354420006275177,
0.2869674265384674,
0.11578213423490524,
-0.07829244434833527,
0.18359088897705078,
-0.19995839893817902,
0.05459534749388695,
0.20606929063796997,
0.22772039473056793,
-0.08420244604349136,
-0.038651060312986374,
-0.09670519828796387,
-0.18037466704845428,
-0.19949793815612793,
0.18710416555404663,
0.125250443816185,
0.34723344445228577,
-0.11429061740636826,
0.06230555474758148,
0.18676631152629852,
-0.15038475394248962,
-0.27849075198173523,
-0.3265245854854584,
0.020360851660370827,
-0.22256635129451752,
-0.18651843070983887,
-0.1451810598373413,
0.01597239263355732,
-0.1669837385416031,
-0.04724081978201866,
-0.0031716518569737673,
-0.08467763662338257,
-0.09633992612361908,
0.19067256152629852,
-0.1776459515094757,
-0.45024290680885315,
-0.12551544606685638,
0.27839425206184387,
0.36409687995910645,
-0.03017013520002365,
0.4310382902622223,
-0.09358744323253632,
-0.1244845911860466,
-0.19571980834007263,
-0.15213148295879364,
-0.2345649003982544,
-0.4015832245349884,
0.17225492000579834,
-0.20614074170589447,
-0.10457778722047806,
0.17576409876346588,
0.2439630925655365,
0.08783239871263504,
0.1960270255804062,
-0.12787173688411713,
-0.6653311848640442,
0.12647445499897003,
0.1522250920534134,
0.21884332597255707,
-0.019053328782320023,
-0.04890180751681328,
0.3229840397834778,
-0.23107916116714478,
0.16286714375019073,
-0.18060222268104553,
-0.07511352747678757,
-0.3088241517543793,
0.3002742528915405,
0.16600359976291656,
0.04076988995075226,
-0.1094680204987526,
0.02919076196849346,
-0.13556674122810364,
0.2487291544675827,
-0.17746049165725708,
0.03926829993724823,
-0.14118988811969757,
0.22275473177433014,
0.15719321370124817,
-0.05965344235301018,
-0.10897043347358704,
0.019748637452721596,
0.09330209344625473,
-0.021798312664031982,
0.03392118215560913,
0.2995970547199249,
-0.038626864552497864,
0.34890016913414,
-0.3989136219024658,
0.1466968059539795,
-0.09037531167268753,
0.2649857699871063,
-0.34620028734207153,
0.38974815607070923,
-0.20149488747119904,
0.24060320854187012,
-0.03934533894062042,
0.022920260205864906,
-0.09879720956087112,
-0.03177723288536072,
0.12119623273611069,
0.06413549929857254,
0.315273642539978,
-0.15873907506465912,
0.21573176980018616,
0.2088230401277542,
-0.03733917698264122,
0.7320030331611633,
-0.12561577558517456,
-0.11623415350914001,
0.062017638236284256,
0.05478929355740547,
-0.11067041754722595,
-0.017983410507440567,
0.18334680795669556,
-0.08880655467510223,
-0.08237118273973465,
0.3635847568511963,
0.194892019033432,
-0.2530847489833832,
-0.18858075141906738,
0.10765539109706879,
0.4120692312717438,
-0.0813135877251625,
0.09422293305397034,
0.23868407309055328,
-0.011601987294852734,
0.01793307065963745,
0.19760923087596893,
-0.1533752977848053,
0.07994996756315231,
0.11493460088968277,
0.09460373222827911,
0.5233206748962402,
0.14145047962665558,
0.43510258197784424,
-0.23179736733436584,
-0.12785881757736206,
0.018450118601322174,
0.6700659990310669,
0.19276104867458344,
0.48585206270217896,
0.2512132525444031,
0.3217867910861969,
-0.29630643129348755,
0.1505877822637558,
-0.2669786214828491,
-0.17418330907821655,
-0.03776175528764725,
-0.12803567945957184,
-0.46970853209495544,
-0.12692983448505402,
-0.20043180882930756,
0.06337621062994003,
-0.07095912098884583,
0.2730638086795807,
0.31693270802497864,
-0.055920131504535675,
-0.19864106178283691,
-0.29472535848617554,
0.1727561056613922,
-0.15478503704071045,
0.18281325697898865,
-0.32272830605506897,
0.27617892622947693,
0.10261502861976624,
-0.03287234902381897,
0.3759273886680603,
0.5440004467964172,
0.6268024444580078,
0.4050436317920685,
-0.10989496111869812,
-0.12854284048080444,
-0.054338112473487854,
0.047856852412223816,
0.1882709115743637,
0.8659355044364929,
0.21049346029758453,
-0.1732780635356903,
0.3700051009654999,
-0.03926475718617439,
-0.08896417915821075,
0.3375840485095978,
0.1680564433336258,
-0.04063244163990021,
0.04704640805721283,
0.38823020458221436,
-0.19839505851268768,
-0.0021035363897681236,
-0.02241436205804348,
0.03416895121335983,
-0.41420626640319824,
-0.26651227474212646,
0.17878316342830658,
-0.14471091330051422,
0.28021082282066345,
-0.1523040235042572,
0.019083654507994652,
-0.1773102879524231,
0.5529254674911499,
0.47746336460113525,
-0.17004342377185822,
-0.09665429592132568,
-0.022315125912427902,
-0.5047853589057922,
0.5072601437568665,
-0.4191427528858185,
-0.31876516342163086,
-0.24322648346424103,
0.37428924441337585,
-0.1979198306798935,
0.26287856698036194,
-0.09300903975963593,
0.44354283809661865,
-0.13743484020233154,
0.10049103200435638,
-0.2129071205854416,
-0.019861534237861633,
0.014264900237321854,
-0.15694878995418549,
-0.09848254919052124,
-0.2454882711172104,
0.2524292767047882,
0.04092567041516304,
-0.07209348678588867,
-0.010972030460834503,
0.1572076827287674,
-0.0024544803891330957,
0.27439460158348083,
-0.026172082871198654,
0.47785013914108276,
0.4452592730522156,
-0.2909838557243347,
-0.213938370347023,
-0.11031963676214218,
-0.2303617149591446,
-0.28157666325569153,
0.40110015869140625,
0.22582018375396729,
0.3603357970714569,
-0.20492379367351532,
0.5031099319458008,
-0.09256667643785477,
0.2626861035823822,
-0.15710794925689697,
0.1450565904378891,
-0.21884819865226746,
0.03149935230612755,
-0.23324978351593018,
-0.01633157581090927,
0.1572694331407547,
0.45763328671455383,
0.18879956007003784,
-0.1253947615623474,
-0.23119796812534332,
-0.3733322024345398,
0.4127681851387024,
-0.3910878300666809,
-0.07988296449184418,
-0.017233625054359436,
0.193974569439888,
0.1286228597164154,
-0.041532523930072784,
-0.6443731784820557,
-0.059588201344013214,
0.22831957042217255,
-0.11385001242160797,
0.029822824522852898,
-0.0664222463965416,
-0.1520504504442215,
-0.35204046964645386,
-0.03435492515563965,
-0.25079888105392456,
0.2707359790802002,
-0.41925013065338135,
0.40055155754089355,
-0.10350919514894485
] |
https://github.com/huggingface/datasets/issues/215 | NonMatchingSplitsSizesError when loading blog_authorship_corpus | Feel free to do `ignore_verifications=True` for now... The verifications only include a check on the checksums of the downloaded files, and a check on the number of examples in each splits. | Getting this error when i run `nlp.load_dataset('blog_authorship_corpus')`.
```
raise NonMatchingSplitsSizesError(str(bad_splits))
nlp.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train',
num_bytes=610252351, num_examples=532812, dataset_name='blog_authorship_corpus'),
'recorded': SplitInfo(name='train', num_bytes=616473500, num_examples=536323,
dataset_name='blog_authorship_corpus')}, {'expected': SplitInfo(name='validation',
num_bytes=37500394, num_examples=31277, dataset_name='blog_authorship_corpus'),
'recorded': SplitInfo(name='validation', num_bytes=30786661, num_examples=27766,
dataset_name='blog_authorship_corpus')}]
```
Upon checking it seems like there is a disparity between the information in `datasets/blog_authorship_corpus/dataset_infos.json` and what was downloaded. Although I can get away with this by passing `ignore_verifications=True` in `load_dataset`, I'm thinking doing so might give problems later on. | 31 | NonMatchingSplitsSizesError when loading blog_authorship_corpus
Getting this error when i run `nlp.load_dataset('blog_authorship_corpus')`.
```
raise NonMatchingSplitsSizesError(str(bad_splits))
nlp.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train',
num_bytes=610252351, num_examples=532812, dataset_name='blog_authorship_corpus'),
'recorded': SplitInfo(name='train', num_bytes=616473500, num_examples=536323,
dataset_name='blog_authorship_corpus')}, {'expected': SplitInfo(name='validation',
num_bytes=37500394, num_examples=31277, dataset_name='blog_authorship_corpus'),
'recorded': SplitInfo(name='validation', num_bytes=30786661, num_examples=27766,
dataset_name='blog_authorship_corpus')}]
```
Upon checking it seems like there is a disparity between the information in `datasets/blog_authorship_corpus/dataset_infos.json` and what was downloaded. Although I can get away with this by passing `ignore_verifications=True` in `load_dataset`, I'm thinking doing so might give problems later on.
Feel free to do `ignore_verifications=True` for now... The verifications only include a check on the checksums of the downloaded files, and a check on the number of examples in each splits. | [
-0.15917642414569855,
0.061383508145809174,
0.06137014180421829,
0.398507297039032,
-0.09111880511045456,
0.06813999265432358,
-0.15415650606155396,
0.3743869960308075,
-0.05398913845419884,
0.12912297248840332,
0.09491048753261566,
0.1696774959564209,
0.05089116469025612,
-0.0702366828918457,
-0.029941456392407417,
-0.031388770788908005,
-0.046267908066511154,
0.20410314202308655,
0.043887313455343246,
0.0010298172710463405,
-0.019637158140540123,
0.4404020607471466,
-0.30175015330314636,
-0.022966835647821426,
-0.24699321389198303,
-0.1683318167924881,
-0.0421302430331707,
0.32819804549217224,
0.0039549521170556545,
-0.3751758933067322,
0.24395844340324402,
-0.07514743506908417,
0.13529181480407715,
0.1908106803894043,
-0.00012187100219307467,
-0.013405069708824158,
0.5785958766937256,
-0.2156343162059784,
-0.20625559985637665,
-0.25492221117019653,
-0.40470582246780396,
-0.3622804284095764,
-0.08360158652067184,
-0.23551887273788452,
-0.02168651670217514,
-0.05503878369927406,
0.1720564216375351,
-0.08597991615533829,
0.27252933382987976,
0.2854222059249878,
0.11910389363765717,
0.15230579674243927,
-0.11947901546955109,
0.031291037797927856,
0.13146859407424927,
0.11148032546043396,
-0.03822566196322441,
-0.09602155536413193,
-0.08761424571275711,
-0.286239892244339,
-0.1037815734744072,
0.4399673044681549,
-0.19715183973312378,
0.1551973521709442,
0.22587355971336365,
0.11542968451976776,
0.4008733928203583,
-0.11456120759248734,
0.03758152201771736,
0.39043542742729187,
0.509495198726654,
0.16033294796943665,
-0.2086896300315857,
-0.5066434144973755,
-0.05045630410313606,
0.19382117688655853,
0.4156515598297119,
0.36488455533981323,
-0.23910050094127655,
0.008471859619021416,
-0.41110968589782715,
-0.07393115758895874,
-0.09050969034433365,
0.10174065828323364,
0.266836017370224,
0.198568195104599,
0.11837147921323776,
0.0067394874058663845,
0.12967172265052795,
-0.04109881445765495,
0.11463280767202377,
-0.2442874163389206,
-0.1399921178817749,
0.11282744258642197,
-0.18387793004512787,
-0.19307401776313782,
-0.1448514759540558,
-0.01740679144859314,
0.2120877057313919,
0.21555694937705994,
0.35182899236679077,
-0.05405338853597641,
0.2256540209054947,
0.11196880787611008,
0.42831718921661377,
0.047906987369060516,
-0.01073665451258421,
0.5196455717086792,
0.08321744203567505,
0.0033719190396368504,
0.1151566430926323,
0.0596730038523674,
0.2659810185432434,
-0.21909482777118683,
-0.145186185836792,
0.11991623789072037,
0.15946318209171295,
-0.5667433738708496,
-0.43986237049102783,
0.10815704613924026,
-0.561587929725647,
-0.2434341162443161,
-0.09248384833335876,
0.17566236853599548,
-0.3614128530025482,
0.33200445771217346,
-0.15387791395187378,
0.04779895022511482,
-0.36163780093193054,
-0.059446096420288086,
-0.20667234063148499,
0.17067883908748627,
-0.197499617934227,
0.2053249329328537,
0.2014610469341278,
-0.1554442048072815,
0.40264183282852173,
-0.10782936215400696,
-0.05867201089859009,
-0.19689762592315674,
0.40113475918769836,
-0.10814101248979568,
0.020010706037282944,
0.15724466741085052,
-0.029180776327848434,
0.16998538374900818,
-0.0008437237702310085,
-0.21693286299705505,
-0.3886170983314514,
0.07954514026641846,
-0.22302435338497162,
-0.5368485450744629,
0.10468985885381699,
0.1530231088399887,
-0.4432888925075531,
-0.061291828751564026,
0.09627249091863632,
0.2109624445438385,
0.36438432335853577,
-0.3324517011642456,
-0.09742403030395508,
-0.2202012687921524,
-0.12947231531143188,
-0.05456845834851265,
-0.2055286467075348,
0.495089590549469,
0.14020076394081116,
-0.26605287194252014,
0.13045290112495422,
-0.018281934782862663,
0.5335456132888794,
0.34930896759033203,
0.03433426097035408,
0.09644033014774323,
-0.19258925318717957,
0.48758551478385925,
0.13571053743362427,
-0.35429733991622925,
-0.16301192343235016,
0.5454868078231812,
0.028682762756943703,
0.280705064535141,
0.25120460987091064,
0.11916979402303696,
0.194296732544899,
-0.09376254677772522,
0.010771316476166248,
0.40808701515197754,
-0.02160259708762169,
0.03519224002957344,
-0.45149216055870056,
-0.30968841910362244,
0.41489920020103455,
0.20669551193714142,
0.11799626052379608,
-0.04226292297244072,
-0.0019411847461014986,
0.4965001940727234,
0.3046287000179291,
-0.13594861328601837,
0.05396599322557449,
0.2919708490371704,
-0.35402747988700867,
0.1288684606552124,
0.038535282015800476,
-0.11504468321800232,
-0.3697335422039032,
-0.02302205190062523,
-0.2869815230369568,
0.2818145453929901,
0.10698974132537842,
-0.258402556180954,
-0.1996176838874817,
-0.41557472944259644,
-0.025225773453712463,
-0.029962636530399323,
0.010713798925280571,
0.2815219759941101,
0.3974573612213135,
0.05119401589035988,
0.06851079314947128,
0.4284549951553345,
-0.06218862161040306,
0.1739072948694229,
-0.7967955470085144,
0.23201744258403778,
-0.11876425892114639,
-0.2111770510673523,
0.5127648711204529,
0.34133437275886536,
0.22369955480098724,
-0.16931086778640747,
-0.09573185443878174,
0.43656089901924133,
-0.10373696684837341,
0.4019586145877838,
-0.17406775057315826,
0.010552458465099335,
0.20788675546646118,
-0.2954590320587158,
0.018218237906694412,
0.37473738193511963,
-0.028403956443071365,
-0.0686894878745079,
-0.1335941106081009,
0.41676682233810425,
-0.33828768134117126,
0.16545294225215912,
0.06876242160797119,
0.01500984188169241,
0.07816498726606369,
-0.23879607021808624,
-0.19139553606510162,
-0.4554651081562042,
0.6415627598762512,
-0.09513697773218155,
-0.32226404547691345,
0.04229278862476349,
-0.20106367766857147,
0.03303343057632446,
0.4396529197692871,
0.021865177899599075,
-0.09082602709531784,
-0.026410093531012535,
0.02838948927819729,
-0.1608663946390152,
0.09572191536426544,
0.27505430579185486,
0.5138393044471741,
0.12376869469881058,
0.02331429347395897,
0.015096129849553108,
-0.1677720993757248,
-0.3314586579799652,
0.12296800315380096,
-0.06293948739767075,
0.027277177199721336,
0.367068350315094,
-0.0033676510211080313,
-0.03191020339727402,
-0.31080392003059387,
-0.012369411997497082,
0.15956208109855652,
0.24881504476070404,
-0.32820889353752136,
-0.13419097661972046,
-0.3583880662918091,
-0.4044026732444763,
-0.34532350301742554,
-0.13506588339805603,
-0.2826969623565674,
-0.3694407641887665,
0.2020638883113861,
0.19996485114097595,
-0.16825969517230988,
0.13886895775794983,
-0.16680948436260223,
0.04333563148975372,
-0.315635621547699,
-0.052826713770627975,
-0.01851593516767025,
-0.2104286253452301,
-0.27342844009399414,
-0.026242166757583618,
0.22404174506664276,
0.42671751976013184,
0.24252179265022278,
-0.3922346532344818,
-0.15776924788951874,
0.046740736812353134,
-0.2580871880054474,
0.06250361353158951,
-0.05618521198630333,
-0.1513657569885254,
0.176835834980011,
-0.1386253833770752,
0.3756524324417114,
-0.2218140959739685,
0.10164012014865875,
-0.18995614349842072,
-0.3374042212963104,
0.027316864579916,
0.17911215126514435,
0.035421811044216156,
-0.19235478341579437,
-0.5341881513595581,
-0.2685713768005371,
-0.36351513862609863,
-0.062366124242544174,
0.28557708859443665,
0.24182595312595367,
0.03172792121767998,
-0.12044011056423187,
-0.1327032595872879,
-0.17049168050289154,
0.2503781318664551,
-0.30170774459838867,
-0.05888936296105385,
0.24042053520679474,
-0.09786761552095413,
-0.16751530766487122,
-0.03147110342979431,
0.0028390015941113234,
-0.050665728747844696,
0.1228749006986618,
-0.5468326210975647,
-0.10958725214004517,
-0.20560301840305328,
-0.07945823669433594,
-0.32694217562675476,
-0.2575344741344452,
0.5263427495956421,
-0.07347576320171356,
-0.024189162999391556,
0.013537401333451271,
-0.3449534475803375,
0.06836891919374466,
0.10190653055906296,
0.5138316750526428,
-0.16110685467720032,
0.18403857946395874,
-0.01432077493518591,
0.5651076436042786,
0.5774586796760559,
0.07665687799453735,
-0.11549961566925049,
0.17679162323474884,
0.09244593977928162,
0.17404836416244507,
0.009828254580497742,
0.37702643871307373,
0.022528626024723053,
-0.10745576024055481,
0.41577863693237305,
0.08360524475574493,
-0.19980119168758392,
-0.11438917368650436,
-0.1578511744737625,
-0.3104238510131836,
-0.18710289895534515,
0.16156257688999176,
-0.2299748957157135,
0.2006320059299469,
0.20180648565292358,
0.23883360624313354,
-0.18510375916957855,
-0.529470682144165,
-0.012654370628297329,
0.35910728573799133,
0.22725710272789001,
0.17685940861701965,
-0.47010311484336853,
0.1427350640296936,
-0.4302377998828888,
0.2958557903766632,
0.21121430397033691,
0.2849103808403015,
-0.21085771918296814,
-0.15540455281734467,
0.08103758841753006,
-0.19880680739879608,
0.2955510914325714,
-0.4056420922279358,
-0.015020293183624744,
-0.04621114209294319,
-0.03189621493220329,
-0.34224215149879456,
-0.20172236859798431,
-0.13815321028232574,
0.37310779094696045,
0.5086649060249329,
0.42138606309890747,
-0.427228718996048,
-0.12459439039230347,
0.1632818728685379,
-0.05940469726920128,
-0.1309102475643158,
-0.16943684220314026,
-0.2525317966938019,
-0.33338987827301025,
-0.17163018882274628,
-0.14729276299476624,
-0.1254294365644455,
0.3001166582107544,
-0.021955857053399086,
-0.0020838628988713026,
0.14473280310630798,
0.1252201348543167,
0.3355758488178253,
0.25718241930007935,
0.1685250848531723,
-0.03306202590465546,
0.1076679453253746,
0.2788695991039276,
0.5404441356658936,
0.08358272910118103,
0.5131449699401855,
0.10595840215682983,
-0.05891048163175583,
-0.025091810151934624,
-0.30476656556129456,
0.07861349731683731,
0.4301791489124298,
0.17479099333286285,
0.08524948358535767,
0.1424744576215744,
-0.02743460424244404,
-0.4631119668483734,
-0.02574414201080799,
0.11071287095546722,
-0.07656677067279816,
-0.3716815412044525,
-0.39093077182769775,
0.2588399648666382,
0.2693788409233093,
-0.14291086792945862,
-0.1460685282945633,
-0.19557860493659973,
-0.25535696744918823,
0.23188114166259766,
0.1594075858592987,
0.9950314164161682,
0.2600896656513214,
-0.026020972058176994,
-0.027608996257185936,
-0.22299738228321075,
0.8679139614105225,
-0.2555353343486786,
0.4108973741531372,
-0.4282154440879822,
-0.25126856565475464,
-0.062348391860723495,
-0.20891457796096802,
0.15235067903995514,
0.1181776151061058,
-0.2996962070465088,
0.33157140016555786,
0.26875633001327515,
-0.011666422709822655,
-0.10332194715738297,
0.44522324204444885,
-0.24535927176475525,
-0.07309851050376892,
-0.17734752595424652,
0.014801540412008762,
-0.2884224057197571,
0.500841498374939,
-0.017722036689519882,
-0.12158556282520294,
-0.21846461296081543,
-0.21833407878875732,
-0.41547688841819763,
0.2596205770969391,
0.18067559599876404,
0.0051093995571136475,
0.2780002951622009,
-0.18391957879066467,
-0.0008590386132709682,
0.09157249331474304,
0.3283587694168091,
-0.18273353576660156,
-0.17481935024261475,
0.00697441678494215,
-0.2024378478527069,
-0.13968564569950104,
0.19291868805885315,
0.07448702305555344,
0.3397170603275299,
-0.12549328804016113,
0.001391140278428793,
0.05643019825220108,
-0.12228953838348389,
-0.33007746934890747,
-0.30359965562820435,
-0.11330465972423553,
-0.20215852558612823,
-0.18769250810146332,
-0.08816827088594437,
0.07827674597501755,
-0.10347343236207962,
-0.06149626523256302,
0.040477387607097626,
-0.040233366191387177,
-0.21182577311992645,
0.2360779047012329,
-0.09049473702907562,
-0.3304221034049988,
-0.11680646240711212,
0.39779970049858093,
0.36702463030815125,
-0.03411328047513962,
0.44290393590927124,
-0.10410823673009872,
-0.0931103378534317,
-0.2093406617641449,
-0.12918995320796967,
-0.31093543767929077,
-0.3431040048599243,
0.1643279790878296,
-0.26846233010292053,
-0.08667048811912537,
0.19470739364624023,
0.2930179834365845,
0.2384098321199417,
0.3419272005558014,
-0.0016043860232457519,
-0.5291133522987366,
0.016075296327471733,
0.1371033489704132,
-0.024978162720799446,
0.07527948170900345,
-0.14363142848014832,
0.42183154821395874,
-0.20619715750217438,
0.24041719734668732,
-0.21923060715198517,
-0.08254670351743698,
-0.40393540263175964,
0.3224554657936096,
0.11327142268419266,
-0.10176239162683487,
-0.0388985238969326,
0.01586868241429329,
-0.11925472319126129,
0.21726550161838531,
-0.1423013061285019,
0.0013302526203915477,
-0.11548487097024918,
0.20137113332748413,
0.14739491045475006,
-0.08197441697120667,
-0.10277985036373138,
0.11400677263736725,
0.07142945379018784,
0.029016761109232903,
-0.05398613214492798,
0.20699386298656464,
-0.022113915532827377,
0.32321402430534363,
-0.3484605848789215,
0.04232333227992058,
-0.06938454508781433,
0.23659799993038177,
-0.3490242660045624,
0.293660044670105,
-0.09470091760158539,
0.219862163066864,
-0.08393599092960358,
-0.00015817016537766904,
-0.03363383188843727,
0.01333015225827694,
0.08372693508863449,
0.07243602722883224,
0.1884957104921341,
-0.17304107546806335,
0.10398256033658981,
0.22139397263526917,
0.021714292466640472,
0.5436682105064392,
-0.0795350968837738,
-0.10975386947393417,
0.07915380597114563,
0.10070692002773285,
-0.12908579409122467,
-0.03160998970270157,
0.25471052527427673,
-0.03046266734600067,
-0.12914413213729858,
0.35050299763679504,
0.1402948945760727,
-0.16056570410728455,
-0.20050998032093048,
0.10796469449996948,
0.39615774154663086,
-0.13299110531806946,
0.12379790097475052,
0.2921995222568512,
-0.16179782152175903,
-0.01571018621325493,
0.23938395082950592,
-0.2638281285762787,
0.13483279943466187,
0.010987630113959312,
0.04418566823005676,
0.46133697032928467,
0.09753625094890594,
0.3920549154281616,
-0.14451418817043304,
-0.1371356099843979,
-0.05386039614677429,
0.7125882506370544,
0.3032742440700531,
0.40754806995391846,
0.23052401840686798,
0.47541218996047974,
-0.3398907780647278,
-0.0037843806203454733,
-0.3541964888572693,
-0.18464308977127075,
-0.03735315427184105,
-0.10190173238515854,
-0.5155580639839172,
-0.10836496949195862,
-0.23224826157093048,
0.12218505144119263,
-0.08818651735782623,
0.1432598978281021,
0.40934309363365173,
-0.07159369438886642,
-0.18918538093566895,
-0.47873279452323914,
0.05307810381054878,
0.014808965846896172,
0.1754540503025055,
-0.32879117131233215,
0.15796248614788055,
0.03684285283088684,
-0.16267044842243195,
0.39498817920684814,
0.5192055106163025,
0.5169352889060974,
0.3021613657474518,
-0.14195597171783447,
-0.21230392158031464,
0.05457695573568344,
0.15161584317684174,
0.23794211447238922,
0.7681576013565063,
0.27525079250335693,
-0.2857534885406494,
0.39371567964553833,
-0.051301226019859314,
-0.08288413286209106,
0.4031171500682831,
0.05604388937354088,
-0.06899291276931763,
-0.026875684037804604,
0.4426218271255493,
-0.13705334067344666,
0.11488308012485504,
-0.00470346212387085,
0.1161603108048439,
-0.2987504005432129,
-0.3102472722530365,
0.1035744771361351,
-0.17181965708732605,
0.28894665837287903,
-0.07533513009548187,
0.03425164520740509,
-0.31278860569000244,
0.5959124565124512,
0.43539947271347046,
-0.21247105300426483,
-0.21041014790534973,
-0.11609246581792831,
-0.49980127811431885,
0.3454269468784332,
-0.4612213373184204,
-0.23284493386745453,
-0.1896781325340271,
0.4772252142429352,
-0.2099054753780365,
0.29365774989128113,
-0.17123912274837494,
0.4648703634738922,
-0.1285225749015808,
0.07755865156650543,
-0.2698145806789398,
-0.05188245326280594,
-0.08174449950456619,
-0.19109459221363068,
0.02198435179889202,
-0.22614046931266785,
0.19919051229953766,
0.10465013980865479,
-0.0841168537735939,
0.03213845193386078,
0.05748956650495529,
0.026997288689017296,
0.4276266396045685,
-0.08215106278657913,
0.5023900270462036,
0.4290030002593994,
-0.1451624631881714,
-0.21732625365257263,
-0.08768947422504425,
-0.2888009548187256,
-0.2974666357040405,
0.37864765524864197,
0.1362176090478897,
0.42173048853874207,
-0.17510412633419037,
0.6471746563911438,
-0.1287108063697815,
0.32008203864097595,
0.019591232761740685,
0.011847538873553276,
-0.3271252512931824,
-0.0376971997320652,
-0.21452462673187256,
0.02605794370174408,
0.1519400179386139,
0.4710058569908142,
0.17633019387722015,
-0.01744754984974861,
-0.18155914545059204,
-0.3055362105369568,
0.4234530031681061,
-0.319659948348999,
0.034292809665203094,
-0.02669534645974636,
0.18106958270072937,
0.20320938527584076,
-0.11101235449314117,
-0.6931036710739136,
-0.07680728286504745,
0.29315418004989624,
-0.11016219854354858,
0.08574385195970535,
-0.035791534930467606,
-0.07137186080217361,
-0.2900961637496948,
-0.022308126091957092,
-0.22079923748970032,
0.2341662496328354,
-0.3640001118183136,
0.3844623267650604,
-0.08561214059591293
] |
https://github.com/huggingface/datasets/issues/215 | NonMatchingSplitsSizesError when loading blog_authorship_corpus | I'm getting this same issue when loading the `imdb` corpus via `dataset = load_dataset("imdb")`. When I try `ignore_verifications=True`, no examples are read into the `train` portion of the dataset. | Getting this error when i run `nlp.load_dataset('blog_authorship_corpus')`.
```
raise NonMatchingSplitsSizesError(str(bad_splits))
nlp.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train',
num_bytes=610252351, num_examples=532812, dataset_name='blog_authorship_corpus'),
'recorded': SplitInfo(name='train', num_bytes=616473500, num_examples=536323,
dataset_name='blog_authorship_corpus')}, {'expected': SplitInfo(name='validation',
num_bytes=37500394, num_examples=31277, dataset_name='blog_authorship_corpus'),
'recorded': SplitInfo(name='validation', num_bytes=30786661, num_examples=27766,
dataset_name='blog_authorship_corpus')}]
```
Upon checking it seems like there is a disparity between the information in `datasets/blog_authorship_corpus/dataset_infos.json` and what was downloaded. Although I can get away with this by passing `ignore_verifications=True` in `load_dataset`, I'm thinking doing so might give problems later on. | 29 | NonMatchingSplitsSizesError when loading blog_authorship_corpus
Getting this error when i run `nlp.load_dataset('blog_authorship_corpus')`.
```
raise NonMatchingSplitsSizesError(str(bad_splits))
nlp.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train',
num_bytes=610252351, num_examples=532812, dataset_name='blog_authorship_corpus'),
'recorded': SplitInfo(name='train', num_bytes=616473500, num_examples=536323,
dataset_name='blog_authorship_corpus')}, {'expected': SplitInfo(name='validation',
num_bytes=37500394, num_examples=31277, dataset_name='blog_authorship_corpus'),
'recorded': SplitInfo(name='validation', num_bytes=30786661, num_examples=27766,
dataset_name='blog_authorship_corpus')}]
```
Upon checking it seems like there is a disparity between the information in `datasets/blog_authorship_corpus/dataset_infos.json` and what was downloaded. Although I can get away with this by passing `ignore_verifications=True` in `load_dataset`, I'm thinking doing so might give problems later on.
I'm getting this same issue when loading the `imdb` corpus via `dataset = load_dataset("imdb")`. When I try `ignore_verifications=True`, no examples are read into the `train` portion of the dataset. | [
-0.1060907244682312,
0.17192859947681427,
0.0861470177769661,
0.37152794003486633,
-0.07061786204576492,
0.1975201964378357,
-0.08851514011621475,
0.35896268486976624,
-0.07059378921985626,
0.13236771523952484,
0.010963981971144676,
0.19261105358600616,
0.019732648506760597,
-0.13543331623077393,
-0.06135211139917374,
0.0010896628955379128,
-0.04968471825122833,
0.151227667927742,
0.08074229955673218,
-0.0007665433222427964,
-0.019083088263869286,
0.43668171763420105,
-0.3507993817329407,
-0.06492386758327484,
-0.27976810932159424,
-0.17144839465618134,
0.00506010465323925,
0.30681219696998596,
0.06778958439826965,
-0.3383012115955353,
0.2467605620622635,
-0.08211200684309006,
0.1046876311302185,
0.25874486565589905,
-0.00012322825205046684,
0.03466244041919708,
0.6713195443153381,
-0.23092064261436462,
-0.19163449108600616,
-0.3499612510204315,
-0.3364585340023041,
-0.2255396544933319,
-0.007184447720646858,
-0.21592660248279572,
0.00239368318580091,
-0.07125626504421234,
0.19345656037330627,
-0.15920580923557281,
0.17167401313781738,
0.3034624457359314,
0.09692032635211945,
0.16826258599758148,
-0.17914852499961853,
0.05318061262369156,
0.22526109218597412,
0.1842545121908188,
-0.08278989791870117,
-0.08363905549049377,
-0.09633418172597885,
-0.13919824361801147,
-0.13139444589614868,
0.4392051696777344,
-0.2431434541940689,
0.1521119773387909,
0.27531206607818604,
0.16114865243434906,
0.29860109090805054,
-0.2021786868572235,
0.018696404993534088,
0.37583088874816895,
0.48768600821495056,
0.10426004976034164,
-0.3134582042694092,
-0.47657108306884766,
-0.022540299221873283,
0.18318982422351837,
0.36662188172340393,
0.3496962785720825,
-0.2403942495584488,
0.03685631603002548,
-0.4264366626739502,
-0.029453495517373085,
-0.13254474103450775,
0.08995367586612701,
0.2136923372745514,
0.10086160153150558,
0.15536978840827942,
-0.003271779278293252,
0.044661037623882294,
-0.09545880556106567,
0.15903490781784058,
-0.23730114102363586,
-0.1132025495171547,
0.042656611651182175,
-0.13779018819332123,
-0.13386541604995728,
-0.09080652892589569,
0.015388456173241138,
0.19063471257686615,
0.2048223465681076,
0.3135956823825836,
0.05322405323386192,
0.22500498592853546,
0.21918268501758575,
0.47183486819267273,
-0.04583921656012535,
-0.08414648473262787,
0.5593457818031311,
0.2446119487285614,
0.03002576157450676,
0.06023688614368439,
-0.01003847736865282,
0.27793020009994507,
-0.12376896291971207,
-0.08744284510612488,
0.0251360721886158,
0.25217586755752563,
-0.5562331676483154,
-0.46969074010849,
0.10254047065973282,
-0.4754388928413391,
-0.11085537821054459,
-0.04994547367095947,
0.25997743010520935,
-0.3506716191768646,
0.3180258572101593,
-0.11212296038866043,
0.11180038750171661,
-0.33322611451148987,
-0.045167647302150726,
-0.19081111252307892,
0.15689904987812042,
-0.10932169109582901,
0.18961699306964874,
0.3031008541584015,
-0.0997934341430664,
0.464413583278656,
-0.14836886525154114,
0.0527668222784996,
-0.16524390876293182,
0.42668530344963074,
-0.17668205499649048,
0.12088891118764877,
0.2269916981458664,
0.0736209899187088,
0.23083314299583435,
-0.022406838834285736,
-0.14349493384361267,
-0.37490126490592957,
0.14235258102416992,
-0.18751952052116394,
-0.5286052823066711,
0.11082921177148819,
0.12504614889621735,
-0.39939799904823303,
-0.05795322358608246,
-0.010793885216116905,
0.19039051234722137,
0.3466760218143463,
-0.385879248380661,
-0.08683202415704727,
-0.16370506584644318,
-0.07959877699613571,
0.004998394288122654,
-0.15900030732154846,
0.46130824089050293,
0.18528056144714355,
-0.2022436559200287,
0.15319792926311493,
0.05393051728606224,
0.5437247157096863,
0.35257861018180847,
0.02455792762339115,
0.022252580150961876,
-0.14071229100227356,
0.45799365639686584,
0.1890597641468048,
-0.46631285548210144,
-0.1278698444366455,
0.5851625204086304,
0.09912499040365219,
0.317083477973938,
0.2227524220943451,
0.14682307839393616,
0.233754500746727,
-0.06082316115498543,
0.04069112613797188,
0.40092599391937256,
-0.08982785046100616,
0.07596126198768616,
-0.3674882650375366,
-0.3140702545642853,
0.40807369351387024,
0.1790602058172226,
0.13126718997955322,
0.010799593292176723,
-0.05128692463040352,
0.4866947829723358,
0.2602522075176239,
-0.08486145734786987,
0.09025543183088303,
0.2709383964538574,
-0.405914843082428,
0.13252176344394684,
0.07757267355918884,
-0.09696796536445618,
-0.3680000901222229,
0.0032124221324920654,
-0.1876494586467743,
0.2800237536430359,
0.0573013499379158,
-0.32654303312301636,
-0.1517820805311203,
-0.4228244423866272,
-0.00793265737593174,
0.024887599050998688,
-0.0178245659917593,
0.25395479798316956,
0.32474005222320557,
0.09333090484142303,
-0.019458703696727753,
0.3759138882160187,
-0.02651868388056755,
0.2407078891992569,
-0.8501709699630737,
0.13954167068004608,
-0.1763739287853241,
-0.2839396893978119,
0.4763649106025696,
0.2768568992614746,
0.18114027380943298,
-0.14808803796768188,
-0.07467442750930786,
0.44800126552581787,
-0.07221253961324692,
0.46613064408302307,
-0.3489922285079956,
0.022523578256368637,
0.3167484998703003,
-0.2829042375087738,
-0.01944568380713463,
0.3597464859485626,
0.012246963568031788,
-0.061130013316869736,
-0.17984256148338318,
0.37260735034942627,
-0.3008643090724945,
0.2264278680086136,
0.10579652339220047,
0.009543619118630886,
0.12567362189292908,
-0.2296977937221527,
-0.2462264448404312,
-0.5783407688140869,
0.5604599118232727,
-0.10399427264928818,
-0.33910125494003296,
-0.0010968884453177452,
-0.2969706654548645,
-0.01972680725157261,
0.428888738155365,
0.11643330752849579,
-0.06571304798126221,
-0.03648027032613754,
-0.005256153643131256,
-0.15044257044792175,
0.19341453909873962,
0.18049214780330658,
0.4251810312271118,
0.12823985517024994,
0.08470896631479263,
0.012771978043019772,
-0.17027944326400757,
-0.35771456360816956,
0.11679737269878387,
0.051716942340135574,
0.003451257012784481,
0.3891894221305847,
0.06336168199777603,
0.032328713685274124,
-0.34547853469848633,
-0.027957865968346596,
0.20833437144756317,
0.10395707190036774,
-0.38145825266838074,
-0.1296589970588684,
-0.42635393142700195,
-0.3968113362789154,
-0.23945941030979156,
-0.17718367278575897,
-0.12151750922203064,
-0.3765020966529846,
0.20473913848400116,
0.33553093671798706,
-0.2092922478914261,
0.11408428847789764,
-0.27202168107032776,
-0.012220565229654312,
-0.33466193079948425,
-0.06908030807971954,
-0.07071831077337265,
-0.22454892098903656,
-0.29378873109817505,
-0.03721277415752411,
0.19565996527671814,
0.4540422558784485,
0.22492294013500214,
-0.3926708698272705,
-0.1600925773382187,
0.054462943226099014,
-0.2624691426753998,
0.08240657299757004,
-0.08520682156085968,
-0.07174309343099594,
0.11912183463573456,
-0.1622811108827591,
0.370414674282074,
-0.2849781811237335,
0.029572250321507454,
-0.161270871758461,
-0.29478371143341064,
0.036483049392700195,
0.1533922553062439,
0.03398454934358597,
-0.2557275593280792,
-0.5162025094032288,
-0.2186129242181778,
-0.36561378836631775,
-0.1080164983868599,
0.2695896327495575,
0.18670199811458588,
0.09474556148052216,
-0.15174277126789093,
-0.0998639240860939,
-0.03366892784833908,
0.3037440776824951,
-0.25309568643569946,
-0.11181105673313141,
0.3357352316379547,
-0.22152751684188843,
-0.1377464383840561,
0.054697923362255096,
-0.05541593208909035,
-0.057857099920511246,
0.12819123268127441,
-0.5356532335281372,
-0.11282774806022644,
-0.22534406185150146,
-0.053178589791059494,
-0.2187700718641281,
-0.30812549591064453,
0.4669429659843445,
-0.07963427156209946,
-0.02478385902941227,
-0.037710223346948624,
-0.38316184282302856,
0.07807600498199463,
0.06121470034122467,
0.4086659252643585,
-0.11687025427818298,
0.2762601971626282,
-0.0010491939028725028,
0.4330560564994812,
0.5189312100410461,
0.08851172029972076,
0.0033364570699632168,
0.13722172379493713,
0.1260216236114502,
0.10288182646036148,
0.028162293136119843,
0.30397528409957886,
-0.020976299419999123,
-0.12858740985393524,
0.35867926478385925,
0.06537868827581406,
-0.28293532133102417,
-0.14736051857471466,
-0.11749089509248734,
-0.3157089948654175,
-0.2660253345966339,
0.1234099417924881,
-0.34433066844940186,
0.12941215932369232,
0.19345518946647644,
0.34079402685165405,
-0.08182303607463837,
-0.5395628809928894,
-0.018391774967312813,
0.2862551510334015,
0.2730647623538971,
0.13522247970104218,
-0.4073793590068817,
0.1556655615568161,
-0.46853306889533997,
0.27187836170196533,
0.18034252524375916,
0.3475732207298279,
-0.16948001086711884,
-0.15780490636825562,
0.055487532168626785,
-0.20148690044879913,
0.33941730856895447,
-0.4746231436729431,
0.013200522400438786,
-0.004179333336651325,
-0.07114516943693161,
-0.423763245344162,
-0.189687117934227,
-0.18537156283855438,
0.40302497148513794,
0.49320143461227417,
0.41495776176452637,
-0.37820690870285034,
-0.07719402015209198,
0.24144481122493744,
-0.08462478220462799,
-0.05414042994379997,
-0.15137523412704468,
-0.21289369463920593,
-0.3216531574726105,
-0.27340802550315857,
-0.15363159775733948,
0.0058207763358950615,
0.25832700729370117,
-0.10156745463609695,
-0.1375628262758255,
0.09534545242786407,
0.14404426515102386,
0.4129197895526886,
0.2945847809314728,
0.1835900843143463,
0.018144845962524414,
0.14950361847877502,
0.3504323959350586,
0.4505656063556671,
0.17933355271816254,
0.4881434142589569,
0.06032538414001465,
-0.1553128957748413,
0.06298741698265076,
-0.3202919065952301,
0.04379040375351906,
0.4678914546966553,
0.19955559074878693,
0.021901912987232208,
0.12911377847194672,
-0.1437588483095169,
-0.3940749764442444,
-0.005321770440787077,
0.06702899932861328,
-0.17417648434638977,
-0.33612462878227234,
-0.3677903115749359,
0.2681986391544342,
0.3401360809803009,
-0.11092506349086761,
-0.16600045561790466,
-0.1509866863489151,
-0.3498975336551666,
0.3399808406829834,
0.1721285581588745,
0.945644736289978,
0.28829699754714966,
-0.015686381608247757,
-0.0824362263083458,
-0.17538733780384064,
0.8163896799087524,
-0.23600581288337708,
0.43048304319381714,
-0.3811829686164856,
-0.24644888937473297,
-0.08875585347414017,
-0.1746107041835785,
0.13842268288135529,
0.11361934244632721,
-0.35978755354881287,
0.3247303068637848,
0.13030101358890533,
0.034615084528923035,
-0.191714346408844,
0.4030132293701172,
-0.28494536876678467,
-0.19131138920783997,
-0.15553104877471924,
0.023692715913057327,
-0.1681818962097168,
0.384303480386734,
0.055374350398778915,
-0.07974913716316223,
-0.2306414246559143,
-0.21798478066921234,
-0.43404167890548706,
0.23839311301708221,
0.15239746868610382,
0.04199132323265076,
0.261804461479187,
-0.21192966401576996,
-0.02144448831677437,
0.12296968698501587,
0.33395954966545105,
-0.17732946574687958,
-0.17432692646980286,
-0.005739698652178049,
-0.10337192565202713,
-0.18696163594722748,
0.14108487963676453,
0.05936392769217491,
0.3844887614250183,
-0.09873609989881516,
-0.011702921241521835,
0.08156541734933853,
-0.15946175158023834,
-0.265009343624115,
-0.17423227429389954,
-0.1326058954000473,
-0.18644283711910248,
-0.18964193761348724,
-0.16944268345832825,
0.013096786104142666,
-0.06749511510133743,
-0.08927696943283081,
0.013088562525808811,
-0.13440066576004028,
-0.15610583126544952,
0.21438707411289215,
-0.03449400141835213,
-0.3317166864871979,
-0.10979115217924118,
0.4217982292175293,
0.33537736535072327,
-0.003499122802168131,
0.4691965878009796,
-0.06988602876663208,
-0.11542747914791107,
-0.15430639684200287,
-0.07997774332761765,
-0.14899997413158417,
-0.33252909779548645,
0.20993627607822418,
-0.22150319814682007,
-0.08268962800502777,
0.23825141787528992,
0.2852211892604828,
0.133651003241539,
0.2915157973766327,
-0.12268858402967453,
-0.4712008535861969,
-0.009561262093484402,
0.2567784786224365,
-0.019193828105926514,
0.11481335014104843,
-0.14997422695159912,
0.39572611451148987,
-0.18629437685012817,
0.1535692811012268,
-0.19016426801681519,
-0.07312841713428497,
-0.48062992095947266,
0.35391852259635925,
0.0994262769818306,
-0.007976687513291836,
-0.08883369714021683,
-0.027649248018860817,
-0.16565969586372375,
0.28192445635795593,
-0.01915896311402321,
0.006709287874400616,
-0.13281430304050446,
0.19781996309757233,
0.09791260212659836,
-0.10110511630773544,
-0.13994500041007996,
0.11612612009048462,
0.02054685354232788,
-0.00484836008399725,
0.03788478672504425,
0.2670266628265381,
-0.008994183503091335,
0.3893875777721405,
-0.36771687865257263,
0.09063167124986649,
-0.05895492807030678,
0.18782037496566772,
-0.3241513967514038,
0.2810365557670593,
-0.1203463077545166,
0.21074910461902618,
-0.04493272304534912,
0.044363632798194885,
0.03362700343132019,
-0.02852052077651024,
0.03280812129378319,
0.04359224811196327,
0.14903274178504944,
-0.16278529167175293,
0.14060981571674347,
0.33817780017852783,
-0.023935217410326004,
0.5712108016014099,
-0.0635785385966301,
-0.16158320009708405,
0.03009963408112526,
0.08797784894704819,
-0.08461970835924149,
-0.0033458888065069914,
0.20257987082004547,
-0.060471273958683014,
-0.06835423409938812,
0.3554307520389557,
0.1837964653968811,
-0.10070601105690002,
-0.18464164435863495,
0.1138506531715393,
0.42155104875564575,
-0.17783132195472717,
0.19242531061172485,
0.19783838093280792,
-0.21465839445590973,
-0.015783781185746193,
0.16785579919815063,
-0.20996685326099396,
0.19654639065265656,
0.04577749967575073,
0.020209182053804398,
0.47435876727104187,
0.1578318476676941,
0.3953709602355957,
-0.07260758429765701,
-0.21184633672237396,
-0.06808505207300186,
0.601893424987793,
0.3082672357559204,
0.43376463651657104,
0.22709417343139648,
0.325705349445343,
-0.2783259153366089,
-0.00010940757056232542,
-0.35041481256484985,
-0.18376082181930542,
-0.011417302303016186,
-0.16466306149959564,
-0.4718987047672272,
-0.09388595074415207,
-0.23944783210754395,
0.09697277098894119,
-0.15479280054569244,
0.1520403027534485,
0.3951610326766968,
-0.044419340789318085,
-0.20598697662353516,
-0.5548536777496338,
0.13787557184696198,
-0.13042598962783813,
0.19312043488025665,
-0.2679714262485504,
0.18461093306541443,
0.0576748326420784,
-0.11533725261688232,
0.43101707100868225,
0.5478071570396423,
0.5472567081451416,
0.32145920395851135,
-0.17351742088794708,
-0.11064166575670242,
0.03344208747148514,
0.032779715955257416,
0.19032767415046692,
0.7335734367370605,
0.32219818234443665,
-0.2711005210876465,
0.37458062171936035,
-0.05907514691352844,
-0.05481630563735962,
0.413944274187088,
0.12746430933475494,
0.015450875274837017,
-0.06342161446809769,
0.5102357268333435,
-0.17088817059993744,
0.10250909626483917,
0.006850921083241701,
0.02524922788143158,
-0.27466610074043274,
-0.3511110842227936,
0.2094677984714508,
-0.32757478952407837,
0.22225098311901093,
-0.030705513432621956,
0.01895626075565815,
-0.2546960711479187,
0.5723082423210144,
0.4384699761867523,
-0.14093200862407684,
-0.21884936094284058,
-0.010653417557477951,
-0.4845338463783264,
0.3560204803943634,
-0.3736160695552826,
-0.16402667760849,
-0.13282252848148346,
0.5531365871429443,
-0.2862456738948822,
0.23929330706596375,
-0.2779919505119324,
0.3856368660926819,
-0.17468710243701935,
0.16580167412757874,
-0.25717657804489136,
-0.013568085618317127,
-0.10855469852685928,
-0.22183643281459808,
0.006634814664721489,
-0.24003109335899353,
0.14324882626533508,
0.04273706674575806,
-0.12452125549316406,
0.0315433107316494,
-0.024334577843546867,
0.06714487075805664,
0.49722930788993835,
-0.0039029463659971952,
0.47871309518814087,
0.4656323194503784,
-0.15694749355316162,
-0.23094379901885986,
-0.1626695990562439,
-0.3780439794063568,
-0.34398844838142395,
0.3681856095790863,
0.17288751900196075,
0.43301576375961304,
-0.17476147413253784,
0.5583013296127319,
-0.04618223384022713,
0.2748158574104309,
-0.04320492967963219,
-0.004775571636855602,
-0.320286363363266,
0.012488414533436298,
-0.27113020420074463,
0.02506726048886776,
0.12636448442935944,
0.37036898732185364,
0.17302142083644867,
-0.020745672285556793,
-0.18759030103683472,
-0.41432109475135803,
0.4301750957965851,
-0.354178786277771,
0.05320926383137703,
-0.13932406902313232,
0.1548423320055008,
0.2172611802816391,
-0.14222216606140137,
-0.753833532333374,
-0.08064065873622894,
0.27263835072517395,
-0.16095569729804993,
0.050614919513463974,
-0.013103938661515713,
-0.014781929552555084,
-0.2709467113018036,
-0.15545177459716797,
-0.2552732825279236,
0.24762387573719025,
-0.3734522759914398,
0.30728673934936523,
-0.09805559366941452
] |
https://github.com/huggingface/datasets/issues/215 | NonMatchingSplitsSizesError when loading blog_authorship_corpus | > I'm getting this same issue when loading the `imdb` corpus via `dataset = load_dataset("imdb")`. When I try `ignore_verifications=True`, no examples are read into the `train` portion of the dataset.
When the checksums don't match, it may mean that the file you downloaded is corrupted. In this case you can try to load the dataset again `load_dataset("imdb", download_mode="force_redownload")`
Also I just checked on my side and it worked fine:
```python
from datasets import load_dataset
dataset = load_dataset("imdb")
print(len(dataset["train"]))
# 25000
```
Let me know if redownloading fixes your issue @EmilyAlsentzer .
If not, feel free to open a separate issue. | Getting this error when i run `nlp.load_dataset('blog_authorship_corpus')`.
```
raise NonMatchingSplitsSizesError(str(bad_splits))
nlp.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train',
num_bytes=610252351, num_examples=532812, dataset_name='blog_authorship_corpus'),
'recorded': SplitInfo(name='train', num_bytes=616473500, num_examples=536323,
dataset_name='blog_authorship_corpus')}, {'expected': SplitInfo(name='validation',
num_bytes=37500394, num_examples=31277, dataset_name='blog_authorship_corpus'),
'recorded': SplitInfo(name='validation', num_bytes=30786661, num_examples=27766,
dataset_name='blog_authorship_corpus')}]
```
Upon checking it seems like there is a disparity between the information in `datasets/blog_authorship_corpus/dataset_infos.json` and what was downloaded. Although I can get away with this by passing `ignore_verifications=True` in `load_dataset`, I'm thinking doing so might give problems later on. | 100 | NonMatchingSplitsSizesError when loading blog_authorship_corpus
Getting this error when i run `nlp.load_dataset('blog_authorship_corpus')`.
```
raise NonMatchingSplitsSizesError(str(bad_splits))
nlp.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train',
num_bytes=610252351, num_examples=532812, dataset_name='blog_authorship_corpus'),
'recorded': SplitInfo(name='train', num_bytes=616473500, num_examples=536323,
dataset_name='blog_authorship_corpus')}, {'expected': SplitInfo(name='validation',
num_bytes=37500394, num_examples=31277, dataset_name='blog_authorship_corpus'),
'recorded': SplitInfo(name='validation', num_bytes=30786661, num_examples=27766,
dataset_name='blog_authorship_corpus')}]
```
Upon checking it seems like there is a disparity between the information in `datasets/blog_authorship_corpus/dataset_infos.json` and what was downloaded. Although I can get away with this by passing `ignore_verifications=True` in `load_dataset`, I'm thinking doing so might give problems later on.
> I'm getting this same issue when loading the `imdb` corpus via `dataset = load_dataset("imdb")`. When I try `ignore_verifications=True`, no examples are read into the `train` portion of the dataset.
When the checksums don't match, it may mean that the file you downloaded is corrupted. In this case you can try to load the dataset again `load_dataset("imdb", download_mode="force_redownload")`
Also I just checked on my side and it worked fine:
```python
from datasets import load_dataset
dataset = load_dataset("imdb")
print(len(dataset["train"]))
# 25000
```
Let me know if redownloading fixes your issue @EmilyAlsentzer .
If not, feel free to open a separate issue. | [
-0.17600978910923004,
0.19232207536697388,
0.06580757349729538,
0.4156298041343689,
0.012083323672413826,
0.19369195401668549,
-0.06068258360028267,
0.3878975510597229,
-0.05917373672127724,
0.1324821263551712,
-0.07451507449150085,
0.17166590690612793,
0.009340972639620304,
-0.13655927777290344,
-0.07436719536781311,
0.00014040738460607827,
-0.061030659824609756,
0.1483679562807083,
0.07987795025110245,
0.035929057747125626,
-0.06956396251916885,
0.430107057094574,
-0.3462485074996948,
-0.08884044736623764,
-0.23781442642211914,
-0.1127564087510109,
0.029419295489788055,
0.3264782726764679,
0.04625575616955757,
-0.3628292977809906,
0.2542952299118042,
-0.06689704954624176,
0.1275966912508011,
0.3013105094432831,
-0.000123778052511625,
0.018736258149147034,
0.6639289259910583,
-0.24313727021217346,
-0.19303753972053528,
-0.3823125958442688,
-0.29839053750038147,
-0.27950403094291687,
-0.031189963221549988,
-0.23511360585689545,
0.00004675639502238482,
-0.045577604323625565,
0.13764603435993195,
-0.17305052280426025,
0.2249153107404709,
0.34403976798057556,
0.09746165573596954,
0.18349282443523407,
-0.09256050735712051,
0.11123760789632797,
0.21578523516654968,
0.12078322470188141,
-0.04892580583691597,
-0.014452725648880005,
-0.017778947949409485,
-0.15843066573143005,
-0.03852710500359535,
0.3862314820289612,
-0.3328864574432373,
0.11739900708198547,
0.257072776556015,
0.14909572899341583,
0.3444834351539612,
-0.1964063048362732,
0.031481701880693436,
0.3853248655796051,
0.4552387297153473,
0.02042105235159397,
-0.34347349405288696,
-0.43859392404556274,
-0.003331762505695224,
0.09549654275178909,
0.385768324136734,
0.36564886569976807,
-0.25014546513557434,
0.04120177775621414,
-0.34488239884376526,
0.020255209878087044,
-0.1232108324766159,
0.10563656687736511,
0.16576077044010162,
0.08337178081274033,
0.15274548530578613,
-0.013326913118362427,
0.04077646881341934,
-0.03611772879958153,
0.14461590349674225,
-0.2656337022781372,
-0.10599860548973083,
0.09341879189014435,
-0.16324135661125183,
-0.12530241906642914,
-0.18923711776733398,
-0.011101770214736462,
0.16719697415828705,
0.19994880259037018,
0.29252442717552185,
0.010139454156160355,
0.1910586655139923,
0.18825729191303253,
0.4692175090312958,
-0.05503099411725998,
-0.10778764635324478,
0.5959747433662415,
0.2141972780227661,
0.08869105577468872,
-0.00538589945062995,
-0.031112447381019592,
0.2485346496105194,
-0.20115704834461212,
0.02705664373934269,
0.12978431582450867,
0.24780985713005066,
-0.5492251515388489,
-0.510543167591095,
0.17850784957408905,
-0.472481369972229,
-0.12943395972251892,
-0.03337767720222473,
0.21454067528247833,
-0.3933624029159546,
0.3246039152145386,
-0.064974844455719,
0.12263613939285278,
-0.3191176652908325,
-0.004285333678126335,
-0.15956458449363708,
0.12740503251552582,
-0.13459959626197815,
0.16218243539333344,
0.28917282819747925,
-0.1728476881980896,
0.40299683809280396,
-0.11030672490596771,
0.06361155956983566,
-0.21592584252357483,
0.30708909034729004,
-0.206889808177948,
0.06568220257759094,
0.23887181282043457,
0.047185108065605164,
0.2478991597890854,
0.0007343612378463149,
-0.20997609198093414,
-0.3573240041732788,
0.13655602931976318,
-0.20479097962379456,
-0.4814675748348236,
0.07134093344211578,
0.12074007838964462,
-0.39544326066970825,
-0.047843579202890396,
-0.07426383346319199,
0.03617919608950615,
0.36518341302871704,
-0.42673027515411377,
-0.09594748914241791,
-0.2285139560699463,
-0.07225844264030457,
-0.035934146493673325,
-0.10529311746358871,
0.5175381302833557,
0.15426714718341827,
-0.16895312070846558,
0.13861128687858582,
0.05945953354239464,
0.5408576130867004,
0.39143243432044983,
0.05832086130976677,
0.025509018450975418,
-0.19143207371234894,
0.3766971528530121,
0.20354241132736206,
-0.530716061592102,
-0.2367614358663559,
0.5350238084793091,
0.13700063526630402,
0.3692920207977295,
0.22536338865756989,
0.14809495210647583,
0.2658127248287201,
-0.06201300397515297,
0.01656775176525116,
0.4239158630371094,
-0.046328574419021606,
0.07779411971569061,
-0.3728451430797577,
-0.2930842936038971,
0.392194002866745,
0.1419515460729599,
0.15030765533447266,
0.04352617263793945,
-0.0213348176330328,
0.44595447182655334,
0.3237892985343933,
-0.04585520923137665,
0.09353803843259811,
0.2675274908542633,
-0.2806485891342163,
0.25819632411003113,
0.049429528415203094,
-0.22007183730602264,
-0.3241138458251953,
0.027645595371723175,
-0.19926141202449799,
0.2994351387023926,
-0.09630519896745682,
-0.26976680755615234,
-0.17187517881393433,
-0.45702919363975525,
-0.04208001494407654,
-0.00748974597081542,
-0.006650733761489391,
0.20860138535499573,
0.28892454504966736,
0.1307031363248825,
-0.06835644692182541,
0.42508840560913086,
-0.09385278820991516,
0.24119189381599426,
-0.8024846911430359,
0.2409888505935669,
-0.19558757543563843,
-0.31735941767692566,
0.4423465430736542,
0.2632888853549957,
0.19873645901679993,
-0.14953100681304932,
-0.14108438789844513,
0.44249001145362854,
-0.031132962554693222,
0.42057159543037415,
-0.3902110457420349,
0.0709906816482544,
0.32512375712394714,
-0.3283195495605469,
-0.013646182604134083,
0.3792681097984314,
0.0683736652135849,
-0.09130802750587463,
-0.09971366822719574,
0.3737078309059143,
-0.37633273005485535,
0.21936780214309692,
0.13083110749721527,
0.029671713709831238,
0.13359175622463226,
-0.21173645555973053,
-0.2728489637374878,
-0.5291533470153809,
0.5458316206932068,
-0.0643116906285286,
-0.31283092498779297,
0.004712572321295738,
-0.23172347247600555,
-0.06337516009807587,
0.41675662994384766,
0.0390753373503685,
-0.07154995203018188,
-0.01635383628308773,
-0.0056105125695466995,
-0.09737599641084671,
0.07564883679151535,
0.20833970606327057,
0.4420284926891327,
0.09719030559062958,
0.01375551801174879,
0.07849960029125214,
-0.20874330401420593,
-0.31791356205940247,
0.16330701112747192,
0.01875685714185238,
0.0033218245953321457,
0.4489206075668335,
0.01393331028521061,
0.0849304124712944,
-0.27898821234703064,
-0.03021649830043316,
0.11369824409484863,
0.18893900513648987,
-0.42711010575294495,
-0.09499035775661469,
-0.42307066917419434,
-0.38129326701164246,
-0.32520997524261475,
-0.19172699749469757,
-0.15214823186397552,
-0.3741568922996521,
0.10221884399652481,
0.3356708884239197,
-0.09335179626941681,
0.1520269811153412,
-0.27478134632110596,
-0.07710868120193481,
-0.28563815355300903,
-0.1671755313873291,
-0.040072955191135406,
-0.25538569688796997,
-0.22221358120441437,
-0.06030001491308212,
0.2851202189922333,
0.4162527620792389,
0.2191532701253891,
-0.43143609166145325,
-0.1876336634159088,
-0.003960995469242334,
-0.21282848715782166,
0.047138623893260956,
-0.0921221449971199,
-0.010914796963334084,
0.1246258094906807,
-0.09668314456939697,
0.3530615270137787,
-0.3084544539451599,
0.13665306568145752,
-0.18659105896949768,
-0.28652581572532654,
0.08701907098293304,
0.1654970496892929,
0.00590186333283782,
-0.16749294102191925,
-0.47558751702308655,
-0.26043933629989624,
-0.3520001173019409,
-0.15064622461795807,
0.26975417137145996,
0.18269242346286774,
0.09125323593616486,
-0.12194875627756119,
-0.1085171177983284,
-0.03932345286011696,
0.35023632645606995,
-0.21496829390525818,
-0.12616309523582458,
0.29936835169792175,
-0.15706680715084076,
-0.17148812115192413,
0.006665576249361038,
-0.019033754244446754,
-0.02802501805126667,
0.12993429601192474,
-0.525076150894165,
-0.1266777515411377,
-0.2553535997867584,
-0.019448071718215942,
-0.22357916831970215,
-0.2169739007949829,
0.4017183482646942,
-0.01997067593038082,
0.007223912980407476,
-0.007094128523021936,
-0.3523038327693939,
0.027413614094257355,
0.05319155752658844,
0.38160014152526855,
-0.1346924602985382,
0.30944931507110596,
-0.03444184735417366,
0.42649316787719727,
0.5960373282432556,
0.03605298697948456,
0.02763943374156952,
0.07134292274713516,
0.14365246891975403,
0.07474680244922638,
-0.10544990003108978,
0.26571565866470337,
-0.07296619564294815,
-0.07890402525663376,
0.2505123019218445,
0.00891830399632454,
-0.22383223474025726,
-0.1783445179462433,
-0.12964576482772827,
-0.45140233635902405,
-0.27320626378059387,
0.10059618204832077,
-0.3199053108692169,
0.17668387293815613,
0.13752329349517822,
0.28149300813674927,
-0.05517859756946564,
-0.5646659135818481,
0.029398171231150627,
0.41505563259124756,
0.2145816832780838,
0.11504007875919342,
-0.3385311961174011,
0.1420573890209198,
-0.3411738872528076,
0.26438772678375244,
0.20610591769218445,
0.37408265471458435,
-0.1111697107553482,
-0.11376488953828812,
0.0390937514603138,
-0.19258259236812592,
0.3788107633590698,
-0.4746636748313904,
0.0555170476436615,
-0.004085300490260124,
-0.0704110860824585,
-0.41189613938331604,
-0.21917076408863068,
-0.18260222673416138,
0.36919209361076355,
0.46578559279441833,
0.4691718816757202,
-0.35209381580352783,
-0.06196654587984085,
0.2556953430175781,
0.0213908851146698,
-0.10110480338335037,
-0.17457976937294006,
-0.22858616709709167,
-0.33551129698753357,
-0.26188838481903076,
-0.1732977032661438,
-0.04387543350458145,
0.31121665239334106,
-0.07534477114677429,
-0.08241888135671616,
0.042251214385032654,
0.1665191799402237,
0.4253271818161011,
0.23124060034751892,
0.20768524706363678,
-0.032401252537965775,
0.2240993231534958,
0.25176897644996643,
0.40947484970092773,
0.21285994350910187,
0.5298270583152771,
-0.0027637809980660677,
-0.19281627237796783,
-0.07655362039804459,
-0.30114442110061646,
0.005492973607033491,
0.4374135136604309,
0.20441003143787384,
-0.03045053221285343,
0.12637093663215637,
-0.13738709688186646,
-0.42967525124549866,
-0.05294442176818848,
0.12660479545593262,
-0.10131753981113434,
-0.38544780015945435,
-0.49731147289276123,
0.29982197284698486,
0.35049936175346375,
-0.11287198215723038,
-0.1433967798948288,
-0.09955043345689774,
-0.33479371666908264,
0.34836724400520325,
0.17213237285614014,
0.9992435574531555,
0.22708699107170105,
-0.025044381618499756,
-0.0683605894446373,
-0.20097851753234863,
0.7844552993774414,
-0.21298298239707947,
0.3598968982696533,
-0.4350256323814392,
-0.29632171988487244,
-0.10602013766765594,
-0.18125852942466736,
0.1910448670387268,
0.10323560982942581,
-0.33262643218040466,
0.38838016986846924,
0.10925716906785965,
-0.017338231205940247,
-0.20386295020580292,
0.40578901767730713,
-0.28847745060920715,
-0.1145382672548294,
-0.1564043164253235,
0.020807486027479172,
-0.18778890371322632,
0.4317871034145355,
0.08245346695184708,
-0.05726068094372749,
-0.26244494318962097,
-0.16835258901119232,
-0.5494995713233948,
0.221664696931839,
0.14272399246692657,
0.026372166350483894,
0.21179968118667603,
-0.2248518466949463,
-0.013590328395366669,
0.13423407077789307,
0.3278850317001343,
-0.11514629423618317,
-0.10681699216365814,
-0.0016030421247705817,
-0.022616684436798096,
-0.1557306945323944,
0.20076487958431244,
0.05771096795797348,
0.4340375065803528,
-0.10155361890792847,
-0.06176256015896797,
0.10912148654460907,
-0.07918635755777359,
-0.2611493766307831,
-0.13389451801776886,
-0.1395936906337738,
-0.1802154928445816,
-0.21085792779922485,
-0.20317086577415466,
0.014056478627026081,
-0.029256314039230347,
-0.0973198264837265,
0.01700647920370102,
-0.05921357870101929,
-0.1978055238723755,
0.2540108263492584,
-0.09184740483760834,
-0.3513317406177521,
-0.09548190236091614,
0.4479711353778839,
0.28415730595588684,
-0.04742627218365669,
0.4655071794986725,
-0.044768743216991425,
-0.11638551950454712,
-0.14287002384662628,
-0.0799197405576706,
-0.2282400280237198,
-0.36086660623550415,
0.17055682837963104,
-0.25035685300827026,
0.0032191630452871323,
0.2146570235490799,
0.2766200602054596,
0.23138098418712616,
0.28160741925239563,
-0.0997285321354866,
-0.5418651103973389,
-0.005885081831365824,
0.1627015918493271,
0.09235384315252304,
0.15330176055431366,
-0.19041457772254944,
0.3851993978023529,
-0.20321124792099,
0.08855759352445602,
-0.18876266479492188,
0.001679087057709694,
-0.4216434955596924,
0.3190796971321106,
0.09868451952934265,
-0.010334907099604607,
-0.10647942125797272,
-0.05362092703580856,
-0.10954689234495163,
0.23286420106887817,
-0.008623616769909859,
-0.0021025610622018576,
-0.17353090643882751,
0.19913406670093536,
0.07818415015935898,
-0.1462138444185257,
-0.12778005003929138,
0.029298119246959686,
0.07194796949625015,
-0.03990612179040909,
-0.032883331179618835,
0.3182606101036072,
0.016946081072092056,
0.4303992688655853,
-0.2967918813228607,
0.00705746840685606,
-0.05222337320446968,
0.25376269221305847,
-0.3740805387496948,
0.3204044997692108,
-0.06483282893896103,
0.23397700488567352,
-0.0029912416357547045,
0.07607720047235489,
0.005250886082649231,
-0.010939202271401882,
-0.03330615907907486,
0.044250670820474625,
0.26031816005706787,
-0.18230994045734406,
0.15160931646823883,
0.3269649147987366,
0.0630296990275383,
0.6621743440628052,
-0.0977918803691864,
-0.1435750424861908,
0.1002189889550209,
0.0893855169415474,
-0.12129441648721695,
0.017685338854789734,
0.2556923031806946,
-0.06329984217882156,
-0.080075703561306,
0.37514805793762207,
0.160386860370636,
-0.11737366020679474,
-0.24033242464065552,
0.09514525532722473,
0.5035057663917542,
-0.13529197871685028,
0.18721497058868408,
0.2672550678253174,
-0.052081406116485596,
-0.035117655992507935,
0.11959274858236313,
-0.21357020735740662,
0.11305531859397888,
0.08282117545604706,
-0.016397768631577492,
0.4081757664680481,
0.05979673191905022,
0.38107213377952576,
-0.11079724878072739,
-0.19281350076198578,
-0.016883840784430504,
0.5765307545661926,
0.19954814016819,
0.44371160864830017,
0.23778997361660004,
0.3454335331916809,
-0.3376036286354065,
0.025902314111590385,
-0.31170201301574707,
-0.1353369802236557,
-0.013288070447742939,
-0.1735335886478424,
-0.44935303926467896,
-0.1327100247144699,
-0.22633376717567444,
0.11731559783220291,
-0.13277418911457062,
0.16288970410823822,
0.3212735652923584,
0.033501509577035904,
-0.2087704986333847,
-0.5127847790718079,
0.06974226981401443,
-0.11926989257335663,
0.2277921587228775,
-0.28510183095932007,
0.11935030668973923,
0.12183278053998947,
-0.06800276041030884,
0.3805287182331085,
0.5955411195755005,
0.6343861818313599,
0.39273351430892944,
-0.19025813043117523,
-0.05602798983454704,
0.036398038268089294,
0.05950111150741577,
0.20654892921447754,
0.7163819074630737,
0.24613206088542938,
-0.2202010303735733,
0.3402116596698761,
-0.03373246267437935,
-0.06545190513134003,
0.3719549775123596,
0.07000888884067535,
0.0255960151553154,
-0.08627068996429443,
0.5236680507659912,
-0.19162161648273468,
0.11693493276834488,
-0.05106043443083763,
0.06794944405555725,
-0.32060739398002625,
-0.3236783742904663,
0.26137739419937134,
-0.26411762833595276,
0.24652712047100067,
-0.00307719805277884,
0.01530559454113245,
-0.20477698743343353,
0.5182000994682312,
0.5190639495849609,
-0.09691651165485382,
-0.24339556694030762,
-0.011231189593672752,
-0.5534386038780212,
0.3506767749786377,
-0.3848561644554138,
-0.21972613036632538,
-0.14044590294361115,
0.5029479265213013,
-0.2913239896297455,
0.2718914747238159,
-0.1669800728559494,
0.4217170476913452,
-0.19998997449874878,
0.23926480114459991,
-0.2612937390804291,
-0.0482010692358017,
-0.08566754311323166,
-0.24912485480308533,
-0.04120748117566109,
-0.23633705079555511,
0.12473712861537933,
0.0006043595494702458,
-0.094248466193676,
0.030081115663051605,
-0.026399623602628708,
0.06136676296591759,
0.4949744641780853,
0.024867575615644455,
0.4822665750980377,
0.5218863487243652,
-0.14398768544197083,
-0.26332733035087585,
-0.17555679380893707,
-0.3367414176464081,
-0.30829450488090515,
0.4396428167819977,
0.13124725222587585,
0.3744223713874817,
-0.1879594624042511,
0.47989392280578613,
-0.13751095533370972,
0.336193323135376,
-0.025598766282200813,
-0.11676663160324097,
-0.37553268671035767,
-0.051262471824884415,
-0.22220538556575775,
-0.031138557940721512,
0.09889984130859375,
0.421176940202713,
0.15882275998592377,
0.08846025913953781,
-0.1798771172761917,
-0.40906238555908203,
0.43700626492500305,
-0.32739973068237305,
0.04309295862913132,
-0.11276282370090485,
0.12388177961111069,
0.1499229073524475,
-0.039151985198259354,
-0.759273111820221,
-0.035974305123090744,
0.30051389336586,
-0.17703600227832794,
-0.027316074818372726,
-0.01370744127780199,
-0.019451403990387917,
-0.22175315022468567,
-0.11064101755619049,
-0.30953413248062134,
0.22752639651298523,
-0.3596229553222656,
0.31355902552604675,
-0.08145678788423538
] |
https://github.com/huggingface/datasets/issues/215 | NonMatchingSplitsSizesError when loading blog_authorship_corpus | I wasn't aware of the "force_redownload" option and manually removed the '/home/me/.cache/huggingface/datasets/' dir, this worked for me (dataset 'cnn_dailymail') | Getting this error when i run `nlp.load_dataset('blog_authorship_corpus')`.
```
raise NonMatchingSplitsSizesError(str(bad_splits))
nlp.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train',
num_bytes=610252351, num_examples=532812, dataset_name='blog_authorship_corpus'),
'recorded': SplitInfo(name='train', num_bytes=616473500, num_examples=536323,
dataset_name='blog_authorship_corpus')}, {'expected': SplitInfo(name='validation',
num_bytes=37500394, num_examples=31277, dataset_name='blog_authorship_corpus'),
'recorded': SplitInfo(name='validation', num_bytes=30786661, num_examples=27766,
dataset_name='blog_authorship_corpus')}]
```
Upon checking it seems like there is a disparity between the information in `datasets/blog_authorship_corpus/dataset_infos.json` and what was downloaded. Although I can get away with this by passing `ignore_verifications=True` in `load_dataset`, I'm thinking doing so might give problems later on. | 19 | NonMatchingSplitsSizesError when loading blog_authorship_corpus
Getting this error when i run `nlp.load_dataset('blog_authorship_corpus')`.
```
raise NonMatchingSplitsSizesError(str(bad_splits))
nlp.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train',
num_bytes=610252351, num_examples=532812, dataset_name='blog_authorship_corpus'),
'recorded': SplitInfo(name='train', num_bytes=616473500, num_examples=536323,
dataset_name='blog_authorship_corpus')}, {'expected': SplitInfo(name='validation',
num_bytes=37500394, num_examples=31277, dataset_name='blog_authorship_corpus'),
'recorded': SplitInfo(name='validation', num_bytes=30786661, num_examples=27766,
dataset_name='blog_authorship_corpus')}]
```
Upon checking it seems like there is a disparity between the information in `datasets/blog_authorship_corpus/dataset_infos.json` and what was downloaded. Although I can get away with this by passing `ignore_verifications=True` in `load_dataset`, I'm thinking doing so might give problems later on.
I wasn't aware of the "force_redownload" option and manually removed the '/home/me/.cache/huggingface/datasets/' dir, this worked for me (dataset 'cnn_dailymail') | [
-0.059521086513996124,
0.15316830575466156,
0.07047892361879349,
0.38789090514183044,
-0.015147232450544834,
0.14190791547298431,
-0.09238570928573608,
0.320081889629364,
-0.049356814473867416,
0.00811048224568367,
-0.08665341883897781,
0.15768671035766602,
0.03654804453253746,
0.04614752531051636,
-0.019716089591383934,
0.08979131281375885,
-0.04565126821398735,
0.20413734018802643,
0.04544640704989433,
0.029078885912895203,
0.0009837569668889046,
0.5112382173538208,
-0.24448415637016296,
-0.06453901529312134,
-0.3506292700767517,
-0.1498447060585022,
0.054416295140981674,
0.3629712760448456,
0.010663223452866077,
-0.3910154402256012,
0.31971681118011475,
-0.047284264117479324,
0.11418914794921875,
0.2401961088180542,
-0.00012255208275746554,
-0.0028430665843188763,
0.4699679911136627,
-0.21914024651050568,
-0.2050280123949051,
-0.27034232020378113,
-0.21681641042232513,
-0.29916292428970337,
-0.046362750232219696,
-0.2182561159133911,
-0.06674132496118546,
-0.06653883308172226,
0.07996447384357452,
-0.051992133259773254,
0.37194907665252686,
0.29745885729789734,
0.12554721534252167,
0.09593836218118668,
-0.12729528546333313,
0.1026805192232132,
0.08485616743564606,
0.06652500480413437,
-0.01188482716679573,
-0.04185543954372406,
-0.1720016747713089,
-0.32199475169181824,
-0.12819801270961761,
0.5180575251579285,
-0.1915791928768158,
0.1262468695640564,
0.1819387823343277,
0.08008390665054321,
0.28306472301483154,
-0.1194165050983429,
0.06791145354509354,
0.3065376877784729,
0.4064789116382599,
0.1085793599486351,
-0.22490538656711578,
-0.5339215397834778,
0.007109073456376791,
0.05136090889573097,
0.45279964804649353,
0.34143373370170593,
-0.19766266644001007,
0.10054169595241547,
-0.415865957736969,
-0.22632378339767456,
-0.054597750306129456,
0.007279455196112394,
0.21390008926391602,
0.2067904770374298,
0.038818325847387314,
-0.010092146694660187,
0.13749270141124725,
-0.03788347914814949,
0.22440898418426514,
-0.09223991632461548,
-0.14465226233005524,
0.08490973711013794,
-0.21261745691299438,
-0.15949290990829468,
-0.12389065325260162,
0.037815239280462265,
0.1740894317626953,
0.15352191030979156,
0.23721112310886383,
-0.07823175191879272,
0.14463810622692108,
0.04192792624235153,
0.36939334869384766,
0.17495547235012054,
-0.0018968230579048395,
0.42824193835258484,
0.1405404508113861,
0.033289384096860886,
0.11029357463121414,
0.0037991213612258434,
0.29398196935653687,
-0.15722940862178802,
-0.06706444919109344,
0.04519667848944664,
0.20995981991291046,
-0.5436294078826904,
-0.416538804769516,
0.07986767590045929,
-0.4917491674423218,
-0.20235198736190796,
-0.12295089662075043,
0.13204719126224518,
-0.34991776943206787,
0.3523452877998352,
-0.07884310185909271,
0.03780760243535042,
-0.37327709794044495,
-0.055996209383010864,
-0.20142947137355804,
0.10900062322616577,
-0.19364477694034576,
0.23633521795272827,
0.2714066803455353,
-0.28212088346481323,
0.43705159425735474,
-0.05147682502865791,
-0.09336377680301666,
-0.2561865746974945,
0.2646711468696594,
-0.030780786648392677,
-0.02329210750758648,
0.19040632247924805,
-0.13137562572956085,
0.2399364411830902,
0.008580385707318783,
-0.2008439153432846,
-0.2873157262802124,
0.01637277752161026,
-0.27687501907348633,
-0.6388425827026367,
0.08123855292797089,
0.1171504482626915,
-0.40461665391921997,
-0.05964193120598793,
0.017498068511486053,
0.22032175958156586,
0.37056395411491394,
-0.2604256570339203,
-0.10591307282447815,
-0.16876038908958435,
-0.10133886337280273,
-0.02985287830233574,
-0.16532829403877258,
0.5042774677276611,
0.13272725045681,
-0.32241442799568176,
0.1607019007205963,
-0.03138416260480881,
0.47419580817222595,
0.4351542890071869,
-0.006501998286694288,
0.10734177380800247,
-0.1725720912218094,
0.35535678267478943,
0.14280261099338531,
-0.39499378204345703,
-0.2550792694091797,
0.40007564425468445,
-0.0010341099696233869,
0.2915744483470917,
0.183280810713768,
0.1310873031616211,
0.09201636910438538,
-0.06459524482488632,
0.0591232106089592,
0.4729750156402588,
0.07429248094558716,
0.09922955185174942,
-0.45281121134757996,
-0.41699761152267456,
0.43306493759155273,
0.16881978511810303,
0.10977091640233994,
0.07702746242284775,
-0.019928503781557083,
0.4880300462245941,
0.31506603956222534,
-0.14438828825950623,
0.06338523328304291,
0.31531864404678345,
-0.3313466012477875,
0.1586516946554184,
0.04939056932926178,
-0.08946103602647781,
-0.5167132616043091,
0.007717791944742203,
-0.2730097472667694,
0.31955817341804504,
0.050448477268218994,
-0.19811034202575684,
-0.23507963120937347,
-0.4627164602279663,
-0.07891248166561127,
-0.1806631088256836,
0.0007561777601949871,
0.23502124845981598,
0.409032940864563,
0.054551009088754654,
-0.018293334171175957,
0.5882978439331055,
-0.09648596495389938,
0.24484986066818237,
-0.8845165967941284,
0.2083260416984558,
-0.12776190042495728,
-0.16899597644805908,
0.4122888147830963,
0.2858724296092987,
0.2703772485256195,
-0.14165276288986206,
-0.13194596767425537,
0.46327075362205505,
-0.2258068174123764,
0.4788299798965454,
-0.22793690860271454,
-0.002263889880850911,
0.2731257379055023,
-0.29561731219291687,
0.021120797842741013,
0.21801649034023285,
-0.04656475409865379,
-0.05527111142873764,
-0.0661938264966011,
0.3710584342479706,
-0.36957669258117676,
0.1385297328233719,
0.017573844641447067,
-0.04477107152342796,
0.10005279630422592,
-0.28728124499320984,
-0.14379754662513733,
-0.4895390272140503,
0.5787158608436584,
-0.15024621784687042,
-0.2525637447834015,
0.02148449420928955,
-0.13383252918720245,
0.01638254150748253,
0.37939906120300293,
0.06490432471036911,
-0.09646505117416382,
-0.03197634220123291,
-0.016053060069680214,
-0.20027048885822296,
0.05359133705496788,
0.24537506699562073,
0.5202925801277161,
0.13648900389671326,
0.026375271379947662,
0.09233337640762329,
-0.16415871679782867,
-0.3306785821914673,
0.1524430364370346,
-0.06436366587877274,
0.08235184848308563,
0.36921700835227966,
0.17514647543430328,
-0.002143571153283119,
-0.5159096121788025,
0.1042153388261795,
0.21197234094142914,
0.2446637898683548,
-0.3040996193885803,
-0.1348416805267334,
-0.36489394307136536,
-0.386615514755249,
-0.266776978969574,
-0.19045580923557281,
-0.3162628710269928,
-0.3300527036190033,
0.20578348636627197,
0.28559064865112305,
-0.11775808036327362,
0.15927386283874512,
-0.09243586659431458,
0.06076815351843834,
-0.3277832269668579,
0.009110375307500362,
-0.10953298956155777,
-0.275867760181427,
-0.2055220752954483,
-0.050362423062324524,
0.10383976250886917,
0.32214972376823425,
0.18946237862110138,
-0.356062650680542,
-0.19915369153022766,
-0.07048135995864868,
-0.3379550576210022,
0.04746352136135101,
-0.08756743371486664,
-0.07165787369012833,
0.08050350844860077,
-0.06838131695985794,
0.3928326666355133,
-0.15853282809257507,
0.14054273068904877,
-0.2609809935092926,
-0.30935055017471313,
-0.04161081463098526,
0.17137882113456726,
0.19560883939266205,
-0.1676418036222458,
-0.5419092178344727,
-0.2437300682067871,
-0.3634907305240631,
-0.015157089568674564,
0.2141260802745819,
0.18519483506679535,
0.17180363833904266,
-0.13248242437839508,
-0.2091616839170456,
-0.1113305538892746,
0.25094616413116455,
-0.3925289809703827,
-0.1390978842973709,
0.19587832689285278,
-0.07682496309280396,
-0.13032099604606628,
-0.07141608744859695,
0.10173924267292023,
-0.0858050137758255,
0.07061292231082916,
-0.623704195022583,
-0.2201807200908661,
-0.241982564330101,
-0.0938950628042221,
-0.30282989144325256,
-0.17801013588905334,
0.5007234811782837,
-0.045411765575408936,
-0.004133107606321573,
0.08094992488622665,
-0.45969557762145996,
0.017947647720575333,
0.13317011296749115,
0.4873122572898865,
-0.1790710836648941,
0.23810629546642303,
-0.019555862993001938,
0.5533110499382019,
0.5295944213867188,
0.05317655950784683,
-0.009989600628614426,
0.16884249448776245,
0.22626559436321259,
0.040081750601530075,
-0.13294917345046997,
0.33300819993019104,
-0.06891188025474548,
0.03726252168416977,
0.3456495404243469,
0.10086365044116974,
-0.14929641783237457,
-0.14536269009113312,
-0.16621951758861542,
-0.3622745871543884,
-0.18016979098320007,
0.1373780369758606,
-0.1392013281583786,
0.12042450904846191,
0.2959349751472473,
0.14354240894317627,
-0.17569293081760406,
-0.47165849804878235,
-0.008708767592906952,
0.24278424680233002,
0.14365431666374207,
0.1978633552789688,
-0.457914263010025,
0.17113959789276123,
-0.5147837996482849,
0.26574864983558655,
0.1584012657403946,
0.26466092467308044,
-0.1318330615758896,
-0.14703157544136047,
0.0993957594037056,
-0.17282640933990479,
0.394021213054657,
-0.4049489498138428,
-0.07724948972463608,
-0.07967538386583328,
-0.0167161226272583,
-0.3363563120365143,
-0.17841491103172302,
-0.03545190766453743,
0.30832505226135254,
0.4751308858394623,
0.49083855748176575,
-0.39141038060188293,
-0.15796473622322083,
0.1868768334388733,
-0.00967000238597393,
-0.13670486211776733,
-0.1370304822921753,
-0.22997349500656128,
-0.38902607560157776,
-0.27632537484169006,
-0.11392250657081604,
-0.13009323179721832,
0.3114844858646393,
0.02537461556494236,
0.016825763508677483,
0.12226467579603195,
0.09885254502296448,
0.2510804235935211,
0.18979115784168243,
0.1321551501750946,
0.025374621152877808,
0.07778124511241913,
0.383108526468277,
0.5103029608726501,
0.036919619888067245,
0.6296113133430481,
-0.010879415087401867,
-0.037916794419288635,
-0.08799190074205399,
-0.08143600076436996,
0.027406811714172363,
0.550567090511322,
0.20019087195396423,
0.0538073368370533,
0.1374892145395279,
0.010431629605591297,
-0.414275199174881,
-0.040837857872247696,
0.11529874801635742,
-0.08835182338953018,
-0.4278702735900879,
-0.29411065578460693,
0.31697896122932434,
0.23538480699062347,
-0.13394224643707275,
-0.13132084906101227,
-0.13563509285449982,
-0.2719821631908417,
0.24533551931381226,
0.055233705788850784,
1.0419281721115112,
0.20728415250778198,
0.04186470806598663,
-0.05581317096948624,
-0.14920100569725037,
0.9380418062210083,
-0.300078421831131,
0.4176374673843384,
-0.35171064734458923,
-0.1780041605234146,
-0.057503558695316315,
-0.14746706187725067,
0.03603379800915718,
0.09087706357240677,
-0.15406063199043274,
0.37495219707489014,
0.2888358533382416,
0.05044002830982208,
-0.12973564863204956,
0.42349565029144287,
-0.24959734082221985,
-0.15231451392173767,
-0.3030512034893036,
0.017057307064533234,
-0.30228376388549805,
0.5400665402412415,
-0.03814329579472542,
-0.07119659334421158,
-0.08948380500078201,
-0.20423318445682526,
-0.37206536531448364,
0.252585768699646,
0.024172693490982056,
0.12936724722385406,
0.23180124163627625,
-0.1961919367313385,
-0.07764165103435516,
0.10560780763626099,
0.4005056917667389,
-0.16487476229667664,
-0.1290959268808365,
-0.006211291998624802,
-0.14600776135921478,
-0.12728780508041382,
0.11892896890640259,
0.09156037122011185,
0.28809744119644165,
-0.09807223826646805,
-0.030079998075962067,
-0.01380288414657116,
-0.14492270350456238,
-0.3308664858341217,
-0.2484138458967209,
-0.05192253738641739,
-0.16080942749977112,
-0.22444908320903778,
-0.014996140263974667,
0.1725158989429474,
-0.028157642111182213,
-0.13444571197032928,
0.020831534639000893,
-0.047644905745983124,
-0.16959379613399506,
0.11480879038572311,
-0.09480107575654984,
-0.3547864258289337,
-0.18660888075828552,
0.4653010964393616,
0.41192227602005005,
-0.13000524044036865,
0.48891645669937134,
-0.10779165476560593,
-0.047152452170848846,
-0.16125038266181946,
-0.18598589301109314,
-0.262263685464859,
-0.4254761338233948,
0.2058078646659851,
-0.21055278182029724,
-0.17630617320537567,
0.20774608850479126,
0.2605409026145935,
0.23746633529663086,
0.3127461373806,
-0.013969340361654758,
-0.48175349831581116,
-0.03925470635294914,
0.13603469729423523,
-0.011188521049916744,
0.09119043499231339,
-0.02453990839421749,
0.3797798752784729,
-0.24098186194896698,
0.3181023895740509,
-0.21519352495670319,
0.0392879843711853,
-0.3406299948692322,
0.3029211759567261,
0.19331961870193481,
-0.13923437893390656,
0.06780225038528442,
0.012920859269797802,
-0.14105574786663055,
0.26413580775260925,
-0.10220276564359665,
-0.017113177105784416,
-0.14058798551559448,
0.19693763554096222,
0.15148590505123138,
-0.11185362935066223,
-0.15570734441280365,
0.079828642308712,
0.06451985239982605,
0.0160156711935997,
0.06329832226037979,
0.28377798199653625,
0.06752466410398483,
0.30502891540527344,
-0.28709176182746887,
-0.039535023272037506,
0.000517253065481782,
0.19909077882766724,
-0.24377425014972687,
0.2209278643131256,
-0.03934994339942932,
0.2127683013677597,
-0.16374027729034424,
0.05937040224671364,
-0.09963280707597733,
0.0008997877594083548,
0.08639179170131683,
0.08966068923473358,
0.08942961692810059,
-0.25115707516670227,
0.03479785844683647,
0.2602267563343048,
0.053794976323843,
0.5116798877716064,
-0.08315594494342804,
-0.15430867671966553,
0.12484146654605865,
0.08711441606283188,
-0.141017347574234,
-0.06204913556575775,
0.3102421760559082,
-0.0773712769150734,
-0.09638036042451859,
0.3810332417488098,
0.173047736287117,
-0.12971511483192444,
-0.14074619114398956,
0.10686618089675903,
0.45320653915405273,
-0.19162830710411072,
0.15098369121551514,
0.12681451439857483,
-0.10557380318641663,
-0.08674190193414688,
0.37435027956962585,
-0.20107775926589966,
0.12214735895395279,
0.11047101765871048,
0.04505368322134018,
0.3720737397670746,
0.054727960377931595,
0.45312878489494324,
-0.1651650220155716,
-0.15896669030189514,
-0.03961080685257912,
0.6585911512374878,
0.1879720687866211,
0.4303010404109955,
0.1421816647052765,
0.5052540898323059,
-0.3357347249984741,
-0.015216338448226452,
-0.3209923505783081,
0.021359430626034737,
-0.09274664521217346,
-0.1665070652961731,
-0.30164197087287903,
-0.11755875498056412,
-0.10489492863416672,
0.15447787940502167,
-0.15096986293792725,
0.05504477396607399,
0.4208003580570221,
-0.06759705394506454,
-0.29463058710098267,
-0.5726765394210815,
-0.0037669860757887363,
0.055578216910362244,
0.2770497798919678,
-0.22729730606079102,
0.2844376266002655,
0.07585018873214722,
-0.20439910888671875,
0.3192937970161438,
0.6775819063186646,
0.5208286046981812,
0.23217296600341797,
-0.03278952091932297,
-0.07751891016960144,
0.07033353298902512,
0.12693901360034943,
0.2107742577791214,
0.7450392842292786,
0.29596900939941406,
-0.3133506178855896,
0.27542489767074585,
-0.03803376108407974,
-0.11196880042552948,
0.3472534418106079,
0.025003891438245773,
0.07327745109796524,
-0.03658033162355423,
0.38708585500717163,
-0.1618288904428482,
0.0833641067147255,
-0.06547283381223679,
0.09793011099100113,
-0.32492464780807495,
-0.21097297966480255,
0.16343837976455688,
-0.172527015209198,
0.30173975229263306,
-0.08095704764127731,
0.04415689408779144,
-0.24738383293151855,
0.5227414965629578,
0.5025145411491394,
-0.31866154074668884,
-0.150527223944664,
-0.026378676295280457,
-0.5267682671546936,
0.29629501700401306,
-0.3916662931442261,
-0.08136048167943954,
-0.20274877548217773,
0.44821131229400635,
-0.19692012667655945,
0.2801702916622162,
-0.17557309567928314,
0.41491878032684326,
-0.07420191913843155,
-0.018937231972813606,
-0.23684760928153992,
0.07650040835142136,
-0.031340643763542175,
-0.19340305030345917,
0.07157577574253082,
-0.24616380035877228,
0.2173757255077362,
0.15779562294483185,
-0.10438935458660126,
0.03160826861858368,
0.10152042657136917,
-0.01613362319767475,
0.390072226524353,
-0.07530275732278824,
0.5313581228256226,
0.2922847270965576,
-0.03974778950214386,
-0.2839519679546356,
-0.14522980153560638,
-0.4025913178920746,
-0.31096357107162476,
0.34221428632736206,
0.20279109477996826,
0.4863949120044708,
-0.22397997975349426,
0.4722752273082733,
-0.16622591018676758,
0.3110296428203583,
0.02751230262219906,
-0.06190120056271553,
-0.31948965787887573,
-0.02634184993803501,
-0.17405222356319427,
0.044957783073186874,
0.20531389117240906,
0.5501673221588135,
0.14749214053153992,
0.05282975733280182,
-0.26446643471717834,
-0.4141327738761902,
0.3889920115470886,
-0.38547855615615845,
0.00392143102362752,
0.07363033294677734,
0.23610730469226837,
0.274517685174942,
-0.20531943440437317,
-0.7636080384254456,
0.04344790428876877,
0.22158879041671753,
-0.13191282749176025,
-0.00814608484506607,
0.06734839081764221,
-0.188516765832901,
-0.27262768149375916,
-0.014860769733786583,
-0.177165225148201,
0.36956942081451416,
-0.40832605957984924,
0.4173520803451538,
-0.019796645268797874
] |
https://github.com/huggingface/datasets/issues/215 | NonMatchingSplitsSizesError when loading blog_authorship_corpus | Yes I think this might not be documented well enough. Let’s add it to the doc @lhoestq @SBrandeis.
And everything on how to control the cache behavior better (removing, overriding, changing the path, etc) | Getting this error when i run `nlp.load_dataset('blog_authorship_corpus')`.
```
raise NonMatchingSplitsSizesError(str(bad_splits))
nlp.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train',
num_bytes=610252351, num_examples=532812, dataset_name='blog_authorship_corpus'),
'recorded': SplitInfo(name='train', num_bytes=616473500, num_examples=536323,
dataset_name='blog_authorship_corpus')}, {'expected': SplitInfo(name='validation',
num_bytes=37500394, num_examples=31277, dataset_name='blog_authorship_corpus'),
'recorded': SplitInfo(name='validation', num_bytes=30786661, num_examples=27766,
dataset_name='blog_authorship_corpus')}]
```
Upon checking it seems like there is a disparity between the information in `datasets/blog_authorship_corpus/dataset_infos.json` and what was downloaded. Although I can get away with this by passing `ignore_verifications=True` in `load_dataset`, I'm thinking doing so might give problems later on. | 34 | NonMatchingSplitsSizesError when loading blog_authorship_corpus
Getting this error when i run `nlp.load_dataset('blog_authorship_corpus')`.
```
raise NonMatchingSplitsSizesError(str(bad_splits))
nlp.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train',
num_bytes=610252351, num_examples=532812, dataset_name='blog_authorship_corpus'),
'recorded': SplitInfo(name='train', num_bytes=616473500, num_examples=536323,
dataset_name='blog_authorship_corpus')}, {'expected': SplitInfo(name='validation',
num_bytes=37500394, num_examples=31277, dataset_name='blog_authorship_corpus'),
'recorded': SplitInfo(name='validation', num_bytes=30786661, num_examples=27766,
dataset_name='blog_authorship_corpus')}]
```
Upon checking it seems like there is a disparity between the information in `datasets/blog_authorship_corpus/dataset_infos.json` and what was downloaded. Although I can get away with this by passing `ignore_verifications=True` in `load_dataset`, I'm thinking doing so might give problems later on.
Yes I think this might not be documented well enough. Let’s add it to the doc @lhoestq @SBrandeis.
And everything on how to control the cache behavior better (removing, overriding, changing the path, etc) | [
-0.047863151878118515,
0.27813613414764404,
0.0776575431227684,
0.3915250599384308,
-0.10355405509471893,
0.03640417009592056,
-0.08268307894468307,
0.2459602653980255,
-0.0835331454873085,
0.04618614912033081,
0.08917726576328278,
0.1745031774044037,
0.04060787707567215,
-0.15940971672534943,
0.017909089103341103,
0.05279991030693054,
-0.0644669234752655,
0.12483152002096176,
0.1059795394539833,
0.04289756342768669,
-0.010563766583800316,
0.3961234986782074,
-0.19377809762954712,
-0.04041977971792221,
-0.30533409118652344,
-0.233677938580513,
0.029021982103586197,
0.23348209261894226,
0.04022783786058426,
-0.4769922196865082,
0.24664737284183502,
0.056629035621881485,
0.10053170472383499,
0.1670154184103012,
-0.00012176284508313984,
-0.0632687583565712,
0.5389476418495178,
-0.19484315812587738,
-0.2518872916698456,
-0.02978958934545517,
-0.38360336422920227,
-0.2797573506832123,
0.0038725154008716345,
-0.2842758297920227,
0.01517886109650135,
0.023536739870905876,
0.17921555042266846,
-0.16523925960063934,
0.2291368693113327,
0.30275893211364746,
0.12136092782020569,
0.10980737954378128,
-0.18810977041721344,
0.16789405047893524,
0.17320458590984344,
-0.027630388736724854,
-0.06475881487131119,
-0.15657763183116913,
-0.11170952022075653,
-0.28193074464797974,
-0.24037209153175354,
0.45989346504211426,
-0.23572349548339844,
0.15005958080291748,
0.26409223675727844,
0.08830901980400085,
0.32167693972587585,
-0.08726507425308228,
0.013094069436192513,
0.39029133319854736,
0.586207926273346,
-0.046833451837301254,
-0.2849667966365814,
-0.49856653809547424,
-0.1296737641096115,
0.028640126809477806,
0.5057656764984131,
0.2795499861240387,
-0.15703818202018738,
0.0537014864385128,
-0.4670754075050354,
-0.1777775138616562,
-0.05261118710041046,
-0.0008108822512440383,
0.3168705403804779,
0.19807390868663788,
0.12562760710716248,
-0.05163551867008209,
0.030756013467907906,
-0.010176761075854301,
0.2684493362903595,
-0.18168959021568298,
-0.12499304860830307,
0.08544939756393433,
-0.2321663796901703,
-0.20516344904899597,
-0.02672516368329525,
0.09116481989622116,
0.2567504048347473,
0.21745680272579193,
0.4005259871482849,
0.005886316765099764,
0.2139706015586853,
0.1242160052061081,
0.33585792779922485,
0.20841912925243378,
-0.014871146529912949,
0.39324358105659485,
0.15307891368865967,
-0.002486474346369505,
0.13733002543449402,
0.05757516995072365,
0.35157960653305054,
-0.20486567914485931,
-0.011022728867828846,
0.20190498232841492,
0.15973465144634247,
-0.48777610063552856,
-0.3507693409919739,
0.1007281094789505,
-0.3997795879840851,
-0.2605063319206238,
-0.05867178365588188,
0.24248559772968292,
-0.37205642461776733,
0.3226315975189209,
-0.269064337015152,
-0.03352263197302818,
-0.4499548077583313,
-0.12790562212467194,
-0.2333000749349594,
0.17981594800949097,
-0.14685606956481934,
0.3382389545440674,
0.2391369640827179,
-0.07944665104150772,
0.3943142294883728,
-0.16760492324829102,
-0.09943599253892899,
-0.1319217085838318,
0.3565538823604584,
-0.10957316309213638,
0.08933702111244202,
0.20857876539230347,
-0.0928037017583847,
0.15524999797344208,
-0.04847068339586258,
-0.09950092434883118,
-0.48516032099723816,
0.041017673909664154,
-0.32748943567276,
-0.6717565655708313,
0.09786254167556763,
0.11474655568599701,
-0.3720287084579468,
-0.049001552164554596,
0.1598808914422989,
0.30459141731262207,
0.5192115306854248,
-0.379810631275177,
0.0015791594050824642,
-0.08771204948425293,
-0.19829106330871582,
-0.15863658487796783,
-0.1705338954925537,
0.5231297016143799,
0.07261832058429718,
-0.306856244802475,
0.12426751106977463,
0.01171808410435915,
0.48262178897857666,
0.36976712942123413,
-0.035665132105350494,
0.1533680409193039,
-0.16418732702732086,
0.35587453842163086,
0.17119823396205902,
-0.41636425256729126,
-0.2768099308013916,
0.380389541387558,
0.10637632012367249,
0.27490147948265076,
0.24967393279075623,
0.12377031147480011,
0.2442072480916977,
-0.1929769515991211,
0.0163564570248127,
0.42986124753952026,
-0.06306622922420502,
0.09338262677192688,
-0.5093788504600525,
-0.41878798604011536,
0.43633052706718445,
0.11583733558654785,
0.06944510340690613,
0.03629525005817413,
-0.0036747667472809553,
0.4742714464664459,
0.1634601205587387,
-0.08560086786746979,
0.09851223975419998,
0.25446817278862,
-0.34776726365089417,
0.13968198001384735,
0.08394356071949005,
-0.07341723889112473,
-0.49339497089385986,
-0.029928816482424736,
-0.27951493859291077,
0.17815463244915009,
0.1481744945049286,
-0.3201978802680969,
-0.0982881709933281,
-0.47745218873023987,
-0.09373929351568222,
-0.1365208774805069,
0.029480576515197754,
0.20342375338077545,
0.5127826929092407,
0.08227599412202835,
0.019413966685533524,
0.5455960035324097,
-0.006967963185161352,
0.1613590568304062,
-0.8287144303321838,
0.06388108432292938,
-0.13689163327217102,
-0.1838446706533432,
0.3626120984554291,
0.35950547456741333,
0.21638256311416626,
-0.05094444751739502,
-0.0946408361196518,
0.5340723395347595,
-0.14141760766506195,
0.4370483160018921,
-0.22054420411586761,
0.1521023064851761,
0.24981950223445892,
-0.20668917894363403,
0.11677256971597672,
0.21492594480514526,
-0.1372481882572174,
-0.0022527535911649466,
-0.09489598125219345,
0.3331184685230255,
-0.3746820092201233,
0.08620306104421616,
0.06745541095733643,
-0.10661504417657852,
0.05747590586543083,
-0.2557363510131836,
-0.27272456884384155,
-0.45996853709220886,
0.5414720177650452,
-0.05310400575399399,
-0.23666363954544067,
0.013625831343233585,
-0.11991278827190399,
0.10137099772691727,
0.4620297849178314,
0.10436466336250305,
-0.015319294296205044,
-0.06299596279859543,
0.09480494260787964,
-0.25104647874832153,
0.20877361297607422,
0.21671496331691742,
0.46867281198501587,
0.15137308835983276,
0.07372031360864639,
0.019000492990016937,
-0.18847407400608063,
-0.33689555525779724,
0.10088247805833817,
-0.016211437061429024,
-0.02424059621989727,
0.2759978473186493,
0.011330530978739262,
-0.001432315562851727,
-0.3033413589000702,
0.022108303382992744,
0.1912079006433487,
0.17614959180355072,
-0.33251315355300903,
-0.06196743994951248,
-0.39287176728248596,
-0.32350051403045654,
-0.2495741844177246,
-0.13010668754577637,
-0.20251081883907318,
-0.35886093974113464,
0.302448034286499,
0.16726437211036682,
-0.2591959238052368,
0.1308683156967163,
-0.25160038471221924,
0.18590442836284637,
-0.276306688785553,
-0.10526437312364578,
-0.07306012511253357,
-0.277865469455719,
-0.27610263228416443,
-0.06377263367176056,
0.11679238826036453,
0.31539809703826904,
0.31786832213401794,
-0.41521814465522766,
-0.21306519210338593,
0.04067404195666313,
-0.3145895302295685,
0.0671834722161293,
0.059937406331300735,
-0.10611604154109955,
0.10012239217758179,
-0.21414683759212494,
0.37403467297554016,
-0.22101689875125885,
-0.05585498735308647,
-0.2211209237575531,
-0.252110093832016,
-0.06747788190841675,
0.2016219198703766,
0.245502769947052,
-0.19950589537620544,
-0.5588034987449646,
-0.3258545398712158,
-0.36632636189460754,
-0.05701996386051178,
0.10900750011205673,
0.29956376552581787,
0.08219227194786072,
-0.21077017486095428,
-0.21016067266464233,
-0.18786467611789703,
0.31254035234451294,
-0.3795470595359802,
-0.16327343881130219,
0.3584213852882385,
-0.1916775405406952,
-0.07630955427885056,
0.044110219925642014,
-0.04246676340699196,
-0.07117635756731033,
0.12719465792179108,
-0.5488823652267456,
-0.17458409070968628,
-0.11559607833623886,
-0.04159959405660629,
-0.21918228268623352,
-0.22065365314483643,
0.6390054821968079,
-0.044647011905908585,
0.04780681058764458,
0.0388735793530941,
-0.361352801322937,
0.07012827694416046,
0.0347481444478035,
0.5672551393508911,
-0.04162050411105156,
0.23606432974338531,
0.0665677934885025,
0.5585219264030457,
0.47468918561935425,
0.14414550364017487,
-0.024808797985315323,
0.30200445652008057,
0.17004087567329407,
0.08520074933767319,
0.09485143423080444,
0.3581473231315613,
-0.07355312258005142,
-0.20108556747436523,
0.357281893491745,
0.1408153921365738,
-0.14786845445632935,
-0.08919988572597504,
-0.04618241637945175,
-0.2848125100135803,
-0.26708975434303284,
0.1735619306564331,
-0.3263130784034729,
0.20595712959766388,
0.2735859751701355,
0.18179230391979218,
-0.16912174224853516,
-0.47976386547088623,
0.05117829144001007,
0.32504335045814514,
0.25479111075401306,
0.2598884105682373,
-0.4101261496543884,
0.18531866371631622,
-0.5481981635093689,
0.16737167537212372,
0.12330997735261917,
0.2695996165275574,
-0.1897914558649063,
-0.1771593540906906,
0.04420514404773712,
-0.151192307472229,
0.2935729920864105,
-0.5013002157211304,
-0.010341248475015163,
-0.11806618422269821,
-0.0182663481682539,
-0.19106526672840118,
-0.175484299659729,
0.017090367153286934,
0.30750223994255066,
0.4353831708431244,
0.31083598732948303,
-0.4779394567012787,
-0.07290174067020416,
0.11803160607814789,
-0.08828973770141602,
-0.14250555634498596,
-0.22670301795005798,
-0.17830847203731537,
-0.2467595338821411,
-0.17376427352428436,
-0.14634308218955994,
-0.06844274699687958,
0.20476171374320984,
-0.0036699664779007435,
0.05763475224375725,
0.07807642221450806,
0.1945190280675888,
0.2609218657016754,
0.23615556955337524,
0.24638903141021729,
-0.07365652918815613,
0.1055096983909607,
0.3441770672798157,
0.3810717463493347,
0.04580065608024597,
0.4809649586677551,
-0.04737796261906624,
-0.03335319831967354,
0.03335155174136162,
-0.1582031548023224,
-0.055853940546512604,
0.4643758237361908,
0.14981043338775635,
0.0582268089056015,
0.04612589254975319,
-0.11693387478590012,
-0.3775768578052521,
0.0007062402437441051,
-0.05507654324173927,
-0.1400311291217804,
-0.2999066114425659,
-0.4009567201137543,
0.2616017162799835,
0.34820184111595154,
-0.1439933031797409,
-0.1402902603149414,
-0.17629551887512207,
-0.3403507471084595,
0.2590385675430298,
0.2319076657295227,
1.0419527292251587,
0.2871277630329132,
0.07867734879255295,
-0.1415203958749771,
-0.19598744809627533,
0.8950438499450684,
-0.4584694802761078,
0.38842901587486267,
-0.3797580301761627,
-0.16995297372341156,
-0.049717847257852554,
-0.13921774923801422,
0.06719143688678741,
0.07828176021575928,
-0.3491450548171997,
0.44244804978370667,
0.2311290055513382,
0.06170284003019333,
-0.14359508454799652,
0.3393721580505371,
-0.24981428682804108,
-0.18752306699752808,
-0.19505459070205688,
-0.00536996079608798,
-0.23499362170696259,
0.34888187050819397,
-0.009585735388100147,
-0.08522585034370422,
-0.059862349182367325,
-0.18270397186279297,
-0.3571866452693939,
0.11464311927556992,
0.09397128969430923,
0.012489796616137028,
0.23694106936454773,
-0.20036770403385162,
-0.11602877825498581,
0.09369528293609619,
0.366013765335083,
-0.18719890713691711,
-0.16472187638282776,
-0.050345148891210556,
-0.13756614923477173,
-0.07333600521087646,
0.1151702031493187,
0.06339465081691742,
0.34322863817214966,
-0.08296223729848862,
0.06117700785398483,
0.11704806983470917,
-0.19855347275733948,
-0.44435107707977295,
-0.21357275545597076,
-0.13070237636566162,
-0.14821848273277283,
-0.11806513369083405,
-0.023201126605272293,
0.08216463774442673,
-0.013900220394134521,
-0.05310828611254692,
0.042126111686229706,
0.0036887519527226686,
-0.15956872701644897,
0.3063158094882965,
-0.2527935802936554,
-0.2312992811203003,
-0.16731923818588257,
0.38638824224472046,
0.3539518415927887,
-0.022716103121638298,
0.383533775806427,
-0.1494126170873642,
-0.16333311796188354,
-0.14232735335826874,
-0.2202540934085846,
-0.24535754323005676,
-0.3556597828865051,
0.11342185735702515,
-0.3243698477745056,
-0.23751333355903625,
0.09655291587114334,
0.19885803759098053,
0.17593833804130554,
0.39818522334098816,
-0.059355150908231735,
-0.4329325258731842,
-0.08512701839208603,
0.1618925780057907,
-0.08562657237052917,
0.10745802521705627,
-0.034591469913721085,
0.2953036427497864,
-0.23416513204574585,
0.30818501114845276,
-0.2241593450307846,
-0.21442461013793945,
-0.39406847953796387,
0.2727064788341522,
0.08486243337392807,
-0.038590945303440094,
0.014369780197739601,
0.04511474072933197,
-0.21619153022766113,
0.2673089802265167,
-0.16531935334205627,
0.005659222602844238,
-0.05170426517724991,
0.20624296367168427,
0.1315203458070755,
-0.03179614618420601,
-0.185196191072464,
0.1290428191423416,
0.0924130529165268,
0.04547353461384773,
0.028972050175070763,
0.2819375693798065,
0.040343593806028366,
0.40376541018486023,
-0.25698044896125793,
0.084502674639225,
-0.019484397023916245,
0.20341485738754272,
-0.27178552746772766,
0.3247484862804413,
-0.08645539730787277,
0.3065057396888733,
-0.20353463292121887,
0.029181046411395073,
-0.02076403982937336,
0.07677129656076431,
0.1272362470626831,
0.011338782496750355,
0.15322579443454742,
-0.14263609051704407,
0.02795151062309742,
0.27671828866004944,
-0.07625966519117355,
0.5579020977020264,
-0.11840254813432693,
-0.2716970145702362,
0.13532336056232452,
0.0732981488108635,
-0.02431291714310646,
-0.0656943991780281,
0.09087354689836502,
0.027588944882154465,
-0.07582689821720123,
0.42469286918640137,
0.22875241935253143,
-0.13601647317409515,
-0.012512536719441414,
0.23883190751075745,
0.4896007776260376,
-0.26902318000793457,
0.0784410759806633,
0.1427549123764038,
-0.18673263490200043,
0.05787567049264908,
0.39533472061157227,
-0.23366142809391022,
0.14236822724342346,
0.06332098692655563,
0.11303863674402237,
0.4625704884529114,
0.20257821679115295,
0.3750728964805603,
-0.18873663246631622,
-0.10802429914474487,
-0.05696152150630951,
0.6232272982597351,
0.27606910467147827,
0.33051958680152893,
0.19891861081123352,
0.3161478638648987,
-0.14343459904193878,
0.010834557935595512,
-0.33690378069877625,
-0.18920555710792542,
-0.037813059985637665,
-0.1468658298254013,
-0.3757616877555847,
-0.09626253694295883,
-0.08604671061038971,
0.0835808515548706,
-0.13657604157924652,
0.1039004996418953,
0.5570073127746582,
-0.17096593976020813,
-0.1825265735387802,
-0.5047014951705933,
0.2223152369260788,
0.003293423680588603,
0.2047148048877716,
-0.22498634457588196,
0.3006284534931183,
-0.04419228434562683,
-0.20166677236557007,
0.2878987789154053,
0.523901641368866,
0.4250335991382599,
0.29359620809555054,
-0.04037944972515106,
-0.17957104742527008,
0.07012111693620682,
0.1715543121099472,
0.1945973038673401,
0.7336784601211548,
0.22640864551067352,
-0.36697831749916077,
0.27984827756881714,
-0.07750452309846878,
-0.04813354089856148,
0.4749352037906647,
0.010236678645014763,
0.032687585800886154,
-0.027301542460918427,
0.4250287711620331,
0.01057647168636322,
0.11824992299079895,
0.1175379827618599,
0.1492505818605423,
-0.22901619970798492,
-0.28582504391670227,
0.13254649937152863,
-0.17832864820957184,
0.287056565284729,
-0.1423877775669098,
0.04563356563448906,
-0.20899400115013123,
0.6096136569976807,
0.457562118768692,
-0.23569628596305847,
-0.22168295085430145,
0.0019245706498622894,
-0.5511800050735474,
0.33748605847358704,
-0.361329585313797,
-0.20019222795963287,
-0.17516082525253296,
0.5507525205612183,
-0.34127411246299744,
0.3287827670574188,
-0.3048568665981293,
0.31894829869270325,
-0.03687421604990959,
0.03029712848365307,
-0.2732526361942291,
-0.09151332080364227,
-0.08998378366231918,
-0.14913113415241241,
0.0885564312338829,
-0.2684875428676605,
0.25103873014450073,
0.23709242045879364,
-0.10101079195737839,
-0.020665530115365982,
-0.02704506926238537,
0.17944811284542084,
0.5358684062957764,
-0.02898741327226162,
0.5525880455970764,
0.21866686642169952,
-0.11766799539327621,
-0.17617957293987274,
-0.215385302901268,
-0.24386994540691376,
-0.30985110998153687,
0.15333831310272217,
0.13062886893749237,
0.30935123562812805,
-0.27565696835517883,
0.49835988879203796,
-0.14632421731948853,
0.41652798652648926,
-0.01682974584400654,
0.008334715850651264,
-0.23042751848697662,
-0.0479775108397007,
-0.09355030208826065,
0.12309963256120682,
0.18964484333992004,
0.4126790761947632,
0.17846421897411346,
0.1410260945558548,
-0.1901102215051651,
-0.3322606086730957,
0.3096320927143097,
-0.3596901297569275,
0.08010423183441162,
-0.035427115857601166,
0.26248687505722046,
0.27984482049942017,
-0.24873392283916473,
-0.7318597435951233,
-0.0688432827591896,
0.2349819391965866,
-0.12555186450481415,
0.06184467673301697,
0.04573842138051987,
-0.11327055841684341,
-0.20846401154994965,
-0.09276966750621796,
-0.1714310348033905,
0.28795892000198364,
-0.3046324551105499,
0.34687158465385437,
-0.15724092721939087
] |
https://github.com/huggingface/datasets/issues/211 | [Arrow writer, Trivia_qa] Could not convert TagMe with type str: converting to null type | Here the full error trace:
```
ArrowInvalid Traceback (most recent call last)
<ipython-input-1-7aaf3f011358> in <module>
1 import nlp
2 ds = nlp.load_dataset("trivia_qa", "rc", split="validation[:1%]") # this might take 2.3 min to download but it's cached afterwards...
----> 3 ds.map(lambda x: x, load_from_cache_file=False)
~/python_bin/nlp/arrow_dataset.py in map(self, function, with_indices, batched, batch_size, remove_columns, keep_in_memory, load_from_cache_file, cache_file_name, writer_batch_size, arrow_schema, disable_nullable)
549
550 if update_data:
--> 551 writer.finalize() # close_stream=bool(buf_writer is None)) # We only close if we are writing in a file
552
553 # Create new Dataset from buffer or file
~/python_bin/nlp/arrow_writer.py in finalize(self, close_stream)
182 def finalize(self, close_stream=True):
183 if self.pa_writer is not None:
--> 184 self.write_on_file()
185 self.pa_writer.close()
186 if close_stream:
~/python_bin/nlp/arrow_writer.py in write_on_file(self)
104 """
105 if self.current_rows:
--> 106 pa_array = pa.array(self.current_rows, type=self._type)
107 first_example = pa.array(self.current_rows[0:1], type=self._type)[0]
108 # Sanity check
~/hugging_face/venv_3.7/lib/python3.7/site-packages/pyarrow/array.pxi in pyarrow.lib.array()
~/hugging_face/venv_3.7/lib/python3.7/site-packages/pyarrow/array.pxi in pyarrow.lib._sequence_to_array()
~/hugging_face/venv_3.7/lib/python3.7/site-packages/pyarrow/error.pxi in pyarrow.lib.check_status()
ArrowInvalid: Could not convert TagMe with type str: converting to null type
``` | Running the following code
```
import nlp
ds = nlp.load_dataset("trivia_qa", "rc", split="validation[:1%]") # this might take 2.3 min to download but it's cached afterwards...
ds.map(lambda x: x, load_from_cache_file=False)
```
triggers a `ArrowInvalid: Could not convert TagMe with type str: converting to null type` error.
On the other hand if we remove a certain column of `trivia_qa` which seems responsible for the bug, it works:
```
import nlp
ds = nlp.load_dataset("trivia_qa", "rc", split="validation[:1%]") # this might take 2.3 min to download but it's cached afterwards...
ds.map(lambda x: x, remove_columns=["entity_pages"], load_from_cache_file=False)
```
. Seems quite hard to debug what's going on here... @lhoestq @thomwolf - do you have a good first guess what the problem could be?
**Note** BTW: I think this could be a good test to check that the datasets work correctly: Take a tiny portion of the dataset and check that it can be written correctly. | 155 | [Arrow writer, Trivia_qa] Could not convert TagMe with type str: converting to null type
Running the following code
```
import nlp
ds = nlp.load_dataset("trivia_qa", "rc", split="validation[:1%]") # this might take 2.3 min to download but it's cached afterwards...
ds.map(lambda x: x, load_from_cache_file=False)
```
triggers a `ArrowInvalid: Could not convert TagMe with type str: converting to null type` error.
On the other hand if we remove a certain column of `trivia_qa` which seems responsible for the bug, it works:
```
import nlp
ds = nlp.load_dataset("trivia_qa", "rc", split="validation[:1%]") # this might take 2.3 min to download but it's cached afterwards...
ds.map(lambda x: x, remove_columns=["entity_pages"], load_from_cache_file=False)
```
. Seems quite hard to debug what's going on here... @lhoestq @thomwolf - do you have a good first guess what the problem could be?
**Note** BTW: I think this could be a good test to check that the datasets work correctly: Take a tiny portion of the dataset and check that it can be written correctly.
Here the full error trace:
```
ArrowInvalid Traceback (most recent call last)
<ipython-input-1-7aaf3f011358> in <module>
1 import nlp
2 ds = nlp.load_dataset("trivia_qa", "rc", split="validation[:1%]") # this might take 2.3 min to download but it's cached afterwards...
----> 3 ds.map(lambda x: x, load_from_cache_file=False)
~/python_bin/nlp/arrow_dataset.py in map(self, function, with_indices, batched, batch_size, remove_columns, keep_in_memory, load_from_cache_file, cache_file_name, writer_batch_size, arrow_schema, disable_nullable)
549
550 if update_data:
--> 551 writer.finalize() # close_stream=bool(buf_writer is None)) # We only close if we are writing in a file
552
553 # Create new Dataset from buffer or file
~/python_bin/nlp/arrow_writer.py in finalize(self, close_stream)
182 def finalize(self, close_stream=True):
183 if self.pa_writer is not None:
--> 184 self.write_on_file()
185 self.pa_writer.close()
186 if close_stream:
~/python_bin/nlp/arrow_writer.py in write_on_file(self)
104 """
105 if self.current_rows:
--> 106 pa_array = pa.array(self.current_rows, type=self._type)
107 first_example = pa.array(self.current_rows[0:1], type=self._type)[0]
108 # Sanity check
~/hugging_face/venv_3.7/lib/python3.7/site-packages/pyarrow/array.pxi in pyarrow.lib.array()
~/hugging_face/venv_3.7/lib/python3.7/site-packages/pyarrow/array.pxi in pyarrow.lib._sequence_to_array()
~/hugging_face/venv_3.7/lib/python3.7/site-packages/pyarrow/error.pxi in pyarrow.lib.check_status()
ArrowInvalid: Could not convert TagMe with type str: converting to null type
``` | [
0.04782375693321228,
-0.014994163997471333,
0.09996074438095093,
0.4827658534049988,
0.25262361764907837,
0.11827056854963303,
0.12425896525382996,
0.46299809217453003,
0.20459362864494324,
-0.11430183053016663,
0.19549207389354706,
0.5628964900970459,
-0.11229002475738525,
-0.21451012790203094,
-0.0685441866517067,
-0.18655332922935486,
0.11651556193828583,
0.2422814518213272,
-0.003950863610953093,
-0.019452542066574097,
-0.12144756317138672,
0.12436140328645706,
-0.264439195394516,
0.1609533578157425,
-0.4509817659854889,
-0.13436345756053925,
0.10060359537601471,
0.0705767348408699,
-0.16652897000312805,
-0.45291194319725037,
0.13311581313610077,
-0.38631612062454224,
-0.014493754133582115,
0.26769036054611206,
-0.0001202561252284795,
-0.10239160060882568,
0.3526800274848938,
0.048439547419548035,
-0.2610155940055847,
-0.24791744351387024,
-0.4819882810115814,
0.09865797311067581,
0.30856263637542725,
-0.05106065049767494,
0.2251928597688675,
0.02437903918325901,
0.02387930639088154,
-0.597424328327179,
0.18228361010551453,
0.5890494585037231,
0.18119469285011292,
0.31175026297569275,
-0.05861680209636688,
0.08240789920091629,
0.227017343044281,
0.08643096685409546,
-0.3474985957145691,
0.15860100090503693,
-0.041864488273859024,
-0.16374993324279785,
-0.09725948423147202,
0.42489689588546753,
-0.17378707230091095,
0.12876737117767334,
0.6042652130126953,
0.10137573629617691,
0.10312166064977646,
-0.30099624395370483,
0.18946464359760284,
0.00226260325871408,
0.27389949560165405,
-0.1859186589717865,
-0.08067543059587479,
0.030914420261979103,
-0.14413070678710938,
-0.3694719970226288,
0.20961213111877441,
0.17653004825115204,
-0.3138512074947357,
0.01766207069158554,
0.011314960196614265,
0.08406312763690948,
-0.0632316842675209,
-0.07367515563964844,
-0.05972418561577797,
0.06742032617330551,
0.013082322664558887,
0.11426404118537903,
-0.05431681498885155,
-0.18600478768348694,
-0.1897279918193817,
-0.22003136575222015,
-0.20488370954990387,
0.24149301648139954,
-0.3378821909427643,
0.048407748341560364,
-0.05792529135942459,
-0.20891311764717102,
-0.16488344967365265,
-0.11893334239721298,
0.2784719169139862,
-0.00025343341985717416,
0.14469842612743378,
0.129641592502594,
0.33332526683807373,
0.28613632917404175,
0.32042112946510315,
0.24878492951393127,
0.0986194834113121,
-0.30730584263801575,
-0.18543514609336853,
-0.01363749336451292,
-0.011412332765758038,
-0.009702254086732864,
0.5141094923019409,
0.016387145966291428,
0.3002519905567169,
-0.36010658740997314,
-0.354993999004364,
-0.011048904620110989,
-0.7358065843582153,
0.15996505320072174,
-0.1690237671136856,
0.10665487498044968,
-0.008252542465925217,
0.4835475981235504,
0.24768398702144623,
0.2814030349254608,
-0.3391993045806885,
-0.19262802600860596,
-0.1142076849937439,
-0.004297515377402306,
-0.2985196113586426,
0.015622125007212162,
0.3052986264228821,
-0.036364950239658356,
0.05392255634069443,
0.0657089501619339,
-0.4077068865299225,
-0.20890912413597107,
0.37390899658203125,
-0.42265230417251587,
0.17886844277381897,
-0.008708421140909195,
-0.32873791456222534,
0.41525107622146606,
0.2411910444498062,
-0.40890243649482727,
-0.21291378140449524,
0.1715904176235199,
-0.1304960399866104,
0.03689861297607422,
-0.19280901551246643,
0.12478355318307877,
0.15921320021152496,
-0.2186262458562851,
-0.1702643185853958,
-0.06532536447048187,
0.3925430178642273,
-0.10832763463258743,
0.1037176251411438,
-0.29295575618743896,
-0.040322497487068176,
-0.24107493460178375,
-0.08629407733678818,
0.4788670837879181,
-0.2231428623199463,
0.06661075353622437,
-0.055577926337718964,
0.18355421721935272,
0.36413973569869995,
0.37810957431793213,
-0.02037329226732254,
0.17711471021175385,
0.10718746483325958,
0.28203466534614563,
0.4739590585231781,
-0.30076491832733154,
-0.1000545471906662,
0.09920648485422134,
-0.028821958228945732,
-0.007086336147040129,
-0.041806660592556,
0.12140262871980667,
0.07706907391548157,
-0.12026631087064743,
0.16744688153266907,
0.19477051496505737,
-0.06231988966464996,
0.2353254109621048,
-0.4206894636154175,
-0.10153141617774963,
0.5093362927436829,
-0.17420139908790588,
-0.075660839676857,
0.026094915345311165,
-0.07687550783157349,
0.050202518701553345,
-0.06762714684009552,
-0.013059867545962334,
0.4281768202781677,
0.2600766122341156,
-0.09044022113084793,
-0.08258424699306488,
0.08325596153736115,
-0.1882932335138321,
-0.3873162865638733,
-0.05201730132102966,
-0.10536365211009979,
0.13355955481529236,
-0.1724088490009308,
-0.040386419743299484,
-0.34554463624954224,
0.07457039505243301,
-0.027131395414471626,
-0.19891300797462463,
0.12534494698047638,
0.108247771859169,
0.15891793370246887,
0.05802774429321289,
-0.22786886990070343,
0.12510867416858673,
0.004824083298444748,
0.12739749252796173,
-0.39792555570602417,
-0.14816635847091675,
-0.08023658394813538,
-0.35545381903648376,
-0.0991663783788681,
0.17995978891849518,
0.23762942850589752,
0.16755422949790955,
-0.26986369490623474,
0.18731644749641418,
0.018680358305573463,
0.21714353561401367,
-0.25498166680336,
0.02990170754492283,
0.018767550587654114,
-0.40214958786964417,
0.22020117938518524,
0.3269735872745514,
0.3616490960121155,
-0.24359045922756195,
-0.3964942395687103,
-0.0214628167450428,
0.014600375667214394,
0.5858559608459473,
-0.13255614042282104,
0.10853394865989685,
-0.07677560299634933,
-0.036233074963092804,
0.09410513192415237,
-0.07976371049880981,
0.09601082652807236,
-0.1133069321513176,
0.19795307517051697,
0.2924371063709259,
-0.30972379446029663,
0.27264919877052307,
0.4216947555541992,
0.30024999380111694,
0.1342768520116806,
0.15981072187423706,
-0.33452165126800537,
-0.08566450327634811,
0.26441681385040283,
-0.012384661473333836,
0.4610905051231384,
-0.043286118656396866,
0.2145611047744751,
-0.08492746949195862,
-0.15070249140262604,
-0.14859634637832642,
0.35783982276916504,
-0.09661856293678284,
0.017265560105443,
-0.009265835396945477,
0.4907107651233673,
0.010625896044075489,
-0.17871424555778503,
0.2008916735649109,
0.005513680167496204,
0.23830631375312805,
-0.35528361797332764,
0.32903772592544556,
-0.3391128182411194,
-0.16789540648460388,
-0.3810410797595978,
-0.2544398605823517,
-0.01850913278758526,
-0.5028195381164551,
-0.1405358612537384,
0.07923328876495361,
0.006111367139965296,
0.1203894391655922,
-0.25411662459373474,
-0.1418566107749939,
0.018085014075040817,
-0.11071254312992096,
-0.3347357511520386,
-0.35406163334846497,
-0.37050187587738037,
-0.06328770518302917,
0.46462786197662354,
0.3231956362724304,
0.18738147616386414,
0.05303458124399185,
-0.06295030564069748,
-0.06901048123836517,
-0.360387921333313,
0.030563365668058395,
-0.19892269372940063,
0.057185832411050797,
0.1203935295343399,
0.07613984495401382,
-0.13603056967258453,
-0.12729652225971222,
0.42562049627304077,
0.003183178137987852,
-0.24060207605361938,
0.32919102907180786,
-0.02077125944197178,
0.04902206361293793,
-0.2927950322628021,
-0.48070743680000305,
0.013537724502384663,
-0.46828681230545044,
0.1370299905538559,
-0.11211814731359482,
0.20931914448738098,
0.1776324361562729,
0.12377558648586273,
0.3106846511363983,
-0.05574415624141693,
0.18512533605098724,
0.20702756941318512,
0.36536705493927,
0.6162765026092529,
-0.1331360787153244,
-0.23794686794281006,
0.208466038107872,
-0.07696899026632309,
0.3138103783130646,
0.20748859643936157,
-0.17882099747657776,
0.33277013897895813,
-0.42187827825546265,
0.3207610547542572,
-0.1633075773715973,
-0.13050557672977448,
0.22173579037189484,
0.22102083265781403,
-0.04805256426334381,
-0.06043842434883118,
-0.00751712080091238,
0.2183125764131546,
-0.21776562929153442,
0.15179342031478882,
0.12625296413898468,
0.2142091542482376,
-0.053450003266334534,
0.3817191421985626,
0.14399771392345428,
-0.22840829193592072,
0.2830311954021454,
0.016808755695819855,
-0.04759531468153,
-0.3022206127643585,
-0.2784264385700226,
-0.08813589811325073,
-0.211570143699646,
0.12770849466323853,
-0.17738918960094452,
0.03394472971558571,
-0.4855807423591614,
-0.02226489968597889,
0.2889745533466339,
-0.18293249607086182,
-0.13431291282176971,
0.3022048771381378,
-0.21380212903022766,
0.29014042019844055,
0.13460984826087952,
0.12581974267959595,
-0.1979224532842636,
-0.4124388098716736,
0.0329362228512764,
-0.024656573310494423,
0.15686160326004028,
0.024755064398050308,
-0.10193711519241333,
-0.052897583693265915,
-0.4739769995212555,
0.2884024381637573,
0.1751553863286972,
0.43267539143562317,
-0.07643677294254303,
-0.14325213432312012,
0.19170716404914856,
-0.11351989209651947,
0.298640638589859,
-0.14612405002117157,
-0.027595676481723785,
0.3758090138435364,
0.2723758816719055,
-0.4777472913265228,
0.2693086266517639,
-0.23111553490161896,
0.3493029475212097,
0.26166707277297974,
0.28345468640327454,
-0.3896854817867279,
-0.31311285495758057,
0.25790244340896606,
0.1610284447669983,
0.016652440652251244,
0.08997327089309692,
-0.3169792890548706,
-0.0035179525148123503,
-0.15553443133831024,
-0.08673945814371109,
0.2757052481174469,
0.31060150265693665,
0.08262249082326889,
0.054902222007513046,
-0.33018678426742554,
0.17894931137561798,
0.18064317107200623,
0.026372622698545456,
0.42826685309410095,
-0.3036711812019348,
0.13769066333770752,
-0.15683092176914215,
0.208980530500412,
-0.08677136152982712,
0.32404008507728577,
-0.06348980218172073,
-0.19840160012245178,
0.2668812572956085,
-0.057536520063877106,
0.3644375801086426,
0.32926705479621887,
0.036092936992645264,
0.3470534086227417,
-0.12237449735403061,
-0.09592227637767792,
-0.20330126583576202,
0.02960449457168579,
0.1675887256860733,
-0.0528097040951252,
0.04342694953083992,
-0.21204352378845215,
0.48226696252822876,
0.29814910888671875,
-0.0335705392062664,
0.6272779107093811,
0.13703176379203796,
-0.2833764851093292,
0.23740047216415405,
0.18653222918510437,
1.18215811252594,
0.15122564136981964,
0.14966821670532227,
0.13378271460533142,
-0.43013617396354675,
0.3339077830314636,
0.06193780526518822,
0.32545989751815796,
-0.4628361165523529,
0.32495805621147156,
0.02449791505932808,
-0.16893230378627777,
0.06731438636779785,
-0.033896107226610184,
-0.3024044334888458,
0.08304446190595627,
-0.19602952897548676,
0.3092469871044159,
0.11238639056682587,
0.058070097118616104,
-0.3026755750179291,
-0.31657904386520386,
-0.37491902709007263,
0.080600306391716,
-0.250549852848053,
-0.0766257643699646,
0.11036068946123123,
-0.21556638181209564,
-0.49149376153945923,
-0.04550549015402794,
-0.06853924691677094,
0.11479679495096207,
-0.17067201435565948,
0.046522412449121475,
0.23672977089881897,
-0.1576872318983078,
0.18111805617809296,
0.07256621867418289,
-0.10370845347642899,
-0.06586966663599014,
-0.13383430242538452,
-0.08608843386173248,
0.1967156082391739,
0.10096566379070282,
0.12061937153339386,
-0.07572042942047119,
0.011201257817447186,
0.07623374462127686,
0.024822168052196503,
0.22761733829975128,
-0.36800864338874817,
-0.013540858402848244,
-0.06473197042942047,
0.16641655564308167,
0.1192656010389328,
-0.09275105595588684,
-0.08846437931060791,
0.09907583147287369,
-0.0605180561542511,
0.0031135764438658953,
0.0932030975818634,
0.025668328627943993,
0.15167877078056335,
0.08057030290365219,
-0.15691064298152924,
-0.26000797748565674,
0.2690161168575287,
0.3413315713405609,
0.04775894805788994,
0.24060384929180145,
0.7169964909553528,
0.059508662670850754,
-0.18554100394248962,
-0.17794471979141235,
0.07761194556951523,
-0.052394162863492966,
-0.7310895919799805,
0.32937875390052795,
-0.331417977809906,
-0.22107844054698944,
0.034033603966236115,
0.45446813106536865,
-0.2029375433921814,
0.08033878356218338,
-0.15941329300403595,
-0.2330784648656845,
-0.2189442664384842,
0.17904920876026154,
-0.03060038760304451,
0.034671567380428314,
-0.45244935154914856,
-0.05752820149064064,
0.09664421528577805,
0.1214938759803772,
-0.22719307243824005,
-0.010041228495538235,
-0.17429250478744507,
0.3713478446006775,
0.09213253110647202,
0.032965123653411865,
-0.05073273554444313,
-0.18051062524318695,
-0.01144365593791008,
0.5151128172874451,
-0.09715480357408524,
-0.1443876028060913,
-0.2621203064918518,
0.1471552550792694,
0.07113328576087952,
-0.16618278622627258,
0.07055386155843735,
0.024172445759177208,
0.07843555510044098,
-0.2128690928220749,
-0.151078462600708,
-0.10288633406162262,
-0.1862981617450714,
0.056038763374090195,
-0.08770083636045456,
0.20297840237617493,
-0.17871826887130737,
0.09925492852926254,
-0.14713293313980103,
0.056820690631866455,
-0.2434588074684143,
0.10793520510196686,
0.21070456504821777,
0.05712320655584335,
-0.20819628238677979,
0.048778582364320755,
-0.09463757276535034,
-0.1588643491268158,
0.30473512411117554,
-0.37726378440856934,
-0.1661875993013382,
0.0565507747232914,
-0.19067248702049255,
0.4166315495967865,
-0.09205659478902817,
0.0020526836160570383,
-0.08149801939725876,
0.0977553203701973,
0.07033456116914749,
0.31662604212760925,
-0.17869526147842407,
-0.16311267018318176,
-0.11346375197172165,
0.19117142260074615,
-0.023984557017683983,
-0.1549673080444336,
-0.03029157593846321,
0.09488939493894577,
0.03304680809378624,
-0.4421163499355316,
-0.1640719175338745,
0.1360546499490738,
-0.025478294119238853,
-0.07160701602697372,
0.3569360375404358,
-0.1045391857624054,
0.021537553519010544,
0.020303167402744293,
0.3664785325527191,
0.33404630422592163,
0.4364636242389679,
0.2034333050251007,
-0.06764207035303116,
0.11950613558292389,
-0.02497176267206669,
0.38919946551322937,
0.2442488670349121,
0.15110105276107788,
0.17533648014068604,
0.5244448781013489,
-0.29807913303375244,
-0.3281247317790985,
0.06573379039764404,
0.10832750797271729,
-0.27272358536720276,
-0.08761119842529297,
-0.5703163743019104,
-0.11522719264030457,
-0.44190776348114014,
-0.08809895813465118,
-0.19053824245929718,
0.25448861718177795,
0.6928650140762329,
0.2337900847196579,
0.016697721555829048,
-0.5845620632171631,
-0.12988415360450745,
0.13295428454875946,
0.3920842409133911,
-0.24886007606983185,
0.4035942554473877,
0.10868507623672485,
-0.07600261270999908,
-0.13055169582366943,
0.49973493814468384,
0.46834543347358704,
0.5678131580352783,
-0.288379043340683,
-0.06765243411064148,
0.05808202549815178,
-0.18258124589920044,
0.23777781426906586,
0.5766584873199463,
0.33824190497398376,
0.14018091559410095,
0.03504405543208122,
-0.037965841591358185,
-0.10737576335668564,
-0.09008068591356277,
-0.029721863567829132,
0.2774466574192047,
-0.16376079618930817,
0.2949461340904236,
-0.23841078579425812,
-0.2226382941007614,
-0.04625173285603523,
-0.2109307497739792,
-0.3650144040584564,
-0.0462195910513401,
0.2055170238018036,
0.04957457631826401,
0.015668893232941628,
-0.33418136835098267,
0.0574212446808815,
0.2021239995956421,
0.5171065330505371,
0.27114227414131165,
0.1386128067970276,
-0.4753839075565338,
-0.11695356667041779,
-0.7315419912338257,
0.17639389634132385,
-0.31489959359169006,
-0.15671460330486298,
-0.01451841089874506,
0.36327826976776123,
0.04523323103785515,
0.31469908356666565,
-0.034921567887067795,
0.22894978523254395,
0.25130078196525574,
0.3053605258464813,
-0.3416893184185028,
-0.11979447305202484,
0.3530436158180237,
-0.3037296533584595,
0.023086247965693474,
-0.5888960361480713,
0.26860204339027405,
0.051242098212242126,
0.06511188298463821,
-0.008692285977303982,
-0.2844811677932739,
0.2985386252403259,
0.4892457127571106,
0.2755069136619568,
0.263793021440506,
0.28560444712638855,
0.24758198857307434,
-0.5557771325111389,
-0.2176065444946289,
-0.17345596849918365,
-0.20772762596607208,
-0.02030346915125847,
0.0898684486746788,
0.5805656909942627,
-0.14044833183288574,
0.062437016516923904,
-0.3035687804222107,
0.32777053117752075,
-0.22651752829551697,
0.034378815442323685,
-0.17557349801063538,
0.06700634211301804,
-0.3490563929080963,
0.16302484273910522,
0.07218926399946213,
0.12040093541145325,
0.1978321224451065,
0.24254368245601654,
-0.534783661365509,
-0.387428879737854,
0.3043855130672455,
-0.519408106803894,
-0.44668930768966675,
0.29319116473197937,
0.14298847317695618,
0.44685235619544983,
-0.012415866367518902,
-0.7071860432624817,
-0.26888132095336914,
0.21321970224380493,
-0.09643765538930893,
0.025331169366836548,
0.023004839196801186,
0.026594702154397964,
0.07402858883142471,
-0.19160300493240356,
0.3619839549064636,
0.008301920257508755,
0.049280595034360886,
0.048330262303352356,
-0.2284112572669983
] |
https://github.com/huggingface/datasets/issues/211 | [Arrow writer, Trivia_qa] Could not convert TagMe with type str: converting to null type | Actually thinking a bit more about it, it's probably a data sample that is not correct in `trivia_qa`. But I'm a bit surprised though that we managed to write it in .arrow format and now cannot write it anymore after an "identity" mapping. | Running the following code
```
import nlp
ds = nlp.load_dataset("trivia_qa", "rc", split="validation[:1%]") # this might take 2.3 min to download but it's cached afterwards...
ds.map(lambda x: x, load_from_cache_file=False)
```
triggers a `ArrowInvalid: Could not convert TagMe with type str: converting to null type` error.
On the other hand if we remove a certain column of `trivia_qa` which seems responsible for the bug, it works:
```
import nlp
ds = nlp.load_dataset("trivia_qa", "rc", split="validation[:1%]") # this might take 2.3 min to download but it's cached afterwards...
ds.map(lambda x: x, remove_columns=["entity_pages"], load_from_cache_file=False)
```
. Seems quite hard to debug what's going on here... @lhoestq @thomwolf - do you have a good first guess what the problem could be?
**Note** BTW: I think this could be a good test to check that the datasets work correctly: Take a tiny portion of the dataset and check that it can be written correctly. | 43 | [Arrow writer, Trivia_qa] Could not convert TagMe with type str: converting to null type
Running the following code
```
import nlp
ds = nlp.load_dataset("trivia_qa", "rc", split="validation[:1%]") # this might take 2.3 min to download but it's cached afterwards...
ds.map(lambda x: x, load_from_cache_file=False)
```
triggers a `ArrowInvalid: Could not convert TagMe with type str: converting to null type` error.
On the other hand if we remove a certain column of `trivia_qa` which seems responsible for the bug, it works:
```
import nlp
ds = nlp.load_dataset("trivia_qa", "rc", split="validation[:1%]") # this might take 2.3 min to download but it's cached afterwards...
ds.map(lambda x: x, remove_columns=["entity_pages"], load_from_cache_file=False)
```
. Seems quite hard to debug what's going on here... @lhoestq @thomwolf - do you have a good first guess what the problem could be?
**Note** BTW: I think this could be a good test to check that the datasets work correctly: Take a tiny portion of the dataset and check that it can be written correctly.
Actually thinking a bit more about it, it's probably a data sample that is not correct in `trivia_qa`. But I'm a bit surprised though that we managed to write it in .arrow format and now cannot write it anymore after an "identity" mapping. | [
0.12082352489233017,
0.08130035549402237,
0.08892334997653961,
0.4082977771759033,
0.28144127130508423,
0.0546015202999115,
0.11376441270112991,
0.33654868602752686,
0.1860097348690033,
-0.18694984912872314,
0.2484581172466278,
0.5634831786155701,
0.0009859593119472265,
-0.07831809669733047,
-0.02355879545211792,
-0.11811408400535583,
0.07306340336799622,
0.2508920133113861,
0.05063005909323692,
-0.1244533509016037,
-0.09246131777763367,
0.16164346039295197,
-0.18193930387496948,
0.22253011167049408,
-0.513098418712616,
-0.15872855484485626,
0.14412806928157806,
0.08026697486639023,
-0.11963732540607452,
-0.499011754989624,
0.0155159467831254,
-0.3473427891731262,
0.030818453058600426,
0.2083606868982315,
-0.0001191395494970493,
-0.1659441441297531,
0.3734928369522095,
-0.05221517011523247,
-0.19603218138217926,
-0.2107965648174286,
-0.5531385540962219,
0.1664821058511734,
0.30328214168548584,
-0.06724139302968979,
0.23992852866649628,
-0.10213465243577957,
0.06580609083175659,
-0.5268747210502625,
0.09618153423070908,
0.49537715315818787,
0.19496838748455048,
0.15002742409706116,
0.11893009394407272,
0.08554011583328247,
0.2670641541481018,
0.11917208135128021,
-0.28745394945144653,
0.04326258972287178,
-0.1304044872522354,
-0.2241954356431961,
-0.06938862800598145,
0.3475061058998108,
-0.049195729196071625,
-0.004544713068753481,
0.5662901401519775,
0.0445675402879715,
0.19759446382522583,
-0.18642768263816833,
0.2564820945262909,
0.058506473898887634,
0.35495641827583313,
-0.061708129942417145,
-0.10864070057868958,
0.09885405004024506,
-0.1233237162232399,
-0.36338183283805847,
0.28847530484199524,
0.22252129018306732,
-0.2659066319465637,
-0.012292015366256237,
0.11637628823518753,
0.06312450766563416,
0.009714615531265736,
-0.12463594973087311,
-0.15653839707374573,
0.14945432543754578,
0.018611319363117218,
0.11266766488552094,
-0.050113495439291,
-0.1976822018623352,
-0.18047213554382324,
-0.07938511669635773,
-0.30318939685821533,
0.21402011811733246,
-0.2830837368965149,
0.011638865806162357,
-0.05160348117351532,
-0.16387344896793365,
-0.20187877118587494,
-0.08790993690490723,
0.41374650597572327,
-0.00014435498451348394,
-0.005353535059839487,
0.0675487369298935,
0.31440818309783936,
0.4288605749607086,
0.4697207510471344,
0.09827294945716858,
0.13660788536071777,
-0.3048892915248871,
-0.18265220522880554,
-0.034475892782211304,
-0.025242183357477188,
-0.009739777073264122,
0.43271559476852417,
0.024083439260721207,
0.07819689065217972,
-0.3047504127025604,
-0.2590416967868805,
0.02684135176241398,
-0.711564302444458,
0.22196853160858154,
-0.21643337607383728,
0.13746269047260284,
0.06488624960184097,
0.4073728322982788,
0.29524320363998413,
0.2960967719554901,
-0.20428569614887238,
-0.20120763778686523,
-0.11234593391418457,
-0.09873455762863159,
-0.3487420082092285,
-0.15234257280826569,
0.19270986318588257,
-0.08550103008747101,
0.08561725169420242,
0.021654454991221428,
-0.5190787315368652,
-0.22347389161586761,
0.29673415422439575,
-0.28556084632873535,
0.29618263244628906,
0.0604485385119915,
-0.2745223939418793,
0.4591625928878784,
0.21227796375751495,
-0.5164347290992737,
-0.09735027700662613,
0.09279680997133255,
-0.20460042357444763,
0.07067390531301498,
-0.18194662034511566,
0.13979122042655945,
0.03730914369225502,
-0.27449139952659607,
-0.20205269753932953,
-0.06351874023675919,
0.38846516609191895,
-0.16859513521194458,
0.09392968565225601,
-0.20465373992919922,
-0.012687630951404572,
-0.28410252928733826,
-0.1489119529724121,
0.3834082782268524,
-0.18657854199409485,
0.10843648761510849,
-0.07518047839403152,
0.1669817715883255,
0.3044075667858124,
0.3455914556980133,
0.022883182391524315,
0.19979698956012726,
0.10551311075687408,
0.35004332661628723,
0.39273667335510254,
-0.22957998514175415,
-0.009729161858558655,
-0.0022538744378834963,
-0.017602117732167244,
-0.00765859754756093,
-0.05828201398253441,
-0.0028021743055433035,
0.04202081263065338,
-0.11749909073114395,
0.08269582688808441,
0.12329769879579544,
0.012098685838282108,
0.2591467499732971,
-0.3936404287815094,
-0.062193334102630615,
0.4800756871700287,
-0.31273186206817627,
-0.2060410976409912,
-0.030394699424505234,
0.016499483957886696,
0.10142763704061508,
-0.026429852470755577,
-0.09374630451202393,
0.3080482482910156,
0.1747930645942688,
-0.07066237181425095,
-0.1480058878660202,
0.15718434751033783,
-0.04129156842827797,
-0.39961451292037964,
-0.05961420759558678,
-0.11000032722949982,
0.1341492235660553,
-0.05115344375371933,
0.002953039947897196,
-0.2747969627380371,
0.05228047072887421,
-0.00779563607648015,
-0.2527810335159302,
0.1424804925918579,
0.06316851824522018,
0.16464950144290924,
0.12633100152015686,
-0.2156062126159668,
0.06162474304437637,
0.021692680194973946,
0.12927861511707306,
-0.3672279715538025,
-0.2625301480293274,
0.010546890087425709,
-0.3314332365989685,
-0.19128243625164032,
0.23127081990242004,
0.22903786599636078,
0.1343214064836502,
-0.2543696463108063,
0.192537322640419,
-0.009426331147551537,
0.3920420706272125,
-0.21428358554840088,
0.07450968772172928,
-0.013634569011628628,
-0.504682183265686,
0.1931382119655609,
0.4102118909358978,
0.299521803855896,
-0.2957395017147064,
-0.4034365117549896,
-0.053517505526542664,
-0.03167328983545303,
0.590488076210022,
-0.09309849143028259,
0.25580862164497375,
-0.02029447816312313,
-0.06831389665603638,
0.07016165554523468,
-0.12563391029834747,
0.19013677537441254,
-0.169069305062294,
0.17845679819583893,
0.23488174378871918,
-0.23076699674129486,
0.3158995509147644,
0.3804570138454437,
0.3273269832134247,
0.21452637016773224,
0.038707707077264786,
-0.3840380012989044,
-0.06015699729323387,
0.2709561586380005,
0.06697278469800949,
0.3688613474369049,
-0.05914023518562317,
0.22426332533359528,
-0.13389992713928223,
-0.15443681180477142,
-0.17635619640350342,
0.3210904598236084,
-0.20176923274993896,
0.07100435346364975,
0.06617741286754608,
0.5125982165336609,
0.01798960380256176,
-0.18942147493362427,
0.30087465047836304,
-0.016682641580700874,
0.23172098398208618,
-0.41760414838790894,
0.23898622393608093,
-0.31163734197616577,
-0.0587846077978611,
-0.34087440371513367,
-0.21178214251995087,
-0.0825011357665062,
-0.5657790303230286,
-0.03033321164548397,
-0.03345087543129921,
-0.07007171213626862,
0.03609125316143036,
-0.11940274387598038,
-0.14799173176288605,
-0.10889928787946701,
-0.0712956041097641,
-0.37340956926345825,
-0.4300119876861572,
-0.2597953975200653,
-0.04753952845931053,
0.3729808032512665,
0.23948852717876434,
0.10474298149347305,
-0.012624762952327728,
-0.07535742223262787,
0.0003270961169619113,
-0.47142863273620605,
-0.004124365746974945,
-0.22297115623950958,
0.0679432600736618,
0.18282322585582733,
0.021070389077067375,
-0.030382581055164337,
-0.014436699450016022,
0.36036160588264465,
-0.06673930585384369,
-0.27643445134162903,
0.35011184215545654,
0.0663587749004364,
0.05440806597471237,
-0.29347938299179077,
-0.3115214407444,
0.08216596394777298,
-0.4667847752571106,
0.300645112991333,
-0.09647846966981888,
0.24163766205310822,
0.21147532761096954,
-0.017977360635995865,
0.22887639701366425,
-0.06533212959766388,
0.16171418130397797,
0.18838968873023987,
0.4239374101161957,
0.540738582611084,
-0.2293756753206253,
-0.3174418807029724,
0.2958123981952667,
-0.037645719945430756,
0.38819605112075806,
0.14681152999401093,
-0.048438142985105515,
0.4057910740375519,
-0.3843775987625122,
0.13194125890731812,
-0.14741848409175873,
-0.07091381400823593,
0.1809765249490738,
0.23529167473316193,
-0.05996207147836685,
-0.1455635279417038,
0.033156536519527435,
0.21858540177345276,
-0.030756212770938873,
0.24850602447986603,
0.09110970795154572,
0.0045342035591602325,
-0.113542839884758,
0.3820222318172455,
0.30407631397247314,
-0.15708640217781067,
0.2629910707473755,
0.006090229842811823,
-0.0635354146361351,
-0.230088472366333,
-0.27072814106941223,
-0.12888337671756744,
-0.17353898286819458,
0.1558312028646469,
-0.15172052383422852,
0.0335836224257946,
-0.3819095492362976,
-0.031434036791324615,
0.3377803564071655,
-0.18510060012340546,
-0.1455889642238617,
0.29326602816581726,
-0.27848073840141296,
0.23703905940055847,
0.08548372238874435,
0.1900608092546463,
-0.1247149333357811,
-0.4073355197906494,
0.1250004768371582,
-0.0006938294391147792,
0.11784909665584564,
0.036328744143247604,
-0.1986617147922516,
-0.1296972632408142,
-0.41023313999176025,
0.3197307288646698,
0.039933692663908005,
0.360186904668808,
-0.16127030551433563,
-0.15637345612049103,
0.18404246866703033,
-0.1521962583065033,
0.4350278675556183,
-0.36648014187812805,
-0.05906342715024948,
0.30513739585876465,
0.3421054184436798,
-0.4739360213279724,
0.34192028641700745,
-0.22176504135131836,
0.24682144820690155,
0.16475537419319153,
0.14953535795211792,
-0.3234817385673523,
-0.23489433526992798,
0.1747419387102127,
0.020166005939245224,
0.023735633119940758,
0.1704343557357788,
-0.3350856602191925,
0.026662440970540047,
-0.07697520405054092,
-0.1739080846309662,
0.2077370136976242,
0.24202120304107666,
0.018690332770347595,
0.07589264214038849,
-0.4179532825946808,
0.19375494122505188,
0.2174454629421234,
0.08719145506620407,
0.3997781574726105,
-0.24007274210453033,
0.011526733636856079,
-0.020228853449225426,
0.19943805038928986,
-0.07045351713895798,
0.4529924690723419,
-0.04165403172373772,
-0.1785091757774353,
0.25579404830932617,
-0.08369319140911102,
0.4723670482635498,
0.3834904134273529,
0.08568950742483139,
0.32462552189826965,
-0.27232176065444946,
-0.22830967605113983,
-0.3209860920906067,
0.00694937352091074,
0.041178762912750244,
0.00267806276679039,
0.14303724467754364,
-0.10382387787103653,
0.5234208106994629,
0.2486489862203598,
-0.07634872198104858,
0.5133993029594421,
0.16703180968761444,
-0.3357830345630646,
0.32315903902053833,
0.22793793678283691,
1.157379388809204,
0.05849060043692589,
0.10378333926200867,
-0.05825208127498627,
-0.46720442175865173,
0.44061094522476196,
0.06488718092441559,
0.2514752745628357,
-0.47175082564353943,
0.35401567816734314,
0.004887866787612438,
-0.2005733847618103,
0.04434827342629433,
-0.05194282531738281,
-0.30089521408081055,
0.11113577336072922,
-0.21602806448936462,
0.2448735386133194,
0.09667272865772247,
0.09772028028964996,
-0.3100966215133667,
-0.30526241660118103,
-0.2676105797290802,
0.09327080100774765,
-0.18762537837028503,
-0.00799136608839035,
0.11706539243459702,
-0.29040437936782837,
-0.5326505899429321,
-0.0551835335791111,
-0.08857368677854538,
0.1917651742696762,
-0.19879907369613647,
-0.07285914570093155,
0.25250282883644104,
-0.20954354107379913,
0.2399556189775467,
0.23208840191364288,
0.08816596865653992,
-0.06347980350255966,
-0.17391429841518402,
-0.047285061329603195,
0.29203933477401733,
0.1568920910358429,
0.12021462619304657,
-0.0331294983625412,
0.014185520820319653,
0.10079514980316162,
0.04560549929738045,
0.25179681181907654,
-0.4120059907436371,
0.04076381400227547,
-0.08722461014986038,
0.2069534808397293,
0.09257873147726059,
-0.05611662194132805,
0.05833389610052109,
0.05692851543426514,
-0.05763848125934601,
-0.024936117231845856,
0.10847318172454834,
0.013143637217581272,
0.16904456913471222,
0.03570549562573433,
-0.11537537723779678,
-0.2564200758934021,
0.3108493983745575,
0.3111068904399872,
-0.011716415174305439,
0.2638019919395447,
0.7341852188110352,
0.027994580566883087,
-0.1527639478445053,
-0.19830748438835144,
0.028630534186959267,
-0.024160174652934074,
-0.731462299823761,
0.31250956654548645,
-0.31606706976890564,
-0.36789244413375854,
0.020080441609025,
0.5516511797904968,
-0.23535038530826569,
0.18464386463165283,
-0.18532207608222961,
-0.26003187894821167,
-0.19181127846240997,
0.29425421357154846,
-0.06804889440536499,
0.006812755949795246,
-0.4693596661090851,
-0.10694549232721329,
0.029502982273697853,
0.1694559007883072,
-0.24777010083198547,
0.035324256867170334,
-0.1177469864487648,
0.3626191020011902,
-0.04668654128909111,
-0.005117875523865223,
-0.0046821958385407925,
-0.2574218213558197,
0.01005176268517971,
0.5666001439094543,
-0.12076998502016068,
-0.14190907776355743,
-0.28333723545074463,
0.14587780833244324,
0.08442272990942001,
-0.17020735144615173,
0.16537907719612122,
-0.01781695894896984,
0.06224733218550682,
-0.21514610946178436,
-0.07266789674758911,
-0.20808859169483185,
-0.18448610603809357,
0.07485037297010422,
-0.02110034041106701,
0.24461881816387177,
-0.23421530425548553,
0.08050135523080826,
-0.07008925825357437,
0.06816471368074417,
-0.3697080910205841,
0.00714884651824832,
-0.014692851342260838,
0.002423536963760853,
-0.035316284745931625,
0.15229454636573792,
-0.18646304309368134,
-0.11169900000095367,
0.2823202311992645,
-0.29534220695495605,
-0.12911154329776764,
-0.0050050606951117516,
-0.1942414939403534,
0.337995707988739,
-0.15246935188770294,
0.048098124563694,
-0.04230814427137375,
0.11493926495313644,
0.13665582239627838,
0.3571574091911316,
-0.26209986209869385,
0.021108334884047508,
-0.08318186551332474,
0.2757546901702881,
0.12450657039880753,
-0.22824057936668396,
-0.10933318734169006,
0.06607474386692047,
-0.06436789035797119,
-0.369974285364151,
-0.13122640550136566,
0.1212935820221901,
-0.14155219495296478,
-0.002717074006795883,
0.31574881076812744,
-0.15956202149391174,
-0.03928850591182709,
-0.0020723100751638412,
0.39843764901161194,
0.31034424901008606,
0.5081049203872681,
0.20689082145690918,
0.003498430596664548,
0.09589101374149323,
0.00870201550424099,
0.24191176891326904,
0.3457309603691101,
0.3615863025188446,
0.2970237731933594,
0.6127427816390991,
-0.3836425542831421,
-0.26814690232276917,
-0.02600928023457527,
0.10279225558042526,
-0.2622460126876831,
-0.14170002937316895,
-0.5835604071617126,
-0.12105085700750351,
-0.44204121828079224,
-0.08055131882429123,
-0.21707743406295776,
0.19709809124469757,
0.5802695155143738,
0.21965718269348145,
-0.045474473387002945,
-0.629024863243103,
-0.20984308421611786,
0.05817921832203865,
0.5017370581626892,
-0.22398348152637482,
0.45599639415740967,
0.016069067642092705,
-0.05682409182190895,
-0.018256286159157753,
0.5782517790794373,
0.43931037187576294,
0.5464792847633362,
-0.3213455379009247,
-0.013242781162261963,
0.0590827502310276,
-0.1702311784029007,
0.2828426957130432,
0.6259992122650146,
0.37193578481674194,
0.0720667913556099,
0.049773309379816055,
-0.02863697148859501,
-0.09993834048509598,
-0.26097285747528076,
0.02182992547750473,
0.456132709980011,
-0.009454096667468548,
0.2189071625471115,
-0.29675373435020447,
-0.13070376217365265,
-0.07994164526462555,
-0.2456393986940384,
-0.301233172416687,
-0.07740378379821777,
0.13583458960056305,
0.016438117250800133,
0.0205108392983675,
-0.3425390124320984,
0.07126209139823914,
0.160375714302063,
0.5518667101860046,
0.2615603804588318,
0.1266721934080124,
-0.41710996627807617,
-0.11879701167345047,
-0.5855775475502014,
0.2008872777223587,
-0.2385326325893402,
-0.1507570743560791,
-0.09952836483716965,
0.3261133134365082,
0.10537153482437134,
0.24450449645519257,
-0.02768172137439251,
0.20349782705307007,
0.3321015238761902,
0.3179222643375397,
-0.3015892207622528,
-0.062345899641513824,
0.3174634277820587,
-0.32736799120903015,
0.008463076315820217,
-0.575021505355835,
0.29662367701530457,
0.067864328622818,
0.06840582937002182,
0.1313173472881317,
-0.30147168040275574,
0.20186811685562134,
0.44387027621269226,
0.37146812677383423,
0.21601693332195282,
0.25399497151374817,
0.25643858313560486,
-0.45232388377189636,
-0.2691612243652344,
-0.2093794345855713,
-0.2386341243982315,
0.10153771191835403,
0.10521799325942993,
0.5344883799552917,
-0.08086124807596207,
0.1265619397163391,
-0.2559089958667755,
0.15339700877666473,
-0.17736394703388214,
0.10928677767515182,
-0.2637519836425781,
0.14666658639907837,
-0.31743040680885315,
0.08098729699850082,
0.12022680789232254,
0.12272747606039047,
0.15131613612174988,
0.14416058361530304,
-0.4850176274776459,
-0.45378050208091736,
0.3317623436450958,
-0.3799087703227997,
-0.3346240520477295,
0.3907823860645294,
0.21516910195350647,
0.4396253824234009,
-0.10427311062812805,
-0.7881220579147339,
-0.35706278681755066,
0.14721404016017914,
-0.1391952633857727,
-0.050900012254714966,
-0.11611464619636536,
-0.056644365191459656,
-0.00523604080080986,
-0.21112196147441864,
0.3439011573791504,
-0.008731664158403873,
0.08372963964939117,
0.09028727561235428,
-0.16827607154846191
] |
https://github.com/huggingface/datasets/issues/211 | [Arrow writer, Trivia_qa] Could not convert TagMe with type str: converting to null type | Actually, I know what the problem is...I'm quite sure it's a bug. Here we take some test inputs: https://github.com/huggingface/nlp/blob/0e0ef12c14d2175e0b0bd7d8aa814b09e2cd7e1f/src/nlp/arrow_dataset.py#L472
It might be that in the test inputs, a `Sequence` type value is an emtpy list. So in my case I have `ds[0]["entity_pages']["wiki_context"] = []`. => this leads to an `arrow_schema` equal to `null` for `["entity_pages']["wiki_context"]` => see line: https://github.com/huggingface/nlp/blob/0e0ef12c14d2175e0b0bd7d8aa814b09e2cd7e1f/src/nlp/arrow_dataset.py#L501 instead of list of string which it should for other examples.
Guess it's an edge case, but it can happen. | Running the following code
```
import nlp
ds = nlp.load_dataset("trivia_qa", "rc", split="validation[:1%]") # this might take 2.3 min to download but it's cached afterwards...
ds.map(lambda x: x, load_from_cache_file=False)
```
triggers a `ArrowInvalid: Could not convert TagMe with type str: converting to null type` error.
On the other hand if we remove a certain column of `trivia_qa` which seems responsible for the bug, it works:
```
import nlp
ds = nlp.load_dataset("trivia_qa", "rc", split="validation[:1%]") # this might take 2.3 min to download but it's cached afterwards...
ds.map(lambda x: x, remove_columns=["entity_pages"], load_from_cache_file=False)
```
. Seems quite hard to debug what's going on here... @lhoestq @thomwolf - do you have a good first guess what the problem could be?
**Note** BTW: I think this could be a good test to check that the datasets work correctly: Take a tiny portion of the dataset and check that it can be written correctly. | 79 | [Arrow writer, Trivia_qa] Could not convert TagMe with type str: converting to null type
Running the following code
```
import nlp
ds = nlp.load_dataset("trivia_qa", "rc", split="validation[:1%]") # this might take 2.3 min to download but it's cached afterwards...
ds.map(lambda x: x, load_from_cache_file=False)
```
triggers a `ArrowInvalid: Could not convert TagMe with type str: converting to null type` error.
On the other hand if we remove a certain column of `trivia_qa` which seems responsible for the bug, it works:
```
import nlp
ds = nlp.load_dataset("trivia_qa", "rc", split="validation[:1%]") # this might take 2.3 min to download but it's cached afterwards...
ds.map(lambda x: x, remove_columns=["entity_pages"], load_from_cache_file=False)
```
. Seems quite hard to debug what's going on here... @lhoestq @thomwolf - do you have a good first guess what the problem could be?
**Note** BTW: I think this could be a good test to check that the datasets work correctly: Take a tiny portion of the dataset and check that it can be written correctly.
Actually, I know what the problem is...I'm quite sure it's a bug. Here we take some test inputs: https://github.com/huggingface/nlp/blob/0e0ef12c14d2175e0b0bd7d8aa814b09e2cd7e1f/src/nlp/arrow_dataset.py#L472
It might be that in the test inputs, a `Sequence` type value is an emtpy list. So in my case I have `ds[0]["entity_pages']["wiki_context"] = []`. => this leads to an `arrow_schema` equal to `null` for `["entity_pages']["wiki_context"]` => see line: https://github.com/huggingface/nlp/blob/0e0ef12c14d2175e0b0bd7d8aa814b09e2cd7e1f/src/nlp/arrow_dataset.py#L501 instead of list of string which it should for other examples.
Guess it's an edge case, but it can happen. | [
0.09355766326189041,
-0.05218100547790527,
0.09173014760017395,
0.49227437376976013,
0.25251901149749756,
0.1492108851671219,
0.10871338099241257,
0.4077002704143524,
0.1446874439716339,
-0.09357922524213791,
0.345406711101532,
0.5846510529518127,
-0.12629729509353638,
-0.08148028701543808,
-0.03906698152422905,
-0.18967218697071075,
0.1572442501783371,
0.2686879336833954,
0.0862920731306076,
-0.06003141030669212,
-0.14310400187969208,
0.1505410373210907,
-0.27892494201660156,
0.13217096030712128,
-0.42001497745513916,
-0.10315194725990295,
0.07676168531179428,
0.05711652711033821,
-0.08841797709465027,
-0.4528536796569824,
0.07614684104919434,
-0.32569846510887146,
-0.006574613973498344,
0.25914573669433594,
-0.00012003634037682787,
-0.12074823677539825,
0.4130159914493561,
-0.04033127799630165,
-0.2655787467956543,
-0.2495540827512741,
-0.4358331859111786,
0.031889259815216064,
0.3316240906715393,
-0.042490363121032715,
0.18057368695735931,
-0.06374640762805939,
0.023802658542990685,
-0.5875160098075867,
0.20610851049423218,
0.5833629369735718,
0.17648322880268097,
0.2174147665500641,
-0.06840876489877701,
0.13026194274425507,
0.29421254992485046,
0.053159862756729126,
-0.3383094072341919,
-0.08270297944545746,
0.02263263799250126,
-0.12178908288478851,
-0.13316574692726135,
0.3214308023452759,
-0.06175127252936363,
0.05857021361589432,
0.6247365474700928,
0.09327878803014755,
0.1312829554080963,
-0.3116703927516937,
0.14749625325202942,
0.1445361226797104,
0.39628154039382935,
-0.08866601437330246,
-0.08991008251905441,
-0.017770590260624886,
-0.16316336393356323,
-0.3528529107570648,
0.2785196900367737,
0.18064726889133453,
-0.29843664169311523,
-0.003344345837831497,
0.07484898716211319,
0.14837564527988434,
-0.08723309636116028,
-0.06426207721233368,
-0.11870991438627243,
0.15310683846473694,
0.03931651636958122,
0.06686494499444962,
-0.104098841547966,
-0.20409707725048065,
-0.10837506502866745,
-0.23340703547000885,
-0.2524460554122925,
0.31610387563705444,
-0.4382787048816681,
0.03797251731157303,
-0.051442280411720276,
-0.13796330988407135,
-0.1476161926984787,
0.06295989453792572,
0.38411587476730347,
0.09981704503297806,
0.027437696233391762,
0.07166105508804321,
0.35871410369873047,
0.3659045994281769,
0.31820401549339294,
0.13503821194171906,
0.0632362961769104,
-0.22235779464244843,
-0.0816001445055008,
0.017592081800103188,
0.01669975183904171,
-0.03930918872356415,
0.40901151299476624,
0.009138377383351326,
0.1497366577386856,
-0.3318137228488922,
-0.24876804649829865,
0.05874061957001686,
-0.7114659547805786,
0.2303275465965271,
-0.19834335148334503,
0.09589500725269318,
-0.024716250598430634,
0.522648811340332,
0.2696354389190674,
0.3240777254104614,
-0.22753983736038208,
-0.1015937551856041,
-0.1469992995262146,
-0.13756315410137177,
-0.2435154914855957,
-0.04535217210650444,
0.2112690508365631,
-0.07352469861507416,
0.16572313010692596,
0.024609845131635666,
-0.4914281666278839,
-0.20295187830924988,
0.266869455575943,
-0.3210097849369049,
0.17625240981578827,
0.06481609493494034,
-0.3296072483062744,
0.4532787799835205,
0.18611638247966766,
-0.39012324810028076,
-0.18190471827983856,
0.10338719934225082,
-0.19294776022434235,
0.09501991420984268,
-0.15740551054477692,
0.12872961163520813,
0.02487931400537491,
-0.14852629601955414,
-0.302363783121109,
-0.032280128449201584,
0.3422367572784424,
-0.11202200502157211,
0.15281814336776733,
-0.24676993489265442,
-0.10657190531492233,
-0.2501494288444519,
-0.06317627429962158,
0.40901312232017517,
-0.1929149478673935,
0.08677531033754349,
-0.018420295789837837,
0.1405181735754013,
0.2578374743461609,
0.2855258285999298,
0.016144372522830963,
0.12157026678323746,
0.0634678304195404,
0.3946039378643036,
0.431523859500885,
-0.2790813148021698,
0.007540145423263311,
0.13285373151302338,
-0.03557681292295456,
-0.011855741031467915,
0.0022207186557352543,
0.10645212978124619,
0.03309134766459465,
-0.2236136496067047,
0.10748156160116196,
0.19908714294433594,
-0.0646124854683876,
0.2510935962200165,
-0.4027024805545807,
-0.06630803644657135,
0.49514520168304443,
-0.201971173286438,
-0.18115805089473724,
-0.05476008728146553,
-0.053745515644550323,
0.15148408710956573,
-0.014162950217723846,
-0.028818197548389435,
0.38277581334114075,
0.3288469612598419,
-0.14390338957309723,
-0.16071735322475433,
0.10063563287258148,
-0.10738221555948257,
-0.46785426139831543,
0.01179387979209423,
-0.1890222728252411,
0.20261098444461823,
-0.08662533760070801,
0.028060849756002426,
-0.34109804034233093,
0.12534889578819275,
-0.1016518771648407,
-0.22731013596057892,
0.14942359924316406,
0.05417415127158165,
0.16102512180805206,
0.1465352475643158,
-0.12235677242279053,
0.11216121166944504,
0.013423270545899868,
0.08212599903345108,
-0.4639512002468109,
-0.08359189331531525,
0.0000042855485844484065,
-0.28666579723358154,
-0.08776101469993591,
0.2652682363986969,
0.27048373222351074,
0.11230027675628662,
-0.2972470223903656,
0.21522992849349976,
0.11378917098045349,
0.27887773513793945,
-0.402119517326355,
0.07179590314626694,
0.06320440024137497,
-0.4297589063644409,
0.1421477496623993,
0.43532252311706543,
0.3686196804046631,
-0.3424835801124573,
-0.3888028562068939,
-0.04157598316669464,
0.02234947495162487,
0.6803267598152161,
-0.1308952420949936,
0.14410792291164398,
-0.0329953096807003,
-0.03734302893280983,
0.07075387984514236,
-0.054917752742767334,
0.16543681919574738,
0.017986038699746132,
0.12332194298505783,
0.30982547998428345,
-0.24867281317710876,
0.2911902666091919,
0.3783717155456543,
0.2824704945087433,
0.11098290234804153,
0.12216751277446747,
-0.38529273867607117,
-0.21817083656787872,
0.3125988841056824,
0.025050168856978416,
0.3757631480693817,
-0.05269020050764084,
0.18641436100006104,
-0.05416795238852501,
-0.18275856971740723,
-0.17576919496059418,
0.3537931740283966,
-0.05842425674200058,
0.19384706020355225,
0.036412253975868225,
0.5011972188949585,
-0.0158939640969038,
-0.131381094455719,
0.24980710446834564,
-0.00886718463152647,
0.2077244073152542,
-0.41092801094055176,
0.3374968469142914,
-0.4077058732509613,
-0.13143102824687958,
-0.37055832147598267,
-0.15277187526226044,
-0.02439740113914013,
-0.6165552139282227,
-0.04489520192146301,
-0.018378380686044693,
-0.030628075823187828,
0.12242794036865234,
-0.28436094522476196,
-0.13166160881519318,
0.013293184340000153,
-0.07765060663223267,
-0.40242815017700195,
-0.42999595403671265,
-0.4094296097755432,
-0.04794970154762268,
0.43011748790740967,
0.3920780122280121,
0.10363422334194183,
0.032187048345804214,
-0.10713531821966171,
-0.036247964948415756,
-0.41251081228256226,
0.034375015646219254,
-0.2577628791332245,
0.09031189233064651,
0.15104347467422485,
0.06090349704027176,
0.01968619041144848,
-0.08685033768415451,
0.324641615152359,
0.0006720252567902207,
-0.3420938551425934,
0.39525091648101807,
0.053129855543375015,
0.14244604110717773,
-0.3051876425743103,
-0.4616941809654236,
0.03970060124993324,
-0.46554744243621826,
0.18202948570251465,
0.006348861381411552,
0.18158811330795288,
0.23612694442272186,
0.05442655459046364,
0.28018149733543396,
-0.043023254722356796,
0.16916722059249878,
0.19449365139007568,
0.47960445284843445,
0.5730380415916443,
-0.14828301966190338,
-0.36124691367149353,
0.2676405608654022,
-0.13377965986728668,
0.29561081528663635,
0.1793285310268402,
-0.15094240009784698,
0.3191583752632141,
-0.3194126784801483,
0.15346930921077728,
-0.13758321106433868,
-0.12629735469818115,
0.23981399834156036,
0.18344949185848236,
-0.04229230806231499,
-0.10745716094970703,
0.03156398609280586,
0.25976717472076416,
-0.18653292953968048,
0.19254785776138306,
0.11958233267068863,
0.20338129997253418,
-0.04648185521364212,
0.3153972327709198,
0.18806946277618408,
-0.2586815357208252,
0.33788928389549255,
-0.0351509265601635,
-0.008244981989264488,
-0.28940466046333313,
-0.1092589870095253,
-0.08718905597925186,
-0.14598052203655243,
0.15237271785736084,
-0.08302395045757294,
0.0713333860039711,
-0.45441335439682007,
-0.028706520795822144,
0.29916152358055115,
-0.10596811026334763,
-0.14508476853370667,
0.2503581941127777,
-0.27159324288368225,
0.2326231449842453,
0.07304343581199646,
0.15341870486736298,
-0.11898381263017654,
-0.5184163451194763,
0.044182710349559784,
-0.03199446201324463,
0.09283964335918427,
-0.02092238888144493,
-0.20190250873565674,
0.01781037263572216,
-0.4196453094482422,
0.28542956709861755,
0.16831742227077484,
0.4798281192779541,
-0.04797329753637314,
-0.19165867567062378,
0.17190347611904144,
-0.15334923565387726,
0.38575008511543274,
-0.27435535192489624,
-0.013487877324223518,
0.36245670914649963,
0.3600074052810669,
-0.48109734058380127,
0.2678271234035492,
-0.25803855061531067,
0.2621382772922516,
0.17987297475337982,
0.19627130031585693,
-0.4151628911495209,
-0.3015872836112976,
0.1404121071100235,
0.1914491057395935,
-0.021241120994091034,
0.16336673498153687,
-0.2792501449584961,
-0.023449843749403954,
-0.06628536432981491,
-0.17774102091789246,
0.2659941613674164,
0.3581659495830536,
0.03981360048055649,
-0.0013975698966532946,
-0.43300962448120117,
0.11331041902303696,
0.12204871326684952,
0.02093997225165367,
0.45545026659965515,
-0.29696565866470337,
0.12399213761091232,
-0.20001664757728577,
0.1642337590456009,
-0.06789131462574005,
0.3436698913574219,
-0.06636131554841995,
-0.09572024643421173,
0.3054822087287903,
-0.12876875698566437,
0.3905344605445862,
0.33944132924079895,
-0.02647395245730877,
0.3637794852256775,
-0.17648418247699738,
-0.15365412831306458,
-0.24443653225898743,
-0.02531627006828785,
0.14097005128860474,
-0.08740124106407166,
0.10841009765863419,
-0.19618138670921326,
0.541181206703186,
0.3007127642631531,
-0.03165442496538162,
0.44397681951522827,
0.18964138627052307,
-0.32779377698898315,
0.3507964015007019,
0.21915358304977417,
1.112839698791504,
0.11890758574008942,
0.1753784418106079,
0.08425147831439972,
-0.34730711579322815,
0.4513011872768402,
0.022426730021834373,
0.2541965842247009,
-0.48580217361450195,
0.2573942542076111,
-0.03554905205965042,
-0.1875907927751541,
0.040305085480213165,
0.024343961849808693,
-0.28638988733291626,
0.19320900738239288,
-0.1737767457962036,
0.26287317276000977,
0.12903361022472382,
0.019911402836441994,
-0.2860625088214874,
-0.3354416489601135,
-0.4839943051338196,
0.07514113932847977,
-0.15866246819496155,
-0.06433840841054916,
0.10971218347549438,
-0.2614796459674835,
-0.4933299124240875,
-0.09190774708986282,
-0.12715232372283936,
0.14361156523227692,
-0.2413683980703354,
-0.06229012459516525,
0.2582911550998688,
-0.17976689338684082,
0.22817149758338928,
0.16256064176559448,
-0.04886376112699509,
-0.05741990730166435,
-0.18875886499881744,
-0.11977733671665192,
0.20588086545467377,
0.09072998911142349,
0.1580936312675476,
-0.019870692864060402,
0.14279165863990784,
0.05803072452545166,
0.0911153256893158,
0.26428547501564026,
-0.4077533781528473,
-0.0016339104622602463,
0.06845354288816452,
0.16407932341098785,
0.035154107958078384,
-0.021139148622751236,
-0.12933379411697388,
0.10254568606615067,
-0.016364311799407005,
-0.03418673202395439,
0.08982974290847778,
0.04698130488395691,
0.08257539570331573,
0.05820777267217636,
-0.10640516132116318,
-0.22666843235492706,
0.26345932483673096,
0.353193461894989,
0.057198356837034225,
0.14272695779800415,
0.748661458492279,
0.16375793516635895,
-0.13262833654880524,
-0.19221459329128265,
0.0859968289732933,
0.01857256144285202,
-0.7875836491584778,
0.28427791595458984,
-0.27143025398254395,
-0.3222106397151947,
0.0358475036919117,
0.6465660333633423,
-0.2318478226661682,
0.08951954543590546,
-0.1663874089717865,
-0.26115164160728455,
-0.1747756004333496,
0.17243994772434235,
-0.037130579352378845,
0.06116075813770294,
-0.5098102688789368,
-0.18457739055156708,
0.10252352058887482,
0.1319335699081421,
-0.21777282655239105,
0.00017779628979042172,
-0.2947470545768738,
0.3535670340061188,
-0.014866601675748825,
0.1016855463385582,
0.00531828124076128,
-0.17168766260147095,
-0.004655370954424143,
0.4534411132335663,
-0.16379664838314056,
-0.14825889468193054,
-0.23846152424812317,
0.15354657173156738,
0.11453521996736526,
-0.11689381301403046,
0.06979844719171524,
-0.021558290347456932,
0.030570514500141144,
-0.21219263970851898,
-0.10736989974975586,
-0.21035702526569366,
-0.17519158124923706,
-0.01351905707269907,
0.07630708068609238,
0.2623259425163269,
-0.27176329493522644,
0.12272558361291885,
-0.172366201877594,
0.07838195562362671,
-0.3097916543483734,
0.02072833850979805,
0.11779620498418808,
0.021430138498544693,
-0.1464223712682724,
0.10597628355026245,
-0.16352549195289612,
-0.21059295535087585,
0.32429587841033936,
-0.34931859374046326,
-0.20742009580135345,
0.04359722137451172,
-0.1591494083404541,
0.3959813714027405,
-0.10549292713403702,
0.0026339900214225054,
-0.07950644195079803,
0.08346452564001083,
0.054279930889606476,
0.32216352224349976,
-0.1934608370065689,
-0.11521857976913452,
-0.04124770686030388,
0.28510916233062744,
0.17262502014636993,
-0.2153887152671814,
-0.026877859607338905,
0.11490268260240555,
0.02829141728579998,
-0.4184589982032776,
-0.08133561909198761,
0.18888068199157715,
-0.048989348113536835,
0.0191485658288002,
0.26837390661239624,
-0.1958974450826645,
0.028500817716121674,
-0.0704050287604332,
0.43938660621643066,
0.41986083984375,
0.4042411744594574,
0.16703341901302338,
-0.024890005588531494,
0.08554977923631668,
0.05491384491324425,
0.3567959666252136,
0.34315255284309387,
0.2155420035123825,
0.2542288899421692,
0.5395470857620239,
-0.17617860436439514,
-0.2687586843967438,
-0.056569285690784454,
0.12042010575532913,
-0.22145405411720276,
-0.13927051424980164,
-0.4548981189727783,
-0.15396693348884583,
-0.4800412058830261,
-0.20011095702648163,
-0.16494038701057434,
0.138153076171875,
0.5681524276733398,
0.22027188539505005,
0.04264887422323227,
-0.5250192284584045,
-0.1378670036792755,
0.10644234716892242,
0.3856295943260193,
-0.17447805404663086,
0.4604705274105072,
0.0065398914739489555,
-0.07063817977905273,
-0.03053625300526619,
0.4228677451610565,
0.42817649245262146,
0.5327763557434082,
-0.3272393047809601,
-0.0688585489988327,
0.12607942521572113,
-0.16419455409049988,
0.24071285128593445,
0.5911155939102173,
0.24773690104484558,
0.0660373643040657,
0.06582170724868774,
-0.05595829710364342,
-0.08274539560079575,
-0.10225710272789001,
-0.022090107202529907,
0.3411233723163605,
-0.12443617731332779,
0.4214782118797302,
-0.277730792760849,
-0.14602114260196686,
-0.1004435271024704,
-0.18617010116577148,
-0.2864459753036499,
0.03204261511564255,
0.10367326438426971,
0.03099736012518406,
0.07790971547365189,
-0.3275085687637329,
0.0678439512848854,
0.18376100063323975,
0.5826790928840637,
0.224173441529274,
0.1032862439751625,
-0.39242225885391235,
-0.09169916063547134,
-0.7618368268013,
0.17532789707183838,
-0.24168361723423004,
-0.21087729930877686,
0.10276138037443161,
0.3020719587802887,
0.0831141471862793,
0.3048587739467621,
-0.04290934279561043,
0.2784472703933716,
0.2520654797554016,
0.2867039144039154,
-0.38265106081962585,
-0.1970779448747635,
0.3445274233818054,
-0.28109580278396606,
-0.052883487194776535,
-0.5603258013725281,
0.23074781894683838,
0.01634921319782734,
0.0587674081325531,
0.03245606645941734,
-0.21475018560886383,
0.18569064140319824,
0.4447222352027893,
0.20759929716587067,
0.18357287347316742,
0.17585748434066772,
0.27285662293434143,
-0.4320274293422699,
-0.3502245843410492,
-0.21792975068092346,
-0.19331420958042145,
0.03421096131205559,
0.03560389205813408,
0.4834496080875397,
-0.16845664381980896,
0.03575218841433525,
-0.27571362257003784,
0.1209489181637764,
-0.1355479210615158,
0.1336914747953415,
-0.2686525583267212,
0.1832190454006195,
-0.4139765202999115,
0.19967924058437347,
0.22928112745285034,
0.022406091913580894,
0.12845252454280853,
0.14924822747707367,
-0.4297786355018616,
-0.49896353483200073,
0.2569376826286316,
-0.47044065594673157,
-0.3264242112636566,
0.2818511724472046,
0.14563846588134766,
0.35117805004119873,
-0.06056055426597595,
-0.740279495716095,
-0.2556822896003723,
0.23546096682548523,
-0.12984558939933777,
0.017962753772735596,
-0.04342944175004959,
-0.04658288136124611,
0.026109222322702408,
-0.23466290533542633,
0.23958688974380493,
0.0006647949921898544,
0.1402984857559204,
0.033132340759038925,
-0.25771474838256836
] |
https://github.com/huggingface/datasets/issues/211 | [Arrow writer, Trivia_qa] Could not convert TagMe with type str: converting to null type | Good point, I think the schema should be infered at the writing stage where we have a `writer_batch_size` number of examples (typically 10k) so it's even less likely to run into this scenario. | Running the following code
```
import nlp
ds = nlp.load_dataset("trivia_qa", "rc", split="validation[:1%]") # this might take 2.3 min to download but it's cached afterwards...
ds.map(lambda x: x, load_from_cache_file=False)
```
triggers a `ArrowInvalid: Could not convert TagMe with type str: converting to null type` error.
On the other hand if we remove a certain column of `trivia_qa` which seems responsible for the bug, it works:
```
import nlp
ds = nlp.load_dataset("trivia_qa", "rc", split="validation[:1%]") # this might take 2.3 min to download but it's cached afterwards...
ds.map(lambda x: x, remove_columns=["entity_pages"], load_from_cache_file=False)
```
. Seems quite hard to debug what's going on here... @lhoestq @thomwolf - do you have a good first guess what the problem could be?
**Note** BTW: I think this could be a good test to check that the datasets work correctly: Take a tiny portion of the dataset and check that it can be written correctly. | 33 | [Arrow writer, Trivia_qa] Could not convert TagMe with type str: converting to null type
Running the following code
```
import nlp
ds = nlp.load_dataset("trivia_qa", "rc", split="validation[:1%]") # this might take 2.3 min to download but it's cached afterwards...
ds.map(lambda x: x, load_from_cache_file=False)
```
triggers a `ArrowInvalid: Could not convert TagMe with type str: converting to null type` error.
On the other hand if we remove a certain column of `trivia_qa` which seems responsible for the bug, it works:
```
import nlp
ds = nlp.load_dataset("trivia_qa", "rc", split="validation[:1%]") # this might take 2.3 min to download but it's cached afterwards...
ds.map(lambda x: x, remove_columns=["entity_pages"], load_from_cache_file=False)
```
. Seems quite hard to debug what's going on here... @lhoestq @thomwolf - do you have a good first guess what the problem could be?
**Note** BTW: I think this could be a good test to check that the datasets work correctly: Take a tiny portion of the dataset and check that it can be written correctly.
Good point, I think the schema should be infered at the writing stage where we have a `writer_batch_size` number of examples (typically 10k) so it's even less likely to run into this scenario. | [
-0.06821571290493011,
0.06093074008822441,
0.10538256913423538,
0.47370103001594543,
0.25208044052124023,
0.10438002645969391,
0.0982680395245552,
0.38123026490211487,
0.22328874468803406,
-0.0625070109963417,
0.3270520269870758,
0.47998303174972534,
-0.08507680147886276,
-0.02218559943139553,
-0.045739635825157166,
-0.13106898963451385,
0.1612941324710846,
0.32369357347488403,
0.0635414570569992,
-0.12184275686740875,
-0.143835186958313,
0.08432035893201828,
-0.23519447445869446,
0.07620338350534439,
-0.5430988669395447,
-0.16950716078281403,
0.05933636799454689,
0.10318562388420105,
-0.15469597280025482,
-0.444821834564209,
0.014603621326386929,
-0.2505456805229187,
0.1371711939573288,
0.3100917339324951,
-0.00011774223821703345,
-0.13116763532161713,
0.3823634088039398,
-0.045255277305841446,
-0.21709266304969788,
-0.15531252324581146,
-0.4626953601837158,
0.06080995500087738,
0.26331013441085815,
-0.06844861060380936,
0.19009912014007568,
-0.002296833321452141,
0.06410693377256393,
-0.49992018938064575,
0.10783161967992783,
0.5157186388969421,
0.20820803940296173,
0.2796899974346161,
-0.018799923360347748,
0.03328898921608925,
0.32798701524734497,
0.02105787955224514,
-0.36564770340919495,
0.0005635718698613346,
-0.0283157080411911,
-0.15549702942371368,
-0.16190877556800842,
0.3987061679363251,
-0.08816108107566833,
0.05234824866056442,
0.6084602475166321,
0.09695235639810562,
0.11834535747766495,
-0.29125991463661194,
0.19596010446548462,
0.12539058923721313,
0.4451824724674225,
-0.10498611629009247,
-0.11374671757221222,
-0.003936838358640671,
-0.13454768061637878,
-0.39042434096336365,
0.23909571766853333,
0.19062256813049316,
-0.2509995996952057,
-0.003180446568876505,
0.05959679186344147,
0.10651864111423492,
-0.035818811506032944,
-0.19298069179058075,
-0.06625010073184967,
0.20389649271965027,
0.06159031763672829,
0.04267077147960663,
-0.10467099398374557,
-0.1581258326768875,
-0.012559236958622932,
-0.2313852161169052,
-0.3124712407588959,
0.2501974403858185,
-0.33636394143104553,
0.042031411081552505,
0.00923119392246008,
-0.10786877572536469,
-0.1433400809764862,
-0.07465704530477524,
0.3727557063102722,
0.023687245324254036,
0.13817273080348969,
0.11149328947067261,
0.3602561950683594,
0.3803674578666687,
0.3734176456928253,
0.13893984258174896,
0.1727735698223114,
-0.25541576743125916,
-0.20995932817459106,
-0.018516505137085915,
-0.02588663622736931,
-0.02692083828151226,
0.48337507247924805,
-0.018195142969489098,
0.12692323327064514,
-0.34274446964263916,
-0.28641602396965027,
0.03796941041946411,
-0.6072560548782349,
0.17981718480587006,
-0.21649353206157684,
0.18091121315956116,
0.014958344399929047,
0.4404577612876892,
0.14115053415298462,
0.3197545111179352,
-0.2866175174713135,
-0.2129356861114502,
-0.16906729340553284,
-0.06719358265399933,
-0.3529975414276123,
-0.04740668833255768,
0.23163479566574097,
0.025345223024487495,
0.17099273204803467,
0.04575207084417343,
-0.5268826484680176,
-0.19393038749694824,
0.2752547562122345,
-0.33649227023124695,
0.1010017991065979,
0.09799926728010178,
-0.18175622820854187,
0.38011592626571655,
0.15239612758159637,
-0.3950263261795044,
-0.2050779163837433,
0.07577133923768997,
-0.14228346943855286,
-0.014657155610620975,
-0.14263610541820526,
0.16258662939071655,
0.019487546756863594,
-0.2284373939037323,
-0.2854868173599243,
-0.04417099431157112,
0.37683507800102234,
-0.08247721940279007,
0.033103324472904205,
-0.19425275921821594,
-0.07683047652244568,
-0.25467318296432495,
-0.14971138536930084,
0.49143555760383606,
-0.17050717771053314,
0.16371405124664307,
0.05206683650612831,
0.15883444249629974,
0.3200910687446594,
0.346475213766098,
-0.05128033086657524,
0.23605962097644806,
0.0744529590010643,
0.3285943567752838,
0.47833213210105896,
-0.27670934796333313,
0.05458498001098633,
0.14386841654777527,
-0.04974459484219551,
-0.01411892008036375,
0.055780213326215744,
0.00474648829549551,
0.11313492059707642,
-0.18608157336711884,
0.11334670335054398,
0.174922376871109,
-0.10872144997119904,
0.2992881238460541,
-0.4459868371486664,
-0.04967779666185379,
0.3986055850982666,
-0.20753492414951324,
-0.08162340521812439,
0.05908762663602829,
0.010010628961026669,
0.05539286881685257,
0.01792507991194725,
-0.08591949194669724,
0.3454482853412628,
0.29823562502861023,
-0.12419234216213226,
-0.10706939548254013,
0.08703389763832092,
-0.09944067895412445,
-0.44471409916877747,
0.03243102878332138,
-0.1577640026807785,
0.12304985523223877,
0.050344910472631454,
-0.0975474938750267,
-0.2944735884666443,
0.09615019708871841,
-0.03822631016373634,
-0.25051963329315186,
0.15453067421913147,
0.023196587339043617,
0.17318350076675415,
0.05925016105175018,
-0.2021060585975647,
0.06613398343324661,
-0.015743911266326904,
0.10741586983203888,
-0.351253479719162,
-0.17887376248836517,
-0.044257212430238724,
-0.3509327173233032,
-0.03988877683877945,
0.23988406360149384,
0.2370176613330841,
0.1002112627029419,
-0.25856703519821167,
0.23891878128051758,
-0.0016579184448346496,
0.3618727922439575,
-0.2429504543542862,
0.087574802339077,
-0.04195716977119446,
-0.26053425669670105,
0.1956302374601364,
0.2751902639865875,
0.35893139243125916,
-0.29758116602897644,
-0.4221459627151489,
-0.006539704278111458,
0.0379456952214241,
0.5811734795570374,
-0.044700413942337036,
0.13578718900680542,
0.033680785447359085,
-0.07959777861833572,
0.13727375864982605,
-0.10519855469465256,
0.1780073344707489,
-0.0735727995634079,
0.06387805938720703,
0.3371363878250122,
-0.2674143612384796,
0.31074702739715576,
0.42854443192481995,
0.2990174889564514,
0.11164850741624832,
0.05712142586708069,
-0.29339683055877686,
-0.13686704635620117,
0.3519337773323059,
0.13247939944267273,
0.45555809140205383,
-0.015704968944191933,
0.20980578660964966,
-0.07270622253417969,
-0.1649341732263565,
-0.20099230110645294,
0.3175549805164337,
-0.1493179053068161,
0.19674518704414368,
0.06621222198009491,
0.45941340923309326,
0.020023269578814507,
-0.21954306960105896,
0.21167410910129547,
0.036517925560474396,
0.2187831699848175,
-0.378315806388855,
0.2838192582130432,
-0.28597819805145264,
-0.07724259793758392,
-0.43136969208717346,
-0.04244379699230194,
-0.04646889492869377,
-0.565082848072052,
-0.03836679086089134,
0.007924099452793598,
-0.09303852915763855,
0.036544762551784515,
-0.3283859193325043,
-0.11925545334815979,
-0.12170161306858063,
-0.06536497175693512,
-0.2936859130859375,
-0.4041464030742645,
-0.35029909014701843,
-0.05848395451903343,
0.4213874638080597,
0.3856319189071655,
0.19977723062038422,
0.01642858237028122,
-0.005452368408441544,
-0.02815060503780842,
-0.4237631559371948,
0.047018684446811676,
-0.22188636660575867,
0.043297119438648224,
0.16059298813343048,
-0.005856915842741728,
0.05179949477314949,
-0.10299549251794815,
0.36970099806785583,
-0.05113082379102707,
-0.2518925070762634,
0.3521766662597656,
0.02231474034488201,
-0.03763404116034508,
-0.2629382312297821,
-0.4058383107185364,
0.1166725605726242,
-0.5667975544929504,
0.10078790783882141,
-0.0469367615878582,
0.20174561440944672,
0.17167185246944427,
0.08207482099533081,
0.22550299763679504,
-0.06525611132383347,
0.19515204429626465,
0.28039228916168213,
0.37839585542678833,
0.5403062105178833,
-0.22598020732402802,
-0.32307562232017517,
0.2950862646102905,
-0.11089568585157394,
0.3608185648918152,
0.23071341216564178,
-0.15202011168003082,
0.40528711676597595,
-0.41035395860671997,
0.17004750669002533,
-0.08374345302581787,
-0.11723299324512482,
0.31236788630485535,
0.190455362200737,
-0.0683734342455864,
-0.09682302922010422,
0.017994465306401253,
0.21361719071865082,
-0.2014838308095932,
0.16506949067115784,
0.008490102365612984,
0.19980493187904358,
-0.10333242267370224,
0.3400722146034241,
0.12450022250413895,
-0.16565261781215668,
0.36143723130226135,
0.011600097641348839,
0.012079466134309769,
-0.2510288655757904,
-0.1440342366695404,
0.019972167909145355,
-0.21486856043338776,
0.061621807515621185,
-0.04792586714029312,
0.056544143706560135,
-0.4713306725025177,
-0.0346459336578846,
0.23681169748306274,
-0.147640198469162,
-0.16390952467918396,
0.3225655257701874,
-0.3387588858604431,
0.28037068247795105,
0.09475880861282349,
0.13657431304454803,
-0.11946523934602737,
-0.40645861625671387,
0.023601563647389412,
-0.05851231887936592,
0.10876714438199997,
-0.016414441168308258,
-0.2646564841270447,
0.002610077615827322,
-0.5347053408622742,
0.2495778352022171,
0.05217316374182701,
0.3960880637168884,
-0.04335794225335121,
-0.18558385968208313,
0.18215163052082062,
-0.2292850762605667,
0.4075528681278229,
-0.31268811225891113,
0.01877390407025814,
0.285961389541626,
0.29861000180244446,
-0.4982850253582001,
0.18488070368766785,
-0.2240576148033142,
0.33020952343940735,
0.22574815154075623,
0.18554334342479706,
-0.3720526397228241,
-0.3285733461380005,
0.2298184037208557,
0.04473932459950447,
-0.0006503329495899379,
0.10367891192436218,
-0.35246676206588745,
-0.05329129099845886,
-0.06974101811647415,
-0.14215707778930664,
0.2665815055370331,
0.3564808666706085,
-0.07092572003602982,
0.007949869148433208,
-0.43612489104270935,
0.1583183854818344,
0.15794974565505981,
0.1309376060962677,
0.3880293667316437,
-0.3398948013782501,
0.12485559284687042,
-0.1658342182636261,
0.19165848195552826,
-0.04550092667341232,
0.42883384227752686,
-0.2038116604089737,
-0.19006265699863434,
0.3096033036708832,
-0.1745517998933792,
0.4862302243709564,
0.3790242373943329,
0.04215044155716896,
0.3114556670188904,
-0.2637413740158081,
-0.17829710245132446,
-0.27737149596214294,
-0.04351421818137169,
0.1307753175497055,
-0.08891061693429947,
0.0912306010723114,
-0.2324364334344864,
0.5531402230262756,
0.3016226589679718,
-0.05554787442088127,
0.402709037065506,
0.18882033228874207,
-0.35648295283317566,
0.46582669019699097,
0.2532045543193817,
1.1186988353729248,
0.10575833171606064,
0.22237159311771393,
0.025403855368494987,
-0.4089376926422119,
0.35305437445640564,
-0.03306611254811287,
0.27251768112182617,
-0.49555546045303345,
0.22722499072551727,
0.02778870053589344,
-0.12293685227632523,
0.07964378595352173,
0.05283230543136597,
-0.2791069746017456,
0.15774792432785034,
-0.19735132157802582,
0.33613041043281555,
0.07588723301887512,
0.12650927901268005,
-0.4026111960411072,
-0.3452477753162384,
-0.48598966002464294,
0.08268708735704422,
-0.0839156061410904,
-0.08008492738008499,
0.026806294918060303,
-0.22409138083457947,
-0.4069483280181885,
-0.13697312772274017,
-0.13860879838466644,
0.1344418078660965,
-0.15800288319587708,
-0.11935333162546158,
0.2568901777267456,
-0.15448161959648132,
0.1984223872423172,
0.22811508178710938,
0.044915758073329926,
-0.05061230808496475,
-0.16760925948619843,
-0.014997882768511772,
0.27013689279556274,
0.119290791451931,
0.14295729994773865,
-0.02716231346130371,
0.07144752889871597,
0.04230803996324539,
0.08588617295026779,
0.23091283440589905,
-0.41005608439445496,
0.011083422228693962,
-0.12113763391971588,
0.2061464637517929,
-0.02342335507273674,
-0.13388706743717194,
-0.08782460540533066,
0.1156163364648819,
-0.034163787961006165,
-0.08314420282840729,
0.11682289093732834,
0.02967080846428871,
0.11227322369813919,
0.09993942826986313,
-0.15056654810905457,
-0.2468956857919693,
0.22061583399772644,
0.31885451078414917,
0.05648946389555931,
0.23681750893592834,
0.6745467782020569,
0.08035581558942795,
-0.1407400518655777,
-0.23257209360599518,
0.04807364195585251,
0.05120456591248512,
-0.7669649124145508,
0.3388831615447998,
-0.26796698570251465,
-0.4024945795536041,
0.13678430020809174,
0.5917766690254211,
-0.18555505573749542,
0.013741085305809975,
-0.09446477144956589,
-0.26656293869018555,
-0.0999530628323555,
0.19291791319847107,
0.031858328729867935,
0.07356467843055725,
-0.47675418853759766,
-0.12634235620498657,
0.077013298869133,
0.2244807481765747,
-0.26808497309684753,
-0.04891272261738777,
-0.23274007439613342,
0.37962934374809265,
0.014470371417701244,
0.08027582615613937,
-0.029821699485182762,
-0.15083588659763336,
-0.006759923417121172,
0.4313047528266907,
-0.1437537670135498,
-0.15116289258003235,
-0.27181383967399597,
0.13702808320522308,
0.07310252636671066,
-0.02484019286930561,
0.15791796147823334,
0.029813986271619797,
-0.012405332177877426,
-0.25564220547676086,
-0.0019760739523917437,
-0.18603654205799103,
-0.22291263937950134,
-0.028439858928322792,
0.058520592749118805,
0.28256914019584656,
-0.20867182314395905,
0.12727826833724976,
-0.1877673864364624,
0.07987657934427261,
-0.33941298723220825,
0.07165087014436722,
0.0795845165848732,
0.01573120430111885,
0.03195768594741821,
0.09080973267555237,
-0.1425258219242096,
-0.0751568153500557,
0.3140852451324463,
-0.34542152285575867,
-0.10453858226537704,
0.11357194930315018,
-0.11710692942142487,
0.3987213969230652,
-0.08429963141679764,
0.0142188910394907,
-0.02621438354253769,
0.132892906665802,
0.07714112102985382,
0.2576908767223358,
-0.27105873823165894,
-0.12639227509498596,
-0.051077645272016525,
0.30452293157577515,
0.17767731845378876,
-0.21350979804992676,
-0.040585022419691086,
0.12846365571022034,
0.05426356941461563,
-0.39167746901512146,
-0.14858029782772064,
0.08976992964744568,
-0.09947672486305237,
0.007058172952383757,
0.3367122709751129,
-0.11197759211063385,
0.02153922989964485,
0.08279450237751007,
0.4989663362503052,
0.45821982622146606,
0.3991211950778961,
0.1686481237411499,
-0.1109297052025795,
-0.0017289536772295833,
0.021545443683862686,
0.3171042203903198,
0.3153477907180786,
0.3045444190502167,
0.15489110350608826,
0.5104096531867981,
-0.3058183193206787,
-0.26720649003982544,
-0.09200482815504074,
0.06214466318488121,
-0.2543641924858093,
-0.14574840664863586,
-0.5064582228660583,
-0.14190508425235748,
-0.4231628477573395,
-0.10091531276702881,
-0.18652161955833435,
0.2660883069038391,
0.5050708651542664,
0.17831450700759888,
0.002986667212098837,
-0.5828505158424377,
-0.05613236129283905,
0.031109195202589035,
0.39658311009407043,
-0.24684008955955505,
0.5015378594398499,
-0.034852705895900726,
-0.09850364178419113,
-0.0982264056801796,
0.5166689157485962,
0.4602739214897156,
0.658098042011261,
-0.2757396399974823,
-0.07016029953956604,
0.0755322054028511,
-0.1338510811328888,
0.15214860439300537,
0.560676097869873,
0.3276122510433197,
0.1597321629524231,
0.119194395840168,
-0.034418873488903046,
-0.09463370591402054,
-0.11874871701002121,
-0.03437414765357971,
0.2678045332431793,
-0.09244730323553085,
0.3559325039386749,
-0.15395519137382507,
-0.2433711439371109,
-0.08671598136425018,
-0.15515699982643127,
-0.2883930504322052,
-0.05635581165552139,
0.131995290517807,
-0.07147859781980515,
0.054644398391246796,
-0.4272514879703522,
0.07915181666612625,
0.20936912298202515,
0.6322180032730103,
0.2378585934638977,
0.16091451048851013,
-0.4584113657474518,
-0.0798666924238205,
-0.7588366270065308,
0.1408187597990036,
-0.3934159278869629,
-0.16126668453216553,
0.026848670095205307,
0.3510177731513977,
-0.014346035197377205,
0.22938190400600433,
-0.05591055750846863,
0.32126232981681824,
0.17825938761234283,
0.29825806617736816,
-0.3454141616821289,
-0.17916670441627502,
0.2205495834350586,
-0.34437111020088196,
-0.04905865341424942,
-0.6017597317695618,
0.3270026743412018,
0.05008573457598686,
0.08173463493585587,
-0.0072829569689929485,
-0.22223277390003204,
0.33629393577575684,
0.28822779655456543,
0.32577577233314514,
0.16702665388584137,
0.28842398524284363,
0.19261880218982697,
-0.4587063193321228,
-0.39807507395744324,
-0.19980397820472717,
-0.30666327476501465,
-0.09984147548675537,
0.13190890848636627,
0.469083309173584,
-0.17963816225528717,
0.11805962771177292,
-0.2406579852104187,
0.25994083285331726,
-0.10598070174455643,
0.1154150664806366,
-0.15053409337997437,
0.1351410150527954,
-0.32362595200538635,
0.11830664426088333,
0.2612651586532593,
0.16057147085666656,
0.13314561545848846,
0.12775252759456635,
-0.4737321138381958,
-0.44358330965042114,
0.28088903427124023,
-0.382368266582489,
-0.38338354229927063,
0.2526189386844635,
0.22172559797763824,
0.39790093898773193,
-0.09128426015377045,
-0.7310709953308105,
-0.30311861634254456,
0.13606230914592743,
-0.08944423496723175,
0.004416736774146557,
0.06323638558387756,
0.0770341157913208,
-0.07732492685317993,
-0.21661345660686493,
0.28396815061569214,
-0.055229928344488144,
0.026483088731765747,
0.05415172129869461,
-0.25348347425460815
] |
https://github.com/huggingface/datasets/issues/207 | Remove test set from NLP viewer | Appears that [two thirds of those polled on Twitter](https://twitter.com/srush_nlp/status/1265734497632477185) are in favor of _some_ mechanism for averting eyeballs from the test data. | While the new [NLP viewer](https://huggingface.co./nlp/viewer/) is a great tool, I think it would be best to outright remove the option of looking at the test sets. At the very least, a warning should be displayed to users before showing the test set. Newcomers to the field might not be aware of best practices, and small things like this can help increase awareness. | 22 | Remove test set from NLP viewer
While the new [NLP viewer](https://huggingface.co./nlp/viewer/) is a great tool, I think it would be best to outright remove the option of looking at the test sets. At the very least, a warning should be displayed to users before showing the test set. Newcomers to the field might not be aware of best practices, and small things like this can help increase awareness.
Appears that [two thirds of those polled on Twitter](https://twitter.com/srush_nlp/status/1265734497632477185) are in favor of _some_ mechanism for averting eyeballs from the test data. | [
-0.13736309111118317,
0.17048241198062897,
-0.19007155299186707,
-0.2922055423259735,
-0.17911377549171448,
0.04491616040468216,
0.2525574564933777,
0.5567144751548767,
0.05526884272694588,
0.05124494805932045,
0.014377610757946968,
0.1753867268562317,
-0.36144739389419556,
0.08514582365751266,
0.07604800164699554,
0.1644965261220932,
-0.3026103973388672,
0.5070192813873291,
-0.1310981810092926,
0.12752597033977509,
-0.22304971516132355,
-0.20796167850494385,
0.0001338271686108783,
0.24395659565925598,
0.18622946739196777,
-0.3947819769382477,
0.187974214553833,
-0.16565647721290588,
-0.01923190802335739,
-0.5875658392906189,
-0.1071891337633133,
0.20037777721881866,
-0.17094111442565918,
-0.11505236476659775,
-0.00009701008821139112,
0.0429435595870018,
0.16814827919006348,
0.12773188948631287,
-0.2890508472919464,
0.10696448385715485,
-0.12031278759241104,
-0.058830853551626205,
0.2786581516265869,
-0.13759101927280426,
-0.08296416699886322,
-0.22412878274917603,
0.14215503633022308,
-0.22430960834026337,
0.1030537337064743,
0.35247379541397095,
0.3387938141822815,
0.35248619318008423,
-0.30852431058883667,
0.4340731203556061,
0.13730216026306152,
-0.011704793199896812,
-0.2752701938152313,
0.04518892616033554,
0.03301114961504936,
0.015701161697506905,
-0.3985557556152344,
0.5405017733573914,
-0.06409753859043121,
-0.007953503169119358,
-0.038286928087472916,
-0.17734363675117493,
0.39336293935775757,
-0.2694500684738159,
-0.30618682503700256,
0.08690247684717178,
0.19845092296600342,
-0.1947709619998932,
-0.062350787222385406,
-0.41920173168182373,
0.23830950260162354,
0.04672984033823013,
0.09231418371200562,
0.2671627104282379,
-0.058676376938819885,
0.2318631410598755,
-0.5527656674385071,
-0.41144225001335144,
-0.11093438416719437,
0.08389531075954437,
0.14198194444179535,
-0.10454492270946503,
0.08363674581050873,
-0.056577373296022415,
0.35432329773902893,
-0.08692149817943573,
0.1727447509765625,
-0.05581134185194969,
-0.25806012749671936,
0.014445465989410877,
-0.005055202171206474,
-0.5017731785774231,
0.0999644473195076,
-0.0190570168197155,
-0.0335976667702198,
0.2049787938594818,
0.08029267936944962,
0.10392972081899643,
-0.20464003086090088,
0.06354318559169769,
0.10912445932626724,
0.12340128421783447,
0.35100439190864563,
0.06238699331879616,
0.2597541809082031,
0.2474016696214676,
0.24320942163467407,
0.30436408519744873,
0.3376288115978241,
-0.25187209248542786,
-0.2752174139022827,
0.1266622394323349,
0.3540286719799042,
-0.23466217517852783,
-0.34609290957450867,
0.0034455526620149612,
-0.5296182036399841,
0.014235141687095165,
0.014480259269475937,
0.10928118228912354,
-0.0006177048780955374,
0.12058725208044052,
0.035311464220285416,
0.03173805773258209,
-0.36195671558380127,
-0.35781925916671753,
-0.054423511028289795,
0.10798407346010208,
-0.09068254381418228,
0.1193414106965065,
0.4057035744190216,
0.043408170342445374,
0.16046151518821716,
-0.03420179337263107,
0.09332382678985596,
0.040589589625597,
0.3698309361934662,
0.02462463639676571,
0.3463379442691803,
-0.057568036019802094,
-0.11738015711307526,
-0.21008720993995667,
-0.2158709466457367,
-0.14201435446739197,
-0.18773360550403595,
0.15288551151752472,
0.09354343265295029,
-0.20848298072814941,
0.052669133991003036,
0.35050898790359497,
-0.4395666718482971,
-0.014217783696949482,
0.0917811170220375,
0.23471501469612122,
-0.3213297128677368,
-0.04506218805909157,
0.14012688398361206,
-0.17458830773830414,
-0.13457627594470978,
0.073859803378582,
-0.17334561049938202,
0.2905425429344177,
-0.09705211222171783,
-0.08341508358716965,
-0.03997648507356644,
-0.09570499509572983,
-0.20757614076137543,
-0.024172253906726837,
-0.4004933834075928,
0.1751304715871811,
-0.2039685845375061,
-0.06718969345092773,
0.3619678318500519,
-0.2131473571062088,
-0.10236624628305435,
0.2003476470708847,
-0.23160776495933533,
0.016959914937615395,
-0.14347781240940094,
0.07153677940368652,
-0.16221840679645538,
-0.4502270519733429,
-0.47924813628196716,
0.0716373473405838,
0.06016077846288681,
0.14337126910686493,
-0.44935888051986694,
-0.42560943961143494,
0.4917643666267395,
0.04578416794538498,
-0.05306456983089447,
-0.1359756737947464,
-0.1581977754831314,
0.25878414511680603,
0.4374868869781494,
0.028907835483551025,
-0.03932274505496025,
-0.23834086954593658,
0.2083147168159485,
-0.3265896439552307,
-0.2815675437450409,
0.00792440865188837,
-0.13267399370670319,
-0.16728749871253967,
-0.08347085118293762,
0.18698106706142426,
0.4207231104373932,
-0.2829241156578064,
-0.09006613492965698,
-0.09678644686937332,
-0.15172308683395386,
-0.09776090085506439,
0.29000481963157654,
-0.14137011766433716,
-0.09831620007753372,
0.13745425641536713,
0.09653115272521973,
-0.1579170823097229,
-0.17216801643371582,
0.038154978305101395,
0.020720187574625015,
-0.17654553055763245,
-0.05305396392941475,
0.10111177712678909,
0.31183338165283203,
0.3026479482650757,
0.07121872901916504,
0.06072955206036568,
0.07649943977594376,
0.17240816354751587,
0.06634186953306198,
0.10490531474351883,
0.23246608674526215,
0.27824151515960693,
0.07447241991758347,
-0.44166043400764465,
-0.01435122825205326,
0.13553407788276672,
-0.15129214525222778,
0.23665398359298706,
-0.3167857527732849,
0.25637221336364746,
0.1614445000886917,
-0.07265815883874893,
0.003108428791165352,
-0.029503514990210533,
0.048931822180747986,
-0.33980298042297363,
-0.13817612826824188,
-0.3378734886646271,
-0.02647312730550766,
0.2268938273191452,
-0.18623073399066925,
0.23691892623901367,
-0.33784252405166626,
0.17116950452327728,
0.09643427282571793,
-0.015973854809999466,
-0.026087403297424316,
0.10548385232686996,
0.2049354612827301,
-0.35236161947250366,
0.23605777323246002,
0.0762559249997139,
0.10919374972581863,
0.3495018184185028,
0.22472383081912994,
0.17187008261680603,
-0.21009552478790283,
-0.2726421356201172,
0.31514957547187805,
0.3302740454673767,
0.2265135496854782,
-0.024842604994773865,
0.24631288647651672,
-0.16664554178714752,
-0.24240075051784515,
0.07095260918140411,
-0.10728862881660461,
-0.05060568451881409,
-0.37377095222473145,
0.024834895506501198,
-0.14935225248336792,
-0.5540047287940979,
-0.1692960411310196,
0.19525079429149628,
-0.09234829246997833,
-0.2506902515888214,
0.5380778312683105,
-0.028284285217523575,
-0.3674876391887665,
0.22021853923797607,
-0.29027318954467773,
0.6584699153900146,
-0.20973874628543854,
0.2230774164199829,
-0.06582248210906982,
-0.020816441625356674,
-0.36914482712745667,
0.3089110851287842,
0.17983654141426086,
0.06083407998085022,
0.5227044820785522,
0.10138288140296936,
-0.17568477988243103,
-0.17620231211185455,
-0.272009938955307,
0.08650889247655869,
-0.03296928107738495,
0.3253639042377472,
-0.0012538830051198602,
-0.16571028530597687,
-0.04760980233550072,
-0.14837419986724854,
-0.4186190962791443,
-0.22404420375823975,
-0.00045906705781817436,
-0.1523250937461853,
0.1457800269126892,
0.3848962187767029,
-0.24102413654327393,
-0.46456432342529297,
0.0017176615074276924,
-0.21992281079292297,
0.020160358399152756,
-0.014971165917813778,
0.20743195712566376,
0.20418451726436615,
-0.2656363844871521,
0.005003551486879587,
-0.14018693566322327,
-0.05355378985404968,
-0.11937110871076584,
0.04450145736336708,
0.012334302999079227,
-0.270201712846756,
-0.28076621890068054,
0.019245941191911697,
-0.2571012079715729,
0.1463608294725418,
-0.17370162904262543,
-0.6786444783210754,
-0.32688578963279724,
0.18293803930282593,
-0.09719084203243256,
-0.04581768810749054,
-0.5455363392829895,
-0.11407420039176941,
0.1751355528831482,
-0.262187659740448,
0.12555097043514252,
0.08653390407562256,
0.2562341094017029,
0.0054036714136600494,
0.14535996317863464,
-0.10717689245939255,
-0.10614803433418274,
0.26796677708625793,
0.1563168168067932,
0.2747742235660553,
0.11752189695835114,
-0.007231594063341618,
0.08923893421888351,
0.260608434677124,
-0.008756565861403942,
-0.03511315584182739,
0.04626874625682831,
0.1289527416229248,
0.01569892093539238,
0.33214277029037476,
-0.11922289431095123,
-0.31336134672164917,
0.05188710615038872,
0.08164607733488083,
-0.21345077455043793,
-0.40376412868499756,
0.14978037774562836,
-0.4017370641231537,
0.1390129029750824,
0.12182235717773438,
0.04311315715312958,
0.06124291941523552,
-0.5748981237411499,
0.058783967047929764,
-0.19713015854358673,
0.22688190639019012,
-0.06648273766040802,
-0.2071051299571991,
-0.013696732930839062,
-0.27502650022506714,
-0.011230655945837498,
0.1462322175502777,
0.384588360786438,
0.01064359862357378,
-0.2336488962173462,
0.24429193139076233,
0.16834469139575958,
0.21813783049583435,
0.06173032894730568,
0.20189164578914642,
0.13025884330272675,
-0.12362939119338989,
-0.30144646763801575,
0.18793058395385742,
-0.21928907930850983,
-0.09623338282108307,
0.15762045979499817,
-0.02711099572479725,
0.029720239341259003,
-0.24706539511680603,
0.3698942959308624,
0.12154686450958252,
-0.2316068857908249,
0.02466561459004879,
-0.013284413143992424,
0.010629900731146336,
-0.03718144819140434,
0.24638673663139343,
-0.1701391637325287,
-0.02812204509973526,
-0.3634011149406433,
-0.1015850156545639,
-0.024530071765184402,
-0.20282815396785736,
0.3764398396015167,
0.28827857971191406,
-0.01591493934392929,
0.27267417311668396,
0.09733467549085617,
0.2122037261724472,
0.03915722668170929,
-0.1911204308271408,
0.18984751403331757,
0.2478581815958023,
0.3424510955810547,
-0.044840577989816666,
-0.20925548672676086,
0.34741106629371643,
0.4122863709926605,
0.13903388381004333,
0.0013977538328617811,
-0.38751837611198425,
0.05723695829510689,
-0.2808184027671814,
0.2900630831718445,
0.07467538118362427,
-0.17464786767959595,
0.05383197218179703,
-0.1256577968597412,
0.24363839626312256,
-0.12188340723514557,
-0.36395180225372314,
0.0006386784370988607,
0.11594981700181961,
-0.18264415860176086,
0.2092994600534439,
0.4568054974079132,
0.7854481339454651,
0.04531301558017731,
0.19970214366912842,
0.47228071093559265,
-0.1578017771244049,
0.43638351559638977,
-0.1543489247560501,
0.2508733868598938,
-0.1341296136379242,
0.09534647315740585,
0.05953192710876465,
-0.1178390309214592,
0.11199314147233963,
0.2078068107366562,
0.002055149059742689,
0.0006367655005306005,
0.26226556301116943,
-0.3583506643772125,
-0.11938635259866714,
0.3215343654155731,
0.04634006693959236,
-0.021234925836324692,
-0.30379751324653625,
0.2726382315158844,
-0.16115760803222656,
-0.20504239201545715,
0.10787377506494522,
0.028086073696613312,
0.3095529079437256,
0.04540582373738289,
0.18522466719150543,
0.1358148753643036,
0.11219006031751633,
0.1330634206533432,
-0.13726204633712769,
-0.18840186297893524,
0.3965901732444763,
0.23549354076385498,
-0.1709231585264206,
0.12436362355947495,
-0.08929352462291718,
-0.012548196129500866,
-0.1636730581521988,
0.2965008616447449,
0.21388866007328033,
0.28330379724502563,
0.3150733411312103,
-0.1993122100830078,
-0.17023946344852448,
0.264915406703949,
0.19701603055000305,
0.059723980724811554,
-0.08262798190116882,
-0.005859395023435354,
0.21425308287143707,
-0.47217732667922974,
0.03237330541014671,
0.03920373693108559,
0.11395228654146194,
-0.15051233768463135,
0.28724604845046997,
0.04401303082704544,
-0.038295138627290726,
0.04322884604334831,
0.3496761620044708,
-0.23045501112937927,
0.10065090656280518,
0.05798110365867615,
0.09893631935119629,
0.10475975275039673,
0.4397662878036499,
-0.16813936829566956,
-0.24870665371418,
-0.4134775996208191,
0.259731650352478,
-0.12139647454023361,
-0.2759037911891937,
0.10330574214458466,
0.12412769347429276,
-0.0599198192358017,
-0.036588091403245926,
0.21929119527339935,
-0.10416185855865479,
-0.00694270571693778,
-0.09856217354536057,
0.004728649277240038,
0.0028258066158741713,
0.1621440052986145,
-0.13531611859798431,
0.26489511132240295,
0.23671163618564606,
0.17586511373519897,
-0.07974201440811157,
0.16820965707302094,
-0.4586579501628876,
-0.23570460081100464,
-0.36296021938323975,
0.16979293525218964,
-0.3387686014175415,
0.1633303463459015,
0.025976600125432014,
0.0013713031075894833,
0.13112425804138184,
-0.2586059272289276,
-0.23900224268436432,
-0.3924417197704315,
-0.11555536836385727,
0.05777059122920036,
-0.014545128680765629,
-0.1714857667684555,
0.0207369402050972,
0.011869668960571289,
0.10929109901189804,
0.05694764852523804,
-0.11095643043518066,
-0.3612697124481201,
0.1871645748615265,
0.6549925208091736,
-0.22639766335487366,
-0.37684395909309387,
0.04805314168334007,
0.0021647317335009575,
-0.33640173077583313,
0.18045571446418762,
0.19234509766101837,
0.25698819756507874,
0.07886822521686554,
-0.07736138999462128,
0.09211722016334534,
0.14207778871059418,
-0.0038997551891952753,
0.24301698803901672,
-0.22079457342624664,
0.056131791323423386,
0.016851594671607018,
-0.029933232814073563,
-0.025893164798617363,
-0.027973689138889313,
-0.3015800714492798,
-0.29457855224609375,
0.2904885411262512,
0.3381890654563904,
-0.31036195158958435,
0.027729492634534836,
0.3251906931400299,
0.04844783991575241,
0.07958592474460602,
0.21352927386760712,
0.08040444552898407,
0.02968447655439377,
0.295149564743042,
0.030976224690675735,
-0.00004258426997694187,
-0.32472988963127136,
0.08860588818788528,
0.16464734077453613,
-0.41913872957229614,
-0.2750464677810669,
0.12339724600315094,
0.1220627948641777,
0.17781174182891846,
-0.019305448979139328,
0.19298267364501953,
0.601468563079834,
-0.04290498420596123,
0.3327937424182892,
-0.029134884476661682,
-0.04987712949514389,
-0.06779879331588745,
0.006361773703247309,
-0.17296257615089417,
0.08005885034799576,
0.3721136152744293,
0.3768928349018097,
0.2283656895160675,
-0.12036123871803284,
-0.06467608362436295,
0.04855969920754433,
0.017171278595924377,
0.17235636711120605,
-0.2735922336578369,
0.11902850866317749,
-0.09038832783699036,
0.1302608847618103,
0.07079992443323135,
-0.209639772772789,
0.10960591584444046,
0.11861130595207214,
-0.10826563090085983,
-0.10142280161380768,
0.1704082190990448,
-0.03653175011277199,
0.25225892663002014,
-0.09298396855592728,
-0.19044877588748932,
-0.0768478587269783,
0.34443750977516174,
0.16699548065662384,
0.3699306845664978,
-0.14906471967697144,
-0.18440505862236023,
-0.02608889527618885,
-0.18871255218982697,
-0.09965503960847855,
-0.009150553494691849,
-0.3066663444042206,
0.26656508445739746,
0.07575138658285141,
0.14168745279312134,
0.25459790229797363,
0.21736067533493042,
-0.09045793116092682,
0.059996020048856735,
0.3468180298805237,
-0.22026768326759338,
-0.2666853964328766,
0.2640351951122284,
0.5363552570343018,
-0.33223021030426025,
-0.06163092702627182,
-0.1159563958644867,
0.059843096882104874,
0.10731934010982513,
0.2752535343170166,
-0.24124665558338165,
0.09731150418519974,
-0.2812126874923706,
0.15977290272712708,
0.2776830494403839,
0.43047937750816345,
0.005765522830188274,
0.17219898104667664,
-0.09262137115001678,
-0.07269597798585892,
-0.5211899280548096,
0.18362869322299957,
0.22089840471744537,
-0.14337532222270966,
0.2590456008911133,
-0.026720397174358368,
-0.18254782259464264,
0.2621278464794159,
-0.3430917263031006,
0.19634002447128296,
-0.03144639730453491,
-0.2231312245130539,
-0.2514566481113434,
0.035639677196741104,
-0.03186836838722229,
0.2519476115703583,
-0.17884774506092072,
-0.10400588810443878,
0.20293278992176056,
-0.18828240036964417,
0.158780038356781,
0.06955959647893906,
0.0849524736404419,
0.14256049692630768,
0.2857637107372284,
0.2812420129776001,
0.16929619014263153,
0.12046943604946136,
-0.03955947235226631,
0.09596670418977737,
0.0005992946098558605,
-0.018906015902757645,
-0.18427997827529907,
-0.20551955699920654,
0.09908095747232437,
0.19717472791671753,
-0.09581457823514938,
0.2707025706768036,
0.12599599361419678,
0.16755004227161407,
-0.027381159365177155,
0.22046241164207458,
-0.11364404857158661,
0.1647745817899704,
0.03281619772315025,
0.29282325506210327,
-0.12845435738563538,
0.22897577285766602,
-0.09584255516529083,
-0.1429789513349533,
-0.07893220335245132,
-0.19231905043125153,
0.2561526298522949,
-0.29874616861343384,
-0.04730799421668053,
0.02888866700232029,
0.37274402379989624,
0.009692187421023846,
-0.31185078620910645,
-0.45354220271110535,
-0.28493228554725647,
0.2458088994026184,
-0.08283800631761551,
0.24263308942317963,
0.44049498438835144,
-0.11160431802272797,
-0.1418987214565277,
-0.08976597338914871,
0.31003081798553467,
0.07364293932914734,
0.13642029464244843,
0.07103078067302704,
-0.34688350558280945
] |
https://github.com/huggingface/datasets/issues/206 | [Question] Combine 2 datasets which have the same columns | We are thinking about ways to combine datasets for T5 in #217, feel free to share your thoughts about this. | Hi,
I am using ``nlp`` to load personal datasets. I created summarization datasets in multi-languages based on wikinews. I have one dataset for english and one for german (french is getting to be ready as well). I want to keep these datasets independent because they need different pre-processing (add different task-specific prefixes for T5 : *summarize:* for english and *zusammenfassen:* for german)
My issue is that I want to train T5 on the combined english and german datasets to see if it improves results. So I would like to combine 2 datasets (which have the same columns) to make one and train T5 on it. I was wondering if there is a proper way to do it? I assume that it can be done by combining all examples of each dataset but maybe you have a better solution.
Hoping this is clear enough,
Thanks a lot 😊
Best | 20 | [Question] Combine 2 datasets which have the same columns
Hi,
I am using ``nlp`` to load personal datasets. I created summarization datasets in multi-languages based on wikinews. I have one dataset for english and one for german (french is getting to be ready as well). I want to keep these datasets independent because they need different pre-processing (add different task-specific prefixes for T5 : *summarize:* for english and *zusammenfassen:* for german)
My issue is that I want to train T5 on the combined english and german datasets to see if it improves results. So I would like to combine 2 datasets (which have the same columns) to make one and train T5 on it. I was wondering if there is a proper way to do it? I assume that it can be done by combining all examples of each dataset but maybe you have a better solution.
Hoping this is clear enough,
Thanks a lot 😊
Best
We are thinking about ways to combine datasets for T5 in #217, feel free to share your thoughts about this. | [
-0.24451382458209991,
0.06389869004487991,
0.024110980331897736,
0.362822949886322,
0.10962217301130295,
0.43875232338905334,
0.26998773217201233,
0.3603741228580475,
0.044978752732276917,
-0.11644750833511353,
-0.3814811110496521,
0.12374284118413925,
0.003628325881436467,
0.27198466658592224,
0.2713170647621155,
-0.5642142295837402,
0.058044884353876114,
0.21875324845314026,
-0.5200102925300598,
0.18503721058368683,
0.007575650233775377,
0.005126405972987413,
-0.1654464304447174,
0.012677017599344254,
-0.2030433565378189,
0.23494407534599304,
-0.34226280450820923,
-0.22793914377689362,
0.046384040266275406,
0.15664565563201904,
0.3019717037677765,
0.16707953810691833,
0.2146206796169281,
0.31491562724113464,
-0.000119927448395174,
-0.07949525862932205,
-0.01648912951350212,
-0.09052349627017975,
0.14189749956130981,
-0.19872885942459106,
0.09682527929544449,
-0.3619499206542969,
-0.06335436552762985,
-0.15658177435398102,
0.08227751404047012,
-0.2395307719707489,
-0.233183354139328,
0.03752850368618965,
0.2680857181549072,
-0.16603007912635803,
0.05411143600940704,
-0.18832089006900787,
-0.2511498034000397,
0.34095093607902527,
-0.07127469778060913,
-0.1605684906244278,
0.061465684324502945,
-0.06943436712026596,
0.08189096301794052,
-0.31951552629470825,
0.5779259204864502,
0.21333351731300354,
-0.035110339522361755,
-0.11987728625535965,
0.08233312517404556,
0.14248372614383698,
0.14339230954647064,
-0.1095089539885521,
0.0553346686065197,
0.19000254571437836,
0.7741909623146057,
-0.0596495047211647,
0.008375687524676323,
-0.291532963514328,
0.40387386083602905,
-0.13154691457748413,
-0.19321149587631226,
0.1430448591709137,
0.01704300008714199,
0.025498047471046448,
-0.2548201084136963,
-0.15631981194019318,
-0.016406523063778877,
0.3023144006729126,
-0.04316458851099014,
0.33158162236213684,
0.1102491095662117,
0.27707937359809875,
-0.06372163444757462,
-0.1514381468296051,
0.16603219509124756,
-0.33642616868019104,
0.0009917286224663258,
0.1547575443983078,
-0.30736345052719116,
-0.4046191871166229,
-0.3330448865890503,
-0.18422916531562805,
0.2726253271102905,
-0.15348786115646362,
-0.1543884575366974,
-0.006971367169171572,
-0.10903947800397873,
0.13872353732585907,
0.3026828467845917,
0.15827211737632751,
0.13860982656478882,
0.21253810822963715,
-0.18847210705280304,
-0.31628310680389404,
-0.3603149354457855,
0.16161008179187775,
0.07011718302965164,
-0.07282983511686325,
-0.12339496612548828,
-0.2811371386051178,
-0.05845237150788307,
-0.3414455056190491,
0.14554014801979065,
-0.19353166222572327,
-0.2755388021469116,
-0.23108279705047607,
-0.102567158639431,
-0.15161018073558807,
-0.01819591224193573,
0.3452565670013428,
-0.14899329841136932,
0.30911681056022644,
-0.10607443749904633,
-0.013937405310571194,
-0.02503010630607605,
0.07381518930196762,
-0.17078687250614166,
0.12826980650424957,
0.09456341713666916,
0.17032967507839203,
-0.13089551031589508,
0.41861793398857117,
-0.18310436606407166,
0.1015595942735672,
0.32089918851852417,
-0.19957438111305237,
-0.07107508927583694,
-0.24224181473255157,
0.3129125237464905,
0.16381829977035522,
0.16308432817459106,
0.1007978543639183,
-0.30066707730293274,
0.16731731593608856,
-0.17366516590118408,
-0.08247588574886322,
0.0157319363206625,
0.05949970707297325,
-0.08394355326890945,
-0.3012196719646454,
-0.12381000816822052,
0.6368829607963562,
0.23763449490070343,
-0.3169041574001312,
-0.14158740639686584,
0.09555366635322571,
-0.4641839861869812,
-0.04789231717586517,
0.20856651663780212,
0.025119882076978683,
-0.3501131534576416,
-0.13585294783115387,
0.0010473888833075762,
-0.00636476743966341,
-0.050108857452869415,
0.28892144560813904,
-0.26644930243492126,
0.20656637847423553,
0.09581867605447769,
0.06720889359712601,
0.6602528691291809,
0.017082922160625458,
-0.21449244022369385,
0.22153355181217194,
-0.15071648359298706,
0.13258783519268036,
-0.10475068539381027,
0.11741260439157486,
-0.37669840455055237,
-0.0470036081969738,
0.1844799816608429,
0.838509738445282,
-0.2917751669883728,
-0.15610268712043762,
-0.06377508491277695,
-0.3239148259162903,
0.33796387910842896,
0.15537384152412415,
0.1021534651517868,
-0.24988193809986115,
-0.1425955593585968,
0.16948100924491882,
0.16629908978939056,
-0.35606640577316284,
0.16821642220020294,
0.18711203336715698,
-0.029124926775693893,
0.11734015494585037,
-0.22763417661190033,
-0.2857428789138794,
-0.2659728527069092,
-0.13448543846607208,
0.11240158975124359,
0.04761658236384392,
0.44605568051338196,
-0.45091038942337036,
0.06634581834077835,
-0.6603158712387085,
-0.020744120702147484,
0.09107719361782074,
-0.0005951409111730754,
0.31140586733818054,
0.10588061809539795,
-0.2892330586910248,
-0.17570403218269348,
0.3350968658924103,
-0.052014146000146866,
-0.16662946343421936,
-0.1528075784444809,
0.4420304596424103,
0.03853129222989082,
0.0737515464425087,
0.00935167632997036,
0.5092475414276123,
0.04848816990852356,
0.03464546799659729,
0.14941996335983276,
-0.12538082897663116,
-0.5496702790260315,
0.18980063498020172,
0.18357008695602417,
0.028573859483003616,
-0.15538720786571503,
-0.06806933134794235,
0.3543195426464081,
-0.33441996574401855,
-0.005318505689501762,
-0.16024212539196014,
-0.07414712011814117,
0.4110817313194275,
-0.24898134171962738,
0.36992505192756653,
-0.02039080485701561,
-0.11749543994665146,
0.01692468486726284,
-0.15341854095458984,
0.021901628002524376,
-0.10193340480327606,
0.2140548676252365,
-0.007762819994240999,
0.013551082462072372,
0.34956732392311096,
-0.38780564069747925,
0.24616017937660217,
0.28392359614372253,
0.1036929190158844,
-0.04670192673802376,
-0.01428297720849514,
-0.14048494398593903,
-0.047391895204782486,
0.03492921218276024,
0.17373283207416534,
0.5730594396591187,
0.19658632576465607,
0.20182695984840393,
0.23324693739414215,
-0.15427322685718536,
0.12579281628131866,
0.014814486727118492,
0.1872757226228714,
0.06608539074659348,
0.30791226029396057,
0.09058137238025665,
0.2213161289691925,
0.18971006572246552,
0.3987441658973694,
0.20331713557243347,
-0.09153178334236145,
-0.19266954064369202,
-0.005747878458350897,
-0.2850170135498047,
-0.6398733854293823,
-0.5628807544708252,
-0.12821359932422638,
-0.22112107276916504,
-0.05307042971253395,
-0.09376536309719086,
-0.0052851964719593525,
0.008729212917387486,
0.18447570502758026,
-0.11454137414693832,
0.4212615191936493,
-0.4750217795372009,
-0.27784043550491333,
0.2787615954875946,
0.04162326082587242,
-0.1818006932735443,
0.07090511173009872,
0.40793895721435547,
0.21213595569133759,
0.25454768538475037,
-0.05741814151406288,
-0.23279772698879242,
-0.060105349868535995,
-0.5316919684410095,
0.050194915384054184,
-0.3654114007949829,
-0.1488938182592392,
-0.25188788771629333,
-0.10150112211704254,
-0.21497665345668793,
-0.3766777515411377,
0.051559094339609146,
0.31181788444519043,
0.0527416355907917,
-0.12870056927204132,
0.05726407840847969,
0.28694143891334534,
-0.10500973463058472,
-0.29453176259994507,
-0.4214807152748108,
-0.05987599864602089,
0.04238336533308029,
-0.16191205382347107,
-0.02081904374063015,
-0.36425936222076416,
-0.05395563319325447,
-0.03650941699743271,
-0.26720666885375977,
-0.011379940435290337,
-0.20162345468997955,
0.0008079031249508262,
0.1787797510623932,
-0.13474680483341217,
-0.12834617495536804,
-0.08461173623800278,
-0.18979676067829132,
0.299744576215744,
-0.030815821141004562,
-0.10249166935682297,
-0.15170371532440186,
-0.13994339108467102,
-0.002392875263467431,
-0.14289139211177826,
0.3774224817752838,
0.17890025675296783,
0.017671838402748108,
0.14856775104999542,
0.07189647108316422,
-0.22946876287460327,
0.021115802228450775,
0.09855344146490097,
0.4574986398220062,
-0.19675227999687195,
0.25292709469795227,
-0.14573264122009277,
0.6077178716659546,
0.5213463306427002,
0.16695119440555573,
0.06605686247348785,
0.2555118799209595,
0.1424030214548111,
0.063320092856884,
-0.20977582037448883,
0.20084504783153534,
0.19462954998016357,
0.057669442147016525,
0.26992395520210266,
0.10378686338663101,
-0.053352240473032,
-0.33397626876831055,
0.09006959199905396,
-0.3042639195919037,
-0.11738710850477219,
0.37775230407714844,
-0.27257445454597473,
0.11911506205797195,
0.011027183383703232,
-0.46415653824806213,
-0.3556425869464874,
-0.13096462190151215,
-0.21647541224956512,
0.11839047819375992,
-0.25855615735054016,
0.13618578016757965,
-0.5622231960296631,
-0.10364466160535812,
-0.14068950712680817,
0.3238656520843506,
0.15147565305233002,
0.308350533246994,
0.04973016679286957,
0.055047407746315,
-0.24609525501728058,
-0.04382020980119705,
0.06486961245536804,
-0.49241185188293457,
-0.13473418354988098,
0.06497935950756073,
0.014051536098122597,
-0.23107853531837463,
-0.1758926957845688,
0.017376063391566277,
-0.0913957804441452,
-0.182997927069664,
0.3364604711532593,
-0.31847742199897766,
-0.15623876452445984,
0.6944689154624939,
0.43872082233428955,
-0.07578422874212265,
-0.3850884735584259,
0.04643484950065613,
-0.1232316717505455,
-0.1433953493833542,
-0.26000750064849854,
-0.04751051217317581,
0.16320332884788513,
-0.36894550919532776,
0.1504460722208023,
0.01641148142516613,
0.08038848638534546,
0.45044881105422974,
0.10332699865102768,
0.0721360445022583,
0.352663516998291,
0.3876458406448364,
-0.24028676748275757,
-0.0815339908003807,
-0.252618670463562,
0.4975561201572418,
-0.07558069378137589,
-0.3227156400680542,
-0.17115619778633118,
-0.14382457733154297,
0.7155781984329224,
-0.06854794919490814,
0.15113170444965363,
0.23169198632240295,
-0.39959779381752014,
-0.3615082800388336,
0.0019529948476701975,
0.20284651219844818,
0.28261324763298035,
0.3221149146556854,
-0.39712855219841003,
-0.44975560903549194,
0.6233005523681641,
0.41063886880874634,
-0.020718872547149658,
0.2541218400001526,
-0.2573799788951874,
-0.17415769398212433,
0.09945603460073471,
-0.10148340463638306,
0.8141270875930786,
0.02181338146328926,
0.3815935254096985,
-0.0004790184902958572,
-0.1681196689605713,
0.7002719044685364,
-0.09663413465023041,
0.019922100007534027,
0.02017255686223507,
-0.14376352727413177,
-0.035385943949222565,
-0.03009582869708538,
-0.12921667098999023,
0.37022170424461365,
-0.20778588950634003,
0.317170649766922,
-0.0004514182801358402,
-0.005243171472102404,
0.0035990418400615454,
0.4091915786266327,
0.06669445335865021,
-0.258772611618042,
-0.3931369483470917,
-0.03033839724957943,
-0.302725613117218,
-0.05387965217232704,
-0.1444963961839676,
0.07147295027971268,
-0.1313789039850235,
0.07047813385725021,
-0.14826825261116028,
0.29996412992477417,
0.5066028833389282,
0.04458443075418472,
-0.4117031395435333,
-0.4415704309940338,
0.2938781976699829,
0.14138098061084747,
0.355612576007843,
0.029089447110891342,
0.029953358694911003,
0.014914832077920437,
-0.35656362771987915,
-0.01575484871864319,
-0.11483701318502426,
-0.2938969135284424,
0.2594216465950012,
0.020187411457300186,
-0.25334009528160095,
0.06901312619447708,
0.4127650260925293,
-0.08236540853977203,
-0.254402756690979,
-0.17855194211006165,
0.3314894139766693,
-0.05946112424135208,
-0.5873773097991943,
0.657164990901947,
0.15120774507522583,
-0.07791898399591446,
0.010054511949419975,
-0.11371666938066483,
-0.2892288267612457,
0.38451629877090454,
-0.2728395164012909,
-0.2554662525653839,
0.06018338352441788,
0.18039080500602722,
0.30600014328956604,
-0.3658265471458435,
0.4701858162879944,
0.1839188188314438,
0.27440986037254333,
0.022973431274294853,
-0.06155139580368996,
0.2622482180595398,
-0.07377304881811142,
-0.35813164710998535,
0.10253539681434631,
0.20453286170959473,
0.11256226152181625,
0.15273042023181915,
0.16331599652767181,
0.1222742423415184,
0.2067319005727768,
-0.06777968257665634,
-0.3782423734664917,
0.2728556990623474,
0.20024091005325317,
0.2617899477481842,
0.25701791048049927,
0.3128030598163605,
0.06446409970521927,
0.6031779646873474,
-0.16969521343708038,
-0.019097592681646347,
0.13622424006462097,
0.285241961479187,
0.3465155363082886,
0.08450649678707123,
-0.4070691764354706,
0.014368128031492233,
-0.04422110319137573,
0.0018222432117909193,
0.11410626024007797,
-0.14427243173122406,
-0.07686248421669006,
0.1759718656539917,
0.34493157267570496,
0.0011230944655835629,
0.060232967138290405,
-0.28074121475219727,
-0.011822552420198917,
-0.022508984431624413,
0.06651231646537781,
-0.09257759898900986,
-0.0002627990616019815,
0.3806403875350952,
-0.07365352660417557,
0.03403816744685173,
-0.2856472432613373,
0.26426956057548523,
-0.13234993815422058,
-0.03567854315042496,
0.259003609418869,
0.10173752903938293,
0.39166635274887085,
-0.04448321461677551,
-0.2572685778141022,
-0.26786404848098755,
0.2171396166086197,
0.06505493819713593,
-0.3455160856246948,
-0.03496995195746422,
0.04609052091836929,
-0.061143580824136734,
0.15212325751781464,
0.3250304162502289,
-0.10721519589424133,
-0.02506868727505207,
0.23458248376846313,
0.0007481424254365265,
-0.19700078666210175,
0.0721050575375557,
0.23050765693187714,
-0.06402736902236938,
-0.14158546924591064,
0.21958497166633606,
0.09061215072870255,
0.37726137042045593,
-0.311191588640213,
-0.012799124233424664,
-0.00748078990727663,
-0.03604850545525551,
0.3243546783924103,
0.5464569926261902,
-0.032420992851257324,
-0.10312557220458984,
-0.01200280524790287,
0.0809040293097496,
0.05886481702327728,
-0.05017796531319618,
-0.1465628743171692,
-0.06746146082878113,
-0.08968918770551682,
-0.07963176816701889,
0.23124255239963531,
-0.08268369734287262,
0.06398651748895645,
0.29144901037216187,
0.2242591679096222,
0.13219574093818665,
0.05987716093659401,
0.27598142623901367,
0.0057379514910280704,
-0.46567654609680176,
0.027942780405282974,
0.41669222712516785,
-0.07972192019224167,
0.0029163311701267958,
-0.3966142237186432,
-0.0038866051472723484,
-0.1403137594461441,
0.2057415246963501,
-0.1246994212269783,
-0.3338139057159424,
0.5012155175209045,
0.09291654080152512,
-0.14959865808486938,
-0.2275860458612442,
0.12669208645820618,
0.5161341428756714,
-0.035095371305942535,
-0.04846221208572388,
0.052022967487573624,
0.16546906530857086,
-0.12800754606723785,
0.03769982233643532,
0.25175711512565613,
0.110866978764534,
0.029335685074329376,
0.0011412217281758785,
0.024303121492266655,
0.14044035971164703,
0.1221235990524292,
0.10343042761087418,
0.019177811220288277,
0.08414570987224579,
-0.016204580664634705,
0.2771758437156677,
0.10079753398895264,
-0.061256252229213715,
0.07313242554664612,
-0.12367559969425201,
0.04407620057463646,
-0.5888593792915344,
0.2657963037490845,
0.3155157268047333,
-0.023779546841979027,
-0.05252768471837044,
0.17175747454166412,
-0.3293575048446655,
-0.18782657384872437,
0.5251405835151672,
0.2926931381225586,
-0.15609630942344666,
-0.1533709168434143,
0.035338155925273895,
-0.029740452766418457,
0.3186293840408325,
0.35710588097572327,
0.08333612978458405,
-0.42110368609428406,
-0.18525874614715576,
-0.7274482250213623,
0.11188368499279022,
-0.1998966634273529,
-0.11876030266284943,
-0.2600691020488739,
0.04048542305827141,
0.2637617290019989,
0.2332361936569214,
0.06438446044921875,
0.43237563967704773,
0.141852468252182,
0.155785471200943,
-0.43412336707115173,
-0.1574392020702362,
0.08547874540090561,
0.18689297139644623,
0.05970935523509979,
-0.11151757836341858,
0.024231454357504845,
0.35462549328804016,
-0.18669790029525757,
-0.0636829063296318,
0.019787950441241264,
0.13367408514022827,
-0.0402185320854187,
0.23977096378803253,
0.03683681786060333,
0.6354691982269287,
-0.16606871783733368,
0.09476187825202942,
0.11244634538888931,
-0.05096951872110367,
-0.5395124554634094,
0.3559368848800659,
-0.15957602858543396,
0.01929345540702343,
-0.6011698246002197,
0.6696314215660095,
0.12462140619754791,
-0.2897532284259796,
-0.08932236582040787,
0.12198415398597717,
-0.05398513749241829,
-0.1360836774110794,
0.28729933500289917,
0.06956455111503601,
0.2895840108394623,
0.6231245398521423,
0.04480636119842529,
0.08362899720668793,
-0.18011678755283356,
-0.09812988340854645,
0.23890705406665802,
0.10177021473646164,
-0.43847382068634033,
-0.09930111467838287,
-0.14744070172309875,
0.020528171211481094,
-0.08745360374450684,
-0.5327375531196594,
-0.036130640655756,
0.3234040141105652,
-0.17692336440086365,
0.3889913856983185,
0.5019958019256592,
0.01669052056968212,
0.06571757048368454,
-0.2933850586414337,
-0.06997055560350418,
-0.07178251445293427,
-0.0772053599357605,
-0.12362546473741531,
-0.26133376359939575
] |
https://github.com/huggingface/datasets/issues/197 | Scientific Papers only downloading Pubmed | Hi so there are indeed two configurations in the datasets as you can see [here](https://github.com/huggingface/nlp/blob/master/datasets/scientific_papers/scientific_papers.py#L81-L82).
You can load either one with:
```python
dataset = nlp.load_dataset('scientific_papers', 'pubmed')
dataset = nlp.load_dataset('scientific_papers', 'arxiv')
```
This issues is actually related to a similar user-experience issue with GLUE. When several configurations are available and the first configuration is loaded by default (see issue #152 and #130), it seems to be unexpected for users.
I think we should maybe raise a (very explicit) error when there are several configurations available and the user doesn't specify one.
What do you think @lhoestq @patrickvonplaten @mariamabarham ? | Hi!
I have been playing around with this module, and I am a bit confused about the `scientific_papers` dataset. I thought that it would download two separate datasets, arxiv and pubmed. But when I run the following:
```
dataset = nlp.load_dataset('scientific_papers', data_dir='.', cache_dir='.')
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 5.05k/5.05k [00:00<00:00, 2.66MB/s]
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 4.90k/4.90k [00:00<00:00, 2.42MB/s]
Downloading and preparing dataset scientific_papers/pubmed (download: 4.20 GiB, generated: 2.33 GiB, total: 6.53 GiB) to ./scientific_papers/pubmed/1.1.1...
Downloading: 3.62GB [00:40, 90.5MB/s]
Downloading: 880MB [00:08, 101MB/s]
Dataset scientific_papers downloaded and prepared to ./scientific_papers/pubmed/1.1.1. Subsequent calls will reuse this data.
```
only a pubmed folder is created. There doesn't seem to be something for arxiv. Are these two datasets merged? Or have I misunderstood something?
Thanks! | 98 | Scientific Papers only downloading Pubmed
Hi!
I have been playing around with this module, and I am a bit confused about the `scientific_papers` dataset. I thought that it would download two separate datasets, arxiv and pubmed. But when I run the following:
```
dataset = nlp.load_dataset('scientific_papers', data_dir='.', cache_dir='.')
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 5.05k/5.05k [00:00<00:00, 2.66MB/s]
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 4.90k/4.90k [00:00<00:00, 2.42MB/s]
Downloading and preparing dataset scientific_papers/pubmed (download: 4.20 GiB, generated: 2.33 GiB, total: 6.53 GiB) to ./scientific_papers/pubmed/1.1.1...
Downloading: 3.62GB [00:40, 90.5MB/s]
Downloading: 880MB [00:08, 101MB/s]
Dataset scientific_papers downloaded and prepared to ./scientific_papers/pubmed/1.1.1. Subsequent calls will reuse this data.
```
only a pubmed folder is created. There doesn't seem to be something for arxiv. Are these two datasets merged? Or have I misunderstood something?
Thanks!
Hi so there are indeed two configurations in the datasets as you can see [here](https://github.com/huggingface/nlp/blob/master/datasets/scientific_papers/scientific_papers.py#L81-L82).
You can load either one with:
```python
dataset = nlp.load_dataset('scientific_papers', 'pubmed')
dataset = nlp.load_dataset('scientific_papers', 'arxiv')
```
This issues is actually related to a similar user-experience issue with GLUE. When several configurations are available and the first configuration is loaded by default (see issue #152 and #130), it seems to be unexpected for users.
I think we should maybe raise a (very explicit) error when there are several configurations available and the user doesn't specify one.
What do you think @lhoestq @patrickvonplaten @mariamabarham ? | [
0.3410275876522064,
-0.05078306421637535,
0.04983749985694885,
0.20578421652317047,
-0.012493719346821308,
-0.09158283472061157,
0.1314340978860855,
0.24781416356563568,
0.07514096051454544,
-0.2193240374326706,
-0.16563859581947327,
0.10058081895112991,
0.06382755190134048,
-0.29008451104164124,
0.24017539620399475,
0.07839687913656235,
0.09766237437725067,
0.11659561842679977,
0.14824886620044708,
-0.19698093831539154,
-0.11032894998788834,
0.4662143290042877,
-0.11777038872241974,
-0.1241876482963562,
0.026482487097382545,
0.05782882124185562,
-0.25497695803642273,
0.22920358180999756,
-0.17581495642662048,
-0.269314169883728,
0.22969616949558258,
0.46074461936950684,
0.010647257789969444,
0.24424856901168823,
-0.00012602117203641683,
-0.026637371629476547,
0.4085165560245514,
0.037491992115974426,
-0.07534440606832504,
-0.12848317623138428,
0.1525416225194931,
-0.31279516220092773,
0.3978445529937744,
-0.1065416932106018,
0.04228195175528526,
-0.39309123158454895,
0.17608559131622314,
-0.04638897255063057,
0.17987219989299774,
0.0012881001457571983,
0.08718008548021317,
0.12423481047153473,
0.06380835920572281,
0.06727642565965652,
0.49336209893226624,
0.01011543720960617,
0.06612035632133484,
0.4198920726776123,
0.2697267532348633,
-0.16339482367038727,
0.1365492045879364,
0.24459674954414368,
-0.11495199799537659,
0.15639469027519226,
0.1796971708536148,
0.4194621741771698,
0.05964412912726402,
-0.46717801690101624,
-0.20219352841377258,
0.3455395996570587,
0.014853717759251595,
0.013018778525292873,
-0.046098630875349045,
-0.46777966618537903,
-0.012200591154396534,
0.0002345803804928437,
0.20772826671600342,
0.4563731849193573,
-0.16081488132476807,
-0.06489183753728867,
0.08118154853582382,
-0.25007063150405884,
-0.060462597757577896,
0.5617241859436035,
0.16432136297225952,
0.048341624438762665,
-0.19733865559101105,
0.3637365996837616,
0.4003928005695343,
0.1685730516910553,
-0.2624979317188263,
-0.287566214799881,
0.19754008948802948,
0.1875084936618805,
-0.30293360352516174,
0.008081098087131977,
0.08924124389886856,
-0.06685415655374527,
0.24016189575195312,
0.34288355708122253,
0.08698314428329468,
-0.04315409064292908,
0.19389522075653076,
0.12176142632961273,
0.5296932458877563,
-0.06093272566795349,
-0.020973946899175644,
0.1862226128578186,
0.3687579333782196,
-0.016591539606451988,
0.08867759257555008,
0.09830314666032791,
0.0916954055428505,
-0.02542254701256752,
-0.23397693037986755,
-0.5981557369232178,
0.2879771292209625,
-0.2756764590740204,
0.24873140454292297,
-0.023608239367604256,
-0.01119091734290123,
-0.05599595978856087,
-0.2106601893901825,
0.004625622648745775,
0.018987420946359634,
0.22263126075267792,
0.11903005093336105,
0.2808915376663208,
-0.20559199154376984,
0.2087717205286026,
-0.07826881855726242,
0.005981168709695339,
-0.3656753897666931,
0.039704520255327225,
0.2711537480354309,
-0.2781742513179779,
0.1672440469264984,
0.09166543930768967,
-0.11322520673274994,
-0.18400992453098297,
0.17918287217617035,
-0.1315312534570694,
0.0667218267917633,
0.3698318600654602,
0.2778124511241913,
0.5080723166465759,
-0.0019687083549797535,
-0.2545323967933655,
-0.27548766136169434,
-0.06114421784877777,
-0.2797977328300476,
-0.16831760108470917,
-0.18681000173091888,
0.0298581812530756,
-0.3902367651462555,
0.16661040484905243,
0.00011825386172858998,
0.28824153542518616,
0.1552383303642273,
-0.17051126062870026,
-0.11550717800855637,
-0.0045685237273573875,
-0.08512412011623383,
-0.3703429102897644,
0.1219870001077652,
0.3437544107437134,
0.19060131907463074,
-0.10569165647029877,
-0.1270906925201416,
-0.10054012387990952,
0.08209928870201111,
0.3111582398414612,
-0.2761954069137573,
0.14208722114562988,
-0.241653710603714,
0.23108156025409698,
0.590416669845581,
-0.2710135281085968,
-0.45266878604888916,
0.3115585148334503,
-0.024965541437268257,
0.07489562779664993,
0.15223008394241333,
0.2749255299568176,
-0.1387358158826828,
-0.02256168983876705,
0.16591571271419525,
0.3668285310268402,
0.09084150940179825,
-0.14627526700496674,
-0.3049764633178711,
-0.19426599144935608,
0.302320271730423,
-0.09074021130800247,
0.1159532368183136,
0.0059385658241808414,
-0.008975031785666943,
0.06970755010843277,
0.3066049814224243,
0.229495570063591,
0.1860748827457428,
0.24630200862884521,
-0.07493343949317932,
-0.009010808542370796,
0.07086269557476044,
-0.2000003606081009,
-0.33421558141708374,
0.05639487877488136,
-0.355522096157074,
0.24316798150539398,
0.2622116804122925,
-0.04236579313874245,
-0.23279714584350586,
-0.49318912625312805,
-0.17978273332118988,
-0.2683064639568329,
0.004727189429104328,
0.21896886825561523,
0.12241169065237045,
0.16072703897953033,
-0.2678840756416321,
0.17435498535633087,
0.009839650243520737,
0.08805974572896957,
-0.8079341650009155,
0.3179456293582916,
-0.017845602706074715,
-0.07045108824968338,
0.06313509494066238,
0.1433010846376419,
0.0012620689813047647,
-0.16912350058555603,
0.32444778084754944,
0.43658125400543213,
-0.13749364018440247,
0.22820690274238586,
0.22558556497097015,
0.05751818045973778,
0.25377923250198364,
-0.1108492836356163,
0.15133513510227203,
-0.12579110264778137,
0.11191105842590332,
-0.23113113641738892,
-0.30425330996513367,
0.11682773381471634,
-0.07708699256181717,
0.3747083842754364,
0.1469537913799286,
-0.01149560883641243,
0.010348991490900517,
-0.23012582957744598,
-0.47462499141693115,
-0.2160554677248001,
0.20148776471614838,
0.2280125468969345,
-0.11197280138731003,
0.1459309309720993,
-0.29982665181159973,
0.07807818055152893,
0.07013934850692749,
0.017231879755854607,
-0.020467661321163177,
0.1736775040626526,
-0.27142319083213806,
-0.2440957874059677,
-0.18221400678157806,
0.5162524580955505,
0.8718114495277405,
0.1978529840707779,
0.32297390699386597,
0.10880778729915619,
-0.17633940279483795,
-0.19697558879852295,
0.08697959780693054,
0.03373314440250397,
-0.12805910408496857,
0.21403977274894714,
0.17132674157619476,
-0.008642409928143024,
-0.42317691445350647,
0.38059061765670776,
0.16046485304832458,
0.02128945104777813,
-0.37637507915496826,
-0.19031348824501038,
-0.40123823285102844,
-0.3012849986553192,
-0.6075857877731323,
-0.1843884438276291,
-0.3624565303325653,
-0.3466339111328125,
-0.06475497037172318,
0.13994979858398438,
-0.050487276166677475,
0.024638913571834564,
-0.20654024183750153,
0.1555749773979187,
-0.239600270986557,
0.06841805577278137,
0.1411573439836502,
0.12482736259698868,
-0.3013817369937897,
-0.0807427242398262,
0.03651624917984009,
0.3887549340724945,
0.5186214447021484,
0.054689545184373856,
-0.20739388465881348,
-0.08984798938035965,
-0.45796722173690796,
0.2533678412437439,
-0.20390884578227997,
0.4136424660682678,
0.28525587916374207,
0.09833773970603943,
0.3634146749973297,
-0.08333981037139893,
0.2817312180995941,
-0.14543601870536804,
0.03042098879814148,
0.008215513080358505,
0.08342500776052475,
-0.02024722658097744,
-0.2850772440433502,
-0.569351077079773,
-0.30609121918678284,
-0.2529951333999634,
-0.1100711077451706,
-0.05502288416028023,
0.12144801765680313,
0.24505040049552917,
-0.08112381398677826,
0.1239975243806839,
-0.464856892824173,
-0.04552529379725456,
-0.36400437355041504,
-0.08933532238006592,
0.2416916936635971,
-0.2270822525024414,
-0.40880250930786133,
-0.043363090604543686,
-0.024774005636572838,
-0.09826160222291946,
0.15945154428482056,
-0.3808136284351349,
-0.41890573501586914,
-0.21503759920597076,
-0.50697922706604,
0.17532074451446533,
0.41701334714889526,
0.3016418516635895,
-0.33650583028793335,
-0.10329844802618027,
-0.08495737612247467,
-0.16373059153556824,
0.18865858018398285,
0.21752363443374634,
0.36106887459754944,
0.20806339383125305,
-0.09732377529144287,
-0.015406563878059387,
0.5112139582633972,
0.4535945653915405,
0.18884378671646118,
0.2588811218738556,
-0.030591106042265892,
0.6296037435531616,
0.08015425503253937,
-0.35266467928886414,
0.0025887300726026297,
-0.023501744493842125,
0.2995643615722656,
0.32156434655189514,
0.24641655385494232,
-0.17453691363334656,
-0.09905512630939484,
0.1481449455022812,
-0.35031548142433167,
-0.3976813554763794,
0.220642551779747,
-0.11810324341058731,
0.03348483517765999,
0.21164017915725708,
-0.37359631061553955,
0.05672029033303261,
-0.05050119385123253,
-0.35609951615333557,
0.39024823904037476,
-0.13153022527694702,
0.12844467163085938,
-0.5994893312454224,
0.11785123497247696,
-0.43639689683914185,
0.13917535543441772,
-0.12238940596580505,
0.16424332559108734,
0.1163775622844696,
-0.06740368902683258,
0.39220017194747925,
0.028027435764670372,
0.5079413652420044,
-0.13392317295074463,
-0.21793530881404877,
0.18318815529346466,
-0.09627906233072281,
-0.8417407274246216,
-0.16880550980567932,
-0.0777038112282753,
-0.1152687817811966,
0.2761748731136322,
0.302824467420578,
-0.5176627039909363,
-0.25081342458724976,
0.20353595912456512,
0.1481359601020813,
-0.17218631505966187,
-0.24935102462768555,
-0.26382681727409363,
-0.44855770468711853,
-0.31027671694755554,
-0.39140981435775757,
-0.12274365872144699,
-0.05234192684292793,
-0.11758974194526672,
-0.12879563868045807,
0.15744562447071075,
-0.1702955812215805,
0.14247334003448486,
-0.160899817943573,
0.26104751229286194,
-0.02096606232225895,
0.03182672709226608,
0.4652025103569031,
0.1336738020181656,
-0.5750660300254822,
0.5631842017173767,
-0.1878594309091568,
0.2896808683872223,
0.13970738649368286,
-0.17257258296012878,
0.36342331767082214,
0.5340468287467957,
-0.06888512521982193,
0.06709103286266327,
0.03953137993812561,
-0.07136215269565582,
-0.11491364985704422,
0.25564417243003845,
0.5111371874809265,
-0.34914904832839966,
-0.1387997269630432,
-0.33767688274383545,
0.5596755743026733,
0.0816647931933403,
-0.40842482447624207,
0.19925887882709503,
0.2666527330875397,
-0.2441544532775879,
0.28216037154197693,
-0.3538728654384613,
1.0832157135009766,
0.04487157613039017,
0.31874603033065796,
0.08139228075742722,
-0.2079668790102005,
0.8912694454193115,
-0.019847044721245766,
0.02509402669966221,
-0.2386830598115921,
-0.040029287338256836,
0.016051165759563446,
-0.18522730469703674,
0.05906468257308006,
0.08315709978342056,
-0.026411214843392372,
0.2931695282459259,
0.2207300364971161,
0.09865697473287582,
-0.10229551047086716,
0.5956615805625916,
0.04097234085202217,
-0.08230273425579071,
-0.3292582333087921,
0.04090878739953041,
-0.013093141838908195,
0.3151538074016571,
0.06848553568124771,
-0.14593514800071716,
-0.2229432761669159,
-0.4063076376914978,
-0.267161101102829,
0.04904688149690628,
0.05897744372487068,
0.1323080211877823,
0.10286843776702881,
-0.11787678301334381,
-0.29500025510787964,
0.029080664739012718,
-0.04239339381456375,
0.0197905246168375,
-0.25581473112106323,
-0.08757369220256805,
0.0039717354811728,
-0.30738794803619385,
-0.13085705041885376,
-0.2202378660440445,
0.2706197202205658,
-0.12889164686203003,
-0.182833731174469,
-0.2363050878047943,
0.040532924234867096,
-0.1591941863298416,
-0.46211016178131104,
0.31663963198661804,
0.2644227147102356,
-0.08291423320770264,
-0.296355277299881,
0.36175721883773804,
0.1117045134305954,
-0.002363532315939665,
0.02936004102230072,
0.35258588194847107,
0.07839546352624893,
0.36199304461479187,
0.13534189760684967,
-0.19166676700115204,
-0.06823715567588806,
0.3341461718082428,
0.5289815068244934,
-0.09188313782215118,
0.2554856240749359,
-0.11541934311389923,
0.05190782994031906,
-0.05099848285317421,
-0.16937880218029022,
-0.08383090049028397,
-0.33998486399650574,
0.12292981892824173,
-0.012368220835924149,
0.0692097395658493,
0.13143163919448853,
0.043052323162555695,
0.09093374013900757,
-0.21702678501605988,
-0.10895229130983353,
-0.4528340995311737,
0.06527508050203323,
0.2933409810066223,
-0.1723700612783432,
0.4097401797771454,
0.04056276008486748,
-0.12469819188117981,
0.25025734305381775,
0.31264063715934753,
-0.16058339178562164,
0.2575589716434479,
0.06299566477537155,
0.24464063346385956,
0.6299234628677368,
0.01803257316350937,
0.08861207962036133,
-0.11040453612804413,
-0.08225184679031372,
-0.057103194296360016,
-0.177371546626091,
-0.09637568891048431,
-0.2691379487514496,
0.2264515906572342,
0.14458264410495758,
0.0587296225130558,
0.09794025123119354,
-0.23562240600585938,
0.03194234147667885,
0.008571567945182323,
0.20746628940105438,
-0.06657211482524872,
-0.03942136839032173,
-0.025018131360411644,
-0.16160526871681213,
0.03848303481936455,
0.11174486577510834,
0.3407118022441864,
-0.36419451236724854,
-0.042735327035188675,
0.34211671352386475,
0.008133234456181526,
-0.2114960104227066,
-0.0978815108537674,
-0.2852175235748291,
-0.030537322163581848,
0.10420649498701096,
-0.04821806401014328,
0.11100742220878601,
0.00643351674079895,
-0.029975824058055878,
-0.1822148561477661,
0.3628310263156891,
0.5864513516426086,
-0.2662340998649597,
0.087650366127491,
-0.05240936949849129,
0.02447769045829773,
-0.17970028519630432,
-0.03848183900117874,
0.2230919450521469,
0.26938551664352417,
-0.08858197182416916,
0.26846641302108765,
0.32481205463409424,
0.025377919897437096,
-0.1227574422955513,
-0.019717764109373093,
0.6393304467201233,
-0.19335374236106873,
0.08591988682746887,
-0.2401425540447235,
-0.04187896102666855,
-0.11093265563249588,
-0.017788173630833626,
-0.03344742953777313,
0.007564181927591562,
-0.09867077320814133,
0.20377254486083984,
0.2015051394701004,
-0.035435013473033905,
0.052560098469257355,
0.23083533346652985,
-0.18457351624965668,
0.016510071232914925,
0.7022255063056946,
0.2064048945903778,
0.30672305822372437,
0.14233793318271637,
0.7357043027877808,
-0.11739101260900497,
-0.050035543739795685,
-0.13992109894752502,
0.5564054250717163,
0.2685464322566986,
-0.23760439455509186,
0.06799263507127762,
-0.11369511485099792,
-0.14237579703330994,
0.04823797568678856,
-0.044042449444532394,
-0.328214555978775,
0.27146121859550476,
-0.02766067534685135,
-0.19461390376091003,
-0.7354897856712341,
0.16255070269107819,
0.07861088961362839,
0.10736674070358276,
-0.15201421082019806,
0.18625995516777039,
-0.07005401700735092,
-0.0500728115439415,
0.2191653996706009,
0.5182142853736877,
0.29087725281715393,
0.3593863844871521,
-0.006482074502855539,
-0.16204600036144257,
0.24868369102478027,
0.17708556354045868,
-0.2095000445842743,
0.15459488332271576,
0.34004920721054077,
0.07801402360200882,
0.32010093331336975,
0.0420922227203846,
-0.10348379611968994,
-0.06722740083932877,
0.07740665972232819,
0.029380615800619125,
-0.32071951031684875,
0.5537850856781006,
-0.28373441100120544,
0.08010026067495346,
-0.01782439462840557,
0.06254695355892181,
-0.616965115070343,
-0.19064947962760925,
0.2139841467142105,
0.005209835711866617,
0.16936847567558289,
-0.46065622568130493,
0.014075754210352898,
0.17706634104251862,
0.5300930738449097,
0.0472886860370636,
0.06634998321533203,
-0.15457844734191895,
-0.244127556681633,
-0.789830207824707,
0.13781431317329407,
-0.22904323041439056,
0.14415177702903748,
-0.04818122833967209,
0.39347124099731445,
0.03287484869360924,
0.31124669313430786,
-0.022219939157366753,
0.130643829703331,
-0.5399712324142456,
-0.13637740910053253,
-0.17598295211791992,
-0.04879850521683693,
-0.21684108674526215,
-0.058267902582883835,
0.005119413137435913,
-0.11321878433227539,
0.10097906738519669,
-0.2995997369289398,
-0.07709407061338425,
0.09741416573524475,
0.07090751826763153,
0.07483290135860443,
0.05449523776769638,
0.4069506525993347,
0.23451301455497742,
0.4126705229282379,
-0.0002771328727249056,
-0.2844560146331787,
-0.5316900014877319,
0.045554764568805695,
-0.4169573187828064,
0.09936445951461792,
0.02154848910868168,
0.20746056735515594,
-0.4415889382362366,
0.1541765332221985,
-0.11783277243375778,
-0.07033431529998779,
0.13117718696594238,
0.0565231628715992,
0.036482810974121094,
-0.008407062850892544,
0.14452411234378815,
0.1382405012845993,
0.23347680270671844,
0.41835594177246094,
-0.225312739610672,
0.13117705285549164,
-0.19558179378509521,
-0.27393946051597595,
0.2897917628288269,
-0.36235687136650085,
-0.13488726317882538,
0.12069623917341232,
0.24682049453258514,
0.07023007422685623,
0.06666920334100723,
-0.6980177164077759,
-0.263947993516922,
0.3107894957065582,
-0.0424811951816082,
-0.18357011675834656,
0.2500549852848053,
-0.13164988160133362,
-0.47837772965431213,
-0.022704048082232475,
0.04410466551780701,
0.15658123791217804,
-0.38131535053253174,
0.01163423154503107,
-0.23016810417175293
] |
https://github.com/huggingface/datasets/issues/197 | Scientific Papers only downloading Pubmed | Now if you don't specify which part you want, it raises an error:
```
ValueError: Config name is missing.
Please pick one among the available configs: ['pubmed', 'arxiv']
Example of usage:
`load_dataset('scientific_papers', 'pubmed')`
``` | Hi!
I have been playing around with this module, and I am a bit confused about the `scientific_papers` dataset. I thought that it would download two separate datasets, arxiv and pubmed. But when I run the following:
```
dataset = nlp.load_dataset('scientific_papers', data_dir='.', cache_dir='.')
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 5.05k/5.05k [00:00<00:00, 2.66MB/s]
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 4.90k/4.90k [00:00<00:00, 2.42MB/s]
Downloading and preparing dataset scientific_papers/pubmed (download: 4.20 GiB, generated: 2.33 GiB, total: 6.53 GiB) to ./scientific_papers/pubmed/1.1.1...
Downloading: 3.62GB [00:40, 90.5MB/s]
Downloading: 880MB [00:08, 101MB/s]
Dataset scientific_papers downloaded and prepared to ./scientific_papers/pubmed/1.1.1. Subsequent calls will reuse this data.
```
only a pubmed folder is created. There doesn't seem to be something for arxiv. Are these two datasets merged? Or have I misunderstood something?
Thanks! | 34 | Scientific Papers only downloading Pubmed
Hi!
I have been playing around with this module, and I am a bit confused about the `scientific_papers` dataset. I thought that it would download two separate datasets, arxiv and pubmed. But when I run the following:
```
dataset = nlp.load_dataset('scientific_papers', data_dir='.', cache_dir='.')
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 5.05k/5.05k [00:00<00:00, 2.66MB/s]
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 4.90k/4.90k [00:00<00:00, 2.42MB/s]
Downloading and preparing dataset scientific_papers/pubmed (download: 4.20 GiB, generated: 2.33 GiB, total: 6.53 GiB) to ./scientific_papers/pubmed/1.1.1...
Downloading: 3.62GB [00:40, 90.5MB/s]
Downloading: 880MB [00:08, 101MB/s]
Dataset scientific_papers downloaded and prepared to ./scientific_papers/pubmed/1.1.1. Subsequent calls will reuse this data.
```
only a pubmed folder is created. There doesn't seem to be something for arxiv. Are these two datasets merged? Or have I misunderstood something?
Thanks!
Now if you don't specify which part you want, it raises an error:
```
ValueError: Config name is missing.
Please pick one among the available configs: ['pubmed', 'arxiv']
Example of usage:
`load_dataset('scientific_papers', 'pubmed')`
``` | [
0.33375269174575806,
0.15182602405548096,
0.0403822623193264,
0.12209053337574005,
-0.011581690050661564,
0.0701768547296524,
0.10876773297786713,
0.3869028091430664,
-0.11695440858602524,
-0.22115777432918549,
-0.1246669590473175,
0.33596864342689514,
0.04204653576016426,
-0.32191410660743713,
0.33534082770347595,
0.059789594262838364,
0.17052827775478363,
0.11987831443548203,
0.24696096777915955,
-0.32216981053352356,
-0.15091967582702637,
0.36268073320388794,
-0.20078347623348236,
-0.07502947002649307,
0.17173191905021667,
0.1704220175743103,
-0.13634683191776276,
0.23558485507965088,
-0.2803621292114258,
-0.28337788581848145,
0.3049049377441406,
0.41182878613471985,
0.12482397258281708,
0.3285548985004425,
-0.0001224009320139885,
-0.051075007766485214,
0.399665892124176,
-0.11453292518854141,
-0.12407606840133667,
-0.24390456080436707,
0.025619829073548317,
-0.2772785723209381,
0.36111268401145935,
-0.1576250046491623,
0.10323184728622437,
-0.5018041729927063,
0.22668394446372986,
-0.10192909091711044,
0.002705290215089917,
0.2615562975406647,
0.12145330756902695,
-0.08232848346233368,
0.13635104894638062,
0.003647337667644024,
0.3264041543006897,
0.018630648031830788,
0.09062385559082031,
0.30791038274765015,
0.17882320284843445,
0.08364755660295486,
0.19623710215091705,
0.21780815720558167,
-0.12764742970466614,
0.0741182342171669,
0.33376508951187134,
0.37732863426208496,
0.0491853691637516,
-0.45332983136177063,
-0.09537716954946518,
0.25129467248916626,
0.4695167541503906,
-0.08259274065494537,
0.03704746067523956,
-0.20686979591846466,
-0.040106069296598434,
-0.08870575577020645,
0.10811006277799606,
0.39001035690307617,
-0.22332635521888733,
-0.0482567623257637,
0.021009119227528572,
-0.38639724254608154,
-0.19638125598430634,
0.5864763259887695,
0.1692328006029129,
0.15303434431552887,
-0.08709662407636642,
0.363867849111557,
0.21774160861968994,
0.1375075727701187,
0.033936284482479095,
-0.3225848972797394,
0.2554103136062622,
0.2819865942001343,
-0.2922055125236511,
-0.007908659987151623,
-0.03503989800810814,
-0.20915596187114716,
0.18896634876728058,
0.3261251151561737,
0.07502642273902893,
-0.0670475885272026,
0.20057806372642517,
0.12096546590328217,
0.4643375873565674,
-0.15208926796913147,
0.08678413927555084,
0.3539922833442688,
0.21561063826084137,
-0.1866047978401184,
0.03402045741677284,
0.018245108425617218,
-0.07721942663192749,
0.07174455374479294,
-0.22967815399169922,
-0.6142796874046326,
0.1409287303686142,
-0.4055894911289215,
0.4478227496147156,
-0.025239208713173866,
0.21384789049625397,
-0.10629180818796158,
-0.23445355892181396,
0.08172966539859772,
0.1051739901304245,
0.2092120200395584,
0.08533553779125214,
0.17645752429962158,
-0.11764824390411377,
0.09517494589090347,
-0.08684959262609482,
0.016504548490047455,
-0.3610500991344452,
-0.0581570640206337,
0.23637673258781433,
-0.013213790021836758,
0.261093407869339,
-0.09314685314893723,
0.07390709966421127,
-0.09015914797782898,
0.24405497312545776,
-0.0596812404692173,
0.14490318298339844,
0.496426522731781,
0.3115924596786499,
0.5195350646972656,
-0.00015620427438989282,
-0.1992076337337494,
-0.27722230553627014,
0.1592061072587967,
-0.3895837068557739,
-0.12449304014444351,
-0.11835875362157822,
0.0739862471818924,
-0.3111491799354553,
-0.06145278364419937,
0.10784744471311569,
0.2107422649860382,
0.18148605525493622,
-0.35827383399009705,
-0.10828685760498047,
0.0256291963160038,
0.040218666195869446,
-0.3753199279308319,
0.17049895226955414,
0.13123658299446106,
0.06589129567146301,
-0.0389045812189579,
-0.28599441051483154,
-0.06429087370634079,
0.22669680416584015,
0.07826316356658936,
-0.3078140616416931,
0.1558767408132553,
-0.1210063174366951,
0.0539570152759552,
0.8645715713500977,
-0.2199849784374237,
-0.40715402364730835,
0.2794370949268341,
0.05443645641207695,
-0.1435593068599701,
0.09176114946603775,
0.3109303116798401,
-0.2846706807613373,
0.05149829015135765,
0.09131016582250595,
0.28850024938583374,
-0.012590521946549416,
-0.2461201250553131,
-0.14480462670326233,
-0.11279961466789246,
0.308638334274292,
-0.07593276351690292,
0.2943565547466278,
0.1680898219347,
-0.015603529289364815,
0.14979968965053558,
0.4100162088871002,
0.18755614757537842,
0.2137865126132965,
0.22659888863563538,
-0.11479020863771439,
-0.10925071686506271,
0.20860159397125244,
-0.17600058019161224,
-0.16421101987361908,
0.06642244756221771,
-0.4373753070831299,
0.2642482817173004,
0.32023951411247253,
0.06156071275472641,
-0.2903924584388733,
-0.5201041102409363,
-0.06402678042650223,
-0.3106153607368469,
-0.012994172982871532,
0.29097938537597656,
-0.0014562280848622322,
0.07865040749311447,
-0.3556837737560272,
0.04744693264365196,
-0.12707865238189697,
0.014778337441384792,
-0.7680269479751587,
0.1568286269903183,
-0.0025856310967355967,
-0.014122090302407742,
0.0891619399189949,
-0.030355697497725487,
-0.0414162203669548,
-0.018181832507252693,
0.2261609584093094,
0.41557732224464417,
-0.031880225986242294,
0.3567318320274353,
0.3559609651565552,
-0.10024514049291611,
0.1163012832403183,
-0.2353430539369583,
0.15720075368881226,
-0.10833925008773804,
0.2621350586414337,
-0.20873011648654938,
-0.34462618827819824,
0.1056322231888771,
-0.15303196012973785,
0.3154359459877014,
0.15342335402965546,
-0.002796567277982831,
0.06230355426669121,
-0.12727266550064087,
-0.40658992528915405,
-0.14812879264354706,
0.17097918689250946,
0.2773890197277069,
-0.3150269687175751,
0.09033016115427017,
-0.26422277092933655,
0.03734680265188217,
0.12562455236911774,
0.006544035859405994,
-0.17453725636005402,
0.18298488855361938,
-0.311465859413147,
-0.21895015239715576,
-0.13686028122901917,
0.46691983938217163,
0.9032635688781738,
0.25674036145210266,
0.38866618275642395,
0.09151812642812729,
-0.05875339359045029,
-0.16813647747039795,
0.1890704333782196,
0.1316784769296646,
0.012559083290398121,
0.16735802590847015,
-0.06914068013429642,
-0.04874551668763161,
-0.4017602801322937,
0.27937430143356323,
0.16855388879776,
0.06223781034350395,
-0.30279800295829773,
-0.03771255910396576,
-0.37835732102394104,
-0.19744883477687836,
-0.511610746383667,
-0.25710561871528625,
-0.2551214396953583,
-0.3293745517730713,
-0.16789761185646057,
0.010061752051115036,
0.05495456978678703,
0.01970987394452095,
-0.531943678855896,
0.045221224427223206,
-0.1329425871372223,
-0.15076598525047302,
0.122951939702034,
-0.02294759266078472,
-0.24956677854061127,
0.007366005796939135,
-0.06586308777332306,
0.3898339867591858,
0.4878615438938141,
-0.07025731354951859,
-0.042926739901304245,
0.052867595106363297,
-0.4029850959777832,
0.2302953153848648,
-0.2439562976360321,
0.23640774190425873,
0.241521418094635,
0.129068061709404,
0.2934620976448059,
-0.0029637583065778017,
0.15736135840415955,
-0.18025967478752136,
0.02490473911166191,
-0.04032791033387184,
0.10109694302082062,
-0.10887978971004486,
-0.275493860244751,
-0.8172603845596313,
-0.3088199496269226,
-0.18090619146823883,
-0.23882023990154266,
0.18941572308540344,
0.16927319765090942,
0.3574637174606323,
0.020866474136710167,
0.12806415557861328,
-0.32717832922935486,
0.05769855156540871,
-0.3687760531902313,
-0.15246835350990295,
0.4007764160633087,
-0.2736346125602722,
-0.379485160112381,
0.10961031913757324,
0.14097337424755096,
0.038805894553661346,
0.14969463646411896,
-0.27083054184913635,
-0.05013080686330795,
-0.007899540476500988,
-0.5291986465454102,
0.15095311403274536,
0.33623066544532776,
0.2992245852947235,
-0.33691930770874023,
-0.11374466121196747,
-0.139827698469162,
-0.06552594155073166,
0.11963124573230743,
0.24273723363876343,
0.5703092217445374,
0.13668431341648102,
-0.061146173626184464,
-0.18793024122714996,
0.4702356159687042,
0.33278051018714905,
0.21936634182929993,
0.13947275280952454,
-0.08077400922775269,
0.5153941512107849,
0.07098858803510666,
-0.25418820977211,
0.17766205966472626,
0.0340990275144577,
0.11521948873996735,
0.4011802673339844,
0.14756087958812714,
-0.31791752576828003,
-0.22711944580078125,
0.029213692992925644,
-0.36350512504577637,
-0.291766494512558,
0.22638468444347382,
-0.16411012411117554,
0.1019238606095314,
0.26066893339157104,
-0.4112977981567383,
-0.10925701260566711,
-0.0217902809381485,
-0.42039135098457336,
0.43069228529930115,
-0.15378323197364807,
0.153130903840065,
-0.654884397983551,
0.16735504567623138,
-0.44770392775535583,
0.11611570417881012,
-0.2242058962583542,
0.1797572821378708,
0.013182658702135086,
-0.10940807312726974,
0.20083549618721008,
0.07203856110572815,
0.3785324990749359,
-0.09239040315151215,
-0.2777597904205322,
0.16358697414398193,
0.11103236675262451,
-0.6928820610046387,
-0.054513268172740936,
0.0354834608733654,
0.06715422868728638,
0.07046312838792801,
0.1560639590024948,
-0.32216596603393555,
-0.21822907030582428,
0.28061333298683167,
0.12941697239875793,
-0.20678293704986572,
-0.2330891340970993,
-0.3231196403503418,
-0.5719004273414612,
-0.23541899025440216,
-0.4505123198032379,
-0.14295238256454468,
-0.045315809547901154,
-0.13631442189216614,
-0.0938030257821083,
0.2150987833738327,
-0.12031532824039459,
0.2540312707424164,
-0.06086517870426178,
0.26602479815483093,
-0.03785590082406998,
-0.033680662512779236,
0.4772065579891205,
0.0953952968120575,
-0.2791571319103241,
0.42964252829551697,
-0.14281505346298218,
0.20302093029022217,
0.13304799795150757,
-0.3720070421695709,
0.47840917110443115,
0.3028565049171448,
-0.10998030006885529,
-0.00590578792616725,
0.19600790739059448,
-0.2528352737426758,
-0.008956502191722393,
0.14065779745578766,
0.40209999680519104,
-0.346855103969574,
-0.32030200958251953,
-0.58281010389328,
0.5492749214172363,
0.003125912044197321,
-0.36882954835891724,
0.2551998794078827,
-0.010727684013545513,
-0.3315707743167877,
0.23260775208473206,
-0.22382239997386932,
1.1526607275009155,
0.1274232268333435,
0.3265951871871948,
-0.0009181098430417478,
-0.10209719836711884,
0.8224453330039978,
-0.054458919912576675,
0.08067682385444641,
-0.10956143587827682,
-0.04315533488988876,
-0.13305158913135529,
-0.20595571398735046,
0.1671733409166336,
0.1299719512462616,
-0.09159757941961288,
0.3078961968421936,
0.17555078864097595,
0.0021265523973852396,
0.07282976806163788,
0.4751613438129425,
0.1268330216407776,
0.004293225239962339,
-0.35017284750938416,
0.06220218539237976,
0.031313151121139526,
0.1564972698688507,
0.0473199300467968,
-0.23766227066516876,
-0.4849186837673187,
-0.41060158610343933,
-0.09666313976049423,
0.09266935288906097,
0.3221285939216614,
0.07424373179674149,
-0.07986145466566086,
-0.19807744026184082,
-0.2268858700990677,
0.20781296491622925,
-0.008843359537422657,
-0.05848034843802452,
-0.33503973484039307,
0.1760789006948471,
-0.14393234252929688,
-0.2794753611087799,
-0.20071320235729218,
-0.1652781218290329,
0.2625408172607422,
-0.25820496678352356,
-0.26511821150779724,
-0.010710452683269978,
-0.0790310874581337,
-0.28006163239479065,
-0.3210088908672333,
0.2931114733219147,
0.4260565936565399,
0.010683136992156506,
-0.2837386429309845,
0.4091005325317383,
-0.024119729176163673,
-0.004242885857820511,
0.05624654144048691,
0.4037863612174988,
0.02478090114891529,
0.4783609211444855,
0.19976341724395752,
-0.3077811896800995,
-0.11372805386781693,
0.3047425150871277,
0.7428829669952393,
-0.07022089511156082,
0.3021062910556793,
-0.09806854277849197,
-0.011664054356515408,
-0.10569610446691513,
-0.10398538410663605,
-0.20967814326286316,
-0.1769358366727829,
0.0328197255730629,
0.03127063065767288,
0.251249760389328,
0.21842822432518005,
0.011708667501807213,
-0.011572939343750477,
-0.18024489283561707,
-0.1883937120437622,
-0.461404025554657,
-0.13243554532527924,
0.08870572596788406,
-0.3724980056285858,
0.40051084756851196,
0.0721593126654625,
-0.1330241858959198,
0.3243182897567749,
0.1654839962720871,
-0.2065475583076477,
0.15494373440742493,
-0.035977840423583984,
0.2704542875289917,
0.4610452353954315,
0.11127416044473648,
0.05570828914642334,
-0.20335392653942108,
-0.06352409720420837,
-0.1928076595067978,
-0.11600193381309509,
-0.10259056091308594,
-0.2786969244480133,
0.22386667132377625,
0.12651003897190094,
0.048987772315740585,
0.01391167938709259,
-0.2325642704963684,
-0.19723495841026306,
0.10693574696779251,
0.012789835222065449,
-0.0910222977399826,
0.04635284096002579,
0.1213919073343277,
-0.13883931934833527,
0.014664708636701107,
0.045174285769462585,
0.3172227144241333,
-0.28537997603416443,
0.11752595752477646,
0.3289768099784851,
0.11331642419099808,
-0.2091720849275589,
-0.13677506148815155,
-0.26757118105888367,
-0.01486930064857006,
0.12046156078577042,
-0.1788608878850937,
0.3095262050628662,
0.02365964464843273,
0.06650518625974655,
-0.2103354036808014,
0.2348409742116928,
0.737738311290741,
-0.26888778805732727,
0.1399053931236267,
-0.07228129357099533,
0.026590954512357712,
-0.26007387042045593,
-0.03565452992916107,
0.14888793230056763,
0.22216255962848663,
-0.16084378957748413,
0.1575271189212799,
0.1493341326713562,
-0.07433734089136124,
-0.18297052383422852,
0.01084597222507,
0.7443416714668274,
-0.1675221472978592,
0.10861516743898392,
-0.13933466374874115,
-0.0065565574914216995,
0.04117714613676071,
-0.015504982322454453,
0.17375369369983673,
0.021767066791653633,
0.10403049737215042,
0.0990992859005928,
0.29588139057159424,
0.04692915454506874,
-0.08133488893508911,
0.1565871685743332,
-0.1968528777360916,
-0.023893918842077255,
0.7082404494285583,
0.10019394755363464,
0.3292534351348877,
0.21454094350337982,
0.5007227659225464,
0.04617145285010338,
0.08842502534389496,
-0.15246091783046722,
0.4521012604236603,
0.30750808119773865,
-0.12500467896461487,
-0.1658215969800949,
-0.276661217212677,
-0.0663161352276802,
-0.1019153892993927,
0.004147159401327372,
-0.27595198154449463,
0.1621083915233612,
0.013707396574318409,
-0.2040804773569107,
-0.6190455555915833,
0.3473253846168518,
0.028992000967264175,
-0.08817125111818314,
-0.15126630663871765,
0.05593785271048546,
-0.05157645791769028,
-0.106229767203331,
0.3673674166202545,
0.33350178599357605,
0.24257710576057434,
0.29391366243362427,
0.0698905736207962,
-0.16431932151317596,
0.3510328531265259,
0.030839579179883003,
-0.1833093762397766,
0.19911254942417145,
0.31850293278694153,
0.09088330715894699,
0.3007444143295288,
0.1006975769996643,
-0.03643719479441643,
0.03841126337647438,
0.2743447422981262,
0.0016552555607631803,
-0.2547135651111603,
0.4916636645793915,
-0.1473430097103119,
0.06510000675916672,
-0.011430514976382256,
0.11638002097606659,
-0.6328662037849426,
-0.2241937518119812,
0.29300516843795776,
0.09583374112844467,
0.11507967859506607,
-0.3418157994747162,
0.014299304224550724,
0.09833154827356339,
0.6334850192070007,
-0.07816998660564423,
0.12740185856819153,
-0.12272841483354568,
-0.3408302962779999,
-0.6841955780982971,
0.22655120491981506,
-0.1193961352109909,
0.13815122842788696,
0.0011205475311726332,
0.2716943919658661,
0.28507909178733826,
0.24463270604610443,
0.08168870955705643,
0.05564732849597931,
-0.6260475516319275,
0.018999774008989334,
-0.043697379529476166,
-0.22733014822006226,
-0.2766311466693878,
0.2152404934167862,
-0.08741699159145355,
-0.03948570415377617,
0.10128520429134369,
-0.35122114419937134,
-0.02895716205239296,
-0.07868736982345581,
-0.08384790271520615,
0.2922545075416565,
0.16823986172676086,
0.5404801368713379,
0.11159107834100723,
0.5250933170318604,
-0.1857175976037979,
-0.2845461964607239,
-0.3882063031196594,
0.11773788183927536,
-0.3753584325313568,
0.10256795585155487,
-0.0020776621531695127,
0.06304620206356049,
-0.46579068899154663,
0.3216524124145508,
-0.07286219298839569,
0.013991940766572952,
-0.04858587309718132,
-0.22922463715076447,
-0.0022878057789057493,
-0.05107443407177925,
0.0779462680220604,
0.10831804573535919,
0.18994592130184174,
0.29205793142318726,
-0.2019282728433609,
0.0743769183754921,
-0.18357212841510773,
-0.13972774147987366,
0.38617274165153503,
-0.20822648704051971,
-0.19402609765529633,
0.0987420380115509,
0.018720369786024094,
-0.1719147264957428,
0.16188129782676697,
-0.7090774774551392,
-0.0625184029340744,
0.37038546800613403,
-0.08114296197891235,
-0.1896418035030365,
0.10166256129741669,
-0.0853830948472023,
-0.3409075438976288,
-0.10702230036258698,
0.2071159929037094,
0.011787394061684608,
-0.27496498823165894,
-0.19342850148677826,
-0.18986165523529053
] |
https://github.com/huggingface/datasets/issues/193 | [Tensorflow] Use something else than `from_tensor_slices()` | `from_generator` is not working on TPU, I met the following error :
```
File "/usr/local/lib/python3.6/contextlib.py", line 88, in __exit__
next(self.gen)
File "/home/usr/.venv/bart/lib/python3.6/site-packages/tensorflow_core/python/eager/context.py", line 1900, in execution_mode
executor_new.wait()
File "/home/usr/.venv/bart/lib/python3.6/site-packages/tensorflow_core/python/eager/executor.py", line 67, in wait
pywrap_tensorflow.TFE_ExecutorWaitForAllPendingNodes(self._handle)
tensorflow.python.framework.errors_impl.NotFoundError: No registered 'PyFunc' OpKernel for 'CPU' devices compatible with node {{node PyFunc}}
. Registered: <no registered kernels>
[[PyFunc]]
```
---
@lhoestq It seems you merged some changes that allow lazy-loading. **Can you give an example of how to use ?** Maybe the Colab notebook should be updated with this method as well. | In the example notebook, the TF Dataset is built using `from_tensor_slices()` :
```python
columns = ['input_ids', 'token_type_ids', 'attention_mask', 'start_positions', 'end_positions']
train_tf_dataset.set_format(type='tensorflow', columns=columns)
features = {x: train_tf_dataset[x] for x in columns[:3]}
labels = {"output_1": train_tf_dataset["start_positions"]}
labels["output_2"] = train_tf_dataset["end_positions"]
tfdataset = tf.data.Dataset.from_tensor_slices((features, labels)).batch(8)
```
But according to [official tensorflow documentation](https://www.tensorflow.org/guide/data#consuming_numpy_arrays), this will load the entire dataset to memory.
**This defeats one purpose of this library, which is lazy loading.**
Is there any other way to load the `nlp` dataset into TF dataset lazily ?
---
For example, is it possible to use [Arrow dataset](https://www.tensorflow.org/io/api_docs/python/tfio/arrow/ArrowDataset) ? If yes, is there any code example ? | 87 | [Tensorflow] Use something else than `from_tensor_slices()`
In the example notebook, the TF Dataset is built using `from_tensor_slices()` :
```python
columns = ['input_ids', 'token_type_ids', 'attention_mask', 'start_positions', 'end_positions']
train_tf_dataset.set_format(type='tensorflow', columns=columns)
features = {x: train_tf_dataset[x] for x in columns[:3]}
labels = {"output_1": train_tf_dataset["start_positions"]}
labels["output_2"] = train_tf_dataset["end_positions"]
tfdataset = tf.data.Dataset.from_tensor_slices((features, labels)).batch(8)
```
But according to [official tensorflow documentation](https://www.tensorflow.org/guide/data#consuming_numpy_arrays), this will load the entire dataset to memory.
**This defeats one purpose of this library, which is lazy loading.**
Is there any other way to load the `nlp` dataset into TF dataset lazily ?
---
For example, is it possible to use [Arrow dataset](https://www.tensorflow.org/io/api_docs/python/tfio/arrow/ArrowDataset) ? If yes, is there any code example ?
`from_generator` is not working on TPU, I met the following error :
```
File "/usr/local/lib/python3.6/contextlib.py", line 88, in __exit__
next(self.gen)
File "/home/usr/.venv/bart/lib/python3.6/site-packages/tensorflow_core/python/eager/context.py", line 1900, in execution_mode
executor_new.wait()
File "/home/usr/.venv/bart/lib/python3.6/site-packages/tensorflow_core/python/eager/executor.py", line 67, in wait
pywrap_tensorflow.TFE_ExecutorWaitForAllPendingNodes(self._handle)
tensorflow.python.framework.errors_impl.NotFoundError: No registered 'PyFunc' OpKernel for 'CPU' devices compatible with node {{node PyFunc}}
. Registered: <no registered kernels>
[[PyFunc]]
```
---
@lhoestq It seems you merged some changes that allow lazy-loading. **Can you give an example of how to use ?** Maybe the Colab notebook should be updated with this method as well. | [
-0.1073189303278923,
-0.0873601958155632,
0.05800769850611687,
0.19675105810165405,
0.21143007278442383,
0.09753461182117462,
0.28022217750549316,
0.37640878558158875,
-0.15019261837005615,
0.0037052403204143047,
-0.06848964095115662,
0.5348147749900818,
-0.1144312173128128,
0.003604027908295393,
0.3254980444908142,
-0.17846260964870453,
-0.034475427120923996,
0.25624608993530273,
-0.0664241835474968,
-0.06997563689947128,
-0.04355105012655258,
-0.024568818509578705,
-0.09649649262428284,
-0.026775924488902092,
0.056818120181560516,
0.018074840307235718,
0.08552568405866623,
-0.14649777114391327,
0.4081125855445862,
0.04641757532954216,
0.38986900448799133,
0.023344988003373146,
-0.03362147882580757,
0.1560436636209488,
-0.000114742862933781,
0.4061403274536133,
0.03541801869869232,
-0.19170315563678741,
0.07188346982002258,
-0.1159355565905571,
0.16804364323616028,
-0.16358785331249237,
0.16523249447345734,
-0.21809466183185577,
-0.05620698258280754,
0.02299570105969906,
0.2129848450422287,
-0.060164835304021835,
0.2803555130958557,
0.13797186315059662,
0.09116267412900925,
0.5434454679489136,
-0.17063161730766296,
0.2633912265300751,
0.1432105004787445,
-0.15265363454818726,
-0.23502609133720398,
-0.254381000995636,
-0.1945095658302307,
0.020991520956158638,
0.11463548243045807,
0.08944666385650635,
-0.23712687194347382,
0.12987102568149567,
0.46162736415863037,
0.16119170188903809,
-0.06941181421279907,
-0.36647117137908936,
-0.20929767191410065,
0.4291148781776428,
0.2616470456123352,
-0.06549938768148422,
-0.17502063512802124,
-0.4465813636779785,
-0.23368868231773376,
-0.3110019266605377,
-0.10490377992391586,
0.12665270268917084,
-0.2806473672389984,
0.22548286616802216,
-0.09822240471839905,
-0.08737309277057648,
-0.2566457688808441,
0.1765187829732895,
0.1964697390794754,
-0.044815246015787125,
0.12743735313415527,
0.11077558994293213,
0.20774735510349274,
0.154510959982872,
0.4083366394042969,
0.02135806530714035,
0.3032935857772827,
0.40228039026260376,
-0.2894178628921509,
0.02911575511097908,
0.17799705266952515,
-0.5676334500312805,
-0.0688973069190979,
-0.2302417904138565,
0.39170101284980774,
0.16744378209114075,
-0.3058209717273712,
0.2517024874687195,
-0.010725426487624645,
-0.09433666616678238,
-0.4143877625465393,
0.17374259233474731,
-0.15313921868801117,
-0.5154545903205872,
0.05342891812324524,
0.0449388362467289,
-0.2540411949157715,
-0.010109999217092991,
0.02233605645596981,
-0.5388684868812561,
-0.1700577437877655,
0.22495514154434204,
-0.3130659759044647,
-0.42528679966926575,
-0.25238993763923645,
-0.04954863712191582,
0.0026704049669206142,
0.2106461524963379,
-0.12489917129278183,
0.5658951997756958,
0.14857371151447296,
-0.13732144236564636,
-0.30453813076019287,
-0.048636503517627716,
-0.19958890974521637,
0.08693216741085052,
-0.06759520620107651,
-0.08612387627363205,
0.13496723771095276,
-0.17564843595027924,
0.1778351068496704,
-0.15483301877975464,
-0.16657774150371552,
0.13682706654071808,
0.299893856048584,
-0.10216767340898514,
0.0943407341837883,
0.2443118691444397,
0.046297308057546616,
-0.05606013908982277,
0.047438692301511765,
0.07257132232189178,
-0.2107289731502533,
0.3622112274169922,
-0.5235630869865417,
-0.30007046461105347,
-0.041467197239398956,
0.0968170315027237,
0.02677207626402378,
-0.19203898310661316,
-0.32315269112586975,
0.2882845401763916,
0.1580440253019333,
-0.13978342711925507,
-0.17260891199111938,
-0.17757491767406464,
-0.43399539589881897,
-0.2991338074207306,
0.3465133607387543,
0.0750122144818306,
-0.5027426481246948,
-0.12278886884450912,
-0.012916401028633118,
-0.05792608857154846,
0.2622862160205841,
0.427792489528656,
-0.22205686569213867,
0.538047730922699,
-0.08767692744731903,
-0.027470698580145836,
0.8010424971580505,
-0.0747700110077858,
-0.17104381322860718,
0.24721165001392365,
-0.11224613338708878,
0.1672293245792389,
0.028713300824165344,
0.387594074010849,
-0.0019182333489879966,
-0.03081885166466236,
0.38124847412109375,
0.637941837310791,
-0.15168552100658417,
0.02548350766301155,
-0.10614724457263947,
-0.34956666827201843,
0.2707490622997284,
0.24196387827396393,
0.1044936403632164,
-0.030045440420508385,
-0.23651081323623657,
0.3986968696117401,
0.13126157224178314,
-0.024340849369764328,
-0.19287601113319397,
0.14614519476890564,
-0.14589954912662506,
0.025187570601701736,
-0.18390023708343506,
0.1019967719912529,
-0.6190455555915833,
0.2335280328989029,
0.1444830745458603,
0.08388926833868027,
0.23681828379631042,
-0.04436876252293587,
0.3555767238140106,
0.12261123955249786,
0.0514349602162838,
0.15910974144935608,
-0.04666570946574211,
0.12642869353294373,
-0.05838850140571594,
-0.0436280257999897,
-0.3507686257362366,
0.1307992786169052,
-0.350517213344574,
-0.0940878838300705,
-0.3933817744255066,
0.29612085223197937,
0.3782665729522705,
-0.03691062703728676,
-0.11612729728221893,
0.25752630829811096,
-0.3368946611881256,
-0.10079947859048843,
0.059604745358228683,
0.20393307507038116,
0.008491909131407738,
0.3252091407775879,
-0.7214282155036926,
0.4762922525405884,
0.05750986188650131,
-0.017924945801496506,
-0.08479440212249756,
0.13055141270160675,
0.009945041500031948,
-0.22096234560012817,
-0.01816907525062561,
0.27505168318748474,
-0.23169873654842377,
0.1988259255886078,
0.28876686096191406,
-0.28769582509994507,
0.14816173911094666,
0.07204973697662354,
0.18649309873580933,
-0.11101426184177399,
0.47624003887176514,
0.17128786444664001,
0.17858915030956268,
0.3287809193134308,
-0.532170832157135,
0.20310787856578827,
0.6362364888191223,
-0.01515463087707758,
-0.1437106430530548,
0.1793668419122696,
0.01802227273583412,
-0.2019820362329483,
-0.036248497664928436,
-0.07885102927684784,
0.2486160397529602,
0.10557577759027481,
0.04468768090009689,
-0.018214115872979164,
-0.09769808501005173,
-0.28492337465286255,
0.21820412576198578,
0.10028044879436493,
0.40321019291877747,
-0.09976126253604889,
0.026070235297083855,
0.2311626374721527,
-0.17332805693149567,
0.0878036767244339,
0.24988047778606415,
0.17551663517951965,
-0.24388694763183594,
0.017860880121588707,
-0.2885762155056,
-0.27924275398254395,
-0.055799324065446854,
0.08746649324893951,
0.139637291431427,
-0.16931822896003723,
-0.0913475751876831,
0.3872901499271393,
-0.009227724745869637,
-0.08408679813146591,
-0.14456342160701752,
0.2974521517753601,
0.14736445248126984,
-0.4759063124656677,
-0.1068064272403717,
-0.06507272273302078,
-0.21300120651721954,
0.03152335435152054,
0.37497058510780334,
0.1918809562921524,
0.22233009338378906,
0.008134047500789165,
-0.13919593393802643,
0.18115556240081787,
-0.08397350460290909,
0.2416810691356659,
-0.03193896636366844,
0.13781872391700745,
-0.046962346881628036,
0.11223521083593369,
-0.07272319495677948,
-0.2634592056274414,
-0.06183754280209541,
-0.42909643054008484,
0.039671752601861954,
0.18683350086212158,
0.017481744289398193,
0.16025826334953308,
-0.23621904850006104,
-0.1386367678642273,
-0.28904715180397034,
-0.39600300788879395,
-0.018298322334885597,
0.1862497627735138,
0.32266610860824585,
0.4042643904685974,
0.0039605265483260155,
0.2540593147277832,
0.393064022064209,
0.06724508851766586,
0.08527900278568268,
-0.15549074113368988,
0.4933820962905884,
-0.27669811248779297,
-0.2668294310569763,
-0.14344799518585205,
-0.14479824900627136,
0.24469903111457825,
0.368446946144104,
-0.6950927376747131,
0.2113615721464157,
-0.0967334508895874,
0.1460212916135788,
-0.09841293096542358,
-0.015865687280893326,
0.22807812690734863,
-0.2083778977394104,
0.06874624639749527,
-0.01793673448264599,
0.09904482215642929,
0.13033054769039154,
0.02588055096566677,
-0.1436576098203659,
0.4220215380191803,
0.4722149074077606,
0.31678804755210876,
0.7827595472335815,
-0.12301839888095856,
-0.24631240963935852,
0.28384584188461304,
-0.22802145779132843,
0.25997820496559143,
-0.19186244904994965,
-0.016254866495728493,
0.0662873163819313,
0.04867066442966461,
-0.06577876955270767,
0.23008982837200165,
-0.10858732461929321,
-0.13981179893016815,
-0.15558433532714844,
0.2244047224521637,
0.09555874019861221,
-0.22741520404815674,
0.22539600729942322,
-0.2080325037240982,
0.21618549525737762,
0.09425517171621323,
0.22961772978305817,
-0.3376867473125458,
-0.42883190512657166,
-0.02579827606678009,
-0.177210733294487,
0.4478471577167511,
-0.05506278574466705,
-0.2819492518901825,
0.13209529221057892,
-0.6937564611434937,
0.0947369858622551,
0.04768572002649307,
0.3188587725162506,
0.07766298204660416,
-0.2423044890165329,
0.004207187797874212,
0.06520787626504898,
0.6028187870979309,
0.04434771090745926,
-0.08510803431272507,
0.2141726315021515,
-0.19752942025661469,
-0.5001956224441528,
0.022524576634168625,
-0.031511418521404266,
-0.08884205669164658,
0.2648511826992035,
0.12026425451040268,
-0.29280272126197815,
-0.5042571425437927,
-0.07943680137395859,
-0.00020346706151030958,
-0.3595183193683624,
-0.09357253462076187,
-0.22388868033885956,
-0.26167425513267517,
-0.028192788362503052,
-0.38269078731536865,
0.021887527778744698,
0.30103784799575806,
-0.1224641501903534,
0.02017262764275074,
-0.1732185035943985,
0.001603724085725844,
0.2339189052581787,
0.011684953235089779,
0.1428959220647812,
0.4014412462711334,
0.040681783109903336,
-0.061452481895685196,
-0.034300047904253006,
-0.09876597672700882,
0.20590762794017792,
-0.09806337207555771,
-0.1612318754196167,
0.036569517105817795,
0.15343141555786133,
0.36917638778686523,
0.03178919851779938,
0.02326355315744877,
0.12791909277439117,
-0.14821946620941162,
0.038300905376672745,
-0.14445938169956207,
0.3786458969116211,
0.09082195162773132,
-0.3453334867954254,
-0.07255542278289795,
-0.5526953935623169,
0.5314414501190186,
0.29880064725875854,
0.15192659199237823,
0.4885193407535553,
-0.19536982476711273,
-0.35578614473342896,
0.49162474274635315,
0.396874338388443,
0.5634971261024475,
-0.3789258599281311,
0.48827844858169556,
0.7028645873069763,
0.5219011902809143,
0.9219173789024353,
-0.38402482867240906,
0.28374183177948,
-0.11130274832248688,
-0.385222464799881,
-0.07143624871969223,
-0.2753489017486572,
-0.32653138041496277,
0.13125759363174438,
0.13309505581855774,
0.24553123116493225,
0.1267232447862625,
0.2848155200481415,
0.2412850260734558,
0.3513437807559967,
0.3585636615753174,
-0.4072933495044708,
-0.21223026514053345,
0.013731996528804302,
0.051649484783411026,
-0.14456020295619965,
-0.11486571282148361,
-0.20799125730991364,
0.21388408541679382,
0.05818139761686325,
-0.014009100385010242,
0.15659713745117188,
-0.26246488094329834,
0.21527208387851715,
0.13642588257789612,
-0.13545134663581848,
0.06786584854125977,
0.2597348392009735,
0.12310487031936646,
-0.18345627188682556,
-0.07790299504995346,
-0.07857682555913925,
0.061042603105306625,
-0.011666083708405495,
0.14572300016880035,
-0.04938458278775215,
0.6279590725898743,
-0.05613862723112106,
0.19453710317611694,
0.1661253124475479,
-0.08871261775493622,
-0.571548581123352,
-0.1340983510017395,
-0.14428333938121796,
0.07634370028972626,
0.18374967575073242,
-0.5355886816978455,
0.28123295307159424,
-0.2824200689792633,
0.2070796638727188,
0.05103131756186485,
0.13851426541805267,
-0.22972017526626587,
0.039809878915548325,
0.016621697694063187,
-0.192434623837471,
0.20765309035778046,
0.035004641860723495,
0.09301959723234177,
0.03120243363082409,
0.373372346162796,
0.22355785965919495,
0.02071729674935341,
-0.017776818946003914,
0.08544106781482697,
0.28490737080574036,
-0.07938233762979507,
0.0800856202840805,
0.026713965460658073,
0.20169711112976074,
0.07773012667894363,
0.3733218014240265,
-0.18203824758529663,
0.0651799887418747,
-0.2921448349952698,
-0.16977271437644958,
-0.2766074538230896,
0.3394337296485901,
-0.08160224556922913,
0.1277526617050171,
-0.04946049675345421,
0.21621233224868774,
-0.10642240941524506,
0.24101051688194275,
-0.18489331007003784,
-0.05398191139101982,
0.002245950046926737,
0.04347416013479233,
-0.14907680451869965,
-0.017296282574534416,
0.04800492897629738,
0.11890821158885956,
0.027415882796049118,
0.12441655248403549,
-0.32206106185913086,
-0.14280183613300323,
-0.027802275493741035,
0.20201465487480164,
0.051952581852674484,
-0.2506323754787445,
-0.023800848051905632,
-0.3716358542442322,
-0.3312898576259613,
-0.20353351533412933,
0.11228173226118088,
-0.11092831194400787,
-0.2844444811344147,
0.02243868261575699,
-0.078731469810009,
0.36041149497032166,
-0.2519085109233856,
0.061955247074365616,
-0.0862828865647316,
0.3406100571155548,
-0.09359583258628845,
0.25554782152175903,
0.15018928050994873,
-0.022436855360865593,
-0.37363654375076294,
-0.12177389860153198,
0.17380164563655853,
-0.15421320497989655,
0.12140530347824097,
-0.328571081161499,
-0.07203742116689682,
-0.257597953081131,
0.024638677015900612,
0.3140626549720764,
-0.19655245542526245,
0.12919358909130096,
0.22686819732189178,
0.06306266039609909,
-0.1053430587053299,
-0.11044999212026596,
0.21441708505153656,
0.026152458041906357,
-0.03034953773021698,
0.2293282449245453,
0.07449854910373688,
0.15259398519992828,
-0.10686349123716354,
-0.03071664273738861,
0.0404677577316761,
-0.572433590888977,
-0.18100404739379883,
0.4083302319049835,
-0.07960913330316544,
0.0684163048863411,
-0.17246757447719574,
0.10472401231527328,
0.13364669680595398,
0.13838393986225128,
0.30736637115478516,
0.17160165309906006,
-0.1019175574183464,
-0.08759202808141708,
-0.04754037410020828,
-0.37738367915153503,
-0.4539463520050049,
0.48343321681022644,
-0.04196338355541229,
0.5714566707611084,
-0.26525574922561646,
0.0016516963951289654,
0.11766763776540756,
-0.16160432994365692,
-0.17609821259975433,
0.28459861874580383,
-0.10150345414876938,
-0.018113192170858383,
-0.2557772099971771,
0.05827958509325981,
-0.16195832192897797,
0.273561954498291,
-0.09264330565929413,
-0.2304716408252716,
-0.21142855286598206,
0.3268534243106842,
0.12374904006719589,
0.16980482637882233,
0.0880313366651535,
0.08871407806873322,
0.20860172808170319,
-0.1412576586008072,
0.24054566025733948,
-0.28913503885269165,
-0.09723278880119324,
-0.3500281870365143,
0.015347659587860107,
0.08870036154985428,
0.3145703673362732,
-0.30286291241645813,
0.12886179983615875,
0.10813026875257492,
-0.06667692959308624,
-0.015008625574409962,
0.260098934173584,
0.23029519617557526,
0.11595559865236282,
0.2454717606306076,
-0.045211311429739,
-0.025874655693769455,
0.14597779512405396,
0.18008217215538025,
0.16942836344242096,
-0.5887805223464966,
0.6027830839157104,
0.18034861981868744,
-0.09682058542966843,
-0.00834179762750864,
0.1899622529745102,
-0.05924702063202858,
-0.03979833424091339,
0.4897260069847107,
-0.2684251368045807,
0.039919592440128326,
0.056890569627285004,
0.013276300393044949,
-0.18620267510414124,
0.6324132680892944,
0.08844910562038422,
0.491703063249588,
-0.10871725529432297,
0.026488665491342545,
-0.46973177790641785,
0.1212523877620697,
-0.11352182924747467,
0.13867077231407166,
0.25990134477615356,
0.2758074104785919,
0.15131770074367523,
0.17945979535579681,
-0.43608278036117554,
-0.18453675508499146,
0.0054649175144732,
0.09761244058609009,
-0.12733004987239838,
-0.15381582081317902,
-0.49346449971199036,
0.1202746108174324,
-0.15698663890361786,
-0.4985116422176361,
0.0545867383480072,
-0.413902223110199,
-0.10423564165830612,
-0.09382867813110352,
0.25318029522895813,
0.3283686935901642,
0.4639805257320404,
0.2814912497997284,
-0.033510785549879074,
-0.04955597221851349,
0.0429597944021225,
-0.08725900202989578,
-0.1108313724398613,
-0.02888859063386917,
-0.35535362362861633,
-0.049638502299785614,
-0.17677170038223267,
0.07457433640956879,
-0.2796945571899414,
-0.025637291371822357,
-0.3028123378753662,
-0.24400842189788818,
0.017998358234763145,
-0.08510861545801163,
-0.1251232624053955,
0.0793658122420311,
-0.2918234169483185,
0.18006528913974762,
0.32479456067085266,
0.3962629437446594,
-0.129053995013237,
-0.13008856773376465,
-0.29265573620796204,
0.14886410534381866,
0.36815690994262695,
-0.6422930955886841,
-0.17142201960086823,
0.04930349811911583,
-0.15187107026576996,
0.24562609195709229,
0.0641321912407875,
-0.279304176568985,
-0.20046310126781464,
0.30683737993240356,
-0.12597031891345978,
-0.19656646251678467,
0.19951149821281433,
0.3359585702419281,
-0.05168238654732704,
-0.11604385823011398,
0.27684783935546875,
-0.0313042588531971,
-0.4617125988006592,
-0.2316129207611084,
-0.4398326277732849
] |
https://github.com/huggingface/datasets/issues/193 | [Tensorflow] Use something else than `from_tensor_slices()` | Could you send me the code you used to run create the dataset using `.from_generator` ? What version of tensorflow are you using ? | In the example notebook, the TF Dataset is built using `from_tensor_slices()` :
```python
columns = ['input_ids', 'token_type_ids', 'attention_mask', 'start_positions', 'end_positions']
train_tf_dataset.set_format(type='tensorflow', columns=columns)
features = {x: train_tf_dataset[x] for x in columns[:3]}
labels = {"output_1": train_tf_dataset["start_positions"]}
labels["output_2"] = train_tf_dataset["end_positions"]
tfdataset = tf.data.Dataset.from_tensor_slices((features, labels)).batch(8)
```
But according to [official tensorflow documentation](https://www.tensorflow.org/guide/data#consuming_numpy_arrays), this will load the entire dataset to memory.
**This defeats one purpose of this library, which is lazy loading.**
Is there any other way to load the `nlp` dataset into TF dataset lazily ?
---
For example, is it possible to use [Arrow dataset](https://www.tensorflow.org/io/api_docs/python/tfio/arrow/ArrowDataset) ? If yes, is there any code example ? | 24 | [Tensorflow] Use something else than `from_tensor_slices()`
In the example notebook, the TF Dataset is built using `from_tensor_slices()` :
```python
columns = ['input_ids', 'token_type_ids', 'attention_mask', 'start_positions', 'end_positions']
train_tf_dataset.set_format(type='tensorflow', columns=columns)
features = {x: train_tf_dataset[x] for x in columns[:3]}
labels = {"output_1": train_tf_dataset["start_positions"]}
labels["output_2"] = train_tf_dataset["end_positions"]
tfdataset = tf.data.Dataset.from_tensor_slices((features, labels)).batch(8)
```
But according to [official tensorflow documentation](https://www.tensorflow.org/guide/data#consuming_numpy_arrays), this will load the entire dataset to memory.
**This defeats one purpose of this library, which is lazy loading.**
Is there any other way to load the `nlp` dataset into TF dataset lazily ?
---
For example, is it possible to use [Arrow dataset](https://www.tensorflow.org/io/api_docs/python/tfio/arrow/ArrowDataset) ? If yes, is there any code example ?
Could you send me the code you used to run create the dataset using `.from_generator` ? What version of tensorflow are you using ? | [
-0.16860908269882202,
-0.0939883142709732,
0.011844159103929996,
0.16997626423835754,
0.27237075567245483,
0.08235664665699005,
0.22564618289470673,
0.38973090052604675,
-0.05037693306803703,
0.005148948170244694,
-0.08119332045316696,
0.6080825328826904,
-0.1429208666086197,
-0.014412811025977135,
0.2508257031440735,
-0.2165248841047287,
-0.10149414092302322,
0.25961896777153015,
-0.14962494373321533,
-0.09359471499919891,
-0.014412195421755314,
-0.03481737896800041,
-0.14135682582855225,
-0.027524571865797043,
-0.060128532350063324,
-0.0839260071516037,
0.07913295179605484,
-0.09566803276538849,
0.3711792528629303,
0.039042599499225616,
0.2916140556335449,
0.0025851076934486628,
-0.024421097710728645,
0.16511112451553345,
-0.000103201404272113,
0.321574330329895,
0.03437275066971779,
-0.14773273468017578,
0.0488395020365715,
-0.07913176715373993,
0.16531766951084137,
-0.2739708423614502,
0.1919616311788559,
-0.302823007106781,
-0.054379191249608994,
0.00816937256604433,
0.19384154677391052,
-0.0288156196475029,
0.3141273260116577,
0.15881867706775665,
0.2169724553823471,
0.4294990301132202,
-0.11771481484174728,
0.30170243978500366,
0.11722374707460403,
-0.17708224058151245,
-0.1900474727153778,
-0.22906723618507385,
-0.21755370497703552,
-0.014430584385991096,
0.03290586546063423,
0.26630154252052307,
-0.2041039913892746,
0.1305106282234192,
0.4554981589317322,
0.14307770133018494,
-0.11107146739959717,
-0.37035706639289856,
-0.26494020223617554,
0.37896573543548584,
0.2244817018508911,
-0.08395063877105713,
-0.15154649317264557,
-0.4547233283519745,
-0.17095236480236053,
-0.3064981698989868,
-0.1505763679742813,
0.11813352257013321,
-0.2600310444831848,
0.12261244654655457,
-0.10149893909692764,
-0.0880126953125,
-0.2320559322834015,
0.14483609795570374,
0.1663920134305954,
-0.04291354492306709,
0.08226271718740463,
0.10815596580505371,
0.15611250698566437,
0.04901333898305893,
0.24615341424942017,
0.05889127403497696,
0.35808202624320984,
0.36975085735321045,
-0.34041672945022583,
0.053697697818279266,
0.17792171239852905,
-0.5166307687759399,
-0.0021291824523359537,
-0.25052571296691895,
0.323152095079422,
0.17214292287826538,
-0.2449934482574463,
0.1835702806711197,
-0.0725676640868187,
0.012311302125453949,
-0.417817622423172,
0.11400589346885681,
-0.11787019670009613,
-0.4833918511867523,
-0.023928627371788025,
0.02170192077755928,
-0.2394130676984787,
-0.0485653281211853,
0.1193627119064331,
-0.4675557315349579,
-0.03389643877744675,
0.2352779507637024,
-0.375856876373291,
-0.37095242738723755,
-0.1966252624988556,
0.056531332433223724,
0.013881736434996128,
0.27162685990333557,
-0.18506430089473724,
0.4295896291732788,
0.15240775048732758,
-0.10676467418670654,
-0.33988818526268005,
0.004123578313738108,
-0.2882518768310547,
0.12291725724935532,
-0.12843964993953705,
-0.11231785267591476,
0.14382225275039673,
-0.07857140153646469,
0.20242609083652496,
-0.08082997053861618,
-0.17189054191112518,
0.1340389847755432,
0.2805541455745697,
-0.101080022752285,
0.08383265882730484,
0.21504884958267212,
0.05136311054229736,
-0.013148772530257702,
0.04464416950941086,
0.09676892310380936,
-0.16510321199893951,
0.3000503182411194,
-0.514404833316803,
-0.24342842400074005,
-0.034085553139448166,
0.20138071477413177,
0.11621610075235367,
-0.14932744204998016,
-0.25425800681114197,
0.3058810830116272,
0.13064271211624146,
-0.0581669844686985,
-0.17962691187858582,
-0.1691521853208542,
-0.41828593611717224,
-0.327901691198349,
0.31852224469184875,
0.058431558310985565,
-0.44932523369789124,
-0.07594025135040283,
-0.02289506234228611,
-0.00007904658559709787,
0.2840334475040436,
0.41180580854415894,
-0.20259393751621246,
0.47592002153396606,
-0.06604285538196564,
0.06232558935880661,
0.727269172668457,
-0.0797073096036911,
-0.20461837947368622,
0.2472715526819229,
-0.18754488229751587,
0.16651448607444763,
-0.05649450048804283,
0.3881361186504364,
0.01457935106009245,
0.006611118093132973,
0.38259825110435486,
0.6268609762191772,
-0.13027796149253845,
0.12627558410167694,
-0.16898010671138763,
-0.2685699462890625,
0.3044627904891968,
0.2909621000289917,
0.05505381152033806,
-0.09941801428794861,
-0.26903194189071655,
0.353055477142334,
0.140915647149086,
-0.04823559895157814,
-0.17051942646503448,
0.174309641122818,
-0.10140753537416458,
0.03389362990856171,
-0.19647015631198883,
0.023536941036581993,
-0.6025983691215515,
0.2567141354084015,
0.2188519388437271,
0.11899318546056747,
0.148202583193779,
-0.09703924506902695,
0.2708936631679535,
0.11006123572587967,
0.03228212893009186,
0.15630656480789185,
0.11245046555995941,
0.11767584085464478,
-0.017310423776507378,
-0.010448507964611053,
-0.25076282024383545,
0.21397973597049713,
-0.37623199820518494,
-0.16274890303611755,
-0.357413113117218,
0.20851120352745056,
0.30177509784698486,
-0.035390257835388184,
0.004790897481143475,
0.2599492073059082,
-0.2557675838470459,
-0.11474409699440002,
0.05725532025098801,
0.275302529335022,
-0.028167294338345528,
0.23908819258213043,
-0.626107931137085,
0.3982262909412384,
-0.016409412026405334,
-0.06816964596509933,
-0.05593867972493172,
0.145326167345047,
0.04535258933901787,
-0.1716870367527008,
0.01637233793735504,
0.2203737497329712,
-0.19826100766658783,
0.0816417783498764,
0.212279811501503,
-0.250498503446579,
0.17031976580619812,
0.02143077738583088,
0.17780974507331848,
-0.09024905413389206,
0.39968007802963257,
0.0517190545797348,
0.12820971012115479,
0.2929064631462097,
-0.5027151703834534,
0.24715454876422882,
0.6455686092376709,
0.0017065012361854315,
-0.060610488057136536,
0.21915079653263092,
-0.004607416223734617,
-0.18649259209632874,
-0.11462320387363434,
-0.07552824914455414,
0.22046244144439697,
0.23334971070289612,
0.004561163019388914,
-0.049156319350004196,
-0.1739036738872528,
-0.23643594980239868,
0.22989444434642792,
0.10348106920719147,
0.39502036571502686,
-0.09640909731388092,
0.046553224325180054,
0.15590418875217438,
-0.21102270483970642,
0.0506056472659111,
0.22332805395126343,
0.28673669695854187,
-0.20513209700584412,
-0.03855074197053909,
-0.24321706593036652,
-0.262923002243042,
-0.07050086557865143,
0.018393103033304214,
0.10047055035829544,
-0.1776508241891861,
-0.06376740336418152,
0.3268815577030182,
-0.005278523545712233,
-0.0022929818369448185,
-0.10702654719352722,
0.2660946249961853,
0.2539460361003876,
-0.36759209632873535,
-0.04812665283679962,
-0.09654681384563446,
-0.2597520053386688,
0.12326311320066452,
0.34578046202659607,
0.26507583260536194,
0.3060995042324066,
0.042402755469083786,
-0.029359307140111923,
0.1571473479270935,
-0.029309317469596863,
0.16931883990764618,
-0.18968982994556427,
0.12898238003253937,
-0.07206517457962036,
0.2025318294763565,
-0.10920284688472748,
-0.21997714042663574,
-0.0401364304125309,
-0.42298489809036255,
0.045517344027757645,
0.19250079989433289,
0.016064422205090523,
0.05312606319785118,
-0.2264474630355835,
-0.22006995975971222,
-0.2942710816860199,
-0.42354512214660645,
-0.011317514814436436,
0.11504660546779633,
0.28670719265937805,
0.46687278151512146,
-0.03242749720811844,
0.27440401911735535,
0.35955312848091125,
0.1347765177488327,
0.02100195549428463,
-0.13184277713298798,
0.5142490863800049,
-0.29144060611724854,
-0.2923905849456787,
-0.1259395033121109,
-0.15778841078281403,
0.21387909352779388,
0.26455411314964294,
-0.6998732686042786,
0.1633124202489853,
-0.18016670644283295,
0.09063251316547394,
-0.17192885279655457,
-0.023034512996673584,
0.2796552777290344,
-0.18283778429031372,
-0.037740156054496765,
-0.06421414017677307,
0.1282201111316681,
0.15930955111980438,
-0.0026163591537624598,
-0.1744402050971985,
0.29112568497657776,
0.43631571531295776,
0.293207585811615,
0.6823471188545227,
-0.04952210187911987,
-0.2472585290670395,
0.24511626362800598,
-0.20342116057872772,
0.1798972189426422,
-0.15880434215068817,
-0.12973561882972717,
0.0691831111907959,
0.0468609593808651,
-0.0193074531853199,
0.26274287700653076,
-0.07912977039813995,
-0.19225268065929413,
-0.085463747382164,
0.19334043562412262,
0.023228144273161888,
-0.2450515329837799,
0.2765369117259979,
-0.19784517586231232,
0.17820201814174652,
0.10248145461082458,
0.17246198654174805,
-0.38271084427833557,
-0.43289661407470703,
-0.02819054014980793,
-0.21834143996238708,
0.36756935715675354,
-0.05496933311223984,
-0.3525265157222748,
0.12331748008728027,
-0.6885600686073303,
0.0714336633682251,
0.09516609460115433,
0.29508161544799805,
0.044006720185279846,
-0.26446864008903503,
0.027434788644313812,
0.06361322849988937,
0.5770878791809082,
0.08534533530473709,
-0.03744007274508476,
0.1942191869020462,
-0.060622137039899826,
-0.5440307855606079,
0.02768373303115368,
-0.08388595283031464,
-0.02656622976064682,
0.25266334414482117,
0.13720068335533142,
-0.3163086473941803,
-0.5172992944717407,
-0.05490103363990784,
0.011884755454957485,
-0.3238765299320221,
-0.1030321791768074,
-0.2559071481227875,
-0.24362227320671082,
-0.012445760890841484,
-0.29287317395210266,
0.06926226615905762,
0.2637309432029724,
-0.1118287444114685,
-0.00764614250510931,
-0.1052023321390152,
-0.0017561325803399086,
0.2264772653579712,
0.021024586632847786,
0.21798676252365112,
0.4974190592765808,
0.09195953607559204,
-0.006784370634704828,
0.044760625809431076,
-0.17461474239826202,
0.2100192904472351,
-0.10321379452943802,
-0.12122233957052231,
-0.0029219656717032194,
0.11823977530002594,
0.3274330794811249,
0.0437074676156044,
0.04576598480343819,
0.08590217679738998,
-0.21129585802555084,
0.11721077561378479,
-0.2157900184392929,
0.41077524423599243,
0.1617109179496765,
-0.2892138361930847,
-0.1019580140709877,
-0.45165881514549255,
0.4895877242088318,
0.22257544100284576,
0.10899365693330765,
0.4912775456905365,
-0.17228466272354126,
-0.3628089427947998,
0.4391491115093231,
0.3384194076061249,
0.540488600730896,
-0.3218809962272644,
0.4336532652378082,
0.7526196837425232,
0.48587971925735474,
0.8558765649795532,
-0.35158705711364746,
0.28582462668418884,
-0.15107682347297668,
-0.3399319648742676,
0.006260357331484556,
-0.2254667729139328,
-0.4014180898666382,
0.06774912029504776,
0.06809141486883163,
0.18563011288642883,
0.08648081123828888,
0.22489535808563232,
0.17575803399085999,
0.39436402916908264,
0.36009663343429565,
-0.4310417175292969,
-0.2145262360572815,
0.14980219304561615,
-0.036545854061841965,
-0.15512986481189728,
-0.05978782847523689,
-0.20871643722057343,
0.1818535476922989,
0.06399659067392349,
0.02201472967863083,
0.15056204795837402,
-0.1861504167318344,
0.28352025151252747,
0.0552060604095459,
-0.06650636345148087,
-0.013074704445898533,
0.2632390558719635,
0.12207864969968796,
-0.17733293771743774,
-0.09848332405090332,
-0.057642027735710144,
0.02004092186689377,
0.003613065928220749,
0.08650219440460205,
-0.05334313586354256,
0.6400732398033142,
-0.049178361892700195,
0.13697384297847748,
0.1090063527226448,
-0.07215574383735657,
-0.48971840739250183,
-0.19590513408184052,
-0.11551954597234726,
0.08588781952857971,
0.08319542557001114,
-0.5479530096054077,
0.23642663657665253,
-0.20111961662769318,
0.18663033843040466,
0.16215384006500244,
0.12269847095012665,
-0.1949729025363922,
0.09241042286157608,
0.09988853335380554,
-0.2133835256099701,
0.22173047065734863,
0.035102471709251404,
0.1007731482386589,
0.09124832600355148,
0.3558175265789032,
0.22108863294124603,
-0.02595352567732334,
-0.07953140884637833,
0.08418277651071548,
0.303434282541275,
-0.06420739740133286,
0.035457175225019455,
0.04730672389268875,
0.2883150577545166,
0.0701756626367569,
0.34780314564704895,
-0.2279077172279358,
0.014586657285690308,
-0.19920094311237335,
-0.1821100115776062,
-0.3068374693393707,
0.33475157618522644,
-0.06750871241092682,
0.12765027582645416,
-0.025997038930654526,
0.21559080481529236,
-0.07443264871835709,
0.2593861520290375,
-0.3228650987148285,
-0.04293421283364296,
-0.02249479852616787,
0.07561125606298447,
-0.10007336735725403,
-0.12442184239625931,
0.09797804802656174,
0.09842175245285034,
0.14725002646446228,
0.12966051697731018,
-0.3589875102043152,
-0.2738024890422821,
-0.02206369861960411,
0.11938424408435822,
0.02181496098637581,
-0.23054175078868866,
-0.024568961933255196,
-0.3880217671394348,
-0.3245268762111664,
-0.17464731633663177,
0.10038861632347107,
-0.1464446485042572,
-0.291619211435318,
0.059871856123209,
-0.11217328161001205,
0.27732640504837036,
-0.09360291063785553,
0.008463822305202484,
-0.17180182039737701,
0.2840944528579712,
-0.06256347894668579,
0.1911996603012085,
0.1374155431985855,
-0.07968724519014359,
-0.38825055956840515,
-0.13485835492610931,
0.12812569737434387,
-0.10049517452716827,
-0.0008417729986831546,
-0.3645169138908386,
-0.08045923709869385,
-0.20343394577503204,
0.09064158797264099,
0.24003998935222626,
-0.2507553696632385,
0.03492068126797676,
0.2132696509361267,
0.20128333568572998,
-0.12772296369075775,
-0.10396546870470047,
0.19983313977718353,
0.023196766152977943,
0.061839260160923004,
0.12107637524604797,
-0.021087413653731346,
0.16453807055950165,
-0.10702791064977646,
0.015114977955818176,
0.051866959780454636,
-0.5421461462974548,
-0.2646961808204651,
0.32220467925071716,
-0.15680605173110962,
-0.03405848145484924,
-0.0866410955786705,
0.13565951585769653,
0.12472379952669144,
0.2581654489040375,
0.318068265914917,
0.23370763659477234,
-0.07991089671850204,
-0.07542397826910019,
-0.1047290563583374,
-0.36424413323402405,
-0.40943652391433716,
0.41810232400894165,
-0.13466966152191162,
0.5021535754203796,
-0.2514804005622864,
0.02721542678773403,
0.119999960064888,
-0.2684732973575592,
-0.17018377780914307,
0.305292010307312,
-0.21323716640472412,
-0.011488892138004303,
-0.24748295545578003,
0.0629415437579155,
-0.11182516068220139,
0.2272561490535736,
-0.06825169175863266,
-0.19298410415649414,
-0.18089869618415833,
0.29027432203292847,
0.0493139773607254,
0.1948872059583664,
0.07147729396820068,
0.1825227588415146,
0.2388373613357544,
-0.12766538560390472,
0.23899801075458527,
-0.227150097489357,
-0.09096414595842361,
-0.4048541188240051,
0.02497979998588562,
0.10322364419698715,
0.3352166712284088,
-0.3399098515510559,
0.12908825278282166,
0.09992969036102295,
-0.10254424810409546,
-0.06795168668031693,
0.23784439265727997,
0.2075456827878952,
0.1221882775425911,
0.29464420676231384,
0.0724024698138237,
-0.12988561391830444,
0.14953717589378357,
0.19643688201904297,
0.1768037974834442,
-0.46683019399642944,
0.49007338285446167,
0.1949758380651474,
-0.020242204889655113,
-0.1069500520825386,
0.14637622237205505,
-0.18310898542404175,
-0.0890938863158226,
0.5219664573669434,
-0.24887971580028534,
0.04972735419869423,
-0.08820942044258118,
0.07930823415517807,
-0.22433096170425415,
0.693946123123169,
0.033031169325113297,
0.4624565839767456,
-0.15681688487529755,
0.010074657388031483,
-0.48593637347221375,
0.09705610573291779,
-0.19249588251113892,
0.1519232839345932,
0.24726253747940063,
0.33283060789108276,
0.10673568397760391,
0.18085801601409912,
-0.43699467182159424,
-0.1848956048488617,
-0.05393637716770172,
0.11275415122509003,
-0.20269343256950378,
-0.0650595873594284,
-0.5096164345741272,
0.11405090987682343,
-0.07576990127563477,
-0.4709778428077698,
0.11253862082958221,
-0.43344566226005554,
0.056311171501874924,
-0.09103833138942719,
0.27836525440216064,
0.28070709109306335,
0.41367268562316895,
0.33369943499565125,
-0.041489873081445694,
-0.04722544550895691,
-0.019792117178440094,
-0.10569372028112411,
-0.12665586173534393,
0.023456741124391556,
-0.34460657835006714,
-0.07571838051080704,
-0.05020656809210777,
0.21800051629543304,
-0.23613139986991882,
-0.03747343271970749,
-0.23950158059597015,
-0.2059686928987503,
0.09328244626522064,
-0.11421532928943634,
-0.09886130690574646,
0.11413324624300003,
-0.1716417670249939,
0.18321624398231506,
0.1843811273574829,
0.4326111376285553,
-0.09274666756391525,
-0.056560780853033066,
-0.27200257778167725,
-0.037574879825115204,
0.46004125475883484,
-0.5970892310142517,
-0.2347230464220047,
0.09746205806732178,
-0.06007571518421173,
0.22572462260723114,
0.04289274662733078,
-0.29877734184265137,
-0.15917865931987762,
0.2910028398036957,
-0.13124839961528778,
-0.24028590321540833,
0.2773433327674866,
0.3229186534881592,
-0.08262793719768524,
-0.08083834499120712,
0.2904898226261139,
-0.06068572402000427,
-0.39346352219581604,
-0.1542896330356598,
-0.4548880159854889
] |
https://github.com/huggingface/datasets/issues/193 | [Tensorflow] Use something else than `from_tensor_slices()` | I'm using TF2.2
Here is my code :
```
import nlp
from transformers import BartTokenizer
tokenizer = BartTokenizer.from_pretrained('bart-large')
def encode(sample):
article_inputs = tokenizer.encode_plus(sample["article"], max_length=tokenizer.model_max_length, pad_to_max_length=True)
summary_inputs = tokenizer.encode_plus(sample["highlights"], max_length=tokenizer.model_max_length, pad_to_max_length=True)
article_inputs.update({"lm_labels": summary_inputs['input_ids']})
return article_inputs
cnn_dm = nlp.load_dataset('cnn_dailymail', '3.0.0', split='test')
cnn_dm = cnn_dm.map(encode)
def gen():
for sample in cnn_dm:
s = {}
s['input_ids'] = sample['input_ids']
s['attention_mask'] = sample['attention_mask']
s['lm_labels'] = sample['lm_labels']
yield s
dataset = tf.data.Dataset.from_generator(gen, output_types={k: tf.int32 for k in ['input_ids', 'attention_mask', 'lm_labels']}, output_shapes={k: tf.TensorShape([tokenizer.model_max_length]) for k in ['input_ids', 'attention_mask', 'lm_labels']}
``` | In the example notebook, the TF Dataset is built using `from_tensor_slices()` :
```python
columns = ['input_ids', 'token_type_ids', 'attention_mask', 'start_positions', 'end_positions']
train_tf_dataset.set_format(type='tensorflow', columns=columns)
features = {x: train_tf_dataset[x] for x in columns[:3]}
labels = {"output_1": train_tf_dataset["start_positions"]}
labels["output_2"] = train_tf_dataset["end_positions"]
tfdataset = tf.data.Dataset.from_tensor_slices((features, labels)).batch(8)
```
But according to [official tensorflow documentation](https://www.tensorflow.org/guide/data#consuming_numpy_arrays), this will load the entire dataset to memory.
**This defeats one purpose of this library, which is lazy loading.**
Is there any other way to load the `nlp` dataset into TF dataset lazily ?
---
For example, is it possible to use [Arrow dataset](https://www.tensorflow.org/io/api_docs/python/tfio/arrow/ArrowDataset) ? If yes, is there any code example ? | 82 | [Tensorflow] Use something else than `from_tensor_slices()`
In the example notebook, the TF Dataset is built using `from_tensor_slices()` :
```python
columns = ['input_ids', 'token_type_ids', 'attention_mask', 'start_positions', 'end_positions']
train_tf_dataset.set_format(type='tensorflow', columns=columns)
features = {x: train_tf_dataset[x] for x in columns[:3]}
labels = {"output_1": train_tf_dataset["start_positions"]}
labels["output_2"] = train_tf_dataset["end_positions"]
tfdataset = tf.data.Dataset.from_tensor_slices((features, labels)).batch(8)
```
But according to [official tensorflow documentation](https://www.tensorflow.org/guide/data#consuming_numpy_arrays), this will load the entire dataset to memory.
**This defeats one purpose of this library, which is lazy loading.**
Is there any other way to load the `nlp` dataset into TF dataset lazily ?
---
For example, is it possible to use [Arrow dataset](https://www.tensorflow.org/io/api_docs/python/tfio/arrow/ArrowDataset) ? If yes, is there any code example ?
I'm using TF2.2
Here is my code :
```
import nlp
from transformers import BartTokenizer
tokenizer = BartTokenizer.from_pretrained('bart-large')
def encode(sample):
article_inputs = tokenizer.encode_plus(sample["article"], max_length=tokenizer.model_max_length, pad_to_max_length=True)
summary_inputs = tokenizer.encode_plus(sample["highlights"], max_length=tokenizer.model_max_length, pad_to_max_length=True)
article_inputs.update({"lm_labels": summary_inputs['input_ids']})
return article_inputs
cnn_dm = nlp.load_dataset('cnn_dailymail', '3.0.0', split='test')
cnn_dm = cnn_dm.map(encode)
def gen():
for sample in cnn_dm:
s = {}
s['input_ids'] = sample['input_ids']
s['attention_mask'] = sample['attention_mask']
s['lm_labels'] = sample['lm_labels']
yield s
dataset = tf.data.Dataset.from_generator(gen, output_types={k: tf.int32 for k in ['input_ids', 'attention_mask', 'lm_labels']}, output_shapes={k: tf.TensorShape([tokenizer.model_max_length]) for k in ['input_ids', 'attention_mask', 'lm_labels']}
``` | [
-0.1217658668756485,
-0.025931330397725105,
0.04709159582853317,
0.1898200362920761,
0.198004350066185,
0.15442733466625214,
0.24837516248226166,
0.45679765939712524,
-0.0371507853269577,
-0.05661466717720032,
-0.14168518781661987,
0.6093762516975403,
-0.18237659335136414,
-0.03136470913887024,
0.2451843023300171,
-0.1602427065372467,
-0.05153365805745125,
0.21017992496490479,
-0.08378042280673981,
-0.0511188842356205,
0.041434887796640396,
-0.10304678976535797,
-0.11337538063526154,
-0.08961909264326096,
-0.08411501348018646,
0.03781047835946083,
0.02680441364645958,
-0.15933330357074738,
0.4063454568386078,
-0.015847502276301384,
0.3480536937713623,
0.035481035709381104,
-0.061999645084142685,
0.10191045701503754,
-0.00011394677858334035,
0.38300827145576477,
0.03163405880331993,
-0.16971956193447113,
0.0051156398840248585,
-0.04868374764919281,
0.1872231513261795,
-0.22094693779945374,
0.24761827290058136,
-0.2797366976737976,
0.022960418835282326,
-0.043305639177560806,
0.22824761271476746,
0.021492211148142815,
0.2741084694862366,
0.056343816220760345,
0.11358030885457993,
0.46258437633514404,
-0.22616249322891235,
0.36655694246292114,
0.15347038209438324,
-0.10670565068721771,
-0.13823117315769196,
-0.27631357312202454,
-0.21094068884849548,
0.04131274297833443,
0.046295154839754105,
0.2148602306842804,
-0.2967180907726288,
0.10010848194360733,
0.4883717894554138,
0.134610116481781,
-0.11587438732385635,
-0.29013505578041077,
-0.20416900515556335,
0.35375380516052246,
0.19012628495693207,
-0.07160356640815735,
-0.17686021327972412,
-0.5691714882850647,
-0.23419807851314545,
-0.2198171466588974,
-0.21410535275936127,
0.04874308779835701,
-0.18753649294376373,
0.1386621594429016,
-0.21671608090400696,
-0.0914962962269783,
-0.19212760031223297,
0.16961531341075897,
0.17300373315811157,
0.08846854418516159,
0.1593903750181198,
0.15273478627204895,
0.1636829674243927,
0.040270108729600906,
0.276839017868042,
-0.011179623194038868,
0.2941535711288452,
0.4132716655731201,
-0.3397204279899597,
-0.0049698976799845695,
0.14997687935829163,
-0.5529500246047974,
-0.002599742729216814,
-0.21910324692726135,
0.31478551030158997,
0.21479780972003937,
-0.25013092160224915,
0.17884483933448792,
-0.006410614121705294,
-0.06401248276233673,
-0.3965282440185547,
0.14390507340431213,
-0.17764891684055328,
-0.5946305394172668,
0.0709008276462555,
0.025447657331824303,
-0.29087886214256287,
0.09226302802562714,
0.05414406210184097,
-0.5405900478363037,
-0.09034091234207153,
0.22742724418640137,
-0.3082316219806671,
-0.45655444264411926,
-0.24953961372375488,
0.03222231566905975,
0.028258729726076126,
0.26590296626091003,
-0.17248490452766418,
0.49490591883659363,
0.046801015734672546,
-0.12600670754909515,
-0.235796719789505,
0.07146377861499786,
-0.20548029243946075,
0.08548394590616226,
-0.05327322706580162,
-0.09084247052669525,
0.18941907584667206,
-0.04464948922395706,
0.23619937896728516,
-0.18066535890102386,
-0.15809693932533264,
0.16095097362995148,
0.25847092270851135,
-0.09254162758588791,
0.07164032757282257,
0.2176818549633026,
-0.014463166706264019,
0.061746373772621155,
0.047353923320770264,
0.1133970394730568,
-0.23381264507770538,
0.3567086458206177,
-0.5510231852531433,
-0.22753320634365082,
-0.004840495530515909,
0.08490922302007675,
0.10352467745542526,
-0.23398105800151825,
-0.3640972673892975,
0.3549087941646576,
0.10241913050413132,
-0.12468891590833664,
-0.14371740818023682,
-0.14855578541755676,
-0.4110410511493683,
-0.2633945941925049,
0.28865382075309753,
0.11818340420722961,
-0.3723021447658539,
-0.1996259093284607,
0.013991568237543106,
0.039289262145757675,
0.21835826337337494,
0.4440423250198364,
-0.2287718504667282,
0.4910319149494171,
-0.06854376941919327,
0.17658226191997528,
0.7466111183166504,
-0.16834159195423126,
-0.21639315783977509,
0.2665836811065674,
-0.10920905321836472,
0.20277419686317444,
0.007078719325363636,
0.48750039935112,
0.055612411350011826,
-0.028245238587260246,
0.3278442919254303,
0.6070600152015686,
-0.11004310101270676,
0.09091220796108246,
-0.06263861805200577,
-0.3540174663066864,
0.38336822390556335,
0.22360169887542725,
0.049433767795562744,
-0.08908886462450027,
-0.24513199925422668,
0.4838311970233917,
0.15792743861675262,
0.00607340456917882,
-0.182203009724617,
0.13027849793434143,
-0.18597283959388733,
0.005775886122137308,
-0.22100558876991272,
0.04396410286426544,
-0.6262143850326538,
0.29450780153274536,
0.2898073196411133,
0.019801784306764603,
0.22485041618347168,
-0.1320509910583496,
0.30463334918022156,
0.08697132766246796,
0.05847438797354698,
0.1558161824941635,
-0.036375753581523895,
0.15324489772319794,
-0.008287030272185802,
-0.05614372715353966,
-0.33982768654823303,
0.2135782092809677,
-0.35561296343803406,
-0.0859224796295166,
-0.28733837604522705,
0.2686130106449127,
0.44628220796585083,
0.006337897852063179,
-0.13960523903369904,
0.2558361887931824,
-0.23948167264461517,
-0.0909075066447258,
0.09431453049182892,
0.22145701944828033,
-0.037428561598062515,
0.31023043394088745,
-0.6426630616188049,
0.517551839351654,
-0.00729947118088603,
-0.05198514461517334,
-0.03803340718150139,
0.15125638246536255,
0.04083877429366112,
-0.22987142205238342,
-0.04504171386361122,
0.20381353795528412,
-0.1811840683221817,
0.25211265683174133,
0.22757047414779663,
-0.2973989248275757,
0.0864400863647461,
0.09497027099132538,
0.14749138057231903,
-0.10604090988636017,
0.3818446695804596,
0.08208683133125305,
0.25895917415618896,
0.29437336325645447,
-0.4201221764087677,
0.20113877952098846,
0.5873510837554932,
-0.03383931890130043,
-0.08823513984680176,
0.24291597306728363,
-0.08980366587638855,
-0.21951782703399658,
-0.04968223720788956,
-0.15792830288410187,
0.23874761164188385,
0.15569519996643066,
0.04756329581141472,
-0.018360352143645287,
-0.08513443917036057,
-0.18957826495170593,
0.23301106691360474,
0.13817870616912842,
0.34429123997688293,
-0.10489462316036224,
0.07945554703474045,
0.24394972622394562,
-0.2006930410861969,
0.12063613533973694,
0.2041323184967041,
0.16148746013641357,
-0.18216603994369507,
0.02087452821433544,
-0.274058997631073,
-0.323343962430954,
-0.06881626695394516,
-0.015634533017873764,
0.11983688175678253,
-0.1766929179430008,
-0.08395581692457199,
0.35642510652542114,
0.03898758068680763,
-0.026909351348876953,
-0.1203833818435669,
0.30149045586586,
0.1829601377248764,
-0.4852122366428375,
-0.14093254506587982,
-0.07228980213403702,
-0.18762874603271484,
0.012351211160421371,
0.34143123030662537,
0.24763703346252441,
0.21397224068641663,
0.11561937630176544,
-0.10640077292919159,
0.09337663650512695,
-0.13714541494846344,
0.22248069941997528,
-0.1411900520324707,
0.07441695034503937,
-0.09138822555541992,
0.08587653189897537,
-0.13170845806598663,
-0.23741286993026733,
-0.13842542469501495,
-0.4001227915287018,
0.015284137800335884,
0.17810235917568207,
0.04398329183459282,
0.1407824456691742,
-0.17305488884449005,
-0.0541105642914772,
-0.31138163805007935,
-0.36805543303489685,
0.025136662647128105,
0.16438336670398712,
0.26305413246154785,
0.426656574010849,
-0.09771568328142166,
0.28752386569976807,
0.2841942608356476,
0.05660080909729004,
0.08437559753656387,
-0.0591103695333004,
0.5510885119438171,
-0.21195611357688904,
-0.20756588876247406,
-0.19724544882774353,
-0.16827771067619324,
0.12386772036552429,
0.287994921207428,
-0.7350274920463562,
0.25820639729499817,
-0.1476229876279831,
0.05228998884558678,
-0.13607294857501984,
-0.04323436692357063,
0.30103906989097595,
-0.24622775614261627,
0.057981930673122406,
-0.019213825464248657,
0.04298059269785881,
0.0740940049290657,
0.01504224818199873,
-0.21246114373207092,
0.28354498744010925,
0.4253312647342682,
0.3563779890537262,
0.8198500275611877,
-0.08152435719966888,
-0.19571244716644287,
0.2159968614578247,
-0.24318481981754303,
0.204217329621315,
-0.21248508989810944,
-0.07977601885795593,
0.07321752607822418,
0.014921271242201328,
-0.019207274541258812,
0.30555540323257446,
-0.12085390836000443,
-0.23511408269405365,
-0.06570623070001602,
0.16245514154434204,
0.07112377882003784,
-0.18955527245998383,
0.25377798080444336,
-0.23828238248825073,
0.12286172062158585,
0.14369402825832367,
0.22716517746448517,
-0.39819401502609253,
-0.5145754218101501,
-0.05292618274688721,
-0.19155701994895935,
0.3439481854438782,
-0.038793157786130905,
-0.4047642946243286,
0.18230682611465454,
-0.7144542932510376,
0.13730929791927338,
0.056387197226285934,
0.33463820815086365,
0.10766397416591644,
-0.2996101677417755,
0.02328980714082718,
0.07969038188457489,
0.6119206547737122,
0.16484808921813965,
-0.07098272442817688,
0.17361602187156677,
-0.15104812383651733,
-0.5380699038505554,
0.012871168553829193,
-0.051564816385507584,
0.037138599902391434,
0.274997353553772,
0.159707173705101,
-0.3015442192554474,
-0.5077012777328491,
-0.04973502457141876,
0.006743426900357008,
-0.352834552526474,
-0.06369978934526443,
-0.22928285598754883,
-0.15957185626029968,
-0.03656740114092827,
-0.3108157813549042,
0.07019105553627014,
0.23305240273475647,
-0.05486323684453964,
0.03534510359168053,
-0.2360270768404007,
-0.07313350588083267,
0.2959994375705719,
-0.007531976792961359,
0.17190705239772797,
0.5554139614105225,
0.068697988986969,
-0.05782302841544151,
0.02807164378464222,
-0.22288253903388977,
0.22437617182731628,
-0.0465519018471241,
-0.1779031902551651,
0.020541228353977203,
0.139253631234169,
0.42129504680633545,
0.09153509140014648,
0.0426737442612648,
0.17796486616134644,
-0.1819620579481125,
0.026481661945581436,
-0.2325233370065689,
0.4516885578632355,
0.10564064234495163,
-0.28788378834724426,
-0.1127607673406601,
-0.4171384274959564,
0.5051946043968201,
0.26663675904273987,
0.09778330475091934,
0.4054187536239624,
-0.1845550537109375,
-0.37959757447242737,
0.47471266984939575,
0.36818748712539673,
0.5930817127227783,
-0.3568761944770813,
0.5228302478790283,
0.6306702494621277,
0.5135160088539124,
0.9229065775871277,
-0.36990782618522644,
0.25785931944847107,
-0.10761364549398422,
-0.2891256809234619,
-0.034149255603551865,
-0.27011382579803467,
-0.36774131655693054,
0.09762505441904068,
0.1489039957523346,
0.2554051876068115,
0.05960842967033386,
0.32816022634506226,
0.22872576117515564,
0.4213234484195709,
0.4004007577896118,
-0.41907864809036255,
-0.13934682309627533,
0.04883745685219765,
-0.00046828846097923815,
-0.19989678263664246,
-0.08649653941392899,
-0.1306753158569336,
0.22034864127635956,
-0.03784703090786934,
-0.06312455981969833,
0.09271613508462906,
-0.19131869077682495,
0.273310124874115,
0.0886058434844017,
-0.022878464311361313,
-0.030651910230517387,
0.23595966398715973,
0.0516061969101429,
-0.16254620254039764,
-0.07398103922605515,
-0.07821504026651382,
0.020682044327259064,
0.012832365930080414,
0.13242118060588837,
-0.07321570068597794,
0.5777004957199097,
-0.003746628761291504,
0.23270945250988007,
0.20195771753787994,
-0.07018738240003586,
-0.6475855112075806,
-0.2420331984758377,
-0.0774635523557663,
0.1646004617214203,
0.12083633244037628,
-0.574008047580719,
0.2775152921676636,
-0.21643990278244019,
0.20163758099079132,
0.04024408757686615,
0.05791177973151207,
-0.18905116617679596,
0.05720091238617897,
0.08815090358257294,
-0.2242264300584793,
0.23804381489753723,
0.07987481355667114,
0.0802137479186058,
0.00434208195656538,
0.40031349658966064,
0.09414923191070557,
0.026445019990205765,
0.0004958930076099932,
0.14066679775714874,
0.31898966431617737,
-0.053173381835222244,
-0.0355193130671978,
-0.032099220901727676,
0.22842785716056824,
-0.002215232467278838,
0.31702837347984314,
-0.22109848260879517,
0.04519467055797577,
-0.32712388038635254,
-0.22691558301448822,
-0.27978140115737915,
0.40974029898643494,
-0.03227900713682175,
0.17035353183746338,
-0.02966219186782837,
0.23653832077980042,
-0.2120736688375473,
0.25990116596221924,
-0.19452986121177673,
-0.0003527412482071668,
0.05574426054954529,
0.0645964965224266,
-0.20630165934562683,
-0.03718273714184761,
0.08591114729642868,
0.14745460450649261,
0.029787026345729828,
0.145842045545578,
-0.2863140404224396,
-0.16016770899295807,
-0.05519567057490349,
0.21042372286319733,
0.06890018284320831,
-0.18370740115642548,
-0.07681222259998322,
-0.3510492146015167,
-0.3054195046424866,
-0.21098506450653076,
0.07133498787879944,
-0.11096139997243881,
-0.25265032052993774,
-0.017708519473671913,
-0.016698475927114487,
0.30331170558929443,
-0.18731622397899628,
0.05895800143480301,
-0.03881028667092323,
0.32052183151245117,
-0.06789502501487732,
0.2631840109825134,
0.17212112247943878,
-0.016810934990644455,
-0.3609752655029297,
-0.11104509234428406,
0.2617635130882263,
-0.12928369641304016,
-0.019321288913488388,
-0.35425958037376404,
-0.028004668653011322,
-0.24651026725769043,
0.019433265551924706,
0.381717324256897,
-0.2598596513271332,
0.0119019141420722,
0.2552919387817383,
0.07606125622987747,
-0.06930886954069138,
-0.1370902806520462,
0.28984591364860535,
0.01564158871769905,
-0.01702932082116604,
0.21574896574020386,
0.019055670127272606,
0.23018820583820343,
-0.07639665901660919,
-0.059450648725032806,
0.050926804542541504,
-0.45812997221946716,
-0.2483103722333908,
0.34422567486763,
-0.14797449111938477,
-0.044531796127557755,
-0.15660017728805542,
0.15954932570457458,
0.15881988406181335,
0.2009689062833786,
0.2688860595226288,
0.2720526456832886,
-0.1309787482023239,
-0.08041998744010925,
-0.10907331109046936,
-0.2988508343696594,
-0.4159930646419525,
0.4332540035247803,
-0.03094954416155815,
0.5543481111526489,
-0.30145910382270813,
-0.04428989067673683,
0.21874752640724182,
-0.28898385167121887,
-0.14263573288917542,
0.2879599630832672,
-0.12157328426837921,
-0.09826479852199554,
-0.184583380818367,
0.06264065951108932,
-0.21620088815689087,
0.2093064934015274,
-0.1255277395248413,
-0.24214628338813782,
-0.18847402930259705,
0.28286218643188477,
0.1213042214512825,
0.14187593758106232,
0.03304439038038254,
0.139256089925766,
0.26242390275001526,
-0.16843979060649872,
0.28532472252845764,
-0.303865909576416,
-0.02345472201704979,
-0.30802327394485474,
0.05243302136659622,
0.030013376846909523,
0.32330068945884705,
-0.3477114737033844,
0.13549581170082092,
0.07323861122131348,
-0.05230730399489403,
-0.02184964530169964,
0.2548745274543762,
0.21410450339317322,
0.11187884211540222,
0.2443319857120514,
-0.047419473528862,
-0.0380629263818264,
0.15545962750911713,
0.13566064834594727,
0.10434849560260773,
-0.6335430145263672,
0.5223556756973267,
0.2589552104473114,
-0.034853219985961914,
0.0482245534658432,
0.23610079288482666,
-0.17642280459403992,
-0.1175670474767685,
0.49291667342185974,
-0.26624637842178345,
0.07922790199518204,
0.08962046355009079,
0.023243896663188934,
-0.23603728413581848,
0.6891624331474304,
0.0156595166772604,
0.5115364789962769,
-0.1294793039560318,
0.08085687458515167,
-0.48336246609687805,
0.04604009538888931,
-0.13137975335121155,
0.1344795525074005,
0.24390113353729248,
0.28714635968208313,
0.15486234426498413,
0.21748192608356476,
-0.37715452909469604,
-0.29307103157043457,
-0.07903575897216797,
0.005898837931454182,
-0.12049239128828049,
-0.09162572026252747,
-0.4695660471916199,
0.20530156791210175,
-0.06458131968975067,
-0.48753663897514343,
0.053547147661447525,
-0.3142370581626892,
-0.10486918687820435,
-0.06824883818626404,
0.20545029640197754,
0.27082696557044983,
0.3716530501842499,
0.32452285289764404,
-0.05926663056015968,
0.0022980268113315105,
0.062266673892736435,
-0.10009386390447617,
-0.13290560245513916,
-0.02840886078774929,
-0.3497494161128998,
-0.08344747871160507,
-0.16258354485034943,
0.1681801974773407,
-0.33418476581573486,
0.01335954014211893,
-0.2161337435245514,
-0.32348838448524475,
0.05041749030351639,
-0.20108459889888763,
-0.14042317867279053,
0.09030690044164658,
-0.30964699387550354,
0.31978514790534973,
0.13747571408748627,
0.4710557162761688,
-0.13151848316192627,
-0.03896171972155571,
-0.19754283130168915,
0.1254427582025528,
0.4762638509273529,
-0.6969993114471436,
-0.1845293641090393,
0.08059677481651306,
-0.13366742432117462,
0.28647273778915405,
0.08193077147006989,
-0.3468104600906372,
-0.2159188687801361,
0.3673853278160095,
-0.06303614377975464,
-0.21892155706882477,
0.23914073407649994,
0.3046945631504059,
-0.10874563455581665,
-0.11808701604604721,
0.3073832392692566,
-0.08267579972743988,
-0.3657679855823517,
-0.19985389709472656,
-0.5045337677001953
] |
https://github.com/huggingface/datasets/issues/193 | [Tensorflow] Use something else than `from_tensor_slices()` | Apparently we'll have to wait for the next tensorflow release to use `.from_generator` and TPU. See https://github.com/tensorflow/tensorflow/issues/34346#issuecomment-598262489 | In the example notebook, the TF Dataset is built using `from_tensor_slices()` :
```python
columns = ['input_ids', 'token_type_ids', 'attention_mask', 'start_positions', 'end_positions']
train_tf_dataset.set_format(type='tensorflow', columns=columns)
features = {x: train_tf_dataset[x] for x in columns[:3]}
labels = {"output_1": train_tf_dataset["start_positions"]}
labels["output_2"] = train_tf_dataset["end_positions"]
tfdataset = tf.data.Dataset.from_tensor_slices((features, labels)).batch(8)
```
But according to [official tensorflow documentation](https://www.tensorflow.org/guide/data#consuming_numpy_arrays), this will load the entire dataset to memory.
**This defeats one purpose of this library, which is lazy loading.**
Is there any other way to load the `nlp` dataset into TF dataset lazily ?
---
For example, is it possible to use [Arrow dataset](https://www.tensorflow.org/io/api_docs/python/tfio/arrow/ArrowDataset) ? If yes, is there any code example ? | 17 | [Tensorflow] Use something else than `from_tensor_slices()`
In the example notebook, the TF Dataset is built using `from_tensor_slices()` :
```python
columns = ['input_ids', 'token_type_ids', 'attention_mask', 'start_positions', 'end_positions']
train_tf_dataset.set_format(type='tensorflow', columns=columns)
features = {x: train_tf_dataset[x] for x in columns[:3]}
labels = {"output_1": train_tf_dataset["start_positions"]}
labels["output_2"] = train_tf_dataset["end_positions"]
tfdataset = tf.data.Dataset.from_tensor_slices((features, labels)).batch(8)
```
But according to [official tensorflow documentation](https://www.tensorflow.org/guide/data#consuming_numpy_arrays), this will load the entire dataset to memory.
**This defeats one purpose of this library, which is lazy loading.**
Is there any other way to load the `nlp` dataset into TF dataset lazily ?
---
For example, is it possible to use [Arrow dataset](https://www.tensorflow.org/io/api_docs/python/tfio/arrow/ArrowDataset) ? If yes, is there any code example ?
Apparently we'll have to wait for the next tensorflow release to use `.from_generator` and TPU. See https://github.com/tensorflow/tensorflow/issues/34346#issuecomment-598262489 | [
-0.1305493712425232,
-0.03085951879620552,
0.036304667592048645,
0.12274178862571716,
0.22812119126319885,
0.09177538007497787,
0.27305594086647034,
0.40658968687057495,
-0.11111819744110107,
0.002790682017803192,
-0.08880793303251266,
0.5513768792152405,
-0.15211956202983856,
0.04721105843782425,
0.31960758566856384,
-0.26276513934135437,
-0.06650439649820328,
0.24885842204093933,
-0.12980660796165466,
-0.01431279070675373,
-0.04055076092481613,
-0.05323105305433273,
-0.0955614447593689,
-0.016440225765109062,
0.01506031770259142,
-0.033535413444042206,
0.05115019530057907,
-0.15202926099300385,
0.4169294536113739,
0.021076835691928864,
0.35533636808395386,
0.0021881412249058485,
-0.03409401699900627,
0.11226992309093475,
-0.00010922730143647641,
0.3845246136188507,
0.03214544430375099,
-0.149605855345726,
0.06209913268685341,
-0.0740661695599556,
0.20812687277793884,
-0.22736473381519318,
0.1988501250743866,
-0.2661622166633606,
-0.04680860787630081,
-0.005251426249742508,
0.23685558140277863,
-0.03428541496396065,
0.2574252188205719,
0.11936879903078079,
0.15609553456306458,
0.5252823233604431,
-0.1733795702457428,
0.27862754464149475,
0.1325305998325348,
-0.15955999493598938,
-0.21689757704734802,
-0.27933114767074585,
-0.13236476480960846,
-0.010954819619655609,
0.0657457709312439,
0.14796733856201172,
-0.22829338908195496,
0.09629976749420166,
0.43259796500205994,
0.15464533865451813,
-0.11124931275844574,
-0.3790851831436157,
-0.2610156536102295,
0.4085840582847595,
0.20153601467609406,
-0.07298071682453156,
-0.1770700216293335,
-0.48519688844680786,
-0.1757752150297165,
-0.2934434115886688,
-0.1783647984266281,
0.08686342090368271,
-0.26259544491767883,
0.18190962076187134,
-0.10118100792169571,
-0.12041499465703964,
-0.21891914308071136,
0.12010456621646881,
0.2120119035243988,
-0.035575803369283676,
0.1604188233613968,
0.11686224490404129,
0.22441333532333374,
0.10827670246362686,
0.34945395588874817,
0.08066081255674362,
0.3548700213432312,
0.36756521463394165,
-0.2840500473976135,
-0.011490941047668457,
0.16927216947078705,
-0.5806720852851868,
-0.04443413019180298,
-0.25259608030319214,
0.35710760951042175,
0.1853385865688324,
-0.29192689061164856,
0.2165091633796692,
-0.013307205401360989,
-0.07356627285480499,
-0.4224953353404999,
0.13194559514522552,
-0.13990896940231323,
-0.5050939917564392,
0.047027718275785446,
0.046306464821100235,
-0.22082176804542542,
-0.01992824859917164,
0.060598503798246384,
-0.5112510919570923,
-0.14770346879959106,
0.26907333731651306,
-0.2849743664264679,
-0.44184058904647827,
-0.23016850650310516,
0.028392812237143517,
-0.014332825317978859,
0.17374660074710846,
-0.1279168277978897,
0.5364347696304321,
0.13731777667999268,
-0.12483660876750946,
-0.28134119510650635,
-0.02957746386528015,
-0.2323073148727417,
0.11308934539556503,
-0.061465196311473846,
-0.09602817893028259,
0.15568828582763672,
-0.16067323088645935,
0.17979362607002258,
-0.12268897891044617,
-0.12777145206928253,
0.18162094056606293,
0.2595539391040802,
-0.08195042610168457,
0.10017484426498413,
0.2579144537448883,
0.014886037446558475,
-0.06456991285085678,
0.038228459656238556,
0.074913889169693,
-0.21613110601902008,
0.35391765832901,
-0.5225846767425537,
-0.28902262449264526,
-0.04879627376794815,
0.13496723771095276,
0.0877804383635521,
-0.21369042992591858,
-0.33316704630851746,
0.32619601488113403,
0.12096328288316727,
-0.11928132176399231,
-0.1852191835641861,
-0.207504540681839,
-0.42386922240257263,
-0.30116698145866394,
0.3041066527366638,
0.040642816573381424,
-0.46133407950401306,
-0.11523377895355225,
0.006507989019155502,
-0.01659257896244526,
0.2493128776550293,
0.44560661911964417,
-0.23294784128665924,
0.4801921546459198,
-0.05343633517622948,
0.0012754063354805112,
0.7598662972450256,
-0.08542132377624512,
-0.16154193878173828,
0.22563143074512482,
-0.12333789467811584,
0.20281286537647247,
-0.004924764856696129,
0.40537551045417786,
0.0003449503274168819,
-0.029118746519088745,
0.38686397671699524,
0.6318569183349609,
-0.15841363370418549,
0.07676459103822708,
-0.10929101705551147,
-0.3459326922893524,
0.30011430382728577,
0.279721200466156,
0.09528962522745132,
-0.05658266693353653,
-0.26506099104881287,
0.3954327702522278,
0.13062460720539093,
-0.03432202339172363,
-0.18207469582557678,
0.06700441241264343,
-0.12869009375572205,
0.0004337819991633296,
-0.1707858443260193,
0.06576748192310333,
-0.6022963523864746,
0.2533167004585266,
0.19127778708934784,
0.09608181565999985,
0.18939775228500366,
-0.11190406233072281,
0.36263182759284973,
0.10908019542694092,
0.11826259642839432,
0.15904958546161652,
0.019095033407211304,
0.07548099756240845,
-0.028345534577965736,
-0.011725767515599728,
-0.3443223834037781,
0.15897108614444733,
-0.375440776348114,
-0.12695854902267456,
-0.34896767139434814,
0.26449716091156006,
0.37324249744415283,
0.017966564744710922,
-0.08456011861562729,
0.3013327419757843,
-0.3664577007293701,
-0.12099885940551758,
0.11764302849769592,
0.21522849798202515,
-0.030569637194275856,
0.29321420192718506,
-0.6672236323356628,
0.44242262840270996,
0.051598936319351196,
-0.02275564894080162,
-0.10921371728181839,
0.12416078895330429,
0.002570967422798276,
-0.19744892418384552,
0.010840136557817459,
0.28054279088974,
-0.22586120665073395,
0.14711356163024902,
0.2610127031803131,
-0.24422100186347961,
0.15271635353565216,
0.06381198763847351,
0.1342630535364151,
-0.11270689219236374,
0.3706357181072235,
0.09925197064876556,
0.13777044415473938,
0.2951820492744446,
-0.5292934775352478,
0.2312246859073639,
0.6706401705741882,
-0.02219812013208866,
-0.11366341263055801,
0.21687667071819305,
0.0373346209526062,
-0.21183188259601593,
-0.08162252604961395,
-0.0811692625284195,
0.2019302397966385,
0.1457827091217041,
0.04163608327507973,
0.0004892915021628141,
-0.16413991153240204,
-0.25839459896087646,
0.2476223260164261,
0.13116778433322906,
0.3808506429195404,
-0.13959947228431702,
0.030044950544834137,
0.2035277783870697,
-0.1915542334318161,
0.08323947340250015,
0.21064752340316772,
0.17547312378883362,
-0.2056150883436203,
0.03021683543920517,
-0.2745702862739563,
-0.3066863715648651,
-0.08983314782381058,
0.03501923382282257,
0.1440558135509491,
-0.18368211388587952,
-0.04992381110787392,
0.3294695317745209,
-0.049427103251218796,
-0.053616248071193695,
-0.11888307332992554,
0.31492191553115845,
0.16494853794574738,
-0.44491884112358093,
-0.06582368910312653,
-0.10550256073474884,
-0.18507146835327148,
0.09022989869117737,
0.36076778173446655,
0.17744138836860657,
0.24297870695590973,
0.02639407478272915,
-0.08753244578838348,
0.1681308001279831,
-0.07798183709383011,
0.22266918420791626,
-0.11164238303899765,
0.11009341478347778,
-0.04960857704281807,
0.07181588560342789,
-0.12877149879932404,
-0.25889256596565247,
-0.11553186923265457,
-0.43128228187561035,
0.05385304614901543,
0.15509119629859924,
-0.0024250673595815897,
0.14857907593250275,
-0.24266724288463593,
-0.17587347328662872,
-0.3055383563041687,
-0.3943732976913452,
0.018097637221217155,
0.16430525481700897,
0.3020913600921631,
0.42609965801239014,
-0.029929103329777718,
0.2822215259075165,
0.38556861877441406,
0.05240771919488907,
0.0802658274769783,
-0.1383150815963745,
0.4784575402736664,
-0.27619507908821106,
-0.25517183542251587,
-0.15608875453472137,
-0.17423570156097412,
0.1930476427078247,
0.3186536431312561,
-0.7124728560447693,
0.14556314051151276,
-0.08327411860227585,
0.08658672124147415,
-0.08990921825170517,
-0.041092775762081146,
0.23172467947006226,
-0.20331734418869019,
0.020510729402303696,
0.004608663264662027,
0.16507427394390106,
0.14517663419246674,
0.024806609377264977,
-0.20415571331977844,
0.37039095163345337,
0.42371463775634766,
0.33127185702323914,
0.7575734853744507,
-0.08429126441478729,
-0.2142927199602127,
0.23427128791809082,
-0.18224920332431793,
0.19702790677547455,
-0.2328154444694519,
-0.06427564471960068,
0.04293925687670708,
-0.013692923821508884,
-0.005353451706469059,
0.22368411719799042,
-0.100008025765419,
-0.19537709653377533,
-0.11733975261449814,
0.2207116186618805,
0.11836251616477966,
-0.23836800456047058,
0.25822997093200684,
-0.21444033086299896,
0.18313220143318176,
0.11112041026353836,
0.21261031925678253,
-0.3299855589866638,
-0.3997199833393097,
-0.01931050606071949,
-0.23272506892681122,
0.41783609986305237,
-0.04035969451069832,
-0.32866764068603516,
0.10396529734134674,
-0.7131767868995667,
0.06532419472932816,
0.11960644274950027,
0.30858200788497925,
0.08994624763727188,
-0.29901519417762756,
-0.006997276097536087,
0.06775613129138947,
0.54835045337677,
0.09833641350269318,
-0.08745607733726501,
0.20974920690059662,
-0.1773279905319214,
-0.4892937242984772,
0.03407872095704079,
-0.05583788454532623,
-0.07893317937850952,
0.24943692982196808,
0.1401747614145279,
-0.26192647218704224,
-0.491312175989151,
-0.02455650456249714,
-0.0164188202470541,
-0.33952680230140686,
-0.04881987348198891,
-0.18680141866207123,
-0.24344752728939056,
0.001078475615940988,
-0.31565260887145996,
0.05761346220970154,
0.27913495898246765,
-0.1710856556892395,
0.020696090534329414,
-0.15080328285694122,
-0.0014764488441869617,
0.21223410964012146,
0.0035507420543581247,
0.1631869524717331,
0.4632871150970459,
0.047394562512636185,
-0.048913486301898956,
-0.008088097907602787,
-0.1308065801858902,
0.224055215716362,
-0.09222051501274109,
-0.1522686779499054,
0.018758229911327362,
0.15853554010391235,
0.37199580669403076,
0.04845492169260979,
0.03609539568424225,
0.1285245418548584,
-0.17415070533752441,
0.03312743827700615,
-0.19866769015789032,
0.3670531213283539,
0.08676262944936752,
-0.3417379558086395,
-0.08246522396802902,
-0.510940670967102,
0.5615842938423157,
0.2959672212600708,
0.1288377195596695,
0.4830288290977478,
-0.1970454603433609,
-0.36169517040252686,
0.5212911367416382,
0.38263049721717834,
0.5099004507064819,
-0.37036868929862976,
0.5261974930763245,
0.72294020652771,
0.47835981845855713,
0.9239939451217651,
-0.3590678572654724,
0.27109068632125854,
-0.12388866394758224,
-0.35866406559944153,
-0.028797559440135956,
-0.255656361579895,
-0.3750627040863037,
0.07888790965080261,
0.10311441868543625,
0.2167326658964157,
0.13108684122562408,
0.27752771973609924,
0.217911034822464,
0.3121577799320221,
0.3466190695762634,
-0.42222920060157776,
-0.19411925971508026,
0.06759988516569138,
0.02967003546655178,
-0.2340952306985855,
-0.08185143023729324,
-0.19640444219112396,
0.2307492196559906,
0.06485644727945328,
0.020356886088848114,
0.12006030976772308,
-0.18482451140880585,
0.28192639350891113,
0.13958978652954102,
-0.09903112053871155,
0.04047853499650955,
0.24172726273536682,
0.12007810175418854,
-0.20490717887878418,
-0.10917849838733673,
-0.0896356850862503,
0.06531897932291031,
0.010170694440603256,
0.1468190997838974,
-0.0447651632130146,
0.6814290285110474,
-0.021972330287098885,
0.19641423225402832,
0.16399019956588745,
-0.07861150801181793,
-0.5933405756950378,
-0.18238632380962372,
-0.11446291953325272,
0.08533591777086258,
0.1685636043548584,
-0.5447575449943542,
0.2875628173351288,
-0.19816631078720093,
0.18102902173995972,
0.09797942638397217,
0.11959993094205856,
-0.20460988581180573,
0.05496605113148689,
0.05523880943655968,
-0.18702711164951324,
0.22112669050693512,
0.02921549417078495,
0.12724588811397552,
0.03463367000222206,
0.35292479395866394,
0.22735242545604706,
0.004736479837447405,
-0.025911424309015274,
0.10443626344203949,
0.28496333956718445,
-0.04618600010871887,
0.06443624198436737,
0.036644816398620605,
0.22891248762607574,
0.0641891360282898,
0.3598417341709137,
-0.22694441676139832,
0.031078271567821503,
-0.2919076681137085,
-0.17317961156368256,
-0.30188632011413574,
0.3662432134151459,
-0.059796568006277084,
0.12840881943702698,
-0.003767472691833973,
0.21896663308143616,
-0.1237194612622261,
0.22889849543571472,
-0.2416870892047882,
-0.02274288609623909,
0.00589331891387701,
0.06760502606630325,
-0.12601563334465027,
-0.058639928698539734,
0.0696457251906395,
0.13089972734451294,
0.06438548862934113,
0.14221805334091187,
-0.3747170567512512,
-0.20188719034194946,
-0.04005352035164833,
0.16559559106826782,
0.03266608342528343,
-0.2386946827173233,
-0.004422334022819996,
-0.3472805321216583,
-0.33256152272224426,
-0.16482409834861755,
0.11657588183879852,
-0.12507429718971252,
-0.2715754210948944,
0.06031174212694168,
-0.059460997581481934,
0.2978954613208771,
-0.13933652639389038,
0.03453801944851875,
-0.10700326412916183,
0.3132719099521637,
-0.08346689492464066,
0.2498142272233963,
0.0991898700594902,
-0.050093457102775574,
-0.31366607546806335,
-0.11679309606552124,
0.1376473307609558,
-0.1159994900226593,
0.06822949647903442,
-0.3133595585823059,
-0.07454583793878555,
-0.2488778531551361,
0.042873311787843704,
0.2715884745121002,
-0.2371542900800705,
0.09041208773851395,
0.24579152464866638,
0.11498232185840607,
-0.09760551899671555,
-0.15072134137153625,
0.20687147974967957,
0.08234630525112152,
-0.024316847324371338,
0.20025362074375153,
0.08809409290552139,
0.16034257411956787,
-0.06396044045686722,
-0.04028838500380516,
0.010186923667788506,
-0.5695465803146362,
-0.19386830925941467,
0.40815216302871704,
-0.1363222450017929,
-0.014250025153160095,
-0.16127115488052368,
0.0954628437757492,
0.16480153799057007,
0.21101626753807068,
0.2794184684753418,
0.2288534790277481,
-0.07180015742778778,
-0.09621987491846085,
-0.061399538069963455,
-0.3514275848865509,
-0.4288904368877411,
0.44052088260650635,
-0.06125330924987793,
0.5847460031509399,
-0.22746171057224274,
0.035516392439603806,
0.1482977718114853,
-0.21973031759262085,
-0.16932731866836548,
0.2957041263580322,
-0.1487514227628708,
-0.06481285393238068,
-0.23912519216537476,
0.06481707096099854,
-0.1506691426038742,
0.2991456091403961,
-0.10230962187051773,
-0.2143225222826004,
-0.16765934228897095,
0.2694041430950165,
0.09658190608024597,
0.2263260930776596,
0.11800194531679153,
0.07471519708633423,
0.24854080379009247,
-0.1172582283616066,
0.19789005815982819,
-0.2634515166282654,
-0.1078861802816391,
-0.3696131408214569,
0.011613166891038418,
0.0912148728966713,
0.2826961874961853,
-0.3337540924549103,
0.12661010026931763,
0.07012628018856049,
-0.04584909602999687,
-0.020807096734642982,
0.24407058954238892,
0.2368534654378891,
0.09861940145492554,
0.304680734872818,
-0.0035822356585413218,
-0.05681219696998596,
0.15154998004436493,
0.15705399215221405,
0.17538706958293915,
-0.578890860080719,
0.5717278718948364,
0.2261795848608017,
-0.055576253682374954,
-0.0059855785220861435,
0.2032666802406311,
-0.08927438408136368,
-0.1207638531923294,
0.5214146971702576,
-0.2620497941970825,
0.03671780601143837,
-0.0025084514636546373,
0.046714525669813156,
-0.19307412207126617,
0.6902197003364563,
0.057421427220106125,
0.45538556575775146,
-0.08694536983966827,
0.04564293473958969,
-0.44194990396499634,
0.09158571064472198,
-0.10719571262598038,
0.21197332441806793,
0.26062825322151184,
0.29831385612487793,
0.14649181067943573,
0.2051636278629303,
-0.4557717442512512,
-0.21373851597309113,
-0.01620802842080593,
0.048399537801742554,
-0.14886347949504852,
-0.10379461199045181,
-0.5044934153556824,
0.12454109638929367,
-0.13039030134677887,
-0.4423992335796356,
0.0877692773938179,
-0.4213770031929016,
-0.03412565588951111,
-0.0869128480553627,
0.22290639579296112,
0.3233662545681,
0.4466140568256378,
0.3336487114429474,
-0.03963187336921692,
-0.10492025315761566,
0.04959724843502045,
-0.07954354584217072,
-0.11297428607940674,
-0.027450961992144585,
-0.3176702857017517,
-0.07864496111869812,
-0.14929966628551483,
0.12864720821380615,
-0.2904021739959717,
-0.0474701002240181,
-0.2210419923067093,
-0.2627435028553009,
0.02521299012005329,
-0.10299514979124069,
-0.13584543764591217,
0.09924563020467758,
-0.2605098485946655,
0.17538076639175415,
0.23030783236026764,
0.44776806235313416,
-0.14069710671901703,
-0.12991295754909515,
-0.21534103155136108,
0.08180026710033417,
0.38260072469711304,
-0.6043995022773743,
-0.2027837485074997,
0.06831548362970352,
-0.16580991446971893,
0.2554984390735626,
0.06379826366901398,
-0.2777387797832489,
-0.21997898817062378,
0.2798735797405243,
-0.12841488420963287,
-0.21454496681690216,
0.25627371668815613,
0.32339802384376526,
-0.10076190531253815,
-0.12213389575481415,
0.2780945599079132,
-0.06114077940583229,
-0.4330613613128662,
-0.2135881632566452,
-0.4865180552005768
] |
https://github.com/huggingface/datasets/issues/192 | [Question] Create Apache Arrow dataset from raw text file | We store every dataset in the Arrow format. This is convenient as it supports nested types and memory mapping. If you are curious feel free to check the [pyarrow documentation](https://arrow.apache.org/docs/python/)
You can use this library to load your covid papers by creating a dataset script. You can find inspiration from the ones we've already written in `/datasets`. Here is a link to the steps to [add a dataset](https://github.com/huggingface/nlp/blob/master/CONTRIBUTING.md#how-to-add-a-dataset) | Hi guys, I have gathered and preprocessed about 2GB of COVID papers from CORD dataset @ Kggle. I have seen you have a text dataset as "Crime and punishment" in Apache arrow format. Do you have any script to do it from a raw txt file (preprocessed as for BERT like) or any guide?
Is the worth of send it to you and add it to the NLP library?
Thanks, Manu
| 68 | [Question] Create Apache Arrow dataset from raw text file
Hi guys, I have gathered and preprocessed about 2GB of COVID papers from CORD dataset @ Kggle. I have seen you have a text dataset as "Crime and punishment" in Apache arrow format. Do you have any script to do it from a raw txt file (preprocessed as for BERT like) or any guide?
Is the worth of send it to you and add it to the NLP library?
Thanks, Manu
We store every dataset in the Arrow format. This is convenient as it supports nested types and memory mapping. If you are curious feel free to check the [pyarrow documentation](https://arrow.apache.org/docs/python/)
You can use this library to load your covid papers by creating a dataset script. You can find inspiration from the ones we've already written in `/datasets`. Here is a link to the steps to [add a dataset](https://github.com/huggingface/nlp/blob/master/CONTRIBUTING.md#how-to-add-a-dataset) | [
-0.17388372123241425,
-0.06410497426986694,
-0.04578731954097748,
0.06958875805139542,
-0.3965008854866028,
0.13637591898441315,
0.06761064380407333,
0.4003838896751404,
-0.06824392825365067,
-0.32224202156066895,
0.13134367763996124,
0.18338918685913086,
-0.08250487595796585,
0.07896027714014053,
0.39143106341362,
-0.04079053923487663,
-0.058886345475912094,
0.28287461400032043,
-0.032862234860658646,
-0.03655685484409332,
0.16092778742313385,
-0.021286694332957268,
-0.1044444814324379,
0.007256089709699154,
-0.19171859323978424,
-0.34966641664505005,
-0.16615353524684906,
0.15690922737121582,
-0.14719252288341522,
-0.4131219685077667,
0.1118624210357666,
0.08591306954622269,
0.5545088648796082,
0.152288019657135,
-0.00012087303912267089,
-0.4648415148258209,
0.14617322385311127,
-0.07211573421955109,
-0.1525297611951828,
-0.20889556407928467,
-0.23260009288787842,
-0.09182356297969818,
0.1721591055393219,
-0.33904919028282166,
0.07731235772371292,
-0.4477840065956116,
0.17121949791908264,
-0.2712027430534363,
0.665780782699585,
0.3493712544441223,
0.07335954159498215,
-0.10189543664455414,
0.1893395036458969,
0.22857488691806793,
0.4799532890319824,
0.5429453253746033,
-0.3052918314933777,
0.15295414626598358,
0.2607787847518921,
-0.20762257277965546,
-0.2825189530849457,
0.1587996929883957,
-0.09765501320362091,
-0.23909755051136017,
0.33057841658592224,
0.11803030967712402,
-0.27039942145347595,
-0.3330770432949066,
0.04893825203180313,
0.3964376747608185,
0.36962565779685974,
-0.4938063323497772,
0.048538919538259506,
-0.05016384273767471,
0.18940627574920654,
-0.48908141255378723,
-0.14875246584415436,
0.6180793046951294,
-0.5020700097084045,
0.35973915457725525,
0.33444252610206604,
-0.38164618611335754,
-0.43398362398147583,
0.12841829657554626,
0.4575880765914917,
-0.07157063484191895,
-0.047139547765254974,
-0.07582789659500122,
-0.05029016360640526,
0.1744941622018814,
0.21123680472373962,
-0.24556170403957367,
-0.14875802397727966,
0.34700530767440796,
-0.1437055766582489,
-0.16275876760482788,
-0.4877946376800537,
-0.20781882107257843,
0.2758220434188843,
-0.02975361980497837,
0.3700712025165558,
-0.13018089532852173,
-0.03909542039036751,
-0.09167711436748505,
0.03946316987276077,
-0.09501903504133224,
0.45105770230293274,
0.2062091827392578,
-0.00900284294039011,
-0.2627827227115631,
0.16223561763763428,
-0.08094597607851028,
-0.20558711886405945,
0.0966670960187912,
-0.15640978515148163,
0.03321874514222145,
0.049624133855104446,
-0.19279055297374725,
0.01111215353012085,
0.006018821150064468,
-0.43664783239364624,
-0.024569638073444366,
-0.2640625834465027,
0.23352771997451782,
0.18255937099456787,
-0.09135601669549942,
0.22798126935958862,
0.39805835485458374,
0.002583087421953678,
-0.191006600856781,
0.1229754164814949,
0.07351323217153549,
-0.2823691666126251,
0.28089281916618347,
0.24723444879055023,
0.048766616731882095,
-0.0020072264596819878,
-0.09525113552808762,
0.047782428562641144,
-0.30196231603622437,
0.1904061734676361,
-0.011525362730026245,
0.16694170236587524,
-0.11928243935108185,
0.26791253685951233,
0.04077565670013428,
-0.14994056522846222,
-0.12755240499973297,
-0.10135633498430252,
0.3692101538181305,
-0.3687524199485779,
-0.12114272266626358,
-0.13666395843029022,
-0.0014924067072570324,
0.05503535643219948,
-0.14150689542293549,
-0.27779650688171387,
0.25129222869873047,
0.13343480229377747,
0.1928407847881317,
0.055643945932388306,
0.2801021337509155,
-0.013973555527627468,
-0.2512497305870056,
0.0342513732612133,
0.4760323464870453,
-0.23271925747394562,
0.1828199028968811,
-0.1303553581237793,
0.42202699184417725,
0.04189235344529152,
0.19998104870319366,
-0.25090524554252625,
0.33731165528297424,
0.028533168137073517,
0.3784562945365906,
0.7308465242385864,
-0.07829371094703674,
0.2264496237039566,
0.4033631682395935,
0.18155382573604584,
-0.3522210419178009,
0.14907316863536835,
-0.043225377798080444,
0.10294368118047714,
-0.09913045167922974,
-0.30004048347473145,
0.49250900745391846,
0.11881684511899948,
0.03809281438589096,
-0.07898488640785217,
-0.2024592012166977,
-0.18061652779579163,
0.013828638941049576,
-0.14248567819595337,
-0.15212230384349823,
0.09050896763801575,
-0.45889052748680115,
0.4787384569644928,
-0.2984764873981476,
0.4021228551864624,
0.29039740562438965,
0.04152541980147362,
-0.014198892749845982,
0.24639356136322021,
-0.11176865547895432,
-0.18240483105182648,
-0.31211790442466736,
-0.4065294861793518,
0.2906285226345062,
-0.25427594780921936,
-0.2743140459060669,
-0.25395286083221436,
-0.11944711208343506,
0.07688603550195694,
-0.03059508092701435,
-0.03145672753453255,
-0.24361303448677063,
-0.2193363606929779,
0.01776365377008915,
-0.20738880336284637,
0.2594849765300751,
-0.27977171540260315,
0.13498534262180328,
-0.2302948385477066,
0.21568022668361664,
0.08199535310268402,
-0.19584135711193085,
0.24660922586917877,
0.2380744367837906,
-0.27999481558799744,
0.1489575207233429,
0.06565996259450912,
0.1418323814868927,
-0.053554803133010864,
0.20256252586841583,
0.427729070186615,
-0.28081583976745605,
0.0847725197672844,
-0.6659767627716064,
0.30371013283729553,
-0.04134857654571533,
0.2257370501756668,
-0.11210645735263824,
-0.3082045614719391,
0.44492846727371216,
-0.062422286719083786,
0.1924302875995636,
-0.1610330492258072,
0.018284078687429428,
-0.07412037998437881,
-0.030854322016239166,
-0.08382134884595871,
0.1798776388168335,
0.055171966552734375,
0.43464675545692444,
0.15664012730121613,
-0.151343435049057,
0.027362480759620667,
0.08514956384897232,
-0.12751811742782593,
-0.1711125373840332,
0.2346556931734085,
0.23757675290107727,
-0.3029528260231018,
-0.1035984680056572,
-0.16728371381759644,
0.04839351400732994,
0.0925913155078888,
0.1848362535238266,
-0.15063898265361786,
-0.040357958525419235,
0.08050628006458282,
-0.09687495976686478,
0.3708857595920563,
-0.03018072247505188,
0.2931440770626068,
-0.1610877811908722,
-0.0907881110906601,
-0.023355970159173012,
-0.17951416969299316,
-0.2806982696056366,
-0.04755263775587082,
0.13846668601036072,
-0.2195432484149933,
0.028408704325556755,
-0.06600562483072281,
-0.37388572096824646,
-0.33117735385894775,
0.1296108067035675,
-0.041425589472055435,
0.252734512090683,
0.012834295630455017,
-0.24280226230621338,
0.160663440823555,
0.0032890066504478455,
-0.015388344414532185,
0.5403866767883301,
0.09072723984718323,
0.07187308371067047,
-0.18865971267223358,
-0.5223942995071411,
-0.18206334114074707,
0.056400299072265625,
0.2462330460548401,
0.4204172194004059,
0.36549460887908936,
-0.18795715272426605,
0.1201983392238617,
-0.037211425602436066,
-0.015586599707603455,
0.039233818650245667,
-0.1758021116256714,
-0.27563250064849854,
-0.18567432463169098,
0.12907709181308746,
-0.5696606636047363,
-0.10519001632928848,
-0.21616171300411224,
0.04164513200521469,
-0.1757652461528778,
-0.2118133306503296,
-0.07265700399875641,
-0.040174148976802826,
0.1962091475725174,
-0.5246597528457642,
-0.15463583171367645,
-0.12683838605880737,
0.3574325442314148,
0.30721578001976013,
0.2926773130893707,
-0.024483775720000267,
0.2397528737783432,
0.11662006378173828,
-0.3075912296772003,
-0.05353710427880287,
0.19105178117752075,
-0.06540194153785706,
0.37870243191719055,
-0.3172716200351715,
-0.5370227694511414,
0.011981671676039696,
-0.05331210419535637,
-0.07275471836328506,
0.3109486401081085,
-0.35481566190719604,
0.419631689786911,
0.08230754733085632,
0.029532812535762787,
-0.1032712459564209,
-0.012858808040618896,
0.24516241252422333,
-0.00042280126945115626,
0.06135645508766174,
-0.058393631130456924,
0.09048828482627869,
0.35686323046684265,
-0.12842397391796112,
0.3276354968547821,
0.3448914587497711,
0.14565689861774445,
-0.046614598482847214,
0.5362746715545654,
0.25174808502197266,
0.060705795884132385,
0.17636597156524658,
-0.11871405690908432,
0.07755386829376221,
0.10546091943979263,
0.03187001496553421,
-0.07428260892629623,
0.12698692083358765,
0.037481699138879776,
0.18022391200065613,
0.3182491362094879,
-0.32272568345069885,
-0.20063048601150513,
-0.24340853095054626,
-0.3722503185272217,
-0.1931561380624771,
0.3950960636138916,
-0.2958455979824066,
0.2528689503669739,
-0.11756224185228348,
-0.2101004272699356,
-0.1779503971338272,
-0.47201043367385864,
-0.10274569690227509,
0.2386797070503235,
0.26414191722869873,
0.1729045957326889,
-0.04200572147965431,
0.36136168241500854,
-0.6206261515617371,
0.29943105578422546,
0.18296577036380768,
-0.11638835817575455,
0.114884153008461,
0.05378718674182892,
0.2133236676454544,
0.08678250014781952,
-0.11692526936531067,
0.16836968064308167,
-0.05905286595225334,
-0.014313729479908943,
0.3365096151828766,
-0.36891597509384155,
0.3253723680973053,
-0.2826526165008545,
0.037240754812955856,
0.22013679146766663,
-0.11274156719446182,
-0.43968939781188965,
-0.22016754746437073,
0.17403528094291687,
0.14908041059970856,
-0.1108863353729248,
-0.4020349979400635,
0.1299976110458374,
0.005802634637802839,
-0.39609378576278687,
-0.1459903120994568,
0.39685726165771484,
-0.01603306271135807,
-0.12497640401124954,
-0.15539143979549408,
-0.01966378651559353,
0.10079880058765411,
0.22278249263763428,
-0.2305995225906372,
0.20117710530757904,
-0.25087565183639526,
0.021771589294075966,
-0.08185677975416183,
0.3278175890445709,
0.0673634484410286,
-0.001510963193140924,
0.18697263300418854,
-0.22211602330207825,
-0.06431376934051514,
-0.39945700764656067,
0.5800673961639404,
0.17286989092826843,
0.11208894103765488,
0.15619568526744843,
0.18525147438049316,
-0.30442047119140625,
-0.11992888152599335,
-0.011087847873568535,
0.1350955218076706,
-0.11089466512203217,
-0.4100244343280792,
-0.3892834782600403,
0.5749381184577942,
0.04820896312594414,
-0.03414613753557205,
0.29530972242355347,
0.0565154142677784,
-0.29029664397239685,
0.6706215143203735,
0.20020198822021484,
1.225578784942627,
-0.17598895728588104,
0.2871076464653015,
0.054876189678907394,
-0.10766847431659698,
0.5923517346382141,
-0.42020517587661743,
-0.21309834718704224,
-0.5059723854064941,
0.3042323887348175,
-0.11025373637676239,
-0.14544348418712616,
0.1546524614095688,
0.33180344104766846,
-0.06618154048919678,
0.10463544726371765,
0.275322288274765,
-0.045740872621536255,
0.1352182924747467,
0.32488906383514404,
-0.21979494392871857,
-0.4144166111946106,
-0.15021666884422302,
-0.09407120198011398,
-0.12854498624801636,
0.046928562223911285,
0.11305557936429977,
-0.41741541028022766,
-0.32015901803970337,
0.0748211070895195,
-0.4243670701980591,
0.10035252571105957,
-0.008133945055305958,
-0.22221967577934265,
-0.2661270499229431,
-0.6077929735183716,
0.3085106611251831,
0.3429754972457886,
0.09421619772911072,
-0.007780144456773996,
-0.28515559434890747,
0.09172771871089935,
-0.2546536922454834,
-0.39086252450942993,
0.27973127365112305,
-0.12988542020320892,
0.07501446455717087,
-0.1504436433315277,
-0.20562122762203217,
0.15109066665172577,
0.05339076742529869,
-0.28714779019355774,
-0.006581712979823351,
-0.2250330001115799,
0.49902966618537903,
-0.1214831992983818,
-0.060345590114593506,
0.32706519961357117,
-0.41001513600349426,
0.005482974927872419,
0.0734868273139,
0.3840419054031372,
0.10894736647605896,
0.052778210490942,
0.2629636228084564,
-0.25314009189605713,
-0.045207079499959946,
0.17500554025173187,
0.36659032106399536,
-0.2257859706878662,
0.5001032948493958,
0.4196084439754486,
-0.15374985337257385,
-0.29532983899116516,
0.27615246176719666,
0.3888963758945465,
-0.8429340720176697,
-0.10552550107240677,
-0.008340717293322086,
0.0986776351928711,
0.01622936688363552,
0.10067235678434372,
-0.07750066369771957,
-0.04655391350388527,
0.010311947204172611,
-0.542080819606781,
-0.26967620849609375,
0.1499103307723999,
-0.09666280448436737,
0.07544462382793427,
0.39812320470809937,
0.09652518481016159,
0.041537296026945114,
0.13556693494319916,
-0.20735123753547668,
0.08010676503181458,
0.5916287302970886,
0.1752157360315323,
0.10622408986091614,
0.09708879142999649,
0.019882533699274063,
0.02555638551712036,
-0.024785324931144714,
0.11710461229085922,
0.11115162819623947,
-0.13142049312591553,
-0.015419227071106434,
0.20284496247768402,
-0.06086160987615585,
-0.2965806722640991,
-0.30982351303100586,
-0.45137426257133484,
-0.2555304169654846,
-0.19112586975097656,
-0.14729641377925873,
-0.15576721727848053,
-0.1328599452972412,
0.13090796768665314,
0.07797173410654068,
0.014391588978469372,
-0.4827415347099304,
0.2256816029548645,
-0.21510623395442963,
0.251577764749527,
-0.09725794941186905,
0.1495196521282196,
-0.0002766309480648488,
-0.050234105437994,
0.04456501081585884,
0.1290828138589859,
0.24697421491146088,
0.1895880252122879,
0.5016093254089355,
-0.1193627417087555,
-0.04702061414718628,
-0.3728879392147064,
0.20447029173374176,
0.2573818862438202,
0.09038421511650085,
0.06380901485681534,
0.2950476109981537,
0.0918235182762146,
-0.22265124320983887,
0.2888725996017456,
-0.23050346970558167,
-0.2013942450284958,
-0.18630293011665344,
0.12676480412483215,
-0.02107030153274536,
-0.19755667448043823,
-0.31091293692588806,
-0.1603405624628067,
0.18026599287986755,
-0.015163905918598175,
-0.35536912083625793,
0.19000428915023804,
0.22559216618537903,
-0.04182180017232895,
-0.13116112351417542,
0.22774869203567505,
0.25549593567848206,
-0.06322725117206573,
-0.05395884066820145,
0.15032382309436798,
0.729856014251709,
0.26674455404281616,
0.14226235449314117,
-0.16784678399562836,
0.041503921151161194,
0.43847525119781494,
0.24947483837604523,
0.014321703463792801,
0.23090074956417084,
0.5041621327400208,
0.6058552861213684,
0.10812108963727951,
-0.04871401935815811,
0.2923034727573395,
0.1237492561340332,
0.03654143959283829,
-0.459958553314209,
-0.06597098708152771,
-0.04848242923617363,
-0.27365216612815857,
-0.19247587025165558,
-0.07600425183773041,
-0.14734037220478058,
0.370712548494339,
0.15805166959762573,
-0.0557744987308979,
0.16497446596622467,
0.07142505049705505,
0.3248579204082489,
-0.24928683042526245,
0.08210790902376175,
-0.12004118412733078,
0.015363607555627823,
0.037474095821380615,
0.43583187460899353,
0.33153751492500305,
0.1721891462802887,
-0.13928714394569397,
0.14918875694274902,
-0.00022725500457454473,
-0.10717980563640594,
0.1763482391834259,
0.19603390991687775,
0.40060141682624817,
0.03843921050429344,
0.0731000006198883,
0.045242708176374435,
0.027987927198410034,
-0.12604181468486786,
0.3155635595321655,
-0.21342460811138153,
0.09988753497600555,
-0.15060222148895264,
0.07479587942361832,
-0.37400439381599426,
-0.16975484788417816,
0.09984654933214188,
-0.16131100058555603,
0.3633498549461365,
0.6061457991600037,
-0.23281364142894745,
-0.04642970487475395,
-0.11821340769529343,
0.01120659802109003,
-0.103349968791008,
0.4182170033454895,
0.3434804379940033,
0.127003014087677,
-0.2906666100025177,
-0.2813270390033722,
-0.04703807458281517,
0.10857357829809189,
-0.03955502435564995,
-0.23724158108234406,
-0.05329851061105728,
0.03458274155855179,
0.26135826110839844,
0.4125305712223053,
0.04884747788310051,
0.1342536062002182,
-0.11785823851823807,
0.4718044400215149,
-0.28801408410072327,
-0.04197244346141815,
0.2731885313987732,
0.5164780616760254,
-0.16281382739543915,
-0.10243458300828934,
0.15228983759880066,
0.3586501479148865,
-0.06448942422866821,
-0.23673926293849945,
-0.08922397345304489,
0.3275837004184723,
-0.17799562215805054,
0.22377057373523712,
-0.09077372401952744,
0.15293243527412415,
-0.051674678921699524,
-0.12333441525697708,
0.0046204156242311,
-0.08744850754737854,
0.10571614652872086,
0.44399377703666687,
0.32237687706947327,
-0.19108979403972626,
-0.26522549986839294,
-0.001539864344522357,
0.0471138060092926,
0.2749514579772949,
-0.28760018944740295,
-0.050847843289375305,
-0.27267855405807495,
-0.02337668091058731,
-0.2617737650871277,
0.14743797481060028,
-0.034875594079494476,
0.28765204548835754,
-0.21054619550704956,
0.11583275347948074,
-0.12690186500549316,
-0.13028763234615326,
0.09160202741622925,
-0.2509089410305023,
0.03996608033776283,
0.26852115988731384,
0.21695423126220703,
0.5681503415107727,
0.3674049973487854,
-0.5660690665245056,
0.21065376698970795,
0.23423723876476288,
0.0702546015381813,
0.1036049947142601,
0.06293860822916031,
0.0025858976878225803,
0.10403262078762054,
-0.01696898601949215,
0.39650610089302063,
-0.058482538908720016,
-0.03820488601922989,
-0.4614564776420593,
-0.49836644530296326
] |
https://github.com/huggingface/datasets/issues/192 | [Question] Create Apache Arrow dataset from raw text file | Hello @mrm8488 and @lhoestq
Is there a way to convert a dataset to Apache arrow format (locally/personal use) & use it before sending it to hugging face?
Thanks :) | Hi guys, I have gathered and preprocessed about 2GB of COVID papers from CORD dataset @ Kggle. I have seen you have a text dataset as "Crime and punishment" in Apache arrow format. Do you have any script to do it from a raw txt file (preprocessed as for BERT like) or any guide?
Is the worth of send it to you and add it to the NLP library?
Thanks, Manu
| 29 | [Question] Create Apache Arrow dataset from raw text file
Hi guys, I have gathered and preprocessed about 2GB of COVID papers from CORD dataset @ Kggle. I have seen you have a text dataset as "Crime and punishment" in Apache arrow format. Do you have any script to do it from a raw txt file (preprocessed as for BERT like) or any guide?
Is the worth of send it to you and add it to the NLP library?
Thanks, Manu
Hello @mrm8488 and @lhoestq
Is there a way to convert a dataset to Apache arrow format (locally/personal use) & use it before sending it to hugging face?
Thanks :) | [
-0.10410269349813461,
-0.08714812994003296,
-0.09965071082115173,
0.1544029861688614,
-0.3756238520145416,
0.1595185101032257,
0.1173253133893013,
0.4278322160243988,
-0.043595850467681885,
-0.2937571108341217,
0.07305129617452621,
0.11510495096445084,
-0.08337912708520889,
0.14750340580940247,
0.2515306770801544,
-0.153853178024292,
-0.08801751583814621,
0.21654418110847473,
-0.29338303208351135,
0.015711648389697075,
0.27406200766563416,
-0.02474883757531643,
-0.0877850204706192,
0.012239886447787285,
-0.17144334316253662,
-0.23625536262989044,
-0.12816721200942993,
-0.003314283676445484,
-0.14507755637168884,
-0.33768293261528015,
-0.025384997949004173,
-0.029353545978665352,
0.5116749405860901,
0.20511527359485626,
-0.00012170406262157485,
-0.34656041860580444,
0.1274176388978958,
-0.0041155628859996796,
-0.24111872911453247,
-0.20824940502643585,
-0.15198726952075958,
-0.009041264653205872,
0.19447478652000427,
-0.3356015384197235,
-0.060021352022886276,
-0.3797876238822937,
0.030286962166428566,
-0.46885746717453003,
0.839243471622467,
0.3928319811820984,
0.0757717564702034,
-0.1602264940738678,
0.18871402740478516,
0.21793437004089355,
0.34135064482688904,
0.5511060357093811,
-0.3402373194694519,
-0.07742201536893845,
0.14995832741260529,
0.03337464854121208,
-0.16508620977401733,
0.19850091636180878,
0.043988876044750214,
-0.15324650704860687,
0.35406506061553955,
-0.03162282332777977,
-0.2806333005428314,
-0.22104321420192719,
0.12315788120031357,
0.32636189460754395,
0.4954083561897278,
-0.4750736355781555,
-0.04503782466053963,
-0.01197313517332077,
0.20504654943943024,
-0.4249294400215149,
-0.2257205843925476,
0.5759357213973999,
-0.45890548825263977,
0.4854777455329895,
0.14960326254367828,
-0.40089502930641174,
-0.4561849534511566,
-0.07455494999885559,
0.3925384283065796,
-0.11834438145160675,
-0.10440382361412048,
-0.06381271034479141,
-0.142126202583313,
0.16296027600765228,
0.22700193524360657,
-0.3375427722930908,
-0.1277935802936554,
0.26903942227363586,
-0.042774733155965805,
-0.21517300605773926,
-0.5973441004753113,
-0.19733555614948273,
0.18537579476833344,
0.07733018696308136,
0.38570892810821533,
-0.11290831118822098,
-0.04760950803756714,
-0.2783755362033844,
0.07719910144805908,
-0.07277897000312805,
0.4339829981327057,
0.13293208181858063,
-0.007071338593959808,
-0.2632567584514618,
0.17075762152671814,
-0.11871568113565445,
-0.09468048065900803,
0.017399169504642487,
-0.1367945671081543,
0.20157092809677124,
-0.010499740950763226,
-0.2780987024307251,
-0.033356498926877975,
-0.019908951595425606,
-0.3864953815937042,
-0.07699979841709137,
-0.21380358934402466,
0.026128295809030533,
0.20136502385139465,
-0.1467558890581131,
0.22471104562282562,
0.3776320815086365,
0.052054181694984436,
-0.28021395206451416,
0.17620933055877686,
-0.018022168427705765,
-0.2320820689201355,
0.28165552020072937,
0.08700871467590332,
0.16538067162036896,
-0.1353076845407486,
-0.06850408017635345,
-0.05829614773392677,
-0.1452392339706421,
0.25249114632606506,
-0.036169957369565964,
0.21758878231048584,
-0.06669128686189651,
0.20696470141410828,
0.016298165544867516,
-0.12016603350639343,
-0.007247621659189463,
-0.07581128180027008,
0.3549622595310211,
-0.18190038204193115,
0.03534134849905968,
-0.044504985213279724,
0.015734555199742317,
0.07062359154224396,
-0.08456835150718689,
-0.2357393056154251,
0.16044282913208008,
-0.0032511884346604347,
0.33366283774375916,
0.0702999159693718,
0.2868444621562958,
0.060523632913827896,
-0.14232556521892548,
-0.061350222676992416,
0.4451697766780853,
-0.3385568857192993,
0.14817193150520325,
-0.09775742143392563,
0.20304572582244873,
-0.11506365984678268,
0.3096964359283447,
-0.22147971391677856,
0.28552648425102234,
-0.02173238806426525,
0.248059943318367,
0.760906457901001,
-0.00319566298276186,
0.19536173343658447,
0.4988290071487427,
0.03261254355311394,
-0.3793383240699768,
0.09234829246997833,
-0.08416328579187393,
-0.08584754914045334,
-0.029711242765188217,
-0.28686562180519104,
0.5281491875648499,
0.11185703426599503,
-0.016950568184256554,
-0.11940508335828781,
-0.17205417156219482,
-0.11659643054008484,
-0.05393878370523453,
-0.23231519758701324,
-0.05482989177107811,
0.09218209981918335,
-0.48238301277160645,
0.4895268976688385,
-0.33566978573799133,
0.4532501697540283,
0.237852081656456,
0.02512098103761673,
-0.039329126477241516,
0.1749616116285324,
-0.031960178166627884,
-0.09866148233413696,
-0.3560512661933899,
-0.3879682719707489,
0.21412938833236694,
-0.326967716217041,
-0.23821257054805756,
-0.26968297362327576,
-0.125290185213089,
-0.06862170249223709,
0.08229734003543854,
-0.01979629136621952,
-0.23527994751930237,
-0.15579476952552795,
0.014363083057105541,
-0.21273447573184967,
0.31802859902381897,
-0.11018742620944977,
0.1491357535123825,
-0.2236449420452118,
0.11636775732040405,
0.1057080551981926,
-0.00439384113997221,
0.237599179148674,
0.13671815395355225,
-0.23089133203029633,
0.05242209509015083,
-0.05458331108093262,
0.0032962250988930464,
-0.07111271470785141,
0.17900675535202026,
0.5197834968566895,
-0.29207944869995117,
0.07352687418460846,
-0.6826449632644653,
0.31045371294021606,
0.0175312552601099,
0.21841339766979218,
-0.10102833807468414,
-0.46540260314941406,
0.48078009486198425,
-0.0809444710612297,
0.19033698737621307,
-0.1441081315279007,
0.0432979092001915,
-0.13720974326133728,
-0.11262873560190201,
-0.16778384149074554,
0.14391833543777466,
-0.06783543527126312,
0.3569740355014801,
0.21481426060199738,
-0.09206991642713547,
0.09972012042999268,
0.031152866780757904,
-0.1916440725326538,
-0.19726866483688354,
0.23297186195850372,
0.21440370380878448,
-0.23323801159858704,
-0.07656899839639664,
-0.06118118762969971,
0.04091804474592209,
0.11759529262781143,
0.1491021066904068,
0.021691640838980675,
0.0765998512506485,
0.2202986627817154,
-0.13715334236621857,
0.33411863446235657,
-0.1321941465139389,
0.3828594982624054,
-0.1595306247472763,
-0.16526341438293457,
0.021198788657784462,
-0.0997905433177948,
-0.1932457536458969,
-0.10108207911252975,
0.14014816284179688,
-0.08165836334228516,
-0.03822110965847969,
-0.1377265453338623,
-0.40400806069374084,
-0.3725431561470032,
0.26179975271224976,
-0.03137892484664917,
0.253950834274292,
-0.07426447421312332,
-0.4246182143688202,
0.1473333239555359,
-0.15592814981937408,
-0.07536590844392776,
0.5126543045043945,
0.07902255654335022,
0.06046098470687866,
-0.2836170196533203,
-0.3982830345630646,
-0.16304101049900055,
0.07741996645927429,
0.3069847524166107,
0.4057582914829254,
0.34915271401405334,
-0.08209376782178879,
0.19486494362354279,
-0.1915401667356491,
0.09424611181020737,
0.027147360146045685,
-0.034980982542037964,
-0.30891916155815125,
-0.15635012090206146,
0.16644422709941864,
-0.5549852848052979,
0.11955330520868301,
-0.18406997621059418,
0.11688795685768127,
-0.2389354258775711,
-0.27920156717300415,
-0.07527454942464828,
-0.02139112539589405,
0.22103837132453918,
-0.4112195670604706,
-0.13717730343341827,
-0.08414352685213089,
0.4223146140575409,
0.23396289348602295,
0.250032514333725,
-0.04165755584836006,
0.13203328847885132,
0.17086564004421234,
-0.23383009433746338,
-0.07233113795518875,
0.19056548178195953,
-0.15384617447853088,
0.2510855495929718,
-0.36824527382850647,
-0.5960057377815247,
-0.06363940238952637,
-0.015842650085687637,
0.021004540845751762,
0.31264904141426086,
-0.42155441641807556,
0.5755351185798645,
-0.03536474332213402,
0.05393073707818985,
-0.1453755497932434,
-0.005995717830955982,
0.20333744585514069,
-0.03361830115318298,
0.044098157435655594,
-0.03009047731757164,
0.08547737449407578,
0.31540393829345703,
-0.16932444274425507,
0.3524860441684723,
0.4192032814025879,
0.13491706550121307,
0.08188965916633606,
0.6222636699676514,
0.24559447169303894,
0.10145347565412521,
0.2365688532590866,
-0.024821169674396515,
0.0064175790175795555,
0.026079639792442322,
0.05190190300345421,
-0.14045022428035736,
0.19511979818344116,
0.12384891510009766,
0.07361648976802826,
0.2893810570240021,
-0.09587361663579941,
-0.2961913049221039,
-0.2651779353618622,
-0.3516785502433777,
-0.20116353034973145,
0.29700028896331787,
-0.3599577248096466,
0.27954256534576416,
-0.15597060322761536,
-0.21718305349349976,
-0.06307173520326614,
-0.3113391697406769,
0.059967041015625,
0.12868718802928925,
0.31906723976135254,
0.1490602046251297,
-0.27069488167762756,
0.34821581840515137,
-0.6118110418319702,
0.3497487008571625,
0.051624100655317307,
-0.10029686987400055,
0.05672137811779976,
0.03056354820728302,
0.14685751497745514,
0.08642497658729553,
-0.17882418632507324,
0.11098466068506241,
-0.02531636878848076,
0.009351846762001514,
0.2899271547794342,
-0.4226803779602051,
0.39033493399620056,
-0.228807270526886,
0.11045870929956436,
0.012455775402486324,
0.12471452355384827,
-0.37960654497146606,
-0.2781965136528015,
0.13440127670764923,
0.24216315150260925,
-0.1416960507631302,
-0.36481329798698425,
0.2568531632423401,
0.008762945421040058,
-0.1879391372203827,
-0.11056026816368103,
0.3730458915233612,
0.020872727036476135,
-0.07553911209106445,
-0.19689346849918365,
-0.05982212722301483,
0.15742194652557373,
0.12727147340774536,
-0.32880979776382446,
0.10629303008317947,
-0.27296218276023865,
0.026045678183436394,
0.05754629522562027,
0.3884016275405884,
0.008848216384649277,
0.08767405152320862,
0.17699582874774933,
-0.21610431373119354,
-0.06899240612983704,
-0.3054358661174774,
0.6498405337333679,
0.22233247756958008,
0.12618425488471985,
0.1377878487110138,
0.2107263058423996,
-0.2504124343395233,
-0.07103011012077332,
-0.14615558087825775,
0.04115201532840729,
-0.06889710575342178,
-0.426135390996933,
-0.34913864731788635,
0.5717192888259888,
0.053953636437654495,
0.002720082877203822,
0.19814132153987885,
0.08373111486434937,
-0.27170035243034363,
0.5873882174491882,
0.2792503833770752,
1.1855225563049316,
-0.2742815613746643,
0.27304917573928833,
-0.13550738990306854,
-0.31601810455322266,
0.4253913462162018,
-0.27867963910102844,
-0.25471818447113037,
-0.5003958344459534,
0.4487970769405365,
-0.07695724070072174,
-0.153147891163826,
0.429431676864624,
0.41808274388313293,
-0.04471508413553238,
0.023450076580047607,
0.21344681084156036,
-0.1962738037109375,
0.11166691780090332,
0.4447539746761322,
-0.33992743492126465,
-0.3009551167488098,
-0.09718891978263855,
-0.05439264327287674,
-0.1266823559999466,
0.14949734508991241,
0.1293238252401352,
-0.44057825207710266,
-0.37254348397254944,
0.08562374114990234,
-0.2790435552597046,
0.0675969123840332,
-0.16045615077018738,
-0.23008498549461365,
-0.30945253372192383,
-0.6526294350624084,
0.38459140062332153,
0.303102970123291,
0.1611373871564865,
0.01803254336118698,
-0.14568142592906952,
0.06527040898799896,
-0.30593761801719666,
-0.21463309228420258,
0.14000838994979858,
-0.0970301553606987,
0.014986231923103333,
-0.17341424524784088,
-0.14730991423130035,
0.13271565735340118,
0.07229068875312805,
-0.2237471044063568,
0.03694796562194824,
-0.20663891732692719,
0.5542369484901428,
-0.22024871408939362,
-0.05737181380391121,
0.2082994282245636,
-0.38716939091682434,
0.09555824846029282,
0.07478750497102737,
0.34375086426734924,
0.010053154081106186,
-0.01984357088804245,
0.2923181354999542,
-0.19841355085372925,
0.06222645193338394,
0.19615599513053894,
0.20381395518779755,
-0.19679854810237885,
0.43999508023262024,
0.38451382517814636,
-0.09716916084289551,
-0.3226233422756195,
0.5589423775672913,
0.4894661605358124,
-0.7103242874145508,
-0.05827104672789574,
-0.0873330682516098,
0.17481070756912231,
0.0075121112167835236,
0.07378464937210083,
-0.04773588478565216,
-0.024275539442896843,
-0.04158999025821686,
-0.4507727324962616,
-0.30290886759757996,
0.021305326372385025,
-0.05329263210296631,
0.09318296611309052,
0.3139227628707886,
0.018152549862861633,
0.0753164067864418,
0.04191593825817108,
-0.20519845187664032,
0.1590941995382309,
0.6357872486114502,
0.17778629064559937,
0.027765924111008644,
0.042296573519706726,
-0.056716181337833405,
-0.00015137423179112375,
-0.004827890079468489,
0.13855087757110596,
0.07041745632886887,
-0.17438171803951263,
-0.032969195395708084,
0.2171880155801773,
-0.0901581346988678,
-0.32971855998039246,
-0.3392930328845978,
-0.4449428617954254,
-0.154939666390419,
-0.03558647632598877,
-0.13537022471427917,
-0.08628867566585541,
-0.06770666688680649,
0.16228139400482178,
0.1766919493675232,
-0.0913199782371521,
-0.5623156428337097,
0.1294584572315216,
-0.10235680639743805,
0.21732500195503235,
-0.13209497928619385,
0.16996720433235168,
0.09857216477394104,
-0.05798961594700813,
0.047921571880578995,
0.009129863232374191,
0.3277357518672943,
0.1631401926279068,
0.35374194383621216,
-0.17176233232021332,
0.04795100912451744,
-0.20626850426197052,
0.3029596507549286,
0.1416812688112259,
-0.008553911931812763,
0.07447542995214462,
0.29503971338272095,
0.07731839269399643,
-0.20862682163715363,
0.23932339251041412,
-0.2136077880859375,
-0.2218504697084427,
-0.26494908332824707,
0.05970841273665428,
0.004555628169327974,
0.026558035984635353,
-0.41372552514076233,
-0.2439277619123459,
0.040048837661743164,
0.009618189185857773,
-0.27304908633232117,
0.34262531995773315,
0.14183786511421204,
-0.036722030490636826,
-0.012312526814639568,
0.22880791127681732,
0.16126643121242523,
-0.05761465057730675,
-0.10032609850168228,
0.14080803096294403,
0.7164048552513123,
0.2588323652744293,
0.22971655428409576,
-0.1495770364999771,
0.10609381645917892,
0.34074926376342773,
0.17358440160751343,
0.06045139580965042,
0.30843067169189453,
0.501695990562439,
0.49053341150283813,
-0.06533724814653397,
0.10396638512611389,
0.23329581320285797,
0.026200024411082268,
0.09245134145021439,
-0.2975194454193115,
-0.09762128442525864,
-0.07974164932966232,
-0.27052736282348633,
-0.26703548431396484,
-0.06595683097839355,
-0.12805059552192688,
0.37830913066864014,
0.224216029047966,
0.006519431713968515,
0.09486543387174606,
0.07628700137138367,
0.30902570486068726,
-0.1967896819114685,
-0.08400562405586243,
-0.047925520688295364,
0.06425434350967407,
0.014820144511759281,
0.4466158151626587,
0.14851869642734528,
0.11663597077131271,
-0.18219169974327087,
0.21957455575466156,
-0.0323844775557518,
-0.13474969565868378,
0.25331515073776245,
0.24931177496910095,
0.43743449449539185,
0.02465965785086155,
0.16236284375190735,
0.03777848184108734,
0.0600285567343235,
0.010893844068050385,
0.19674983620643616,
-0.16068632900714874,
-0.10829733312129974,
-0.04838661849498749,
-0.0743742510676384,
-0.455786794424057,
-0.21377234160900116,
0.07236232608556747,
-0.1384686380624771,
0.20172777771949768,
0.6342796683311462,
-0.30233120918273926,
-0.05422493442893028,
-0.2243727743625641,
0.012459943071007729,
-0.11517751216888428,
0.42381519079208374,
0.3466531038284302,
0.14342562854290009,
-0.29574811458587646,
-0.28634220361709595,
-0.06824088096618652,
0.11662812530994415,
-0.023076988756656647,
-0.04253241792321205,
-0.0962422788143158,
-0.031165892258286476,
0.27951785922050476,
0.5127829909324646,
0.13443009555339813,
0.12040817737579346,
-0.17573845386505127,
0.48935049772262573,
-0.2379414290189743,
-0.01999349147081375,
0.4501173198223114,
0.5878043174743652,
-0.15019358694553375,
-0.1882658302783966,
0.32243508100509644,
0.6150752902030945,
-0.06042821705341339,
-0.19979678094387054,
0.007830449379980564,
0.33421823382377625,
-0.17057205736637115,
0.20960384607315063,
-0.013460722751915455,
0.09708001464605331,
0.02499525435268879,
-0.09997033327817917,
0.14133478701114655,
0.03287096694111824,
0.12586292624473572,
0.5581209063529968,
0.25094422698020935,
-0.17178672552108765,
-0.2090209424495697,
-0.0683218315243721,
0.015021709725260735,
0.23496048152446747,
-0.33540868759155273,
-0.08596171438694,
-0.3126036822795868,
-0.09726390242576599,
-0.2712614834308624,
0.041893623769283295,
0.016884218901395798,
0.30374711751937866,
-0.17290425300598145,
0.012211902998387814,
-0.20690639317035675,
0.023852337151765823,
0.11828358471393585,
-0.2757699191570282,
0.03076789900660515,
0.3645254969596863,
0.1029348373413086,
0.6225427389144897,
0.15047995746135712,
-0.48482584953308105,
0.14814776182174683,
0.31665951013565063,
-0.022683389484882355,
0.2637162506580353,
0.09053988009691238,
0.05713618919253349,
0.13081413507461548,
0.010113729164004326,
0.5547729134559631,
-0.05681570991873741,
0.004993907641619444,
-0.5158871412277222,
-0.40870675444602966
] |
https://github.com/huggingface/datasets/issues/192 | [Question] Create Apache Arrow dataset from raw text file | > Is there a way to convert a dataset to Apache arrow format (locally/personal use) & use it before sending it to hugging face?
Sure, to get a dataset in arrow format you can either:
- [load from local files (txt, json, csv)](https://huggingface.co./nlp/loading_datasets.html?highlight=csv#from-local-files)
- OR [load from python data (dict, pandas)](https://huggingface.co./nlp/loading_datasets.html?highlight=csv#from-in-memory-data)
- OR [create your own dataset script](https://huggingface.co./nlp/loading_datasets.html?highlight=csv#using-a-custom-dataset-loading-script)
| Hi guys, I have gathered and preprocessed about 2GB of COVID papers from CORD dataset @ Kggle. I have seen you have a text dataset as "Crime and punishment" in Apache arrow format. Do you have any script to do it from a raw txt file (preprocessed as for BERT like) or any guide?
Is the worth of send it to you and add it to the NLP library?
Thanks, Manu
| 58 | [Question] Create Apache Arrow dataset from raw text file
Hi guys, I have gathered and preprocessed about 2GB of COVID papers from CORD dataset @ Kggle. I have seen you have a text dataset as "Crime and punishment" in Apache arrow format. Do you have any script to do it from a raw txt file (preprocessed as for BERT like) or any guide?
Is the worth of send it to you and add it to the NLP library?
Thanks, Manu
> Is there a way to convert a dataset to Apache arrow format (locally/personal use) & use it before sending it to hugging face?
Sure, to get a dataset in arrow format you can either:
- [load from local files (txt, json, csv)](https://huggingface.co./nlp/loading_datasets.html?highlight=csv#from-local-files)
- OR [load from python data (dict, pandas)](https://huggingface.co./nlp/loading_datasets.html?highlight=csv#from-in-memory-data)
- OR [create your own dataset script](https://huggingface.co./nlp/loading_datasets.html?highlight=csv#using-a-custom-dataset-loading-script)
| [
-0.11623457819223404,
-0.1841173768043518,
-0.07161260396242142,
0.17511966824531555,
-0.3280259072780609,
0.13923661410808563,
0.11795967817306519,
0.381742924451828,
0.002251590834930539,
-0.2727222442626953,
0.05691486969590187,
0.09839979559183121,
-0.07723776251077652,
0.21921460330486298,
0.31098002195358276,
-0.05802769958972931,
-0.10293187946081161,
0.18729236721992493,
-0.28998038172721863,
0.03419673070311546,
0.24861127138137817,
0.023550081998109818,
-0.06273787468671799,
0.014808127656579018,
-0.18604959547519684,
-0.21685869991779327,
-0.12376035004854202,
0.10292910039424896,
-0.11955978721380234,
-0.40562522411346436,
0.045382339507341385,
-0.02501893974840641,
0.5199137926101685,
0.17655058205127716,
-0.00012255783076398075,
-0.30129384994506836,
0.14918212592601776,
-0.008922027423977852,
-0.2559584677219391,
-0.3521428406238556,
-0.09115894883871078,
-0.05141794681549072,
0.3022277355194092,
-0.27631500363349915,
-0.1366523951292038,
-0.36661356687545776,
0.044754065573215485,
-0.46327662467956543,
0.8944171071052551,
0.38236644864082336,
0.0668816938996315,
-0.06973101943731308,
0.12017328292131424,
0.1746978461742401,
0.29358920454978943,
0.6498957872390747,
-0.29852011799812317,
0.017333848401904106,
0.2269863337278366,
-0.027604324743151665,
-0.18706895411014557,
0.21038731932640076,
0.03350196033716202,
-0.16015833616256714,
0.41826921701431274,
0.032942820340394974,
-0.31972914934158325,
-0.2667316794395447,
0.10459914803504944,
0.2918638288974762,
0.4435725808143616,
-0.5081270933151245,
-0.06863618642091751,
-0.15882951021194458,
0.19593703746795654,
-0.4047844707965851,
-0.20237360894680023,
0.591252326965332,
-0.45607444643974304,
0.4850003719329834,
0.11115609854459763,
-0.3301268517971039,
-0.45467573404312134,
-0.02336692623794079,
0.4130195081233978,
-0.11923098564147949,
-0.1424248069524765,
-0.034221142530441284,
-0.08781936764717102,
0.11395931988954544,
0.14466233551502228,
-0.34028294682502747,
-0.08196868747472763,
0.2702946662902832,
-0.030417220667004585,
-0.148184671998024,
-0.568871796131134,
-0.11655516177415848,
0.29623928666114807,
0.1948118954896927,
0.35812410712242126,
-0.14922933280467987,
-0.08302738517522812,
-0.2412634789943695,
0.11707867681980133,
-0.03598489612340927,
0.4621577858924866,
0.12294930219650269,
-0.0228782519698143,
-0.1033877283334732,
0.21610605716705322,
-0.11804761737585068,
-0.07146725058555603,
-0.007159936707466841,
-0.19580847024917603,
0.12521176040172577,
0.06821320205926895,
-0.35838761925697327,
-0.06369709223508835,
-0.06358227878808975,
-0.31606054306030273,
-0.06485728919506073,
-0.16414400935173035,
0.121300607919693,
0.15003016591072083,
-0.14854158461093903,
0.2026013284921646,
0.4209899306297302,
0.002455300185829401,
-0.234660342335701,
0.1313377022743225,
-0.01091756671667099,
-0.28929054737091064,
0.34125465154647827,
0.15145541727542877,
0.041026193648576736,
-0.03367765247821808,
-0.0651327520608902,
0.04187648743391037,
-0.18663957715034485,
0.21144548058509827,
0.003503225976601243,
0.2554565370082855,
-0.027918757870793343,
0.225520521402359,
0.05125439539551735,
-0.0815240815281868,
-0.0155559116974473,
-0.1415526419878006,
0.31942251324653625,
-0.19716139137744904,
-0.0013486410025507212,
-0.019552281126379967,
-0.01256589125841856,
-0.0712689533829689,
-0.11709246039390564,
-0.29664355516433716,
0.16671741008758545,
-0.05533001944422722,
0.3410833775997162,
0.05154578760266304,
0.30411309003829956,
-0.00443054037168622,
-0.15689967572689056,
0.06064519286155701,
0.575158417224884,
-0.27983954548835754,
0.07748064398765564,
-0.06367827206850052,
0.19212456047534943,
-0.13204027712345123,
0.3210466206073761,
-0.24032816290855408,
0.2045174539089203,
-0.10772120207548141,
0.21508751809597015,
0.6738166809082031,
-0.11156921833753586,
0.16387350857257843,
0.5188357830047607,
0.05644973739981651,
-0.23707449436187744,
0.11921439319849014,
-0.11641427129507065,
-0.07434342056512833,
-0.002806695643812418,
-0.3140348494052887,
0.5571509003639221,
0.08260875195264816,
0.01825551502406597,
-0.12995703518390656,
-0.2152365744113922,
-0.09700965136289597,
0.004683067090809345,
-0.23405659198760986,
-0.014258431270718575,
0.06036318838596344,
-0.5500678420066833,
0.4852306544780731,
-0.3260752260684967,
0.4003869295120239,
0.23203279078006744,
0.002529915887862444,
0.022987814620137215,
0.13997317850589752,
-0.03116598352789879,
-0.26830294728279114,
-0.25660693645477295,
-0.31449970602989197,
0.22397677600383759,
-0.45106664299964905,
-0.24881400167942047,
-0.3250749707221985,
-0.13213951885700226,
-0.1072455644607544,
-0.021121950820088387,
-0.06251724809408188,
-0.20799534022808075,
-0.10984964668750763,
0.053020548075437546,
-0.21073831617832184,
0.36422210931777954,
-0.05452951788902283,
0.2473112940788269,
-0.3691830337047577,
0.1250728815793991,
0.13142317533493042,
-0.010291432030498981,
0.23380397260189056,
0.176345095038414,
-0.18964023888111115,
0.03401162475347519,
0.007023621816188097,
0.08414443582296371,
0.010062050074338913,
0.20413382351398468,
0.4599420726299286,
-0.27060630917549133,
0.12420657277107239,
-0.7130151987075806,
0.2794923782348633,
0.007425840478390455,
0.18464599549770355,
-0.09204741567373276,
-0.48254671692848206,
0.5747975707054138,
-0.14492934942245483,
0.23111045360565186,
-0.14596496522426605,
0.02744235284626484,
-0.13340258598327637,
-0.077724888920784,
-0.22561131417751312,
0.06281176209449768,
-0.03213789314031601,
0.3259415626525879,
0.3570249080657959,
-0.12372776120901108,
0.0172533318400383,
0.03389221429824829,
-0.22877894341945648,
-0.22015053033828735,
0.15034855902194977,
0.2633676826953888,
-0.24480031430721283,
-0.07236389815807343,
-0.032712455838918686,
-0.00866828765720129,
0.11415620893239975,
0.17046155035495758,
-0.02507430873811245,
0.12046796828508377,
0.20249825716018677,
-0.14061786234378815,
0.30452245473861694,
-0.10037080943584442,
0.4107741415500641,
-0.17753581702709198,
-0.1377764195203781,
-0.012871265411376953,
-0.12090454995632172,
-0.23075710237026215,
-0.16143406927585602,
0.10699716955423355,
-0.17705515027046204,
-0.008562144823372364,
-0.16584239900112152,
-0.4955018162727356,
-0.41690942645072937,
0.23199604451656342,
-0.06793065369129181,
0.2515639364719391,
-0.16291961073875427,
-0.3335672616958618,
0.12842433154582977,
-0.1341257244348526,
-0.10173007100820541,
0.4734622538089752,
-0.007049552630633116,
0.016295352950692177,
-0.2771504819393158,
-0.38154301047325134,
-0.16488194465637207,
0.06597542762756348,
0.36865049600601196,
0.41833508014678955,
0.3976899981498718,
-0.12005135416984558,
0.13771846890449524,
-0.1911897510290146,
0.014920582994818687,
0.04858463257551193,
-0.09082561731338501,
-0.21377722918987274,
-0.12403123825788498,
0.13249251246452332,
-0.5243592262268066,
0.0738314613699913,
-0.11730535328388214,
0.08368214964866638,
-0.23695909976959229,
-0.28719258308410645,
-0.09819792956113815,
0.013112323358654976,
0.14931638538837433,
-0.3908486068248749,
-0.16516441106796265,
-0.10185368359088898,
0.502617597579956,
0.25109145045280457,
0.19040580093860626,
0.04375829920172691,
0.10605818033218384,
0.1319572478532791,
-0.2570900321006775,
-0.10649918764829636,
0.18408609926700592,
-0.20154999196529388,
0.29774656891822815,
-0.39212650060653687,
-0.5845621824264526,
-0.11088468134403229,
-0.006885068025439978,
0.03418790549039841,
0.28568175435066223,
-0.46180614829063416,
0.41268250346183777,
-0.07110340893268585,
0.07117278128862381,
-0.11788593232631683,
-0.010395599529147148,
0.20418325066566467,
-0.02525159902870655,
0.08497018367052078,
-0.020421605557203293,
-0.017281759530305862,
0.29869189858436584,
-0.20029963552951813,
0.28786906599998474,
0.4254688620567322,
0.1723226010799408,
0.05806053802371025,
0.5829063653945923,
0.30137309432029724,
0.10892781615257263,
0.28402915596961975,
-0.08005806803703308,
0.05361035466194153,
-0.026313263922929764,
0.013504818081855774,
-0.20941531658172607,
0.12492375820875168,
0.14099793136119843,
0.10728851705789566,
0.3072510063648224,
-0.036929357796907425,
-0.33212587237358093,
-0.28665295243263245,
-0.4147660732269287,
-0.21308183670043945,
0.30389243364334106,
-0.3870818316936493,
0.23485973477363586,
-0.1826094686985016,
-0.18359370529651642,
-0.0711640864610672,
-0.3148888647556305,
0.050903234630823135,
0.223403662443161,
0.35175684094429016,
0.20501132309436798,
-0.26657727360725403,
0.4281856417655945,
-0.6509034037590027,
0.36899179220199585,
0.0584447979927063,
-0.1497984528541565,
0.05009743571281433,
-0.004402024205774069,
0.17924967408180237,
0.0758812353014946,
-0.1050071269273758,
0.16946415603160858,
-0.018786074593663216,
-0.022987572476267815,
0.14634069800376892,
-0.5188401341438293,
0.39623966813087463,
-0.17134439945220947,
0.027793027460575104,
0.012689119204878807,
0.19453543424606323,
-0.43167978525161743,
-0.34926384687423706,
0.11258293688297272,
0.2232152372598648,
-0.12154310941696167,
-0.331159383058548,
0.2177026867866516,
-0.06027273088693619,
-0.24204523861408234,
-0.06904469430446625,
0.37267550826072693,
0.033900439739227295,
-0.047613710165023804,
-0.13076543807983398,
-0.04701978340744972,
0.12143260985612869,
0.11338749527931213,
-0.2611371576786041,
0.13783729076385498,
-0.28408902883529663,
0.09319937229156494,
0.14680559933185577,
0.4258970022201538,
0.07082593441009521,
0.2117328941822052,
0.13413195312023163,
-0.34086161851882935,
-0.12266544252634048,
-0.22335761785507202,
0.621730387210846,
0.27249881625175476,
0.15294727683067322,
0.09791528433561325,
0.28170016407966614,
-0.21737466752529144,
-0.1763012856245041,
-0.09220187366008759,
0.029144268482923508,
-0.06998015940189362,
-0.42138558626174927,
-0.3758067190647125,
0.5728220343589783,
0.03647726774215698,
-0.021539069712162018,
0.1576511710882187,
0.14217351377010345,
-0.28869274258613586,
0.5798207521438599,
0.24262966215610504,
1.1859331130981445,
-0.28146785497665405,
0.31370699405670166,
-0.03596223518252373,
-0.36061787605285645,
0.5188568830490112,
-0.20172934234142303,
-0.27785560488700867,
-0.4951658546924591,
0.38379696011543274,
-0.04490673542022705,
-0.18553100526332855,
0.37482815980911255,
0.376426637172699,
-0.030154578387737274,
0.12418890744447708,
0.166664257645607,
-0.121605783700943,
0.05953569710254669,
0.47545430064201355,
-0.3123103082180023,
-0.34697622060775757,
-0.1508464515209198,
-0.07249150425195694,
-0.14247477054595947,
0.232831671833992,
0.1278475970029831,
-0.45531782507896423,
-0.36892184615135193,
0.06390176713466644,
-0.2599179446697235,
0.10600897669792175,
-0.2166537195444107,
-0.2464064210653305,
-0.263786256313324,
-0.638937771320343,
0.4127868711948395,
0.3639930486679077,
0.22060644626617432,
-0.04784112051129341,
-0.21090304851531982,
0.08878754824399948,
-0.3631049692630768,
-0.18496012687683105,
0.12916606664657593,
-0.14812707901000977,
0.03022756241261959,
-0.1457625776529312,
-0.11701958626508713,
0.035430632531642914,
0.1157597079873085,
-0.17766128480434418,
-0.019819606095552444,
-0.1916961967945099,
0.4527113735675812,
-0.2664206624031067,
-0.10803959518671036,
0.19887109100818634,
-0.2783825397491455,
0.08723249286413193,
0.034055132418870926,
0.31136366724967957,
0.04984861984848976,
-0.07525179535150528,
0.2784469425678253,
-0.22621776163578033,
0.02781749702990055,
0.22859454154968262,
0.16524992883205414,
-0.2648727595806122,
0.44301149249076843,
0.4258752465248108,
-0.09707011282444,
-0.25460851192474365,
0.46422380208969116,
0.5814706087112427,
-0.8045473694801331,
-0.02388317510485649,
-0.0502198189496994,
0.1676587164402008,
0.024947986006736755,
0.11201496422290802,
-0.01312509085983038,
-0.09906873852014542,
0.03518993780016899,
-0.46549445390701294,
-0.32298707962036133,
0.08474759012460709,
-0.057635433971881866,
0.10016036033630371,
0.3351861238479614,
0.10849282145500183,
0.05705320090055466,
0.06976903229951859,
-0.19205914437770844,
0.17547237873077393,
0.6514863967895508,
0.16727960109710693,
0.12899930775165558,
0.044356491416692734,
0.05866916477680206,
-0.010352068580687046,
-0.02942405641078949,
0.15425308048725128,
0.03348403796553612,
-0.1404445916414261,
-0.05531333014369011,
0.22434088587760925,
-0.11151158809661865,
-0.3583466410636902,
-0.30706554651260376,
-0.35294052958488464,
-0.05047788843512535,
-0.14498591423034668,
-0.0487511046230793,
-0.06242743507027626,
-0.048514436930418015,
0.11967755854129791,
0.09116733074188232,
-0.0660633072257042,
-0.5188177227973938,
0.16587625443935394,
-0.12332584708929062,
0.21302905678749084,
-0.027788620442152023,
0.1678663045167923,
-0.014582050032913685,
-0.0924045667052269,
0.06336047500371933,
0.019591573625802994,
0.34707528352737427,
0.20046566426753998,
0.33112573623657227,
-0.11110337823629379,
-0.01902942918241024,
-0.20461244881153107,
0.3492092788219452,
0.14204499125480652,
0.04396377503871918,
0.04862741008400917,
0.3234451711177826,
0.06121789664030075,
-0.1930478811264038,
0.24553310871124268,
-0.17272059619426727,
-0.18861496448516846,
-0.25194215774536133,
0.0988532155752182,
0.03157610446214676,
0.10778149962425232,
-0.4496343433856964,
-0.23619265854358673,
0.17203684151172638,
0.06814946979284286,
-0.2589748799800873,
0.27036571502685547,
0.14384528994560242,
-0.039956722408533096,
-0.007923359051346779,
0.2794294059276581,
0.2292509824037552,
-0.08278074860572815,
-0.14109349250793457,
0.17375065386295319,
0.6221063733100891,
0.35926955938339233,
0.2903221845626831,
-0.2367408275604248,
0.06427197903394699,
0.3366841971874237,
0.18424731492996216,
0.0393265001475811,
0.20483262836933136,
0.6484077572822571,
0.5068117380142212,
-0.0744929239153862,
0.11960915476083755,
0.2935684621334076,
0.049009453505277634,
0.03089696727693081,
-0.25908687710762024,
-0.08743663877248764,
-0.12445323169231415,
-0.19977812469005585,
-0.2683987021446228,
-0.15598931908607483,
-0.07701190561056137,
0.32390695810317993,
0.194288432598114,
-0.028334541246294975,
0.028101205825805664,
0.0917002484202385,
0.30897948145866394,
-0.17272520065307617,
0.02200634777545929,
0.0015084290644153953,
0.010933653451502323,
0.040897615253925323,
0.4318581819534302,
0.24735650420188904,
0.0948859453201294,
-0.12778699398040771,
0.2288217842578888,
0.026228640228509903,
-0.09294784814119339,
0.21523043513298035,
0.19966153800487518,
0.396843820810318,
0.035862430930137634,
0.18723462522029877,
0.037547849118709564,
0.06753212958574295,
-0.05572819709777832,
0.1819804608821869,
-0.15538400411605835,
-0.07866637408733368,
-0.1503336876630783,
-0.051529109477996826,
-0.3914929926395416,
-0.198607936501503,
0.06892614811658859,
-0.17805640399456024,
0.20385095477104187,
0.5880893468856812,
-0.24701930582523346,
-0.049937114119529724,
-0.16663596034049988,
0.00043457603896968067,
-0.03191368654370308,
0.4568953514099121,
0.36623191833496094,
0.14163050055503845,
-0.30244699120521545,
-0.3249179422855377,
-0.13995298743247986,
0.09046243876218796,
-0.014410941861569881,
-0.09643489122390747,
-0.05399179086089134,
-0.0555766299366951,
0.22305022180080414,
0.4540475606918335,
0.023300519213080406,
0.17148026823997498,
-0.12571406364440918,
0.4537195861339569,
-0.22176802158355713,
-0.010113283060491085,
0.37255924940109253,
0.5218804478645325,
-0.10128170251846313,
-0.13284315168857574,
0.2542346715927124,
0.5032437443733215,
-0.09317484498023987,
-0.157328799366951,
0.056906770914793015,
0.2313569039106369,
-0.25062295794487,
0.20016852021217346,
0.03537285700440407,
0.1330995112657547,
-0.007061309646815062,
-0.1503179967403412,
0.09966892004013062,
-0.027995437383651733,
0.059136100113391876,
0.6108750700950623,
0.24947233498096466,
-0.10200654715299606,
-0.2170572280883789,
-0.11341237276792526,
-0.05578738451004028,
0.2859751880168915,
-0.2583237588405609,
-0.1287272870540619,
-0.3091922998428345,
-0.06209065765142441,
-0.2419237196445465,
0.025370623916387558,
0.0015789661556482315,
0.4026339650154114,
-0.15525579452514648,
0.06434924155473709,
-0.16876113414764404,
-0.04738330468535423,
0.2202807068824768,
-0.3101285398006439,
0.08213483542203903,
0.32826748490333557,
0.1244426891207695,
0.6768018007278442,
0.10875978320837021,
-0.5213273763656616,
0.19877082109451294,
0.2741398811340332,
0.00410881545394659,
0.21930517256259918,
0.0936860516667366,
0.05322783812880516,
0.07330220192670822,
-0.03502911329269409,
0.45862334966659546,
-0.02953355759382248,
-0.029490958899259567,
-0.4290831983089447,
-0.43094953894615173
] |
https://github.com/huggingface/datasets/issues/189 | [Question] BERT-style multiple choice formatting | Hi @sarahwie, can you details this a little more?
I'm not sure I understand what you refer to and what you mean when you say "Previously, this was done by passing a list of InputFeatures to the dataloader instead of a list of InputFeature" | Hello, I am wondering what the equivalent formatting of a dataset should be to allow for multiple-choice answering prediction, BERT-style. Previously, this was done by passing a list of `InputFeatures` to the dataloader instead of a list of `InputFeature`, where `InputFeatures` contained lists of length equal to the number of answer choices in the MCQ instead of single items. I'm a bit confused on what the output of my feature conversion function should be when using `dataset.map()` to ensure similar behavior.
Thanks! | 44 | [Question] BERT-style multiple choice formatting
Hello, I am wondering what the equivalent formatting of a dataset should be to allow for multiple-choice answering prediction, BERT-style. Previously, this was done by passing a list of `InputFeatures` to the dataloader instead of a list of `InputFeature`, where `InputFeatures` contained lists of length equal to the number of answer choices in the MCQ instead of single items. I'm a bit confused on what the output of my feature conversion function should be when using `dataset.map()` to ensure similar behavior.
Thanks!
Hi @sarahwie, can you details this a little more?
I'm not sure I understand what you refer to and what you mean when you say "Previously, this was done by passing a list of InputFeatures to the dataloader instead of a list of InputFeature" | [
0.18983325362205505,
-0.4081771969795227,
-0.02667146734893322,
-0.07893255352973938,
0.1755470484495163,
-0.11440084129571915,
0.29332637786865234,
0.23464754223823547,
-0.11313829571008682,
-0.006701129954308271,
-0.07507651299238205,
0.5407446622848511,
-0.25638601183891296,
0.21988390386104584,
0.0012710931478068233,
-0.4498932659626007,
0.16272614896297455,
0.13243594765663147,
-0.1213601678609848,
-0.11142545193433762,
-0.22482644021511078,
-0.18424533307552338,
-0.25302571058273315,
-0.10311741381883621,
-0.1576479971408844,
0.06863229721784592,
-0.3666488528251648,
-0.2160356044769287,
-0.3754041790962219,
-0.3336400091648102,
-0.19366523623466492,
0.28235217928886414,
-0.21831142902374268,
-0.03667671978473663,
-0.00012514082482084632,
-0.4015752375125885,
-0.1773587018251419,
-0.174785777926445,
-0.11024003475904465,
-0.11791319400072098,
-0.8842170834541321,
-0.0070363678969442844,
0.38440072536468506,
0.01858721300959587,
0.007791478652507067,
0.026045018807053566,
0.02693788707256317,
-0.30778056383132935,
0.48101407289505005,
-0.00877204816788435,
0.07200628519058228,
-0.03722210228443146,
0.036857470870018005,
0.06419794261455536,
0.13089828193187714,
0.5086039900779724,
0.01867241971194744,
-0.04318336024880409,
0.6300452351570129,
0.0035536789800971746,
-0.20570042729377747,
0.3613415062427521,
0.09690272063016891,
0.10612980276346207,
0.34405022859573364,
-0.026202095672488213,
-0.0527590773999691,
-0.0893978476524353,
-0.23088891804218292,
0.3512217402458191,
0.7839899063110352,
-0.09999584406614304,
-0.26931771636009216,
-0.03707228600978851,
0.021386830136179924,
0.06871086359024048,
-0.18641172349452972,
0.014608637429773808,
-0.14011618494987488,
-0.06115395948290825,
-0.4859077036380768,
-0.32537612318992615,
-0.3561825752258301,
0.06938924640417099,
-0.27644792199134827,
0.42656078934669495,
0.008110071532428265,
-0.03517956659197807,
-0.052210889756679535,
-0.2725643217563629,
-0.021641544997692108,
-0.43927112221717834,
0.3904174268245697,
0.1420876532793045,
0.1063593178987503,
-0.379153311252594,
-0.18745790421962738,
0.07733535766601562,
0.3710349500179291,
-0.29466238617897034,
-0.09317895770072937,
-0.0026960226241499186,
-0.5204654335975647,
-0.012472649104893208,
0.5711631774902344,
0.002248713979497552,
-0.0457250215113163,
0.07216697186231613,
-0.34575319290161133,
-0.2913959324359894,
-0.2567959129810333,
0.04164733737707138,
0.12521569430828094,
0.22841861844062805,
0.0716412216424942,
0.12182886153459549,
0.05681386590003967,
-0.32156211137771606,
0.06382255256175995,
0.07790389657020569,
-0.3623914122581482,
-0.2042137086391449,
0.03367432951927185,
0.15451663732528687,
-0.08497172594070435,
0.5170227289199829,
-0.19649600982666016,
0.20776665210723877,
0.08788161724805832,
-0.356895387172699,
0.1389588713645935,
-0.1019803062081337,
-0.527290940284729,
-0.2540569305419922,
0.1949182003736496,
0.2871018052101135,
-0.010821481235325336,
0.3692454695701599,
0.3783961236476898,
-0.23002678155899048,
0.07069478929042816,
0.024962684139609337,
0.564206600189209,
-0.18388107419013977,
-0.35279935598373413,
0.3267548382282257,
0.2906136214733124,
0.3297918140888214,
-0.08868246525526047,
0.501160740852356,
-0.2108786553144455,
-0.014086611568927765,
-0.15334878861904144,
0.017584431916475296,
0.21666336059570312,
-0.21159720420837402,
0.041119106113910675,
0.35120153427124023,
0.04503424093127251,
-0.33556750416755676,
0.13014279305934906,
-0.5346511602401733,
0.049892738461494446,
-0.29566824436187744,
0.00257532368414104,
0.4049507975578308,
-0.46270596981048584,
0.09012237936258316,
-0.19625265896320343,
0.23597653210163116,
0.22379319369792938,
0.26253268122673035,
-0.07536940276622772,
-0.05960937961935997,
-0.011267870664596558,
0.3569810390472412,
0.3155226409435272,
-0.1638091802597046,
-0.31837067008018494,
0.229786217212677,
0.160812646150589,
0.11740345507860184,
-0.03637678548693657,
0.23446953296661377,
0.15473641455173492,
0.26902490854263306,
0.05115644261240959,
-0.1387484222650528,
-0.30224478244781494,
0.36625200510025024,
-0.018000775948166847,
-0.04290363937616348,
0.12097184360027313,
-0.04484029859304428,
-0.07994305342435837,
-0.14226490259170532,
-0.08018451929092407,
0.1147543266415596,
0.2186724990606308,
-0.205487459897995,
-0.0574701651930809,
-0.42732080817222595,
0.1527346968650818,
0.02900855429470539,
-0.12003222107887268,
-0.17264285683631897,
-0.63584303855896,
-0.07989735901355743,
-0.0288462545722723,
-0.18700334429740906,
0.22696945071220398,
-0.2735061049461365,
-0.2580793499946594,
0.05828803777694702,
-0.3363605737686157,
0.10470392554998398,
-0.013620543293654919,
0.02001439966261387,
-0.24578633904457092,
-0.2998508810997009,
-0.2771872878074646,
-0.06258799880743027,
0.5232807397842407,
0.018669918179512024,
0.05305343121290207,
0.11633868515491486,
0.0966973826289177,
0.002988348715007305,
0.13223688304424286,
0.3557765483856201,
0.19228705763816833,
0.2523918151855469,
-0.03136144205927849,
0.2370244711637497,
0.45958828926086426,
-0.04832536727190018,
-0.038657598197460175,
0.11578815430402756,
0.4056984484195709,
-0.23331955075263977,
0.3231179714202881,
0.17757347226142883,
0.09546288102865219,
-0.0138601865619421,
-0.8099329471588135,
0.1893579065799713,
-0.07852783799171448,
0.11698033660650253,
-0.14940395951271057,
0.2087835967540741,
-0.19297188520431519,
0.2378271520137787,
-0.060355789959430695,
-0.4787614643573761,
-0.12163136154413223,
0.26565805077552795,
0.15038207173347473,
0.07501335442066193,
-0.4771553874015808,
0.27814239263534546,
0.3794211447238922,
-0.01787433959543705,
0.22816415131092072,
-0.06022470444440842,
-0.017266787588596344,
-0.09874331206083298,
0.4197058081626892,
-0.2194468230009079,
0.23195821046829224,
0.15621227025985718,
-0.06431907415390015,
-0.1458723396062851,
0.008576455526053905,
-0.12822562456130981,
-0.0028875048737972975,
-0.03820915147662163,
-0.10356073826551437,
0.10288160294294357,
0.19065600633621216,
-0.10545192658901215,
0.002276940969750285,
0.07328981906175613,
-0.0567629300057888,
-0.0949905589222908,
-0.1219477728009224,
0.005622597876936197,
-0.5228873491287231,
-0.016359154134988785,
-0.15502722561359406,
-0.5842822790145874,
-0.19491077959537506,
-0.18189583718776703,
0.2008170783519745,
-0.19690655171871185,
-0.08773338794708252,
0.006360611412674189,
0.08728300780057907,
0.3509708642959595,
0.13916289806365967,
0.0905078649520874,
0.07922912389039993,
-0.017442205920815468,
0.06981471180915833,
0.0482323095202446,
0.004030866548418999,
0.03277776017785072,
0.19473348557949066,
0.10559038817882538,
0.011595897376537323,
-0.35372400283813477,
0.015374623239040375,
0.19428400695323944,
-0.049460653215646744,
0.010338283143937588,
0.33580514788627625,
0.08736906200647354,
-0.4954448640346527,
0.13991810381412506,
0.14058904349803925,
0.3530600965023041,
-0.052326176315546036,
0.030835386365652084,
0.3473845422267914,
0.017780223861336708,
0.09395381808280945,
-0.3488006293773651,
-0.1854473054409027,
0.04607227444648743,
0.09167945384979248,
-0.024083873257040977,
0.10844918340444565,
-0.23966246843338013,
0.1782774180173874,
-0.1272115260362625,
-0.3487854301929474,
-0.24792636930942535,
-0.20571382343769073,
0.11752548068761826,
0.04890187084674835,
-0.14117582142353058,
-0.017388172447681427,
-0.21726776659488678,
0.1409630924463272,
-0.13892069458961487,
0.18003664910793304,
0.27049025893211365,
-0.2778683602809906,
-0.0454745814204216,
0.12244541198015213,
0.09823621064424515,
0.42160651087760925,
0.3028854727745056,
0.3918447494506836,
0.08133598417043686,
-0.07759658992290497,
0.10318708419799805,
0.11008727550506592,
0.321149617433548,
0.009788180701434612,
0.14529140293598175,
0.04953543841838837,
-0.13081257045269012,
0.78508061170578,
0.47630515694618225,
0.14479032158851624,
0.11252351105213165,
0.00275333016179502,
-0.16256745159626007,
-0.1379137933254242,
-0.10453350841999054,
0.26983121037483215,
-0.0767843946814537,
0.19053742289543152,
0.4577786326408386,
0.08809152245521545,
-0.06342148035764694,
0.03595435619354248,
0.29231977462768555,
-0.2363467663526535,
-0.2863628566265106,
0.42527392506599426,
-0.17180947959423065,
0.25057122111320496,
0.014178016223013401,
-0.11715511232614517,
-0.2502310276031494,
-0.12013685703277588,
-0.06141119450330734,
-0.11164309084415436,
0.34356606006622314,
-0.3986707627773285,
-0.09759087860584259,
-0.25619882345199585,
-0.15704910457134247,
0.29891860485076904,
0.47733354568481445,
0.10383449494838715,
-0.013509053736925125,
-0.0769287645816803,
0.16502852737903595,
0.34249287843704224,
0.517250120639801,
-0.039350129663944244,
-0.11622565984725952,
-0.09208127856254578,
0.0562993623316288,
0.17325037717819214,
-0.03681081160902977,
-0.6540711522102356,
0.32207444310188293,
-0.2926158607006073,
0.13349077105522156,
-0.2254885584115982,
-0.35192805528640747,
0.17181231081485748,
0.14538060128688812,
-0.10473261773586273,
-0.2261105477809906,
0.1381576806306839,
0.5807726383209229,
0.0008979708072729409,
0.25213271379470825,
0.22878926992416382,
-0.1592707633972168,
0.19195708632469177,
-0.09325652569532394,
0.18506529927253723,
-0.006664058193564415,
0.3489798307418823,
0.21433115005493164,
0.06443051248788834,
0.16485755145549774,
-0.39185938239097595,
0.22942419350147247,
0.15006153285503387,
0.19573767483234406,
0.20301271975040436,
-0.6772521734237671,
-0.06086090952157974,
0.08496527373790741,
-0.11696690320968628,
0.6384950876235962,
0.3110851049423218,
0.2727367579936981,
-0.08074910938739777,
0.09046310186386108,
-0.014860443770885468,
-0.1867108941078186,
-0.07817555218935013,
0.3036338984966278,
0.08140677213668823,
-0.2078109085559845,
-0.416169136762619,
0.38397490978240967,
-0.11780273914337158,
-0.2680467963218689,
-0.1368650645017624,
0.5329195261001587,
0.0063750967383384705,
0.032525524497032166,
0.41089510917663574,
0.8881409764289856,
-0.18266144394874573,
0.3090895116329193,
0.13335886597633362,
0.07515903562307358,
0.3711300492286682,
-0.13379494845867157,
0.22359661757946014,
-0.22098933160305023,
0.1054655984044075,
-0.1843821108341217,
-0.1960986703634262,
-0.00030952002271078527,
0.5590389370918274,
-0.6933904886245728,
0.2738441526889801,
-0.15490444004535675,
0.15904997289180756,
0.1415613293647766,
-0.062247276306152344,
0.31148844957351685,
-0.1365654021501541,
-0.13445068895816803,
-0.012795763090252876,
-0.20866385102272034,
-0.13177894055843353,
-0.15400853753089905,
-0.04845930635929108,
0.03196560963988304,
0.005609406623989344,
-0.31481584906578064,
-0.06546603888273239,
-0.5026325583457947,
-0.22931405901908875,
0.07046796381473541,
-0.13271157443523407,
0.4928193986415863,
0.47302302718162537,
0.11012987047433853,
0.12637826800346375,
-0.08461318165063858,
-0.18574944138526917,
0.13388431072235107,
0.2864260673522949,
-0.23144851624965668,
0.10738258808851242,
0.5054354071617126,
-0.02876119874417782,
-0.3097275495529175,
0.23615434765815735,
-0.12689250707626343,
-0.0892120897769928,
-0.4850243926048279,
0.1137210875749588,
0.7107089757919312,
-0.5381379723548889,
-0.4216561019420624,
-0.03158736601471901,
0.12211253494024277,
0.028233230113983154,
-0.08895724266767502,
0.26383456587791443,
0.11011478304862976,
0.5779934525489807,
0.23609013855457306,
0.157501682639122,
0.24454250931739807,
-0.13318346440792084,
0.14268632233142853,
-0.10161645710468292,
0.3163881301879883,
0.20700937509536743,
-0.14301596581935883,
-0.1376817673444748,
0.08183921873569489,
0.22919102013111115,
-0.10338233411312103,
0.13760650157928467,
-0.2527719736099243,
-0.08193761855363846,
-0.03888706490397453,
0.33960410952568054,
0.34378546476364136,
0.3037850260734558,
-0.009304904378950596,
0.049746379256248474,
-0.11958938837051392,
0.2682492136955261,
-0.22673344612121582,
0.1715279370546341,
0.19719402492046356,
-0.15251551568508148,
0.06678912788629532,
0.2607312798500061,
-0.17686215043067932,
-0.0941503643989563,
0.114686518907547,
0.3973579406738281,
-0.002525784308090806,
-0.20133496820926666,
-0.22507244348526,
-0.05165533348917961,
-0.040725432336330414,
-0.22952818870544434,
-0.22013945877552032,
-0.12144709378480911,
-0.10964029282331467,
0.13896630704402924,
0.09552177786827087,
-0.07645732909440994,
-0.12439626455307007,
-0.12791919708251953,
-0.008751492947340012,
-0.124936543405056,
-0.0020421319641172886,
-0.06993533670902252,
-0.16730555891990662,
0.33069726824760437,
0.13859660923480988,
-0.34176239371299744,
-0.19411781430244446,
0.12415028363466263,
0.3273497223854065,
-0.04631177335977554,
0.17618295550346375,
0.12686513364315033,
0.06882349401712418,
-0.2199273556470871,
-0.07351956516504288,
0.43982845544815063,
0.279468297958374,
0.03449907526373863,
0.028155971318483353,
0.09866365045309067,
0.163574680685997,
0.09105563163757324,
0.29285115003585815,
0.05899430811405182,
0.0481066070497036,
0.09166978299617767,
0.04486212134361267,
0.08739276975393295,
-0.10868420451879501,
-0.218077152967453,
0.5362926125526428,
0.10885220766067505,
0.16727381944656372,
0.35398221015930176,
0.058678314089775085,
0.01752314530313015,
0.37596365809440613,
-0.02889471873641014,
-0.35815805196762085,
0.0637383759021759,
0.014865649864077568,
0.6164770126342773,
-0.09675861150026321,
0.060041092336177826,
0.15797939896583557,
0.2112785130739212,
0.06314340978860855,
-0.003104474162682891,
0.07378432899713516,
0.21520595252513885,
0.11956258863210678,
-0.1352907419204712,
0.49863892793655396,
-0.016308991238474846,
0.21603018045425415,
0.22185875475406647,
0.10694896429777145,
0.44822296500205994,
0.3513822555541992,
0.13832300901412964,
-0.2611650228500366,
-0.5070871710777283,
-0.00582129368558526,
0.08295252174139023,
-0.14927959442138672,
-0.18763814866542816,
-0.023020895197987556,
-0.220364511013031,
-0.34096360206604004,
-0.030820239335298538,
-0.693973183631897,
-0.1361895501613617,
0.46857306361198425,
0.32330021262168884,
0.5033946633338928,
-0.12030564993619919,
-0.04962632805109024,
0.105863556265831,
0.29202592372894287,
-0.12352444976568222,
0.18553689122200012,
0.033744655549526215,
0.027988296002149582,
0.10734627395868301,
0.341978520154953,
-0.0009038878488354385,
0.2166767567396164,
-0.18185113370418549,
-0.031961310654878616,
-0.3361883759498596,
-0.08698061853647232,
0.2088310569524765,
-0.23594452440738678,
0.22233764827251434,
-0.07854901999235153,
0.15231919288635254,
0.011358083225786686,
0.05159839242696762,
0.15602988004684448,
0.06995560973882675,
0.006509854458272457,
-0.2356918454170227,
-0.5836459398269653,
0.21649886667728424,
-0.25015988945961,
0.08592205494642258,
-0.03139951825141907,
-0.6951826810836792,
-0.02692946419119835,
0.05683095380663872,
-0.10170379281044006,
-0.08000952750444412,
0.14819759130477905,
-0.012619337067008018,
0.26396530866622925,
-0.029805989935994148,
0.36169713735580444,
0.014449600130319595,
-0.32095739245414734,
-0.17841556668281555,
-0.2791799306869507,
-0.11175796389579773,
0.24921168386936188,
-0.12218495458364487,
0.07240942120552063,
-0.02137734740972519,
0.05432417243719101,
0.3683215379714966,
0.05567153915762901,
-0.5797141194343567,
-0.25978371500968933,
0.4736153185367584,
-0.1560892015695572,
0.16441193222999573,
0.2888821065425873,
0.25900229811668396,
-0.02821209840476513,
-0.06761839985847473,
0.27827540040016174,
0.31077009439468384,
-0.1515820175409317,
-0.2304983288049698,
0.010738945566117764,
-0.24945513904094696,
-0.059917762875556946,
-0.22761529684066772,
0.36596646904945374,
0.27638158202171326,
0.10707338154315948,
-0.20322756469249725,
0.2864719033241272,
0.4057309031486511,
0.11927662044763565,
0.09432721138000488,
0.11116784065961838,
0.6024981141090393,
-0.14940732717514038,
0.2883361279964447,
-0.05454830452799797,
0.02351175993680954,
0.09809593111276627,
-0.16385097801685333,
-0.6133046746253967,
-0.022443752735853195,
-0.023944243788719177,
-0.32011792063713074,
0.13848373293876648,
0.41740304231643677,
-0.12012837082147598,
0.18614080548286438,
-0.24419806897640228,
0.2617795467376709,
0.13630367815494537,
-0.22383356094360352,
-0.34966328740119934,
-0.30819305777549744,
-0.045921895653009415,
-0.24816477298736572,
-0.014777674339711666,
-0.7189199328422546,
-0.24108226597309113,
0.23456324636936188,
-0.11553258448839188,
-0.1438896656036377,
0.04211645573377609,
-0.0393071249127388,
-0.16625702381134033,
-0.36295104026794434,
0.6250200867652893,
0.036941900849342346,
0.10133004933595657,
-0.31193286180496216,
-0.4519559144973755
] |
https://github.com/huggingface/datasets/issues/189 | [Question] BERT-style multiple choice formatting | I think I've resolved it. For others' reference: to convert from using the [`MultipleChoiceDataset` class](https://github.com/huggingface/transformers/blob/a34a9896ac2a4a33ff9cd805c76eed914c8d8965/examples/multiple-choice/utils_multiple_choice.py#L82)/[`run_multiple_choice.py`](https://github.com/huggingface/transformers/blob/a34a9896ac2a4a33ff9cd805c76eed914c8d8965/examples/multiple-choice/run_multiple_choice.py) script in Huggingface Transformers, I've done the following for hellaswag:
1. converted the `convert_examples_to_features()` function to only take one input and return a dictionary rather than a list:
```
def convert_examples_to_features(example, tokenizer, max_length):
choices_inputs = defaultdict(list)
for ending_idx, ending in enumerate(example['endings']['ending']):
text_a = example['ctx']
text_b = ending
inputs = tokenizer.encode_plus(
text_a,
text_b,
add_special_tokens=True,
max_length=max_length,
pad_to_max_length=True,
return_overflowing_tokens=True,
)
if "num_truncated_tokens" in inputs and inputs["num_truncated_tokens"] > 0:
logger.info(
"Attention! you are cropping tokens (swag task is ok). "
"If you are training ARC and RACE and you are poping question + options,"
"you need to try to use a bigger max seq length!"
)
for key in inputs:
choices_inputs[key].append(inputs[key])
choices_inputs['label'] = int(example['label'])
return choices_inputs
```
2. apply this directly (instance-wise) to dataset, convert dataset to torch tensors. Dataset is then ready to be passed to `Trainer` instance.
```
dataset['train'] = dataset['train'].map(lambda x: convert_examples_to_features(x, tokenizer, max_length), batched=False)
columns = ['input_ids', 'token_type_ids', 'attention_mask', 'label']
dataset['train'].set_format(type='torch', columns=columns)
``` | Hello, I am wondering what the equivalent formatting of a dataset should be to allow for multiple-choice answering prediction, BERT-style. Previously, this was done by passing a list of `InputFeatures` to the dataloader instead of a list of `InputFeature`, where `InputFeatures` contained lists of length equal to the number of answer choices in the MCQ instead of single items. I'm a bit confused on what the output of my feature conversion function should be when using `dataset.map()` to ensure similar behavior.
Thanks! | 168 | [Question] BERT-style multiple choice formatting
Hello, I am wondering what the equivalent formatting of a dataset should be to allow for multiple-choice answering prediction, BERT-style. Previously, this was done by passing a list of `InputFeatures` to the dataloader instead of a list of `InputFeature`, where `InputFeatures` contained lists of length equal to the number of answer choices in the MCQ instead of single items. I'm a bit confused on what the output of my feature conversion function should be when using `dataset.map()` to ensure similar behavior.
Thanks!
I think I've resolved it. For others' reference: to convert from using the [`MultipleChoiceDataset` class](https://github.com/huggingface/transformers/blob/a34a9896ac2a4a33ff9cd805c76eed914c8d8965/examples/multiple-choice/utils_multiple_choice.py#L82)/[`run_multiple_choice.py`](https://github.com/huggingface/transformers/blob/a34a9896ac2a4a33ff9cd805c76eed914c8d8965/examples/multiple-choice/run_multiple_choice.py) script in Huggingface Transformers, I've done the following for hellaswag:
1. converted the `convert_examples_to_features()` function to only take one input and return a dictionary rather than a list:
```
def convert_examples_to_features(example, tokenizer, max_length):
choices_inputs = defaultdict(list)
for ending_idx, ending in enumerate(example['endings']['ending']):
text_a = example['ctx']
text_b = ending
inputs = tokenizer.encode_plus(
text_a,
text_b,
add_special_tokens=True,
max_length=max_length,
pad_to_max_length=True,
return_overflowing_tokens=True,
)
if "num_truncated_tokens" in inputs and inputs["num_truncated_tokens"] > 0:
logger.info(
"Attention! you are cropping tokens (swag task is ok). "
"If you are training ARC and RACE and you are poping question + options,"
"you need to try to use a bigger max seq length!"
)
for key in inputs:
choices_inputs[key].append(inputs[key])
choices_inputs['label'] = int(example['label'])
return choices_inputs
```
2. apply this directly (instance-wise) to dataset, convert dataset to torch tensors. Dataset is then ready to be passed to `Trainer` instance.
```
dataset['train'] = dataset['train'].map(lambda x: convert_examples_to_features(x, tokenizer, max_length), batched=False)
columns = ['input_ids', 'token_type_ids', 'attention_mask', 'label']
dataset['train'].set_format(type='torch', columns=columns)
``` | [
0.1992313712835312,
-0.5757999420166016,
0.010819805786013603,
-0.06993655860424042,
0.2859193980693817,
-0.15366728603839874,
0.2446015179157257,
0.24167542159557343,
-0.009871233254671097,
0.01801912486553192,
-0.1549077332019806,
0.4558008909225464,
-0.2713591456413269,
0.07535450905561447,
0.12558700144290924,
-0.37995243072509766,
0.15262740850448608,
0.06899341940879822,
-0.2016223967075348,
-0.06751982122659683,
-0.11300859600305557,
0.028114499524235725,
-0.16656041145324707,
-0.02064732275903225,
-0.35132792592048645,
0.046457089483737946,
-0.36015427112579346,
-0.06562928110361099,
-0.302508682012558,
-0.39813727140426636,
-0.13272543251514435,
0.19807372987270355,
-0.25676771998405457,
0.11358483135700226,
-0.00013058971671853215,
-0.31119462847709656,
-0.21208462119102478,
-0.214484304189682,
-0.0953419879078865,
-0.03154289349913597,
-0.720818281173706,
-0.011711298488080502,
0.3938957750797272,
0.10779374837875366,
-0.025060908868908882,
-0.024407371878623962,
0.0035535588394850492,
-0.13218991458415985,
0.6255208849906921,
-0.02035323902964592,
0.009229087270796299,
0.04004593566060066,
0.08174990862607956,
0.0990011915564537,
0.16138499975204468,
0.5654865503311157,
-0.07321808487176895,
0.08077124506235123,
0.5695481300354004,
-0.0895330011844635,
-0.23184435069561005,
0.5064967274665833,
0.03164716437458992,
0.07505466043949127,
0.29418256878852844,
0.1139432042837143,
-0.015605716966092587,
-0.08051599562168121,
-0.22278228402137756,
0.4199119806289673,
0.5713578462600708,
-0.30700621008872986,
-0.4449508786201477,
-0.28117117285728455,
0.07755286991596222,
-0.0533093623816967,
-0.18529567122459412,
0.04425524175167084,
-0.24635545909404755,
0.0007776309503242373,
-0.3870478570461273,
-0.14347636699676514,
-0.2480069100856781,
0.035836365073919296,
-0.26923590898513794,
0.511878490447998,
-0.05074466019868851,
0.021875252947211266,
-0.006453304085880518,
-0.23134659230709076,
-0.15190981328487396,
-0.37972119450569153,
0.30629515647888184,
0.20800676941871643,
-0.04423924535512924,
-0.39680689573287964,
-0.1380617320537567,
-0.07668580859899521,
0.4508565068244934,
-0.24334178864955902,
-0.008572511374950409,
0.02310919016599655,
-0.4934573173522949,
-0.0227420162409544,
0.6486945152282715,
0.041839443147182465,
-0.011994633823633194,
-0.002554632956162095,
-0.23035380244255066,
-0.08692970126867294,
-0.1043047159910202,
0.06293808668851852,
0.1495053917169571,
0.14896339178085327,
0.12328223139047623,
0.10730747878551483,
0.024612823501229286,
-0.26230356097221375,
-0.0393705889582634,
0.01235000416636467,
-0.32854604721069336,
-0.13844531774520874,
0.13970713317394257,
0.24745799601078033,
-0.12764616310596466,
0.5036818981170654,
-0.12741424143314362,
0.30862611532211304,
-0.009251223877072334,
-0.09967109560966492,
0.09143628925085068,
-0.1582871377468109,
-0.4034571647644043,
-0.10639693588018417,
0.21177957952022552,
0.330198734998703,
0.09043706953525543,
0.4027232527732849,
0.5290737748146057,
-0.26109346747398376,
0.021613966673612595,
0.014538898132741451,
0.4841372072696686,
0.022282354533672333,
-0.33286720514297485,
0.4092327058315277,
0.3574821650981903,
0.2704082429409027,
-0.1167818233370781,
0.371844083070755,
-0.17706017196178436,
-0.03748033568263054,
-0.016465844586491585,
-0.059155866503715515,
0.12640254199504852,
-0.16889476776123047,
-0.1565994769334793,
0.3634796738624573,
0.12413904070854187,
-0.1976224035024643,
0.08903394639492035,
-0.505884051322937,
-0.012677952647209167,
-0.18312644958496094,
0.1596045196056366,
0.532459020614624,
-0.2871997654438019,
-0.14317400753498077,
-0.023124273866415024,
0.14544884860515594,
0.07705996185541153,
0.3667641580104828,
-0.0832999125123024,
-0.0956675261259079,
-0.028542257845401764,
0.40206581354141235,
0.201906219124794,
-0.2790745496749878,
-0.28862300515174866,
0.18329250812530518,
0.3203340172767639,
0.3041921555995941,
-0.12321694940328598,
0.13023123145103455,
0.020968083292245865,
0.22887691855430603,
0.10841477662324905,
-0.16214565932750702,
-0.17627978324890137,
0.42187467217445374,
-0.059204909950494766,
-0.13189473748207092,
0.07925207912921906,
-0.03650522604584694,
-0.10871604830026627,
-0.2211264967918396,
-0.2119847685098648,
0.15718524158000946,
0.3730956017971039,
-0.1357681006193161,
-0.15732967853546143,
-0.19157466292381287,
0.14541801810264587,
-0.08411446958780289,
-0.0321691632270813,
-0.18415378034114838,
-0.6730770468711853,
0.03187301382422447,
-0.05881858617067337,
-0.013976769521832466,
-0.0235596876591444,
-0.2371213585138321,
-0.33111828565597534,
0.15139466524124146,
-0.35942012071609497,
-0.06123209372162819,
-0.06678393483161926,
-0.011039543896913528,
-0.09729611873626709,
-0.2155429720878601,
-0.2320961207151413,
0.05262337252497673,
0.48802927136421204,
0.11189039796590805,
-0.011932128109037876,
0.1936451941728592,
0.1937323361635208,
-0.12392794340848923,
0.06306754052639008,
0.3638550043106079,
0.23855482041835785,
0.18986521661281586,
0.015624863095581532,
0.21068798005580902,
0.533371090888977,
-0.07160791754722595,
-0.12715260684490204,
0.23659737408161163,
0.45395633578300476,
-0.1962519735097885,
0.15113325417041779,
0.20681196451187134,
0.19265982508659363,
-0.047839634120464325,
-0.7790425419807434,
0.25326138734817505,
0.013714666478335857,
0.2599428594112396,
-0.0932527557015419,
0.192877858877182,
-0.07523883134126663,
0.3315354883670807,
-0.05952507257461548,
-0.3936673104763031,
-0.2014770209789276,
0.12461196631193161,
0.1480497419834137,
-0.029560692608356476,
-0.4988957345485687,
0.32104891538619995,
0.37384921312332153,
-0.052154842764139175,
0.2573852837085724,
-0.057632993906736374,
-0.10829749703407288,
-0.15855813026428223,
0.37332460284233093,
-0.3535538911819458,
0.2837998569011688,
0.06916766613721848,
-0.08367971330881119,
-0.12158432602882385,
-0.042423348873853683,
-0.03475892171263695,
0.027157699689269066,
0.06743305921554565,
-0.07191852480173111,
0.13305765390396118,
0.1848292350769043,
-0.22043867409229279,
-0.08031614869832993,
-0.005193554330617189,
-0.08777395635843277,
-0.08954968303442001,
-0.20640714466571808,
0.09672369807958603,
-0.5124542117118835,
0.10381167382001877,
-0.28017592430114746,
-0.5547009706497192,
-0.3657357096672058,
-0.2290549874305725,
0.2649710774421692,
-0.0899188369512558,
-0.1655491292476654,
0.05860481411218643,
0.11672332882881165,
0.09931167215108871,
0.19559474289417267,
-0.006007936783134937,
-0.08945012092590332,
0.04601364582777023,
0.101840540766716,
-0.051306743174791336,
-0.047684043645858765,
-0.04785295948386192,
0.0376473031938076,
0.12882840633392334,
-0.11319982260465622,
-0.45335331559181213,
-0.008423865772783756,
0.3111930191516876,
-0.11082735657691956,
0.1549980789422989,
0.37735605239868164,
0.10291551053524017,
-0.4873548150062561,
0.04879304766654968,
0.212269589304924,
0.2985992729663849,
-0.003608193015679717,
0.11281466484069824,
0.30032771825790405,
-0.02294725365936756,
-0.012344110757112503,
-0.19157715141773224,
-0.13206127285957336,
-0.0038980254903435707,
0.10018575936555862,
0.02695542760193348,
0.15248613059520721,
-0.16705460846424103,
0.2679470181465149,
-0.035998404026031494,
-0.3355773389339447,
-0.24153491854667664,
-0.14004886150360107,
0.08696035295724869,
0.14672940969467163,
-0.08437187224626541,
-0.05225026607513428,
-0.2838633358478546,
0.048275336623191833,
-0.01886799745261669,
0.1145024374127388,
0.1831580102443695,
-0.3538355529308319,
-0.08702810108661652,
-0.06288919597864151,
0.17463314533233643,
0.4848901629447937,
0.28579121828079224,
0.26472368836402893,
0.11941147595643997,
-0.056173454970121384,
-0.006128234323114157,
0.16391129791736603,
0.348511666059494,
0.04665423557162285,
0.0049122110940515995,
-0.09494286775588989,
0.001006687874905765,
1.0838123559951782,
0.4843832552433014,
0.2481924444437027,
-0.003679476911202073,
-0.11817070096731186,
-0.12630312144756317,
-0.15671615302562714,
-0.09003333747386932,
0.11810865998268127,
-0.07367558032274246,
0.302700400352478,
0.46514374017715454,
0.2442464828491211,
0.012060086242854595,
0.05346597731113434,
0.3858359158039093,
-0.16218261420726776,
-0.45231735706329346,
0.39658859372138977,
-0.07453886419534683,
0.14584742486476898,
0.018084555864334106,
0.06413067877292633,
-0.1832006871700287,
-0.12235745787620544,
-0.07621177285909653,
0.04760630428791046,
0.3101426064968109,
-0.19234801828861237,
-0.04028236120939255,
-0.2107444554567337,
-0.25974375009536743,
0.2814568877220154,
0.5223882794380188,
0.12692907452583313,
-0.0026260772719979286,
-0.14970150589942932,
0.20839805901050568,
0.23716409504413605,
0.6356257796287537,
0.17852969467639923,
-0.2098158299922943,
-0.009058625437319279,
-0.1218133419752121,
-0.010507178492844105,
-0.12758614122867584,
-0.6342934370040894,
0.1838952898979187,
-0.27258023619651794,
0.22634340822696686,
-0.3975050449371338,
-0.4662688970565796,
-0.07813085615634918,
0.117588110268116,
-0.1353406012058258,
-0.10769933462142944,
-0.05650561302900314,
0.4158494174480438,
-0.1580483317375183,
0.32520991563796997,
0.3609260022640228,
-0.14264905452728271,
0.17127570509910583,
-0.06450602412223816,
0.2282080203294754,
-0.05428919568657875,
0.3435719609260559,
0.33272475004196167,
0.13303744792938232,
0.09885817021131516,
-0.36606478691101074,
0.22141118347644806,
0.0841439738869667,
-0.009226199239492416,
0.32175832986831665,
-0.5721675157546997,
-0.2904271185398102,
0.149000346660614,
-0.04958123713731766,
0.4967503845691681,
0.4423184096813202,
0.2168344408273697,
-0.050980113446712494,
0.2642027735710144,
0.07970554381608963,
-0.13998617231845856,
0.11154863238334656,
0.2770269811153412,
0.08728725463151932,
-0.17061857879161835,
-0.39830249547958374,
0.4744042158126831,
-0.06491956859827042,
-0.28020209074020386,
0.013690364547073841,
0.5781548619270325,
-0.0878419354557991,
-0.07902681082487106,
0.29351478815078735,
0.9808765053749084,
-0.2313358187675476,
0.39982378482818604,
0.40193766355514526,
0.02625681459903717,
0.31943854689598083,
-0.28214573860168457,
0.26689982414245605,
-0.22960367798805237,
0.11477584391832352,
-0.12683069705963135,
-0.18965299427509308,
0.09106993675231934,
0.4854971468448639,
-0.6954207420349121,
0.4039885103702545,
-0.06320980191230774,
0.0795762911438942,
0.06719359010457993,
-0.020808108150959015,
0.1637314260005951,
-0.25643831491470337,
-0.26492926478385925,
-0.06672491878271103,
-0.25867417454719543,
0.0004014130390714854,
-0.1023564338684082,
-0.06116136908531189,
-0.00667207408696413,
-0.1209411770105362,
-0.39329269528388977,
-0.014796514064073563,
-0.45530569553375244,
-0.17547588050365448,
0.2911156415939331,
-0.15258751809597015,
0.3953569829463959,
0.43452155590057373,
0.0012726468266919255,
0.14556823670864105,
-0.1255720555782318,
-0.02871054783463478,
-0.08400893956422806,
0.4058331549167633,
-0.26161566376686096,
0.09170577675104141,
0.5665057301521301,
-0.0066858017817139626,
-0.34218037128448486,
0.15743745863437653,
-0.08092464506626129,
-0.10101349651813507,
-0.43462684750556946,
0.18062691390514374,
0.6312643885612488,
-0.5566824078559875,
-0.2709469497203827,
0.10570517927408218,
0.11234124004840851,
-0.041594114154577255,
-0.14434149861335754,
0.39041265845298767,
-0.03776337206363678,
0.5050050616264343,
0.15269359946250916,
0.07537253946065903,
0.15192094445228577,
-0.024606989696621895,
0.044685233384370804,
-0.22016745805740356,
0.35747721791267395,
0.29706278443336487,
-0.11576630920171738,
-0.10506857931613922,
-0.057065267115831375,
0.2073894441127777,
-0.19489657878875732,
0.3421354293823242,
-0.21411198377609253,
-0.22223205864429474,
-0.09522449225187302,
0.30014458298683167,
0.18653275072574615,
0.1520577371120453,
0.04173377528786659,
-0.03233853727579117,
-0.1166558712720871,
0.3286188542842865,
-0.14338837563991547,
0.25442105531692505,
0.19086456298828125,
-0.03195086494088173,
0.02839503064751625,
0.19577835500240326,
-0.12895800173282623,
-0.08749938756227493,
0.008276225067675114,
0.3492433726787567,
-0.11323009431362152,
-0.2655158042907715,
-0.029820697382092476,
0.00357306026853621,
-0.03897557780146599,
-0.09551640599966049,
-0.2530178427696228,
-0.068989597260952,
-0.2502743899822235,
0.1610957831144333,
0.047943390905857086,
-0.12595920264720917,
-0.026538213714957237,
0.031260862946510315,
-0.023183219134807587,
-0.23883187770843506,
0.1918046772480011,
-0.08689844608306885,
-0.14084844291210175,
0.3501245975494385,
0.007579805329442024,
-0.21584546566009521,
-0.13043969869613647,
0.027108220383524895,
0.18230821192264557,
-0.03597751632332802,
0.33490604162216187,
0.15295879542827606,
-0.035476185381412506,
-0.23685018718242645,
0.03910716250538826,
0.4817050099372864,
0.15812689065933228,
-0.013920990750193596,
0.07354775071144104,
0.08150321245193481,
0.07890559732913971,
0.017839733511209488,
0.28600430488586426,
0.00811080727726221,
0.07826036214828491,
0.04665002226829529,
0.1451670378446579,
-0.006222646217793226,
-0.10724986344575882,
-0.29134538769721985,
0.45848003029823303,
0.10486231744289398,
0.20024646818637848,
0.40678226947784424,
0.01729259453713894,
-0.003219203557819128,
0.3959062099456787,
-0.053129296749830246,
-0.27697813510894775,
0.06952805817127228,
0.011238755658268929,
0.6116737127304077,
-0.16785180568695068,
0.12471392750740051,
0.07526886463165283,
0.21174606680870056,
0.17982585728168488,
0.03575972840189934,
-0.18006381392478943,
0.2081255465745926,
-0.13592562079429626,
-0.15321308374404907,
0.5411537289619446,
-0.13623937964439392,
0.01491106953471899,
-0.006787335034459829,
0.021940764039754868,
0.45900511741638184,
0.23120072484016418,
0.2578004002571106,
-0.3163489103317261,
-0.35048866271972656,
0.0007420003530569375,
0.1056131049990654,
-0.11325490474700928,
-0.19692203402519226,
0.2010507583618164,
-0.11095364391803741,
-0.30959588289260864,
-0.06364286690950394,
-0.5783088207244873,
-0.32991817593574524,
0.48669734597206116,
0.22484973073005676,
0.5121279358863831,
-0.16760624945163727,
-0.11800158768892288,
0.14495760202407837,
0.3679756820201874,
-0.1525886058807373,
0.15408657491207123,
0.30220603942871094,
-0.039084095507860184,
0.01862221769988537,
0.2026042640209198,
0.08953460305929184,
0.13583548367023468,
-0.20486107468605042,
-0.014349549077451229,
-0.30121245980262756,
-0.02742975763976574,
0.18805700540542603,
-0.15484294295310974,
0.18413937091827393,
0.026714030653238297,
0.22319282591342926,
-0.060947488993406296,
0.06802745908498764,
-0.11772597581148148,
0.031708210706710815,
0.1584732085466385,
-0.18284806609153748,
-0.3853939175605774,
-0.013145849108695984,
-0.1711117923259735,
0.04769676923751831,
-0.0006280641537159681,
-0.7032930850982666,
-0.06327446550130844,
0.07265041023492813,
-0.06937984377145767,
-0.0340653657913208,
0.0992378443479538,
-0.04312045872211456,
0.20425190031528473,
0.1544470638036728,
0.24497507512569427,
0.14178621768951416,
-0.27186909317970276,
0.12096352875232697,
-0.27578336000442505,
-0.1867605447769165,
0.2845391035079956,
-0.2318635731935501,
0.03978758305311203,
0.02078201062977314,
0.10187926888465881,
0.341089129447937,
0.06822308152914047,
-0.5816969871520996,
-0.11385758966207504,
0.46572351455688477,
-0.20126909017562866,
0.13621586561203003,
0.1844775676727295,
0.2668825387954712,
0.10629098117351532,
-0.12843134999275208,
0.21247491240501404,
0.35382941365242004,
-0.21196241676807404,
-0.17079578340053558,
-0.07130260765552521,
-0.3326975703239441,
-0.05884705111384392,
-0.24034403264522552,
0.529384195804596,
0.2018613964319229,
0.12241364270448685,
-0.268033891916275,
0.14065052568912506,
0.28605446219444275,
0.0567031092941761,
-0.028977951034903526,
0.027318008244037628,
0.7622186541557312,
-0.09328239411115646,
0.10506969690322876,
-0.11119573563337326,
0.21598055958747864,
0.12799881398677826,
-0.32997480034828186,
-0.49485668540000916,
0.0894031822681427,
-0.025288499891757965,
-0.23564669489860535,
0.1079355850815773,
0.4834580719470978,
-0.1225612610578537,
0.1367385983467102,
-0.26708266139030457,
0.12856663763523102,
0.3199918270111084,
-0.2631487250328064,
-0.3871840238571167,
-0.3999743163585663,
-0.07116056233644485,
-0.035582587122917175,
-0.03292044624686241,
-0.8910267949104309,
-0.17213274538516998,
0.11249134689569473,
-0.03815877065062523,
-0.253605455160141,
0.08522715419530869,
-0.022356748580932617,
-0.27161073684692383,
-0.37771672010421753,
0.6619979739189148,
0.056897856295108795,
0.03396184742450714,
-0.22671622037887573,
-0.5398954153060913
] |
https://github.com/huggingface/datasets/issues/188 | When will the remaining math_dataset modules be added as dataset objects | Hi @tylerroost, we don't have a timeline for this at the moment.
If you want to give it a look we would be happy to review a PR on it.
Also, the library is one week old so everything is quite barebones, in particular the doc.
You should expect some bumps on the road.
To get you started, you can check the datasets scripts in the `./datasets` folder on the repo and find the one on math_datasets that will need to be modified. Then you should check the original repository on the math_dataset to see where the other files to download are located and what is the expected format for the various parts of the dataset.
To get a general overview on how datasets scripts are written and used, you can read the nice tutorial on how to add a new dataset for TensorFlow Dataset [here](https://www.tensorflow.org/datasets/add_dataset), our API is not exactly identical but it can give you a high-level overview. | Currently only the algebra_linear_1d is supported. Is there a timeline for making the other modules supported. If no timeline is established, how can I help? | 160 | When will the remaining math_dataset modules be added as dataset objects
Currently only the algebra_linear_1d is supported. Is there a timeline for making the other modules supported. If no timeline is established, how can I help?
Hi @tylerroost, we don't have a timeline for this at the moment.
If you want to give it a look we would be happy to review a PR on it.
Also, the library is one week old so everything is quite barebones, in particular the doc.
You should expect some bumps on the road.
To get you started, you can check the datasets scripts in the `./datasets` folder on the repo and find the one on math_datasets that will need to be modified. Then you should check the original repository on the math_dataset to see where the other files to download are located and what is the expected format for the various parts of the dataset.
To get a general overview on how datasets scripts are written and used, you can read the nice tutorial on how to add a new dataset for TensorFlow Dataset [here](https://www.tensorflow.org/datasets/add_dataset), our API is not exactly identical but it can give you a high-level overview. | [
-0.2745405435562134,
-0.07471401244401932,
-0.2828439772129059,
0.08163303881883621,
0.10131561011075974,
0.08511606603860855,
0.16227023303508759,
0.1815713793039322,
0.15496547520160675,
0.02899930812418461,
0.09069553017616272,
0.25426122546195984,
-0.24301400780677795,
0.09133534878492355,
0.2556447982788086,
-0.34201574325561523,
0.20134373009204865,
-0.0719502717256546,
-0.2481055110692978,
-0.35922670364379883,
-0.10869918763637543,
0.09392420202493668,
-0.2666562795639038,
-0.21100160479545593,
-0.13362126052379608,
-0.060057032853364944,
-0.24860870838165283,
-0.04428121820092201,
-0.4253517687320709,
-0.23080044984817505,
0.06616618484258652,
0.29805609583854675,
0.231758251786232,
0.35712137818336487,
-0.00010253640357404947,
-0.17914707958698273,
0.19525396823883057,
0.06595984846353531,
-0.09675760567188263,
-0.35875776410102844,
-0.3629665970802307,
-0.2668958604335785,
0.178465336561203,
0.1084667518734932,
0.0992727056145668,
0.09038355946540833,
-0.039133451879024506,
-0.40964093804359436,
0.02792554721236229,
0.35471293330192566,
0.23869970440864563,
0.35676470398902893,
0.41479402780532837,
-0.1960519254207611,
0.23967798054218292,
0.06696385890245438,
-0.18212394416332245,
0.08796816319227219,
0.4211680293083191,
0.11522797495126724,
0.3046659827232361,
0.14688746631145477,
0.1961059272289276,
0.10997598618268967,
0.3800205588340759,
0.018322696909308434,
0.013787508010864258,
-0.5149787664413452,
-0.3262500762939453,
0.2852602005004883,
0.7866033315658569,
-0.2344970554113388,
-0.23747482895851135,
-0.1045815721154213,
-0.03371284529566765,
-0.2809472382068634,
0.036547791212797165,
0.03145712614059448,
0.21467287838459015,
-0.16369548439979553,
0.06738559901714325,
-0.403988778591156,
-0.3353688716888428,
0.40255048871040344,
0.13977473974227905,
0.48645955324172974,
0.12364166975021362,
0.12610092759132385,
0.09881304949522018,
-0.14917470514774323,
0.39519426226615906,
-0.003663887968286872,
0.2163075953722,
0.2663557231426239,
-0.2195390909910202,
-0.2165071815252304,
-0.09907487034797668,
-0.0851171612739563,
0.018533574417233467,
-0.18484316766262054,
-0.14839690923690796,
0.3597193658351898,
-0.3094291388988495,
0.25821036100387573,
0.2134397327899933,
-0.15015865862369537,
-0.1043488085269928,
-0.004754893947392702,
0.42633056640625,
-0.033695537596940994,
0.07132341712713242,
0.19717846810817719,
-0.1961677223443985,
0.00761146005243063,
-0.2757907509803772,
0.027275199070572853,
0.029524553567171097,
-0.012821726500988007,
0.1225251704454422,
-0.383207231760025,
0.09562388807535172,
-0.3619908094406128,
-0.04778074100613594,
-0.08453338593244553,
-0.3333868086338043,
0.17141391336917877,
-0.009539090096950531,
0.027227310463786125,
-0.1498737633228302,
-0.02315676398575306,
-0.07249989360570908,
0.15157656371593475,
-0.2152208685874939,
0.01989307813346386,
0.2334243506193161,
-0.10189913958311081,
0.08815018087625504,
0.012576744891703129,
0.20164798200130463,
0.15531906485557556,
0.18760822713375092,
0.10861674696207047,
-0.13326986134052277,
0.2291128933429718,
-0.169180229306221,
0.038062408566474915,
-0.2693697214126587,
0.18624190986156464,
-0.09615359455347061,
-0.05022178962826729,
-0.14967146515846252,
-0.21687643229961395,
-0.16860410571098328,
0.26260432600975037,
-0.14511269330978394,
-0.35408103466033936,
-0.2239726334810257,
0.3776286840438843,
-0.28075411915779114,
0.20390303432941437,
-0.17724832892417908,
-0.1275354027748108,
-0.09541007876396179,
-0.33919617533683777,
0.005437128711491823,
0.0747961550951004,
-0.4191736578941345,
0.1555749475955963,
-0.132332906126976,
-0.05833638459444046,
-0.23669791221618652,
-0.054188910871744156,
-0.1949496567249298,
0.01520797424018383,
-0.09529175609350204,
-0.12077126652002335,
0.4563644528388977,
-0.5523672699928284,
-0.06465864926576614,
-0.16999676823616028,
0.22772066295146942,
-0.22985900938510895,
-0.1641165316104889,
0.1930217295885086,
0.039701007306575775,
-0.14828282594680786,
-0.20391355454921722,
0.3211022913455963,
-0.1425628811120987,
-0.2917490303516388,
-0.2070937603712082,
-0.11056303232908249,
0.05193554237484932,
0.11169528216123581,
0.36458057165145874,
0.017507178708910942,
0.16154691576957703,
0.21329595148563385,
0.014443299733102322,
0.10343026369810104,
0.03156650811433792,
0.2074110060930252,
0.41448670625686646,
0.21465077996253967,
0.4653908908367157,
-0.42616915702819824,
-0.4392792880535126,
0.13807770609855652,
0.1953706592321396,
0.18815839290618896,
0.10498832166194916,
0.08624697476625443,
-0.004375908058136702,
0.10294652730226517,
-0.12055452167987823,
0.31788066029548645,
0.1447257548570633,
-0.0405566580593586,
0.21057097613811493,
-0.14622442424297333,
-0.5968188047409058,
0.09261253476142883,
-0.1041228398680687,
0.4140123128890991,
-0.4701017141342163,
0.30474191904067993,
0.015342125669121742,
-0.1535005271434784,
0.16933943331241608,
0.2441733330488205,
0.0057321577332913876,
-0.4595026969909668,
0.08033004403114319,
0.29646867513656616,
0.16137093305587769,
0.2357257753610611,
-0.033806558698415756,
0.4449405372142792,
0.42598724365234375,
-0.06091896444559097,
0.31197893619537354,
-0.31688207387924194,
-0.02650781348347664,
-0.05693719536066055,
0.010205555707216263,
0.21473072469234467,
-0.03721524402499199,
-0.09473754465579987,
0.2684358060359955,
0.016563696786761284,
0.16712172329425812,
0.26641368865966797,
-0.042163532227277756,
-0.21579477190971375,
0.030043987557291985,
-0.008428025059401989,
-0.021350113674998283,
-0.13367794454097748,
-0.29696124792099,
0.22897666692733765,
0.6034263372421265,
-0.12870298326015472,
0.035603880882263184,
0.061941564083099365,
-0.2499329000711441,
-0.008935240097343922,
0.0916372686624527,
0.27020013332366943,
0.1916397511959076,
0.1497255563735962,
0.21871399879455566,
-0.01896939054131508,
-0.29128867387771606,
-0.12581434845924377,
0.03649391606450081,
0.19965335726737976,
0.14305661618709564,
-0.060219671577215195,
-0.013700210489332676,
0.005899767857044935,
-0.09947994351387024,
-0.019223885610699654,
-0.045814093202352524,
0.47150611877441406,
0.07942918688058853,
-0.18269282579421997,
-0.4099804759025574,
-0.18739186227321625,
-0.07155577093362808,
-0.1772991418838501,
-0.1551743745803833,
-0.306515634059906,
0.032820556312799454,
-0.01460027601569891,
0.19896581768989563,
0.01642337068915367,
0.19826900959014893,
0.0992315486073494,
-0.26712265610694885,
0.3675658106803894,
-0.27087822556495667,
0.002239764202386141,
-0.2175016850233078,
0.190299391746521,
0.2565094232559204,
-0.08611202985048294,
0.4182341992855072,
-0.034009017050266266,
0.23329444229602814,
-0.13853515684604645,
-0.6403660178184509,
0.1763879358768463,
-0.1495903581380844,
-0.02689199522137642,
-0.02025003917515278,
-0.0834309533238411,
0.1799280196428299,
0.11929915845394135,
0.07279103994369507,
-0.29184484481811523,
-0.05149528756737709,
-0.044087156653404236,
-0.19708730280399323,
-0.1112024337053299,
-0.13188116252422333,
-0.5581411123275757,
-0.4593663215637207,
-0.2616685926914215,
0.17642129957675934,
0.3262958228588104,
0.0808149054646492,
0.16245858371257782,
0.08413638919591904,
0.1643994152545929,
-0.06314384937286377,
0.03947453945875168,
0.1127869188785553,
-0.25843721628189087,
0.4067577123641968,
-0.3071102797985077,
-0.3843965530395508,
0.4961082339286804,
-0.10421451926231384,
0.3492160141468048,
0.21272261440753937,
-0.3054114878177643,
-0.1986849308013916,
-0.025309422984719276,
-0.01599125750362873,
0.16639313101768494,
-0.01960626244544983,
0.23422183096408844,
-0.009280478581786156,
0.052656129002571106,
-0.2524115741252899,
-0.14401841163635254,
-0.08615756779909134,
0.37696877121925354,
0.029445532709360123,
0.1434265673160553,
0.3347582519054413,
-0.03322376310825348,
0.430533230304718,
0.036448683589696884,
-0.24522405862808228,
0.05040501803159714,
0.16883574426174164,
0.10867717117071152,
0.011382132768630981,
-0.050217874348163605,
0.07712594419717789,
0.03132681921124458,
0.2990891933441162,
0.04891548678278923,
0.12088093906641006,
-0.10746316611766815,
-0.3140336871147156,
0.3371356427669525,
-0.17844299972057343,
-0.0018074819818139076,
-0.0018802665872499347,
-0.25169384479522705,
0.32957369089126587,
0.08878378570079803,
-0.1960984766483307,
-0.2880052626132965,
-0.14876827597618103,
0.15746653079986572,
0.3545743525028229,
0.24198244512081146,
-0.12902607023715973,
-0.5378569960594177,
-0.18528170883655548,
-0.17318914830684662,
0.41747575998306274,
-0.10197805613279343,
0.1792781502008438,
-0.19229303300380707,
0.1106681376695633,
0.11774308234453201,
0.0859810933470726,
0.18783043324947357,
-0.47661423683166504,
-0.5271236896514893,
0.27916473150253296,
-0.13627296686172485,
-0.23418816924095154,
-0.024256816133856773,
-0.31063762307167053,
0.1136726438999176,
-0.029084060341119766,
0.448890745639801,
0.015480444766581059,
-0.3676786422729492,
0.24308720231056213,
0.13085727393627167,
0.085910364985466,
-0.14056412875652313,
0.26299428939819336,
-0.010136082768440247,
-0.11732517927885056,
-0.26204484701156616,
-0.105214424431324,
-0.11233877390623093,
-0.11672724783420563,
-0.5168625712394714,
0.07123570889234543,
-0.33272668719291687,
0.18476171791553497,
-0.047048419713974,
-0.056590307503938675,
0.27492955327033997,
0.03683128580451012,
0.3168193995952606,
-0.14537112414836884,
0.4666672348976135,
-0.011513283476233482,
-0.38040393590927124,
-0.1696537286043167,
0.1740654557943344,
-0.091621994972229,
0.1956474334001541,
0.1504792720079422,
-0.052981939166784286,
0.18283647298812866,
-0.06081851199269295,
-0.031034929677844048,
-0.1255170702934265,
0.16413484513759613,
0.4193398952484131,
0.22790870070457458,
-0.2852485775947571,
-0.6071878671646118,
0.11472297459840775,
0.016152100637555122,
-0.04859548062086105,
0.4207157492637634,
-0.13392069935798645,
-0.17450836300849915,
0.11098339408636093,
0.041056402027606964,
0.5863260626792908,
-0.2631886899471283,
-0.2927810549736023,
0.03474948927760124,
-0.0862998366355896,
0.4732598066329956,
-0.6111394762992859,
0.17423975467681885,
-0.0342671237885952,
0.10870564728975296,
-0.08511234074831009,
-0.2548709511756897,
0.21094462275505066,
0.07227673381567001,
-0.20136019587516785,
0.09954261034727097,
0.17709042131900787,
0.13808012008666992,
-0.1942106932401657,
0.6597743630409241,
-0.06312791258096695,
-0.14037339389324188,
-0.09899760782718658,
0.2516934275627136,
-0.028307924047112465,
0.052181556820869446,
-0.06026068702340126,
-0.19137834012508392,
-0.031877510249614716,
0.181133434176445,
-0.2849520444869995,
-0.1687602698802948,
-0.22131694853305817,
0.008319268934428692,
0.09131795167922974,
-0.04329517483711243,
0.3468939960002899,
0.09623108059167862,
0.5915399193763733,
-0.03202419355511665,
-0.2376021146774292,
0.27973881363868713,
-0.26822778582572937,
-0.11788764595985413,
-0.12288801372051239,
0.017207173630595207,
0.37216323614120483,
-0.296741783618927,
-0.012082227505743504,
-0.07735522091388702,
-0.0002787299163173884,
-0.24259790778160095,
-0.36513471603393555,
-0.0714225247502327,
0.329862117767334,
0.09708566963672638,
0.1923026293516159,
0.303346186876297,
-0.09278234094381332,
0.007560431491583586,
0.24786615371704102,
0.4511789083480835,
0.014724775217473507,
0.40766412019729614,
0.04798441007733345,
0.0005298939649946988,
-0.15134301781654358,
-0.15054936707019806,
0.2708602249622345,
-0.2877453863620758,
0.07257480919361115,
0.43702995777130127,
-0.19491249322891235,
-0.20974552631378174,
-0.19884450733661652,
0.18380053341388702,
0.05712946876883507,
0.0781836062669754,
0.15595877170562744,
0.09627263247966766,
0.19285620748996735,
0.0999172031879425,
-0.023509008809924126,
-0.41114315390586853,
-0.4108961522579193,
-0.293220192193985,
-0.22436898946762085,
0.2566511631011963,
0.049461688846349716,
0.2794497609138489,
-0.19637519121170044,
-0.07223746180534363,
0.17411211133003235,
0.14937108755111694,
-0.3791826367378235,
0.05701463297009468,
0.1513359248638153,
0.03618870675563812,
0.22612474858760834,
-0.07250051200389862,
-0.036121685057878494,
-0.07174035161733627,
0.09386365860700607,
-0.02794797345995903,
-0.4679449796676636,
-0.18472188711166382,
0.042026497423648834,
0.10021454840898514,
-0.04263713210821152,
-0.22871805727481842,
0.1266714483499527,
-0.31415069103240967,
-0.282792866230011,
-0.024909403175115585,
-0.03976761922240257,
-0.3050768971443176,
-0.14212068915367126,
0.33117467164993286,
0.18199747800827026,
0.1702483594417572,
0.5582084059715271,
0.09514033794403076,
0.21245074272155762,
0.20485855638980865,
0.40218791365623474,
0.18952016532421112,
0.2601065933704376,
-0.08211435377597809,
-0.1481981873512268,
0.07816378772258759,
-0.1382056474685669,
-0.17945781350135803,
0.39828890562057495,
-0.16925737261772156,
0.15359129011631012,
0.03235561028122902,
0.10144001245498657,
0.2642422020435333,
0.021073395386338234,
0.036964595317840576,
0.14142902195453644,
0.21310999989509583,
-0.1344299018383026,
-0.05589975416660309,
0.4027065336704254,
0.4979761242866516,
0.10187961906194687,
0.07686421275138855,
0.5620501637458801,
0.1583322286605835,
0.2849802076816559,
0.17854437232017517,
0.23345720767974854,
-0.14217449724674225,
0.4086757302284241,
-0.10305356234312057,
-0.05373323708772659,
0.0734400525689125,
0.08991985023021698,
0.3814929723739624,
0.0946706086397171,
0.3289203941822052,
0.18405811488628387,
0.4397294819355011,
0.1460438370704651,
-0.08007954061031342,
0.5982283353805542,
-0.3191632628440857,
0.06604879349470139,
0.16271136701107025,
0.06078672036528587,
0.09383008629083633,
0.07741829752922058,
0.46906551718711853,
-0.00939022097736597,
-0.13898488879203796,
-0.054034870117902756,
-0.1167001947760582,
-0.10878189653158188,
-0.005930845160037279,
-0.04140695556998253,
-0.17655418813228607,
-0.2063528299331665,
-0.0955452173948288,
0.042455628514289856,
-0.24463951587677002,
0.10841132700443268,
-0.00678416108712554,
0.02507498860359192,
-0.18302905559539795,
0.34995150566101074,
-0.08808033168315887,
-0.06958433240652084,
0.20820191502571106,
0.44161081314086914,
-0.2254703938961029,
-0.20558901131153107,
-0.09230701625347137,
-0.07757951319217682,
-0.06999122351408005,
0.02039334736764431,
-0.35975363850593567,
0.30949512124061584,
0.0517013780772686,
-0.1929580420255661,
0.2077178806066513,
0.4019235372543335,
0.07114530354738235,
0.3664083778858185,
-0.11097901314496994,
0.15951333940029144,
-0.053555529564619064,
-0.02282078191637993,
-0.28334107995033264,
-0.02114742062985897,
-0.4163028299808502,
-0.08433801680803299,
0.11024491488933563,
-0.15187110006809235,
-0.04534958302974701,
-0.04589655250310898,
-0.47221624851226807,
-0.5669900178909302,
0.5651461482048035,
-0.18957000970840454,
-0.15351344645023346,
-0.25356101989746094,
0.10814565420150757,
-0.09533153474330902,
0.25117409229278564,
0.1214740052819252,
0.45501285791397095,
0.05822421610355377,
-0.3774457275867462,
-0.2873682379722595,
0.00567632494494319,
0.149158775806427,
0.2815350592136383,
-0.11302047222852707,
0.19985315203666687,
0.24011628329753876,
-0.03342727571725845,
0.43038779497146606,
-0.2973402440547943,
0.09230455011129379,
-0.004098258446902037,
-0.327586829662323,
0.009855114854872227,
-0.20289508998394012,
0.041549645364284515,
0.1104595884680748,
0.25907883048057556,
0.07082254439592361,
-0.26882967352867126,
-0.02574295736849308,
-0.41214823722839355,
-0.02335910126566887,
0.33951467275619507,
0.08142495155334473,
0.4212687313556671,
0.1432819664478302,
0.29541251063346863,
0.18000566959381104,
-0.04555322974920273,
-0.41668370366096497,
-0.16399523615837097,
-0.01975839212536812,
0.23975980281829834,
-0.12995566427707672,
0.08060023933649063,
-0.19504323601722717,
0.01444647554308176,
-0.16572168469429016,
0.14214079082012177,
-0.16518983244895935,
-0.3549889326095581,
0.03663397580385208,
0.06656534224748611,
-0.08965376764535904,
0.032776348292827606,
0.40789395570755005,
0.13496799767017365,
0.23357634246349335,
-0.24015283584594727,
-0.21379755437374115,
0.1258513331413269,
0.05555209890007973,
-0.0777759775519371,
-0.24822509288787842,
-0.19380585849285126,
-0.18507109582424164,
0.26290977001190186,
0.11359754204750061,
-0.8757448196411133,
-0.21726404130458832,
0.2978820204734802,
-0.09050814807415009,
0.06773237884044647,
0.26117226481437683,
0.460812509059906,
-0.011697954498231411,
-0.19920367002487183,
0.087603859603405,
0.004510651342570782,
-0.05850180238485336,
-0.13027030229568481,
-0.15369893610477448
] |
https://github.com/huggingface/datasets/issues/187 | [Question] How to load wikipedia ? Beam runner ? | I have seen that somebody is hard working on easierly loadable wikipedia. #129
Maybe I should wait a few days for that version ? | When `nlp.load_dataset('wikipedia')`, I got
* `WARNING:nlp.builder:Trying to generate a dataset using Apache Beam, yet no Beam Runner or PipelineOptions() has been provided. Please pass a nlp.DownloadConfig(beam_runner=...) object to the builder.download_and_prepare(download_config=...) method. Default values will be used.`
* `AttributeError: 'NoneType' object has no attribute 'size'`
Could somebody tell me what should I do ?
# Env
On Colab,
```
git clone https://github.com/huggingface/nlp
cd nlp
pip install -q .
```
```
%pip install -q apache_beam mwparserfromhell
-> ERROR: pydrive 1.3.1 has requirement oauth2client>=4.0.0, but you'll have oauth2client 3.0.0 which is incompatible.
ERROR: google-api-python-client 1.7.12 has requirement httplib2<1dev,>=0.17.0, but you'll have httplib2 0.12.0 which is incompatible.
ERROR: chainer 6.5.0 has requirement typing-extensions<=3.6.6, but you'll have typing-extensions 3.7.4.2 which is incompatible.
```
```
pip install -q apache-beam[interactive]
ERROR: google-colab 1.0.0 has requirement ipython~=5.5.0, but you'll have ipython 5.10.0 which is incompatible.
```
# The whole message
```
WARNING:nlp.builder:Trying to generate a dataset using Apache Beam, yet no Beam Runner or PipelineOptions() has been provided. Please pass a nlp.DownloadConfig(beam_runner=...) object to the builder.download_and_prepare(download_config=...) method. Default values will be used.
Downloading and preparing dataset wikipedia/20200501.aa (download: Unknown size, generated: Unknown size, total: Unknown size) to /root/.cache/huggingface/datasets/wikipedia/20200501.aa/1.0.0...
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/common.cpython-36m-x86_64-linux-gnu.so in apache_beam.runners.common.DoFnRunner.process()
44 frames
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/common.cpython-36m-x86_64-linux-gnu.so in apache_beam.runners.common.PerWindowInvoker.invoke_process()
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/common.cpython-36m-x86_64-linux-gnu.so in apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window()
/usr/local/lib/python3.6/dist-packages/apache_beam/io/iobase.py in process(self, element, init_result)
1081 writer.write(e)
-> 1082 return [window.TimestampedValue(writer.close(), timestamp.MAX_TIMESTAMP)]
1083
/usr/local/lib/python3.6/dist-packages/apache_beam/io/filebasedsink.py in close(self)
422 def close(self):
--> 423 self.sink.close(self.temp_handle)
424 return self.temp_shard_path
/usr/local/lib/python3.6/dist-packages/apache_beam/io/parquetio.py in close(self, writer)
537 if len(self._buffer[0]) > 0:
--> 538 self._flush_buffer()
539 if self._record_batches_byte_size > 0:
/usr/local/lib/python3.6/dist-packages/apache_beam/io/parquetio.py in _flush_buffer(self)
569 for b in x.buffers():
--> 570 size = size + b.size
571 self._record_batches_byte_size = self._record_batches_byte_size + size
AttributeError: 'NoneType' object has no attribute 'size'
During handling of the above exception, another exception occurred:
AttributeError Traceback (most recent call last)
<ipython-input-9-340aabccefff> in <module>()
----> 1 dset = nlp.load_dataset('wikipedia')
/usr/local/lib/python3.6/dist-packages/nlp/load.py in load_dataset(path, name, version, data_dir, data_files, split, cache_dir, download_config, download_mode, ignore_verifications, save_infos, **config_kwargs)
518 download_mode=download_mode,
519 ignore_verifications=ignore_verifications,
--> 520 save_infos=save_infos,
521 )
522
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in download_and_prepare(self, download_config, download_mode, ignore_verifications, save_infos, dl_manager, **download_and_prepare_kwargs)
370 verify_infos = not save_infos and not ignore_verifications
371 self._download_and_prepare(
--> 372 dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
373 )
374 # Sync info
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in _download_and_prepare(self, dl_manager, verify_infos)
770 with beam.Pipeline(runner=beam_runner, options=beam_options,) as pipeline:
771 super(BeamBasedBuilder, self)._download_and_prepare(
--> 772 dl_manager, pipeline=pipeline, verify_infos=False
773 ) # TODO{beam} verify infos
774
/usr/local/lib/python3.6/dist-packages/apache_beam/pipeline.py in __exit__(self, exc_type, exc_val, exc_tb)
501 def __exit__(self, exc_type, exc_val, exc_tb):
502 if not exc_type:
--> 503 self.run().wait_until_finish()
504
505 def visit(self, visitor):
/usr/local/lib/python3.6/dist-packages/apache_beam/pipeline.py in run(self, test_runner_api)
481 return Pipeline.from_runner_api(
482 self.to_runner_api(use_fake_coders=True), self.runner,
--> 483 self._options).run(False)
484
485 if self._options.view_as(TypeOptions).runtime_type_check:
/usr/local/lib/python3.6/dist-packages/apache_beam/pipeline.py in run(self, test_runner_api)
494 finally:
495 shutil.rmtree(tmpdir)
--> 496 return self.runner.run_pipeline(self, self._options)
497
498 def __enter__(self):
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/direct/direct_runner.py in run_pipeline(self, pipeline, options)
128 runner = BundleBasedDirectRunner()
129
--> 130 return runner.run_pipeline(pipeline, options)
131
132
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/portability/fn_api_runner.py in run_pipeline(self, pipeline, options)
553
554 self._latest_run_result = self.run_via_runner_api(
--> 555 pipeline.to_runner_api(default_environment=self._default_environment))
556 return self._latest_run_result
557
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/portability/fn_api_runner.py in run_via_runner_api(self, pipeline_proto)
563 # TODO(pabloem, BEAM-7514): Create a watermark manager (that has access to
564 # the teststream (if any), and all the stages).
--> 565 return self.run_stages(stage_context, stages)
566
567 @contextlib.contextmanager
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/portability/fn_api_runner.py in run_stages(self, stage_context, stages)
704 stage,
705 pcoll_buffers,
--> 706 stage_context.safe_coders)
707 metrics_by_stage[stage.name] = stage_results.process_bundle.metrics
708 monitoring_infos_by_stage[stage.name] = (
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/portability/fn_api_runner.py in _run_stage(self, worker_handler_factory, pipeline_components, stage, pcoll_buffers, safe_coders)
1071 cache_token_generator=cache_token_generator)
1072
-> 1073 result, splits = bundle_manager.process_bundle(data_input, data_output)
1074
1075 def input_for(transform_id, input_id):
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/portability/fn_api_runner.py in process_bundle(self, inputs, expected_outputs)
2332
2333 with UnboundedThreadPoolExecutor() as executor:
-> 2334 for result, split_result in executor.map(execute, part_inputs):
2335
2336 split_result_list += split_result
/usr/lib/python3.6/concurrent/futures/_base.py in result_iterator()
584 # Careful not to keep a reference to the popped future
585 if timeout is None:
--> 586 yield fs.pop().result()
587 else:
588 yield fs.pop().result(end_time - time.monotonic())
/usr/lib/python3.6/concurrent/futures/_base.py in result(self, timeout)
430 raise CancelledError()
431 elif self._state == FINISHED:
--> 432 return self.__get_result()
433 else:
434 raise TimeoutError()
/usr/lib/python3.6/concurrent/futures/_base.py in __get_result(self)
382 def __get_result(self):
383 if self._exception:
--> 384 raise self._exception
385 else:
386 return self._result
/usr/local/lib/python3.6/dist-packages/apache_beam/utils/thread_pool_executor.py in run(self)
42 # If the future wasn't cancelled, then attempt to execute it.
43 try:
---> 44 self._future.set_result(self._fn(*self._fn_args, **self._fn_kwargs))
45 except BaseException as exc:
46 # Even though Python 2 futures library has #set_exection(),
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/portability/fn_api_runner.py in execute(part_map)
2329 self._registered,
2330 cache_token_generator=self._cache_token_generator)
-> 2331 return bundle_manager.process_bundle(part_map, expected_outputs)
2332
2333 with UnboundedThreadPoolExecutor() as executor:
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/portability/fn_api_runner.py in process_bundle(self, inputs, expected_outputs)
2243 process_bundle_descriptor_id=self._bundle_descriptor.id,
2244 cache_tokens=[next(self._cache_token_generator)]))
-> 2245 result_future = self._worker_handler.control_conn.push(process_bundle_req)
2246
2247 split_results = [] # type: List[beam_fn_api_pb2.ProcessBundleSplitResponse]
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/portability/fn_api_runner.py in push(self, request)
1557 self._uid_counter += 1
1558 request.instruction_id = 'control_%s' % self._uid_counter
-> 1559 response = self.worker.do_instruction(request)
1560 return ControlFuture(request.instruction_id, response)
1561
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/worker/sdk_worker.py in do_instruction(self, request)
413 # E.g. if register is set, this will call self.register(request.register))
414 return getattr(self, request_type)(
--> 415 getattr(request, request_type), request.instruction_id)
416 else:
417 raise NotImplementedError
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/worker/sdk_worker.py in process_bundle(self, request, instruction_id)
448 with self.maybe_profile(instruction_id):
449 delayed_applications, requests_finalization = (
--> 450 bundle_processor.process_bundle(instruction_id))
451 monitoring_infos = bundle_processor.monitoring_infos()
452 monitoring_infos.extend(self.state_cache_metrics_fn())
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/worker/bundle_processor.py in process_bundle(self, instruction_id)
837 for data in data_channel.input_elements(instruction_id,
838 expected_transforms):
--> 839 input_op_by_transform_id[data.transform_id].process_encoded(data.data)
840
841 # Finish all operations.
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/worker/bundle_processor.py in process_encoded(self, encoded_windowed_values)
214 decoded_value = self.windowed_coder_impl.decode_from_stream(
215 input_stream, True)
--> 216 self.output(decoded_value)
217
218 def try_split(self, fraction_of_remainder, total_buffer_size):
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/worker/operations.cpython-36m-x86_64-linux-gnu.so in apache_beam.runners.worker.operations.Operation.output()
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/worker/operations.cpython-36m-x86_64-linux-gnu.so in apache_beam.runners.worker.operations.Operation.output()
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/worker/operations.cpython-36m-x86_64-linux-gnu.so in apache_beam.runners.worker.operations.SingletonConsumerSet.receive()
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/worker/operations.cpython-36m-x86_64-linux-gnu.so in apache_beam.runners.worker.operations.DoOperation.process()
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/worker/operations.cpython-36m-x86_64-linux-gnu.so in apache_beam.runners.worker.operations.DoOperation.process()
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/common.cpython-36m-x86_64-linux-gnu.so in apache_beam.runners.common.DoFnRunner.process()
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/common.cpython-36m-x86_64-linux-gnu.so in apache_beam.runners.common.DoFnRunner._reraise_augmented()
/usr/local/lib/python3.6/dist-packages/future/utils/__init__.py in raise_with_traceback(exc, traceback)
417 if traceback == Ellipsis:
418 _, _, traceback = sys.exc_info()
--> 419 raise exc.with_traceback(traceback)
420
421 else:
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/common.cpython-36m-x86_64-linux-gnu.so in apache_beam.runners.common.DoFnRunner.process()
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/common.cpython-36m-x86_64-linux-gnu.so in apache_beam.runners.common.PerWindowInvoker.invoke_process()
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/common.cpython-36m-x86_64-linux-gnu.so in apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window()
/usr/local/lib/python3.6/dist-packages/apache_beam/io/iobase.py in process(self, element, init_result)
1080 for e in bundle[1]: # values
1081 writer.write(e)
-> 1082 return [window.TimestampedValue(writer.close(), timestamp.MAX_TIMESTAMP)]
1083
1084
/usr/local/lib/python3.6/dist-packages/apache_beam/io/filebasedsink.py in close(self)
421
422 def close(self):
--> 423 self.sink.close(self.temp_handle)
424 return self.temp_shard_path
/usr/local/lib/python3.6/dist-packages/apache_beam/io/parquetio.py in close(self, writer)
536 def close(self, writer):
537 if len(self._buffer[0]) > 0:
--> 538 self._flush_buffer()
539 if self._record_batches_byte_size > 0:
540 self._write_batches(writer)
/usr/local/lib/python3.6/dist-packages/apache_beam/io/parquetio.py in _flush_buffer(self)
568 for x in arrays:
569 for b in x.buffers():
--> 570 size = size + b.size
571 self._record_batches_byte_size = self._record_batches_byte_size + size
AttributeError: 'NoneType' object has no attribute 'size' [while running 'train/Save to parquet/Write/WriteImpl/WriteBundles']
``` | 24 | [Question] How to load wikipedia ? Beam runner ?
When `nlp.load_dataset('wikipedia')`, I got
* `WARNING:nlp.builder:Trying to generate a dataset using Apache Beam, yet no Beam Runner or PipelineOptions() has been provided. Please pass a nlp.DownloadConfig(beam_runner=...) object to the builder.download_and_prepare(download_config=...) method. Default values will be used.`
* `AttributeError: 'NoneType' object has no attribute 'size'`
Could somebody tell me what should I do ?
# Env
On Colab,
```
git clone https://github.com/huggingface/nlp
cd nlp
pip install -q .
```
```
%pip install -q apache_beam mwparserfromhell
-> ERROR: pydrive 1.3.1 has requirement oauth2client>=4.0.0, but you'll have oauth2client 3.0.0 which is incompatible.
ERROR: google-api-python-client 1.7.12 has requirement httplib2<1dev,>=0.17.0, but you'll have httplib2 0.12.0 which is incompatible.
ERROR: chainer 6.5.0 has requirement typing-extensions<=3.6.6, but you'll have typing-extensions 3.7.4.2 which is incompatible.
```
```
pip install -q apache-beam[interactive]
ERROR: google-colab 1.0.0 has requirement ipython~=5.5.0, but you'll have ipython 5.10.0 which is incompatible.
```
# The whole message
```
WARNING:nlp.builder:Trying to generate a dataset using Apache Beam, yet no Beam Runner or PipelineOptions() has been provided. Please pass a nlp.DownloadConfig(beam_runner=...) object to the builder.download_and_prepare(download_config=...) method. Default values will be used.
Downloading and preparing dataset wikipedia/20200501.aa (download: Unknown size, generated: Unknown size, total: Unknown size) to /root/.cache/huggingface/datasets/wikipedia/20200501.aa/1.0.0...
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/common.cpython-36m-x86_64-linux-gnu.so in apache_beam.runners.common.DoFnRunner.process()
44 frames
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/common.cpython-36m-x86_64-linux-gnu.so in apache_beam.runners.common.PerWindowInvoker.invoke_process()
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/common.cpython-36m-x86_64-linux-gnu.so in apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window()
/usr/local/lib/python3.6/dist-packages/apache_beam/io/iobase.py in process(self, element, init_result)
1081 writer.write(e)
-> 1082 return [window.TimestampedValue(writer.close(), timestamp.MAX_TIMESTAMP)]
1083
/usr/local/lib/python3.6/dist-packages/apache_beam/io/filebasedsink.py in close(self)
422 def close(self):
--> 423 self.sink.close(self.temp_handle)
424 return self.temp_shard_path
/usr/local/lib/python3.6/dist-packages/apache_beam/io/parquetio.py in close(self, writer)
537 if len(self._buffer[0]) > 0:
--> 538 self._flush_buffer()
539 if self._record_batches_byte_size > 0:
/usr/local/lib/python3.6/dist-packages/apache_beam/io/parquetio.py in _flush_buffer(self)
569 for b in x.buffers():
--> 570 size = size + b.size
571 self._record_batches_byte_size = self._record_batches_byte_size + size
AttributeError: 'NoneType' object has no attribute 'size'
During handling of the above exception, another exception occurred:
AttributeError Traceback (most recent call last)
<ipython-input-9-340aabccefff> in <module>()
----> 1 dset = nlp.load_dataset('wikipedia')
/usr/local/lib/python3.6/dist-packages/nlp/load.py in load_dataset(path, name, version, data_dir, data_files, split, cache_dir, download_config, download_mode, ignore_verifications, save_infos, **config_kwargs)
518 download_mode=download_mode,
519 ignore_verifications=ignore_verifications,
--> 520 save_infos=save_infos,
521 )
522
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in download_and_prepare(self, download_config, download_mode, ignore_verifications, save_infos, dl_manager, **download_and_prepare_kwargs)
370 verify_infos = not save_infos and not ignore_verifications
371 self._download_and_prepare(
--> 372 dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
373 )
374 # Sync info
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in _download_and_prepare(self, dl_manager, verify_infos)
770 with beam.Pipeline(runner=beam_runner, options=beam_options,) as pipeline:
771 super(BeamBasedBuilder, self)._download_and_prepare(
--> 772 dl_manager, pipeline=pipeline, verify_infos=False
773 ) # TODO{beam} verify infos
774
/usr/local/lib/python3.6/dist-packages/apache_beam/pipeline.py in __exit__(self, exc_type, exc_val, exc_tb)
501 def __exit__(self, exc_type, exc_val, exc_tb):
502 if not exc_type:
--> 503 self.run().wait_until_finish()
504
505 def visit(self, visitor):
/usr/local/lib/python3.6/dist-packages/apache_beam/pipeline.py in run(self, test_runner_api)
481 return Pipeline.from_runner_api(
482 self.to_runner_api(use_fake_coders=True), self.runner,
--> 483 self._options).run(False)
484
485 if self._options.view_as(TypeOptions).runtime_type_check:
/usr/local/lib/python3.6/dist-packages/apache_beam/pipeline.py in run(self, test_runner_api)
494 finally:
495 shutil.rmtree(tmpdir)
--> 496 return self.runner.run_pipeline(self, self._options)
497
498 def __enter__(self):
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/direct/direct_runner.py in run_pipeline(self, pipeline, options)
128 runner = BundleBasedDirectRunner()
129
--> 130 return runner.run_pipeline(pipeline, options)
131
132
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/portability/fn_api_runner.py in run_pipeline(self, pipeline, options)
553
554 self._latest_run_result = self.run_via_runner_api(
--> 555 pipeline.to_runner_api(default_environment=self._default_environment))
556 return self._latest_run_result
557
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/portability/fn_api_runner.py in run_via_runner_api(self, pipeline_proto)
563 # TODO(pabloem, BEAM-7514): Create a watermark manager (that has access to
564 # the teststream (if any), and all the stages).
--> 565 return self.run_stages(stage_context, stages)
566
567 @contextlib.contextmanager
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/portability/fn_api_runner.py in run_stages(self, stage_context, stages)
704 stage,
705 pcoll_buffers,
--> 706 stage_context.safe_coders)
707 metrics_by_stage[stage.name] = stage_results.process_bundle.metrics
708 monitoring_infos_by_stage[stage.name] = (
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/portability/fn_api_runner.py in _run_stage(self, worker_handler_factory, pipeline_components, stage, pcoll_buffers, safe_coders)
1071 cache_token_generator=cache_token_generator)
1072
-> 1073 result, splits = bundle_manager.process_bundle(data_input, data_output)
1074
1075 def input_for(transform_id, input_id):
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/portability/fn_api_runner.py in process_bundle(self, inputs, expected_outputs)
2332
2333 with UnboundedThreadPoolExecutor() as executor:
-> 2334 for result, split_result in executor.map(execute, part_inputs):
2335
2336 split_result_list += split_result
/usr/lib/python3.6/concurrent/futures/_base.py in result_iterator()
584 # Careful not to keep a reference to the popped future
585 if timeout is None:
--> 586 yield fs.pop().result()
587 else:
588 yield fs.pop().result(end_time - time.monotonic())
/usr/lib/python3.6/concurrent/futures/_base.py in result(self, timeout)
430 raise CancelledError()
431 elif self._state == FINISHED:
--> 432 return self.__get_result()
433 else:
434 raise TimeoutError()
/usr/lib/python3.6/concurrent/futures/_base.py in __get_result(self)
382 def __get_result(self):
383 if self._exception:
--> 384 raise self._exception
385 else:
386 return self._result
/usr/local/lib/python3.6/dist-packages/apache_beam/utils/thread_pool_executor.py in run(self)
42 # If the future wasn't cancelled, then attempt to execute it.
43 try:
---> 44 self._future.set_result(self._fn(*self._fn_args, **self._fn_kwargs))
45 except BaseException as exc:
46 # Even though Python 2 futures library has #set_exection(),
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/portability/fn_api_runner.py in execute(part_map)
2329 self._registered,
2330 cache_token_generator=self._cache_token_generator)
-> 2331 return bundle_manager.process_bundle(part_map, expected_outputs)
2332
2333 with UnboundedThreadPoolExecutor() as executor:
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/portability/fn_api_runner.py in process_bundle(self, inputs, expected_outputs)
2243 process_bundle_descriptor_id=self._bundle_descriptor.id,
2244 cache_tokens=[next(self._cache_token_generator)]))
-> 2245 result_future = self._worker_handler.control_conn.push(process_bundle_req)
2246
2247 split_results = [] # type: List[beam_fn_api_pb2.ProcessBundleSplitResponse]
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/portability/fn_api_runner.py in push(self, request)
1557 self._uid_counter += 1
1558 request.instruction_id = 'control_%s' % self._uid_counter
-> 1559 response = self.worker.do_instruction(request)
1560 return ControlFuture(request.instruction_id, response)
1561
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/worker/sdk_worker.py in do_instruction(self, request)
413 # E.g. if register is set, this will call self.register(request.register))
414 return getattr(self, request_type)(
--> 415 getattr(request, request_type), request.instruction_id)
416 else:
417 raise NotImplementedError
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/worker/sdk_worker.py in process_bundle(self, request, instruction_id)
448 with self.maybe_profile(instruction_id):
449 delayed_applications, requests_finalization = (
--> 450 bundle_processor.process_bundle(instruction_id))
451 monitoring_infos = bundle_processor.monitoring_infos()
452 monitoring_infos.extend(self.state_cache_metrics_fn())
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/worker/bundle_processor.py in process_bundle(self, instruction_id)
837 for data in data_channel.input_elements(instruction_id,
838 expected_transforms):
--> 839 input_op_by_transform_id[data.transform_id].process_encoded(data.data)
840
841 # Finish all operations.
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/worker/bundle_processor.py in process_encoded(self, encoded_windowed_values)
214 decoded_value = self.windowed_coder_impl.decode_from_stream(
215 input_stream, True)
--> 216 self.output(decoded_value)
217
218 def try_split(self, fraction_of_remainder, total_buffer_size):
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/worker/operations.cpython-36m-x86_64-linux-gnu.so in apache_beam.runners.worker.operations.Operation.output()
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/worker/operations.cpython-36m-x86_64-linux-gnu.so in apache_beam.runners.worker.operations.Operation.output()
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/worker/operations.cpython-36m-x86_64-linux-gnu.so in apache_beam.runners.worker.operations.SingletonConsumerSet.receive()
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/worker/operations.cpython-36m-x86_64-linux-gnu.so in apache_beam.runners.worker.operations.DoOperation.process()
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/worker/operations.cpython-36m-x86_64-linux-gnu.so in apache_beam.runners.worker.operations.DoOperation.process()
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/common.cpython-36m-x86_64-linux-gnu.so in apache_beam.runners.common.DoFnRunner.process()
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/common.cpython-36m-x86_64-linux-gnu.so in apache_beam.runners.common.DoFnRunner._reraise_augmented()
/usr/local/lib/python3.6/dist-packages/future/utils/__init__.py in raise_with_traceback(exc, traceback)
417 if traceback == Ellipsis:
418 _, _, traceback = sys.exc_info()
--> 419 raise exc.with_traceback(traceback)
420
421 else:
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/common.cpython-36m-x86_64-linux-gnu.so in apache_beam.runners.common.DoFnRunner.process()
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/common.cpython-36m-x86_64-linux-gnu.so in apache_beam.runners.common.PerWindowInvoker.invoke_process()
/usr/local/lib/python3.6/dist-packages/apache_beam/runners/common.cpython-36m-x86_64-linux-gnu.so in apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window()
/usr/local/lib/python3.6/dist-packages/apache_beam/io/iobase.py in process(self, element, init_result)
1080 for e in bundle[1]: # values
1081 writer.write(e)
-> 1082 return [window.TimestampedValue(writer.close(), timestamp.MAX_TIMESTAMP)]
1083
1084
/usr/local/lib/python3.6/dist-packages/apache_beam/io/filebasedsink.py in close(self)
421
422 def close(self):
--> 423 self.sink.close(self.temp_handle)
424 return self.temp_shard_path
/usr/local/lib/python3.6/dist-packages/apache_beam/io/parquetio.py in close(self, writer)
536 def close(self, writer):
537 if len(self._buffer[0]) > 0:
--> 538 self._flush_buffer()
539 if self._record_batches_byte_size > 0:
540 self._write_batches(writer)
/usr/local/lib/python3.6/dist-packages/apache_beam/io/parquetio.py in _flush_buffer(self)
568 for x in arrays:
569 for b in x.buffers():
--> 570 size = size + b.size
571 self._record_batches_byte_size = self._record_batches_byte_size + size
AttributeError: 'NoneType' object has no attribute 'size' [while running 'train/Save to parquet/Write/WriteImpl/WriteBundles']
```
I have seen that somebody is hard working on easierly loadable wikipedia. #129
Maybe I should wait a few days for that version ? | [
-0.151693657040596,
0.0031179734505712986,
-0.01721995137631893,
0.3954123258590698,
-0.06617990881204605,
0.05573397874832153,
0.04334845393896103,
0.33450591564178467,
0.34885478019714355,
0.11682835966348648,
0.3199314475059509,
0.17322218418121338,
-0.1478527933359146,
-0.08189928531646729,
-0.01621277816593647,
-0.4596615731716156,
-0.05198840796947479,
0.24634312093257904,
0.036584511399269104,
-0.05598796159029007,
-0.2965039908885956,
0.26790305972099304,
-0.2995697259902954,
0.10403278470039368,
-0.062527135014534,
-0.14766912162303925,
0.15097150206565857,
0.02395063266158104,
-0.29176852107048035,
-0.3756920397281647,
0.04113128408789635,
-0.22728393971920013,
0.276458740234375,
0.149385005235672,
-0.00011269282549619675,
-0.03307882696390152,
0.6667638421058655,
0.013357669115066528,
-0.44841110706329346,
-0.3978945314884186,
-0.13652655482292175,
-0.40732458233833313,
0.45148614048957825,
-0.27835771441459656,
0.010811317712068558,
-0.18324361741542816,
0.31934037804603577,
0.17982664704322815,
0.41272208094596863,
0.29741474986076355,
0.21510018408298492,
0.013292597606778145,
0.31618088483810425,
0.02897258661687374,
0.43313151597976685,
0.023455947637557983,
0.03768175095319748,
-0.0828801766037941,
-0.13199615478515625,
0.03415637090802193,
-0.12720993161201477,
0.15120497345924377,
-0.2554621398448944,
0.08563674241304398,
0.3495388329029083,
-0.19634704291820526,
-0.07118009030818939,
-0.5439115762710571,
0.13230374455451965,
0.14068518579006195,
0.6836255788803101,
-0.0462401919066906,
0.16607220470905304,
0.09736326336860657,
0.11649153381586075,
0.0578923374414444,
0.23870915174484253,
0.32420703768730164,
-0.42637380957603455,
-0.307910293340683,
-0.2179972529411316,
-0.2496739625930786,
-0.2927874028682709,
0.46477872133255005,
0.04294848442077637,
0.5524105429649353,
-0.06267870962619781,
0.22764933109283447,
-0.04183027893304825,
-0.023902731016278267,
-0.06886515021324158,
-0.12929455935955048,
0.028790965676307678,
0.30135399103164673,
0.06049501523375511,
0.09357427060604095,
0.021501585841178894,
0.22951214015483856,
0.1968696415424347,
-0.04341677203774452,
-0.17343543469905853,
-0.14541487395763397,
0.1463513821363449,
0.1465436816215515,
0.033378347754478455,
0.25672200322151184,
0.1367916613817215,
-0.16623738408088684,
0.18984878063201904,
0.2154504805803299,
-0.06594224274158478,
0.08795039355754852,
-0.03179527074098587,
-0.17879745364189148,
-0.4661918878555298,
0.023530906066298485,
0.26094889640808105,
-0.17632582783699036,
-0.03626012057065964,
0.04170391336083412,
-0.4259178042411804,
-0.2416982799768448,
-0.029363814741373062,
0.3228066861629486,
-0.21127068996429443,
0.3525010347366333,
0.3740544617176056,
0.07673772424459457,
-0.31700360774993896,
-0.3271936774253845,
0.02015337347984314,
0.2933019995689392,
-0.2867268919944763,
0.08495870232582092,
0.2305872142314911,
0.30473366379737854,
0.3511444330215454,
-0.017778735607862473,
-0.07731505483388901,
0.008209096267819405,
0.1638401299715042,
-0.08172626048326492,
-0.21706622838974,
0.23867292702198029,
0.3142967224121094,
0.27012449502944946,
0.05848691612482071,
-0.332556813955307,
-0.07982154190540314,
0.254853755235672,
-0.33965858817100525,
-0.07505931705236435,
-0.0339420884847641,
0.16418908536434174,
-0.1057850643992424,
0.01375927496701479,
-0.3482522666454315,
0.24756571650505066,
0.030831562355160713,
-0.28464385867118835,
-0.17346782982349396,
-0.16041061282157898,
-0.08583085238933563,
-0.35577037930488586,
0.2626804709434509,
0.335042804479599,
0.131585955619812,
-0.1066659688949585,
-0.0884825810790062,
0.16788513958454132,
0.2250353991985321,
0.056384842842817307,
-0.12499355524778366,
0.47264978289604187,
-0.04442116245627403,
-0.07877182960510254,
0.7422001361846924,
-0.13415741920471191,
-0.17248478531837463,
0.23401010036468506,
0.13185381889343262,
0.019068745896220207,
0.06142447516322136,
-0.06255600601434708,
0.12045765668153763,
0.08603455871343613,
-0.051529474556446075,
0.5668156147003174,
-0.011338646523654461,
0.03431916609406471,
-0.40983110666275024,
-0.25147753953933716,
0.17665830254554749,
0.06843876838684082,
0.38605496287345886,
0.1507289707660675,
0.010939043946564198,
0.5279049277305603,
0.0819583311676979,
-0.03969411179423332,
0.026423240080475807,
0.31999671459198,
-0.29706114530563354,
-0.09037414193153381,
-0.021785547956824303,
0.06996910274028778,
-0.17513729631900787,
-0.025476504117250443,
-0.3948400616645813,
0.15085020661354065,
0.15849962830543518,
0.10617557168006897,
-0.35405784845352173,
-0.14297135174274445,
-0.05245694890618324,
-0.15489013493061066,
0.16197283565998077,
0.18550892174243927,
0.09486580640077591,
0.15069252252578735,
0.05413711816072464,
0.06682353466749191,
-0.12752558290958405,
-0.0409192331135273,
-0.6120954751968384,
0.18550734221935272,
-0.2736169099807739,
-0.07680417597293854,
0.11377458274364471,
0.21021729707717896,
0.24915462732315063,
0.011265655048191547,
-0.12344212830066681,
0.006875910330563784,
-0.20115110278129578,
-0.06263715028762817,
-0.02723286859691143,
-0.07050889730453491,
0.2022545486688614,
-0.30023106932640076,
0.31451138854026794,
0.29330945014953613,
0.15260125696659088,
-0.13237051665782928,
0.08773339539766312,
-0.07689134776592255,
0.11841434240341187,
0.34047192335128784,
0.07403912395238876,
0.10327699035406113,
0.004244550596922636,
-0.06271012127399445,
-0.0017371755093336105,
0.22774799168109894,
0.3068399429321289,
0.4291991889476776,
0.09851831197738647,
-0.10778782516717911,
0.0011931288754567504,
-0.20937272906303406,
0.3699369430541992,
0.04473289102315903,
0.044053446501493454,
0.26717719435691833,
-0.4355997145175934,
-0.015432687476277351,
0.11218643933534622,
-0.16287510097026825,
0.1669238954782486,
0.22491246461868286,
-0.15550874173641205,
-0.03987416252493858,
-0.08139263838529587,
-0.12739376723766327,
0.2003765106201172,
0.17848215997219086,
0.3696187436580658,
0.1193413957953453,
0.08972032368183136,
0.0779440701007843,
-0.07833750545978546,
-0.13671456277370453,
-0.14669497311115265,
0.3170481026172638,
-0.3040980100631714,
0.07823984324932098,
-0.02340966835618019,
-0.47671744227409363,
-0.2430296540260315,
0.04412423074245453,
-0.45233386754989624,
-0.3893645703792572,
-0.04385954514145851,
0.26631447672843933,
0.1046174094080925,
0.09521634876728058,
0.34473276138305664,
0.14382682740688324,
-0.01657269522547722,
-0.09474804997444153,
-0.16188697516918182,
-0.2388002574443817,
-0.4626998007297516,
0.060326848179101944,
0.3643648326396942,
0.2716529369354248,
0.2625262439250946,
-0.035812169313430786,
0.0011127227917313576,
-0.016718665137887,
-0.26169806718826294,
0.03566254675388336,
-0.0869230329990387,
0.19745071232318878,
-0.10585213452577591,
0.4281998574733734,
-0.06742076575756073,
-0.1935691088438034,
0.26940399408340454,
-0.035429082810878754,
-0.0946541279554367,
0.07878173142671585,
-0.13136239349842072,
0.01989568956196308,
-0.018720518797636032,
-0.39383915066719055,
-0.19605647027492523,
-0.5722577571868896,
0.03628240153193474,
0.501702606678009,
0.15746314823627472,
0.1577187478542328,
0.22311848402023315,
0.07921379804611206,
0.3722139000892639,
0.3003678321838379,
-0.07484975457191467,
0.08280817419290543,
0.3569963872432709,
-0.24258437752723694,
-0.45372599363327026,
0.006872965954244137,
-0.253528356552124,
0.209784135222435,
0.1102369949221611,
-0.5408006310462952,
-0.06307720392942429,
-0.036177199333906174,
-0.09409040957689285,
-0.07280664145946503,
0.09220873564481735,
0.402617484331131,
-0.02519356645643711,
0.06426370143890381,
0.03355047479271889,
-0.004459687974303961,
-0.15063703060150146,
-0.2979057729244232,
0.5397564172744751,
0.3464970290660858,
0.3857063353061676,
-0.12387070804834366,
0.9763133525848389,
0.11937141418457031,
-0.01083992701023817,
0.21248701214790344,
0.15789906680583954,
0.044725485146045685,
-0.20025980472564697,
-0.21275098621845245,
0.14212355017662048,
-0.015238258056342602,
-0.051309067755937576,
0.37091273069381714,
-0.09053631126880646,
-0.2564305365085602,
-0.28977712988853455,
-0.05816497281193733,
-0.2621937394142151,
-0.12282552570104599,
0.23912300169467926,
0.04297126457095146,
0.1968315690755844,
-0.11754629015922546,
0.047273602336645126,
-0.060971930623054504,
-0.37045368552207947,
0.08413860201835632,
0.2635551989078522,
-0.059675224125385284,
0.08931051194667816,
0.23530299961566925,
-0.1747618019580841,
-0.500149667263031,
0.4032238721847534,
0.029550744220614433,
0.09460243582725525,
-0.23251847922801971,
-0.02591860666871071,
0.17269589006900787,
-0.043921180069446564,
0.22944073379039764,
-0.17277593910694122,
-0.1800784468650818,
0.3131050765514374,
0.2789316177368164,
-0.49311912059783936,
-0.007160308305174112,
-0.22605569660663605,
0.2164933830499649,
0.3188696801662445,
-0.06501603126525879,
-0.44683459401130676,
0.01183990016579628,
0.35860759019851685,
0.26255926489830017,
-0.16119292378425598,
-0.06786514073610306,
-0.4241851568222046,
-0.10542388260364532,
-0.3580247163772583,
-0.16014021635055542,
-0.1432640552520752,
0.37815916538238525,
0.014349212870001793,
0.08232944458723068,
-0.051163963973522186,
-0.075337253510952,
0.030097167938947678,
0.05655326694250107,
0.131614550948143,
0.15762104094028473,
-0.3129267990589142,
-0.17733922600746155,
0.25707873702049255,
-0.3667420446872711,
0.20740579068660736,
0.3398808240890503,
0.02243984304368496,
0.009034660644829273,
0.16051527857780457,
0.10108721256256104,
0.12117061764001846,
0.038661688566207886,
-0.09372314065694809,
-0.0935019701719284,
-0.020338034257292747,
-0.10446936637163162,
0.048884227871894836,
0.20298327505588531,
-0.18986760079860687,
-0.19062060117721558,
-0.18611255288124084,
0.9091110229492188,
0.11542623490095139,
-0.0842638686299324,
0.39913392066955566,
-0.10438898205757141,
-0.3004433214664459,
0.4643958806991577,
0.292350172996521,
1.0337499380111694,
-0.05213111266493797,
0.07410811632871628,
0.35504236817359924,
0.1453927904367447,
0.5975178480148315,
-0.5634702444076538,
0.24681447446346283,
-0.46771350502967834,
0.19664157927036285,
-0.042075593024492264,
-0.08887271583080292,
0.18185439705848694,
-0.025461917743086815,
-0.4229593575000763,
0.30799633264541626,
0.21473188698291779,
0.0531659834086895,
-0.004552381578832865,
0.49724245071411133,
-0.0075475783087313175,
-0.2034151405096054,
-0.20266906917095184,
0.11879844963550568,
-0.4527357518672943,
0.4196886420249939,
-0.31372296810150146,
-0.07739096134901047,
-0.03727024421095848,
-0.2664511501789093,
-0.32122600078582764,
0.23819111287593842,
-0.2842641770839691,
0.2605055272579193,
-0.07888054102659225,
-0.40404394268989563,
0.13645227253437042,
0.20011760294437408,
-0.07382778078317642,
0.22187964618206024,
-0.36752083897590637,
0.30768585205078125,
-0.3412059545516968,
-0.3970908224582672,
-0.16703733801841736,
0.30388787388801575,
0.3126794993877411,
-0.20412328839302063,
-0.09111820161342621,
0.26975324749946594,
-0.15746261179447174,
-0.1934327632188797,
-0.11627263575792313,
-0.04585758596658707,
0.40364253520965576,
-0.08228084444999695,
-0.28408196568489075,
0.0886298343539238,
-0.11740061640739441,
0.10527415573596954,
0.12881609797477722,
-0.15789073705673218,
-0.02384245954453945,
-0.11178715527057648,
0.4168771505355835,
-0.12245702743530273,
0.1530793458223343,
0.21601298451423645,
0.35127541422843933,
-0.0435100793838501,
0.6242594718933105,
0.24895085394382477,
-0.12671321630477905,
-0.19333410263061523,
-0.08216233551502228,
-0.3634004592895508,
-0.22032591700553894,
-0.13269227743148804,
0.061043016612529755,
0.026035446673631668,
-0.16175736486911774,
0.3119335472583771,
0.04571117088198662,
0.14814680814743042,
0.08541948348283768,
-0.47049397230148315,
-0.08573392033576965,
0.36615797877311707,
-0.21597418189048767,
-0.026713917031884193,
0.12702395021915436,
-0.11448001116514206,
0.46333301067352295,
0.13523519039154053,
-0.25165560841560364,
-0.19684088230133057,
-0.2700384557247162,
0.20194405317306519,
0.33353719115257263,
-0.03152146562933922,
-0.09637937694787979,
0.18977418541908264,
0.03872344642877579,
-0.18776541948318481,
-0.19673025608062744,
-0.1924375295639038,
0.07814862579107285,
0.16214889287948608,
0.20964877307415009,
-0.058084242045879364,
-0.10040754824876785,
-0.2537476122379303,
0.04045746475458145,
-0.17626875638961792,
-0.1704917699098587,
-0.28467410802841187,
-0.16244164109230042,
0.07903806120157242,
-0.06264567375183105,
0.28314584493637085,
-0.39182183146476746,
0.21595941483974457,
-0.15372933447360992,
0.4537641108036041,
0.11765002459287643,
0.04202544316649437,
0.5127456188201904,
-0.05549119785428047,
-0.742989182472229,
0.03110523149371147,
0.013880020938813686,
0.11196313798427582,
0.2513464391231537,
-0.10180898755788803,
0.07591332495212555,
-0.05008946731686592,
-0.18661361932754517,
0.017427248880267143,
-0.12645657360553741,
0.0703163743019104,
0.1133556067943573,
0.15643495321273804,
-0.16165652871131897,
0.36316391825675964,
0.39460426568984985,
0.17278116941452026,
-0.17091768980026245,
0.07866676151752472,
0.03425207361578941,
-0.09170572459697723,
-0.0037516900338232517,
0.22608576714992523,
-0.005977886263281107,
-0.05571694299578667,
0.02320878580212593,
-0.12723250687122345,
-0.025319501757621765,
-0.013457526452839375,
0.01118869986385107,
-0.020251518115401268,
0.1281440705060959,
0.11533665657043457,
-0.14658227562904358,
0.18406178057193756,
0.05437787249684334,
0.006913813296705484,
0.015742264688014984,
-0.18640635907649994,
0.23530153930187225,
0.15203320980072021,
0.37113532423973083,
0.04706316068768501,
0.049872931092977524,
0.04481019079685211,
0.11762654781341553,
-0.14441314339637756,
-0.40655189752578735,
0.18063049018383026,
-0.12935365736484528,
0.12624388933181763,
-0.4547828137874603,
-0.07528630644083023,
-0.28914448618888855,
0.14150774478912354,
0.10705230385065079,
-0.27662789821624756,
0.05717267468571663,
0.2894270122051239,
-0.3486204445362091,
-0.40836644172668457,
0.43975427746772766,
0.14451606571674347,
0.0271508377045393,
-0.1534154862165451,
0.36439886689186096,
-0.15128156542778015,
0.01810949482023716,
-0.08264714479446411,
0.3836381435394287,
0.3436252474784851,
0.5497422218322754,
-0.4759595990180969,
-0.05491875112056732,
0.055612847208976746,
-0.15051960945129395,
-0.07915592938661575,
0.11907359957695007,
0.41159501671791077,
0.23406964540481567,
0.18227386474609375,
0.13737614452838898,
-0.23148714005947113,
-0.03167314454913139,
0.18226882815361023,
-0.10571838170289993,
-0.08262036740779877,
0.16354778409004211,
0.0025952819269150496,
-0.1768181473016739,
-0.24999602138996124,
-0.029853418469429016,
-0.6789047122001648,
0.08470112085342407,
-0.017861977219581604,
0.19374942779541016,
-0.09923865646123886,
-0.3172447681427002,
0.02822941169142723,
-0.19291317462921143,
0.4531595706939697,
0.33714962005615234,
0.3244170546531677,
-0.3690620958805084,
-0.316669762134552,
-0.3890509605407715,
0.15989811718463898,
-0.3162235617637634,
-0.32014793157577515,
-0.0997476801276207,
0.23386456072330475,
-0.15514890849590302,
0.3409184515476227,
-0.23970557749271393,
-0.0007632964407093823,
0.07648119330406189,
0.029247336089611053,
-0.26590412855148315,
-0.16083385050296783,
0.04977137967944145,
-0.11939380317926407,
-0.30618563294410706,
-0.12973977625370026,
-0.00499378889799118,
-0.27574965357780457,
0.06248539313673973,
-0.026223525404930115,
-0.2599046528339386,
0.2788181006908417,
0.053318269550800323,
0.2739657163619995,
0.07670798152685165,
0.6266771554946899,
-0.10283458977937698,
-0.06840343773365021,
-0.0048559242859482765,
-0.06971412897109985,
-0.06355009227991104,
0.369738906621933,
0.036819349974393845,
0.5085331797599792,
-0.0811917632818222,
0.17832891643047333,
-0.35964682698249817,
0.4930324852466583,
-0.2634871006011963,
0.14966392517089844,
-0.11382648348808289,
-0.13014152646064758,
-0.23576200008392334,
0.3155687749385834,
-0.03986441716551781,
0.08727336674928665,
-0.11603278666734695,
0.07417324930429459,
-0.4722546935081482,
-0.21190254390239716,
0.3164297938346863,
-0.7915250062942505,
-0.32634249329566956,
0.11869248002767563,
0.09361732751131058,
-0.08433309197425842,
0.023439448326826096,
-0.5125062465667725,
-0.06366899609565735,
0.2648862600326538,
-0.07161718606948853,
-0.1045154258608818,
0.036423906683921814,
-0.11945299804210663,
-0.05821135640144348,
-0.11786211282014847,
-0.22919057309627533,
-0.12916326522827148,
-0.2262614518404007,
-0.18604294955730438,
-0.30095985531806946
] |
https://github.com/huggingface/datasets/issues/186 | Weird-ish: Not creating unique caches for different phases | Looks like a duplicate of #120.
This is already fixed on master. We'll do a new release on pypi soon | Sample code:
```python
import nlp
dataset = nlp.load_dataset('boolq')
def func1(x):
return x
def func2(x):
return None
train_output = dataset["train"].map(func1)
valid_output = dataset["validation"].map(func1)
print()
print(len(train_output), len(valid_output))
# Output: 9427 9427
```
The map method in both cases seem to be pointing to the same cache, so the latter call based on the validation data will return the processed train data cache.
What's weird is that the following doesn't seem to be an issue:
```python
train_output = dataset["train"].map(func2)
valid_output = dataset["validation"].map(func2)
print()
print(len(train_output), len(valid_output))
# 9427 3270
``` | 20 | Weird-ish: Not creating unique caches for different phases
Sample code:
```python
import nlp
dataset = nlp.load_dataset('boolq')
def func1(x):
return x
def func2(x):
return None
train_output = dataset["train"].map(func1)
valid_output = dataset["validation"].map(func1)
print()
print(len(train_output), len(valid_output))
# Output: 9427 9427
```
The map method in both cases seem to be pointing to the same cache, so the latter call based on the validation data will return the processed train data cache.
What's weird is that the following doesn't seem to be an issue:
```python
train_output = dataset["train"].map(func2)
valid_output = dataset["validation"].map(func2)
print()
print(len(train_output), len(valid_output))
# 9427 3270
```
Looks like a duplicate of #120.
This is already fixed on master. We'll do a new release on pypi soon | [
0.31512728333473206,
-0.1353009045124054,
-0.005951723549515009,
0.20902203023433685,
0.09835135191679001,
-0.18703681230545044,
0.26089388132095337,
0.3269939720630646,
-0.11203468590974808,
-0.12795446813106537,
-0.10739775747060776,
0.42777031660079956,
0.0819041058421135,
-0.20389345288276672,
0.09390942007303238,
0.06840937584638596,
0.16564147174358368,
0.11475648730993271,
-0.11452031135559082,
-0.04316292703151703,
-0.17623722553253174,
0.10245171934366226,
-0.08972615003585815,
-0.11245474219322205,
-0.4616793990135193,
0.1460486650466919,
-0.2929145097732544,
-0.1581559032201767,
0.21726307272911072,
-0.3920985460281372,
0.36049801111221313,
0.07840566337108612,
-0.2556280791759491,
0.2644159495830536,
-0.00011643479228951037,
-0.039437536150217056,
0.18988557159900665,
-0.060470204800367355,
-0.09947331249713898,
0.15082624554634094,
0.020187849178910255,
-0.14972253143787384,
0.16033527255058289,
-0.3118847906589508,
-0.016639070585370064,
0.11477650701999664,
0.05911470949649811,
0.1327991783618927,
0.5603551268577576,
0.06728798896074295,
0.19152870774269104,
0.2768820822238922,
-0.30456361174583435,
0.19945140182971954,
0.1582948863506317,
-0.09230409562587738,
-0.19662749767303467,
-0.07651348412036896,
0.01852801814675331,
-0.27605998516082764,
-0.03462275117635727,
0.3285544812679291,
-0.09903604537248611,
0.09711853414773941,
-0.01888144761323929,
0.09337884187698364,
0.16540858149528503,
-0.19152803719043732,
0.08571892231702805,
0.06397523730993271,
-0.12460657954216003,
-0.32999730110168457,
-0.2282964140176773,
-0.3659476339817047,
-0.22737930715084076,
-0.3725854158401489,
0.13380685448646545,
0.12148881703615189,
-0.1510031521320343,
-0.11508475244045258,
-0.2887340784072876,
0.25837573409080505,
0.18000300228595734,
0.06546581536531448,
0.1485069841146469,
0.34907928109169006,
0.17052233219146729,
0.003995365463197231,
0.20543481409549713,
0.16464833915233612,
-0.022904587909579277,
-0.1676708459854126,
0.0393318347632885,
0.38251474499702454,
-0.32864564657211304,
-0.13506928086280823,
0.2580425441265106,
-0.037614598870277405,
-0.020884132012724876,
-0.035171277821063995,
0.29355984926223755,
-0.05806310474872589,
0.03003242425620556,
0.03780967369675636,
0.14594827592372894,
0.4408576488494873,
-0.05845896154642105,
0.26226186752319336,
0.03631458804011345,
-0.11190104484558105,
-0.4782034456729889,
0.07153692841529846,
0.3043484091758728,
0.0876687541604042,
0.3045758008956909,
0.05559048801660538,
-0.07608956098556519,
-0.09867508709430695,
0.042736250907182693,
0.0919157937169075,
-0.36047303676605225,
-0.1665520817041397,
0.04151659458875656,
0.12388278543949127,
0.010513640940189362,
0.1854729950428009,
-0.2612519860267639,
0.04123657941818237,
-0.5030214190483093,
0.1690860092639923,
-0.3158501386642456,
0.011568352580070496,
-0.4746894836425781,
0.3021249771118164,
0.24822424352169037,
-0.20883476734161377,
0.2746181786060333,
0.3141807019710541,
-0.2436193972826004,
-0.2717684507369995,
0.29848557710647583,
-0.2096518874168396,
0.3557654321193695,
0.09198487550020218,
-0.11236432939767838,
0.20934966206550598,
-0.052222371101379395,
0.17951080203056335,
-0.20357491075992584,
0.10834082216024399,
-0.10235651582479477,
-0.18052832782268524,
0.34438708424568176,
0.16676528751850128,
-0.2625376284122467,
0.15600068867206573,
0.3252079486846924,
0.21365152299404144,
0.7869164943695068,
-0.38525721430778503,
0.1696179360151291,
-0.07720289379358292,
-0.26347315311431885,
-0.3530147075653076,
-0.03340945020318031,
0.2723200023174286,
0.1240132749080658,
-0.3135716915130615,
0.16955463588237762,
0.23233555257320404,
0.0021237735636532307,
0.536086916923523,
-0.16725347936153412,
0.15477752685546875,
-0.3208006024360657,
0.03022231161594391,
0.42413291335105896,
-0.29382672905921936,
-0.46321913599967957,
0.12359775602817535,
-0.010486197657883167,
0.1751442700624466,
0.11865287274122238,
0.1941884607076645,
0.11643951386213303,
-0.2828816771507263,
0.20412351191043854,
0.04053018242120743,
-0.10490675270557404,
0.09167338162660599,
-0.37813296914100647,
0.014631930738687515,
0.36010071635246277,
-0.24554404616355896,
0.00028567822300828993,
0.06188805028796196,
-0.17130638659000397,
-0.00008949417679104954,
0.26358166337013245,
0.0021526766940951347,
0.1317972093820572,
0.0214458666741848,
-0.055076345801353455,
-0.18047355115413666,
0.07052109390497208,
-0.18271572887897491,
0.010328990407288074,
0.20688147842884064,
-0.29167306423187256,
-0.030908558517694473,
0.24033528566360474,
-0.11940125375986099,
0.1090473011136055,
-0.27650561928749084,
-0.26970338821411133,
-0.49192124605178833,
0.17864233255386353,
0.05129995942115784,
0.48496001958847046,
-0.008755461312830448,
-0.08701686561107635,
0.2997876703739166,
0.39124882221221924,
-0.11880869418382645,
-0.3205806016921997,
0.11166036874055862,
-0.0021976525895297527,
-0.16491961479187012,
-0.3592391312122345,
0.5168808698654175,
0.2101716548204422,
-0.008701741695404053,
-0.12740252912044525,
-0.04566918686032295,
0.005072710569947958,
0.08217803388834,
-0.2594386637210846,
0.08567119389772415,
0.10755643248558044,
0.14894217252731323,
0.03267953544855118,
0.11418800055980682,
-0.03314938023686409,
-0.27372342348098755,
0.12674428522586823,
0.4829832911491394,
0.33497685194015503,
0.10381148755550385,
-0.00017368566477671266,
-0.08665511012077332,
-0.06366544216871262,
-0.1597079336643219,
-0.22713622450828552,
-0.34744197130203247,
0.25259506702423096,
-0.03174927830696106,
0.42569899559020996,
0.27518168091773987,
-0.04970972239971161,
0.27717718482017517,
0.5075845122337341,
0.1860629916191101,
-0.022791942581534386,
-0.09178189933300018,
-0.015192250721156597,
-0.26299044489860535,
-0.09401454031467438,
0.21855512261390686,
0.5466564893722534,
0.09933163225650787,
0.14615938067436218,
0.18917647004127502,
-0.32118386030197144,
-0.20500116050243378,
-0.029941141605377197,
-0.12286622822284698,
0.06329682469367981,
-0.042650241404771805,
0.372071236371994,
-0.08435295522212982,
-0.2066480666399002,
0.3466504216194153,
0.18771202862262726,
-0.12854504585266113,
0.0377684161067009,
0.21131888031959534,
-0.23826146125793457,
-0.4322882294654846,
-0.39855045080184937,
-0.2013999968767166,
-0.12059210240840912,
-0.3052797317504883,
0.12759985029697418,
0.3070927858352661,
0.09445134550333023,
0.2894099950790405,
-0.20783603191375732,
0.08653610199689865,
-0.1703331172466278,
-0.15077190101146698,
0.0021727054845541716,
-0.3452710211277008,
-0.31340834498405457,
0.03228013217449188,
-0.016492845490574837,
-0.27436086535453796,
0.2854226529598236,
0.018409553915262222,
-0.17341504991054535,
-0.14144840836524963,
-0.39166557788848877,
0.20791587233543396,
-0.008682504296302795,
-0.20053057372570038,
-0.1986219733953476,
-0.3684796392917633,
0.09001265466213226,
0.012221753597259521,
0.3374743163585663,
-0.36552634835243225,
-0.2437644898891449,
0.055022940039634705,
-0.08614606410264969,
0.10925415903329849,
-0.27967268228530884,
-0.10740357637405396,
-0.14487729966640472,
-0.04877825081348419,
0.20083190500736237,
-0.2825668156147003,
0.2501550614833832,
0.3470873236656189,
-0.25498172640800476,
-0.09772118180990219,
-0.15965349972248077,
-0.16263151168823242,
-0.46251705288887024,
-0.03685716539621353,
0.21641822159290314,
-0.31619638204574585,
-0.18905670940876007,
-0.38392335176467896,
-0.34720781445503235,
0.26691120862960815,
0.17019592225551605,
-0.4356415271759033,
-0.43334972858428955,
-0.06118972226977348,
0.07350410521030426,
0.17087793350219727,
0.049322787672281265,
0.38772571086883545,
-0.17816771566867828,
-0.018233617767691612,
-0.15335536003112793,
-0.3007083237171173,
0.2078815996646881,
0.3963834345340729,
0.35678863525390625,
-0.1756996512413025,
0.22636643052101135,
0.13107091188430786,
0.5557454228401184,
0.6314631700515747,
0.06918271631002426,
0.37321674823760986,
-0.013673664070665836,
0.2152680903673172,
-0.26185542345046997,
-0.19998620450496674,
0.1839577853679657,
-0.15264496207237244,
-0.2572272717952728,
0.1832878291606903,
0.1761987805366516,
-0.5797125697135925,
-0.0666341483592987,
0.16522343456745148,
-0.2786339819431305,
-0.3541928231716156,
0.09116538614034653,
-0.31370463967323303,
0.22862091660499573,
0.3108310103416443,
0.23395323753356934,
-0.4184882640838623,
-0.1160450428724289,
-0.12488027662038803,
-0.30661094188690186,
0.145527184009552,
0.09425253421068192,
-0.09625311940908432,
-0.24743641912937164,
-0.4561162292957306,
0.2061755210161209,
0.24228817224502563,
0.12783102691173553,
0.022665008902549744,
-0.23083990812301636,
0.06999538838863373,
0.01940426044166088,
0.47368669509887695,
-0.03395957127213478,
-0.00395257817581296,
0.1012183353304863,
-0.07110397517681122,
-0.4034295678138733,
-0.27929311990737915,
0.23190322518348694,
0.4614941477775574,
0.4238903820514679,
0.280887246131897,
-0.2117939442396164,
-0.107090525329113,
-0.07216458022594452,
0.13284073770046234,
-0.23876836895942688,
-0.39052334427833557,
-0.23795558512210846,
-0.06291782855987549,
0.06605024635791779,
0.07129424065351486,
-0.12635454535484314,
-0.18954655528068542,
-0.19810223579406738,
-0.07180879265069962,
0.19534040987491608,
-0.039148710668087006,
0.03154447302222252,
0.24644145369529724,
0.2672860622406006,
-0.12621742486953735,
0.17920587956905365,
0.17825384438037872,
-0.10764848440885544,
-0.4886571764945984,
0.411167711019516,
-0.18163643777370453,
0.3603590428829193,
0.18541871011257172,
-0.05674765631556511,
-0.02005329541862011,
0.4066057503223419,
0.19946962594985962,
0.14544092118740082,
-0.07756051421165466,
-0.07732496410608292,
-0.026072409003973007,
-0.2263960838317871,
0.3206343650817871,
0.0029677601996809244,
-0.2382083386182785,
-0.45535337924957275,
0.2363225370645523,
0.15792153775691986,
-0.14968997240066528,
0.2283804714679718,
-0.611373245716095,
-0.11635436117649078,
0.39091721177101135,
-0.19715014100074768,
0.7841211557388306,
0.02420222759246826,
0.47903725504875183,
0.22325576841831207,
-0.05244666710495949,
0.3801923096179962,
-0.04663291946053505,
0.363625705242157,
-0.39555588364601135,
0.18653641641139984,
0.12171275168657303,
-0.17433688044548035,
-0.3330659866333008,
0.021303121000528336,
0.06636742502450943,
0.43155157566070557,
0.2073083370923996,
0.4841274321079254,
0.02028064616024494,
-0.21137680113315582,
0.20552659034729004,
0.020139843225479126,
-0.32142770290374756,
0.17260459065437317,
0.05149513855576515,
0.24724800884723663,
-0.06316377967596054,
-0.22587209939956665,
-0.0719219222664833,
-0.16542288661003113,
-0.03188101202249527,
0.2956012189388275,
-0.13948620855808258,
0.40801385045051575,
0.35625526309013367,
-0.2011682391166687,
-0.6638274192810059,
0.09609916806221008,
0.13754110038280487,
-0.39595767855644226,
-0.015468145720660686,
-0.11183487623929977,
0.47419604659080505,
0.41549742221832275,
-0.05152164399623871,
-0.2530067563056946,
0.36641210317611694,
-0.07084542512893677,
-0.04830017685890198,
-0.05500293895602226,
-0.008599490858614445,
-0.408769816160202,
-0.2352360635995865,
0.3175221085548401,
-0.3334675133228302,
0.050755083560943604,
0.1347249299287796,
0.1830376386642456,
-0.07473701238632202,
-0.11483446508646011,
0.11003774404525757,
0.07397695630788803,
-0.12934580445289612,
0.3518597185611725,
-0.35450470447540283,
-0.10786081850528717,
0.03488926589488983,
0.28572145104408264,
0.2867709696292877,
0.08036472648382187,
0.36261263489723206,
-0.2709967792034149,
0.06172782555222511,
-0.036722809076309204,
-0.33266276121139526,
-0.31491509079933167,
-0.32015693187713623,
0.10790388286113739,
-0.25350451469421387,
-0.18748392164707184,
0.10250499844551086,
0.007121643517166376,
0.12069142609834671,
0.37156033515930176,
-0.08053586632013321,
-0.18930572271347046,
-0.5517708659172058,
-0.0539889857172966,
-0.10335443168878555,
0.16097642481327057,
-0.017603009939193726,
0.6225496530532837,
0.07026710361242294,
0.3935421109199524,
-0.28945863246917725,
-0.020571837201714516,
-0.015656696632504463,
0.22764624655246735,
-0.13291803002357483,
-0.4048028290271759,
-0.05415891483426094,
0.14537984132766724,
0.04365763068199158,
0.33607983589172363,
-0.48687249422073364,
-0.2018185257911682,
-0.16914953291416168,
0.1019672304391861,
0.14670836925506592,
0.1432407945394516,
-0.2514541447162628,
0.13051357865333557,
0.3261987268924713,
-0.34623983502388,
0.1161704882979393,
0.16987378895282745,
0.02248508483171463,
0.19154693186283112,
0.16412387788295746,
0.06718508899211884,
0.14418604969978333,
0.11707290261983871,
-0.14140474796295166,
-0.05994485318660736,
0.16280736029148102,
0.18861624598503113,
-0.13985177874565125,
0.15012967586517334,
-0.1367887705564499,
-0.16258274018764496,
-0.11337701231241226,
-0.0793284997344017,
-0.10075557231903076,
-0.27143847942352295,
-0.12925611436367035,
0.0730399563908577,
0.21172864735126495,
0.22056743502616882,
-0.08022341877222061,
-0.17486293613910675,
-0.10348466038703918,
0.16781772673130035,
0.06923587620258331,
0.10698191821575165,
0.35733723640441895,
0.2053389847278595,
0.07064788043498993,
0.3598752021789551,
0.4193611443042755,
-0.0002605749177746475,
0.468264102935791,
0.0346510075032711,
-0.0801459327340126,
-0.4715936481952667,
0.26750659942626953,
0.010570721700787544,
0.19505758583545685,
0.08407580852508545,
0.348564475774765,
-0.28407397866249084,
-0.07184179872274399,
0.06369445472955704,
0.2873610258102417,
0.160660520195961,
-0.029453329741954803,
-0.07150264084339142,
0.08202347904443741,
0.01956474967300892,
-0.2752048075199127,
0.02920747548341751,
-0.09377871453762054,
0.25051403045654297,
0.04363810271024704,
0.3715866506099701,
-0.154639333486557,
-0.18234418332576752,
-0.42075127363204956,
0.3165487051010132,
-0.28920936584472656,
-0.2860289514064789,
0.2699081599712372,
-0.300624817609787,
0.27491578459739685,
0.14489205181598663,
-0.04462646692991257,
0.19261585175991058,
0.7117822766304016,
0.060089077800512314,
-0.027329353615641594,
-0.15319880843162537,
-0.31560951471328735,
0.2999633848667145,
0.3962082862854004,
-0.10624194145202637,
0.3474762737751007,
0.06683923304080963,
-0.3460542559623718,
-0.15965600311756134,
0.1851087510585785,
0.3952046036720276,
0.2746727764606476,
-0.284920334815979,
0.16531194746494293,
0.3119156062602997,
0.0437200702726841,
-0.14279311895370483,
0.28440603613853455,
0.464445024728775,
-0.2753711938858032,
0.1001332625746727,
0.0773630440235138,
-0.16198544204235077,
0.3374537527561188,
0.09224097430706024,
0.26263728737831116,
-0.20471571385860443,
0.5761632919311523,
-0.05505999177694321,
-0.07937569916248322,
0.00896922592073679,
0.20302976667881012,
-0.5066412687301636,
-0.12212084233760834,
0.06195857748389244,
0.05762336403131485,
0.16316378116607666,
-0.22196756303310394,
0.09016372263431549,
0.10871478915214539,
0.3901248872280121,
0.12524504959583282,
0.13043196499347687,
-0.2856215238571167,
-0.016745034605264664,
-0.5698696970939636,
0.3329300284385681,
-0.3890036344528198,
0.24580825865268707,
-0.18367396295070648,
0.2748158276081085,
-0.26683545112609863,
0.03942573070526123,
0.14697878062725067,
-0.21078917384147644,
0.18485157191753387,
0.10188589990139008,
-0.45321252942085266,
0.025243505835533142,
0.07228831946849823,
-0.1955050826072693,
0.25490930676460266,
-0.23168125748634338,
0.021740231662988663,
-0.01908258907496929,
0.13105100393295288,
0.0037308516912162304,
-0.0033552173990756273,
0.2672175467014313,
0.5061389207839966,
0.28892892599105835,
0.42512625455856323,
0.2001941055059433,
0.040501903742551804,
-0.18851473927497864,
-0.3905124068260193,
0.032601166516542435,
-0.031582023948431015,
-0.24561211466789246,
-0.0693584680557251,
0.33418580889701843,
-0.3125980794429779,
-0.11305247992277145,
-0.2842993140220642,
0.22645701467990875,
0.08093848079442978,
-0.3933439254760742,
0.17809881269931793,
-0.0364459753036499,
-0.1294269561767578,
0.060526106506586075,
0.030793631449341774,
0.7254055738449097,
0.016145482659339905,
0.4419613480567932,
-0.18536292016506195,
-0.25712719559669495,
0.381931334733963,
-0.6724092960357666,
-0.26144281029701233,
0.0037971956189721823,
0.3030821979045868,
0.09342247247695923,
-0.1773826628923416,
-0.5309107899665833,
-0.12437997758388519,
0.17774006724357605,
-0.1675693690776825,
-0.12121253460645676,
0.18059739470481873,
-0.19370536506175995,
-0.03503301367163658,
-0.010602850466966629,
0.16422653198242188,
0.09443073719739914,
-0.26849403977394104,
0.27279263734817505,
-0.25110703706741333
] |
https://github.com/huggingface/datasets/issues/183 | [Bug] labels of glue/ax are all -1 | This is the test set given by the Glue benchmark. The labels are not provided, and therefore set to -1. | ```
ax = nlp.load_dataset('glue', 'ax')
for i in range(30): print(ax['test'][i]['label'], end=', ')
```
```
-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,
``` | 20 | [Bug] labels of glue/ax are all -1
```
ax = nlp.load_dataset('glue', 'ax')
for i in range(30): print(ax['test'][i]['label'], end=', ')
```
```
-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,
```
This is the test set given by the Glue benchmark. The labels are not provided, and therefore set to -1. | [
0.2502778470516205,
-0.36407655477523804,
-0.061697643250226974,
0.13931097090244293,
-0.06844886392354965,
-0.0784343034029007,
0.34460070729255676,
0.26304805278778076,
0.37012946605682373,
0.19107188284397125,
-0.2715182602405548,
0.684173583984375,
-0.06559257209300995,
0.11889583617448807,
0.18207645416259766,
-0.11214101314544678,
-0.10166774690151215,
0.3471296727657318,
-0.15045088529586792,
-0.1217602863907814,
-0.26120510697364807,
0.3785853385925293,
-0.2576518654823303,
0.14147385954856873,
-0.17962245643138885,
-0.10173988342285156,
-0.15014229714870453,
0.07673332095146179,
-0.03307449072599411,
-0.40146902203559875,
0.10599248856306076,
0.14746470749378204,
-0.10761843621730804,
-0.12033428251743317,
-0.00010571897291811183,
-0.286956787109375,
0.2894553244113922,
0.07167448848485947,
0.032456304877996445,
0.12928707897663116,
-0.14674852788448334,
-0.2972312867641449,
-0.03970690816640854,
-0.3864680528640747,
-0.057140301913022995,
-0.0009060862939804792,
0.04592839628458023,
-0.12836821377277374,
0.1665225327014923,
0.16479063034057617,
0.24084700644016266,
0.15829423069953918,
0.0880788043141365,
0.13617262244224548,
0.45657652616500854,
-0.476816862821579,
0.04431513324379921,
0.2460300624370575,
0.09880738705396652,
-0.3428689241409302,
-0.016030726954340935,
0.45544907450675964,
0.1296474188566208,
0.1253586709499359,
0.03968087583780289,
0.14423783123493195,
0.03318944573402405,
-0.35992252826690674,
-0.08386991918087006,
0.4264651834964752,
0.13150835037231445,
-0.3524520993232727,
-0.3100077509880066,
-0.20165713131427765,
0.21391217410564423,
-0.3125109374523163,
-0.06473931670188904,
0.14203506708145142,
-0.01629771664738655,
0.009706767275929451,
0.037663187831640244,
0.10280227661132812,
-0.12196788936853409,
0.1391846388578415,
0.13890403509140015,
0.5842685699462891,
-0.020311454311013222,
0.06995396316051483,
0.369263619184494,
-0.0291570033878088,
-0.18502463400363922,
0.09218551963567734,
-0.020079748705029488,
0.17599351704120636,
-0.28078651428222656,
-0.19722893834114075,
0.1095440685749054,
0.10077425837516785,
0.021075474098324776,
0.044597383588552475,
0.2250245064496994,
0.03807009756565094,
0.20733854174613953,
0.16420292854309082,
0.08044945448637009,
0.2856958508491516,
0.38481634855270386,
0.2837713956832886,
0.028997106477618217,
0.062447454780340195,
-0.12825195491313934,
0.20890238881111145,
-0.014154486358165741,
-0.10458941757678986,
0.2733451724052429,
-0.09539518505334854,
-0.0748538076877594,
-0.12386669218540192,
-0.3194423019886017,
-0.025794045999646187,
-0.2851247191429138,
0.002068463247269392,
-0.17965783178806305,
0.24445238709449768,
0.027863161638379097,
0.015347889624536037,
-0.03464910015463829,
0.09597476571798325,
-0.15768207609653473,
-0.16153304278850555,
-0.2969713509082794,
0.37302058935165405,
-0.23291729390621185,
-0.25091084837913513,
0.14201587438583374,
0.20792824029922485,
0.28334102034568787,
0.02848709747195244,
-0.13069738447666168,
0.037280045449733734,
0.14972753822803497,
-0.020442349836230278,
0.2775793671607971,
0.11669644713401794,
-0.0686403214931488,
0.10494789481163025,
-0.010465960018336773,
-0.3798038959503174,
-0.27661022543907166,
-0.08015425503253937,
0.09214683622121811,
0.07429850101470947,
0.023174403235316277,
0.2386457473039627,
-0.17580634355545044,
0.02703120745718479,
0.18054549396038055,
0.09859385341405869,
-0.09635763615369797,
0.20633026957511902,
0.14499203860759735,
-0.14029522240161896,
-0.11530105024576187,
-0.1897801011800766,
0.291601300239563,
0.2018367350101471,
-0.30105817317962646,
-0.11395082622766495,
0.08180438727140427,
-0.03524620085954666,
-0.1266513466835022,
0.0524621345102787,
0.22159940004348755,
0.005408497992902994,
-0.26821544766426086,
0.22213934361934662,
0.29200905561447144,
-0.5699794888496399,
-0.46014702320098877,
0.02611774392426014,
-0.0982159823179245,
-0.11541435867547989,
0.08403782546520233,
0.07993191480636597,
-0.02733754925429821,
0.2073451429605484,
0.3057434856891632,
0.27592071890830994,
0.14640164375305176,
-0.014055615290999413,
-0.3354366719722748,
0.14553871750831604,
0.38180625438690186,
0.1446693390607834,
-0.1724829077720642,
-0.16292215883731842,
-0.2000306248664856,
-0.1649155616760254,
0.2638298571109772,
0.11475209891796112,
-0.08811508864164352,
0.26813000440597534,
0.012011575512588024,
-0.35355862975120544,
0.1252511590719223,
-0.146011620759964,
-0.23448701202869415,
0.24857302010059357,
-0.23344486951828003,
0.3903799057006836,
0.27938413619995117,
-0.13543899357318878,
-0.39104682207107544,
-0.009539817459881306,
-0.021590683609247208,
-0.22261139750480652,
0.2764017581939697,
0.02215607464313507,
0.3353918790817261,
0.061245836317539215,
-0.09688244760036469,
0.3609968423843384,
0.09802162647247314,
0.041608333587646484,
-0.36970967054367065,
0.09687378257513046,
-0.0590873658657074,
-0.04003338888287544,
0.24726365506649017,
0.5104695558547974,
0.2441357523202896,
-0.05340401455760002,
0.13028854131698608,
0.3582191467285156,
-0.02366030029952526,
0.012895838357508183,
0.08359035849571228,
-0.017381837591528893,
-0.04296481981873512,
-0.2957713007926941,
0.09626934677362442,
0.16723622381687164,
0.08046342432498932,
-0.04020118713378906,
-0.15581445395946503,
0.3673767149448395,
0.09383957833051682,
0.051863767206668854,
0.11298225075006485,
0.0980573445558548,
-0.09670699387788773,
-0.29650360345840454,
-0.3145453631877899,
-0.13945312798023224,
0.33484122157096863,
-0.2254427820444107,
0.35534968972206116,
0.04052095115184784,
-0.2502380311489105,
0.20897160470485687,
0.44670554995536804,
0.024678420275449753,
0.20379212498664856,
-0.11887607723474503,
-0.2853447496891022,
-0.10063906013965607,
0.054819826036691666,
0.5218161940574646,
0.16740678250789642,
0.4208613336086273,
0.01765083149075508,
-0.059704698622226715,
-0.3939405381679535,
-0.0734596997499466,
0.16773934662342072,
-0.08496905863285065,
0.07969265431165695,
-0.08924123644828796,
0.20133495330810547,
-0.1482599377632141,
-0.18963713943958282,
0.05562856048345566,
-0.24803279340267181,
0.2343175858259201,
-0.2628103196620941,
-0.19544865190982819,
-0.08484257012605667,
-0.4971703886985779,
-0.2795572876930237,
-0.29548323154449463,
-0.14680400490760803,
-0.5272939205169678,
0.13580918312072754,
-0.2413763552904129,
-0.02068505249917507,
0.22529415786266327,
0.05436062812805176,
0.16112087666988373,
-0.18304085731506348,
0.07843808829784393,
-0.20593921840190887,
-0.1355559527873993,
-0.21072636544704437,
0.15992191433906555,
-0.2740514278411865,
0.520328938961029,
0.39891332387924194,
-0.09670893102884293,
0.07538869976997375,
0.319004625082016,
-0.21436874568462372,
-0.0005633768159896135,
-0.17378319799900055,
0.2465425729751587,
0.4136919379234314,
0.0018736866768449545,
-0.127711221575737,
-0.012991977855563164,
0.24294660985469818,
-0.43880903720855713,
-0.0056831007823348045,
-0.06721764802932739,
0.20725597441196442,
-0.03913981840014458,
-0.14822231233119965,
-0.40482693910598755,
-0.3648361563682556,
-0.22120994329452515,
0.23954327404499054,
0.2358979731798172,
0.25962013006210327,
0.1151956245303154,
-0.3311711549758911,
0.32700538635253906,
-0.1680484116077423,
-0.03360207378864288,
-0.15168657898902893,
-0.05473482236266136,
0.24902035295963287,
-0.10521707683801651,
-0.29829564690589905,
-0.2496383786201477,
-0.1970980167388916,
0.22305883467197418,
-0.29266539216041565,
-0.21160593628883362,
-0.1770162731409073,
-0.07414986938238144,
-0.14019392430782318,
0.027845093980431557,
0.22281521558761597,
0.11768713593482971,
0.03263407200574875,
-0.15178051590919495,
-0.1452549695968628,
-0.24856771528720856,
0.33657950162887573,
0.052055880427360535,
-0.1408713459968567,
0.03853704780340195,
0.03523235023021698,
0.014001336880028248,
0.17996087670326233,
0.11784433573484421,
-0.12312270700931549,
0.19788780808448792,
-0.2788589298725128,
0.29525047540664673,
0.23055298626422882,
-0.25402912497520447,
0.010372273623943329,
0.31672465801239014,
0.26697054505348206,
0.13920320570468903,
0.11717017740011215,
-0.32901662588119507,
-0.09989454597234726,
0.11832193285226822,
-0.26283541321754456,
-0.05908059701323509,
0.03934871405363083,
-0.10333249717950821,
-0.21532249450683594,
0.020680006593465805,
-0.036073118448257446,
-0.10807149112224579,
-0.17250454425811768,
-0.04275650531053543,
-0.3998684883117676,
-0.08388248085975647,
-0.03833531215786934,
-0.6121565103530884,
-0.1214403510093689,
-0.5194762349128723,
0.15431684255599976,
0.04839479550719261,
0.47348713874816895,
-0.010718682780861855,
-0.09485885500907898,
-0.031376928091049194,
0.030421029776334763,
0.5715872645378113,
-0.4146973490715027,
0.21319133043289185,
0.4603511691093445,
0.18213896453380585,
-0.6949966549873352,
0.005641167052090168,
-0.5489999651908875,
-0.11691171675920486,
0.6284412741661072,
0.26226386427879333,
-0.24899615347385406,
-0.1502830982208252,
0.2737720310688019,
0.01633804850280285,
-0.09192755818367004,
-0.16651655733585358,
-0.2935797870159149,
-0.22302326560020447,
-0.036795105785131454,
0.14788106083869934,
-0.009105734527111053,
0.2636661231517792,
0.19725759327411652,
-0.07814434170722961,
0.0583055354654789,
-0.21258723735809326,
0.14469777047634125,
0.22399598360061646,
0.2999827563762665,
0.06814354658126831,
-0.038512926548719406,
0.11713040620088577,
0.21222597360610962,
-0.678682804107666,
0.12109210342168808,
-0.5201428532600403,
0.35461097955703735,
-0.2175755798816681,
-0.2540552020072937,
0.465171217918396,
0.16192786395549774,
0.046617623418569565,
-0.16148285567760468,
-0.5788983702659607,
0.21016021072864532,
-0.047842368483543396,
0.020869791507720947,
0.2084854245185852,
0.16397510468959808,
-0.23401503264904022,
-0.075669065117836,
0.5497071146965027,
0.0684775561094284,
-0.22469250857830048,
0.33281832933425903,
0.19439494609832764,
-0.3568423390388489,
0.41191157698631287,
-0.08889126032590866,
0.9092607498168945,
-0.09022440761327744,
-0.007592036388814449,
0.25458523631095886,
-0.36367499828338623,
0.6806232929229736,
0.14083026349544525,
0.12344533950090408,
-0.5268470644950867,
-0.39480623602867126,
0.06874214112758636,
-0.08320699632167816,
-0.12789766490459442,
0.27551546692848206,
-0.22262027859687805,
0.41558218002319336,
0.07301419228315353,
-0.19334641098976135,
0.022332942113280296,
0.38627687096595764,
0.0031904629431664944,
-0.1048494353890419,
-0.34154433012008667,
0.15480980277061462,
-0.032970476895570755,
0.1674894094467163,
-0.06146250292658806,
-0.019678613170981407,
-0.13237015902996063,
-0.21145190298557281,
-0.04834187030792236,
0.19770091772079468,
-0.2182677835226059,
-0.16570332646369934,
0.3732074499130249,
-0.030513174831867218,
-0.45243945717811584,
0.13093148171901703,
0.1828852891921997,
0.12453830242156982,
0.006406495813280344,
0.05262504145503044,
0.17659805715084076,
0.0018508562352508307,
0.5183131098747253,
0.25722214579582214,
0.29605770111083984,
-0.1017708107829094,
-0.05791672691702843,
-0.10081510990858078,
0.08597913384437561,
-0.10533226281404495,
-0.06399103254079819,
0.05866871774196625,
-0.05259699001908302,
-0.14443068206310272,
-0.3400135040283203,
0.0604078471660614,
-0.013499947264790535,
-0.19766484200954437,
0.19822049140930176,
0.09399646520614624,
-0.4110831320285797,
0.27004340291023254,
0.09358714520931244,
-0.3252715468406677,
-0.03687022626399994,
0.3700679540634155,
-0.059865403920412064,
0.43673062324523926,
0.17269733548164368,
0.029365450143814087,
-0.016895228996872902,
-0.2826912999153137,
-0.06539253145456314,
0.3214578926563263,
-0.22965192794799805,
0.0666494145989418,
-0.12342473119497299,
-0.10889716446399689,
-0.02172076888382435,
0.035222701728343964,
0.19642871618270874,
0.1793636530637741,
0.0944259837269783,
-0.4698393642902374,
-0.127084419131279,
0.1616881936788559,
0.06652854382991791,
0.3171401023864746,
0.037787046283483505,
-0.09414634108543396,
0.21790006756782532,
0.3500138521194458,
-0.43584203720092773,
-0.023670760914683342,
-0.20669129490852356,
-0.07812866568565369,
0.4145660996437073,
-0.023621143773198128,
0.07423621416091919,
0.05426977947354317,
0.31571972370147705,
0.07997865229845047,
-0.09340883791446686,
-0.3097279667854309,
-0.18688136339187622,
0.019749615341424942,
-0.07820957154035568,
-0.011729962192475796,
0.025764543563127518,
-0.12001340836286545,
-0.07672463357448578,
-0.06595707684755325,
-0.0914933830499649,
-0.14658717811107635,
0.007815038785338402,
0.4473215937614441,
0.0004195283690933138,
0.0969926044344902,
0.0640295222401619,
0.1166827380657196,
-0.021098095923662186,
-0.2281685322523117,
0.03219021484255791,
0.16215156018733978,
-0.05169977992773056,
-0.09866417944431305,
-0.15055575966835022,
-0.047165077179670334,
-0.38828244805336,
-0.06876639276742935,
0.006775883492082357,
-0.1605016142129898,
-0.09582359343767166,
0.0773942694067955,
0.6340232491493225,
0.010784690268337727,
-0.2965526282787323,
-0.19216470420360565,
0.027980729937553406,
0.3456473648548126,
-0.3949339687824249,
-0.126902237534523,
0.4542474150657654,
0.2467411905527115,
0.2646099627017975,
0.35296595096588135,
0.13911183178424835,
-0.08405221253633499,
-0.1915542334318161,
0.00400015152990818,
0.29133257269859314,
-0.4078510105609894,
-0.16344156861305237,
0.17371119558811188,
-0.14265140891075134,
-0.1698189377784729,
0.32067784667015076,
0.05786522850394249,
0.168035089969635,
0.083892822265625,
0.39065858721733093,
0.576187014579773,
0.1416967511177063,
0.030426671728491783,
-0.05772697553038597,
0.11515709012746811,
-0.07071812450885773,
0.5745172500610352,
-0.027649829164147377,
0.2495676875114441,
0.15677998960018158,
0.5897645950317383,
-0.26135602593421936,
-0.21765825152397156,
-0.04092131182551384,
0.21259474754333496,
-0.03424624726176262,
-0.21949514746665955,
0.13715608417987823,
-0.07145749777555466,
-0.38834118843078613,
-0.0043716044165194035,
0.014580149203538895,
-0.23136131465435028,
0.38037240505218506,
-0.04845985770225525,
0.12762011587619781,
-0.2602135241031647,
-0.1190982460975647,
0.02486773580312729,
0.40308573842048645,
-0.39799290895462036,
0.06432221084833145,
-0.2506301999092102,
0.09554299712181091,
-0.017597749829292297,
0.35474029183387756,
0.1716807633638382,
0.01775095984339714,
-0.25124460458755493,
-0.08426308631896973,
-0.19496102631092072,
-0.11999712884426117,
-0.2027815282344818,
0.2279926836490631,
0.24091891944408417,
0.018384570255875587,
0.4225253760814667,
0.18160413205623627,
-0.22556307911872864,
0.0491376630961895,
0.1672343760728836,
0.09844788163900375,
-0.007040185388177633,
0.49314796924591064,
-0.10184979438781738,
-0.2557190954685211,
-0.26668086647987366,
-0.05131073668599129,
-0.40268993377685547,
-0.06665568053722382,
-0.11750071495771408,
-0.030853325501084328,
0.17395567893981934,
-0.3835694491863251,
0.14161594212055206,
-0.04973562806844711,
0.4453084468841553,
0.012516305781900883,
0.29891666769981384,
-0.21124085783958435,
-0.21040160953998566,
-0.6262405514717102,
-0.022991569712758064,
-0.09374181181192398,
-0.5266149044036865,
0.2152058631181717,
0.02959825098514557,
-0.06426091492176056,
0.020876655355095863,
0.04277653247117996,
0.5819960832595825,
-0.16318999230861664,
-0.1065303236246109,
-0.42306721210479736,
0.11542148143053055,
-0.18298152089118958,
-0.05020393803715706,
0.14122670888900757,
-0.29087457060813904,
0.011112341657280922,
-0.23848788440227509,
0.1909264475107193,
0.07287725061178207,
0.025542670860886574,
0.06769722700119019,
0.27018487453460693,
0.13873106241226196,
0.043671831488609314,
0.2616764307022095,
-0.14459004998207092,
0.08573217689990997,
-0.10288732498884201,
-0.01684618555009365,
-0.29823511838912964,
0.039442457258701324,
0.1075923964381218,
0.33385181427001953,
0.04120611771941185,
0.02199254184961319,
-0.07287892699241638,
0.09334114193916321,
0.16829843819141388,
0.2568712830543518,
0.03382585942745209,
0.19437935948371887,
0.14239339530467987,
-0.04101568087935448,
0.0953967273235321,
0.3407493531703949,
0.005374308209866285,
0.05500326305627823,
-0.012975076213479042,
-0.3489190638065338,
0.4604705274105072,
-0.32872432470321655,
-0.1328890025615692,
0.09408235549926758,
0.3477376103401184,
0.26250365376472473,
-0.24081891775131226,
-0.5395863652229309,
-0.13690753281116486,
0.3368123173713684,
0.042627964168787,
-0.29551684856414795,
0.31263697147369385,
-0.048021964728832245,
0.12107101827859879,
0.05420394986867905,
-0.015983637422323227,
0.29871201515197754,
-0.25793614983558655,
-0.10434528440237045,
-0.2538380026817322
] |
https://github.com/huggingface/datasets/issues/181 | Cannot upload my own dataset | It's my misunderstanding. I cannot just upload a csv. I need to write a dataset loading script too. | I look into `nlp-cli` and `user.py` to learn how to upload my own data.
It is supposed to work like this
- Register to get username, password at huggingface.co
- `nlp-cli login` and type username, passworld
- I have a single file to upload at `./ttc/ttc_freq_extra.csv`
- `nlp-cli upload ttc/ttc_freq_extra.csv`
But I got this error.
```
2020-05-21 16:33:52.722464: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
About to upload file /content/ttc/ttc_freq_extra.csv to S3 under filename ttc/ttc_freq_extra.csv and namespace korakot
Proceed? [Y/n] y
Uploading... This might take a while if files are large
Traceback (most recent call last):
File "/usr/local/bin/nlp-cli", line 33, in <module>
service.run()
File "/usr/local/lib/python3.6/dist-packages/nlp/commands/user.py", line 234, in run
token=token, filename=filename, filepath=filepath, organization=self.args.organization
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 141, in presign_and_upload
urls = self.presign(token, filename=filename, organization=organization)
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 132, in presign
return PresignedUrl(**d)
TypeError: __init__() got an unexpected keyword argument 'cdn'
``` | 18 | Cannot upload my own dataset
I look into `nlp-cli` and `user.py` to learn how to upload my own data.
It is supposed to work like this
- Register to get username, password at huggingface.co
- `nlp-cli login` and type username, passworld
- I have a single file to upload at `./ttc/ttc_freq_extra.csv`
- `nlp-cli upload ttc/ttc_freq_extra.csv`
But I got this error.
```
2020-05-21 16:33:52.722464: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
About to upload file /content/ttc/ttc_freq_extra.csv to S3 under filename ttc/ttc_freq_extra.csv and namespace korakot
Proceed? [Y/n] y
Uploading... This might take a while if files are large
Traceback (most recent call last):
File "/usr/local/bin/nlp-cli", line 33, in <module>
service.run()
File "/usr/local/lib/python3.6/dist-packages/nlp/commands/user.py", line 234, in run
token=token, filename=filename, filepath=filepath, organization=self.args.organization
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 141, in presign_and_upload
urls = self.presign(token, filename=filename, organization=organization)
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 132, in presign
return PresignedUrl(**d)
TypeError: __init__() got an unexpected keyword argument 'cdn'
```
It's my misunderstanding. I cannot just upload a csv. I need to write a dataset loading script too. | [
0.1318960040807724,
-0.12678278982639313,
0.05668966844677925,
-0.028536954894661903,
0.1169990599155426,
-0.15414656698703766,
0.3969919979572296,
-0.06210583820939064,
-0.21482880413532257,
0.25181323289871216,
-0.08670604974031448,
0.1588994711637497,
-0.17180001735687256,
0.29421207308769226,
0.3824804425239563,
0.10448437929153442,
0.0907260850071907,
0.31321385502815247,
0.039624035358428955,
-0.12798340618610382,
-0.2627108693122864,
0.05864519625902176,
-0.016203980892896652,
-0.07316692173480988,
-0.07528486847877502,
-0.18676739931106567,
-0.13502033054828644,
0.2678757607936859,
-0.2258433997631073,
-0.3100970387458801,
0.4256775379180908,
0.20961816608905792,
0.34658488631248474,
0.5284515023231506,
-0.00012068287469446659,
-0.06405141949653625,
0.17346465587615967,
-0.24845094978809357,
-0.5683867931365967,
-0.35898587107658386,
0.08358648419380188,
-0.1341313272714615,
0.08103367686271667,
-0.2865523397922516,
0.22721834480762482,
0.05291759595274925,
0.050873491913080215,
0.13236580789089203,
0.5366078615188599,
0.4095074534416199,
0.12447773665189743,
0.06690984964370728,
-0.2169531136751175,
-0.10151197761297226,
0.008196079172194004,
0.16872473061084747,
-0.03125663101673126,
0.2934637665748596,
0.3192078769207001,
-0.4081140160560608,
0.2917585074901581,
-0.24268227815628052,
-0.03904305025935173,
-0.007285440806299448,
0.5370673537254333,
0.054553668946027756,
-0.053798429667949677,
-0.42572593688964844,
0.004693928174674511,
0.1571439653635025,
0.2818419933319092,
0.033648986369371414,
-0.32898274064064026,
-0.11295104771852493,
0.1115846261382103,
-0.5599851608276367,
0.2091520130634308,
0.3053469657897949,
-0.425655722618103,
-0.03852654993534088,
-0.20674799382686615,
0.33666881918907166,
-0.39196524024009705,
0.47593656182289124,
0.11568745225667953,
0.3350122272968292,
-0.03723040968179703,
0.1301804780960083,
0.28618332743644714,
-0.0934036448597908,
-0.009626006707549095,
0.07325895875692368,
0.025191210210323334,
0.29447096586227417,
-0.16644208133220673,
-0.18143430352210999,
-0.03056635893881321,
-0.2799898386001587,
-0.1150284931063652,
0.09093812853097916,
0.46870890259742737,
-0.18926240503787994,
-0.21843726933002472,
0.16301044821739197,
0.11493644118309021,
0.3294890522956848,
-0.02343839779496193,
0.052270855754613876,
0.1015273928642273,
-0.02500060386955738,
0.3100627362728119,
-0.0896846130490303,
-0.2538236379623413,
-0.10262618958950043,
-0.14759550988674164,
-0.023878026753664017,
0.27968505024909973,
0.12876662611961365,
0.012593479827046394,
-0.1362917423248291,
0.055091071873903275,
0.0633087083697319,
-0.16161294281482697,
0.32300928235054016,
-0.08835189789533615,
-0.26840245723724365,
0.0020207262132316828,
0.27830973267555237,
0.1604539304971695,
-0.2968744933605194,
0.10166545957326889,
0.33483898639678955,
-0.10520272701978683,
-0.15593522787094116,
0.38596177101135254,
0.026123657822608948,
0.1852371245622635,
-0.05975554883480072,
0.22655616700649261,
-0.14647097885608673,
0.022026164457201958,
-0.03487221896648407,
-0.1694040447473526,
0.014915183186531067,
0.23729680478572845,
0.3928620219230652,
-0.03909885510802269,
-0.5896612405776978,
-0.11377377808094025,
0.09599344432353973,
-0.4078330099582672,
-0.3410406708717346,
-0.4582658112049103,
0.056706830859184265,
0.04793150722980499,
-0.18805932998657227,
-0.35079944133758545,
-0.13403895497322083,
0.10075774788856506,
-0.27891290187835693,
-0.0907556414604187,
0.010323682799935341,
-0.0874781534075737,
-0.13204549252986908,
0.061368897557258606,
0.04111165180802345,
-0.5356765985488892,
0.26288166642189026,
-0.08810202032327652,
0.552069902420044,
0.35892918705940247,
0.29697826504707336,
-0.3132718503475189,
0.3023732900619507,
-0.04386701062321663,
0.17262259125709534,
0.5356268286705017,
-0.4726382791996002,
-0.22461484372615814,
0.007902617566287518,
-0.03681112825870514,
-0.17610977590084076,
0.11352511495351791,
0.19710083305835724,
0.12219608575105667,
-0.0631401389837265,
0.09179908037185669,
0.3859570622444153,
0.05037333443760872,
0.018724042922258377,
-0.19749246537685394,
-0.16739971935749054,
0.25019311904907227,
-0.026912853121757507,
-0.16875801980495453,
0.11825593560934067,
0.2636355459690094,
0.0289665125310421,
0.03021087311208248,
-0.3133385479450226,
0.1195906549692154,
0.21816276013851166,
0.33692947030067444,
-0.18201369047164917,
-0.15409104526042938,
0.28230714797973633,
-0.4028118848800659,
0.1659926474094391,
0.1726573258638382,
0.34748631715774536,
-0.05526848882436752,
-0.044146474450826645,
-0.43384432792663574,
-0.1111387237906456,
-0.02036922052502632,
-0.025351950898766518,
0.04577552527189255,
0.11559592932462692,
0.022934842854738235,
-0.23246599733829498,
-0.27188125252723694,
0.10688889771699905,
-0.26044580340385437,
0.04938413202762604,
-0.2114427238702774,
-0.039563607424497604,
-0.32546594738960266,
-0.06348615884780884,
0.25600001215934753,
0.11972158402204514,
0.20380035042762756,
-0.012564628385007381,
-0.16738714277744293,
0.10784434527158737,
-0.42461222410202026,
0.26699548959732056,
-0.030855463817715645,
0.11985618621110916,
0.007746225222945213,
-0.006524687632918358,
-0.2597018778324127,
-0.07866550981998444,
0.22222702205181122,
-0.2051437795162201,
-0.3840412199497223,
0.16649077832698822,
-0.0096189696341753,
0.06530938297510147,
0.12813472747802734,
0.008446881547570229,
0.29795196652412415,
-0.18777604401111603,
0.06347141414880753,
0.1433498114347458,
0.35993725061416626,
0.11930426210165024,
0.3806168735027313,
-0.021553343161940575,
-0.12040477991104126,
-0.15498393774032593,
0.16857102513313293,
0.010845290496945381,
0.13222640752792358,
0.05839194729924202,
0.06194048374891281,
-0.07862579077482224,
0.3246953785419464,
0.5969870686531067,
0.3846932649612427,
0.03554395213723183,
-0.06499963253736496,
-0.008058897219598293,
-0.10091284662485123,
-0.23450545966625214,
-0.025496482849121094,
-0.043070245534181595,
0.042327508330345154,
0.16191336512565613,
0.3972330093383789,
0.2295970916748047,
-0.09001194685697556,
0.027445001527667046,
0.13210530579090118,
0.42635685205459595,
-0.21294213831424713,
0.26301267743110657,
-0.1049758717417717,
-0.4120582342147827,
0.28124263882637024,
-0.2462049275636673,
-0.06726311147212982,
-0.15471328794956207,
-0.18189232051372528,
0.13285882771015167,
0.10234684497117996,
-0.14529000222682953,
0.1561025232076645,
0.37681615352630615,
-0.11184244602918625,
-0.2587057650089264,
-0.23002497851848602,
-0.09443702548742294,
-0.20480398833751678,
0.02289159782230854,
0.28228187561035156,
-0.0796215757727623,
0.3960423469543457,
0.29778990149497986,
0.059125591069459915,
0.003640009555965662,
-0.30800002813339233,
-0.01848365180194378,
-0.04487858712673187,
0.10120924562215805,
0.09834824502468109,
0.38181543350219727,
0.01183316856622696,
-0.5280571579933167,
0.1464269906282425,
0.07743412256240845,
-0.2765725553035736,
0.24847912788391113,
-0.021304475143551826,
-0.35785603523254395,
-0.48331737518310547,
-0.025970444083213806,
-0.23736825585365295,
-0.37235894799232483,
0.23394307494163513,
0.34234684705734253,
0.20104266703128815,
0.6263757944107056,
0.03308162838220596,
0.10552327334880829,
0.3673253655433655,
0.15832513570785522,
0.03778160735964775,
-0.14254717528820038,
0.4890121817588806,
-0.2197069227695465,
-0.41547152400016785,
0.1447935402393341,
-0.15794166922569275,
0.5447526574134827,
-0.07129497826099396,
-0.3519461452960968,
-0.18232190608978271,
0.08118414133787155,
0.1464410424232483,
-0.03778696805238724,
-0.03920019790530205,
0.3170754909515381,
-0.2450893223285675,
0.06349494308233261,
-0.07407782971858978,
-0.34562551975250244,
0.11119983345270157,
0.631762683391571,
0.2669854760169983,
0.0019000984029844403,
0.46685686707496643,
0.0014622043818235397,
0.7395946979522705,
0.07472337037324905,
-0.29264503717422485,
0.41096189618110657,
-0.10046782344579697,
0.2557591199874878,
-0.1761990785598755,
-0.3271771967411041,
0.02762295864522457,
0.1809423863887787,
-0.12938350439071655,
0.12235864251852036,
-0.05677149444818497,
-0.07399090379476547,
-0.4756852686405182,
0.3063320219516754,
-0.29412996768951416,
0.049686651676893234,
0.010090081952512264,
0.10700743645429611,
-0.009691514074802399,
-0.07850060611963272,
-0.22861391305923462,
-0.3366197943687439,
-0.48897427320480347,
-0.18894614279270172,
0.2726038992404938,
-0.21989959478378296,
0.17207488417625427,
-0.6565855145454407,
-0.13269838690757751,
-0.645001232624054,
0.30821242928504944,
-0.16790398955345154,
0.3023480772972107,
-0.18335306644439697,
0.18022285401821136,
0.17020992934703827,
-0.06942977011203766,
0.1479046791791916,
-0.3889737129211426,
-0.20179766416549683,
-0.10400507599115372,
0.31818920373916626,
-0.42693424224853516,
-0.06536194682121277,
-0.07280018925666809,
0.0820649042725563,
0.4818257987499237,
0.20355437695980072,
-0.014485529623925686,
0.0970025435090065,
-0.19211529195308685,
-0.18257421255111694,
-0.20688672363758087,
-0.21783803403377533,
-0.08103331178426743,
-0.6945073008537292,
-0.36785969138145447,
-0.5016219615936279,
0.12273707240819931,
0.139009490609169,
0.14689341187477112,
-0.030241912230849266,
0.21095657348632812,
0.08789093047380447,
0.4853441119194031,
0.004931288305670023,
-0.059936441481113434,
0.6008955836296082,
-0.16515682637691498,
-0.47179046273231506,
0.496304988861084,
-0.11771070957183838,
0.3781428337097168,
0.09147689491510391,
-0.15693651139736176,
-0.13819988071918488,
-0.3253125250339508,
0.47440215945243835,
0.2339237481355667,
0.10316658020019531,
0.28175294399261475,
-0.06286690384149551,
0.026009269058704376,
-0.1506825089454651,
0.4732232391834259,
0.342796266078949,
-0.13644374907016754,
-0.3455304801464081,
-0.14745089411735535,
0.48506879806518555,
-0.20866644382476807,
-0.06152811273932457,
0.22016842663288116,
-0.20480911433696747,
-0.23179934918880463,
0.21763408184051514,
0.16481974720954895,
1.2438881397247314,
-0.05959576740860939,
0.4256589412689209,
0.07456768304109573,
-0.03275956213474274,
0.7743014097213745,
-0.16633498668670654,
0.06815854460000992,
-0.23189252614974976,
0.1349937915802002,
-0.14140096306800842,
-0.061253536492586136,
-0.11391089856624603,
0.1102679967880249,
-0.22976018488407135,
0.10841342061758041,
-0.11354122310876846,
-0.04289872944355011,
0.0006199050112627447,
0.451251357793808,
0.10172685235738754,
-0.34147417545318604,
-0.17380928993225098,
0.06134425848722458,
-0.25388625264167786,
0.31335458159446716,
-0.17983408272266388,
-0.21803885698318481,
-0.3014194369316101,
-0.2326200306415558,
-0.18177863955497742,
0.24452164769172668,
-0.2698897421360016,
0.07795136421918869,
0.0035695654805749655,
-0.32298919558525085,
0.17310458421707153,
0.46305543184280396,
0.5105305910110474,
-0.06357845664024353,
-0.06871617585420609,
-0.009666434489190578,
-0.08557639271020889,
-0.04236757010221481,
-0.0929514542222023,
0.06018447130918503,
0.1363019198179245,
-0.29558834433555603,
0.07367736846208572,
0.32115551829338074,
-0.0851583406329155,
-0.3732730448246002,
-0.21020686626434326,
0.19486312568187714,
0.05941179394721985,
-0.13404139876365662,
-0.353651225566864,
0.06596378237009048,
-0.21248780190944672,
-0.015740210190415382,
0.004534305538982153,
0.03315125033259392,
0.08301077038049698,
-0.09015682339668274,
0.08961178362369537,
-0.19795213639736176,
0.09447414427995682,
0.06312530487775803,
-0.0416487380862236,
-0.04899268597364426,
0.7007595896720886,
-0.12110782414674759,
0.08024582266807556,
-0.04312048479914665,
-0.2052937150001526,
-0.33442604541778564,
-0.14639467000961304,
-0.07787693291902542,
0.3191206157207489,
-0.030446503311395645,
0.039158403873443604,
0.6615248918533325,
0.39813438057899475,
0.1872178018093109,
0.0680561289191246,
-0.11110655218362808,
-0.323156476020813,
-0.31334179639816284,
-0.03441181033849716,
0.20288468897342682,
-0.025104796513915062,
0.21315938234329224,
0.20983292162418365,
0.2966141700744629,
-0.21475601196289062,
-0.18158242106437683,
-0.20305897295475006,
0.17764775454998016,
0.7618896961212158,
-0.013124203309416771,
-0.11110201478004456,
-0.01039541233330965,
-0.033159494400024414,
0.0095929941162467,
-0.1480642706155777,
-0.10335219651460648,
-0.3793175220489502,
0.18479838967323303,
0.530653715133667,
-0.11960484087467194,
-0.014833870343863964,
-0.23938076198101044,
-0.11199570447206497,
-0.12136786431074142,
-0.32977423071861267,
0.041650619357824326,
-0.014645803719758987,
0.20553633570671082,
-0.3102741539478302,
0.39256688952445984,
-0.1536855399608612,
0.17300890386104584,
0.02032848261296749,
0.2511647343635559,
0.06056530401110649,
-0.052163396030664444,
0.15323275327682495,
0.07449077069759369,
-0.39298877120018005,
0.006555031053721905,
-0.1775217205286026,
-0.09909837692975998,
0.025729240849614143,
-0.41810235381126404,
0.15793192386627197,
-0.2215922623872757,
0.02227184548974037,
0.04608582705259323,
-0.5020130276679993,
0.21895766258239746,
0.44168978929519653,
0.08857282251119614,
0.040704675018787384,
0.16635127365589142,
0.07060414552688599,
0.2138996124267578,
0.024118464440107346,
0.2750566899776459,
-0.0007004319340921938,
-0.3031488358974457,
-0.04899626970291138,
-0.22703419625759125,
-0.11426646262407303,
-0.27213311195373535,
0.043391305953264236,
-0.060878656804561615,
-0.4242880046367645,
0.004608695860952139,
0.17042547464370728,
0.1590811014175415,
-0.1035110279917717,
0.15583407878875732,
-0.19883930683135986,
0.09525319188833237,
0.05639875307679176,
-0.11588557064533234,
0.1838594675064087,
-0.23433241248130798,
0.12833629548549652,
-0.045181889086961746,
-0.007980618625879288,
0.3380734324455261,
0.16224469244480133,
0.6163568496704102,
-0.34986597299575806,
-0.011332114227116108,
-0.26698705554008484,
0.05803229659795761,
0.023866893723607063,
0.17970991134643555,
-0.660415768623352,
-0.005375952459871769,
0.06842368096113205,
-0.08650720864534378,
0.03860209509730339,
-0.32679834961891174,
-0.05037999153137207,
0.26297029852867126,
-0.16344895958900452,
0.1078675389289856,
-0.13042381405830383,
0.19259321689605713,
0.1316489577293396,
-0.11263591051101685,
0.3684442937374115,
0.003190580289810896,
-0.03597094863653183,
-0.06830333918333054,
0.05866580083966255,
0.5559297800064087,
0.6175882816314697,
0.1681138575077057,
0.2705540359020233,
0.23017145693302155,
-0.006906915921717882,
0.07748176157474518,
0.16673292219638824,
0.46167081594467163,
0.3019828796386719,
0.1201508566737175,
0.030812909826636314,
-0.12133550643920898,
0.14843043684959412,
0.05331902205944061,
0.0956461951136589,
-0.3158130943775177,
0.22804559767246246,
-0.02910594455897808,
-0.3997560739517212,
-0.1564083844423294,
0.4017167091369629,
-0.45790740847587585,
-0.014089539647102356,
0.19009722769260406,
0.18232698738574982,
0.36742445826530457,
-0.23387102782726288,
0.022305460646748543,
-0.18495407700538635,
0.3975648581981659,
0.4656152129173279,
-0.03612707555294037,
-0.1464557647705078,
-0.21958963572978973,
-0.48715418577194214,
0.17760160565376282,
-0.22294281423091888,
-0.20073817670345306,
-0.3758898377418518,
0.17404401302337646,
0.062224626541137695,
-0.018662473186850548,
0.07831179350614548,
0.08619589358568192,
-0.2741784453392029,
0.02323915995657444,
-0.3622923791408539,
-0.020600583404302597,
-0.12250672280788422,
-0.0025123432278633118,
-0.07682990282773972,
-0.16656649112701416,
0.03956833854317665,
0.11009873449802399,
0.01287685614079237,
0.024147963151335716,
0.24240922927856445,
0.13704907894134521,
0.36731070280075073,
0.4786680042743683,
-0.07187185436487198,
0.7685263752937317,
0.06704562157392502,
0.02057361602783203,
0.049299370497465134,
-0.04225950688123703,
-0.17712531983852386,
-0.0018189174588769674,
0.1784062385559082,
0.3781343400478363,
-0.05883779749274254,
0.34986382722854614,
-0.19776208698749542,
0.06250420212745667,
-0.022588172927498817,
-0.5348160266876221,
0.055299222469329834,
-0.006338216830044985,
-0.0871974527835846,
0.23023846745491028,
0.4238302409648895,
0.08845046907663345,
0.07060226052999496,
-0.14375503361225128,
-0.4335862994194031,
-0.2854062616825104,
0.4140370488166809,
-0.5086390972137451,
-0.300311416387558,
0.22361122071743011,
0.2395336925983429,
-0.02934304066002369,
0.05272843316197395,
-0.2230433225631714,
-0.08505084365606308,
0.13561636209487915,
-0.25086042284965515,
-0.05188949406147003,
0.3241965174674988,
-0.5186465978622437,
0.016272209584712982,
-0.05528751015663147,
0.30498990416526794,
0.2024189978837967,
-0.37965112924575806,
-0.07080454379320145,
-0.21507945656776428
] |
https://github.com/huggingface/datasets/issues/181 | Cannot upload my own dataset | I now try with the sample `datasets/csv` folder.
nlp-cli upload csv
The error is still the same
```
2020-05-21 17:20:56.394659: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
About to upload file /content/csv/csv.py to S3 under filename csv/csv.py and namespace korakot
About to upload file /content/csv/dummy/0.0.0/dummy_data.zip to S3 under filename csv/dummy/0.0.0/dummy_data.zip and namespace korakot
Proceed? [Y/n] y
Uploading... This might take a while if files are large
Traceback (most recent call last):
File "/usr/local/bin/nlp-cli", line 33, in <module>
service.run()
File "/usr/local/lib/python3.6/dist-packages/nlp/commands/user.py", line 234, in run
token=token, filename=filename, filepath=filepath, organization=self.args.organization
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 141, in presign_and_upload
urls = self.presign(token, filename=filename, organization=organization)
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 132, in presign
return PresignedUrl(**d)
TypeError: __init__() got an unexpected keyword argument 'cdn'
```
| I look into `nlp-cli` and `user.py` to learn how to upload my own data.
It is supposed to work like this
- Register to get username, password at huggingface.co
- `nlp-cli login` and type username, passworld
- I have a single file to upload at `./ttc/ttc_freq_extra.csv`
- `nlp-cli upload ttc/ttc_freq_extra.csv`
But I got this error.
```
2020-05-21 16:33:52.722464: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
About to upload file /content/ttc/ttc_freq_extra.csv to S3 under filename ttc/ttc_freq_extra.csv and namespace korakot
Proceed? [Y/n] y
Uploading... This might take a while if files are large
Traceback (most recent call last):
File "/usr/local/bin/nlp-cli", line 33, in <module>
service.run()
File "/usr/local/lib/python3.6/dist-packages/nlp/commands/user.py", line 234, in run
token=token, filename=filename, filepath=filepath, organization=self.args.organization
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 141, in presign_and_upload
urls = self.presign(token, filename=filename, organization=organization)
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 132, in presign
return PresignedUrl(**d)
TypeError: __init__() got an unexpected keyword argument 'cdn'
``` | 116 | Cannot upload my own dataset
I look into `nlp-cli` and `user.py` to learn how to upload my own data.
It is supposed to work like this
- Register to get username, password at huggingface.co
- `nlp-cli login` and type username, passworld
- I have a single file to upload at `./ttc/ttc_freq_extra.csv`
- `nlp-cli upload ttc/ttc_freq_extra.csv`
But I got this error.
```
2020-05-21 16:33:52.722464: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
About to upload file /content/ttc/ttc_freq_extra.csv to S3 under filename ttc/ttc_freq_extra.csv and namespace korakot
Proceed? [Y/n] y
Uploading... This might take a while if files are large
Traceback (most recent call last):
File "/usr/local/bin/nlp-cli", line 33, in <module>
service.run()
File "/usr/local/lib/python3.6/dist-packages/nlp/commands/user.py", line 234, in run
token=token, filename=filename, filepath=filepath, organization=self.args.organization
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 141, in presign_and_upload
urls = self.presign(token, filename=filename, organization=organization)
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 132, in presign
return PresignedUrl(**d)
TypeError: __init__() got an unexpected keyword argument 'cdn'
```
I now try with the sample `datasets/csv` folder.
nlp-cli upload csv
The error is still the same
```
2020-05-21 17:20:56.394659: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
About to upload file /content/csv/csv.py to S3 under filename csv/csv.py and namespace korakot
About to upload file /content/csv/dummy/0.0.0/dummy_data.zip to S3 under filename csv/dummy/0.0.0/dummy_data.zip and namespace korakot
Proceed? [Y/n] y
Uploading... This might take a while if files are large
Traceback (most recent call last):
File "/usr/local/bin/nlp-cli", line 33, in <module>
service.run()
File "/usr/local/lib/python3.6/dist-packages/nlp/commands/user.py", line 234, in run
token=token, filename=filename, filepath=filepath, organization=self.args.organization
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 141, in presign_and_upload
urls = self.presign(token, filename=filename, organization=organization)
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 132, in presign
return PresignedUrl(**d)
TypeError: __init__() got an unexpected keyword argument 'cdn'
```
| [
0.05260507017374039,
-0.028109177947044373,
0.05533065274357796,
-0.002076217671856284,
0.1455783098936081,
-0.18475791811943054,
0.33769601583480835,
-0.04772253334522247,
-0.1926683783531189,
0.17972227931022644,
-0.13032948970794678,
0.24369046092033386,
-0.21156200766563416,
0.2791496515274048,
0.3693571388721466,
0.06986444443464279,
0.013265009969472885,
0.2872202694416046,
0.012621965259313583,
-0.10832814127206802,
-0.25432002544403076,
0.09193557500839233,
-0.01930961012840271,
-0.08095873892307281,
-0.12342570722103119,
-0.19380082190036774,
-0.08119554072618484,
0.26023662090301514,
-0.22382287681102753,
-0.36161234974861145,
0.49111834168434143,
0.2347916215658188,
0.3647100329399109,
0.5793414115905762,
-0.00011945607548113912,
-0.048161860555410385,
0.16207441687583923,
-0.22125191986560822,
-0.6242924928665161,
-0.4079533517360687,
0.02053179033100605,
-0.15109434723854065,
0.07041117548942566,
-0.25698813796043396,
0.18926163017749786,
0.02318582497537136,
0.021707406267523766,
0.0470513254404068,
0.4896421432495117,
0.40669864416122437,
0.13775812089443207,
0.12786884605884552,
-0.22636938095092773,
-0.13977250456809998,
0.0078122676350176334,
0.1732068806886673,
-0.058755338191986084,
0.2595105469226837,
0.33482596278190613,
-0.40046393871307373,
0.2734425961971283,
-0.19609776139259338,
0.012751558795571327,
-0.03790632635354996,
0.48874005675315857,
-0.02175416611135006,
-0.06072641909122467,
-0.3897155225276947,
-0.011177551001310349,
0.15420448780059814,
0.359345942735672,
-0.017493410035967827,
-0.39059364795684814,
-0.1249680295586586,
0.13513141870498657,
-0.48830851912498474,
0.24852284789085388,
0.2740955054759979,
-0.4021526277065277,
-0.027209019288420677,
-0.26199376583099365,
0.3479146361351013,
-0.4030779004096985,
0.44457802176475525,
0.10771244764328003,
0.37084653973579407,
-0.037059519439935684,
0.09139953553676605,
0.2884840667247772,
-0.15400110185146332,
0.0222611241042614,
0.038142263889312744,
0.02801339514553547,
0.26813408732414246,
-0.21565788984298706,
-0.15431590378284454,
0.011640980839729309,
-0.23738588392734528,
-0.08751226216554642,
0.11485116183757782,
0.42785215377807617,
-0.12593218684196472,
-0.2469717115163803,
0.14052730798721313,
0.10184363275766373,
0.3375079333782196,
0.023060964420437813,
0.12450456619262695,
0.13154950737953186,
0.003659794107079506,
0.24482949078083038,
-0.07746660709381104,
-0.2943651080131531,
-0.08862198889255524,
-0.11200959980487823,
-0.05212016776204109,
0.2688553035259247,
0.07469891011714935,
-0.007578806485980749,
-0.10847937315702438,
0.07862377911806107,
0.042311180382966995,
-0.08323124051094055,
0.3526003062725067,
-0.059402596205472946,
-0.2365913987159729,
-0.02016693912446499,
0.2576303780078888,
0.14143484830856323,
-0.26095741987228394,
0.06589074432849884,
0.2955012321472168,
-0.12431138008832932,
-0.1489529311656952,
0.4141167104244232,
0.023556025698781013,
0.1915086954832077,
-0.06857948750257492,
0.21296533942222595,
-0.11405139416456223,
0.05686986818909645,
0.029537387192249298,
-0.1648234874010086,
0.017245996743440628,
0.22356106340885162,
0.3928877115249634,
-0.05233939737081528,
-0.5404901504516602,
-0.1403442770242691,
0.023450613021850586,
-0.3477194905281067,
-0.3577897250652313,
-0.4238155484199524,
0.07509467005729675,
0.020578205585479736,
-0.2402537614107132,
-0.33749985694885254,
-0.09723229706287384,
0.09148174524307251,
-0.2820450961589813,
-0.09507915377616882,
-0.045189060270786285,
-0.1562713384628296,
-0.11635982990264893,
0.11207778751850128,
0.06296442449092865,
-0.4992433488368988,
0.21195167303085327,
-0.07937360554933548,
0.5196458697319031,
0.2760166823863983,
0.30383020639419556,
-0.3427070379257202,
0.23301370441913605,
-0.06637613475322723,
0.184780552983284,
0.5762099623680115,
-0.496898353099823,
-0.3117567002773285,
0.04671144112944603,
-0.03056415729224682,
-0.11799032986164093,
0.07224146276712418,
0.17157937586307526,
0.11363746225833893,
-0.08424404263496399,
0.10218207538127899,
0.4385216534137726,
0.06725231558084488,
0.04018228501081467,
-0.22083260118961334,
-0.1542978435754776,
0.2543802261352539,
0.036984529346227646,
-0.1506790667772293,
0.08312279731035233,
0.26047369837760925,
0.06287048012018204,
0.010455841198563576,
-0.3288802206516266,
0.14159730076789856,
0.2101689726114273,
0.35805752873420715,
-0.1686781793832779,
-0.12786732614040375,
0.21730726957321167,
-0.4310542941093445,
0.21843940019607544,
0.18919144570827484,
0.34858348965644836,
-0.13365644216537476,
-0.03646441549062729,
-0.4364340007305145,
-0.10224460065364838,
-0.10477036237716675,
-0.04856071248650551,
0.04172839596867561,
0.12958480417728424,
0.0738745704293251,
-0.18000994622707367,
-0.22281496226787567,
0.15982887148857117,
-0.2588527500629425,
0.06837044656276703,
-0.21001912653446198,
0.035861872136592865,
-0.27387937903404236,
-0.09568676352500916,
0.26330816745758057,
0.16703729331493378,
0.2156517505645752,
-0.015993326902389526,
-0.20170988142490387,
0.0932929590344429,
-0.4534428119659424,
0.28580012917518616,
0.017559455707669258,
0.10015660524368286,
0.036241479218006134,
-0.05520585924386978,
-0.21381926536560059,
-0.10987970978021622,
0.17156188189983368,
-0.15249386429786682,
-0.367725670337677,
0.1745692938566208,
-0.00448804022744298,
0.036084216088056564,
0.16663603484630585,
0.010148579254746437,
0.2959839701652527,
-0.17794907093048096,
0.09211907535791397,
0.09837885946035385,
0.41748350858688354,
0.0931713730096817,
0.4033573567867279,
-0.011018367484211922,
-0.14266139268875122,
-0.08572405576705933,
0.16825512051582336,
-0.0006489527877420187,
0.15058505535125732,
0.07491134107112885,
0.02422843687236309,
-0.05125855654478073,
0.30666786432266235,
0.6624007821083069,
0.3770544230937958,
0.08588395267724991,
-0.02636568434536457,
-0.05195987597107887,
-0.12508544325828552,
-0.21065744757652283,
-0.0400322750210762,
-0.07790257781744003,
0.0588909350335598,
0.18291515111923218,
0.44176456332206726,
0.23638851940631866,
-0.13617070019245148,
-0.04841203615069389,
0.1532732993364334,
0.45341357588768005,
-0.19562582671642303,
0.25837647914886475,
-0.1609424650669098,
-0.4299411475658417,
0.24248960614204407,
-0.2555159032344818,
-0.06268616020679474,
-0.1816956251859665,
-0.2170829027891159,
0.14613687992095947,
0.10717090219259262,
-0.08416301012039185,
0.10070127993822098,
0.3315700590610504,
-0.10592741519212723,
-0.28663918375968933,
-0.2544068396091461,
-0.11374948173761368,
-0.1918024718761444,
0.027764219790697098,
0.325008362531662,
-0.08840218186378479,
0.4124760031700134,
0.3248806595802307,
0.08864615112543106,
-0.04613914713263512,
-0.3268381357192993,
-0.004597220569849014,
-0.03740989416837692,
0.12089087814092636,
0.12138725817203522,
0.3563718795776367,
0.008665414527058601,
-0.5445613265037537,
0.19488072395324707,
0.0784645527601242,
-0.24362556636333466,
0.2516605257987976,
-0.03253842145204544,
-0.3485884666442871,
-0.46765097975730896,
-0.02082686685025692,
-0.27371272444725037,
-0.3687703609466553,
0.23967112600803375,
0.2940939664840698,
0.20991680026054382,
0.5754038691520691,
0.017712565138936043,
0.1252834051847458,
0.32062774896621704,
0.12391535937786102,
0.06834254413843155,
-0.1860465258359909,
0.5255689024925232,
-0.24559198319911957,
-0.4252486824989319,
0.1025654748082161,
-0.1634906679391861,
0.5601881742477417,
-0.00971814151853323,
-0.350139856338501,
-0.1784343719482422,
0.059479452669620514,
0.2183055430650711,
-0.023406868800520897,
-0.06744986772537231,
0.2789645493030548,
-0.20497187972068787,
0.061262767761945724,
-0.08193539083003998,
-0.3369683623313904,
0.13447405397891998,
0.6249411106109619,
0.2558959424495697,
-0.04228245094418526,
0.4419952929019928,
0.03808320686221123,
0.7028173804283142,
0.10719956457614899,
-0.3385477364063263,
0.44943198561668396,
-0.03851423040032387,
0.18772763013839722,
-0.13236820697784424,
-0.3693922162055969,
0.0650610625743866,
0.22544586658477783,
-0.06130951642990112,
0.13972711563110352,
-0.022240621969103813,
-0.10212096571922302,
-0.4349321722984314,
0.2301696240901947,
-0.25660955905914307,
0.04861358925700188,
-0.005602943245321512,
0.10512040555477142,
0.055510494858026505,
-0.06783225387334824,
-0.21281220018863678,
-0.3788442313671112,
-0.4829713702201843,
-0.16287356615066528,
0.27499496936798096,
-0.23916321992874146,
0.17479705810546875,
-0.6903293132781982,
-0.09328904002904892,
-0.6602334976196289,
0.3001752197742462,
-0.13872285187244415,
0.331415057182312,
-0.2023535519838333,
0.20676757395267487,
0.11335979402065277,
-0.07665057480335236,
0.1280316859483719,
-0.46501660346984863,
-0.1679803729057312,
-0.07704360038042068,
0.27476802468299866,
-0.47235941886901855,
-0.04191236570477486,
-0.027605319395661354,
0.07491360604763031,
0.4365335702896118,
0.23509712517261505,
0.018999626860022545,
0.07955653220415115,
-0.17663241922855377,
-0.20305976271629333,
-0.15370045602321625,
-0.223358616232872,
-0.03689245134592056,
-0.6711584329605103,
-0.3523871600627899,
-0.447581946849823,
0.06721371412277222,
0.14565296471118927,
0.14058217406272888,
-0.03764292970299721,
0.18601667881011963,
0.11092162877321243,
0.5076418519020081,
0.04284243285655975,
-0.046259768307209015,
0.6295244097709656,
-0.09305144846439362,
-0.45713555812835693,
0.4725039005279541,
-0.009942492470145226,
0.3894802927970886,
0.03559461981058121,
-0.19427144527435303,
-0.16963039338588715,
-0.28503361344337463,
0.4578326642513275,
0.17230446636676788,
0.08548000454902649,
0.21727702021598816,
-0.10695070773363113,
0.028125548735260963,
-0.15494082868099213,
0.4699552059173584,
0.338965505361557,
-0.09147369861602783,
-0.4181351065635681,
-0.1839522123336792,
0.4495735466480255,
-0.17907272279262543,
-0.03373914211988449,
0.24281229078769684,
-0.1924961805343628,
-0.2763458490371704,
0.20061789453029633,
0.11939840018749237,
1.091148853302002,
-0.07678544521331787,
0.37884521484375,
0.12213286012411118,
-0.048747748136520386,
0.7742520570755005,
-0.14554975926876068,
0.045703303068876266,
-0.23358765244483948,
0.10043346136808395,
-0.1133074089884758,
-0.05880850553512573,
-0.06760561466217041,
0.1411718726158142,
-0.23739932477474213,
0.08419696241617203,
-0.04000595584511757,
-0.11120809614658356,
0.007258252240717411,
0.5523269176483154,
0.07270980626344681,
-0.3941994607448578,
-0.22026029229164124,
0.08384991437196732,
-0.311298668384552,
0.30937930941581726,
-0.16995708644390106,
-0.21965540945529938,
-0.2857399582862854,
-0.18248222768306732,
-0.2072548121213913,
0.2760235667228699,
-0.2514284551143646,
0.09939209371805191,
0.048872899264097214,
-0.35540124773979187,
0.319200724363327,
0.4633529484272003,
0.5242566466331482,
-0.07650511711835861,
-0.0971658006310463,
0.04989144206047058,
-0.1302102655172348,
-0.014175839722156525,
-0.038776934146881104,
0.03059144876897335,
0.1902915984392166,
-0.2695980370044708,
0.042753905057907104,
0.2530287802219391,
-0.02573995664715767,
-0.31226563453674316,
-0.1774221509695053,
0.14603418111801147,
0.04673401266336441,
-0.16329127550125122,
-0.35304486751556396,
0.08665362745523453,
-0.1731005758047104,
-0.04445960745215416,
0.02780868299305439,
0.02873481996357441,
0.07372667640447617,
-0.0680365115404129,
0.0925288125872612,
-0.2007799744606018,
0.08086918294429779,
0.10644624382257462,
-0.1156516820192337,
-0.05884043127298355,
0.7411607503890991,
-0.060061264783144,
0.07929163426160812,
-0.08564355224370956,
-0.19852153956890106,
-0.3181912302970886,
-0.14075738191604614,
-0.08977241814136505,
0.2795090973377228,
-0.030942857265472412,
0.08318237960338593,
0.6403136849403381,
0.3384791314601898,
0.10922069847583771,
0.16181719303131104,
-0.1482795625925064,
-0.3228498697280884,
-0.3060603737831116,
-0.0438087098300457,
0.19313786923885345,
-0.10730323195457458,
0.19159731268882751,
0.20194768905639648,
0.2981015145778656,
-0.22825753688812256,
-0.1637885868549347,
-0.20056729018688202,
0.1670423448085785,
0.7540923953056335,
-0.011614820919930935,
-0.06655453145503998,
-0.036773957312107086,
-0.018900178372859955,
0.0023946736473590136,
-0.1610790640115738,
-0.11697687953710556,
-0.38146358728408813,
0.17557691037654877,
0.48093992471694946,
-0.18953624367713928,
-0.04248155280947685,
-0.24042090773582458,
-0.09950759261846542,
-0.14178162813186646,
-0.2967747747898102,
0.06756307929754257,
-0.03371114283800125,
0.2408895194530487,
-0.26431041955947876,
0.3360063433647156,
-0.0966443344950676,
0.21474190056324005,
0.00656738830730319,
0.17916543781757355,
0.08747607469558716,
-0.022730806842446327,
0.19590188562870026,
0.07748442143201828,
-0.3794806897640228,
-0.03813604637980461,
-0.20470403134822845,
-0.0682208240032196,
0.028971701860427856,
-0.4525890648365021,
0.13075216114521027,
-0.11226857453584671,
0.04397634044289589,
0.035785119980573654,
-0.4939005672931671,
0.1632532924413681,
0.3917880654335022,
0.10325788706541061,
0.01492580771446228,
0.11850079894065857,
0.16980482637882233,
0.2038433849811554,
0.02007768675684929,
0.24454757571220398,
0.034877970814704895,
-0.29139766097068787,
-0.05173511430621147,
-0.20435799658298492,
-0.05848478153347969,
-0.26753944158554077,
0.12125523388385773,
-0.09284653514623642,
-0.37827280163764954,
-0.04326402395963669,
0.1533942073583603,
0.1886671930551529,
-0.1023826003074646,
0.19348900020122528,
-0.2057679444551468,
0.12228456884622574,
0.032752249389886856,
-0.07289709150791168,
0.21817117929458618,
-0.2738109529018402,
0.11131202429533005,
-0.06723932176828384,
-0.023773400112986565,
0.3217809796333313,
0.14993290603160858,
0.6510178446769714,
-0.3514946699142456,
-0.005461555905640125,
-0.2674216032028198,
0.11025845259428024,
0.009168733842670918,
0.1439596563577652,
-0.629501223564148,
-0.025503946468234062,
0.05435958132147789,
-0.08338459581136703,
0.013343201950192451,
-0.33831581473350525,
-0.036366209387779236,
0.2841474413871765,
-0.1411563754081726,
0.05001046881079674,
-0.10629621893167496,
0.21016445755958557,
0.12682916224002838,
-0.1563309282064438,
0.41823020577430725,
0.017136648297309875,
-0.10469215363264084,
-0.048103608191013336,
0.07154374569654465,
0.5066622495651245,
0.58162522315979,
0.13121743500232697,
0.2830178141593933,
0.1813770830631256,
0.033742789179086685,
0.060610584914684296,
0.19215276837348938,
0.4136764407157898,
0.2930334210395813,
0.1462852656841278,
0.029231643304228783,
-0.11405064165592194,
0.07913730293512344,
0.049899984151124954,
0.05707652121782303,
-0.3188946545124054,
0.2812894284725189,
-0.031187105923891068,
-0.33619245886802673,
-0.16785822808742523,
0.39295390248298645,
-0.4424993395805359,
0.011144219897687435,
0.2605811357498169,
0.22482042014598846,
0.3537735641002655,
-0.2567594647407532,
0.024390410631895065,
-0.1696019470691681,
0.41601407527923584,
0.48843154311180115,
-0.07816869020462036,
-0.14322051405906677,
-0.2934463620185852,
-0.5263960361480713,
0.16107000410556793,
-0.2162851244211197,
-0.23151785135269165,
-0.356878399848938,
0.1811113804578781,
0.05726088583469391,
-0.09626909345388412,
0.058155301958322525,
0.1449396014213562,
-0.2326546013355255,
-0.004405546002089977,
-0.44343632459640503,
0.014719798229634762,
-0.153797909617424,
-0.014265604317188263,
-0.03849327191710472,
-0.16828298568725586,
0.029524296522140503,
0.09202343970537186,
0.018767889589071274,
-0.006674217060208321,
0.22007009387016296,
0.13326187431812286,
0.34432676434516907,
0.4730622470378876,
-0.0944240465760231,
0.7783322334289551,
0.09284882247447968,
0.004617420490831137,
-0.006964905187487602,
-0.06584292650222778,
-0.16452087461948395,
0.0251687653362751,
0.136099174618721,
0.4669880270957947,
-0.08531728386878967,
0.37317201495170593,
-0.22988460958003998,
0.03581169620156288,
-0.031407590955495834,
-0.5221917033195496,
0.07673176378011703,
0.009969313628971577,
-0.0682159811258316,
0.24942493438720703,
0.4241003096103668,
0.13799166679382324,
0.09841875731945038,
-0.10654082149267197,
-0.4279007911682129,
-0.3111039102077484,
0.4142976701259613,
-0.5499932169914246,
-0.33335086703300476,
0.19432902336120605,
0.22382153570652008,
-0.05248129740357399,
0.022692807018756866,
-0.2831411063671112,
-0.07024049013853073,
0.15611468255519867,
-0.23596225678920746,
-0.019298389554023743,
0.3056486248970032,
-0.4318903386592865,
0.07046443969011307,
-0.05291147157549858,
0.31289124488830566,
0.19471456110477448,
-0.380187451839447,
-0.0402463898062706,
-0.1632498949766159
] |
https://github.com/huggingface/datasets/issues/181 | Cannot upload my own dataset | We haven't tested the dataset upload feature yet cc @julien-c
This is on our short/mid-term roadmap though | I look into `nlp-cli` and `user.py` to learn how to upload my own data.
It is supposed to work like this
- Register to get username, password at huggingface.co
- `nlp-cli login` and type username, passworld
- I have a single file to upload at `./ttc/ttc_freq_extra.csv`
- `nlp-cli upload ttc/ttc_freq_extra.csv`
But I got this error.
```
2020-05-21 16:33:52.722464: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
About to upload file /content/ttc/ttc_freq_extra.csv to S3 under filename ttc/ttc_freq_extra.csv and namespace korakot
Proceed? [Y/n] y
Uploading... This might take a while if files are large
Traceback (most recent call last):
File "/usr/local/bin/nlp-cli", line 33, in <module>
service.run()
File "/usr/local/lib/python3.6/dist-packages/nlp/commands/user.py", line 234, in run
token=token, filename=filename, filepath=filepath, organization=self.args.organization
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 141, in presign_and_upload
urls = self.presign(token, filename=filename, organization=organization)
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 132, in presign
return PresignedUrl(**d)
TypeError: __init__() got an unexpected keyword argument 'cdn'
``` | 17 | Cannot upload my own dataset
I look into `nlp-cli` and `user.py` to learn how to upload my own data.
It is supposed to work like this
- Register to get username, password at huggingface.co
- `nlp-cli login` and type username, passworld
- I have a single file to upload at `./ttc/ttc_freq_extra.csv`
- `nlp-cli upload ttc/ttc_freq_extra.csv`
But I got this error.
```
2020-05-21 16:33:52.722464: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
About to upload file /content/ttc/ttc_freq_extra.csv to S3 under filename ttc/ttc_freq_extra.csv and namespace korakot
Proceed? [Y/n] y
Uploading... This might take a while if files are large
Traceback (most recent call last):
File "/usr/local/bin/nlp-cli", line 33, in <module>
service.run()
File "/usr/local/lib/python3.6/dist-packages/nlp/commands/user.py", line 234, in run
token=token, filename=filename, filepath=filepath, organization=self.args.organization
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 141, in presign_and_upload
urls = self.presign(token, filename=filename, organization=organization)
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 132, in presign
return PresignedUrl(**d)
TypeError: __init__() got an unexpected keyword argument 'cdn'
```
We haven't tested the dataset upload feature yet cc @julien-c
This is on our short/mid-term roadmap though | [
0.010165617801249027,
-0.014697292819619179,
0.06399780511856079,
-0.047251515090465546,
0.1368081271648407,
-0.1440623700618744,
0.3703482449054718,
-0.035264384001493454,
-0.17155195772647858,
0.153878852725029,
-0.10310687124729156,
0.2589794099330902,
-0.2308884561061859,
0.3168731927871704,
0.3755457103252411,
0.09489191323518753,
0.01937192678451538,
0.27177372574806213,
-0.02011636272072792,
-0.09850392490625381,
-0.22678814828395844,
0.0701330304145813,
-0.0022227352019399405,
-0.09574955701828003,
-0.14261679351329803,
-0.21162675321102142,
-0.09032746404409409,
0.2581227719783783,
-0.2345554530620575,
-0.34122931957244873,
0.4868590235710144,
0.23599037528038025,
0.34359171986579895,
0.5804949402809143,
-0.00011795771570177749,
-0.051996491849422455,
0.17183135449886322,
-0.2157052457332611,
-0.6393764615058899,
-0.3554876446723938,
-0.006130785681307316,
-0.1342170536518097,
0.06067825108766556,
-0.2517399489879608,
0.192875474691391,
0.027462592348456383,
0.03491760417819023,
0.03088012896478176,
0.4822885990142822,
0.4076225459575653,
0.14891530573368073,
0.14572227001190186,
-0.17812171578407288,
-0.15002445876598358,
-0.002832615515217185,
0.1824352741241455,
-0.0589720755815506,
0.2539564371109009,
0.358696848154068,
-0.4081486463546753,
0.26444190740585327,
-0.1995869129896164,
0.03678077459335327,
-0.04424063861370087,
0.48748576641082764,
-0.009249813854694366,
-0.07491940259933472,
-0.4059666395187378,
-0.00484011135995388,
0.1771373748779297,
0.3769996762275696,
-0.060027215629816055,
-0.3945053815841675,
-0.1456923931837082,
0.15505386888980865,
-0.4790180027484894,
0.25372326374053955,
0.2788682281970978,
-0.4247060716152191,
-0.02253003790974617,
-0.27115753293037415,
0.31374505162239075,
-0.40935495495796204,
0.42216619849205017,
0.1056477501988411,
0.3526955842971802,
-0.03370974585413933,
0.0666818767786026,
0.24374695122241974,
-0.15369358658790588,
0.011768266558647156,
0.06547364592552185,
0.0214677844196558,
0.2782629132270813,
-0.21666398644447327,
-0.19502879679203033,
0.002794372383505106,
-0.240585058927536,
-0.058181293308734894,
0.12915611267089844,
0.40473249554634094,
-0.12968337535858154,
-0.24420137703418732,
0.1506330817937851,
0.13368745148181915,
0.3241250813007355,
0.0014827169943600893,
0.12236382067203522,
0.12233413755893707,
-0.005846336483955383,
0.2769157886505127,
-0.05174222216010094,
-0.27427026629447937,
-0.05080210790038109,
-0.11301085352897644,
-0.06884713470935822,
0.29202789068222046,
0.06772579252719879,
-0.005541233345866203,
-0.12934695184230804,
0.09735915809869766,
0.016586456447839737,
-0.10256084054708481,
0.343923419713974,
-0.0819454938173294,
-0.2613027095794678,
-0.053804900497198105,
0.23263388872146606,
0.13708680868148804,
-0.2900107800960541,
0.05705784633755684,
0.2758283317089081,
-0.11549311131238937,
-0.15443263947963715,
0.4356735646724701,
0.012412016279995441,
0.19565072655677795,
-0.05445248633623123,
0.20219503343105316,
-0.06607900559902191,
0.07224190980195999,
0.01198643073439598,
-0.16287995874881744,
0.008681237697601318,
0.2195928543806076,
0.3847881257534027,
-0.06849830597639084,
-0.5333331823348999,
-0.14358186721801758,
0.026160849258303642,
-0.35323697328567505,
-0.34732839465141296,
-0.4594143033027649,
0.08847449719905853,
0.0037647350691258907,
-0.28174886107444763,
-0.3244447410106659,
-0.07150458544492722,
0.0896536260843277,
-0.2517109811306,
-0.09521620720624924,
-0.046300485730171204,
-0.1421903371810913,
-0.12248452007770538,
0.12956172227859497,
0.08803895860910416,
-0.5273436307907104,
0.18487119674682617,
-0.08601419627666473,
0.4892788827419281,
0.27127528190612793,
0.2785511612892151,
-0.30868059396743774,
0.2438846379518509,
-0.08011314272880554,
0.18975171446800232,
0.5997761487960815,
-0.4807259142398834,
-0.33468496799468994,
0.04278616979718208,
-0.037316642701625824,
-0.09002692997455597,
0.03727806732058525,
0.19343505799770355,
0.10801960527896881,
-0.09636015444993973,
0.09529583156108856,
0.44792360067367554,
0.04567834734916687,
0.01669199950993061,
-0.21615584194660187,
-0.16694800555706024,
0.2624110281467438,
0.040793050080537796,
-0.15550212562084198,
0.07853072881698608,
0.2734289765357971,
0.08999720960855484,
0.02415444701910019,
-0.3324550688266754,
0.15371623635292053,
0.19960275292396545,
0.3573826849460602,
-0.17576833069324493,
-0.1370927095413208,
0.2060299813747406,
-0.4696052670478821,
0.21702052652835846,
0.1805570423603058,
0.349084734916687,
-0.12102710455656052,
-0.018303686752915382,
-0.44371429085731506,
-0.1005718857049942,
-0.1240299791097641,
-0.058668650686740875,
0.049087874591350555,
0.11639916896820068,
0.054980237036943436,
-0.17006120085716248,
-0.2535099983215332,
0.18731704354286194,
-0.2769084870815277,
0.061253029853105545,
-0.21974225342273712,
0.045059237629175186,
-0.2696872055530548,
-0.12417402118444443,
0.2587276101112366,
0.18245325982570648,
0.16576650738716125,
0.00609542103484273,
-0.18364877998828888,
0.10668767243623734,
-0.4784855544567108,
0.26239827275276184,
0.03369062393903732,
0.1265537589788437,
0.04126192256808281,
-0.06761738657951355,
-0.18328310549259186,
-0.14366260170936584,
0.17080532014369965,
-0.1465516984462738,
-0.40138399600982666,
0.14321798086166382,
-0.027937497943639755,
0.004521084018051624,
0.16433103382587433,
0.0004223847354296595,
0.279594749212265,
-0.17933104932308197,
0.11594358831644058,
0.10681777447462082,
0.3852049708366394,
0.06651005893945694,
0.40208306908607483,
-0.041343703866004944,
-0.12613648176193237,
-0.03237977623939514,
0.21093051135540009,
0.019254527986049652,
0.18925891816616058,
0.0736541897058487,
0.01379319652915001,
-0.08014342188835144,
0.2915305197238922,
0.6511790752410889,
0.3804543614387512,
0.1110786572098732,
-0.0320216603577137,
-0.056274279952049255,
-0.10829749703407288,
-0.18812252581119537,
-0.06301793456077576,
-0.11955726891756058,
0.07156752794981003,
0.18021786212921143,
0.4236961901187897,
0.2545206546783447,
-0.13882191479206085,
-0.03602733835577965,
0.12983305752277374,
0.45807692408561707,
-0.19086578488349915,
0.23381736874580383,
-0.13966161012649536,
-0.43804123997688293,
0.2469320297241211,
-0.22983048856258392,
-0.09044582396745682,
-0.1691736876964569,
-0.20334842801094055,
0.13439300656318665,
0.1450602114200592,
-0.0874415934085846,
0.11892256140708923,
0.3378387987613678,
-0.08473848551511765,
-0.2890056371688843,
-0.260663777589798,
-0.09300468862056732,
-0.20018258690834045,
0.053276196122169495,
0.32226434350013733,
-0.10707732290029526,
0.4432593286037445,
0.33645904064178467,
0.08638137578964233,
-0.054917193949222565,
-0.3232796788215637,
0.00857230182737112,
-0.06074177473783493,
0.12722721695899963,
0.10323645919561386,
0.3434315621852875,
-0.0030984249897301197,
-0.5138465166091919,
0.1799698770046234,
0.06420642137527466,
-0.2702476382255554,
0.22155016660690308,
-0.02242877148091793,
-0.3159380555152893,
-0.44382166862487793,
-0.05534730851650238,
-0.29095259308815,
-0.3391730487346649,
0.25748729705810547,
0.32961562275886536,
0.1998351514339447,
0.5830571055412292,
0.02713247761130333,
0.13877184689044952,
0.32144874334335327,
0.1015031635761261,
0.04909173771739006,
-0.20185203850269318,
0.5142776370048523,
-0.25085246562957764,
-0.46681058406829834,
0.1272696554660797,
-0.13542209565639496,
0.5388170480728149,
-0.02618454582989216,
-0.35499605536460876,
-0.20387764275074005,
0.06519963592290878,
0.2458018958568573,
-0.03664572909474373,
-0.05192951112985611,
0.2837885916233063,
-0.19145295023918152,
0.044388484209775925,
-0.07229132950305939,
-0.33189165592193604,
0.14527878165245056,
0.6041275262832642,
0.2712104618549347,
-0.05854354053735733,
0.4339742362499237,
0.04342501610517502,
0.7070648074150085,
0.13270670175552368,
-0.3311067223548889,
0.44850072264671326,
-0.0690917819738388,
0.20655743777751923,
-0.14012017846107483,
-0.3747256100177765,
0.13324427604675293,
0.23546594381332397,
-0.03365195915102959,
0.11279822885990143,
-0.030974699184298515,
-0.0822751373052597,
-0.4156801998615265,
0.22088822722434998,
-0.2339075803756714,
0.04839329421520233,
-0.016791323199868202,
0.1189957857131958,
0.04606042057275772,
-0.0811108723282814,
-0.22336693108081818,
-0.3637567460536957,
-0.5096309781074524,
-0.12451834976673126,
0.24588757753372192,
-0.24647212028503418,
0.2104227989912033,
-0.6700916290283203,
-0.05532244220376015,
-0.6859098672866821,
0.28730276226997375,
-0.149904265999794,
0.30860117077827454,
-0.21619366109371185,
0.19936619699001312,
0.09411243349313736,
-0.0823153629899025,
0.15053750574588776,
-0.47544965147972107,
-0.15888775885105133,
-0.08539845794439316,
0.28484705090522766,
-0.47482773661613464,
-0.026424318552017212,
-0.051321182399988174,
0.07265124469995499,
0.4124589264392853,
0.19209937751293182,
0.039509367197752,
0.07596687972545624,
-0.14139555394649506,
-0.216168612241745,
-0.17694418132305145,
-0.2280469387769699,
-0.04576987400650978,
-0.6439386010169983,
-0.3358868956565857,
-0.463667631149292,
0.056371066719293594,
0.1376699060201645,
0.1639884114265442,
-0.06866511702537537,
0.1555037945508957,
0.09471635520458221,
0.505619466304779,
0.04792429879307747,
-0.06624256074428558,
0.6384864449501038,
-0.09328262507915497,
-0.42609357833862305,
0.4850154221057892,
0.0034878000151365995,
0.38921934366226196,
0.02805510349571705,
-0.14984716475009918,
-0.15592491626739502,
-0.2998330593109131,
0.4713129997253418,
0.13734710216522217,
0.08705965429544449,
0.1848033219575882,
-0.09927714616060257,
0.02812325209379196,
-0.1918717920780182,
0.5012039542198181,
0.3349217474460602,
-0.08053188025951385,
-0.42228931188583374,
-0.18815988302230835,
0.43667906522750854,
-0.16746826469898224,
-0.0022929843980818987,
0.24263441562652588,
-0.18027789890766144,
-0.26839762926101685,
0.17485596239566803,
0.14205549657344818,
1.0450090169906616,
-0.09819278866052628,
0.3577187657356262,
0.11459795385599136,
-0.030823074281215668,
0.7806400656700134,
-0.18001143634319305,
0.04540587589144707,
-0.2553684115409851,
0.09903968870639801,
-0.11995553970336914,
-0.04338899999856949,
-0.0456891693174839,
0.13680218160152435,
-0.25287240743637085,
0.0857430100440979,
-0.029485180974006653,
-0.14704464375972748,
0.005726405885070562,
0.5664036273956299,
0.06178729981184006,
-0.39426031708717346,
-0.20463387668132782,
0.10850342363119125,
-0.317049115896225,
0.29799193143844604,
-0.16285033524036407,
-0.2076191008090973,
-0.28265753388404846,
-0.15511329472064972,
-0.2209421545267105,
0.30353108048439026,
-0.2398693561553955,
0.07949474453926086,
0.05891745164990425,
-0.3198932409286499,
0.33261775970458984,
0.4678554832935333,
0.5250082612037659,
-0.08236995339393616,
-0.10083205252885818,
0.037575650960206985,
-0.16709356009960175,
-0.02705296128988266,
0.009090117178857327,
0.050292328000068665,
0.22911953926086426,
-0.29069823026657104,
0.030212432146072388,
0.2814529240131378,
-0.0009340145043097436,
-0.30204159021377563,
-0.1756664514541626,
0.13425423204898834,
0.0712273120880127,
-0.16748608648777008,
-0.3050799071788788,
0.10473206639289856,
-0.13321667909622192,
-0.03923343867063522,
0.040146246552467346,
0.047616973519325256,
0.06888943165540695,
-0.028613876551389694,
0.07775545865297318,
-0.18398161232471466,
0.05718260258436203,
0.11787600070238113,
-0.11957719922065735,
-0.07269201427698135,
0.7520655989646912,
-0.05399371311068535,
0.09325054287910461,
-0.10994242876768112,
-0.18213345110416412,
-0.2736780345439911,
-0.13815349340438843,
-0.09949097782373428,
0.27688896656036377,
-0.02094828337430954,
0.09042204916477203,
0.6383233070373535,
0.32130298018455505,
0.09763450920581818,
0.13834577798843384,
-0.14989447593688965,
-0.35234442353248596,
-0.3358486294746399,
-0.0205377284437418,
0.18586939573287964,
-0.1201789453625679,
0.14587873220443726,
0.21818073093891144,
0.31043463945388794,
-0.2514615058898926,
-0.19500397145748138,
-0.1998571902513504,
0.1583554893732071,
0.7369638681411743,
-0.01766371913254261,
-0.012900647707283497,
-0.06114610657095909,
0.006987984292209148,
-0.030109228566288948,
-0.17383715510368347,
-0.13647127151489258,
-0.3693220019340515,
0.1645641177892685,
0.4616594910621643,
-0.1914130300283432,
-0.056229885667562485,
-0.21856892108917236,
-0.12847866117954254,
-0.13379068672657013,
-0.269339919090271,
0.06040286272764206,
-0.057563118636608124,
0.24150052666664124,
-0.22885163128376007,
0.3202771246433258,
-0.08824973553419113,
0.17375928163528442,
0.03331238403916359,
0.16574044525623322,
0.07580552995204926,
-0.019645702093839645,
0.19066917896270752,
0.07480891048908234,
-0.33523082733154297,
-0.026200080290436745,
-0.17743359506130219,
-0.07269701361656189,
0.017779523506760597,
-0.4788331985473633,
0.10806454718112946,
-0.13837306201457977,
0.05096149072051048,
0.022260962054133415,
-0.49828463792800903,
0.13783903419971466,
0.3878340721130371,
0.11959458887577057,
-0.002074212534353137,
0.11067019402980804,
0.20888115465641022,
0.20254860818386078,
0.013453075662255287,
0.23718994855880737,
0.021878035739064217,
-0.24977128207683563,
-0.07446973025798798,
-0.19819703698158264,
-0.0792117491364479,
-0.28159669041633606,
0.0992148295044899,
-0.1124681904911995,
-0.3867097496986389,
-0.04920406639575958,
0.16625823080539703,
0.19723796844482422,
-0.09329351782798767,
0.21389225125312805,
-0.2051725685596466,
0.11387532204389572,
0.032077446579933167,
-0.061955299228429794,
0.22813265025615692,
-0.2797224521636963,
0.13537012040615082,
-0.09851952642202377,
0.005144830793142319,
0.3340873718261719,
0.14589481055736542,
0.6321764588356018,
-0.3162313997745514,
-0.01611190475523472,
-0.24867331981658936,
0.07460804283618927,
0.017596669495105743,
0.167875736951828,
-0.6061635613441467,
-0.02913355641067028,
0.05296030268073082,
-0.08525756001472473,
0.010776528157293797,
-0.3678249418735504,
-0.04822467267513275,
0.275940477848053,
-0.15788526833057404,
0.05883338302373886,
-0.0975588858127594,
0.1953687071800232,
0.13777555525302887,
-0.12739373743534088,
0.4026271104812622,
-0.008653298020362854,
-0.09197316318750381,
-0.05486815422773361,
0.11255784332752228,
0.46995019912719727,
0.5798242688179016,
0.14910899102687836,
0.31919750571250916,
0.20295313000679016,
0.033974163234233856,
0.06528519839048386,
0.18311437964439392,
0.3685241639614105,
0.2624928653240204,
0.13088937103748322,
0.0407571941614151,
-0.10797873139381409,
0.05925644189119339,
0.027629371732473373,
0.07058043032884598,
-0.3081683814525604,
0.28486961126327515,
-0.019958244636654854,
-0.32388433814048767,
-0.1779017299413681,
0.397659033536911,
-0.42802757024765015,
0.008005810901522636,
0.30593663454055786,
0.21202580630779266,
0.3255811333656311,
-0.2719443142414093,
0.03361441567540169,
-0.18920107185840607,
0.45011427998542786,
0.4820174276828766,
-0.09710134565830231,
-0.10160031169652939,
-0.2517859637737274,
-0.5138532519340515,
0.15989546477794647,
-0.19470754265785217,
-0.26225316524505615,
-0.3417939841747284,
0.18984560668468475,
0.03611770644783974,
-0.08899537473917007,
0.10701450705528259,
0.1390070617198944,
-0.21020257472991943,
-0.02003595046699047,
-0.4624020457267761,
0.013603978790342808,
-0.1590491384267807,
0.00987574178725481,
-0.02020551636815071,
-0.1756240874528885,
0.043980322778224945,
0.06408078223466873,
0.015800785273313522,
-0.0002465331635903567,
0.1899520456790924,
0.1183924525976181,
0.3266213536262512,
0.4968600571155548,
-0.10089084506034851,
0.758901834487915,
0.1091519296169281,
-0.008117723278701305,
-0.012254760600626469,
-0.060708776116371155,
-0.21167826652526855,
0.07008469849824905,
0.12792463600635529,
0.4384544789791107,
-0.08241152763366699,
0.3603608012199402,
-0.22094275057315826,
0.07509882003068924,
-0.03312685340642929,
-0.5146053433418274,
0.08451039344072342,
0.022847414016723633,
-0.04442775994539261,
0.276464581489563,
0.41493019461631775,
0.09248579293489456,
0.09413088113069534,
-0.09509778022766113,
-0.4262842833995819,
-0.27461379766464233,
0.3977464437484741,
-0.5510284900665283,
-0.29202544689178467,
0.1532052904367447,
0.2142147719860077,
-0.032668303698301315,
-0.00940574798732996,
-0.3166787326335907,
-0.06710311025381088,
0.17874476313591003,
-0.22816728055477142,
-0.011713657528162003,
0.2962079644203186,
-0.4524933099746704,
0.09072312712669373,
-0.046880193054676056,
0.33023375272750854,
0.17732542753219604,
-0.37144556641578674,
-0.016200171783566475,
-0.14145898818969727
] |
https://github.com/huggingface/datasets/issues/181 | Cannot upload my own dataset | Even if I fix the `TypeError: __init__() got an unexpected keyword argument 'cdn'` error, it looks like it still uploads to `https://s3.amazonaws.com/models.huggingface.co/bert/<namespace>/<dataset_name>` instead of `https://s3.amazonaws.com/datasets.huggingface.co/nlp/<namespace>/<dataset_name>` | I look into `nlp-cli` and `user.py` to learn how to upload my own data.
It is supposed to work like this
- Register to get username, password at huggingface.co
- `nlp-cli login` and type username, passworld
- I have a single file to upload at `./ttc/ttc_freq_extra.csv`
- `nlp-cli upload ttc/ttc_freq_extra.csv`
But I got this error.
```
2020-05-21 16:33:52.722464: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
About to upload file /content/ttc/ttc_freq_extra.csv to S3 under filename ttc/ttc_freq_extra.csv and namespace korakot
Proceed? [Y/n] y
Uploading... This might take a while if files are large
Traceback (most recent call last):
File "/usr/local/bin/nlp-cli", line 33, in <module>
service.run()
File "/usr/local/lib/python3.6/dist-packages/nlp/commands/user.py", line 234, in run
token=token, filename=filename, filepath=filepath, organization=self.args.organization
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 141, in presign_and_upload
urls = self.presign(token, filename=filename, organization=organization)
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 132, in presign
return PresignedUrl(**d)
TypeError: __init__() got an unexpected keyword argument 'cdn'
``` | 25 | Cannot upload my own dataset
I look into `nlp-cli` and `user.py` to learn how to upload my own data.
It is supposed to work like this
- Register to get username, password at huggingface.co
- `nlp-cli login` and type username, passworld
- I have a single file to upload at `./ttc/ttc_freq_extra.csv`
- `nlp-cli upload ttc/ttc_freq_extra.csv`
But I got this error.
```
2020-05-21 16:33:52.722464: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
About to upload file /content/ttc/ttc_freq_extra.csv to S3 under filename ttc/ttc_freq_extra.csv and namespace korakot
Proceed? [Y/n] y
Uploading... This might take a while if files are large
Traceback (most recent call last):
File "/usr/local/bin/nlp-cli", line 33, in <module>
service.run()
File "/usr/local/lib/python3.6/dist-packages/nlp/commands/user.py", line 234, in run
token=token, filename=filename, filepath=filepath, organization=self.args.organization
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 141, in presign_and_upload
urls = self.presign(token, filename=filename, organization=organization)
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 132, in presign
return PresignedUrl(**d)
TypeError: __init__() got an unexpected keyword argument 'cdn'
```
Even if I fix the `TypeError: __init__() got an unexpected keyword argument 'cdn'` error, it looks like it still uploads to `https://s3.amazonaws.com/models.huggingface.co/bert/<namespace>/<dataset_name>` instead of `https://s3.amazonaws.com/datasets.huggingface.co/nlp/<namespace>/<dataset_name>` | [
0.07664904743432999,
-0.05189044028520584,
0.05664351209998131,
-0.013381031341850758,
0.1621726006269455,
-0.18692173063755035,
0.315628319978714,
-0.02782159112393856,
-0.19460242986679077,
0.19591812789440155,
-0.1271059662103653,
0.23585735261440277,
-0.2207300215959549,
0.29263460636138916,
0.3533962070941925,
0.07266585528850555,
0.00557507062330842,
0.29510387778282166,
0.00900519173592329,
-0.09385800361633301,
-0.21986141800880432,
0.09480854868888855,
0.019349943846464157,
-0.0798717588186264,
-0.1348169595003128,
-0.1881406456232071,
-0.07919929176568985,
0.27564141154289246,
-0.19723379611968994,
-0.3347654342651367,
0.44861459732055664,
0.22274284064769745,
0.33252379298210144,
0.600294291973114,
-0.00011811571312136948,
-0.05863684415817261,
0.16570204496383667,
-0.2280743420124054,
-0.6185942888259888,
-0.37377214431762695,
0.07301397621631622,
-0.14274370670318604,
0.09190243482589722,
-0.2383841872215271,
0.18933629989624023,
0.03741718456149101,
0.01646963506937027,
0.06538469344377518,
0.5281577110290527,
0.3778299391269684,
0.14735272526741028,
0.10313688218593597,
-0.17057624459266663,
-0.09499446302652359,
0.027343420311808586,
0.18931706249713898,
-0.056042879819869995,
0.29447799921035767,
0.33864378929138184,
-0.3992355167865753,
0.29277944564819336,
-0.19877924025058746,
-0.0034405335318297148,
-0.0603887140750885,
0.4824242889881134,
-0.02794663794338703,
0.007829021662473679,
-0.4104377329349518,
-0.029902294278144836,
0.17739343643188477,
0.3018234074115753,
-0.030178504064679146,
-0.359176367521286,
-0.11388027667999268,
0.16878528892993927,
-0.48414039611816406,
0.2560546398162842,
0.2725909352302551,
-0.4102139472961426,
-0.038525864481925964,
-0.25709471106529236,
0.3279774487018585,
-0.41808053851127625,
0.4426950514316559,
0.11960510164499283,
0.33937373757362366,
-0.022680621594190598,
0.07667797803878784,
0.2550290822982788,
-0.12778852880001068,
0.007881402038037777,
0.09094329178333282,
0.021747838705778122,
0.2719115614891052,
-0.19632501900196075,
-0.18465940654277802,
-0.02068881131708622,
-0.2897575795650482,
-0.10948622971773148,
0.09983275085687637,
0.45074576139450073,
-0.13097938895225525,
-0.24737398326396942,
0.14947135746479034,
0.09313520044088364,
0.3291783928871155,
-0.007071911357343197,
0.09553560614585876,
0.12827549874782562,
0.02128220908343792,
0.2753557562828064,
-0.06610692292451859,
-0.28716927766799927,
-0.07212226837873459,
-0.1261586844921112,
-0.047326404601335526,
0.2747190594673157,
0.08483222872018814,
0.01176806353032589,
-0.09488458186388016,
0.0725315511226654,
0.06044616550207138,
-0.08017189055681229,
0.3419945538043976,
-0.11174194514751434,
-0.24170075356960297,
0.00597187876701355,
0.23593322932720184,
0.13921067118644714,
-0.26889821887016296,
0.07524184137582779,
0.3023250997066498,
-0.11196798086166382,
-0.1445469856262207,
0.404756635427475,
0.008400018326938152,
0.1989603191614151,
-0.046806685626506805,
0.18748801946640015,
-0.13644443452358246,
0.06247757747769356,
0.006644637323915958,
-0.17632445693016052,
0.03343520686030388,
0.22954972088336945,
0.38577982783317566,
-0.06581928580999374,
-0.5420820116996765,
-0.13114000856876373,
0.03096676617860794,
-0.37687358260154724,
-0.3573209047317505,
-0.4452533721923828,
0.0883500799536705,
0.04142153635621071,
-0.23677773773670197,
-0.3071364760398865,
-0.11866731196641922,
0.09791082888841629,
-0.2934204638004303,
-0.09514958411455154,
-0.046619437634944916,
-0.1209680363535881,
-0.13289502263069153,
0.11520441621541977,
0.04702841863036156,
-0.47550636529922485,
0.2196236252784729,
-0.08374650776386261,
0.5124330520629883,
0.32622963190078735,
0.2987669110298157,
-0.3122525215148926,
0.27115723490715027,
-0.06317272782325745,
0.17326481640338898,
0.5793394446372986,
-0.4712454676628113,
-0.2747650146484375,
0.02794957533478737,
-0.03406190499663353,
-0.10284217447042465,
0.05465628206729889,
0.17109665274620056,
0.08083738386631012,
-0.0993407741189003,
0.07489421218633652,
0.4404076933860779,
0.07226981222629547,
0.046246208250522614,
-0.23941272497177124,
-0.1674555391073227,
0.2583915591239929,
0.033971235156059265,
-0.16789831221103668,
0.07635156810283661,
0.24125425517559052,
0.0896945670247078,
0.023809174075722694,
-0.33165574073791504,
0.13372574746608734,
0.2027381956577301,
0.35548877716064453,
-0.15696808695793152,
-0.1437087059020996,
0.23550467193126678,
-0.40783795714378357,
0.18856647610664368,
0.12364498525857925,
0.352277934551239,
-0.10161994397640228,
-0.010192207992076874,
-0.41855642199516296,
-0.09694615006446838,
-0.09851150214672089,
-0.023751718923449516,
0.06040216237306595,
0.10851248353719711,
0.05050361901521683,
-0.18064585328102112,
-0.22650833427906036,
0.14043690264225006,
-0.3063787519931793,
0.05729077383875847,
-0.21424975991249084,
0.04307178407907486,
-0.28264319896698,
-0.11205241829156876,
0.2531871199607849,
0.17547647655010223,
0.19479499757289886,
-0.015050319023430347,
-0.19718362390995026,
0.09308925271034241,
-0.45916521549224854,
0.3227212429046631,
-0.0023456693161278963,
0.13259734213352203,
0.030503802001476288,
-0.02273780293762684,
-0.2367979884147644,
-0.0917934849858284,
0.17833475768566132,
-0.16936562955379486,
-0.3360210657119751,
0.13825179636478424,
-0.029992733150720596,
0.0167362280189991,
0.1587330549955368,
0.0029891717713326216,
0.2892494797706604,
-0.18945999443531036,
0.11126956343650818,
0.1314769685268402,
0.40158364176750183,
0.0971415713429451,
0.38154563307762146,
-0.045128896832466125,
-0.13328278064727783,
-0.08485881239175797,
0.18308334052562714,
0.023188957944512367,
0.16448433697223663,
0.07439377903938293,
0.020963724702596664,
-0.09218311309814453,
0.30198606848716736,
0.5998584032058716,
0.360566645860672,
0.07620102167129517,
-0.056455664336681366,
-0.06078986078500748,
-0.1149059534072876,
-0.22583232820034027,
-0.03621281310915947,
-0.08589198440313339,
0.064612478017807,
0.2199162244796753,
0.4395747184753418,
0.2659415602684021,
-0.13194307684898376,
-0.011397895403206348,
0.10586413741111755,
0.46060752868652344,
-0.19288837909698486,
0.24376621842384338,
-0.1272563338279724,
-0.4152645468711853,
0.24683143198490143,
-0.27434229850769043,
-0.08276362717151642,
-0.17546424269676208,
-0.19944074749946594,
0.1508495807647705,
0.09969239681959152,
-0.11422175914049149,
0.17351239919662476,
0.3297785520553589,
-0.10300759226083755,
-0.2672962546348572,
-0.28693389892578125,
-0.08144994080066681,
-0.20950110256671906,
0.04389668256044388,
0.33913367986679077,
-0.10610675811767578,
0.42552515864372253,
0.3308124840259552,
0.05794118717312813,
-0.03152487799525261,
-0.31745123863220215,
-0.012977869249880314,
-0.03839245066046715,
0.09033801406621933,
0.08890731632709503,
0.37470728158950806,
0.011475899256765842,
-0.5478413105010986,
0.19541127979755402,
0.054333969950675964,
-0.25022077560424805,
0.24789635837078094,
-0.031557098031044006,
-0.31541702151298523,
-0.47585976123809814,
0.0024254266172647476,
-0.2676188349723816,
-0.3631880283355713,
0.2492438405752182,
0.33015796542167664,
0.23138810694217682,
0.5911980271339417,
0.019704528152942657,
0.13168852031230927,
0.319717675447464,
0.15069156885147095,
0.045514702796936035,
-0.1869828999042511,
0.4966631829738617,
-0.23607194423675537,
-0.42654773592948914,
0.1076657772064209,
-0.1438557356595993,
0.5702791213989258,
-0.04440787434577942,
-0.3675759434700012,
-0.18725794553756714,
0.08487430214881897,
0.17660588026046753,
-0.07252097874879837,
-0.07167650759220123,
0.29713737964630127,
-0.1921672224998474,
0.0524088516831398,
-0.05853414535522461,
-0.2975662648677826,
0.1311016082763672,
0.6311604380607605,
0.2633402943611145,
-0.05882125347852707,
0.4399242699146271,
0.017980385571718216,
0.6985472440719604,
0.10503231734037399,
-0.3126606345176697,
0.44941067695617676,
-0.03828560188412666,
0.1811317354440689,
-0.14026778936386108,
-0.34749236702919006,
0.08872748911380768,
0.2385050505399704,
-0.042702194303274155,
0.14452439546585083,
-0.043684475123882294,
-0.07860308140516281,
-0.44182538986206055,
0.2470041960477829,
-0.2635873556137085,
0.05894435569643974,
0.00958127249032259,
0.10640180110931396,
0.03759400174021721,
-0.10671697556972504,
-0.24084407091140747,
-0.3441416919231415,
-0.5165199637413025,
-0.12177100032567978,
0.2631739377975464,
-0.24034810066223145,
0.18618792295455933,
-0.6647047996520996,
-0.122229665517807,
-0.6593778133392334,
0.3021117150783539,
-0.1535397171974182,
0.2957099378108978,
-0.2063988596200943,
0.18639634549617767,
0.12765613198280334,
-0.07750535756349564,
0.10924883931875229,
-0.4198971688747406,
-0.18771369755268097,
-0.09577611833810806,
0.2693742513656616,
-0.47796308994293213,
-0.055133722722530365,
-0.03794213756918907,
0.0814751535654068,
0.45575204491615295,
0.20855829119682312,
0.012650715187191963,
0.09506627917289734,
-0.16743093729019165,
-0.22884570062160492,
-0.17120318114757538,
-0.2424793392419815,
-0.04781600460410118,
-0.6381927728652954,
-0.34167659282684326,
-0.4831202030181885,
0.04853597655892372,
0.16847561299800873,
0.15164034068584442,
-0.07459653168916702,
0.18773427605628967,
0.09917864203453064,
0.4985150694847107,
0.02120433747768402,
-0.05744665488600731,
0.6246474385261536,
-0.11789736151695251,
-0.44503286480903625,
0.48908817768096924,
-0.03532331809401512,
0.3584005832672119,
0.06729526817798615,
-0.1445763260126114,
-0.17467577755451202,
-0.2812870442867279,
0.44760578870773315,
0.1808011829853058,
0.10797961056232452,
0.21889789402484894,
-0.11514239758253098,
0.04811498150229454,
-0.18779723346233368,
0.49670079350471497,
0.334112286567688,
-0.09505525976419449,
-0.3954769968986511,
-0.156389519572258,
0.45640987157821655,
-0.19788695871829987,
-0.0036151763051748276,
0.25355783104896545,
-0.22835582494735718,
-0.28129085898399353,
0.2037985771894455,
0.16435497999191284,
1.1384713649749756,
-0.09754567593336105,
0.37321898341178894,
0.12780317664146423,
-0.037440236657857895,
0.7614157199859619,
-0.18077360093593597,
0.052558910101652145,
-0.25659966468811035,
0.14564958214759827,
-0.10637703537940979,
-0.05241253599524498,
-0.08326452225446701,
0.08726075291633606,
-0.23800896108150482,
0.07538549602031708,
-0.06170401722192764,
-0.13530084490776062,
-0.0051054758951067924,
0.571159839630127,
0.10040008276700974,
-0.3970247209072113,
-0.2120526283979416,
0.09203223884105682,
-0.3342668414115906,
0.3082543611526489,
-0.16845138370990753,
-0.23394031822681427,
-0.30767351388931274,
-0.14399343729019165,
-0.1809542179107666,
0.28737354278564453,
-0.25357165932655334,
0.07502065598964691,
0.06265701353549957,
-0.330896258354187,
0.2630811035633087,
0.43935146927833557,
0.503719687461853,
-0.0771641954779625,
-0.09232044965028763,
0.02560354955494404,
-0.13528966903686523,
-0.049908675253391266,
-0.026899190619587898,
0.07493110001087189,
0.19116373360157013,
-0.3115493953227997,
0.07954223453998566,
0.2915779650211334,
-0.025028912350535393,
-0.30229324102401733,
-0.18620507419109344,
0.15034233033657074,
0.09515649825334549,
-0.14537641406059265,
-0.3303045332431793,
0.09154950827360153,
-0.18308034539222717,
-0.031860340386629105,
0.04029693454504013,
0.059760868549346924,
0.04360359534621239,
-0.0649104043841362,
0.0955715999007225,
-0.18126723170280457,
0.07073958218097687,
0.09366316348314285,
-0.0932907685637474,
-0.05471505597233772,
0.7555968165397644,
-0.07153259962797165,
0.09503095597028732,
-0.08538433164358139,
-0.21003100275993347,
-0.32625430822372437,
-0.1590140461921692,
-0.09987189620733261,
0.27881181240081787,
-0.05178218334913254,
0.08019924908876419,
0.6546945571899414,
0.3361331522464752,
0.12761598825454712,
0.1409846693277359,
-0.13919930160045624,
-0.34428784251213074,
-0.3336314260959625,
-0.025998974218964577,
0.17864979803562164,
-0.10026039928197861,
0.20802229642868042,
0.1933751106262207,
0.33699774742126465,
-0.24393419921398163,
-0.18857641518115997,
-0.1968168318271637,
0.1518179029226303,
0.7084037661552429,
-0.03436828777194023,
-0.06733902543783188,
-0.02548195980489254,
-0.00267820805311203,
-0.025168485939502716,
-0.170773446559906,
-0.12747357785701752,
-0.37970808148384094,
0.16888125240802765,
0.4832162857055664,
-0.18876056373119354,
-0.06686519086360931,
-0.2162545919418335,
-0.10766875743865967,
-0.1371474713087082,
-0.3264831304550171,
0.03570926934480667,
-0.04568564146757126,
0.2057017832994461,
-0.22629836201667786,
0.34786275029182434,
-0.090091772377491,
0.20739376544952393,
0.0170756746083498,
0.1803193837404251,
0.0580897182226181,
-0.040845081210136414,
0.17120887339115143,
0.06229710578918457,
-0.3547424376010895,
-0.03789805248379707,
-0.18474212288856506,
-0.1004062220454216,
0.02578580193221569,
-0.4382697641849518,
0.10995222628116608,
-0.15907247364521027,
0.04341196268796921,
0.03248496726155281,
-0.5039015412330627,
0.1512499302625656,
0.3939330279827118,
0.10969102382659912,
0.04253867268562317,
0.12714268267154694,
0.16199155151844025,
0.2084401547908783,
-0.017391663044691086,
0.2256091982126236,
0.039038967341184616,
-0.265863835811615,
-0.05207964405417442,
-0.16882634162902832,
-0.12271887809038162,
-0.2723003923892975,
0.07296270877122879,
-0.14059045910835266,
-0.41853320598602295,
-0.05919424816966057,
0.14822839200496674,
0.16802474856376648,
-0.10553285479545593,
0.15312983095645905,
-0.20561054348945618,
0.08979497104883194,
0.018969701603055,
-0.08495764434337616,
0.23121830821037292,
-0.2662845849990845,
0.07315904647111893,
-0.08859801292419434,
-0.032750606536865234,
0.3354671001434326,
0.1424107700586319,
0.6379612684249878,
-0.3282475173473358,
-0.02502335049211979,
-0.24423611164093018,
0.10706325620412827,
0.00512257544323802,
0.18222734332084656,
-0.6148513555526733,
-0.019357090815901756,
0.042651135474443436,
-0.10466207563877106,
0.030355872586369514,
-0.3352692425251007,
-0.0621042437851429,
0.30565348267555237,
-0.17846336960792542,
0.09636345505714417,
-0.14240045845508575,
0.21848930418491364,
0.16331422328948975,
-0.16215969622135162,
0.4087912142276764,
0.03424404561519623,
-0.10550687462091446,
-0.08757492899894714,
0.08006307482719421,
0.4988904893398285,
0.5946882963180542,
0.11233969777822495,
0.3067477345466614,
0.21389812231063843,
0.037581585347652435,
0.078985795378685,
0.204816997051239,
0.43595850467681885,
0.28091001510620117,
0.11451367288827896,
0.04079459235072136,
-0.12631744146347046,
0.07522374391555786,
0.031144630163908005,
0.10622459650039673,
-0.2927732765674591,
0.3019168972969055,
-0.010780733078718185,
-0.3658277988433838,
-0.17470870912075043,
0.3855644464492798,
-0.46778810024261475,
0.023126307874917984,
0.2493371069431305,
0.21936698257923126,
0.33851975202560425,
-0.2580968737602234,
0.03067835606634617,
-0.17712587118148804,
0.4321081042289734,
0.4894350469112396,
-0.08823558688163757,
-0.12464883178472519,
-0.28623396158218384,
-0.4793255627155304,
0.18860940635204315,
-0.1928083747625351,
-0.21018420159816742,
-0.35276103019714355,
0.18883036077022552,
0.04558388143777847,
-0.10253942757844925,
0.07314874976873398,
0.09914860874414444,
-0.22263766825199127,
-0.029267704114317894,
-0.454449862241745,
0.04934367164969444,
-0.17575675249099731,
-0.03394376114010811,
-0.028623439371585846,
-0.16214430332183838,
0.07061149924993515,
0.05983763560652733,
0.034420643001794815,
0.02024291828274727,
0.22016964852809906,
0.11978621780872345,
0.3783574402332306,
0.47854796051979065,
-0.09864506125450134,
0.724032998085022,
0.08315073698759079,
-0.00944974459707737,
0.026824085041880608,
-0.05517999082803726,
-0.17598691582679749,
0.039511922746896744,
0.1294776350259781,
0.47135043144226074,
-0.07734785228967667,
0.3596561849117279,
-0.24028132855892181,
0.07416427880525589,
-0.0500345304608345,
-0.5376129746437073,
0.08918165415525436,
-0.004217804875224829,
-0.04423810541629791,
0.26622524857521057,
0.4257822334766388,
0.11622243374586105,
0.1147407591342926,
-0.12512753903865814,
-0.4667600989341736,
-0.283077210187912,
0.418811172246933,
-0.5340776443481445,
-0.3015986382961273,
0.19961701333522797,
0.22690314054489136,
-0.06853359192609787,
0.05043429508805275,
-0.3018624782562256,
-0.06729265302419662,
0.1631373018026352,
-0.22798317670822144,
-0.015587744303047657,
0.31345611810684204,
-0.4714374542236328,
0.07941395044326782,
-0.03801816701889038,
0.2798067033290863,
0.20968572795391083,
-0.35224273800849915,
-0.04154472425580025,
-0.154948428273201
] |
https://github.com/huggingface/datasets/issues/181 | Cannot upload my own dataset | @lhoestq The endpoints in https://github.com/huggingface/nlp/blob/master/src/nlp/hf_api.py should be (depending on the type of file):
```
POST /api/datasets/presign
GET /api/datasets/listObjs
DELETE /api/datasets/deleteObj
POST /api/metrics/presign
GET /api/metrics/listObjs
DELETE /api/metrics/deleteObj
```
In addition to this, @thomwolf cleaned up the objects with dataclasses but you should revert this and re-align to the hf_api that's in this branch of transformers: https://github.com/huggingface/transformers/pull/4632 (so that potential new JSON attributes in the API output don't break existing versions of any library) | I look into `nlp-cli` and `user.py` to learn how to upload my own data.
It is supposed to work like this
- Register to get username, password at huggingface.co
- `nlp-cli login` and type username, passworld
- I have a single file to upload at `./ttc/ttc_freq_extra.csv`
- `nlp-cli upload ttc/ttc_freq_extra.csv`
But I got this error.
```
2020-05-21 16:33:52.722464: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
About to upload file /content/ttc/ttc_freq_extra.csv to S3 under filename ttc/ttc_freq_extra.csv and namespace korakot
Proceed? [Y/n] y
Uploading... This might take a while if files are large
Traceback (most recent call last):
File "/usr/local/bin/nlp-cli", line 33, in <module>
service.run()
File "/usr/local/lib/python3.6/dist-packages/nlp/commands/user.py", line 234, in run
token=token, filename=filename, filepath=filepath, organization=self.args.organization
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 141, in presign_and_upload
urls = self.presign(token, filename=filename, organization=organization)
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 132, in presign
return PresignedUrl(**d)
TypeError: __init__() got an unexpected keyword argument 'cdn'
``` | 72 | Cannot upload my own dataset
I look into `nlp-cli` and `user.py` to learn how to upload my own data.
It is supposed to work like this
- Register to get username, password at huggingface.co
- `nlp-cli login` and type username, passworld
- I have a single file to upload at `./ttc/ttc_freq_extra.csv`
- `nlp-cli upload ttc/ttc_freq_extra.csv`
But I got this error.
```
2020-05-21 16:33:52.722464: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
About to upload file /content/ttc/ttc_freq_extra.csv to S3 under filename ttc/ttc_freq_extra.csv and namespace korakot
Proceed? [Y/n] y
Uploading... This might take a while if files are large
Traceback (most recent call last):
File "/usr/local/bin/nlp-cli", line 33, in <module>
service.run()
File "/usr/local/lib/python3.6/dist-packages/nlp/commands/user.py", line 234, in run
token=token, filename=filename, filepath=filepath, organization=self.args.organization
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 141, in presign_and_upload
urls = self.presign(token, filename=filename, organization=organization)
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 132, in presign
return PresignedUrl(**d)
TypeError: __init__() got an unexpected keyword argument 'cdn'
```
@lhoestq The endpoints in https://github.com/huggingface/nlp/blob/master/src/nlp/hf_api.py should be (depending on the type of file):
```
POST /api/datasets/presign
GET /api/datasets/listObjs
DELETE /api/datasets/deleteObj
POST /api/metrics/presign
GET /api/metrics/listObjs
DELETE /api/metrics/deleteObj
```
In addition to this, @thomwolf cleaned up the objects with dataclasses but you should revert this and re-align to the hf_api that's in this branch of transformers: https://github.com/huggingface/transformers/pull/4632 (so that potential new JSON attributes in the API output don't break existing versions of any library) | [
0.09444843232631683,
-0.030215099453926086,
0.047693099826574326,
-0.021573474630713463,
0.15865516662597656,
-0.19878609478473663,
0.3093150854110718,
-0.028614412993192673,
-0.20045983791351318,
0.17955058813095093,
-0.14158780872821808,
0.26487016677856445,
-0.21903906762599945,
0.2876109778881073,
0.3653644025325775,
0.08437500149011612,
-0.012491869740188122,
0.28119343519210815,
-0.014132038690149784,
-0.0984327495098114,
-0.21194270253181458,
0.10448187589645386,
0.032021664083004,
-0.04935764893889427,
-0.11954166740179062,
-0.17534534633159637,
-0.09639151394367218,
0.2744736075401306,
-0.20591913163661957,
-0.3228282332420349,
0.4480946660041809,
0.22257733345031738,
0.30274707078933716,
0.577003538608551,
-0.00011726109369192272,
-0.04289494827389717,
0.1430101990699768,
-0.22344964742660522,
-0.6293329000473022,
-0.38263648748397827,
0.07990779727697372,
-0.1367632895708084,
0.07053184509277344,
-0.2529914081096649,
0.19080835580825806,
0.041705381125211716,
0.0007069570128805935,
0.06395947188138962,
0.5112627148628235,
0.3838021457195282,
0.15527501702308655,
0.08335090428590775,
-0.19444267451763153,
-0.08382143825292587,
0.03142401948571205,
0.18943150341510773,
-0.044448841363191605,
0.29738882184028625,
0.36469700932502747,
-0.399980753660202,
0.2879972755908966,
-0.19582869112491608,
-0.004945149179548025,
-0.09528350830078125,
0.47748538851737976,
-0.024430278688669205,
0.0022098885383456945,
-0.4087411165237427,
-0.004733027424663305,
0.14790265262126923,
0.2761019170284271,
-0.04426797106862068,
-0.34744665026664734,
-0.10564188659191132,
0.14628273248672485,
-0.4893600642681122,
0.25155338644981384,
0.3014509677886963,
-0.4247397184371948,
-0.029061494395136833,
-0.2817883789539337,
0.32458725571632385,
-0.41372907161712646,
0.4369986355304718,
0.11532535403966904,
0.3545939028263092,
-0.021374084055423737,
0.07461932301521301,
0.2307596057653427,
-0.13691888749599457,
-0.02224859781563282,
0.07378754019737244,
0.012210077606141567,
0.28070199489593506,
-0.1889120489358902,
-0.18760992586612701,
-0.01863323710858822,
-0.28084832429885864,
-0.09787121415138245,
0.11185163259506226,
0.4561244249343872,
-0.13783949613571167,
-0.23980040848255157,
0.15594901144504547,
0.09088446199893951,
0.32344213128089905,
-0.006549427285790443,
0.09779734164476395,
0.12052928656339645,
0.0003338170354254544,
0.28369060158729553,
-0.06052282080054283,
-0.27953943610191345,
-0.07793816179037094,
-0.14036314189434052,
-0.03552086651325226,
0.2655665874481201,
0.08274928480386734,
-0.0020344641525298357,
-0.0889303907752037,
0.06566981971263885,
0.06152790039777756,
-0.08327460289001465,
0.3429426848888397,
-0.08083100616931915,
-0.2568763792514801,
-0.004063366446644068,
0.25254544615745544,
0.14727097749710083,
-0.26811543107032776,
0.07059146463871002,
0.32219526171684265,
-0.12113519012928009,
-0.14960528910160065,
0.40277335047721863,
0.01671188324689865,
0.20685142278671265,
-0.05475425347685814,
0.16550391912460327,
-0.14268659055233002,
0.06256692856550217,
0.01568044163286686,
-0.15282835066318512,
0.03313657268881798,
0.23737314343452454,
0.35915085673332214,
-0.07919708639383316,
-0.5343111753463745,
-0.1254030019044876,
0.049367886036634445,
-0.38119015097618103,
-0.3526667058467865,
-0.45391860604286194,
0.09591714292764664,
0.04416825622320175,
-0.22488218545913696,
-0.3203067183494568,
-0.10148455202579498,
0.09989216923713684,
-0.26112425327301025,
-0.07177548110485077,
-0.026748761534690857,
-0.11899155378341675,
-0.12630924582481384,
0.12081341445446014,
0.03390290588140488,
-0.4636066257953644,
0.2092759609222412,
-0.046157028526067734,
0.5230323672294617,
0.29660844802856445,
0.28856420516967773,
-0.3173556625843048,
0.2671288549900055,
-0.06915697455406189,
0.18908919394016266,
0.5893783569335938,
-0.4831951856613159,
-0.2531137466430664,
0.050312262028455734,
-0.037071384489536285,
-0.11455698311328888,
0.029296545311808586,
0.1607624739408493,
0.08552654832601547,
-0.09906060993671417,
0.07839330285787582,
0.42903444170951843,
0.07837430387735367,
0.04569414258003235,
-0.24622973799705505,
-0.18085865676403046,
0.224577397108078,
0.030915699899196625,
-0.17134493589401245,
0.0790286436676979,
0.26193147897720337,
0.05616142600774765,
0.02804369293153286,
-0.34000593423843384,
0.14545132219791412,
0.1951552778482437,
0.33123818039894104,
-0.16132688522338867,
-0.14345738291740417,
0.24710357189178467,
-0.4086432456970215,
0.18435846269130707,
0.11573022603988647,
0.3616282343864441,
-0.14487585425376892,
0.002963240025565028,
-0.42881831526756287,
-0.09242136776447296,
-0.08533667773008347,
-0.03767787665128708,
0.06950760632753372,
0.09063832461833954,
0.06854327768087387,
-0.16730612516403198,
-0.22225156426429749,
0.11700570583343506,
-0.3020484149456024,
0.0560997799038887,
-0.18789005279541016,
0.06197570264339447,
-0.2840302288532257,
-0.11223091185092926,
0.22809508442878723,
0.18706244230270386,
0.20362743735313416,
-0.015008680522441864,
-0.1789752095937729,
0.09054966270923615,
-0.4720057547092438,
0.3271062970161438,
0.04591049998998642,
0.1694822907447815,
0.023193662986159325,
-0.026097606867551804,
-0.21184560656547546,
-0.11862582713365555,
0.18914294242858887,
-0.15958721935749054,
-0.32982540130615234,
0.1566563844680786,
-0.02223804220557213,
0.008161724545061588,
0.16949927806854248,
0.012336867861449718,
0.28302493691444397,
-0.19770628213882446,
0.11460234224796295,
0.1360907405614853,
0.4101683795452118,
0.09705732017755508,
0.3762931823730469,
-0.037503041326999664,
-0.13971656560897827,
-0.0750536099076271,
0.15518172085285187,
0.00046218084753490984,
0.1710677146911621,
0.0722014307975769,
0.02527892030775547,
-0.094702810049057,
0.288423091173172,
0.5951281189918518,
0.35346856713294983,
0.07945892214775085,
-0.05248229205608368,
-0.04475058987736702,
-0.11151432245969772,
-0.22756001353263855,
-0.016284378245472908,
-0.07748296111822128,
0.04854539409279823,
0.21171681582927704,
0.43869173526763916,
0.26055291295051575,
-0.13261158764362335,
-0.016882631927728653,
0.11479952931404114,
0.4540286958217621,
-0.19068312644958496,
0.26633220911026,
-0.09921867400407791,
-0.4326513409614563,
0.2592723071575165,
-0.2881086468696594,
-0.08621837943792343,
-0.182784765958786,
-0.18338283896446228,
0.12537148594856262,
0.0859251543879509,
-0.1114078164100647,
0.1523815542459488,
0.351053386926651,
-0.09527862071990967,
-0.27169281244277954,
-0.2880833148956299,
-0.1030789315700531,
-0.20516343414783478,
0.04893951490521431,
0.3304884433746338,
-0.11064460873603821,
0.41045957803726196,
0.34332275390625,
0.06626499444246292,
-0.04624009504914284,
-0.32678014039993286,
-0.0032144642900675535,
-0.04425834119319916,
0.09379108250141144,
0.0913999155163765,
0.33954891562461853,
0.004957741592079401,
-0.5441508293151855,
0.18702338635921478,
0.05857492610812187,
-0.24736614525318146,
0.259773850440979,
-0.03783915191888809,
-0.3145045340061188,
-0.49806341528892517,
0.010082417167723179,
-0.2758827209472656,
-0.3460385501384735,
0.23943129181861877,
0.33021280169487,
0.23633921146392822,
0.593953549861908,
0.018189238384366035,
0.131915882229805,
0.31638675928115845,
0.13424095511436462,
0.03354407846927643,
-0.20578527450561523,
0.48493099212646484,
-0.2360689342021942,
-0.43476200103759766,
0.1069926843047142,
-0.1374835968017578,
0.5780153274536133,
-0.04567057639360428,
-0.39297613501548767,
-0.19886080920696259,
0.09783364087343216,
0.2063959240913391,
-0.06614187359809875,
-0.08298248797655106,
0.2729761600494385,
-0.1973799765110016,
0.039316192269325256,
-0.06291264295578003,
-0.2984916567802429,
0.15413492918014526,
0.6249305009841919,
0.2360728234052658,
-0.07148406654596329,
0.4156576693058014,
0.050727952271699905,
0.6994932889938354,
0.08518002182245255,
-0.3150878846645355,
0.4526676535606384,
-0.03172583132982254,
0.17719611525535583,
-0.13752295076847076,
-0.3402385115623474,
0.09549253433942795,
0.23747211694717407,
-0.04053667187690735,
0.1565457582473755,
-0.028311360627412796,
-0.0831950232386589,
-0.4500623345375061,
0.22518055140972137,
-0.25933757424354553,
0.04975167289376259,
0.01460089161992073,
0.0814526379108429,
0.03887375444173813,
-0.09079187363386154,
-0.2421218305826187,
-0.35652685165405273,
-0.5098559260368347,
-0.12958145141601562,
0.2505665719509125,
-0.23419040441513062,
0.18313686549663544,
-0.6524077653884888,
-0.1037067323923111,
-0.6693301796913147,
0.2962004244327545,
-0.14688903093338013,
0.27544599771499634,
-0.21646258234977722,
0.18662232160568237,
0.13347889482975006,
-0.08640004694461823,
0.0892622247338295,
-0.4160825312137604,
-0.17348743975162506,
-0.09920826554298401,
0.29538002610206604,
-0.46098917722702026,
-0.04646872356534004,
-0.03333204612135887,
0.08325408399105072,
0.484587162733078,
0.21635542809963226,
0.020408520475029945,
0.09795600175857544,
-0.17281438410282135,
-0.2555900514125824,
-0.16451409459114075,
-0.2275293916463852,
-0.03326886147260666,
-0.6557897329330444,
-0.34370601177215576,
-0.4793671667575836,
0.07115917652845383,
0.1532265841960907,
0.1519203633069992,
-0.07051805406808853,
0.22515316307544708,
0.1137518361210823,
0.49375858902931213,
0.01778639294207096,
-0.0832149013876915,
0.6168342232704163,
-0.12393555045127869,
-0.4665551781654358,
0.49015679955482483,
-0.062034521251916885,
0.3874392807483673,
0.07472054660320282,
-0.137711763381958,
-0.1564883142709732,
-0.3009519875049591,
0.44125694036483765,
0.1783338189125061,
0.10966116189956665,
0.21357350051403046,
-0.13211655616760254,
0.05214957520365715,
-0.19166453182697296,
0.47335830330848694,
0.33841729164123535,
-0.09716443717479706,
-0.37715110182762146,
-0.13973112404346466,
0.44671180844306946,
-0.2157983034849167,
-0.007921336218714714,
0.23950178921222687,
-0.21200741827487946,
-0.2822958528995514,
0.21089613437652588,
0.1703662872314453,
1.1364245414733887,
-0.07740283012390137,
0.3717598021030426,
0.13204924762248993,
-0.05455544590950012,
0.756165623664856,
-0.189636692404747,
0.024763785302639008,
-0.24850215017795563,
0.17459559440612793,
-0.10031937062740326,
-0.044815290719270706,
-0.08898164331912994,
0.11526598036289215,
-0.2281901091337204,
0.057402901351451874,
-0.04674174264073372,
-0.16363777220249176,
0.007388527505099773,
0.5417446494102478,
0.09941370785236359,
-0.37804168462753296,
-0.2032104730606079,
0.10226572304964066,
-0.3348422348499298,
0.300632506608963,
-0.16814744472503662,
-0.23469892144203186,
-0.3243204653263092,
-0.16216176748275757,
-0.1864951103925705,
0.3050612211227417,
-0.2374933362007141,
0.08102388679981232,
0.05311445891857147,
-0.3184695541858673,
0.25533443689346313,
0.43584439158439636,
0.5033402442932129,
-0.1063317060470581,
-0.07909493893384933,
0.03086026944220066,
-0.13777223229408264,
-0.029955264180898666,
0.00021585235663224012,
0.07229527086019516,
0.17591899633407593,
-0.3124386966228485,
0.06527704745531082,
0.296657919883728,
-0.014302980154752731,
-0.3096219599246979,
-0.17401352524757385,
0.14716756343841553,
0.07625935971736908,
-0.1434604674577713,
-0.3124759793281555,
0.09920909255743027,
-0.1777138113975525,
-0.024742700159549713,
0.041210904717445374,
0.06617726385593414,
0.035941094160079956,
-0.07256115972995758,
0.07392632216215134,
-0.18735934793949127,
0.06512017548084259,
0.07385565340518951,
-0.11527114361524582,
-0.061694324016571045,
0.7477405071258545,
-0.06718622148036957,
0.09660428017377853,
-0.09921867400407791,
-0.23556290566921234,
-0.3396821618080139,
-0.1887063831090927,
-0.10450910031795502,
0.268494188785553,
-0.04515475779771805,
0.06955849379301071,
0.6650156378746033,
0.3328908681869507,
0.14161746203899384,
0.16352076828479767,
-0.1516106128692627,
-0.3325672745704651,
-0.3406677842140198,
-0.03344905003905296,
0.16924843192100525,
-0.08270024508237839,
0.19785837829113007,
0.20175254344940186,
0.3437690734863281,
-0.2551347613334656,
-0.1751261055469513,
-0.213116854429245,
0.16516424715518951,
0.7187826633453369,
-0.05416596308350563,
-0.06109904497861862,
-0.01915862038731575,
0.0032395923044532537,
-0.044167179614305496,
-0.1669817417860031,
-0.13342894613742828,
-0.3722269535064697,
0.16226893663406372,
0.4754086136817932,
-0.20718461275100708,
-0.07411085814237595,
-0.20155292749404907,
-0.10357882082462311,
-0.12503787875175476,
-0.3151991665363312,
0.04092114418745041,
-0.05833408236503601,
0.21087117493152618,
-0.2468242049217224,
0.35262587666511536,
-0.0880851149559021,
0.19500480592250824,
0.019292667508125305,
0.18320366740226746,
0.07253312319517136,
-0.024480164051055908,
0.164117693901062,
0.05056849122047424,
-0.35458847880363464,
-0.03148438036441803,
-0.20351652801036835,
-0.09130875021219254,
0.04711661487817764,
-0.4444272518157959,
0.11381764709949493,
-0.16836608946323395,
0.04783990979194641,
0.02164587564766407,
-0.5189089775085449,
0.14512744545936584,
0.38480204343795776,
0.12011399120092392,
0.04832201823592186,
0.12300380319356918,
0.168443962931633,
0.21478180587291718,
-0.010158488526940346,
0.2320229560136795,
0.062190908938646317,
-0.2759912312030792,
-0.05973144620656967,
-0.1776445209980011,
-0.10463615506887436,
-0.26302629709243774,
0.07028733938932419,
-0.12691187858581543,
-0.4082081913948059,
-0.05109411105513573,
0.13153181970119476,
0.1713169813156128,
-0.1107318103313446,
0.1462879478931427,
-0.2145097404718399,
0.09462927281856537,
0.028082218021154404,
-0.08880063891410828,
0.2282719612121582,
-0.2685786485671997,
0.07813689112663269,
-0.10730578750371933,
-0.04195205494761467,
0.33544427156448364,
0.14839206635951996,
0.6253678798675537,
-0.30057933926582336,
-0.02767796814441681,
-0.24202090501785278,
0.14442461729049683,
-0.0007231162744574249,
0.17657244205474854,
-0.6177631616592407,
-0.028876246884465218,
0.050703346729278564,
-0.10465004295110703,
0.028325475752353668,
-0.3496128022670746,
-0.06082197651267052,
0.3098294138908386,
-0.17741812765598297,
0.11428356915712357,
-0.15285003185272217,
0.21429720520973206,
0.14840394258499146,
-0.15133193135261536,
0.42992478609085083,
0.059626635164022446,
-0.10391702502965927,
-0.08217435330152512,
0.07708939164876938,
0.5147436857223511,
0.5829105973243713,
0.11593953520059586,
0.31674519181251526,
0.21503454446792603,
0.028208015486598015,
0.07165045291185379,
0.216790571808815,
0.43436065316200256,
0.2830870449542999,
0.1265617161989212,
0.04775439575314522,
-0.12174860388040543,
0.07318612933158875,
0.05191708356142044,
0.1230233758687973,
-0.2741186022758484,
0.30079132318496704,
0.0012679644860327244,
-0.3716162443161011,
-0.19212456047534943,
0.3825387954711914,
-0.4631412923336029,
0.03657710924744606,
0.21874862909317017,
0.2108301967382431,
0.3433952331542969,
-0.2772810757160187,
0.038886092603206635,
-0.16345813870429993,
0.436238169670105,
0.4967527389526367,
-0.06773627549409866,
-0.12502819299697876,
-0.28918665647506714,
-0.4506285488605499,
0.18131107091903687,
-0.19864536821842194,
-0.229953333735466,
-0.3568551540374756,
0.1961071491241455,
0.04849028214812279,
-0.10085778683423996,
0.05383499711751938,
0.09990976005792618,
-0.21706265211105347,
-0.01697269268333912,
-0.4612068831920624,
0.06106322631239891,
-0.1587815135717392,
-0.01481538824737072,
-0.02872912399470806,
-0.14931762218475342,
0.06392396986484528,
0.07336728274822235,
0.04292561486363411,
0.029615676030516624,
0.21092501282691956,
0.10708532482385635,
0.38921597599983215,
0.47182756662368774,
-0.101585254073143,
0.7334184646606445,
0.0889015793800354,
-0.002749854465946555,
0.012415150180459023,
-0.051011715084314346,
-0.17123179137706757,
0.02972528524696827,
0.1415664553642273,
0.4371808171272278,
-0.08350149542093277,
0.35412919521331787,
-0.2191765010356903,
0.053227584809064865,
-0.051956869661808014,
-0.5288753509521484,
0.10355649143457413,
-0.005815076641738415,
-0.03416036069393158,
0.2721147835254669,
0.40909549593925476,
0.11103535443544388,
0.11265738308429718,
-0.10881705582141876,
-0.4588083326816559,
-0.2800886034965515,
0.3989618122577667,
-0.5402225255966187,
-0.3015979528427124,
0.19581826031208038,
0.23403999209403992,
-0.060050830245018005,
0.04783572256565094,
-0.3058384954929352,
-0.059673972427845,
0.16777783632278442,
-0.2149411141872406,
-0.009056609123945236,
0.319765567779541,
-0.4719265401363373,
0.0773255005478859,
-0.03231985494494438,
0.2738976776599884,
0.20475371181964874,
-0.35823583602905273,
-0.03778081014752388,
-0.16721460223197937
] |
https://github.com/huggingface/datasets/issues/181 | Cannot upload my own dataset | New commands are
```
nlp-cli upload_dataset <path/to/dataset>
nlp-cli upload_metric <path/to/metric>
nlp-cli s3_datasets {rm, ls}
nlp-cli s3_metrics {rm, ls}
```
Closing this issue. | I look into `nlp-cli` and `user.py` to learn how to upload my own data.
It is supposed to work like this
- Register to get username, password at huggingface.co
- `nlp-cli login` and type username, passworld
- I have a single file to upload at `./ttc/ttc_freq_extra.csv`
- `nlp-cli upload ttc/ttc_freq_extra.csv`
But I got this error.
```
2020-05-21 16:33:52.722464: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
About to upload file /content/ttc/ttc_freq_extra.csv to S3 under filename ttc/ttc_freq_extra.csv and namespace korakot
Proceed? [Y/n] y
Uploading... This might take a while if files are large
Traceback (most recent call last):
File "/usr/local/bin/nlp-cli", line 33, in <module>
service.run()
File "/usr/local/lib/python3.6/dist-packages/nlp/commands/user.py", line 234, in run
token=token, filename=filename, filepath=filepath, organization=self.args.organization
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 141, in presign_and_upload
urls = self.presign(token, filename=filename, organization=organization)
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 132, in presign
return PresignedUrl(**d)
TypeError: __init__() got an unexpected keyword argument 'cdn'
``` | 22 | Cannot upload my own dataset
I look into `nlp-cli` and `user.py` to learn how to upload my own data.
It is supposed to work like this
- Register to get username, password at huggingface.co
- `nlp-cli login` and type username, passworld
- I have a single file to upload at `./ttc/ttc_freq_extra.csv`
- `nlp-cli upload ttc/ttc_freq_extra.csv`
But I got this error.
```
2020-05-21 16:33:52.722464: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
About to upload file /content/ttc/ttc_freq_extra.csv to S3 under filename ttc/ttc_freq_extra.csv and namespace korakot
Proceed? [Y/n] y
Uploading... This might take a while if files are large
Traceback (most recent call last):
File "/usr/local/bin/nlp-cli", line 33, in <module>
service.run()
File "/usr/local/lib/python3.6/dist-packages/nlp/commands/user.py", line 234, in run
token=token, filename=filename, filepath=filepath, organization=self.args.organization
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 141, in presign_and_upload
urls = self.presign(token, filename=filename, organization=organization)
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 132, in presign
return PresignedUrl(**d)
TypeError: __init__() got an unexpected keyword argument 'cdn'
```
New commands are
```
nlp-cli upload_dataset <path/to/dataset>
nlp-cli upload_metric <path/to/metric>
nlp-cli s3_datasets {rm, ls}
nlp-cli s3_metrics {rm, ls}
```
Closing this issue. | [
0.10846686363220215,
-0.04407903924584389,
0.05040140077471733,
-0.02760578878223896,
0.1381332129240036,
-0.18117083609104156,
0.326691597700119,
-0.009185325354337692,
-0.19502303004264832,
0.1800154745578766,
-0.1299545168876648,
0.23764589428901672,
-0.23067700862884521,
0.2919650375843048,
0.36800044775009155,
0.07485684007406235,
0.0062186154536902905,
0.2890031635761261,
0.011849310249090195,
-0.10124019533395767,
-0.21110163629055023,
0.10817064344882965,
0.035999517887830734,
-0.06653718650341034,
-0.1229436993598938,
-0.17405153810977936,
-0.10020694881677628,
0.27096477150917053,
-0.2011144459247589,
-0.3351971507072449,
0.44026118516921997,
0.22429464757442474,
0.32153770327568054,
0.5771898031234741,
-0.00011768120020860806,
-0.053284939378499985,
0.13914425671100616,
-0.2255367487668991,
-0.6261977553367615,
-0.36731237173080444,
0.08496621996164322,
-0.17352649569511414,
0.08267373591661453,
-0.2572456896305084,
0.1832292079925537,
0.025091534480452538,
0.00859874952584505,
0.07702253758907318,
0.5234441161155701,
0.36876657605171204,
0.1549510806798935,
0.09582094103097916,
-0.1830166131258011,
-0.09871897101402283,
0.029122162610292435,
0.18727968633174896,
-0.04247983917593956,
0.29659441113471985,
0.3687254786491394,
-0.3961859941482544,
0.3029371201992035,
-0.18616318702697754,
-0.008992482908070087,
-0.08873268216848373,
0.4844443202018738,
-0.022030899301171303,
0.006850079633295536,
-0.40278059244155884,
-0.008083040826022625,
0.1580435335636139,
0.27216383814811707,
-0.03827808052301407,
-0.3466472625732422,
-0.11687161773443222,
0.15635859966278076,
-0.4871677756309509,
0.24212060868740082,
0.28327709436416626,
-0.4218558669090271,
-0.04651590809226036,
-0.25824227929115295,
0.31141313910484314,
-0.41079214215278625,
0.4234360456466675,
0.1253177374601364,
0.35030317306518555,
-0.026140790432691574,
0.06101497262716293,
0.25930145382881165,
-0.14530310034751892,
-0.02124325931072235,
0.09257052093744278,
0.017638584598898888,
0.2819576561450958,
-0.1919320672750473,
-0.1905704140663147,
-0.021572936326265335,
-0.2899376451969147,
-0.10397447645664215,
0.10910069942474365,
0.4545294940471649,
-0.13084636628627777,
-0.22314877808094025,
0.15165263414382935,
0.08718416839838028,
0.3312406837940216,
0.008624504320323467,
0.07960421591997147,
0.11092185229063034,
0.01273246482014656,
0.2880074083805084,
-0.06930067390203476,
-0.27576693892478943,
-0.07849889248609543,
-0.13718993961811066,
-0.048890288919210434,
0.2654901146888733,
0.08655624836683273,
0.0027185112703591585,
-0.08611790835857391,
0.07163924723863602,
0.03991139307618141,
-0.07255198061466217,
0.33466601371765137,
-0.09973735362291336,
-0.2767595648765564,
0.008246120996773243,
0.24410729110240936,
0.12901826202869415,
-0.2690322995185852,
0.07090898603200912,
0.30144989490509033,
-0.12323897331953049,
-0.1411055475473404,
0.4131867289543152,
0.002604223322123289,
0.19098684191703796,
-0.04976858198642731,
0.1741701364517212,
-0.11572030931711197,
0.07259535044431686,
0.026877403259277344,
-0.15458202362060547,
0.026117052882909775,
0.23558521270751953,
0.3750024437904358,
-0.07226500660181046,
-0.5426656007766724,
-0.12554562091827393,
0.04687367379665375,
-0.37620678544044495,
-0.348122775554657,
-0.449422687292099,
0.09366770088672638,
0.0353323370218277,
-0.23436014354228973,
-0.2903648912906647,
-0.08445347100496292,
0.09920245409011841,
-0.27377137541770935,
-0.08804371953010559,
-0.017819838598370552,
-0.10808909684419632,
-0.14024370908737183,
0.11493581533432007,
0.05397984758019447,
-0.4861149191856384,
0.2089095562696457,
-0.06266996264457703,
0.513792097568512,
0.30137181282043457,
0.28101080656051636,
-0.3043970465660095,
0.25999054312705994,
-0.06236555054783821,
0.1773793250322342,
0.5754053592681885,
-0.4743400514125824,
-0.25073763728141785,
0.034278757870197296,
-0.03656146302819252,
-0.10301212966442108,
0.054686177521944046,
0.16820470988750458,
0.0883634015917778,
-0.10266026854515076,
0.07414025813341141,
0.4095371961593628,
0.07595779001712799,
0.03001254051923752,
-0.22451426088809967,
-0.17478151619434357,
0.25426867604255676,
0.012387936003506184,
-0.1504039168357849,
0.07483946532011032,
0.2523055076599121,
0.0847451239824295,
0.030770158395171165,
-0.33520960807800293,
0.1500527411699295,
0.20149841904640198,
0.33596450090408325,
-0.13525719940662384,
-0.13722974061965942,
0.23809470236301422,
-0.4048445522785187,
0.19656269252300262,
0.12716296315193176,
0.3596288859844208,
-0.11084041744470596,
0.006236647721379995,
-0.42009133100509644,
-0.11388055235147476,
-0.095737025141716,
-0.03177253529429436,
0.06666672974824905,
0.09637987613677979,
0.07029160857200623,
-0.18559114634990692,
-0.23020467162132263,
0.1288207769393921,
-0.3153892755508423,
0.061057768762111664,
-0.19712720811367035,
0.05917000770568848,
-0.2863599956035614,
-0.11160070449113846,
0.21818305552005768,
0.17532144486904144,
0.20732025802135468,
-0.01801823452115059,
-0.17255271971225739,
0.089498370885849,
-0.46536704897880554,
0.30873700976371765,
0.012426805682480335,
0.1415528953075409,
0.033568862825632095,
-0.02158357761800289,
-0.19961975514888763,
-0.11788244545459747,
0.17727231979370117,
-0.17059771716594696,
-0.3431077003479004,
0.1499732881784439,
-0.03314851224422455,
0.019479259848594666,
0.1668228954076767,
-0.002481972798705101,
0.2705672085285187,
-0.19244827330112457,
0.10810335725545883,
0.11901237815618515,
0.39312803745269775,
0.10056769847869873,
0.3735921382904053,
-0.06234974414110184,
-0.12617255747318268,
-0.08031732589006424,
0.17376285791397095,
0.01459315326064825,
0.1585075706243515,
0.06848929077386856,
0.03325968608260155,
-0.07810266315937042,
0.2860080897808075,
0.6209812164306641,
0.35156089067459106,
0.09832240641117096,
-0.04840410128235817,
-0.05061180889606476,
-0.1180218979716301,
-0.2226051390171051,
-0.03233442083001137,
-0.08653225749731064,
0.04504851996898651,
0.21368926763534546,
0.42927277088165283,
0.26288384199142456,
-0.13860440254211426,
0.0028302406426519156,
0.11219168454408646,
0.441070020198822,
-0.18067660927772522,
0.24720029532909393,
-0.11076132953166962,
-0.4309423863887787,
0.23817889392375946,
-0.28240859508514404,
-0.08930676430463791,
-0.164419487118721,
-0.19531308114528656,
0.11842501163482666,
0.11353164166212082,
-0.12695936858654022,
0.16629907488822937,
0.3391794264316559,
-0.11040627211332321,
-0.25449445843696594,
-0.2794031798839569,
-0.08828532695770264,
-0.2085285782814026,
0.05295977368950844,
0.3282945156097412,
-0.11787407100200653,
0.4269637167453766,
0.3558066785335541,
0.06698260456323624,
-0.048253122717142105,
-0.34660568833351135,
-0.012719860300421715,
-0.06370187550783157,
0.07861333340406418,
0.0849282294511795,
0.34388962388038635,
-0.0008328958647325635,
-0.5517417192459106,
0.19058850407600403,
0.06303270906209946,
-0.2525029480457306,
0.24601833522319794,
-0.021941253915429115,
-0.3063010573387146,
-0.4941294491291046,
-0.007458256557583809,
-0.27835220098495483,
-0.34387919306755066,
0.25040802359580994,
0.35123714804649353,
0.23518332839012146,
0.6135788559913635,
0.02083003893494606,
0.139483243227005,
0.31701117753982544,
0.1529635190963745,
0.033169668167829514,
-0.18742351233959198,
0.4657982289791107,
-0.253059446811676,
-0.4329995810985565,
0.1104678362607956,
-0.13290517032146454,
0.5748021602630615,
-0.04160069674253464,
-0.36591243743896484,
-0.19975855946540833,
0.09144122898578644,
0.18816474080085754,
-0.07725860923528671,
-0.06613484770059586,
0.28565865755081177,
-0.18216510117053986,
0.042107660323381424,
-0.059119053184986115,
-0.31170520186424255,
0.1501697599887848,
0.634050190448761,
0.2549777925014496,
-0.07658562809228897,
0.42161354422569275,
0.04242322966456413,
0.7029531598091125,
0.0894530639052391,
-0.3097902834415436,
0.4549662470817566,
-0.028219074010849,
0.19479712843894958,
-0.13296891748905182,
-0.3579261600971222,
0.09596799314022064,
0.23466476798057556,
-0.030786579474806786,
0.13775242865085602,
-0.027219032868742943,
-0.06776484847068787,
-0.44664323329925537,
0.24750760197639465,
-0.25212833285331726,
0.060791872441768646,
-0.0016710951458662748,
0.1091473251581192,
0.04245854541659355,
-0.10231301933526993,
-0.23655220866203308,
-0.3656546473503113,
-0.5041989684104919,
-0.12927523255348206,
0.24986431002616882,
-0.2540321946144104,
0.19691483676433563,
-0.6588916182518005,
-0.12373936176300049,
-0.6575391292572021,
0.28806063532829285,
-0.14811094105243683,
0.2594555914402008,
-0.21375109255313873,
0.17713625729084015,
0.13104209303855896,
-0.0893455445766449,
0.11717246472835541,
-0.41821831464767456,
-0.1867838352918625,
-0.09565205127000809,
0.2866272032260895,
-0.4773975610733032,
-0.05347100645303726,
-0.04376180097460747,
0.08510912954807281,
0.4654023051261902,
0.22015418112277985,
0.03126194700598717,
0.0952756330370903,
-0.1582920104265213,
-0.24406804144382477,
-0.1730843186378479,
-0.2345629632472992,
-0.04077920317649841,
-0.6392327547073364,
-0.3375431001186371,
-0.4886775612831116,
0.04947761446237564,
0.15703986585140228,
0.1608157455921173,
-0.07531002163887024,
0.21244412660598755,
0.11879786103963852,
0.4977768659591675,
0.022434018552303314,
-0.06972049921751022,
0.6355298757553101,
-0.1225438192486763,
-0.44986531138420105,
0.48968493938446045,
-0.0535588264465332,
0.37191247940063477,
0.050603389739990234,
-0.12606146931648254,
-0.18032985925674438,
-0.29894495010375977,
0.4641976058483124,
0.18745794892311096,
0.11531272530555725,
0.21370334923267365,
-0.11608636379241943,
0.049450840801000595,
-0.1887468695640564,
0.47350144386291504,
0.34728601574897766,
-0.09279077500104904,
-0.37483152747154236,
-0.16618962585926056,
0.44636350870132446,
-0.18877387046813965,
-0.0016304736491292715,
0.22985850274562836,
-0.2005375772714615,
-0.2884901463985443,
0.1962747871875763,
0.17903350293636322,
1.1350759267807007,
-0.09616310149431229,
0.37867799401283264,
0.13602028787136078,
-0.05242533981800079,
0.7858072519302368,
-0.18570853769779205,
0.03413795679807663,
-0.2420796900987625,
0.16550908982753754,
-0.10266633331775665,
-0.03763779252767563,
-0.08714635670185089,
0.1050228402018547,
-0.23912164568901062,
0.06721735745668411,
-0.05727611109614372,
-0.16555151343345642,
-0.006033556070178747,
0.5472071170806885,
0.09571029245853424,
-0.39484384655952454,
-0.19912967085838318,
0.10654102265834808,
-0.33136892318725586,
0.2973271310329437,
-0.1884974241256714,
-0.23479127883911133,
-0.29894348978996277,
-0.15512214601039886,
-0.1712498515844345,
0.30104056000709534,
-0.23888616263866425,
0.08907769620418549,
0.054780662059783936,
-0.32584288716316223,
0.24529248476028442,
0.42029809951782227,
0.5057647228240967,
-0.0947711244225502,
-0.07163029164075851,
0.015904340893030167,
-0.12948524951934814,
-0.05805828794836998,
-0.016992727294564247,
0.0785607174038887,
0.204513818025589,
-0.3050248622894287,
0.06459339708089828,
0.28322574496269226,
-0.004202621523290873,
-0.2958988845348358,
-0.1927383542060852,
0.17007623612880707,
0.10598528385162354,
-0.14506235718727112,
-0.32288095355033875,
0.10752295702695847,
-0.1985757201910019,
-0.023927772417664528,
0.043140243738889694,
0.05214391276240349,
0.02309442311525345,
-0.06285283714532852,
0.07580862939357758,
-0.1846112459897995,
0.06752022355794907,
0.09131108969449997,
-0.08641243726015091,
-0.08536357432603836,
0.7531553506851196,
-0.0654556006193161,
0.10210202634334564,
-0.09430187195539474,
-0.23572085797786713,
-0.344440758228302,
-0.16373004019260406,
-0.10431695729494095,
0.28870391845703125,
-0.04541276767849922,
0.10916069895029068,
0.6310175657272339,
0.3479664623737335,
0.11863742023706436,
0.14224302768707275,
-0.13004614412784576,
-0.33897271752357483,
-0.3504672348499298,
-0.022793253883719444,
0.17645171284675598,
-0.09358447790145874,
0.1920360028743744,
0.20667432248592377,
0.33862990140914917,
-0.2541729509830475,
-0.18684673309326172,
-0.18249186873435974,
0.1629975289106369,
0.7249687910079956,
-0.046619150787591934,
-0.06739484518766403,
-0.02037704922258854,
0.0019189182203263044,
-0.040756627917289734,
-0.1685422658920288,
-0.13428914546966553,
-0.38078394532203674,
0.16128729283809662,
0.47966650128364563,
-0.202500581741333,
-0.07540290802717209,
-0.2050624042749405,
-0.09480413794517517,
-0.11984473466873169,
-0.305656760931015,
0.043924156576395035,
-0.0480843223631382,
0.22156158089637756,
-0.232159823179245,
0.33715230226516724,
-0.0559336394071579,
0.18995922803878784,
0.03067093901336193,
0.1726495772600174,
0.07241968810558319,
-0.03402082622051239,
0.16806064546108246,
0.057489052414894104,
-0.3541553318500519,
-0.03275146707892418,
-0.19122721254825592,
-0.103845976293087,
0.029014505445957184,
-0.44629940390586853,
0.1061885729432106,
-0.17603440582752228,
0.04980066046118736,
0.022434690967202187,
-0.4888654053211212,
0.13809145987033844,
0.3895101249217987,
0.11818040162324905,
0.03648433834314346,
0.11728806048631668,
0.16463932394981384,
0.218766987323761,
-0.018171221017837524,
0.22868132591247559,
0.04256490245461464,
-0.2698046565055847,
-0.06452585756778717,
-0.17235445976257324,
-0.12308377027511597,
-0.27268898487091064,
0.08677578717470169,
-0.11697102338075638,
-0.3999553322792053,
-0.06926930695772171,
0.15473715960979462,
0.1715613603591919,
-0.097404345870018,
0.14381533861160278,
-0.20515550673007965,
0.10718589276075363,
0.03388464078307152,
-0.08608327060937881,
0.22095447778701782,
-0.2704433500766754,
0.08013695478439331,
-0.08750218898057938,
-0.027106905356049538,
0.3488442301750183,
0.14098139107227325,
0.6430829763412476,
-0.30079030990600586,
-0.038441840559244156,
-0.23728369176387787,
0.12414265424013138,
-0.0008916539372876287,
0.19300639629364014,
-0.6118702292442322,
-0.016116509214043617,
0.040175631642341614,
-0.10860490798950195,
0.03986545652151108,
-0.35414376854896545,
-0.06759520620107651,
0.309472918510437,
-0.17172783613204956,
0.11386804282665253,
-0.1698199063539505,
0.20617708563804626,
0.14696478843688965,
-0.14845134317874908,
0.39706501364707947,
0.054240211844444275,
-0.10305584967136383,
-0.07449574768543243,
0.08739268779754639,
0.5002291798591614,
0.6005570292472839,
0.11638987809419632,
0.32311055064201355,
0.20161046087741852,
0.038133248686790466,
0.07256437838077545,
0.2018141895532608,
0.4283689260482788,
0.27456265687942505,
0.1099807471036911,
0.04795939102768898,
-0.12619198858737946,
0.06361647695302963,
0.04795260727405548,
0.09902076423168182,
-0.29639777541160583,
0.29422879219055176,
0.0014727204106748104,
-0.373447448015213,
-0.1934806853532791,
0.3822582960128784,
-0.48805636167526245,
0.028024353086948395,
0.24869614839553833,
0.215536966919899,
0.33565637469291687,
-0.27084383368492126,
0.036630239337682724,
-0.16707256436347961,
0.43749481439590454,
0.48262348771095276,
-0.0939960852265358,
-0.12573960423469543,
-0.2834653854370117,
-0.465683251619339,
0.17053495347499847,
-0.19895115494728088,
-0.22324588894844055,
-0.3570999503135681,
0.20041172206401825,
0.04287050664424896,
-0.12530548870563507,
0.0718621015548706,
0.0931006446480751,
-0.22871510684490204,
-0.058963388204574585,
-0.472491592168808,
0.05648230016231537,
-0.135480597615242,
-0.02128111943602562,
-0.02528051659464836,
-0.1377783566713333,
0.05076063051819801,
0.055500324815511703,
0.03497475013136864,
0.025941763073205948,
0.2124396115541458,
0.10449168086051941,
0.39724162220954895,
0.48885905742645264,
-0.11699507385492325,
0.7418338656425476,
0.09344246238470078,
-0.010376805439591408,
0.011937758885324001,
-0.037466153502464294,
-0.1898796558380127,
0.05390346795320511,
0.12369749695062637,
0.4505586624145508,
-0.09263240545988083,
0.3479197025299072,
-0.22000618278980255,
0.07006711512804031,
-0.040546055883169174,
-0.5381633639335632,
0.11118791997432709,
-0.0031197224743664265,
-0.031219875440001488,
0.2671131193637848,
0.4321085214614868,
0.12411174178123474,
0.110828697681427,
-0.10501426458358765,
-0.4677984118461609,
-0.27645811438560486,
0.40621402859687805,
-0.5333340764045715,
-0.2964300513267517,
0.18773140013217926,
0.23693422973155975,
-0.08291369676589966,
0.036134686321020126,
-0.2994183599948883,
-0.07017748802900314,
0.16325390338897705,
-0.22941242158412933,
-0.012820384465157986,
0.3217461109161377,
-0.4839881658554077,
0.06313849985599518,
-0.03617709130048752,
0.24127358198165894,
0.22410330176353455,
-0.3566042482852936,
-0.033037252724170685,
-0.15160402655601501
] |
https://github.com/huggingface/datasets/issues/179 | [Feature request] separate split name and split instructions | If your dataset is a collection of sub-datasets, you should probably consider having one config per sub-dataset. For example for Glue, we have sst2, mnli etc.
If you want to have multiple train sets (for example one per stage). The easiest solution would be to name them `nlp.Split("train_stage1")`, `nlp.Split("train_stage2")`, etc. or something like that. | Currently, the name of an nlp.NamedSplit is parsed in arrow_reader.py and used as the instruction.
This makes it impossible to have several training sets, which can occur when:
- A dataset corresponds to a collection of sub-datasets
- A dataset was built in stages, adding new examples at each stage
Would it be possible to have two separate fields in the Split class, a name /instruction and a unique ID that is used as the key in the builder's split_dict ? | 54 | [Feature request] separate split name and split instructions
Currently, the name of an nlp.NamedSplit is parsed in arrow_reader.py and used as the instruction.
This makes it impossible to have several training sets, which can occur when:
- A dataset corresponds to a collection of sub-datasets
- A dataset was built in stages, adding new examples at each stage
Would it be possible to have two separate fields in the Split class, a name /instruction and a unique ID that is used as the key in the builder's split_dict ?
If your dataset is a collection of sub-datasets, you should probably consider having one config per sub-dataset. For example for Glue, we have sst2, mnli etc.
If you want to have multiple train sets (for example one per stage). The easiest solution would be to name them `nlp.Split("train_stage1")`, `nlp.Split("train_stage2")`, etc. or something like that. | [
0.04338924586772919,
-0.19811077415943146,
0.030185675248503685,
0.21069085597991943,
0.10683432966470718,
0.08471931517124176,
0.5492761135101318,
0.19509541988372803,
-0.014409385621547699,
0.15259334444999695,
0.0023250970989465714,
0.45175155997276306,
-0.2708510756492615,
0.32557156682014465,
0.019077444449067116,
-0.40613803267478943,
-0.06452751904726028,
0.061306584626436234,
0.23302127420902252,
0.10228580236434937,
0.09767555445432663,
0.2273228019475937,
-0.03829320892691612,
0.2814406752586365,
-0.23800848424434662,
-0.22818610072135925,
-0.2058771848678589,
-0.1653982698917389,
0.018803033977746964,
-0.40434202551841736,
0.17547115683555603,
0.17289216816425323,
-0.24170561134815216,
0.03427776321768761,
-0.00011900687968591228,
-0.12621568143367767,
0.21351444721221924,
-0.0090980539098382,
-0.15672512352466583,
-0.1734885722398758,
-0.5583316683769226,
-0.49402719736099243,
0.4417526423931122,
-0.5981581807136536,
-0.004088054411113262,
-0.06665854156017303,
-0.009363004006445408,
0.2533458471298218,
0.5818639993667603,
-0.1610967367887497,
0.09534043073654175,
-0.37281712889671326,
-0.006457954179495573,
0.1218833327293396,
0.3031226396560669,
0.17062778770923615,
-0.32061246037483215,
-0.33287808299064636,
-0.1921621561050415,
0.01641908660531044,
-0.0143435625359416,
0.21867430210113525,
0.06726618111133575,
-0.14753024280071259,
0.12505781650543213,
0.20889067649841309,
-0.18132558465003967,
-0.16720466315746307,
-0.06251612305641174,
0.37087708711624146,
-0.16584412753582,
-0.18620947003364563,
-0.21817921102046967,
-0.7446478009223938,
0.19280828535556793,
-0.39910298585891724,
0.009477135725319386,
0.2820793688297272,
-0.023257751017808914,
0.0569058395922184,
0.22809386253356934,
-0.30260971188545227,
-0.1733475625514984,
0.07937303185462952,
0.15809054672718048,
0.6143718361854553,
0.08293595165014267,
0.20643454790115356,
0.19808441400527954,
0.01964546926319599,
0.19974546134471893,
0.13025808334350586,
-0.04197680577635765,
0.1836852878332138,
-0.2608931064605713,
-0.3455762267112732,
-0.39284199476242065,
-0.08230011910200119,
-0.21530209481716156,
0.14773288369178772,
0.2048059105873108,
-0.037260860204696655,
0.08624082803726196,
0.13486889004707336,
0.24606934189796448,
0.07950537651777267,
0.43001291155815125,
0.6358776688575745,
0.11269086599349976,
-0.019236857071518898,
-0.3608032763004303,
-0.024251269176602364,
-0.06769775599241257,
0.06192421540617943,
-0.17635320127010345,
0.10095897316932678,
-0.09962914884090424,
0.23635649681091309,
-0.05811112001538277,
-0.29367464780807495,
-0.11544916033744812,
-0.2922120690345764,
0.27775993943214417,
-0.007407102733850479,
0.13234078884124756,
0.055596426129341125,
-0.32508039474487305,
0.13766512274742126,
-0.190327450633049,
-0.4007328748703003,
-0.10605192184448242,
0.12324076890945435,
-0.30392980575561523,
0.28528645634651184,
-0.025047264993190765,
0.08957474678754807,
0.1397496908903122,
-0.02392270602285862,
-0.1711864173412323,
-0.26183921098709106,
0.19998778402805328,
-0.03077303245663643,
0.2510848939418793,
0.07993139326572418,
0.016892174258828163,
0.05753546953201294,
-0.09818626195192337,
-0.11058603972196579,
-0.31324678659439087,
-0.00434282049536705,
-0.15221133828163147,
-0.3459356725215912,
0.14371679723262787,
0.059594325721263885,
0.14884133636951447,
0.06756243109703064,
0.2856258451938629,
0.6215519309043884,
0.34704893827438354,
-0.11526288837194443,
0.13643164932727814,
0.058719538152217865,
-0.22138452529907227,
-0.24143913388252258,
-0.020820872858166695,
-0.05500040203332901,
0.0404542051255703,
-0.4513776898384094,
-0.2863811254501343,
0.10820093005895615,
-0.10519050806760788,
0.09117933362722397,
-0.22937333583831787,
0.11082262545824051,
-0.0266858097165823,
0.6001894474029541,
0.7154171466827393,
-0.2713156044483185,
0.07817181199789047,
0.3304648697376251,
0.07260429114103317,
-0.34571895003318787,
0.4756771922111511,
0.08520407974720001,
0.13212943077087402,
-0.057622361928224564,
-0.396837055683136,
0.1820664405822754,
-0.38011738657951355,
-0.17116215825080872,
0.20397421717643738,
-0.5321475267410278,
0.16839459538459778,
-0.09095210582017899,
-0.055526427924633026,
-0.37094515562057495,
0.020021768286824226,
0.2963106036186218,
0.4655568599700928,
0.03446798026561737,
0.23717808723449707,
-0.17417529225349426,
-0.07773016393184662,
0.2893904447555542,
-0.1731615960597992,
-0.3693116307258606,
-0.2701151669025421,
-0.010613588616251945,
-0.17328216135501862,
0.056780703365802765,
0.013177584856748581,
-0.40739691257476807,
0.04309285059571266,
-0.2719109356403351,
-0.16464754939079285,
-0.28500720858573914,
0.046643614768981934,
-0.2125973254442215,
-0.058667752891778946,
-0.34646669030189514,
-0.3343038260936737,
0.17123690247535706,
-0.06379195302724838,
0.2837934195995331,
-0.31552425026893616,
-0.1585674285888672,
0.19285030663013458,
0.00833495706319809,
-0.23998557031154633,
0.5741868615150452,
0.2506142258644104,
-0.02533869445323944,
0.06489785015583038,
0.35172727704048157,
0.38948336243629456,
-0.07242319732904434,
0.023375356569886208,
-0.12618185579776764,
0.253939688205719,
-0.06732700020074844,
-0.08393129706382751,
-0.10601679980754852,
-0.26386895775794983,
-0.14377789199352264,
-0.1017712727189064,
0.5019603967666626,
0.1218738853931427,
0.590939462184906,
0.2901533842086792,
0.05820629000663757,
-0.06445087492465973,
-0.2585403323173523,
-0.1919446736574173,
-0.46373245120048523,
-0.2635038197040558,
-0.3758358955383301,
0.08257977664470673,
-0.043832167983055115,
-0.28901010751724243,
0.24587661027908325,
0.4475729167461395,
0.14510782063007355,
0.016081850975751877,
-0.2310430109500885,
0.11973941326141357,
0.17330650985240936,
-0.20404227077960968,
0.7559657692909241,
0.19795002043247223,
0.16951534152030945,
-0.0935155376791954,
0.05726432800292969,
-0.042333148419857025,
-0.18957479298114777,
0.27606838941574097,
0.2820304036140442,
0.079554483294487,
-0.02713959850370884,
-0.16982011497020721,
-0.1431918889284134,
0.10303767025470734,
-0.033338144421577454,
0.2293054312467575,
-0.3285977840423584,
-0.08615013211965561,
-0.07723286747932434,
-0.1250094622373581,
-0.33749616146087646,
-0.6012633442878723,
-0.03178229555487633,
-0.23478981852531433,
-0.2417270541191101,
0.1579473465681076,
-0.08859377354383469,
-0.2108808159828186,
0.14174915850162506,
-0.1397169679403305,
0.13324028253555298,
-0.3738996684551239,
0.039971724152565,
0.1473178267478943,
-0.3808603584766388,
-0.0698835700750351,
0.025912106037139893,
0.05599702149629593,
0.034937307238578796,
0.2627149522304535,
0.32565441727638245,
-0.28088316321372986,
0.1503288298845291,
-0.33597153425216675,
0.17685151100158691,
-0.3270227313041687,
-0.2894212305545807,
0.22199642658233643,
-0.31017279624938965,
-0.004219421651214361,
-0.468950092792511,
0.3010498881340027,
-0.10614211112260818,
-0.10014098137617111,
-0.3176914155483246,
0.32188090682029724,
0.2116592824459076,
-0.1271352767944336,
-0.31906232237815857,
-0.4289039075374603,
-0.14181461930274963,
0.34559154510498047,
-0.07541974633932114,
0.29651549458503723,
0.09804361313581467,
-0.4208858907222748,
-0.029327282682061195,
-0.09281159192323685,
-0.11690046638250351,
0.04345416650176048,
0.1445828527212143,
-0.08969876915216446,
-0.41021353006362915,
0.15662725269794464,
0.052333902567625046,
-0.13682609796524048,
0.33396780490875244,
-0.17611552774906158,
-0.011461534537374973,
0.1888331174850464,
-0.013530704192817211,
-0.03493442386388779,
0.03572600707411766,
0.11508888006210327,
0.1559378206729889,
0.27365270256996155,
0.06651561707258224,
-0.07385827600955963,
-0.23240210115909576,
0.4348665773868561,
0.15245725214481354,
0.15153111517429352,
-0.09006552398204803,
0.024157391861081123,
-0.07993459701538086,
0.6646895408630371,
0.2682937681674957,
0.1996210813522339,
-0.1777934581041336,
-0.004738924093544483,
-0.3417833149433136,
0.07829805463552475,
-0.21145576238632202,
0.1659887135028839,
-0.003021791810169816,
-0.29930853843688965,
0.341092050075531,
0.030007073655724525,
-0.06149280071258545,
-0.2507540285587311,
-0.06884215772151947,
-0.0362500324845314,
-0.5644192099571228,
0.06861479580402374,
-0.18404830992221832,
0.21568116545677185,
-0.19991718232631683,
0.0524551086127758,
0.0038426248356699944,
0.06245642155408859,
-0.14635194838047028,
-0.15383100509643555,
-0.14873458445072174,
-0.07147359848022461,
-0.11421851068735123,
-0.6203206181526184,
-0.05381563678383827,
-0.04224313423037529,
0.28871452808380127,
-0.14281056821346283,
-0.021647240966558456,
-0.2228596806526184,
0.2955179810523987,
0.30176839232444763,
0.2860283851623535,
-0.09012620151042938,
-0.1666279286146164,
0.09333618730306625,
0.04214932769536972,
0.19225512444972992,
-0.19830714166164398,
0.0910092294216156,
0.029229849576950073,
0.07483012229204178,
0.03935945779085159,
-0.5721219182014465,
-0.2948223054409027,
0.588744580745697,
-0.24235455691814423,
-0.33407726883888245,
0.03839506581425667,
0.03843766078352928,
0.13238564133644104,
0.07342962920665741,
-0.040468115359544754,
0.10366427153348923,
0.12703469395637512,
0.1372135877609253,
0.08338845521211624,
-0.03285440802574158,
-0.2343682497739792,
0.08977660536766052,
0.1343218982219696,
0.021047260612249374,
-0.05372067540884018,
0.08779150992631912,
0.29639932513237,
0.26572954654693604,
-0.3124951124191284,
0.44037744402885437,
-0.400066077709198,
-0.0989203006029129,
0.009538134559988976,
-0.2170742154121399,
0.538526713848114,
0.33155718445777893,
0.13701176643371582,
0.4471999406814575,
0.005818749777972698,
0.0808025375008583,
-0.20520968735218048,
-0.06847010552883148,
0.27846354246139526,
-0.17185600101947784,
-0.40903061628341675,
-0.7786414623260498,
0.39444905519485474,
0.09553124755620956,
-0.19228196144104004,
0.22138802707195282,
0.13551382720470428,
-0.40848273038864136,
0.5755677223205566,
0.016211140900850296,
0.8848466277122498,
-0.07890192419290543,
0.2104569673538208,
-0.05240216851234436,
-0.2898176610469818,
0.674556314945221,
-0.09591908007860184,
0.13303448259830475,
-0.36648884415626526,
0.29457226395606995,
0.057935524731874466,
0.10396654158830643,
0.23142297565937042,
0.4899131655693054,
0.006773074623197317,
0.2321578562259674,
0.08442994207143784,
0.26291415095329285,
-0.3335981070995331,
0.3395187556743622,
0.14325371384620667,
-0.11598385125398636,
-0.08670655637979507,
-0.048195578157901764,
0.0014831115258857608,
-0.24703234434127808,
0.20888154208660126,
-0.199101984500885,
0.01662462204694748,
0.17032180726528168,
-0.25539764761924744,
-0.00694996165111661,
-0.12027224898338318,
0.21191957592964172,
-0.12011650949716568,
-0.4156666398048401,
0.39140889048576355,
0.17767105996608734,
0.2339615672826767,
-0.1650223433971405,
0.019225813448429108,
0.4578537344932556,
-0.04234394431114197,
0.09356594830751419,
-0.17171630263328552,
-0.012513748370110989,
0.3011680245399475,
0.05344686284661293,
0.027400951832532883,
0.031028084456920624,
0.01867331936955452,
-0.08838093280792236,
-0.2242787927389145,
0.2394067943096161,
0.44946640729904175,
-0.5152657628059387,
0.20778262615203857,
0.031566403806209564,
0.0019562779925763607,
-0.17893284559249878,
0.02122199907898903,
-0.21939095854759216,
-0.24939338862895966,
0.040107402950525284,
-0.17997559905052185,
-0.0684349536895752,
0.004961478989571333,
-0.31928500533103943,
0.1781563013792038,
0.007905484177172184,
0.3882559835910797,
-0.18149018287658691,
0.1604386419057846,
-0.23996275663375854,
0.1463245153427124,
0.15137897431850433,
-0.20615141093730927,
0.29052814841270447,
0.1530693769454956,
-0.2651846408843994,
0.13528481125831604,
-0.019382691010832787,
0.05809573829174042,
0.6687642931938171,
-0.18001708388328552,
0.03185360133647919,
-0.22082480788230896,
-0.040196772664785385,
-0.1035732701420784,
0.09732284396886826,
0.006829398684203625,
0.49609068036079407,
-0.12097829580307007,
0.40659332275390625,
-0.1664099544286728,
-0.09653322398662567,
0.20132772624492645,
0.2539377510547638,
-0.10842861980199814,
0.017031384631991386,
0.1527232527732849,
0.12926167249679565,
0.02038087695837021,
-0.05497075989842415,
0.17742344737052917,
-0.08827225118875504,
-0.3262881636619568,
0.11676829308271408,
0.09450916200876236,
0.2027484029531479,
-0.36953097581863403,
-0.141166552901268,
0.10343468189239502,
-0.15560424327850342,
0.20738081634044647,
0.06280748546123505,
0.260486900806427,
0.5012199878692627,
0.2707222104072571,
0.010650294832885265,
-0.37880581617355347,
0.21698950231075287,
-0.12480537593364716,
0.3370325565338135,
0.2525508403778076,
0.31090623140335083,
-0.21063508093357086,
0.07289387285709381,
0.13318678736686707,
-0.055774543434381485,
0.18610899150371552,
-0.2795480191707611,
-0.07307407259941101,
0.03606549650430679,
-0.09714625775814056,
-0.14056938886642456,
0.21551012992858887,
0.4737996459007263,
0.13721723854541779,
-0.0349685437977314,
0.22364668548107147,
0.11047764122486115,
-0.0722932443022728,
0.2131301313638687,
0.2800588309764862,
-0.1797780692577362,
0.09948057681322098,
0.5531476140022278,
0.11321622878313065,
0.262257844209671,
-0.4264288544654846,
-0.06307661533355713,
-0.10696768015623093,
-0.030634470283985138,
0.5049610733985901,
0.828404426574707,
0.21459491550922394,
-0.06918085366487503,
0.46372461318969727,
-0.18284380435943604,
0.2680802345275879,
0.4525597095489502,
-0.18141061067581177,
0.36137518286705017,
0.3433869481086731,
-0.17254148423671722,
0.5454279184341431,
0.10762057453393936,
-0.3695581257343292,
0.04664447903633118,
-0.05818091705441475,
-0.248765230178833,
-0.12223390489816666,
0.7737444639205933,
0.043878160417079926,
-0.33211201429367065,
0.17119194567203522,
0.31557562947273254,
0.1680949479341507,
-0.2501698434352875,
-0.13615261018276215,
0.11348205804824829,
-0.3541956841945648,
0.0006025631446391344,
-0.05430057644844055,
-0.22777622938156128,
0.35432329773902893,
0.08226676285266876,
0.3009105920791626,
-0.09902714192867279,
-0.06769774854183197,
0.2107917070388794,
0.47529464960098267,
-0.3517264723777771,
-0.1351252943277359,
-0.017433542758226395,
-0.29152190685272217,
0.15518058836460114,
-0.0719444528222084,
0.008162344805896282,
-0.13468031585216522,
-0.2549782693386078,
-0.2885669469833374,
0.246069073677063,
-0.10548307746648788,
0.02328447997570038,
-0.06977805495262146,
0.12184911221265793,
0.2911975085735321,
0.2118600606918335,
-0.023083319887518883,
-0.03540928289294243,
-0.2072150856256485,
0.2606799304485321,
-0.018993614241480827,
-0.05991294980049133,
0.5498870611190796,
0.23981600999832153,
-0.18786679208278656,
-0.025995628908276558,
0.22880105674266815,
-0.2921214699745178,
-0.017804067581892014,
0.35891613364219666,
-0.06609898060560226,
0.08894086629152298,
-0.1679060459136963,
-0.022722044959664345,
-0.0211720559746027,
0.485547810792923,
-0.22243903577327728,
-0.20367248356342316,
-0.2754066586494446,
-0.3702971339225769,
-0.022414501756429672,
-0.1403137594461441,
-0.12521357834339142,
-0.27419185638427734,
-0.13138259947299957,
0.16895204782485962,
-0.1570611596107483,
-0.1679462045431137,
0.16192841529846191,
0.04043981432914734,
0.4329409897327423,
0.3385252058506012,
-0.23166534304618835,
0.005767221096903086,
-0.02158740907907486,
0.14577606320381165,
0.17384907603263855,
0.13576985895633698,
-0.07442179322242737,
0.36563432216644287,
-0.2971503436565399,
0.1566159576177597,
-0.02288590371608734,
0.584936261177063,
0.13453155755996704,
0.0016775067197158933,
-0.020735984668135643,
0.22752948105335236,
0.029862824827432632,
0.03711685910820961,
0.04069647565484047,
0.012698493897914886,
-0.5554836392402649,
0.41142797470092773,
0.06802868098020554,
0.1626550257205963,
-0.27481985092163086,
0.4120602309703827,
-0.14148400723934174,
0.003723665839061141,
-0.23200534284114838,
0.10678362846374512,
-0.013923656195402145,
0.19690798223018646,
-0.023011675104498863,
0.2964519262313843,
0.3759611248970032,
0.2861541509628296,
-0.11745959520339966,
-0.06586791574954987,
-0.13472864031791687,
-0.37831565737724304,
0.16204316914081573,
-0.03662749379873276,
-0.09991863369941711,
0.08974155783653259,
0.3389492928981781,
0.19934126734733582,
0.11615023016929626,
-0.765256941318512,
-0.2747170925140381,
0.1887984275817871,
-0.24032434821128845,
-0.024293990805745125,
0.14281323552131653,
0.2829596698284149,
-0.1662369668483734,
0.01470612920820713,
-0.13825169205665588,
0.279705286026001,
-0.06312909722328186,
0.030536295846104622,
-0.14354076981544495
] |
https://github.com/huggingface/datasets/issues/179 | [Feature request] separate split name and split instructions | Thanks for the tip! I ended up setting up three different versions of the dataset with their own configs.
for the named splits, I was trying with `nlp.Split("train-stage1")`, which fails. Changing to `nlp.Split("train_stage1")` works :) I looked for examples of what works in the code comments, it may be worth adding some examples of valid/invalid names in there? | Currently, the name of an nlp.NamedSplit is parsed in arrow_reader.py and used as the instruction.
This makes it impossible to have several training sets, which can occur when:
- A dataset corresponds to a collection of sub-datasets
- A dataset was built in stages, adding new examples at each stage
Would it be possible to have two separate fields in the Split class, a name /instruction and a unique ID that is used as the key in the builder's split_dict ? | 58 | [Feature request] separate split name and split instructions
Currently, the name of an nlp.NamedSplit is parsed in arrow_reader.py and used as the instruction.
This makes it impossible to have several training sets, which can occur when:
- A dataset corresponds to a collection of sub-datasets
- A dataset was built in stages, adding new examples at each stage
Would it be possible to have two separate fields in the Split class, a name /instruction and a unique ID that is used as the key in the builder's split_dict ?
Thanks for the tip! I ended up setting up three different versions of the dataset with their own configs.
for the named splits, I was trying with `nlp.Split("train-stage1")`, which fails. Changing to `nlp.Split("train_stage1")` works :) I looked for examples of what works in the code comments, it may be worth adding some examples of valid/invalid names in there? | [
0.10458503663539886,
-0.09824613481760025,
0.027599284425377846,
0.2224782407283783,
0.11074420809745789,
0.11211378127336502,
0.5969956517219543,
0.23253028094768524,
-0.03582202270627022,
0.11198779940605164,
0.01879107765853405,
0.4395620822906494,
-0.21577922999858856,
0.2508060336112976,
-0.04807354137301445,
-0.37081459164619446,
-0.03147456422448158,
0.09958340227603912,
0.3009320795536041,
0.11061368882656097,
0.07535476237535477,
0.2413926124572754,
-0.04599401354789734,
0.27223193645477295,
-0.2111959457397461,
-0.18311923742294312,
-0.23876751959323883,
-0.15462426841259003,
0.028415407985448837,
-0.4011644124984741,
0.19092652201652527,
0.1710231900215149,
-0.29777076840400696,
0.11503423750400543,
-0.00012200133642181754,
-0.14937646687030792,
0.26977992057800293,
-0.00883525051176548,
-0.1772000789642334,
-0.23157063126564026,
-0.5108582973480225,
-0.47503551840782166,
0.4412984549999237,
-0.6071304082870483,
0.006469752173870802,
-0.16628843545913696,
0.00986290629953146,
0.23457162082195282,
0.5989471673965454,
-0.14206406474113464,
0.07940192520618439,
-0.39332571625709534,
0.004251088015735149,
0.0590033233165741,
0.29850417375564575,
0.25531521439552307,
-0.3581681549549103,
-0.3896653652191162,
-0.13251154124736786,
0.019385214895009995,
0.013584301806986332,
0.1901758909225464,
0.04804079234600067,
-0.15089280903339386,
0.05642269179224968,
0.18820179998874664,
-0.24059109389781952,
-0.10517442226409912,
-0.0314754843711853,
0.3205355405807495,
-0.14700555801391602,
-0.1331748515367508,
-0.22489918768405914,
-0.7789210081100464,
0.12296422570943832,
-0.44449758529663086,
0.023179342970252037,
0.3083987832069397,
-0.08555497974157333,
0.0007133097387850285,
0.15985225141048431,
-0.2577967643737793,
-0.15868929028511047,
0.07997331768274307,
0.187296062707901,
0.5755341053009033,
0.04268646985292435,
0.21303322911262512,
0.13065476715564728,
0.0514659658074379,
0.24592845141887665,
0.09748350828886032,
0.03707437962293625,
0.14819641411304474,
-0.240221306681633,
-0.3462635576725006,
-0.3629278838634491,
-0.06122719496488571,
-0.24780479073524475,
0.07276277244091034,
0.1947961151599884,
-0.09304298460483551,
0.03791997209191322,
0.10942403972148895,
0.3325088620185852,
0.030752351507544518,
0.36637771129608154,
0.5928642749786377,
0.09704628586769104,
0.07390140742063522,
-0.3302590548992157,
-0.018299609422683716,
-0.0558229498565197,
0.10930285602807999,
-0.23530174791812897,
0.08426590263843536,
-0.10003924369812012,
0.16355445981025696,
-0.04588336497545242,
-0.25977033376693726,
-0.09913969784975052,
-0.2428596019744873,
0.2244429886341095,
0.03780536353588104,
0.11807239800691605,
0.039067432284355164,
-0.3129239082336426,
0.20334015786647797,
-0.12280908972024918,
-0.4388543963432312,
-0.08893830329179764,
0.09969503432512283,
-0.30024784803390503,
0.22964981198310852,
0.10692691057920456,
0.14246748387813568,
0.18240630626678467,
0.008428450673818588,
-0.14765790104866028,
-0.24537293612957,
0.15634974837303162,
0.006644109264016151,
0.2317558079957962,
0.04239441081881523,
0.0324648879468441,
0.05623086169362068,
-0.037742093205451965,
-0.07236965000629425,
-0.3021255135536194,
0.017727509140968323,
-0.07855930924415588,
-0.3099415898323059,
0.18636268377304077,
0.04043269157409668,
0.14403407275676727,
0.061936117708683014,
0.3620258569717407,
0.6019593477249146,
0.4055766761302948,
-0.16478529572486877,
0.10734276473522186,
0.037772390991449356,
-0.25963088870048523,
-0.19345623254776,
-0.04369606077671051,
-0.013956135138869286,
-0.010729662142693996,
-0.44869235157966614,
-0.38156476616859436,
0.16157037019729614,
-0.12807022035121918,
0.07277079671621323,
-0.14766012132167816,
0.058448079973459244,
-0.002875157166272402,
0.6331421732902527,
0.5671976804733276,
-0.2285178154706955,
0.0892338752746582,
0.33646753430366516,
0.11590448766946793,
-0.3352683484554291,
0.48383790254592896,
0.05015707388520241,
0.10745836049318314,
-0.10666823387145996,
-0.42390763759613037,
0.18046174943447113,
-0.5068804025650024,
-0.2254238724708557,
0.17374908924102783,
-0.5565367341041565,
0.17674870789051056,
-0.07062932103872299,
-0.03899882733821869,
-0.3304854929447174,
-0.0028007179498672485,
0.2975159287452698,
0.48496320843696594,
0.034014150500297546,
0.2780067026615143,
-0.19330035150051117,
-0.06715782731771469,
0.2642986476421356,
-0.1216098740696907,
-0.35723677277565,
-0.3117901682853699,
-0.04289237782359123,
-0.12128956615924835,
0.03108038380742073,
-0.037856172770261765,
-0.38954946398735046,
-0.012586669996380806,
-0.2790812849998474,
-0.1604304313659668,
-0.2774960696697235,
0.031024886295199394,
-0.2263088822364807,
-0.061904218047857285,
-0.33485183119773865,
-0.3435288071632385,
0.1144685447216034,
-0.08758199214935303,
0.26570925116539,
-0.3278537690639496,
-0.16811059415340424,
0.22280524671077728,
-0.02559535577893257,
-0.1821068525314331,
0.6047658920288086,
0.28619974851608276,
-0.008092588745057583,
0.06207441911101341,
0.327442467212677,
0.391190767288208,
-0.030648430809378624,
0.005734299309551716,
-0.12919305264949799,
0.18323718011379242,
-0.12301718443632126,
-0.052457865327596664,
-0.04394245892763138,
-0.27993229031562805,
-0.20842532813549042,
-0.20216161012649536,
0.5459466576576233,
0.02758193016052246,
0.6292760372161865,
0.29110652208328247,
0.049969371408224106,
-0.012831488624215126,
-0.3354654610157013,
-0.1722605973482132,
-0.5019677877426147,
-0.21168507635593414,
-0.41578900814056396,
0.11526751518249512,
-0.13372935354709625,
-0.277699738740921,
0.2355119287967682,
0.4305519759654999,
0.17799261212348938,
0.03364662081003189,
-0.23415634036064148,
0.13413700461387634,
0.1435285359621048,
-0.19840024411678314,
0.6893719434738159,
0.1891097128391266,
0.15224939584732056,
-0.04077427089214325,
0.08033344894647598,
0.033018387854099274,
-0.18132717907428741,
0.2855433523654938,
0.25729379057884216,
0.08319481462240219,
-0.0017402502708137035,
-0.16712534427642822,
-0.13735830783843994,
0.05301697179675102,
0.06068041920661926,
0.22533860802650452,
-0.33681824803352356,
-0.05381312966346741,
-0.07482294738292694,
-0.1295626312494278,
-0.31246498227119446,
-0.5548499226570129,
-0.03342391178011894,
-0.1863943487405777,
-0.22623001039028168,
0.20903994143009186,
0.014330345205962658,
-0.21730944514274597,
0.15765009820461273,
-0.15921010076999664,
0.16644985973834991,
-0.41059428453445435,
0.08151478320360184,
0.050145041197538376,
-0.41217389702796936,
-0.036571111530065536,
0.02297835610806942,
0.06295411288738251,
0.01340650487691164,
0.28876858949661255,
0.36025896668434143,
-0.2948746681213379,
0.18425598740577698,
-0.37269893288612366,
0.18451955914497375,
-0.3997817933559418,
-0.2675517201423645,
0.22958476841449738,
-0.30351734161376953,
0.014626645483076572,
-0.42857199907302856,
0.3069126009941101,
-0.16745899617671967,
-0.1307963877916336,
-0.3343505263328552,
0.3282942473888397,
0.19106096029281616,
-0.17773844301700592,
-0.31340286135673523,
-0.40244075655937195,
-0.14577093720436096,
0.3905414938926697,
-0.06979198753833771,
0.275059312582016,
0.07240861654281616,
-0.47120168805122375,
-0.028921015560626984,
-0.0028673801571130753,
-0.12118414044380188,
0.0688781589269638,
0.22075915336608887,
-0.07444760948419571,
-0.4078604280948639,
0.1298803985118866,
0.08459174633026123,
-0.12469162791967392,
0.36802560091018677,
-0.24733638763427734,
-0.06267568469047546,
0.2727818489074707,
0.051286887377500534,
-0.06166435033082962,
0.1613778918981552,
0.0468614436686039,
0.16062426567077637,
0.29216834902763367,
0.06726684421300888,
-0.17208799719810486,
-0.24137750267982483,
0.3609781563282013,
0.12154132127761841,
0.1340133100748062,
-0.07184949517250061,
0.09102027863264084,
-0.05060441419482231,
0.6642805337905884,
0.29654571413993835,
0.2599334120750427,
-0.15238559246063232,
0.06831364333629608,
-0.3416397273540497,
0.0813865140080452,
-0.22828562557697296,
0.1414753943681717,
-0.05142045021057129,
-0.3744942247867584,
0.3664928674697876,
0.03204843029379845,
-0.1365581750869751,
-0.26294854283332825,
-0.012270881794393063,
-0.0825326070189476,
-0.5328510403633118,
0.008546442724764347,
-0.1830296516418457,
0.2694476246833801,
-0.1307053118944168,
0.06471725553274155,
0.032200947403907776,
-0.03419889137148857,
-0.14848773181438446,
-0.19269715249538422,
-0.09611956030130386,
-0.1442139446735382,
-0.1351078301668167,
-0.5458650588989258,
-0.05232827365398407,
-0.013712148182094097,
0.2454078644514084,
-0.1310095489025116,
-0.0434127151966095,
-0.19963517785072327,
0.2979270815849304,
0.2764438986778259,
0.2861582934856415,
-0.0740295946598053,
-0.1080959364771843,
0.14678597450256348,
0.046864598989486694,
0.19412049651145935,
-0.1502498984336853,
0.07547231763601303,
0.025733284652233124,
0.04000810161232948,
0.021056868135929108,
-0.5988478064537048,
-0.27710771560668945,
0.5790035128593445,
-0.21796877682209015,
-0.3166865110397339,
0.028383495286107063,
0.05465560033917427,
0.1528550535440445,
0.08562375605106354,
-0.02849876508116722,
0.12638455629348755,
0.10292917490005493,
0.0625978633761406,
0.131519615650177,
-0.03761422261595726,
-0.1843014806509018,
0.12430398911237717,
0.1284984052181244,
0.00018779364472720772,
-0.08899038285017014,
0.1555132269859314,
0.23965628445148468,
0.2841663360595703,
-0.32764962315559387,
0.49771419167518616,
-0.363668829202652,
-0.10032572597265244,
0.021688221022486687,
-0.21436485648155212,
0.5283656120300293,
0.4158989489078522,
0.14213882386684418,
0.38511332869529724,
0.04732183739542961,
0.047360680997371674,
-0.19367416203022003,
-0.11665058135986328,
0.32908570766448975,
-0.2601209282875061,
-0.4622156620025635,
-0.7009155750274658,
0.4129932224750519,
0.0718451514840126,
-0.22511838376522064,
0.2465713620185852,
0.15709926187992096,
-0.37633752822875977,
0.5711109042167664,
-0.01972142979502678,
0.8757337927818298,
0.0014641567831858993,
0.19628098607063293,
0.01991477608680725,
-0.2845609486103058,
0.6315008997917175,
-0.01509584579616785,
0.10312221944332123,
-0.3777364492416382,
0.3019935190677643,
0.06101781129837036,
0.08488953113555908,
0.2285563200712204,
0.5355206727981567,
0.013650733977556229,
0.18368692696094513,
0.06374097615480423,
0.27864834666252136,
-0.2928549647331238,
0.33803319931030273,
0.20744073390960693,
-0.08355415612459183,
-0.14133737981319427,
-0.04221641644835472,
0.02688756212592125,
-0.25858765840530396,
0.1981574445962906,
-0.18899035453796387,
-0.02284952625632286,
0.14109393954277039,
-0.2769813537597656,
0.06596162170171738,
-0.004031647462397814,
0.11964194476604462,
-0.12575943768024445,
-0.44830775260925293,
0.43208828568458557,
0.1650523990392685,
0.32499927282333374,
-0.18011316657066345,
-0.03807511553168297,
0.471480131149292,
-0.058188989758491516,
0.09149448573589325,
-0.16750414669513702,
0.02509329654276371,
0.2214224934577942,
0.029511284083127975,
0.10628629475831985,
0.026310840621590614,
-0.02527465857565403,
-0.06378037482500076,
-0.2644970118999481,
0.21506069600582123,
0.4529539942741394,
-0.5559496283531189,
0.17467345297336578,
-0.01298394612967968,
0.052493371069431305,
-0.2350744903087616,
0.01745951920747757,
-0.23933294415473938,
-0.21969915926456451,
0.016379496082663536,
-0.18049436807632446,
-0.04825228452682495,
-0.02668444626033306,
-0.2955884039402008,
0.23804031312465668,
-0.015308116562664509,
0.4281604290008545,
-0.11671429872512817,
0.16510877013206482,
-0.23216113448143005,
0.07606164366006851,
0.17264467477798462,
-0.2626328766345978,
0.28448686003685,
0.11356735229492188,
-0.27455300092697144,
0.1506139039993286,
-0.015604402869939804,
0.05226319655776024,
0.6398311257362366,
-0.15392349660396576,
0.015465147793293,
-0.20867978036403656,
0.004173132590949535,
-0.06663259863853455,
0.06332922726869583,
-0.045188065618276596,
0.4669845998287201,
-0.19155891239643097,
0.4138610064983368,
-0.13755100965499878,
-0.01859297975897789,
0.2807844579219818,
0.26239317655563354,
-0.15228065848350525,
0.009632370434701443,
0.19519418478012085,
0.07528966665267944,
0.005358508322387934,
-0.006513004656881094,
0.20427751541137695,
-0.06048782169818878,
-0.31543099880218506,
0.12557701766490936,
0.13687163591384888,
0.19400665163993835,
-0.3965693712234497,
-0.16864915192127228,
0.07181933522224426,
-0.1536898910999298,
0.17872698605060577,
0.06687228381633759,
0.28282567858695984,
0.4819811284542084,
0.3057691752910614,
0.11159995198249817,
-0.36444994807243347,
0.18410398066043854,
-0.12273823469877243,
0.3808996379375458,
0.2149306684732437,
0.27629393339157104,
-0.16513992846012115,
0.09467706829309464,
0.10485759377479553,
-0.04907878488302231,
0.19031277298927307,
-0.3088620901107788,
0.013765617273747921,
0.03284564986824989,
-0.030746977776288986,
-0.14969120919704437,
0.25887104868888855,
0.5672736167907715,
0.1264316290616989,
-0.0025875535793602467,
0.22976264357566833,
0.08614969253540039,
-0.09101282805204391,
0.25636476278305054,
0.28159084916114807,
-0.1594066172838211,
0.08424215763807297,
0.5541465878486633,
0.12478668987751007,
0.2655099928379059,
-0.4000854194164276,
-0.03358297422528267,
-0.05661659315228462,
-0.044363029301166534,
0.501385509967804,
0.8824549317359924,
0.20604345202445984,
-0.019955584779381752,
0.4297122359275818,
-0.1907728910446167,
0.2422768771648407,
0.4915965497493744,
-0.1730971485376358,
0.3304673433303833,
0.3147026300430298,
-0.12262701243162155,
0.5907779335975647,
0.19488142430782318,
-0.40433797240257263,
-0.003066928358748555,
-0.016770387068390846,
-0.23411890864372253,
-0.1521468162536621,
0.7617435455322266,
-0.011582126840949059,
-0.32540491223335266,
0.09411877393722534,
0.26180583238601685,
0.1801459640264511,
-0.20263704657554626,
-0.16221727430820465,
0.055055685341358185,
-0.35550782084465027,
0.008618003688752651,
-0.08892423659563065,
-0.206252321600914,
0.35118433833122253,
0.0373205691576004,
0.26485714316368103,
-0.15261177718639374,
-0.032471898943185806,
0.17793378233909607,
0.5029487609863281,
-0.31820863485336304,
-0.10205788910388947,
-0.0024601786863058805,
-0.2936455011367798,
0.19719001650810242,
-0.09273358434438705,
-0.005650539416819811,
-0.14058050513267517,
-0.32904762029647827,
-0.35682880878448486,
0.20284217596054077,
-0.1465296894311905,
-0.00009966111974790692,
0.03662054240703583,
0.12525337934494019,
0.3037355840206146,
0.18481440842151642,
-0.04838895797729492,
-0.026214923709630966,
-0.15178020298480988,
0.2818923890590668,
-0.07489319145679474,
-0.04711452126502991,
0.6482115387916565,
0.13582082092761993,
-0.18381637334823608,
0.02307545207440853,
0.17055052518844604,
-0.23164071142673492,
-0.06651804596185684,
0.3410789668560028,
-0.04825194925069809,
0.11722412705421448,
-0.1129508689045906,
-0.03360508009791374,
-0.034838706254959106,
0.40514278411865234,
-0.2068142294883728,
-0.2867162823677063,
-0.26146507263183594,
-0.4266860783100128,
-0.08076170086860657,
-0.07397931814193726,
-0.1493707150220871,
-0.24868972599506378,
-0.0993378534913063,
0.13811615109443665,
-0.08726971596479416,
-0.16104353964328766,
0.11898617446422577,
-0.07627561688423157,
0.39194750785827637,
0.36234721541404724,
-0.22487066686153412,
0.006812672130763531,
-0.0320691280066967,
0.1607150137424469,
0.12720412015914917,
0.11123872548341751,
-0.1088414117693901,
0.3447793424129486,
-0.32984739542007446,
0.17180922627449036,
-0.07115096598863602,
0.5625971555709839,
0.20206759870052338,
-0.059335220605134964,
0.012389618903398514,
0.23775669932365417,
0.029855914413928986,
-0.06352163851261139,
0.035342250019311905,
-0.002857745159417391,
-0.5393228530883789,
0.5002479553222656,
0.01725945435464382,
0.17635037004947662,
-0.23865655064582825,
0.44471845030784607,
-0.14618812501430511,
-0.0446426086127758,
-0.2594882845878601,
0.1652461588382721,
-0.06921348720788956,
0.22428317368030548,
-0.060415033251047134,
0.3944740891456604,
0.4205292761325836,
0.26409462094306946,
-0.12344460934400558,
-0.025244353339076042,
-0.21176902949810028,
-0.3554520905017853,
0.23516441881656647,
-0.07453923672437668,
-0.13716068863868713,
0.10333868861198425,
0.3187499940395355,
0.1716342568397522,
0.016238758340477943,
-0.7228702306747437,
-0.26910263299942017,
0.16507181525230408,
-0.2762206196784973,
0.020327763631939888,
0.03865715488791466,
0.23195217549800873,
-0.23970811069011688,
0.013042955659329891,
-0.04580787196755409,
0.29867565631866455,
-0.07945644110441208,
0.06468213349580765,
-0.11545087397098541
] |
https://github.com/huggingface/datasets/issues/168 | Loading 'wikitext' dataset fails | Hi, make sure you have a recent version of pyarrow.
Are you using it in Google Colab? In this case, this error is probably the same as #128 | Loading the 'wikitext' dataset fails with Attribute error:
Code to reproduce (From example notebook):
import nlp
wikitext_dataset = nlp.load_dataset('wikitext')
Error:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-17-d5d9df94b13c> in <module>()
11
12 # Load a dataset and print the first examples in the training set
---> 13 wikitext_dataset = nlp.load_dataset('wikitext')
14 print(wikitext_dataset['train'][0])
6 frames
/usr/local/lib/python3.6/dist-packages/nlp/load.py in load_dataset(path, name, version, data_dir, data_files, split, cache_dir, download_config, download_mode, ignore_verifications, save_infos, **config_kwargs)
518 download_mode=download_mode,
519 ignore_verifications=ignore_verifications,
--> 520 save_infos=save_infos,
521 )
522
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in download_and_prepare(self, download_config, download_mode, ignore_verifications, save_infos, dl_manager, **download_and_prepare_kwargs)
363 verify_infos = not save_infos and not ignore_verifications
364 self._download_and_prepare(
--> 365 dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
366 )
367 # Sync info
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in _download_and_prepare(self, dl_manager, verify_infos, **prepare_split_kwargs)
416 try:
417 # Prepare split will record examples associated to the split
--> 418 self._prepare_split(split_generator, **prepare_split_kwargs)
419 except OSError:
420 raise OSError("Cannot find data file. " + (self.MANUAL_DOWNLOAD_INSTRUCTIONS or ""))
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in _prepare_split(self, split_generator)
594 example = self.info.features.encode_example(record)
595 writer.write(example)
--> 596 num_examples, num_bytes = writer.finalize()
597
598 assert num_examples == num_examples, f"Expected to write {split_info.num_examples} but wrote {num_examples}"
/usr/local/lib/python3.6/dist-packages/nlp/arrow_writer.py in finalize(self, close_stream)
173 def finalize(self, close_stream=True):
174 if self.pa_writer is not None:
--> 175 self.write_on_file()
176 self.pa_writer.close()
177 if close_stream:
/usr/local/lib/python3.6/dist-packages/nlp/arrow_writer.py in write_on_file(self)
124 else:
125 # All good
--> 126 self._write_array_on_file(pa_array)
127 self.current_rows = []
128
/usr/local/lib/python3.6/dist-packages/nlp/arrow_writer.py in _write_array_on_file(self, pa_array)
93 def _write_array_on_file(self, pa_array):
94 """Write a PyArrow Array"""
---> 95 pa_batch = pa.RecordBatch.from_struct_array(pa_array)
96 self._num_bytes += pa_array.nbytes
97 self.pa_writer.write_batch(pa_batch)
AttributeError: type object 'pyarrow.lib.RecordBatch' has no attribute 'from_struct_array' | 28 | Loading 'wikitext' dataset fails
Loading the 'wikitext' dataset fails with Attribute error:
Code to reproduce (From example notebook):
import nlp
wikitext_dataset = nlp.load_dataset('wikitext')
Error:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-17-d5d9df94b13c> in <module>()
11
12 # Load a dataset and print the first examples in the training set
---> 13 wikitext_dataset = nlp.load_dataset('wikitext')
14 print(wikitext_dataset['train'][0])
6 frames
/usr/local/lib/python3.6/dist-packages/nlp/load.py in load_dataset(path, name, version, data_dir, data_files, split, cache_dir, download_config, download_mode, ignore_verifications, save_infos, **config_kwargs)
518 download_mode=download_mode,
519 ignore_verifications=ignore_verifications,
--> 520 save_infos=save_infos,
521 )
522
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in download_and_prepare(self, download_config, download_mode, ignore_verifications, save_infos, dl_manager, **download_and_prepare_kwargs)
363 verify_infos = not save_infos and not ignore_verifications
364 self._download_and_prepare(
--> 365 dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
366 )
367 # Sync info
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in _download_and_prepare(self, dl_manager, verify_infos, **prepare_split_kwargs)
416 try:
417 # Prepare split will record examples associated to the split
--> 418 self._prepare_split(split_generator, **prepare_split_kwargs)
419 except OSError:
420 raise OSError("Cannot find data file. " + (self.MANUAL_DOWNLOAD_INSTRUCTIONS or ""))
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in _prepare_split(self, split_generator)
594 example = self.info.features.encode_example(record)
595 writer.write(example)
--> 596 num_examples, num_bytes = writer.finalize()
597
598 assert num_examples == num_examples, f"Expected to write {split_info.num_examples} but wrote {num_examples}"
/usr/local/lib/python3.6/dist-packages/nlp/arrow_writer.py in finalize(self, close_stream)
173 def finalize(self, close_stream=True):
174 if self.pa_writer is not None:
--> 175 self.write_on_file()
176 self.pa_writer.close()
177 if close_stream:
/usr/local/lib/python3.6/dist-packages/nlp/arrow_writer.py in write_on_file(self)
124 else:
125 # All good
--> 126 self._write_array_on_file(pa_array)
127 self.current_rows = []
128
/usr/local/lib/python3.6/dist-packages/nlp/arrow_writer.py in _write_array_on_file(self, pa_array)
93 def _write_array_on_file(self, pa_array):
94 """Write a PyArrow Array"""
---> 95 pa_batch = pa.RecordBatch.from_struct_array(pa_array)
96 self._num_bytes += pa_array.nbytes
97 self.pa_writer.write_batch(pa_batch)
AttributeError: type object 'pyarrow.lib.RecordBatch' has no attribute 'from_struct_array'
Hi, make sure you have a recent version of pyarrow.
Are you using it in Google Colab? In this case, this error is probably the same as #128 | [
-0.11933788657188416,
0.0886276513338089,
-0.008977650664746761,
0.21019726991653442,
0.3692685067653656,
0.026060238480567932,
0.44878119230270386,
0.41310203075408936,
0.43308186531066895,
0.012566424906253815,
0.12384431064128876,
0.39542996883392334,
-0.1505494862794876,
0.021962128579616547,
0.12090560793876648,
-0.4289896488189697,
-0.033739328384399414,
0.36367329955101013,
-0.04146643355488777,
0.06297355890274048,
-0.1876838058233261,
0.10851654410362244,
-0.2651917040348053,
0.255005806684494,
-0.30572274327278137,
-0.05702603608369827,
0.21592095494270325,
0.08206319063901901,
-0.07891858369112015,
-0.55900639295578,
0.2770833671092987,
-0.21704953908920288,
0.0644511878490448,
0.11474639922380447,
-0.00010995574848493561,
0.20530641078948975,
0.33269748091697693,
0.03021298721432686,
-0.5799461603164673,
-0.18957747519016266,
-0.4773319959640503,
-0.11893901973962784,
0.29743248224258423,
-0.24970698356628418,
-0.028513457626104355,
0.05389736220240593,
0.03591109812259674,
-0.07441242039203644,
0.2967468500137329,
0.5315061807632446,
0.23788878321647644,
0.5236918926239014,
0.15454885363578796,
0.034493979066610336,
-0.07856866717338562,
-0.17057105898857117,
-0.08211525529623032,
0.22396785020828247,
0.07387740910053253,
-0.39154455065727234,
-0.013374139554798603,
0.12692393362522125,
0.15117257833480835,
0.26370176672935486,
0.5083714723587036,
0.014393548481166363,
0.2405228316783905,
-0.15062619745731354,
0.014946400187909603,
0.07640086859464645,
0.3353831470012665,
-0.16493351757526398,
-0.27160072326660156,
-0.2243598848581314,
0.2476663589477539,
-0.33475664258003235,
0.23653079569339752,
-0.036676887422800064,
-0.16220447421073914,
-0.008197000250220299,
-0.2692282497882843,
-0.028147514909505844,
-0.24182115495204926,
0.35268786549568176,
-0.05821506306529045,
0.4996490478515625,
0.04358331486582756,
0.14274749159812927,
-0.058065660297870636,
-0.07545804977416992,
0.14037638902664185,
-0.08709083497524261,
-0.12930019199848175,
0.2578132152557373,
-0.38315585255622864,
-0.03646787628531456,
-0.034946393221616745,
-0.1169760525226593,
-0.031624484807252884,
0.2635209858417511,
0.2199900895357132,
-0.2248735874891281,
0.3238379955291748,
0.3154149651527405,
0.22298957407474518,
0.42046910524368286,
0.07276459038257599,
0.06359180808067322,
-0.08280493319034576,
0.13602527976036072,
-0.23372802138328552,
-0.15548524260520935,
-0.15553590655326843,
-0.17655469477176666,
0.09289750456809998,
-0.15460263192653656,
0.22602041065692902,
-0.07111654430627823,
-0.49847400188446045,
0.11472059786319733,
-0.1434047520160675,
0.04629036784172058,
0.20511473715305328,
0.17948518693447113,
-0.12763333320617676,
0.23223552107810974,
0.14412418007850647,
0.2825672924518585,
-0.2519769072532654,
-0.04313638061285019,
-0.16628925502300262,
0.24921317398548126,
-0.23438338935375214,
-0.18224935233592987,
0.24275411665439606,
0.19340045750141144,
0.3994779884815216,
-0.10116773843765259,
0.11126504093408585,
-0.20175516605377197,
0.22737497091293335,
-0.04551902040839195,
-0.12887892127037048,
0.25665295124053955,
-0.21606145799160004,
0.15489806234836578,
0.20159101486206055,
-0.2824234366416931,
-0.08482398837804794,
-0.10174469649791718,
-0.27263587713241577,
-0.3080922067165375,
-0.12625131011009216,
0.281415194272995,
0.14738169312477112,
-0.24296516180038452,
-0.15226291120052338,
-0.06118733063340187,
0.14749260246753693,
-0.3687240481376648,
-0.11810583621263504,
-0.46125921607017517,
-0.22063837945461273,
-0.023005429655313492,
0.3976428508758545,
0.20490917563438416,
0.131386861205101,
-0.10897225141525269,
-0.11542121320962906,
0.07785490155220032,
-0.03179694712162018,
0.12271356582641602,
-0.43835729360580444,
0.5421618223190308,
-0.06105572730302811,
0.11886267364025116,
0.6413458585739136,
-0.34278684854507446,
-0.4578539729118347,
0.12356847524642944,
-0.014279641211032867,
0.2093287706375122,
-0.22536881268024445,
-0.016720760613679886,
-0.013226832263171673,
-0.1845516413450241,
0.2123139649629593,
0.6192137002944946,
-0.015043232589960098,
0.0824793204665184,
-0.12689664959907532,
-0.01554853655397892,
0.5002202987670898,
0.10985670238733292,
0.09252531081438065,
-0.007928650826215744,
-0.04170486703515053,
0.4966488778591156,
-0.0013133209431543946,
-0.12597094476222992,
-0.014860233291983604,
-0.013630262576043606,
-0.06468662619590759,
-0.104604572057724,
-0.21782620251178741,
-0.073886938393116,
-0.27766478061676025,
0.3043038845062256,
-0.11754702031612396,
-0.0585317425429821,
-0.04715042933821678,
0.1061868816614151,
-0.34911301732063293,
0.16848920285701752,
-0.423268586397171,
-0.37731868028640747,
0.17209294438362122,
0.1551334410905838,
-0.01082319114357233,
0.2384408712387085,
-0.20474199950695038,
0.21943683922290802,
-0.27402806282043457,
0.05550078675150871,
-0.21892870962619781,
0.1612894982099533,
-0.055882859975099564,
-0.0424220934510231,
-0.009479359723627567,
0.30879732966423035,
0.03833145648241043,
-0.017996225506067276,
-0.3062887489795685,
0.286030650138855,
-0.1254843771457672,
0.08035652339458466,
-0.03226462006568909,
-0.14337000250816345,
0.06880593299865723,
-0.07154339551925659,
-0.17518380284309387,
0.20819160342216492,
0.3319510519504547,
-0.18012623488903046,
-0.04314308613538742,
0.11287619918584824,
0.12721261382102966,
0.08142238110303879,
0.09886393696069717,
0.16397275030612946,
0.1439925581216812,
-0.06582631915807724,
0.10127968341112137,
0.07743124663829803,
0.2337101697921753,
-0.09498753398656845,
0.20471026003360748,
-0.15645122528076172,
-0.16714543104171753,
-0.11880633234977722,
0.31311914324760437,
0.17005811631679535,
0.1674172282218933,
0.08148688822984695,
-0.27525240182876587,
-0.09487471729516983,
0.07855787128210068,
0.1460483968257904,
0.4009645879268646,
-0.051832713186740875,
-0.10834138095378876,
-0.05257111415266991,
-0.4165973961353302,
0.07112560421228409,
0.1707080900669098,
0.03662936016917229,
0.20912867784500122,
0.3018558621406555,
0.04131574556231499,
0.08731992542743683,
-0.29526659846305847,
-0.35701724886894226,
0.2824332118034363,
0.44053006172180176,
-0.22848272323608398,
0.2078799307346344,
-0.0305313840508461,
-0.0025109166745096445,
-0.06784793734550476,
-0.33363422751426697,
-0.18862943351268768,
-0.34299421310424805,
-0.12133592367172241,
0.4337747097015381,
0.024118667468428612,
0.1810036450624466,
-0.3977627158164978,
-0.022050168365240097,
0.19475045800209045,
-0.1147860512137413,
-0.03137960657477379,
-0.31579849123954773,
-0.2693284749984741,
0.045942142605781555,
0.3818604350090027,
0.09107596427202225,
0.3510979115962982,
-0.06677016615867615,
-0.09253522008657455,
-0.007033964619040489,
-0.05841490253806114,
-0.07556762546300888,
-0.18372154235839844,
0.24404771625995636,
0.009521574713289738,
0.2855835556983948,
-0.17702993750572205,
-0.5220329761505127,
0.5017470121383667,
-0.25570252537727356,
-0.05778523162007332,
0.31510716676712036,
0.27111291885375977,
-0.24919019639492035,
-0.0794772058725357,
-0.374688059091568,
-0.1264500468969345,
-0.28060564398765564,
-0.05946861207485199,
0.07482945919036865,
0.06202014163136482,
0.3974682688713074,
0.07085619866847992,
0.21601079404354095,
-0.002573415171355009,
0.11343801766633987,
-0.04826263710856438,
-0.0900639072060585,
0.1859847605228424,
-0.31003302335739136,
-0.31731799244880676,
-0.12134335190057755,
0.00993572361767292,
0.3347616195678711,
0.11073707789182663,
-0.3489590883255005,
-0.21413186192512512,
-0.10495806485414505,
0.08531273156404495,
-0.2213255912065506,
-0.040067099034786224,
0.18285974860191345,
0.07230282574892044,
-0.06572254747152328,
-0.08664463460445404,
0.03598904609680176,
0.07123992592096329,
0.15234632790088654,
0.13496197760105133,
-0.006304681766778231,
0.08922669291496277,
-0.08488419651985168,
0.6008992195129395,
0.21869337558746338,
-0.2143774777650833,
0.30028587579727173,
-0.10327647626399994,
0.005145025905221701,
-0.20868363976478577,
-0.43980398774147034,
0.2641644775867462,
-0.11523281037807465,
0.1829284131526947,
0.17231453955173492,
-0.07949270308017731,
-0.22478418052196503,
-0.19255878031253815,
0.06885252147912979,
-0.17844729125499725,
-0.27277931571006775,
0.14616899192333221,
-0.21739473938941956,
0.278711199760437,
-0.0688643828034401,
0.22253714501857758,
-0.20522361993789673,
-0.16798114776611328,
0.06985098868608475,
0.16693316400051117,
-0.09054534137248993,
0.07967454195022583,
-0.24400153756141663,
-0.2761092185974121,
-0.47995808720588684,
-0.027839848771691322,
0.2410319298505783,
0.643750786781311,
-0.08638402819633484,
0.037189047783613205,
0.0807223692536354,
0.08174136281013489,
0.13737380504608154,
-0.23013576865196228,
0.1822637915611267,
0.2891305088996887,
0.031824760138988495,
-0.3197470009326935,
-0.06433095782995224,
-0.1401122510433197,
0.35801708698272705,
0.07665061950683594,
-0.05443219840526581,
-0.03723124787211418,
-0.16765417158603668,
0.13983193039894104,
0.25993993878364563,
-0.18729501962661743,
-0.04411264508962631,
-0.09173404425382614,
-0.0898098275065422,
-0.30776384472846985,
-0.006155079230666161,
-0.009947403334081173,
0.3356599807739258,
0.12296963483095169,
0.26572561264038086,
-0.5462993383407593,
0.11665675789117813,
0.09016667306423187,
0.17458726465702057,
0.09595341980457306,
0.057944491505622864,
0.18724635243415833,
-0.16663426160812378,
0.183209627866745,
-0.14590534567832947,
0.5633814334869385,
0.14737607538700104,
-0.33079853653907776,
-0.31953001022338867,
0.021663723513484,
0.16743426024913788,
0.18398089706897736,
-0.018585436046123505,
-0.1411214917898178,
-0.276946485042572,
-0.06146418675780296,
-0.008709541521966457,
0.30457016825675964,
0.5610408186912537,
0.0026278814766556025,
-0.3271811902523041,
-0.2585411071777344,
0.48284009099006653,
-0.2850036919116974,
0.11732959747314453,
0.32155776023864746,
0.05337808281183243,
-0.3131917119026184,
0.08413904905319214,
0.07783257216215134,
0.6767759323120117,
0.1695389300584793,
0.3111467659473419,
0.3826707899570465,
0.18392953276634216,
0.4142702519893646,
-0.043089646846055984,
0.28471478819847107,
-0.3927352726459503,
-0.13342542946338654,
-0.08068593591451645,
-0.06546245515346527,
0.10708130896091461,
-0.00887344777584076,
-0.025437481701374054,
0.1506209671497345,
0.15688923001289368,
-0.0041417344473302364,
0.05714833736419678,
0.4492526948451996,
-0.03878338634967804,
-0.19681920111179352,
-0.34702637791633606,
0.15601642429828644,
-0.218000128865242,
0.29750892519950867,
-0.09073349088430405,
-0.06648434698581696,
0.05520431324839592,
-0.06735192984342575,
-0.2555583119392395,
0.2574388384819031,
-0.29947420954704285,
0.4594575762748718,
0.057822249829769135,
-0.47568145394325256,
0.1984158307313919,
0.20709721744060516,
0.17566342651844025,
0.005698441993445158,
-0.2995951473712921,
0.2387789934873581,
-0.2900906801223755,
-0.2218656986951828,
-0.06728668510913849,
0.11194741725921631,
0.4200740456581116,
-0.1725509911775589,
-0.14637738466262817,
0.1479404866695404,
-0.12065477669239044,
-0.2415027767419815,
0.10395903885364532,
0.036866601556539536,
0.35248854756355286,
-0.39257586002349854,
-0.5152192711830139,
-0.0024203567299991846,
-0.18207542598247528,
-0.17490997910499573,
0.17449994385242462,
0.023450996726751328,
-0.18903093039989471,
0.15189528465270996,
0.14982764422893524,
-0.1989799439907074,
0.1164064109325409,
0.24804162979125977,
-0.2495405673980713,
0.1462835967540741,
0.763757050037384,
0.033945709466934204,
0.012805157341063023,
-0.31383034586906433,
-0.05428868532180786,
0.12508492171764374,
-0.4820001423358917,
-0.11712706089019775,
0.1255035698413849,
0.16912545263767242,
-0.14424709975719452,
0.4983648657798767,
0.06302112340927124,
-0.018845530226826668,
0.2471855729818344,
-0.5424144268035889,
-0.10621847957372665,
-0.04302152618765831,
0.017753472551703453,
0.23777538537979126,
-0.0026242828462272882,
0.11488918960094452,
0.13550932705402374,
0.10338813066482544,
-0.27263733744621277,
0.014253862202167511,
-0.15762493014335632,
0.1379975527524948,
0.21783483028411865,
-0.15653111040592194,
0.22328241169452667,
-0.07694793492555618,
0.15638624131679535,
-0.09584680199623108,
-0.12303421646356583,
-0.24829301238059998,
-0.25483760237693787,
0.10011181235313416,
0.24556748569011688,
-0.16452161967754364,
-0.03067888505756855,
-0.10233359783887863,
0.02367708459496498,
-0.23110559582710266,
-0.008462597616016865,
-0.11772827059030533,
-0.29334336519241333,
0.38943231105804443,
0.043897844851017,
0.2783689498901367,
-0.1116899773478508,
0.12635605037212372,
-0.3007572293281555,
0.14912119507789612,
-0.018496258184313774,
-0.07522967457771301,
0.27581310272216797,
0.09365364164113998,
-0.46588754653930664,
0.005421184469014406,
-0.40260615944862366,
0.037148136645555496,
0.36982107162475586,
-0.45511066913604736,
0.15995857119560242,
-0.1316279023885727,
0.09546560794115067,
0.4656839668750763,
-0.2714088261127472,
-0.0036662661004811525,
0.34966516494750977,
0.2378423660993576,
-0.2974173426628113,
-0.18925972282886505,
0.23999083042144775,
0.06134593486785889,
0.032459061592817307,
0.027239473536610603,
0.04666171222925186,
-0.3037489652633667,
-0.32123425602912903,
0.08927872031927109,
-0.029339971020817757,
-0.265601247549057,
-0.011407657526433468,
0.3393266201019287,
-0.002364314394071698,
-0.05951515957713127,
-0.05004987120628357,
0.21102137863636017,
0.035392459481954575,
0.38269418478012085,
-0.29260048270225525,
0.20699812471866608,
0.05926388129591942,
0.04391023516654968,
-0.11114337295293808,
-0.21921710669994354,
0.05030057579278946,
-0.157841295003891,
0.03383495658636093,
0.29528310894966125,
0.09981518238782883,
0.1530808061361313,
-0.285504013299942,
-0.12453760206699371,
-0.20802302658557892,
0.22792354226112366,
-0.17904223501682281,
-0.04890627786517143,
-0.24299491941928864,
0.021017028018832207,
-0.025876162573695183,
-0.09469947963953018,
-0.14167042076587677,
-0.03817928954958916,
0.3095564842224121,
0.2532219886779785,
-0.1722697913646698,
-0.45553529262542725,
0.10826699435710907,
0.3432939052581787,
0.18004795908927917,
-0.24588418006896973,
0.33685368299484253,
0.19381506741046906,
-0.06877820193767548,
-0.01412354689091444,
0.39711013436317444,
0.4357686936855316,
0.33839377760887146,
-0.3642207980155945,
0.08116745948791504,
-0.2033807784318924,
-0.0568217858672142,
-0.02326009050011635,
0.26951277256011963,
0.10607278347015381,
0.11737696081399918,
0.4624232351779938,
0.12148629873991013,
-0.12472685426473618,
0.04363814741373062,
-0.08805640786886215,
-0.2605327367782593,
-0.26294752955436707,
0.5191484093666077,
0.185794860124588,
-0.11438807845115662,
-0.3206513226032257,
0.1899377405643463,
-0.2749866843223572,
-0.0809149518609047,
0.06285153329372406,
0.24058951437473297,
0.113153375685215,
-0.21382735669612885,
0.07050874084234238,
0.00031574213062413037,
0.7061741352081299,
0.48772212862968445,
-0.01771952025592327,
-0.3658044636249542,
-0.11652323603630066,
-0.5989870429039001,
0.2178366482257843,
-0.3639686405658722,
-0.26901865005493164,
0.2833371162414551,
-0.07233183085918427,
-0.28808191418647766,
0.24852752685546875,
0.12761986255645752,
0.15819624066352844,
-0.05727671831846237,
0.0983472391963005,
-0.49076488614082336,
-0.1486053764820099,
-0.03065069019794464,
-0.0076751429587602615,
-0.0831807479262352,
-0.25705254077911377,
0.1453229933977127,
-0.4349938929080963,
0.1161026805639267,
0.011985591612756252,
0.06934838742017746,
-0.0002399603690719232,
0.09664099663496017,
0.3544251024723053,
0.16532465815544128,
0.5012484788894653,
-0.035560812801122665,
0.0036571817472577095,
-0.19115544855594635,
-0.15662235021591187,
-0.22899216413497925,
0.13182324171066284,
0.08762864023447037,
0.5133113861083984,
-0.026107320562005043,
-0.06854572147130966,
-0.2640267312526703,
0.40316781401634216,
-0.08100741356611252,
0.08831649273633957,
-0.13508076965808868,
0.07731454819440842,
-0.07035040855407715,
0.22758440673351288,
0.26436471939086914,
0.4245404899120331,
-0.17832162976264954,
0.20220930874347687,
-0.27229106426239014,
-0.4602454900741577,
0.32893526554107666,
-0.6614815592765808,
-0.5177910923957825,
0.07512339949607849,
0.11619257926940918,
-0.1423347145318985,
0.05819396302103996,
-0.6006348133087158,
0.0705668106675148,
0.24261273443698883,
-0.11140530556440353,
-0.3171199560165405,
0.21794475615024567,
0.016542308032512665,
0.08000080287456512,
0.043573711067438126,
0.44835665822029114,
-0.14847348630428314,
-0.15976785123348236,
-0.004933878779411316,
-0.1632518470287323
] |
https://github.com/huggingface/datasets/issues/168 | Loading 'wikitext' dataset fails | Hi,
The squad bug seems to be fixed, but the loading of the 'wikitext' still suffers from this problem (on Colab with pyarrow=0.17.1). | Loading the 'wikitext' dataset fails with Attribute error:
Code to reproduce (From example notebook):
import nlp
wikitext_dataset = nlp.load_dataset('wikitext')
Error:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-17-d5d9df94b13c> in <module>()
11
12 # Load a dataset and print the first examples in the training set
---> 13 wikitext_dataset = nlp.load_dataset('wikitext')
14 print(wikitext_dataset['train'][0])
6 frames
/usr/local/lib/python3.6/dist-packages/nlp/load.py in load_dataset(path, name, version, data_dir, data_files, split, cache_dir, download_config, download_mode, ignore_verifications, save_infos, **config_kwargs)
518 download_mode=download_mode,
519 ignore_verifications=ignore_verifications,
--> 520 save_infos=save_infos,
521 )
522
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in download_and_prepare(self, download_config, download_mode, ignore_verifications, save_infos, dl_manager, **download_and_prepare_kwargs)
363 verify_infos = not save_infos and not ignore_verifications
364 self._download_and_prepare(
--> 365 dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
366 )
367 # Sync info
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in _download_and_prepare(self, dl_manager, verify_infos, **prepare_split_kwargs)
416 try:
417 # Prepare split will record examples associated to the split
--> 418 self._prepare_split(split_generator, **prepare_split_kwargs)
419 except OSError:
420 raise OSError("Cannot find data file. " + (self.MANUAL_DOWNLOAD_INSTRUCTIONS or ""))
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in _prepare_split(self, split_generator)
594 example = self.info.features.encode_example(record)
595 writer.write(example)
--> 596 num_examples, num_bytes = writer.finalize()
597
598 assert num_examples == num_examples, f"Expected to write {split_info.num_examples} but wrote {num_examples}"
/usr/local/lib/python3.6/dist-packages/nlp/arrow_writer.py in finalize(self, close_stream)
173 def finalize(self, close_stream=True):
174 if self.pa_writer is not None:
--> 175 self.write_on_file()
176 self.pa_writer.close()
177 if close_stream:
/usr/local/lib/python3.6/dist-packages/nlp/arrow_writer.py in write_on_file(self)
124 else:
125 # All good
--> 126 self._write_array_on_file(pa_array)
127 self.current_rows = []
128
/usr/local/lib/python3.6/dist-packages/nlp/arrow_writer.py in _write_array_on_file(self, pa_array)
93 def _write_array_on_file(self, pa_array):
94 """Write a PyArrow Array"""
---> 95 pa_batch = pa.RecordBatch.from_struct_array(pa_array)
96 self._num_bytes += pa_array.nbytes
97 self.pa_writer.write_batch(pa_batch)
AttributeError: type object 'pyarrow.lib.RecordBatch' has no attribute 'from_struct_array' | 23 | Loading 'wikitext' dataset fails
Loading the 'wikitext' dataset fails with Attribute error:
Code to reproduce (From example notebook):
import nlp
wikitext_dataset = nlp.load_dataset('wikitext')
Error:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-17-d5d9df94b13c> in <module>()
11
12 # Load a dataset and print the first examples in the training set
---> 13 wikitext_dataset = nlp.load_dataset('wikitext')
14 print(wikitext_dataset['train'][0])
6 frames
/usr/local/lib/python3.6/dist-packages/nlp/load.py in load_dataset(path, name, version, data_dir, data_files, split, cache_dir, download_config, download_mode, ignore_verifications, save_infos, **config_kwargs)
518 download_mode=download_mode,
519 ignore_verifications=ignore_verifications,
--> 520 save_infos=save_infos,
521 )
522
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in download_and_prepare(self, download_config, download_mode, ignore_verifications, save_infos, dl_manager, **download_and_prepare_kwargs)
363 verify_infos = not save_infos and not ignore_verifications
364 self._download_and_prepare(
--> 365 dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
366 )
367 # Sync info
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in _download_and_prepare(self, dl_manager, verify_infos, **prepare_split_kwargs)
416 try:
417 # Prepare split will record examples associated to the split
--> 418 self._prepare_split(split_generator, **prepare_split_kwargs)
419 except OSError:
420 raise OSError("Cannot find data file. " + (self.MANUAL_DOWNLOAD_INSTRUCTIONS or ""))
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in _prepare_split(self, split_generator)
594 example = self.info.features.encode_example(record)
595 writer.write(example)
--> 596 num_examples, num_bytes = writer.finalize()
597
598 assert num_examples == num_examples, f"Expected to write {split_info.num_examples} but wrote {num_examples}"
/usr/local/lib/python3.6/dist-packages/nlp/arrow_writer.py in finalize(self, close_stream)
173 def finalize(self, close_stream=True):
174 if self.pa_writer is not None:
--> 175 self.write_on_file()
176 self.pa_writer.close()
177 if close_stream:
/usr/local/lib/python3.6/dist-packages/nlp/arrow_writer.py in write_on_file(self)
124 else:
125 # All good
--> 126 self._write_array_on_file(pa_array)
127 self.current_rows = []
128
/usr/local/lib/python3.6/dist-packages/nlp/arrow_writer.py in _write_array_on_file(self, pa_array)
93 def _write_array_on_file(self, pa_array):
94 """Write a PyArrow Array"""
---> 95 pa_batch = pa.RecordBatch.from_struct_array(pa_array)
96 self._num_bytes += pa_array.nbytes
97 self.pa_writer.write_batch(pa_batch)
AttributeError: type object 'pyarrow.lib.RecordBatch' has no attribute 'from_struct_array'
Hi,
The squad bug seems to be fixed, but the loading of the 'wikitext' still suffers from this problem (on Colab with pyarrow=0.17.1). | [
-0.11933788657188416,
0.0886276513338089,
-0.008977650664746761,
0.21019726991653442,
0.3692685067653656,
0.026060238480567932,
0.44878119230270386,
0.41310203075408936,
0.43308186531066895,
0.012566424906253815,
0.12384431064128876,
0.39542996883392334,
-0.1505494862794876,
0.021962128579616547,
0.12090560793876648,
-0.4289896488189697,
-0.033739328384399414,
0.36367329955101013,
-0.04146643355488777,
0.06297355890274048,
-0.1876838058233261,
0.10851654410362244,
-0.2651917040348053,
0.255005806684494,
-0.30572274327278137,
-0.05702603608369827,
0.21592095494270325,
0.08206319063901901,
-0.07891858369112015,
-0.55900639295578,
0.2770833671092987,
-0.21704953908920288,
0.0644511878490448,
0.11474639922380447,
-0.00010995574848493561,
0.20530641078948975,
0.33269748091697693,
0.03021298721432686,
-0.5799461603164673,
-0.18957747519016266,
-0.4773319959640503,
-0.11893901973962784,
0.29743248224258423,
-0.24970698356628418,
-0.028513457626104355,
0.05389736220240593,
0.03591109812259674,
-0.07441242039203644,
0.2967468500137329,
0.5315061807632446,
0.23788878321647644,
0.5236918926239014,
0.15454885363578796,
0.034493979066610336,
-0.07856866717338562,
-0.17057105898857117,
-0.08211525529623032,
0.22396785020828247,
0.07387740910053253,
-0.39154455065727234,
-0.013374139554798603,
0.12692393362522125,
0.15117257833480835,
0.26370176672935486,
0.5083714723587036,
0.014393548481166363,
0.2405228316783905,
-0.15062619745731354,
0.014946400187909603,
0.07640086859464645,
0.3353831470012665,
-0.16493351757526398,
-0.27160072326660156,
-0.2243598848581314,
0.2476663589477539,
-0.33475664258003235,
0.23653079569339752,
-0.036676887422800064,
-0.16220447421073914,
-0.008197000250220299,
-0.2692282497882843,
-0.028147514909505844,
-0.24182115495204926,
0.35268786549568176,
-0.05821506306529045,
0.4996490478515625,
0.04358331486582756,
0.14274749159812927,
-0.058065660297870636,
-0.07545804977416992,
0.14037638902664185,
-0.08709083497524261,
-0.12930019199848175,
0.2578132152557373,
-0.38315585255622864,
-0.03646787628531456,
-0.034946393221616745,
-0.1169760525226593,
-0.031624484807252884,
0.2635209858417511,
0.2199900895357132,
-0.2248735874891281,
0.3238379955291748,
0.3154149651527405,
0.22298957407474518,
0.42046910524368286,
0.07276459038257599,
0.06359180808067322,
-0.08280493319034576,
0.13602527976036072,
-0.23372802138328552,
-0.15548524260520935,
-0.15553590655326843,
-0.17655469477176666,
0.09289750456809998,
-0.15460263192653656,
0.22602041065692902,
-0.07111654430627823,
-0.49847400188446045,
0.11472059786319733,
-0.1434047520160675,
0.04629036784172058,
0.20511473715305328,
0.17948518693447113,
-0.12763333320617676,
0.23223552107810974,
0.14412418007850647,
0.2825672924518585,
-0.2519769072532654,
-0.04313638061285019,
-0.16628925502300262,
0.24921317398548126,
-0.23438338935375214,
-0.18224935233592987,
0.24275411665439606,
0.19340045750141144,
0.3994779884815216,
-0.10116773843765259,
0.11126504093408585,
-0.20175516605377197,
0.22737497091293335,
-0.04551902040839195,
-0.12887892127037048,
0.25665295124053955,
-0.21606145799160004,
0.15489806234836578,
0.20159101486206055,
-0.2824234366416931,
-0.08482398837804794,
-0.10174469649791718,
-0.27263587713241577,
-0.3080922067165375,
-0.12625131011009216,
0.281415194272995,
0.14738169312477112,
-0.24296516180038452,
-0.15226291120052338,
-0.06118733063340187,
0.14749260246753693,
-0.3687240481376648,
-0.11810583621263504,
-0.46125921607017517,
-0.22063837945461273,
-0.023005429655313492,
0.3976428508758545,
0.20490917563438416,
0.131386861205101,
-0.10897225141525269,
-0.11542121320962906,
0.07785490155220032,
-0.03179694712162018,
0.12271356582641602,
-0.43835729360580444,
0.5421618223190308,
-0.06105572730302811,
0.11886267364025116,
0.6413458585739136,
-0.34278684854507446,
-0.4578539729118347,
0.12356847524642944,
-0.014279641211032867,
0.2093287706375122,
-0.22536881268024445,
-0.016720760613679886,
-0.013226832263171673,
-0.1845516413450241,
0.2123139649629593,
0.6192137002944946,
-0.015043232589960098,
0.0824793204665184,
-0.12689664959907532,
-0.01554853655397892,
0.5002202987670898,
0.10985670238733292,
0.09252531081438065,
-0.007928650826215744,
-0.04170486703515053,
0.4966488778591156,
-0.0013133209431543946,
-0.12597094476222992,
-0.014860233291983604,
-0.013630262576043606,
-0.06468662619590759,
-0.104604572057724,
-0.21782620251178741,
-0.073886938393116,
-0.27766478061676025,
0.3043038845062256,
-0.11754702031612396,
-0.0585317425429821,
-0.04715042933821678,
0.1061868816614151,
-0.34911301732063293,
0.16848920285701752,
-0.423268586397171,
-0.37731868028640747,
0.17209294438362122,
0.1551334410905838,
-0.01082319114357233,
0.2384408712387085,
-0.20474199950695038,
0.21943683922290802,
-0.27402806282043457,
0.05550078675150871,
-0.21892870962619781,
0.1612894982099533,
-0.055882859975099564,
-0.0424220934510231,
-0.009479359723627567,
0.30879732966423035,
0.03833145648241043,
-0.017996225506067276,
-0.3062887489795685,
0.286030650138855,
-0.1254843771457672,
0.08035652339458466,
-0.03226462006568909,
-0.14337000250816345,
0.06880593299865723,
-0.07154339551925659,
-0.17518380284309387,
0.20819160342216492,
0.3319510519504547,
-0.18012623488903046,
-0.04314308613538742,
0.11287619918584824,
0.12721261382102966,
0.08142238110303879,
0.09886393696069717,
0.16397275030612946,
0.1439925581216812,
-0.06582631915807724,
0.10127968341112137,
0.07743124663829803,
0.2337101697921753,
-0.09498753398656845,
0.20471026003360748,
-0.15645122528076172,
-0.16714543104171753,
-0.11880633234977722,
0.31311914324760437,
0.17005811631679535,
0.1674172282218933,
0.08148688822984695,
-0.27525240182876587,
-0.09487471729516983,
0.07855787128210068,
0.1460483968257904,
0.4009645879268646,
-0.051832713186740875,
-0.10834138095378876,
-0.05257111415266991,
-0.4165973961353302,
0.07112560421228409,
0.1707080900669098,
0.03662936016917229,
0.20912867784500122,
0.3018558621406555,
0.04131574556231499,
0.08731992542743683,
-0.29526659846305847,
-0.35701724886894226,
0.2824332118034363,
0.44053006172180176,
-0.22848272323608398,
0.2078799307346344,
-0.0305313840508461,
-0.0025109166745096445,
-0.06784793734550476,
-0.33363422751426697,
-0.18862943351268768,
-0.34299421310424805,
-0.12133592367172241,
0.4337747097015381,
0.024118667468428612,
0.1810036450624466,
-0.3977627158164978,
-0.022050168365240097,
0.19475045800209045,
-0.1147860512137413,
-0.03137960657477379,
-0.31579849123954773,
-0.2693284749984741,
0.045942142605781555,
0.3818604350090027,
0.09107596427202225,
0.3510979115962982,
-0.06677016615867615,
-0.09253522008657455,
-0.007033964619040489,
-0.05841490253806114,
-0.07556762546300888,
-0.18372154235839844,
0.24404771625995636,
0.009521574713289738,
0.2855835556983948,
-0.17702993750572205,
-0.5220329761505127,
0.5017470121383667,
-0.25570252537727356,
-0.05778523162007332,
0.31510716676712036,
0.27111291885375977,
-0.24919019639492035,
-0.0794772058725357,
-0.374688059091568,
-0.1264500468969345,
-0.28060564398765564,
-0.05946861207485199,
0.07482945919036865,
0.06202014163136482,
0.3974682688713074,
0.07085619866847992,
0.21601079404354095,
-0.002573415171355009,
0.11343801766633987,
-0.04826263710856438,
-0.0900639072060585,
0.1859847605228424,
-0.31003302335739136,
-0.31731799244880676,
-0.12134335190057755,
0.00993572361767292,
0.3347616195678711,
0.11073707789182663,
-0.3489590883255005,
-0.21413186192512512,
-0.10495806485414505,
0.08531273156404495,
-0.2213255912065506,
-0.040067099034786224,
0.18285974860191345,
0.07230282574892044,
-0.06572254747152328,
-0.08664463460445404,
0.03598904609680176,
0.07123992592096329,
0.15234632790088654,
0.13496197760105133,
-0.006304681766778231,
0.08922669291496277,
-0.08488419651985168,
0.6008992195129395,
0.21869337558746338,
-0.2143774777650833,
0.30028587579727173,
-0.10327647626399994,
0.005145025905221701,
-0.20868363976478577,
-0.43980398774147034,
0.2641644775867462,
-0.11523281037807465,
0.1829284131526947,
0.17231453955173492,
-0.07949270308017731,
-0.22478418052196503,
-0.19255878031253815,
0.06885252147912979,
-0.17844729125499725,
-0.27277931571006775,
0.14616899192333221,
-0.21739473938941956,
0.278711199760437,
-0.0688643828034401,
0.22253714501857758,
-0.20522361993789673,
-0.16798114776611328,
0.06985098868608475,
0.16693316400051117,
-0.09054534137248993,
0.07967454195022583,
-0.24400153756141663,
-0.2761092185974121,
-0.47995808720588684,
-0.027839848771691322,
0.2410319298505783,
0.643750786781311,
-0.08638402819633484,
0.037189047783613205,
0.0807223692536354,
0.08174136281013489,
0.13737380504608154,
-0.23013576865196228,
0.1822637915611267,
0.2891305088996887,
0.031824760138988495,
-0.3197470009326935,
-0.06433095782995224,
-0.1401122510433197,
0.35801708698272705,
0.07665061950683594,
-0.05443219840526581,
-0.03723124787211418,
-0.16765417158603668,
0.13983193039894104,
0.25993993878364563,
-0.18729501962661743,
-0.04411264508962631,
-0.09173404425382614,
-0.0898098275065422,
-0.30776384472846985,
-0.006155079230666161,
-0.009947403334081173,
0.3356599807739258,
0.12296963483095169,
0.26572561264038086,
-0.5462993383407593,
0.11665675789117813,
0.09016667306423187,
0.17458726465702057,
0.09595341980457306,
0.057944491505622864,
0.18724635243415833,
-0.16663426160812378,
0.183209627866745,
-0.14590534567832947,
0.5633814334869385,
0.14737607538700104,
-0.33079853653907776,
-0.31953001022338867,
0.021663723513484,
0.16743426024913788,
0.18398089706897736,
-0.018585436046123505,
-0.1411214917898178,
-0.276946485042572,
-0.06146418675780296,
-0.008709541521966457,
0.30457016825675964,
0.5610408186912537,
0.0026278814766556025,
-0.3271811902523041,
-0.2585411071777344,
0.48284009099006653,
-0.2850036919116974,
0.11732959747314453,
0.32155776023864746,
0.05337808281183243,
-0.3131917119026184,
0.08413904905319214,
0.07783257216215134,
0.6767759323120117,
0.1695389300584793,
0.3111467659473419,
0.3826707899570465,
0.18392953276634216,
0.4142702519893646,
-0.043089646846055984,
0.28471478819847107,
-0.3927352726459503,
-0.13342542946338654,
-0.08068593591451645,
-0.06546245515346527,
0.10708130896091461,
-0.00887344777584076,
-0.025437481701374054,
0.1506209671497345,
0.15688923001289368,
-0.0041417344473302364,
0.05714833736419678,
0.4492526948451996,
-0.03878338634967804,
-0.19681920111179352,
-0.34702637791633606,
0.15601642429828644,
-0.218000128865242,
0.29750892519950867,
-0.09073349088430405,
-0.06648434698581696,
0.05520431324839592,
-0.06735192984342575,
-0.2555583119392395,
0.2574388384819031,
-0.29947420954704285,
0.4594575762748718,
0.057822249829769135,
-0.47568145394325256,
0.1984158307313919,
0.20709721744060516,
0.17566342651844025,
0.005698441993445158,
-0.2995951473712921,
0.2387789934873581,
-0.2900906801223755,
-0.2218656986951828,
-0.06728668510913849,
0.11194741725921631,
0.4200740456581116,
-0.1725509911775589,
-0.14637738466262817,
0.1479404866695404,
-0.12065477669239044,
-0.2415027767419815,
0.10395903885364532,
0.036866601556539536,
0.35248854756355286,
-0.39257586002349854,
-0.5152192711830139,
-0.0024203567299991846,
-0.18207542598247528,
-0.17490997910499573,
0.17449994385242462,
0.023450996726751328,
-0.18903093039989471,
0.15189528465270996,
0.14982764422893524,
-0.1989799439907074,
0.1164064109325409,
0.24804162979125977,
-0.2495405673980713,
0.1462835967540741,
0.763757050037384,
0.033945709466934204,
0.012805157341063023,
-0.31383034586906433,
-0.05428868532180786,
0.12508492171764374,
-0.4820001423358917,
-0.11712706089019775,
0.1255035698413849,
0.16912545263767242,
-0.14424709975719452,
0.4983648657798767,
0.06302112340927124,
-0.018845530226826668,
0.2471855729818344,
-0.5424144268035889,
-0.10621847957372665,
-0.04302152618765831,
0.017753472551703453,
0.23777538537979126,
-0.0026242828462272882,
0.11488918960094452,
0.13550932705402374,
0.10338813066482544,
-0.27263733744621277,
0.014253862202167511,
-0.15762493014335632,
0.1379975527524948,
0.21783483028411865,
-0.15653111040592194,
0.22328241169452667,
-0.07694793492555618,
0.15638624131679535,
-0.09584680199623108,
-0.12303421646356583,
-0.24829301238059998,
-0.25483760237693787,
0.10011181235313416,
0.24556748569011688,
-0.16452161967754364,
-0.03067888505756855,
-0.10233359783887863,
0.02367708459496498,
-0.23110559582710266,
-0.008462597616016865,
-0.11772827059030533,
-0.29334336519241333,
0.38943231105804443,
0.043897844851017,
0.2783689498901367,
-0.1116899773478508,
0.12635605037212372,
-0.3007572293281555,
0.14912119507789612,
-0.018496258184313774,
-0.07522967457771301,
0.27581310272216797,
0.09365364164113998,
-0.46588754653930664,
0.005421184469014406,
-0.40260615944862366,
0.037148136645555496,
0.36982107162475586,
-0.45511066913604736,
0.15995857119560242,
-0.1316279023885727,
0.09546560794115067,
0.4656839668750763,
-0.2714088261127472,
-0.0036662661004811525,
0.34966516494750977,
0.2378423660993576,
-0.2974173426628113,
-0.18925972282886505,
0.23999083042144775,
0.06134593486785889,
0.032459061592817307,
0.027239473536610603,
0.04666171222925186,
-0.3037489652633667,
-0.32123425602912903,
0.08927872031927109,
-0.029339971020817757,
-0.265601247549057,
-0.011407657526433468,
0.3393266201019287,
-0.002364314394071698,
-0.05951515957713127,
-0.05004987120628357,
0.21102137863636017,
0.035392459481954575,
0.38269418478012085,
-0.29260048270225525,
0.20699812471866608,
0.05926388129591942,
0.04391023516654968,
-0.11114337295293808,
-0.21921710669994354,
0.05030057579278946,
-0.157841295003891,
0.03383495658636093,
0.29528310894966125,
0.09981518238782883,
0.1530808061361313,
-0.285504013299942,
-0.12453760206699371,
-0.20802302658557892,
0.22792354226112366,
-0.17904223501682281,
-0.04890627786517143,
-0.24299491941928864,
0.021017028018832207,
-0.025876162573695183,
-0.09469947963953018,
-0.14167042076587677,
-0.03817928954958916,
0.3095564842224121,
0.2532219886779785,
-0.1722697913646698,
-0.45553529262542725,
0.10826699435710907,
0.3432939052581787,
0.18004795908927917,
-0.24588418006896973,
0.33685368299484253,
0.19381506741046906,
-0.06877820193767548,
-0.01412354689091444,
0.39711013436317444,
0.4357686936855316,
0.33839377760887146,
-0.3642207980155945,
0.08116745948791504,
-0.2033807784318924,
-0.0568217858672142,
-0.02326009050011635,
0.26951277256011963,
0.10607278347015381,
0.11737696081399918,
0.4624232351779938,
0.12148629873991013,
-0.12472685426473618,
0.04363814741373062,
-0.08805640786886215,
-0.2605327367782593,
-0.26294752955436707,
0.5191484093666077,
0.185794860124588,
-0.11438807845115662,
-0.3206513226032257,
0.1899377405643463,
-0.2749866843223572,
-0.0809149518609047,
0.06285153329372406,
0.24058951437473297,
0.113153375685215,
-0.21382735669612885,
0.07050874084234238,
0.00031574213062413037,
0.7061741352081299,
0.48772212862968445,
-0.01771952025592327,
-0.3658044636249542,
-0.11652323603630066,
-0.5989870429039001,
0.2178366482257843,
-0.3639686405658722,
-0.26901865005493164,
0.2833371162414551,
-0.07233183085918427,
-0.28808191418647766,
0.24852752685546875,
0.12761986255645752,
0.15819624066352844,
-0.05727671831846237,
0.0983472391963005,
-0.49076488614082336,
-0.1486053764820099,
-0.03065069019794464,
-0.0076751429587602615,
-0.0831807479262352,
-0.25705254077911377,
0.1453229933977127,
-0.4349938929080963,
0.1161026805639267,
0.011985591612756252,
0.06934838742017746,
-0.0002399603690719232,
0.09664099663496017,
0.3544251024723053,
0.16532465815544128,
0.5012484788894653,
-0.035560812801122665,
0.0036571817472577095,
-0.19115544855594635,
-0.15662235021591187,
-0.22899216413497925,
0.13182324171066284,
0.08762864023447037,
0.5133113861083984,
-0.026107320562005043,
-0.06854572147130966,
-0.2640267312526703,
0.40316781401634216,
-0.08100741356611252,
0.08831649273633957,
-0.13508076965808868,
0.07731454819440842,
-0.07035040855407715,
0.22758440673351288,
0.26436471939086914,
0.4245404899120331,
-0.17832162976264954,
0.20220930874347687,
-0.27229106426239014,
-0.4602454900741577,
0.32893526554107666,
-0.6614815592765808,
-0.5177910923957825,
0.07512339949607849,
0.11619257926940918,
-0.1423347145318985,
0.05819396302103996,
-0.6006348133087158,
0.0705668106675148,
0.24261273443698883,
-0.11140530556440353,
-0.3171199560165405,
0.21794475615024567,
0.016542308032512665,
0.08000080287456512,
0.043573711067438126,
0.44835665822029114,
-0.14847348630428314,
-0.15976785123348236,
-0.004933878779411316,
-0.1632518470287323
] |
https://github.com/huggingface/datasets/issues/168 | Loading 'wikitext' dataset fails | When you install `nlp` for the first time on a Colab runtime, it updates the `pyarrow` library that was already on colab. This update shows this message on colab:
```
WARNING: The following packages were previously imported in this runtime:
[pyarrow]
You must restart the runtime in order to use newly installed versions.
```
You just have to restart the runtime and it should be fine. | Loading the 'wikitext' dataset fails with Attribute error:
Code to reproduce (From example notebook):
import nlp
wikitext_dataset = nlp.load_dataset('wikitext')
Error:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-17-d5d9df94b13c> in <module>()
11
12 # Load a dataset and print the first examples in the training set
---> 13 wikitext_dataset = nlp.load_dataset('wikitext')
14 print(wikitext_dataset['train'][0])
6 frames
/usr/local/lib/python3.6/dist-packages/nlp/load.py in load_dataset(path, name, version, data_dir, data_files, split, cache_dir, download_config, download_mode, ignore_verifications, save_infos, **config_kwargs)
518 download_mode=download_mode,
519 ignore_verifications=ignore_verifications,
--> 520 save_infos=save_infos,
521 )
522
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in download_and_prepare(self, download_config, download_mode, ignore_verifications, save_infos, dl_manager, **download_and_prepare_kwargs)
363 verify_infos = not save_infos and not ignore_verifications
364 self._download_and_prepare(
--> 365 dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
366 )
367 # Sync info
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in _download_and_prepare(self, dl_manager, verify_infos, **prepare_split_kwargs)
416 try:
417 # Prepare split will record examples associated to the split
--> 418 self._prepare_split(split_generator, **prepare_split_kwargs)
419 except OSError:
420 raise OSError("Cannot find data file. " + (self.MANUAL_DOWNLOAD_INSTRUCTIONS or ""))
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in _prepare_split(self, split_generator)
594 example = self.info.features.encode_example(record)
595 writer.write(example)
--> 596 num_examples, num_bytes = writer.finalize()
597
598 assert num_examples == num_examples, f"Expected to write {split_info.num_examples} but wrote {num_examples}"
/usr/local/lib/python3.6/dist-packages/nlp/arrow_writer.py in finalize(self, close_stream)
173 def finalize(self, close_stream=True):
174 if self.pa_writer is not None:
--> 175 self.write_on_file()
176 self.pa_writer.close()
177 if close_stream:
/usr/local/lib/python3.6/dist-packages/nlp/arrow_writer.py in write_on_file(self)
124 else:
125 # All good
--> 126 self._write_array_on_file(pa_array)
127 self.current_rows = []
128
/usr/local/lib/python3.6/dist-packages/nlp/arrow_writer.py in _write_array_on_file(self, pa_array)
93 def _write_array_on_file(self, pa_array):
94 """Write a PyArrow Array"""
---> 95 pa_batch = pa.RecordBatch.from_struct_array(pa_array)
96 self._num_bytes += pa_array.nbytes
97 self.pa_writer.write_batch(pa_batch)
AttributeError: type object 'pyarrow.lib.RecordBatch' has no attribute 'from_struct_array' | 66 | Loading 'wikitext' dataset fails
Loading the 'wikitext' dataset fails with Attribute error:
Code to reproduce (From example notebook):
import nlp
wikitext_dataset = nlp.load_dataset('wikitext')
Error:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-17-d5d9df94b13c> in <module>()
11
12 # Load a dataset and print the first examples in the training set
---> 13 wikitext_dataset = nlp.load_dataset('wikitext')
14 print(wikitext_dataset['train'][0])
6 frames
/usr/local/lib/python3.6/dist-packages/nlp/load.py in load_dataset(path, name, version, data_dir, data_files, split, cache_dir, download_config, download_mode, ignore_verifications, save_infos, **config_kwargs)
518 download_mode=download_mode,
519 ignore_verifications=ignore_verifications,
--> 520 save_infos=save_infos,
521 )
522
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in download_and_prepare(self, download_config, download_mode, ignore_verifications, save_infos, dl_manager, **download_and_prepare_kwargs)
363 verify_infos = not save_infos and not ignore_verifications
364 self._download_and_prepare(
--> 365 dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
366 )
367 # Sync info
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in _download_and_prepare(self, dl_manager, verify_infos, **prepare_split_kwargs)
416 try:
417 # Prepare split will record examples associated to the split
--> 418 self._prepare_split(split_generator, **prepare_split_kwargs)
419 except OSError:
420 raise OSError("Cannot find data file. " + (self.MANUAL_DOWNLOAD_INSTRUCTIONS or ""))
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in _prepare_split(self, split_generator)
594 example = self.info.features.encode_example(record)
595 writer.write(example)
--> 596 num_examples, num_bytes = writer.finalize()
597
598 assert num_examples == num_examples, f"Expected to write {split_info.num_examples} but wrote {num_examples}"
/usr/local/lib/python3.6/dist-packages/nlp/arrow_writer.py in finalize(self, close_stream)
173 def finalize(self, close_stream=True):
174 if self.pa_writer is not None:
--> 175 self.write_on_file()
176 self.pa_writer.close()
177 if close_stream:
/usr/local/lib/python3.6/dist-packages/nlp/arrow_writer.py in write_on_file(self)
124 else:
125 # All good
--> 126 self._write_array_on_file(pa_array)
127 self.current_rows = []
128
/usr/local/lib/python3.6/dist-packages/nlp/arrow_writer.py in _write_array_on_file(self, pa_array)
93 def _write_array_on_file(self, pa_array):
94 """Write a PyArrow Array"""
---> 95 pa_batch = pa.RecordBatch.from_struct_array(pa_array)
96 self._num_bytes += pa_array.nbytes
97 self.pa_writer.write_batch(pa_batch)
AttributeError: type object 'pyarrow.lib.RecordBatch' has no attribute 'from_struct_array'
When you install `nlp` for the first time on a Colab runtime, it updates the `pyarrow` library that was already on colab. This update shows this message on colab:
```
WARNING: The following packages were previously imported in this runtime:
[pyarrow]
You must restart the runtime in order to use newly installed versions.
```
You just have to restart the runtime and it should be fine. | [
-0.11933788657188416,
0.0886276513338089,
-0.008977650664746761,
0.21019726991653442,
0.3692685067653656,
0.026060238480567932,
0.44878119230270386,
0.41310203075408936,
0.43308186531066895,
0.012566424906253815,
0.12384431064128876,
0.39542996883392334,
-0.1505494862794876,
0.021962128579616547,
0.12090560793876648,
-0.4289896488189697,
-0.033739328384399414,
0.36367329955101013,
-0.04146643355488777,
0.06297355890274048,
-0.1876838058233261,
0.10851654410362244,
-0.2651917040348053,
0.255005806684494,
-0.30572274327278137,
-0.05702603608369827,
0.21592095494270325,
0.08206319063901901,
-0.07891858369112015,
-0.55900639295578,
0.2770833671092987,
-0.21704953908920288,
0.0644511878490448,
0.11474639922380447,
-0.00010995574848493561,
0.20530641078948975,
0.33269748091697693,
0.03021298721432686,
-0.5799461603164673,
-0.18957747519016266,
-0.4773319959640503,
-0.11893901973962784,
0.29743248224258423,
-0.24970698356628418,
-0.028513457626104355,
0.05389736220240593,
0.03591109812259674,
-0.07441242039203644,
0.2967468500137329,
0.5315061807632446,
0.23788878321647644,
0.5236918926239014,
0.15454885363578796,
0.034493979066610336,
-0.07856866717338562,
-0.17057105898857117,
-0.08211525529623032,
0.22396785020828247,
0.07387740910053253,
-0.39154455065727234,
-0.013374139554798603,
0.12692393362522125,
0.15117257833480835,
0.26370176672935486,
0.5083714723587036,
0.014393548481166363,
0.2405228316783905,
-0.15062619745731354,
0.014946400187909603,
0.07640086859464645,
0.3353831470012665,
-0.16493351757526398,
-0.27160072326660156,
-0.2243598848581314,
0.2476663589477539,
-0.33475664258003235,
0.23653079569339752,
-0.036676887422800064,
-0.16220447421073914,
-0.008197000250220299,
-0.2692282497882843,
-0.028147514909505844,
-0.24182115495204926,
0.35268786549568176,
-0.05821506306529045,
0.4996490478515625,
0.04358331486582756,
0.14274749159812927,
-0.058065660297870636,
-0.07545804977416992,
0.14037638902664185,
-0.08709083497524261,
-0.12930019199848175,
0.2578132152557373,
-0.38315585255622864,
-0.03646787628531456,
-0.034946393221616745,
-0.1169760525226593,
-0.031624484807252884,
0.2635209858417511,
0.2199900895357132,
-0.2248735874891281,
0.3238379955291748,
0.3154149651527405,
0.22298957407474518,
0.42046910524368286,
0.07276459038257599,
0.06359180808067322,
-0.08280493319034576,
0.13602527976036072,
-0.23372802138328552,
-0.15548524260520935,
-0.15553590655326843,
-0.17655469477176666,
0.09289750456809998,
-0.15460263192653656,
0.22602041065692902,
-0.07111654430627823,
-0.49847400188446045,
0.11472059786319733,
-0.1434047520160675,
0.04629036784172058,
0.20511473715305328,
0.17948518693447113,
-0.12763333320617676,
0.23223552107810974,
0.14412418007850647,
0.2825672924518585,
-0.2519769072532654,
-0.04313638061285019,
-0.16628925502300262,
0.24921317398548126,
-0.23438338935375214,
-0.18224935233592987,
0.24275411665439606,
0.19340045750141144,
0.3994779884815216,
-0.10116773843765259,
0.11126504093408585,
-0.20175516605377197,
0.22737497091293335,
-0.04551902040839195,
-0.12887892127037048,
0.25665295124053955,
-0.21606145799160004,
0.15489806234836578,
0.20159101486206055,
-0.2824234366416931,
-0.08482398837804794,
-0.10174469649791718,
-0.27263587713241577,
-0.3080922067165375,
-0.12625131011009216,
0.281415194272995,
0.14738169312477112,
-0.24296516180038452,
-0.15226291120052338,
-0.06118733063340187,
0.14749260246753693,
-0.3687240481376648,
-0.11810583621263504,
-0.46125921607017517,
-0.22063837945461273,
-0.023005429655313492,
0.3976428508758545,
0.20490917563438416,
0.131386861205101,
-0.10897225141525269,
-0.11542121320962906,
0.07785490155220032,
-0.03179694712162018,
0.12271356582641602,
-0.43835729360580444,
0.5421618223190308,
-0.06105572730302811,
0.11886267364025116,
0.6413458585739136,
-0.34278684854507446,
-0.4578539729118347,
0.12356847524642944,
-0.014279641211032867,
0.2093287706375122,
-0.22536881268024445,
-0.016720760613679886,
-0.013226832263171673,
-0.1845516413450241,
0.2123139649629593,
0.6192137002944946,
-0.015043232589960098,
0.0824793204665184,
-0.12689664959907532,
-0.01554853655397892,
0.5002202987670898,
0.10985670238733292,
0.09252531081438065,
-0.007928650826215744,
-0.04170486703515053,
0.4966488778591156,
-0.0013133209431543946,
-0.12597094476222992,
-0.014860233291983604,
-0.013630262576043606,
-0.06468662619590759,
-0.104604572057724,
-0.21782620251178741,
-0.073886938393116,
-0.27766478061676025,
0.3043038845062256,
-0.11754702031612396,
-0.0585317425429821,
-0.04715042933821678,
0.1061868816614151,
-0.34911301732063293,
0.16848920285701752,
-0.423268586397171,
-0.37731868028640747,
0.17209294438362122,
0.1551334410905838,
-0.01082319114357233,
0.2384408712387085,
-0.20474199950695038,
0.21943683922290802,
-0.27402806282043457,
0.05550078675150871,
-0.21892870962619781,
0.1612894982099533,
-0.055882859975099564,
-0.0424220934510231,
-0.009479359723627567,
0.30879732966423035,
0.03833145648241043,
-0.017996225506067276,
-0.3062887489795685,
0.286030650138855,
-0.1254843771457672,
0.08035652339458466,
-0.03226462006568909,
-0.14337000250816345,
0.06880593299865723,
-0.07154339551925659,
-0.17518380284309387,
0.20819160342216492,
0.3319510519504547,
-0.18012623488903046,
-0.04314308613538742,
0.11287619918584824,
0.12721261382102966,
0.08142238110303879,
0.09886393696069717,
0.16397275030612946,
0.1439925581216812,
-0.06582631915807724,
0.10127968341112137,
0.07743124663829803,
0.2337101697921753,
-0.09498753398656845,
0.20471026003360748,
-0.15645122528076172,
-0.16714543104171753,
-0.11880633234977722,
0.31311914324760437,
0.17005811631679535,
0.1674172282218933,
0.08148688822984695,
-0.27525240182876587,
-0.09487471729516983,
0.07855787128210068,
0.1460483968257904,
0.4009645879268646,
-0.051832713186740875,
-0.10834138095378876,
-0.05257111415266991,
-0.4165973961353302,
0.07112560421228409,
0.1707080900669098,
0.03662936016917229,
0.20912867784500122,
0.3018558621406555,
0.04131574556231499,
0.08731992542743683,
-0.29526659846305847,
-0.35701724886894226,
0.2824332118034363,
0.44053006172180176,
-0.22848272323608398,
0.2078799307346344,
-0.0305313840508461,
-0.0025109166745096445,
-0.06784793734550476,
-0.33363422751426697,
-0.18862943351268768,
-0.34299421310424805,
-0.12133592367172241,
0.4337747097015381,
0.024118667468428612,
0.1810036450624466,
-0.3977627158164978,
-0.022050168365240097,
0.19475045800209045,
-0.1147860512137413,
-0.03137960657477379,
-0.31579849123954773,
-0.2693284749984741,
0.045942142605781555,
0.3818604350090027,
0.09107596427202225,
0.3510979115962982,
-0.06677016615867615,
-0.09253522008657455,
-0.007033964619040489,
-0.05841490253806114,
-0.07556762546300888,
-0.18372154235839844,
0.24404771625995636,
0.009521574713289738,
0.2855835556983948,
-0.17702993750572205,
-0.5220329761505127,
0.5017470121383667,
-0.25570252537727356,
-0.05778523162007332,
0.31510716676712036,
0.27111291885375977,
-0.24919019639492035,
-0.0794772058725357,
-0.374688059091568,
-0.1264500468969345,
-0.28060564398765564,
-0.05946861207485199,
0.07482945919036865,
0.06202014163136482,
0.3974682688713074,
0.07085619866847992,
0.21601079404354095,
-0.002573415171355009,
0.11343801766633987,
-0.04826263710856438,
-0.0900639072060585,
0.1859847605228424,
-0.31003302335739136,
-0.31731799244880676,
-0.12134335190057755,
0.00993572361767292,
0.3347616195678711,
0.11073707789182663,
-0.3489590883255005,
-0.21413186192512512,
-0.10495806485414505,
0.08531273156404495,
-0.2213255912065506,
-0.040067099034786224,
0.18285974860191345,
0.07230282574892044,
-0.06572254747152328,
-0.08664463460445404,
0.03598904609680176,
0.07123992592096329,
0.15234632790088654,
0.13496197760105133,
-0.006304681766778231,
0.08922669291496277,
-0.08488419651985168,
0.6008992195129395,
0.21869337558746338,
-0.2143774777650833,
0.30028587579727173,
-0.10327647626399994,
0.005145025905221701,
-0.20868363976478577,
-0.43980398774147034,
0.2641644775867462,
-0.11523281037807465,
0.1829284131526947,
0.17231453955173492,
-0.07949270308017731,
-0.22478418052196503,
-0.19255878031253815,
0.06885252147912979,
-0.17844729125499725,
-0.27277931571006775,
0.14616899192333221,
-0.21739473938941956,
0.278711199760437,
-0.0688643828034401,
0.22253714501857758,
-0.20522361993789673,
-0.16798114776611328,
0.06985098868608475,
0.16693316400051117,
-0.09054534137248993,
0.07967454195022583,
-0.24400153756141663,
-0.2761092185974121,
-0.47995808720588684,
-0.027839848771691322,
0.2410319298505783,
0.643750786781311,
-0.08638402819633484,
0.037189047783613205,
0.0807223692536354,
0.08174136281013489,
0.13737380504608154,
-0.23013576865196228,
0.1822637915611267,
0.2891305088996887,
0.031824760138988495,
-0.3197470009326935,
-0.06433095782995224,
-0.1401122510433197,
0.35801708698272705,
0.07665061950683594,
-0.05443219840526581,
-0.03723124787211418,
-0.16765417158603668,
0.13983193039894104,
0.25993993878364563,
-0.18729501962661743,
-0.04411264508962631,
-0.09173404425382614,
-0.0898098275065422,
-0.30776384472846985,
-0.006155079230666161,
-0.009947403334081173,
0.3356599807739258,
0.12296963483095169,
0.26572561264038086,
-0.5462993383407593,
0.11665675789117813,
0.09016667306423187,
0.17458726465702057,
0.09595341980457306,
0.057944491505622864,
0.18724635243415833,
-0.16663426160812378,
0.183209627866745,
-0.14590534567832947,
0.5633814334869385,
0.14737607538700104,
-0.33079853653907776,
-0.31953001022338867,
0.021663723513484,
0.16743426024913788,
0.18398089706897736,
-0.018585436046123505,
-0.1411214917898178,
-0.276946485042572,
-0.06146418675780296,
-0.008709541521966457,
0.30457016825675964,
0.5610408186912537,
0.0026278814766556025,
-0.3271811902523041,
-0.2585411071777344,
0.48284009099006653,
-0.2850036919116974,
0.11732959747314453,
0.32155776023864746,
0.05337808281183243,
-0.3131917119026184,
0.08413904905319214,
0.07783257216215134,
0.6767759323120117,
0.1695389300584793,
0.3111467659473419,
0.3826707899570465,
0.18392953276634216,
0.4142702519893646,
-0.043089646846055984,
0.28471478819847107,
-0.3927352726459503,
-0.13342542946338654,
-0.08068593591451645,
-0.06546245515346527,
0.10708130896091461,
-0.00887344777584076,
-0.025437481701374054,
0.1506209671497345,
0.15688923001289368,
-0.0041417344473302364,
0.05714833736419678,
0.4492526948451996,
-0.03878338634967804,
-0.19681920111179352,
-0.34702637791633606,
0.15601642429828644,
-0.218000128865242,
0.29750892519950867,
-0.09073349088430405,
-0.06648434698581696,
0.05520431324839592,
-0.06735192984342575,
-0.2555583119392395,
0.2574388384819031,
-0.29947420954704285,
0.4594575762748718,
0.057822249829769135,
-0.47568145394325256,
0.1984158307313919,
0.20709721744060516,
0.17566342651844025,
0.005698441993445158,
-0.2995951473712921,
0.2387789934873581,
-0.2900906801223755,
-0.2218656986951828,
-0.06728668510913849,
0.11194741725921631,
0.4200740456581116,
-0.1725509911775589,
-0.14637738466262817,
0.1479404866695404,
-0.12065477669239044,
-0.2415027767419815,
0.10395903885364532,
0.036866601556539536,
0.35248854756355286,
-0.39257586002349854,
-0.5152192711830139,
-0.0024203567299991846,
-0.18207542598247528,
-0.17490997910499573,
0.17449994385242462,
0.023450996726751328,
-0.18903093039989471,
0.15189528465270996,
0.14982764422893524,
-0.1989799439907074,
0.1164064109325409,
0.24804162979125977,
-0.2495405673980713,
0.1462835967540741,
0.763757050037384,
0.033945709466934204,
0.012805157341063023,
-0.31383034586906433,
-0.05428868532180786,
0.12508492171764374,
-0.4820001423358917,
-0.11712706089019775,
0.1255035698413849,
0.16912545263767242,
-0.14424709975719452,
0.4983648657798767,
0.06302112340927124,
-0.018845530226826668,
0.2471855729818344,
-0.5424144268035889,
-0.10621847957372665,
-0.04302152618765831,
0.017753472551703453,
0.23777538537979126,
-0.0026242828462272882,
0.11488918960094452,
0.13550932705402374,
0.10338813066482544,
-0.27263733744621277,
0.014253862202167511,
-0.15762493014335632,
0.1379975527524948,
0.21783483028411865,
-0.15653111040592194,
0.22328241169452667,
-0.07694793492555618,
0.15638624131679535,
-0.09584680199623108,
-0.12303421646356583,
-0.24829301238059998,
-0.25483760237693787,
0.10011181235313416,
0.24556748569011688,
-0.16452161967754364,
-0.03067888505756855,
-0.10233359783887863,
0.02367708459496498,
-0.23110559582710266,
-0.008462597616016865,
-0.11772827059030533,
-0.29334336519241333,
0.38943231105804443,
0.043897844851017,
0.2783689498901367,
-0.1116899773478508,
0.12635605037212372,
-0.3007572293281555,
0.14912119507789612,
-0.018496258184313774,
-0.07522967457771301,
0.27581310272216797,
0.09365364164113998,
-0.46588754653930664,
0.005421184469014406,
-0.40260615944862366,
0.037148136645555496,
0.36982107162475586,
-0.45511066913604736,
0.15995857119560242,
-0.1316279023885727,
0.09546560794115067,
0.4656839668750763,
-0.2714088261127472,
-0.0036662661004811525,
0.34966516494750977,
0.2378423660993576,
-0.2974173426628113,
-0.18925972282886505,
0.23999083042144775,
0.06134593486785889,
0.032459061592817307,
0.027239473536610603,
0.04666171222925186,
-0.3037489652633667,
-0.32123425602912903,
0.08927872031927109,
-0.029339971020817757,
-0.265601247549057,
-0.011407657526433468,
0.3393266201019287,
-0.002364314394071698,
-0.05951515957713127,
-0.05004987120628357,
0.21102137863636017,
0.035392459481954575,
0.38269418478012085,
-0.29260048270225525,
0.20699812471866608,
0.05926388129591942,
0.04391023516654968,
-0.11114337295293808,
-0.21921710669994354,
0.05030057579278946,
-0.157841295003891,
0.03383495658636093,
0.29528310894966125,
0.09981518238782883,
0.1530808061361313,
-0.285504013299942,
-0.12453760206699371,
-0.20802302658557892,
0.22792354226112366,
-0.17904223501682281,
-0.04890627786517143,
-0.24299491941928864,
0.021017028018832207,
-0.025876162573695183,
-0.09469947963953018,
-0.14167042076587677,
-0.03817928954958916,
0.3095564842224121,
0.2532219886779785,
-0.1722697913646698,
-0.45553529262542725,
0.10826699435710907,
0.3432939052581787,
0.18004795908927917,
-0.24588418006896973,
0.33685368299484253,
0.19381506741046906,
-0.06877820193767548,
-0.01412354689091444,
0.39711013436317444,
0.4357686936855316,
0.33839377760887146,
-0.3642207980155945,
0.08116745948791504,
-0.2033807784318924,
-0.0568217858672142,
-0.02326009050011635,
0.26951277256011963,
0.10607278347015381,
0.11737696081399918,
0.4624232351779938,
0.12148629873991013,
-0.12472685426473618,
0.04363814741373062,
-0.08805640786886215,
-0.2605327367782593,
-0.26294752955436707,
0.5191484093666077,
0.185794860124588,
-0.11438807845115662,
-0.3206513226032257,
0.1899377405643463,
-0.2749866843223572,
-0.0809149518609047,
0.06285153329372406,
0.24058951437473297,
0.113153375685215,
-0.21382735669612885,
0.07050874084234238,
0.00031574213062413037,
0.7061741352081299,
0.48772212862968445,
-0.01771952025592327,
-0.3658044636249542,
-0.11652323603630066,
-0.5989870429039001,
0.2178366482257843,
-0.3639686405658722,
-0.26901865005493164,
0.2833371162414551,
-0.07233183085918427,
-0.28808191418647766,
0.24852752685546875,
0.12761986255645752,
0.15819624066352844,
-0.05727671831846237,
0.0983472391963005,
-0.49076488614082336,
-0.1486053764820099,
-0.03065069019794464,
-0.0076751429587602615,
-0.0831807479262352,
-0.25705254077911377,
0.1453229933977127,
-0.4349938929080963,
0.1161026805639267,
0.011985591612756252,
0.06934838742017746,
-0.0002399603690719232,
0.09664099663496017,
0.3544251024723053,
0.16532465815544128,
0.5012484788894653,
-0.035560812801122665,
0.0036571817472577095,
-0.19115544855594635,
-0.15662235021591187,
-0.22899216413497925,
0.13182324171066284,
0.08762864023447037,
0.5133113861083984,
-0.026107320562005043,
-0.06854572147130966,
-0.2640267312526703,
0.40316781401634216,
-0.08100741356611252,
0.08831649273633957,
-0.13508076965808868,
0.07731454819440842,
-0.07035040855407715,
0.22758440673351288,
0.26436471939086914,
0.4245404899120331,
-0.17832162976264954,
0.20220930874347687,
-0.27229106426239014,
-0.4602454900741577,
0.32893526554107666,
-0.6614815592765808,
-0.5177910923957825,
0.07512339949607849,
0.11619257926940918,
-0.1423347145318985,
0.05819396302103996,
-0.6006348133087158,
0.0705668106675148,
0.24261273443698883,
-0.11140530556440353,
-0.3171199560165405,
0.21794475615024567,
0.016542308032512665,
0.08000080287456512,
0.043573711067438126,
0.44835665822029114,
-0.14847348630428314,
-0.15976785123348236,
-0.004933878779411316,
-0.1632518470287323
] |
https://github.com/huggingface/datasets/issues/166 | Add a method to shuffle a dataset | +1 for the naming convention
About the `shuffle` method, from my understanding it should be done in `Dataloader` (better separation between dataset processing - usage) | Could maybe be a `dataset.shuffle(generator=None, seed=None)` signature method.
Also, we could maybe have a clear indication of which method modify in-place and which methods return/cache a modified dataset. I kinda like torch conversion of having an underscore suffix for all the methods which modify a dataset in-place. What do you think? | 25 | Add a method to shuffle a dataset
Could maybe be a `dataset.shuffle(generator=None, seed=None)` signature method.
Also, we could maybe have a clear indication of which method modify in-place and which methods return/cache a modified dataset. I kinda like torch conversion of having an underscore suffix for all the methods which modify a dataset in-place. What do you think?
+1 for the naming convention
About the `shuffle` method, from my understanding it should be done in `Dataloader` (better separation between dataset processing - usage) | [
0.15341980755329132,
-0.037309981882572174,
-0.06269705295562744,
-0.12907074391841888,
0.17716194689273834,
0.08376326411962509,
0.25355952978134155,
0.23048630356788635,
-0.21282389760017395,
0.3302725851535797,
-0.07075712084770203,
0.7361389994621277,
-0.22251449525356293,
-0.20181241631507874,
0.023780381307005882,
-0.08247515559196472,
0.2442183494567871,
-0.2117859125137329,
-0.16500301659107208,
0.027073252946138382,
-0.11413025110960007,
-0.38973167538642883,
0.023244095966219902,
-0.1421937644481659,
-0.19263304769992828,
-0.04983321949839592,
-0.13309867680072784,
0.04740719124674797,
-0.24616187810897827,
-0.2544476389884949,
-0.46736687421798706,
0.7014350295066833,
-0.1527414321899414,
0.4499368667602539,
-0.00011275450378889218,
-0.29292982816696167,
0.35525086522102356,
0.032352566719055176,
-0.31195342540740967,
0.07475164532661438,
-0.17222630977630615,
-0.07203900814056396,
0.06607125699520111,
-0.20177508890628815,
0.21404647827148438,
0.057774413377046585,
0.056992389261722565,
-0.129842609167099,
0.16466796398162842,
-0.08943448215723038,
0.17472471296787262,
-0.09979461878538132,
-0.3013956844806671,
-0.01625067926943302,
0.5358918309211731,
0.5136160254478455,
-0.15510833263397217,
0.11450301855802536,
0.5382509827613831,
0.3613964915275574,
-0.18806764483451843,
0.15618135035037994,
-0.09367480129003525,
-0.0767192468047142,
0.4886153042316437,
-0.2939813435077667,
-0.5896613001823425,
0.04415925592184067,
0.12085699290037155,
0.17901340126991272,
0.6000992655754089,
-0.20126236975193024,
-0.4169185757637024,
-0.24042931199073792,
0.2678801119327545,
-0.13337333500385284,
0.05386345833539963,
-0.19137103855609894,
-0.012278229929506779,
-0.10944899916648865,
-0.13056576251983643,
-0.15746819972991943,
-0.005667958874255419,
-0.058629631996154785,
0.4977303147315979,
0.5297003388404846,
0.1231476292014122,
-0.01947876624763012,
0.1149403378367424,
0.0041558812372386456,
0.5591574907302856,
-0.10236559063196182,
0.014496291056275368,
0.26156651973724365,
-0.11023624241352081,
-0.10021746903657913,
-0.007673264946788549,
0.25632375478744507,
0.24947910010814667,
0.11320142447948456,
0.30541399121284485,
0.27013713121414185,
-0.06867620348930359,
0.07461683452129364,
-0.06943379342556,
-0.07609081268310547,
0.03268691152334213,
-0.04483657702803612,
0.28886014223098755,
-0.31532323360443115,
0.17996270954608917,
-0.11023584008216858,
-0.151326984167099,
-0.05018084868788719,
0.03848577290773392,
0.12834715843200684,
-0.30146992206573486,
-0.10199952125549316,
0.1980665624141693,
-0.5291101336479187,
0.06318297237157822,
-0.427242636680603,
0.07826317846775055,
0.11914778500795364,
0.29036256670951843,
0.11539556831121445,
-0.15124498307704926,
0.04944971576333046,
0.29246819019317627,
-0.12642426788806915,
-0.06676341593265533,
0.03252582997083664,
-0.4743705093860626,
0.23198041319847107,
0.1612491011619568,
-0.21715739369392395,
0.1098427027463913,
0.08951130509376526,
0.15006819367408752,
0.22949780523777008,
0.16365423798561096,
0.21711936593055725,
0.32886335253715515,
-0.17753833532333374,
-0.448760062456131,
-0.06934994459152222,
-0.09622693806886673,
0.2949220538139343,
-0.29651060700416565,
0.26207271218299866,
-0.2736850678920746,
-0.2621243894100189,
-0.06397705525159836,
0.12658855319023132,
-0.025156455114483833,
-0.10126559436321259,
-0.23621191084384918,
0.20045378804206848,
0.11881707608699799,
-0.3033382296562195,
0.38085198402404785,
0.13568197190761566,
0.18717354536056519,
-0.10355456918478012,
-0.03098028525710106,
0.25986555218696594,
-0.09520675241947174,
-0.02041863091289997,
-0.33892300724983215,
-0.10294383764266968,
0.18109670281410217,
0.11230591684579849,
-0.16153885424137115,
0.023971274495124817,
-0.12279962003231049,
-0.13101059198379517,
0.48198840022087097,
0.21702782809734344,
-0.17160676419734955,
-0.0348060205578804,
-0.15349377691745758,
-0.1682637482881546,
0.5057479739189148,
0.3218179941177368,
-0.07960895448923111,
-0.25737977027893066,
0.28341588377952576,
-0.09260088205337524,
-0.413171648979187,
0.037118930369615555,
-0.2332092672586441,
-0.13467749953269958,
0.3806229829788208,
0.23806552588939667,
-0.09189771860837936,
0.001127741765230894,
0.04510430991649628,
-0.4092567265033722,
0.1858004778623581,
-0.13240307569503784,
-0.12164749950170517,
-0.2527748644351959,
-0.029327258467674255,
0.3391714096069336,
-0.08386564254760742,
-0.0944199189543724,
-0.03489343449473381,
-0.15264250338077545,
0.28662416338920593,
-0.10843127965927124,
0.02840794064104557,
-0.29122623801231384,
0.03806915506720543,
-0.39275699853897095,
-0.004562702961266041,
-0.1235525831580162,
0.03388357162475586,
0.24871081113815308,
-0.2404136210680008,
-0.23405387997627258,
-0.28614458441734314,
-0.19298118352890015,
-0.16904833912849426,
-0.12849821150302887,
-0.22818215191364288,
-0.05662832409143448,
-0.04576092213392258,
-0.04605216905474663,
-0.2763004004955292,
0.20862270891666412,
-0.03019898012280464,
-0.08184048533439636,
-0.17129084467887878,
0.26135414838790894,
0.08896934986114502,
-0.13293997943401337,
0.4365851879119873,
0.34575068950653076,
-0.06262771040201187,
0.09248374402523041,
0.1802338808774948,
-0.05637483298778534,
-0.01670404151082039,
-0.09874457865953445,
-0.29944732785224915,
0.2603793442249298,
-0.26657652854919434,
0.0909133106470108,
-0.2621859908103943,
-0.3188469707965851,
-0.047044787555933,
0.37200841307640076,
-0.2649489939212799,
0.169795423746109,
0.11686860769987106,
0.20927342772483826,
0.3513680398464203,
0.16266904771327972,
-0.32343101501464844,
-0.13951683044433594,
0.26496994495391846,
-0.15998435020446777,
-0.0220340583473444,
0.3419930934906006,
0.2032807618379593,
-0.24940215051174164,
0.14528746902942657,
0.06851331144571304,
0.3731105327606201,
0.3408050239086151,
0.012890034355223179,
0.07192329317331314,
0.27976229786872864,
-0.15011709928512573,
-0.048269931226968765,
0.16651837527751923,
-0.28262200951576233,
-0.011177447624504566,
0.17486043274402618,
0.12027407437562943,
-0.15232893824577332,
-0.38304734230041504,
0.0760490819811821,
0.03220731392502785,
-0.036178816109895706,
-0.07769910246133804,
-0.0185251347720623,
-0.07378356903791428,
-0.200893834233284,
-0.19713079929351807,
-0.3390849828720093,
-0.26242831349372864,
0.2674481272697449,
0.058490827679634094,
-0.2952110171318054,
0.3880605697631836,
0.18326784670352936,
0.5487819314002991,
-0.21524830162525177,
-0.10795997828245163,
-0.3561215400695801,
-0.4411758780479431,
0.12635716795921326,
0.04095596447587013,
0.2258598655462265,
-0.13597309589385986,
0.7025212049484253,
-0.05100417509675026,
-0.07998792827129364,
-0.3822793960571289,
-0.46982985734939575,
-0.08981538563966751,
-0.007440835237503052,
-0.2571098208427429,
0.3828088045120239,
-0.32706019282341003,
0.08849554508924484,
-0.47281867265701294,
-0.06897009909152985,
-0.2552245259284973,
-0.01026111375540495,
0.00735268322750926,
-0.010248886421322823,
0.009277488104999065,
-0.18420124053955078,
-0.29757654666900635,
-0.13124607503414154,
-0.40497979521751404,
0.07406418025493622,
-0.6318069100379944,
-0.050030019134283066,
0.01203717291355133,
-0.286834180355072,
-0.13241486251354218,
-0.22056840360164642,
0.16136981546878815,
-0.13669824600219727,
-0.7596734762191772,
0.19291138648986816,
-0.20223389565944672,
0.057574741542339325,
-0.14220532774925232,
-0.06971224397420883,
0.028892502188682556,
0.6446996331214905,
0.2754819989204407,
-0.1669301837682724,
0.14853544533252716,
0.2016545683145523,
-0.0016153764445334673,
0.15614508092403412,
0.34704461693763733,
0.2847755551338196,
-0.12292229384183884,
0.062341753393411636,
-0.2354121208190918,
-0.11293711513280869,
-0.10726990550756454,
0.31545358896255493,
0.10719183832406998,
0.3211008906364441,
0.016647305339574814,
0.6867966651916504,
-0.6602863073348999,
-0.09058065712451935,
0.019348733127117157,
0.2002178281545639,
0.13724686205387115,
-0.06796826422214508,
-0.09096956253051758,
0.5424608588218689,
0.24561846256256104,
-0.3071582019329071,
0.1921602338552475,
-0.04839325323700905,
-0.16012294590473175,
0.03776339441537857,
0.13110794126987457,
-0.14749839901924133,
-0.1425306349992752,
0.3427988290786743,
-0.3273088335990906,
0.08625153452157974,
-0.04006374254822731,
0.17369869351387024,
-0.295199453830719,
0.00426009064540267,
0.14684410393238068,
0.20264197885990143,
0.32880911231040955,
-0.27043139934539795,
-0.43609878420829773,
-0.02117975614964962,
-0.12659446895122528,
0.2958836257457733,
0.24746254086494446,
0.12883813679218292,
-0.013604347594082355,
-0.1818046122789383,
0.122365303337574,
0.25762298703193665,
0.4825326204299927,
-0.24698956310749054,
-0.28336101770401,
-0.005569244269281626,
-0.016896691173315048,
-0.11249516159296036,
0.015213599428534508,
-0.07555719465017319,
0.14184704422950745,
0.07289339601993561,
0.0938347727060318,
-0.22726136445999146,
-0.17682978510856628,
0.1136343851685524,
0.19612251222133636,
0.16109341382980347,
-0.33927229046821594,
-0.0829639583826065,
-0.16535867750644684,
-0.15990160405635834,
0.19259148836135864,
-0.023795219138264656,
-0.3008369505405426,
-0.05560804530978203,
0.058830611407756805,
-0.03348199650645256,
0.3097735643386841,
0.02668420597910881,
0.12922686338424683,
0.03208744525909424,
0.12182671576738358,
0.044979773461818695,
0.01223845686763525,
0.37701883912086487,
0.4276655912399292,
-0.20563429594039917,
-0.48697629570961,
-0.1709441989660263,
0.014515101909637451,
-0.5441600680351257,
0.24406953155994415,
0.23828573524951935,
0.251432329416275,
0.29675278067588806,
-0.1404077261686325,
0.17606545984745026,
-0.21850675344467163,
0.07353833317756653,
0.05243738368153572,
0.00740347895771265,
-0.5293939709663391,
-0.9117101430892944,
0.5416221022605896,
0.37718671560287476,
-0.32241395115852356,
0.5554153919219971,
0.0005211685784161091,
-0.2684890329837799,
0.4150931239128113,
0.29519858956336975,
1.205547571182251,
-0.08146879076957703,
0.18745920062065125,
-0.029216691851615906,
-0.37673425674438477,
0.2766074538230896,
-0.180907741189003,
0.14940035343170166,
-0.12933886051177979,
-0.39364683628082275,
0.05398144572973251,
-0.08897192031145096,
0.07474023103713989,
0.3279806673526764,
-0.12489799410104752,
0.34531211853027344,
-0.3932631015777588,
0.1730789691209793,
0.1445835828781128,
0.12142428010702133,
-0.24394623935222626,
-0.2914193272590637,
-0.08227930217981339,
0.07282450050115585,
-0.09159094840288162,
-0.21026641130447388,
-0.033486444503068924,
-0.005069646518677473,
-0.0670088455080986,
0.14088669419288635,
-0.1443738341331482,
-0.30578505992889404,
0.15224625170230865,
-0.08004232496023178,
-0.2814943492412567,
-0.1759495884180069,
0.44333285093307495,
0.10858900099992752,
0.2535838484764099,
0.07984964549541473,
0.16678926348686218,
0.2920086681842804,
0.0875646248459816,
0.40555620193481445,
-0.09556896984577179,
-0.08928154408931732,
0.10746969282627106,
0.08212101459503174,
-0.04872202128171921,
0.030049020424485207,
0.11088273674249649,
-0.4286024272441864,
-0.529884397983551,
-0.08485477417707443,
0.5617538094520569,
-0.1269349604845047,
0.09261056035757065,
0.01875244453549385,
-0.10598676651716232,
-0.017499925568699837,
0.13704335689544678,
0.2787863612174988,
-0.25865602493286133,
0.3623964190483093,
-0.21821698546409607,
0.019990630447864532,
-0.12006457149982452,
0.10490286350250244,
-0.2883319556713104,
-0.12774567306041718,
0.21792304515838623,
-0.21949732303619385,
-0.1973455548286438,
-0.1657760590314865,
0.11748882383108139,
0.23314915597438812,
-0.004313383251428604,
0.03345128893852234,
-0.13740426301956177,
-0.2781904935836792,
-0.15487925708293915,
-0.1567090004682541,
0.21951714158058167,
0.34901174902915955,
-0.03535425290465355,
0.11037494987249374,
-0.46019017696380615,
0.07673456519842148,
0.17053338885307312,
0.3398685157299042,
-0.1675647348165512,
-0.046649154275655746,
-0.1151118054986,
-0.01923518255352974,
-0.3286210000514984,
-0.14945915341377258,
0.2203100472688675,
0.2718961536884308,
0.009397551417350769,
0.22101406753063202,
-0.20140770077705383,
-0.24054917693138123,
0.06552603840827942,
0.06110499054193497,
-0.018643315881490707,
-0.14807042479515076,
-0.13654357194900513,
0.11171066015958786,
-0.07000500708818436,
0.22942933440208435,
0.20375727117061615,
-0.0818171352148056,
-0.0028205697890371084,
-0.25039294362068176,
0.026482373476028442,
0.2947494089603424,
0.005087785888463259,
0.4968263804912567,
0.6184056997299194,
0.08185280114412308,
-0.21739862859249115,
0.2066221982240677,
-0.02550266683101654,
0.03144066780805588,
0.12063372135162354,
0.14772583544254303,
-0.02656259946525097,
-0.020382247865200043,
0.11907122284173965,
0.3216325640678406,
0.18479935824871063,
0.06783641874790192,
-0.09052778780460358,
0.2885018587112427,
0.19308529794216156,
0.4536784887313843,
0.099522665143013,
0.4589994549751282,
0.001219184952788055,
-0.3575811982154846,
0.4314950704574585,
0.20655803382396698,
-0.0190287996083498,
-0.07362867891788483,
-0.2535403072834015,
-0.005758689250797033,
0.08054933696985245,
-0.005396639462560415,
-0.2296503484249115,
0.015039621852338314,
-0.3449499309062958,
-0.07759948074817657,
0.14512372016906738,
-0.4788013696670532,
0.39619380235671997,
0.3324783742427826,
-0.12170477211475372,
-0.027955887839198112,
0.3708789646625519,
0.009444385766983032,
-0.26959073543548584,
0.1324603259563446,
0.4628450870513916,
0.9553405046463013,
0.326776385307312,
0.16063319146633148,
0.13742738962173462,
0.14922742545604706,
0.1605956107378006,
0.6927059888839722,
0.3411797285079956,
0.08903813362121582,
0.385088711977005,
0.22731800377368927,
0.14771723747253418,
-0.3402741849422455,
0.27715712785720825,
0.07764463126659393,
0.2560737431049347,
0.030500371009111404,
-0.0663548931479454,
-0.19421172142028809,
-0.25191745162010193,
-0.08347728103399277,
0.01261717639863491,
0.051534753292798996,
0.5799619555473328,
0.2349967658519745,
0.2591428756713867,
-0.35283297300338745,
0.12664280831813812,
0.27182677388191223,
0.44117575883865356,
-0.15010924637317657,
-0.4055158793926239,
0.142024427652359,
-0.17151236534118652,
0.7451763153076172,
-0.019770467653870583,
-0.0012754487106576562,
0.24583126604557037,
0.029737232252955437,
0.11833087354898453,
-0.3746960461139679,
-0.03710116073489189,
-0.015620614401996136,
0.12326820939779282,
0.14358218014240265,
-0.17992940545082092,
-0.012089768424630165,
0.17657983303070068,
-0.14344380795955658,
0.07518966495990753,
-0.07518370449542999,
-0.046274349093437195,
-0.18357498943805695,
0.3442081809043884,
0.49961674213409424,
-0.30887570977211,
0.10623538494110107,
-0.0849187821149826,
-0.19567659497261047,
-0.1527647078037262,
0.040559399873018265,
0.16102319955825806,
-0.2053283303976059,
0.09134728461503983,
0.05906746909022331,
0.29307594895362854,
0.2837912142276764,
0.2766536772251129,
-0.0072680008597671986,
-0.14981047809123993,
-0.3939853012561798,
-0.38947126269340515,
-0.13016000390052795,
0.4760107100009918,
0.003611741354689002,
-0.0354774184525013,
-0.18319879472255707,
0.03684157878160477,
-0.06707989424467087,
0.14567480981349945,
-0.12240808457136154,
0.05333174020051956,
0.1979421228170395,
-0.3570575416088104,
-0.12122110277414322,
-0.1313953697681427,
-0.022572530433535576,
0.18365547060966492,
-0.06100409850478172,
-0.306797593832016,
0.4100828766822815,
0.044131744652986526,
-0.3097112476825714,
0.14482349157333374,
0.06988386064767838,
0.11397387087345123,
0.21174189448356628,
-0.019559452310204506,
0.388077974319458,
-0.002460102317854762,
-0.18213070929050446,
0.02638501115143299,
-0.14211727678775787,
-0.5724024772644043,
0.12119142711162567,
0.0075441873632371426,
-0.011270591989159584,
-0.0383661650121212,
-0.20877611637115479,
-0.44213390350341797,
0.5485702157020569,
-0.35532131791114807,
0.08550769835710526,
-0.7277726531028748,
0.15805144608020782,
0.24726291000843048,
0.08188704401254654,
-0.04858022928237915,
0.11439915746450424,
0.0510067418217659,
0.27076035737991333,
-0.22954663634300232,
0.19431641697883606,
0.5219246745109558,
0.16950589418411255,
-0.24273888766765594,
-0.3214069604873657,
0.21311461925506592,
-0.08961247652769089,
0.02953283116221428,
-0.3195727467536926,
-0.08377420902252197,
0.23225107789039612,
0.003436184022575617,
0.07984823733568192,
0.383951872587204,
0.12844973802566528,
-0.04665743559598923,
-0.22277213633060455,
-0.0014488390879705548,
-0.12010563164949417,
-0.030344294384121895,
-0.11485431343317032,
-0.2884332537651062
] |
https://github.com/huggingface/datasets/issues/166 | Add a method to shuffle a dataset | +1 for shuffle in `Dataloader`.
Some `Dataloader` just store idxs of dataset and just shuffle those idxs, which might(?) be faster than do shuffle in dataset, especially when doing shuffle every epoch.
Also +1 for the naming convention. | Could maybe be a `dataset.shuffle(generator=None, seed=None)` signature method.
Also, we could maybe have a clear indication of which method modify in-place and which methods return/cache a modified dataset. I kinda like torch conversion of having an underscore suffix for all the methods which modify a dataset in-place. What do you think? | 38 | Add a method to shuffle a dataset
Could maybe be a `dataset.shuffle(generator=None, seed=None)` signature method.
Also, we could maybe have a clear indication of which method modify in-place and which methods return/cache a modified dataset. I kinda like torch conversion of having an underscore suffix for all the methods which modify a dataset in-place. What do you think?
+1 for shuffle in `Dataloader`.
Some `Dataloader` just store idxs of dataset and just shuffle those idxs, which might(?) be faster than do shuffle in dataset, especially when doing shuffle every epoch.
Also +1 for the naming convention. | [
0.07046911120414734,
0.016060497611761093,
-0.08107688277959824,
-0.13309356570243835,
0.1867508590221405,
-0.018764972686767578,
0.36125412583351135,
0.24943767488002777,
-0.13167954981327057,
0.39812397956848145,
-0.11517035216093063,
0.7459425926208496,
-0.32974597811698914,
-0.2149703949689865,
-0.04452412948012352,
-0.07981546223163605,
0.2653796076774597,
-0.10314817726612091,
-0.20524269342422485,
0.05622423440217972,
-0.12470738589763641,
-0.3481490910053253,
0.02367376908659935,
-0.14052952826023102,
-0.08968815952539444,
0.01218604575842619,
-0.11303704977035522,
0.07146795094013214,
-0.273320734500885,
-0.21861381828784943,
-0.445068895816803,
0.7157345414161682,
-0.1049824059009552,
0.5668812394142151,
-0.00010911504068644717,
-0.25887197256088257,
0.34147241711616516,
0.032926879823207855,
-0.3560408055782318,
0.14131318032741547,
-0.13315828144550323,
-0.0783197209239006,
0.03868082910776138,
-0.2729431986808777,
0.22207041084766388,
-0.034398388117551804,
0.11589914560317993,
-0.11278633028268814,
0.11098942905664444,
-0.14737366139888763,
0.18193326890468597,
-0.09936544299125671,
-0.3846821188926697,
0.0020909288432449102,
0.5785194635391235,
0.4610337018966675,
-0.20912036299705505,
0.18245267868041992,
0.5745747685432434,
0.3853919804096222,
-0.33382847905158997,
0.19154955446720123,
-0.13094298541545868,
-0.10194747895002365,
0.5779693722724915,
-0.30015528202056885,
-0.539605438709259,
0.06476461887359619,
-0.03939216956496239,
0.20368947088718414,
0.6476196050643921,
-0.1902359127998352,
-0.4480341672897339,
-0.15105906128883362,
0.18167026340961456,
-0.04967651888728142,
0.030789978802204132,
-0.2421192079782486,
-0.019576311111450195,
-0.0853261724114418,
-0.037378471344709396,
-0.11297043412923813,
-0.00256237736903131,
-0.13636109232902527,
0.4217974543571472,
0.5597809553146362,
0.15498225390911102,
-0.02861437201499939,
0.23609445989131927,
-0.02223958633840084,
0.5372044444084167,
-0.06967498362064362,
0.07333335280418396,
0.2372979074716568,
-0.21732088923454285,
-0.18081369996070862,
-0.01553327776491642,
0.21171049773693085,
0.18797318637371063,
0.10574372857809067,
0.3026648759841919,
0.2721395790576935,
0.013139449991285801,
0.1095648929476738,
-0.11448836326599121,
-0.03855234757065773,
0.033464789390563965,
-0.10943514108657837,
0.3762948215007782,
-0.22859545052051544,
0.1526610553264618,
-0.0816257894039154,
-0.2623734772205353,
-0.017839159816503525,
0.10215211659669876,
0.1414058655500412,
-0.41330796480178833,
0.05687219277024269,
0.17915013432502747,
-0.49136921763420105,
0.15620632469654083,
-0.4261990189552307,
0.10317118465900421,
0.18962278962135315,
0.18701602518558502,
0.13204005360603333,
-0.1550372987985611,
-0.012790009379386902,
0.21155139803886414,
-0.1847407966852188,
-0.10223614424467087,
0.04918687418103218,
-0.507145881652832,
0.21948522329330444,
0.10138154774904251,
-0.20319077372550964,
0.11597611010074615,
0.03873945400118828,
0.13651782274246216,
0.3439455032348633,
0.1533028483390808,
0.20069316029548645,
0.1924789696931839,
-0.25562238693237305,
-0.43917229771614075,
-0.1295638084411621,
-0.14438511431217194,
0.3152361512184143,
-0.2803954780101776,
0.24230872094631195,
-0.29306846857070923,
-0.23662246763706207,
-0.11380854994058609,
0.17173616588115692,
-0.0018634925363585353,
-0.061999328434467316,
-0.22932656109333038,
0.24639564752578735,
0.07400444895029068,
-0.30563902854919434,
0.4155261516571045,
0.07851913571357727,
0.17123475670814514,
-0.1233358383178711,
-0.07254987210035324,
0.2618195116519928,
-0.11127045750617981,
-0.018436439335346222,
-0.2302527278661728,
-0.16228745877742767,
0.2056487798690796,
0.1142255887389183,
-0.1920030117034912,
0.007894791662693024,
-0.141953244805336,
-0.14744576811790466,
0.4907088577747345,
0.1812632828950882,
-0.15881480276584625,
-0.012354603968560696,
-0.11443611979484558,
-0.10257530212402344,
0.6056383848190308,
0.3467119634151459,
0.056494370102882385,
-0.3341640532016754,
0.28792890906333923,
-0.06120159849524498,
-0.3102134168148041,
0.09815284609794617,
-0.22475828230381012,
-0.11841282248497009,
0.38146352767944336,
0.26114967465400696,
-0.12281882017850876,
-0.009176995605230331,
0.005660836584866047,
-0.3373621702194214,
0.19471324980258942,
-0.1716936081647873,
-0.07312598079442978,
-0.2363463193178177,
-0.08199675381183624,
0.30896949768066406,
-0.015054577961564064,
-0.06498894095420837,
-0.0631176233291626,
-0.11575783789157867,
0.2917594611644745,
0.01764991320669651,
0.1858094483613968,
-0.28128284215927124,
0.02902127616107464,
-0.298960417509079,
-0.015439005568623543,
-0.17469626665115356,
0.06162843480706215,
0.2616628110408783,
-0.2221287339925766,
-0.24753659963607788,
-0.2646149694919586,
-0.17950385808944702,
-0.27028486132621765,
-0.16231724619865417,
-0.25778427720069885,
-0.10035726428031921,
-0.04210984706878662,
0.027301941066980362,
-0.21384727954864502,
0.22047048807144165,
-0.130250483751297,
-0.07318146526813507,
-0.15486404299736023,
0.24804937839508057,
0.11062821000814438,
0.0012288902653381228,
0.30390554666519165,
0.3766377866268158,
-0.023014141246676445,
0.0787244364619255,
0.3076276183128357,
-0.08393970876932144,
0.012866821140050888,
-0.11360371112823486,
-0.2761874496936798,
0.25423145294189453,
-0.23281945288181305,
0.08788284659385681,
-0.2713022530078888,
-0.3496970236301422,
-0.008261473849415779,
0.359683096408844,
-0.33686259388923645,
0.2372020184993744,
0.12871108949184418,
0.2788377106189728,
0.4074001610279083,
0.2508472204208374,
-0.3290271461009979,
-0.1328149288892746,
0.3740353286266327,
-0.12329505383968353,
-0.07980760931968689,
0.3697067201137543,
0.12849660217761993,
-0.2949620187282562,
0.1104046106338501,
0.08891547471284866,
0.3699173033237457,
0.34708455204963684,
0.0725460797548294,
-0.03381386026740074,
0.33118048310279846,
-0.13318000733852386,
-0.010054422542452812,
0.09692011773586273,
-0.13696539402008057,
-0.020879527553915977,
0.10166261345148087,
0.058117788285017014,
-0.19984035193920135,
-0.5052341818809509,
0.03356492146849632,
0.09178820252418518,
0.03976175934076309,
-0.07727978378534317,
0.05568936839699745,
-0.05265926569700241,
-0.14146274328231812,
-0.1758357286453247,
-0.28012600541114807,
-0.2714926302433014,
0.25312918424606323,
0.10748493671417236,
-0.33829304575920105,
0.33368685841560364,
0.18314313888549805,
0.531672477722168,
-0.1584073305130005,
-0.058418627828359604,
-0.3735503554344177,
-0.4471939504146576,
0.15386396646499634,
0.07673260569572449,
0.22851309180259705,
-0.18271352350711823,
0.6215425133705139,
-0.03552662953734398,
-0.063880056142807,
-0.3513755798339844,
-0.3830469250679016,
-0.06246757507324219,
-0.0042406488209962845,
-0.2293923795223236,
0.3913438022136688,
-0.2218208909034729,
0.11684223264455795,
-0.4907086491584778,
-0.005511086899787188,
-0.31851720809936523,
-0.10767810791730881,
0.02714819461107254,
0.025268299505114555,
0.013321924954652786,
-0.16682860255241394,
-0.24212731420993805,
-0.1718025505542755,
-0.4843711256980896,
0.03587116673588753,
-0.5416010022163391,
-0.0025587088894098997,
0.013053643517196178,
-0.2118820995092392,
-0.10356830805540085,
-0.11099376529455185,
0.15742072463035583,
-0.154494047164917,
-0.8162312507629395,
0.22808250784873962,
-0.1825128197669983,
0.07005339115858078,
-0.22892823815345764,
-0.11542683094739914,
0.08359403163194656,
0.6077491641044617,
0.2217944711446762,
-0.06396849453449249,
0.13453032076358795,
0.13789765536785126,
0.039365001022815704,
0.16842596232891083,
0.2622101604938507,
0.30263346433639526,
-0.18170034885406494,
0.02077954076230526,
-0.22535987198352814,
-0.08990482985973358,
-0.12235324084758759,
0.2259427011013031,
0.17040754854679108,
0.36077171564102173,
-0.015084953047335148,
0.739267110824585,
-0.6775938272476196,
-0.053754765540361404,
-0.02820468693971634,
0.1690758764743805,
0.1355459839105606,
-0.031218798831105232,
-0.14977462589740753,
0.5597658157348633,
0.21935677528381348,
-0.30563148856163025,
0.2308705598115921,
-0.08712230622768402,
-0.24886932969093323,
-0.011342350393533707,
0.0699889287352562,
-0.041593998670578,
-0.0578061081469059,
0.3630124628543854,
-0.30870166420936584,
0.013248709961771965,
-0.06105046346783638,
0.12251829355955124,
-0.326917827129364,
0.009556652046740055,
0.15242880582809448,
0.22981391847133636,
0.26550573110580444,
-0.24354426562786102,
-0.4098934829235077,
0.04423016309738159,
-0.21469588577747345,
0.1624688357114792,
0.2266131341457367,
0.07951004803180695,
0.09746851772069931,
-0.27765214443206787,
0.0666256695985794,
0.20896762609481812,
0.5011020302772522,
-0.12202287465333939,
-0.2938186228275299,
-0.018135465681552887,
-0.035046596080064774,
-0.08999684453010559,
-0.02498531900346279,
-0.11665723472833633,
0.12557902932167053,
0.020660780370235443,
0.097683846950531,
-0.26590216159820557,
-0.16656813025474548,
0.0744640976190567,
0.13256339728832245,
0.07664009183645248,
-0.33591681718826294,
-0.14411619305610657,
-0.0007811808027327061,
-0.15488092601299286,
0.17788535356521606,
-0.09627881646156311,
-0.2856132984161377,
-0.061437275260686874,
-0.021943526342511177,
0.03640851005911827,
0.2939797043800354,
0.07353529334068298,
0.21434831619262695,
0.05764323100447655,
0.07084579020738602,
0.048228438943624496,
-0.06505824625492096,
0.2817291021347046,
0.43656736612319946,
-0.14282384514808655,
-0.4651133418083191,
-0.10632561892271042,
0.13580022752285004,
-0.4808529317378998,
0.2497146874666214,
0.11656679213047028,
0.21496322751045227,
0.1901760697364807,
-0.14731983840465546,
0.21787600219249725,
-0.26834022998809814,
-0.010570462793111801,
0.06111469119787216,
0.0282115638256073,
-0.4887731075286865,
-0.9323244690895081,
0.5213589668273926,
0.36476418375968933,
-0.2582475244998932,
0.5743241310119629,
0.004262933041900396,
-0.20411065220832825,
0.4123575985431671,
0.3018024265766144,
1.151923656463623,
-0.09614524990320206,
0.2185094952583313,
0.10118727385997772,
-0.2109861522912979,
0.2955073416233063,
-0.22981436550617218,
0.15573978424072266,
-0.15916015207767487,
-0.3745519518852234,
0.06611080467700958,
-0.13276307284832,
0.049897048622369766,
0.26341700553894043,
-0.2560465931892395,
0.2536979615688324,
-0.30841678380966187,
0.23445896804332733,
0.020436536520719528,
0.19144269824028015,
-0.28746286034584045,
-0.32861530780792236,
-0.050824135541915894,
0.09983649849891663,
-0.05817970260977745,
-0.300087571144104,
-0.04737616330385208,
-0.0546853132545948,
-0.09370715171098709,
0.20287580788135529,
-0.10154663026332855,
-0.25969353318214417,
0.13058173656463623,
-0.05969173461198807,
-0.26577726006507874,
-0.09930046647787094,
0.366740882396698,
0.03436373174190521,
0.12549418210983276,
-0.014878549613058567,
0.15132851898670197,
0.24826094508171082,
0.03901851549744606,
0.4666064381599426,
-0.04503755643963814,
-0.13180342316627502,
0.2440778762102127,
0.06336638331413269,
0.005416215397417545,
0.04518687725067139,
0.11685121804475784,
-0.4874970316886902,
-0.42852020263671875,
-0.04317472130060196,
0.5997399687767029,
-0.1540207862854004,
0.11646611988544464,
0.049157384783029556,
-0.19502560794353485,
-0.04816142097115517,
0.15840928256511688,
0.2610594928264618,
-0.23258595168590546,
0.2867862582206726,
-0.12047930806875229,
0.04268612340092659,
-0.12510357797145844,
0.08967906981706619,
-0.16128090023994446,
-0.11361168324947357,
0.19274280965328217,
-0.23611854016780853,
-0.280558705329895,
-0.19183996319770813,
0.15163587033748627,
0.21312901377677917,
-0.029194459319114685,
0.1103459894657135,
-0.23565159738063812,
-0.3742777705192566,
-0.0794694721698761,
-0.19264288246631622,
0.2327069342136383,
0.3861812651157379,
-0.07074157148599625,
0.1231982409954071,
-0.493431955575943,
0.08805893361568451,
0.09681469202041626,
0.35483744740486145,
-0.2407088279724121,
-0.09278304874897003,
-0.10960792005062103,
-0.01845543645322323,
-0.3788086771965027,
-0.25162872672080994,
0.15548302233219147,
0.19931134581565857,
0.008189604617655277,
0.11616213619709015,
-0.22874008119106293,
-0.10670087486505508,
0.09685711562633514,
0.08086853474378586,
-0.0796147882938385,
-0.1717635840177536,
-0.17849396169185638,
0.09644435346126556,
-0.09953492879867554,
0.21651533246040344,
0.21649381518363953,
-0.06108001992106438,
-0.09319717437028885,
-0.24933065474033356,
0.0512288436293602,
0.26158323884010315,
-0.059605903923511505,
0.4868052005767822,
0.6710013151168823,
0.09724459797143936,
-0.2060214877128601,
0.1600845605134964,
0.07366198301315308,
0.0598275288939476,
0.0875624343752861,
0.12772886455059052,
-0.036418233066797256,
-0.09296619147062302,
0.10473310947418213,
0.43972092866897583,
0.15501375496387482,
0.13724665343761444,
-0.002952976617962122,
0.2808755934238434,
0.19764983654022217,
0.3586435914039612,
0.18620434403419495,
0.4341937303543091,
0.041120536625385284,
-0.3968985974788666,
0.4125511944293976,
0.2342456579208374,
-0.03565257787704468,
-0.13068020343780518,
-0.20733655989170074,
-0.11624646931886673,
0.13849018514156342,
0.01038201991468668,
-0.14836159348487854,
0.006765217985957861,
-0.21708597242832184,
-0.13100185990333557,
0.0985453873872757,
-0.4322226643562317,
0.3699081540107727,
0.24644213914871216,
-0.10153907537460327,
-0.07392758131027222,
0.44252723455429077,
0.01766732707619667,
-0.18382646143436432,
0.16107520461082458,
0.3885464668273926,
0.8879129886627197,
0.3873404860496521,
0.14933794736862183,
0.09435481578111649,
0.17374666035175323,
0.14424842596054077,
0.7236197590827942,
0.23297740519046783,
0.11240517348051071,
0.3068797290325165,
0.2533046007156372,
0.10200030356645584,
-0.22233836352825165,
0.27811336517333984,
0.14876244962215424,
0.1322818249464035,
0.01139193493872881,
-0.03571079671382904,
-0.22587217390537262,
-0.3367291986942291,
-0.09032930433750153,
-0.013228057883679867,
0.08498972654342651,
0.5246777534484863,
0.1999397873878479,
0.2989272177219391,
-0.2885635495185852,
0.1400090605020523,
0.20761993527412415,
0.434596985578537,
-0.21771687269210815,
-0.42913103103637695,
0.1927117109298706,
-0.11657316982746124,
0.6738451719284058,
0.05358901247382164,
-0.03115135058760643,
0.2896180748939514,
0.05447361245751381,
0.074894979596138,
-0.3837047219276428,
-0.03711368143558502,
-0.06795184314250946,
0.10829351842403412,
0.10009725391864777,
-0.23522496223449707,
0.041720930486917496,
0.17708905041217804,
-0.19993330538272858,
0.01671491377055645,
0.03517809882760048,
-0.14711080491542816,
-0.12542842328548431,
0.23321986198425293,
0.5211764574050903,
-0.23741331696510315,
0.10508289188146591,
-0.020696256309747696,
-0.3141877055168152,
-0.1590210646390915,
-0.0296090766787529,
0.0701117143034935,
-0.16472966969013214,
0.047691710293293,
0.08573605120182037,
0.24409615993499756,
0.3486327528953552,
0.27942270040512085,
0.009575264528393745,
-0.11959245800971985,
-0.41816869378089905,
-0.40806201100349426,
-0.1301291435956955,
0.44738802313804626,
0.02127646468579769,
-0.023290976881980896,
-0.03652353212237358,
0.03883378207683563,
-0.039017993956804276,
0.16553053259849548,
-0.13707773387432098,
0.01628235913813114,
0.11755911260843277,
-0.36923354864120483,
-0.10993676632642746,
-0.09451630711555481,
-0.0524839386343956,
0.18723364174365997,
-0.12909874320030212,
-0.2749149203300476,
0.31997251510620117,
0.10629604756832123,
-0.24907800555229187,
0.09010932594537735,
0.15677808225154877,
0.18383319675922394,
0.2313622534275055,
-0.10574964433908463,
0.22225689888000488,
-0.013971598818898201,
-0.18763765692710876,
0.06642043590545654,
-0.08607617020606995,
-0.4891238510608673,
0.009831330738961697,
0.0942465141415596,
0.08463631570339203,
-0.02032407931983471,
-0.22575277090072632,
-0.4579549729824066,
0.5146232843399048,
-0.3050031065940857,
0.08379428833723068,
-0.7182447910308838,
0.2188802808523178,
0.23858249187469482,
0.05179176479578018,
-0.15571339428424835,
0.12745331227779388,
0.1018626019358635,
0.22148765623569489,
-0.3064771294593811,
0.16515332460403442,
0.44851773977279663,
0.10766973346471786,
-0.23511825501918793,
-0.28615665435791016,
0.1609083116054535,
-0.043487146496772766,
0.17592766880989075,
-0.30663496255874634,
0.002416707342490554,
0.21606115996837616,
0.011468611657619476,
0.10717825591564178,
0.4145711660385132,
0.05682259052991867,
0.005425390787422657,
-0.20953324437141418,
0.02015521004796028,
-0.14458610117435455,
-0.030570605769753456,
-0.11404632031917572,
-0.28600773215293884
] |
https://github.com/huggingface/datasets/issues/166 | Add a method to shuffle a dataset | As you might already know the issue of dataset shuffling came up in the nlp code [walkthrough](https://youtu.be/G3pOvrKkFuk?t=3204) by Yannic Kilcher
| Could maybe be a `dataset.shuffle(generator=None, seed=None)` signature method.
Also, we could maybe have a clear indication of which method modify in-place and which methods return/cache a modified dataset. I kinda like torch conversion of having an underscore suffix for all the methods which modify a dataset in-place. What do you think? | 20 | Add a method to shuffle a dataset
Could maybe be a `dataset.shuffle(generator=None, seed=None)` signature method.
Also, we could maybe have a clear indication of which method modify in-place and which methods return/cache a modified dataset. I kinda like torch conversion of having an underscore suffix for all the methods which modify a dataset in-place. What do you think?
As you might already know the issue of dataset shuffling came up in the nlp code [walkthrough](https://youtu.be/G3pOvrKkFuk?t=3204) by Yannic Kilcher
| [
0.11682182550430298,
0.047994934022426605,
-0.008072469383478165,
-0.2174368053674698,
0.12888213992118835,
0.02868986316025257,
0.13635922968387604,
0.36064305901527405,
-0.2647390365600586,
0.2979814112186432,
0.011636115610599518,
0.8511587381362915,
-0.35360419750213623,
-0.23209847509860992,
0.2013930380344391,
-0.07049967348575592,
0.15841278433799744,
-0.10356619209051132,
-0.24149124324321747,
0.05236378312110901,
-0.13913819193840027,
-0.3828112781047821,
-0.07822736352682114,
-0.20003661513328552,
-0.13133969902992249,
-0.09400425106287003,
-0.08385585993528366,
0.13230076432228088,
-0.1840188354253769,
-0.29359665513038635,
-0.4079645872116089,
0.6355045437812805,
-0.10218527168035507,
0.14192359149456024,
-0.00010813648987095803,
-0.27224454283714294,
0.32626375555992126,
0.1310778707265854,
-0.4321398437023163,
0.04468626528978348,
-0.08185317367315292,
-0.09962701797485352,
0.00863680150359869,
-0.1526377946138382,
0.06552902609109879,
0.13389582931995392,
0.16543442010879517,
-0.14641205966472626,
0.24235843122005463,
0.050310149788856506,
0.20914483070373535,
-0.03290902450680733,
-0.19010041654109955,
0.15847380459308624,
0.5000157952308655,
0.4068683385848999,
-0.10122709721326828,
0.028628354892134666,
0.4395243227481842,
0.22933202981948853,
-0.26579925417900085,
0.2744676470756531,
-0.06643842905759811,
-0.18149198591709137,
0.3078679144382477,
-0.28791841864585876,
-0.5689671039581299,
0.07428515702486038,
0.0025417557917535305,
0.17878617346286774,
0.5037117004394531,
-0.285334974527359,
-0.39036983251571655,
-0.35262981057167053,
0.33025169372558594,
-0.18849986791610718,
0.019990336149930954,
-0.09641754627227783,
-0.05681654065847397,
-0.065743088722229,
-0.24524752795696259,
-0.15989483892917633,
0.03680567443370819,
-0.02175346575677395,
0.5161421298980713,
0.6055989861488342,
0.20056715607643127,
-0.0033857650123536587,
0.2449982762336731,
0.08339690417051315,
0.5854989886283875,
-0.009341344237327576,
0.03303399682044983,
0.29964423179626465,
-0.14720872044563293,
-0.20837311446666718,
0.055004023015499115,
0.29483696818351746,
0.23643532395362854,
0.14461302757263184,
0.32707303762435913,
0.28509965538978577,
-0.0413028784096241,
0.03735368326306343,
0.005551974754780531,
0.03812026232481003,
-0.05310165882110596,
0.054955754429101944,
0.28106892108917236,
-0.3015076518058777,
0.23124872148036957,
0.00397071847692132,
-0.049036744982004166,
-0.08059734851121902,
-0.010976872406899929,
0.13244368135929108,
-0.1945452243089676,
-0.06849855929613113,
0.03612923249602318,
-0.581583559513092,
-0.04963230341672897,
-0.3245076835155487,
0.14889627695083618,
0.10779424756765366,
0.27703598141670227,
0.14072154462337494,
-0.10792281478643417,
-0.04817373305559158,
0.1835097372531891,
-0.2393871545791626,
-0.10505368560552597,
0.025838855654001236,
-0.49392688274383545,
0.17078785598278046,
0.17374014854431152,
-0.07522283494472504,
0.13901478052139282,
0.11294428259134293,
0.06702842563390732,
0.23749524354934692,
0.07884696871042252,
0.2658466696739197,
0.40570104122161865,
-0.2036510705947876,
-0.438070684671402,
-0.13343015313148499,
-0.10840387642383575,
0.2805593013763428,
-0.37445250153541565,
0.2528228461742401,
-0.2730662226676941,
-0.23034346103668213,
-0.09223329275846481,
0.15652374923229218,
-0.09696920216083527,
-0.2698228359222412,
-0.1759152114391327,
0.3530564308166504,
0.06264561414718628,
-0.4234466850757599,
0.3546224534511566,
0.07788459211587906,
0.062280479818582535,
-0.004047938622534275,
0.013162248767912388,
0.31766319274902344,
0.046954430639743805,
0.020499443635344505,
-0.24038155376911163,
0.001836559153161943,
0.2378980815410614,
0.23913849890232086,
-0.1998988687992096,
-0.021302664652466774,
-0.1616418957710266,
-0.06126968190073967,
0.5229774713516235,
0.1896459311246872,
-0.20807014405727386,
0.013186221942305565,
-0.20950424671173096,
-0.09727875143289566,
0.4091677963733673,
0.3883785009384155,
-0.12241657078266144,
-0.3362310230731964,
0.2075742483139038,
0.11739445477724075,
-0.4104662239551544,
0.14842136204242706,
-0.35707616806030273,
-0.07999227941036224,
0.4687561094760895,
0.3144294023513794,
-0.24346399307250977,
0.0008652854594402015,
0.07365517318248749,
-0.15948039293289185,
0.294075608253479,
-0.1337457299232483,
-0.13703735172748566,
-0.23566249012947083,
-0.0692659467458725,
0.12855036556720734,
-0.17178983986377716,
-0.11686261743307114,
-0.10402937233448029,
-0.23739519715309143,
0.22362865507602692,
-0.05178000032901764,
0.11644184589385986,
-0.285942405462265,
0.08745825290679932,
-0.33856984972953796,
0.07401040941476822,
-0.1682894229888916,
0.09142850339412689,
0.11526419222354889,
-0.10391492396593094,
-0.16962872445583344,
-0.22858038544654846,
-0.06513673812150955,
-0.1469428390264511,
-0.18812045454978943,
-0.3230235278606415,
0.02998736873269081,
-0.11075791716575623,
-0.05123124271631241,
-0.07592608034610748,
0.46679195761680603,
-0.08376175910234451,
-0.0623999647796154,
-0.09606405347585678,
0.2955297529697418,
-0.0001284318568650633,
-0.26771280169487,
0.37398579716682434,
0.2960720956325531,
0.03366652503609657,
0.03514605388045311,
0.09655198454856873,
0.03362180292606354,
-0.05559789389371872,
-0.0028625335544347763,
-0.3500954806804657,
0.3163101375102997,
-0.16839580237865448,
0.028979981318116188,
-0.18219539523124695,
-0.25976261496543884,
0.06748044490814209,
0.22245848178863525,
-0.33422860503196716,
0.16626094281673431,
0.2199171632528305,
0.21182896196842194,
0.281310498714447,
0.22115714848041534,
-0.4753613770008087,
0.06712479144334793,
0.4927184581756592,
-0.054044995456933975,
0.01846528984606266,
0.34422391653060913,
0.2549564838409424,
-0.3329373896121979,
0.12259705364704132,
0.12657085061073303,
0.2766241431236267,
0.4469538927078247,
0.0526612251996994,
0.14309236407279968,
0.09512909501791,
-0.16515378654003143,
-0.04433983936905861,
-0.06922058761119843,
-0.17121687531471252,
-0.028135454282164574,
0.23661468923091888,
0.14595475792884827,
-0.28768253326416016,
-0.32734742760658264,
-0.04693524166941643,
0.18919755518436432,
-0.11021775007247925,
-0.058832231909036636,
-0.13308188319206238,
-0.3062000572681427,
-0.3187926113605499,
-0.09166983515024185,
-0.339528352022171,
-0.3069959878921509,
0.3917933702468872,
0.010386759415268898,
-0.320739209651947,
0.40423503518104553,
0.1464310586452484,
0.5348385572433472,
-0.2747848629951477,
-0.011294062249362469,
-0.2897605895996094,
-0.4303379952907562,
-0.08097214251756668,
0.07382337749004364,
0.2886367440223694,
-0.04778332635760307,
0.7124965786933899,
0.07893449068069458,
-0.13275279104709625,
-0.3044416904449463,
-0.5318077206611633,
-0.14086131751537323,
0.03139031305909157,
-0.21374176442623138,
0.34212639927864075,
-0.39242348074913025,
0.09011007845401764,
-0.3882690370082855,
-0.18767446279525757,
-0.34289202094078064,
-0.08024153113365173,
0.12296098470687866,
0.0008936544763855636,
0.02240022085607052,
-0.29992949962615967,
-0.34487825632095337,
-0.07238531857728958,
-0.4497670531272888,
0.0770968422293663,
-0.6393796801567078,
0.07205867022275925,
0.05661339312791824,
-0.23646968603134155,
-0.16641613841056824,
-0.37278982996940613,
0.007764334790408611,
-0.127971351146698,
-0.5969660878181458,
0.16613715887069702,
-0.1103721633553505,
-0.06128214672207832,
-0.2556629478931427,
-0.05604007840156555,
0.01381267886608839,
0.6228569746017456,
0.19484549760818481,
-0.13971590995788574,
0.10687966644763947,
0.07648130506277084,
-0.0811649039387703,
0.1502828747034073,
0.4343815743923187,
0.16205017268657684,
-0.12345772236585617,
0.11876938492059708,
-0.1826428323984146,
0.042115386575460434,
-0.015398562885820866,
0.3286912143230438,
0.034825362265110016,
0.2597437798976898,
0.1325589418411255,
0.5310884118080139,
-0.5287258625030518,
-0.08033175766468048,
0.05685665085911751,
0.17602039873600006,
0.25830429792404175,
-0.09530063718557358,
0.0022561966907233,
0.5387940406799316,
0.2906547784805298,
-0.2538532018661499,
0.2548823058605194,
-0.026976650580763817,
-0.3092075288295746,
0.12093125283718109,
0.1135091632604599,
-0.09752099215984344,
-0.15819938480854034,
0.467640221118927,
-0.3359432518482208,
0.028550995513796806,
0.054026708006858826,
0.12251276522874832,
-0.26753970980644226,
-0.16778606176376343,
0.00724573852494359,
0.04410345107316971,
0.3468678891658783,
-0.1331421434879303,
-0.42491427063941956,
-0.045601196587085724,
-0.29521653056144714,
0.19519048929214478,
0.26279449462890625,
0.27446967363357544,
-0.015354511328041553,
-0.17939533293247223,
0.13794802129268646,
0.12701371312141418,
0.3991086184978485,
-0.18520726263523102,
-0.15685276687145233,
-0.08336551487445831,
0.12594930827617645,
-0.18887260556221008,
0.053663741797208786,
-0.11359232664108276,
0.10668975859880447,
0.16241750121116638,
0.05929332226514816,
-0.2636672854423523,
-0.1953766942024231,
0.137511745095253,
0.08628306537866592,
0.16331222653388977,
-0.3234395384788513,
-0.07841911911964417,
-0.19659315049648285,
-0.13586924970149994,
0.2577885687351227,
-0.006181434728205204,
-0.2898067831993103,
-0.03264253959059715,
0.08358705043792725,
-0.05086013302206993,
0.22913555800914764,
-0.008726988919079304,
0.17341488599777222,
0.0596778579056263,
0.21080242097377777,
-0.02444530464708805,
-0.008577482774853706,
0.3802027702331543,
0.2015167623758316,
-0.17109210789203644,
-0.35532519221305847,
0.0014371216529980302,
-0.08021998405456543,
-0.3615974187850952,
0.25072285532951355,
0.2108691930770874,
0.21007823944091797,
0.26145607233047485,
-0.14829246699810028,
0.15075673162937164,
-0.23374539613723755,
-0.030189139768481255,
-0.06791061162948608,
0.007533286232501268,
-0.5339677333831787,
-0.8507201075553894,
0.5450389385223389,
0.32437360286712646,
-0.3054795563220978,
0.44373372197151184,
-0.024500772356987,
-0.3562778830528259,
0.3782590329647064,
0.329973965883255,
1.0034146308898926,
-0.07321766763925552,
0.2827601432800293,
0.1653262972831726,
-0.3735775053501129,
0.42987215518951416,
-0.1853654980659485,
0.29490500688552856,
-0.19988380372524261,
-0.26987752318382263,
0.10410719364881516,
-0.0036484466399997473,
-0.02802206017076969,
0.28348803520202637,
-0.23576699197292328,
0.31240272521972656,
-0.16876879334449768,
0.029425228014588356,
0.12953586876392365,
0.21414139866828918,
-0.26988545060157776,
-0.227239727973938,
-0.24185191094875336,
0.13649655878543854,
-0.22734884917736053,
-0.21245190501213074,
0.021456871181726456,
-0.1538650095462799,
0.0076255276799201965,
0.06421853601932526,
-0.1773070991039276,
-0.11582379788160324,
0.11999876797199249,
-0.13377797603607178,
-0.19474442303180695,
-0.06841447204351425,
0.5051288604736328,
0.015424305573105812,
0.25004348158836365,
0.07930770516395569,
0.14134986698627472,
0.23059940338134766,
0.07139043509960175,
0.3418619930744171,
-0.046026069670915604,
-0.036250751465559006,
0.1730344146490097,
0.025741666555404663,
0.0010232338681817055,
-0.05954526737332344,
0.13033832609653473,
-0.6264166235923767,
-0.47416746616363525,
-0.008947601541876793,
0.320463091135025,
-0.025615176185965538,
0.13314706087112427,
0.23690831661224365,
-0.07707636058330536,
-0.08411937206983566,
0.15529386699199677,
0.23977650701999664,
-0.24776574969291687,
0.3586953580379486,
-0.11311710625886917,
-0.03689296543598175,
-0.07945580035448074,
0.15876717865467072,
-0.23023171722888947,
0.015225759707391262,
0.3005436360836029,
-0.23293372988700867,
-0.13038411736488342,
-0.2351306527853012,
-0.019168036058545113,
0.23810681700706482,
-0.06477142870426178,
0.15195606648921967,
-0.13655047118663788,
-0.22427047789096832,
-0.06621544808149338,
-0.1361084133386612,
0.05216231569647789,
0.28071829676628113,
-0.05464275926351547,
0.01373661495745182,
-0.39536479115486145,
0.02080049179494381,
0.0989731103181839,
0.3021582365036011,
-0.11496877670288086,
0.14674462378025055,
-0.1508699357509613,
0.005486074835062027,
-0.378298282623291,
-0.24021001160144806,
0.11466891318559647,
0.31972330808639526,
0.07316653430461884,
0.1575394868850708,
-0.2105623185634613,
-0.21844375133514404,
0.06116204708814621,
0.04334103688597679,
-0.04984719306230545,
-0.23751045763492584,
-0.1392945945262909,
0.06823787093162537,
-0.0031457513105124235,
0.20376434922218323,
0.15675513446331024,
-0.12760603427886963,
-0.03966999799013138,
-0.2093828022480011,
-0.11454752087593079,
0.176520437002182,
-0.01926150731742382,
0.5665611624717712,
0.5050375461578369,
0.10235331207513809,
0.009776938706636429,
0.1858241707086563,
-0.14052699506282806,
-0.11232603341341019,
0.019576726481318474,
0.2767688035964966,
-0.013695599511265755,
0.05107124522328377,
0.02432316727936268,
0.2786237895488739,
0.14185374975204468,
0.08936906605958939,
-0.0814656987786293,
0.19317273795604706,
0.10954701900482178,
0.4665202796459198,
0.061830274760723114,
0.3582407534122467,
0.08235417306423187,
-0.48556745052337646,
0.4337492287158966,
0.21816928684711456,
-0.1612999439239502,
-0.0022095455788075924,
-0.17344088852405548,
0.07349107414484024,
0.1654215306043625,
-0.003153015859425068,
-0.10503248870372772,
-0.06873256713151932,
-0.2876117527484894,
-0.07359498739242554,
0.14936858415603638,
-0.5486272573471069,
0.2823893129825592,
0.2594435214996338,
-0.12507177889347076,
-0.16082508862018585,
0.21707968413829803,
-0.09828022867441177,
-0.16002945601940155,
0.1616702526807785,
0.36011210083961487,
1.0041593313217163,
0.3350100815296173,
0.2119104564189911,
0.024365492165088654,
0.14911016821861267,
0.09338070452213287,
0.6433224678039551,
0.3787454068660736,
0.14951598644256592,
0.4294312596321106,
0.23128452897071838,
0.1897774040699005,
-0.3021346628665924,
0.26007208228111267,
0.166106179356575,
0.1658439338207245,
0.06580915302038193,
-0.11546698957681656,
-0.1193489357829094,
-0.26598110795021057,
-0.0077394456602633,
-0.0538184680044651,
0.10528252273797989,
0.5309209823608398,
0.1861804723739624,
0.1603645235300064,
-0.41128915548324585,
0.20345577597618103,
0.2584473192691803,
0.4700572192668915,
-0.18684883415699005,
-0.2418614625930786,
0.025069210678339005,
-0.2161089926958084,
0.7542921900749207,
0.041959524154663086,
0.024506790563464165,
0.28092649579048157,
0.04929599165916443,
0.032787661999464035,
-0.41480621695518494,
0.009417344816029072,
-0.15027864277362823,
0.1793755739927292,
0.2596071660518646,
-0.12145692110061646,
0.0218115895986557,
0.13871453702449799,
-0.11151232570409775,
0.20139579474925995,
-0.046703189611434937,
-0.07099413126707077,
-0.08586221188306808,
0.3180973529815674,
0.5659241676330566,
-0.2598888874053955,
0.04079611226916313,
0.029230797663331032,
-0.1360316425561905,
-0.06514092534780502,
0.006684079300612211,
0.14587543904781342,
-0.17006884515285492,
-0.05686282739043236,
0.0926966741681099,
0.3524608314037323,
0.403199166059494,
0.26844581961631775,
-0.10742642730474472,
-0.11384610086679459,
-0.36881527304649353,
-0.5009532570838928,
-0.1890980750322342,
0.3571245074272156,
-0.05158931016921997,
-0.028194965794682503,
-0.02227247692644596,
-0.018850645050406456,
-0.018899673596024513,
-0.044772565364837646,
0.03546401485800743,
0.013845539651811123,
0.07077297568321228,
-0.3659392297267914,
-0.013891463167965412,
-0.20218093693256378,
-0.07325293868780136,
0.14310510456562042,
-0.1260942965745926,
-0.27879366278648376,
0.314703106880188,
0.044638242572546005,
-0.22550247609615326,
0.2509477436542511,
-0.08069916069507599,
0.14602090418338776,
0.033939238637685776,
0.1352875828742981,
0.1892540007829666,
0.04944802448153496,
-0.11370181292295456,
-0.1537809818983078,
-0.10955619812011719,
-0.6963853240013123,
0.005131698679178953,
0.058589234948158264,
0.054866813123226166,
-0.06912785023450851,
-0.10537717491388321,
-0.41169610619544983,
0.5068255066871643,
-0.2618783414363861,
0.08110793679952621,
-0.5822643637657166,
0.17405766248703003,
0.19211320579051971,
0.19045811891555786,
-0.14750568568706512,
0.2194092571735382,
0.09773163497447968,
0.18745550513267517,
-0.23057420551776886,
0.10078958421945572,
0.4633548855781555,
0.021655425429344177,
-0.17914241552352905,
-0.216499462723732,
0.24227537214756012,
0.01254197396337986,
-0.14014942944049835,
-0.3644137680530548,
-0.17112572491168976,
0.17598293721675873,
-0.041666626930236816,
0.2560969889163971,
0.4652126133441925,
0.046045467257499695,
-0.04631755128502846,
-0.18348334729671478,
0.0035771045368164778,
-0.06137636676430702,
-0.045356303453445435,
0.00507642887532711,
-0.4476947486400604
] |
https://github.com/huggingface/datasets/issues/163 | [Feature request] Add cos-e v1.0 | Sounds good, @mariamabarham do you want to give a look?
I think we should have two configurations so we can allow either version of the dataset to be loaded with the `1.0` version being the default maybe.
Cc some authors of the great cos-e: @nazneenrajani @bmccann | I noticed the second release of cos-e (v1.11) is included in this repo. I wanted to request inclusion of v1.0, since this is the version on which results are reported on in [the paper](https://www.aclweb.org/anthology/P19-1487/), and v1.11 has noted [annotation](https://github.com/salesforce/cos-e/issues/2) [issues](https://arxiv.org/pdf/2004.14546.pdf). | 46 | [Feature request] Add cos-e v1.0
I noticed the second release of cos-e (v1.11) is included in this repo. I wanted to request inclusion of v1.0, since this is the version on which results are reported on in [the paper](https://www.aclweb.org/anthology/P19-1487/), and v1.11 has noted [annotation](https://github.com/salesforce/cos-e/issues/2) [issues](https://arxiv.org/pdf/2004.14546.pdf).
Sounds good, @mariamabarham do you want to give a look?
I think we should have two configurations so we can allow either version of the dataset to be loaded with the `1.0` version being the default maybe.
Cc some authors of the great cos-e: @nazneenrajani @bmccann | [
-0.25224724411964417,
-0.2662770450115204,
-0.12816211581230164,
-0.3826158940792084,
-0.41568827629089355,
-0.10087808221578598,
0.019268780946731567,
0.2192731350660324,
-0.08714974671602249,
0.3809593915939331,
0.05702600255608559,
0.3763355314731598,
-0.015546808950603008,
0.3852824866771698,
-0.0764765664935112,
0.14052660763263702,
0.08472937345504761,
0.3658883571624756,
-0.08661047369241714,
-0.13832923769950867,
-0.2019471526145935,
0.11041351407766342,
-0.06942540407180786,
-0.05444715544581413,
0.14053836464881897,
0.17084471881389618,
-0.19724233448505402,
-0.07244247943162918,
-0.22426988184452057,
-0.20771391689777374,
0.35505375266075134,
0.45551031827926636,
0.22513900697231293,
0.06983251124620438,
-0.00010584220581222326,
-0.23818445205688477,
0.4025997817516327,
-0.07296527922153473,
-0.3339165151119232,
-0.2384468913078308,
-0.41790133714675903,
-0.3771292567253113,
0.06569387018680573,
-0.09597756713628769,
0.06359320133924484,
0.09290825575590134,
0.16502238810062408,
-0.19661813974380493,
0.06413621455430984,
0.011999391950666904,
0.30262696743011475,
0.17412418127059937,
-0.08758492767810822,
-0.34514889121055603,
0.3349485397338867,
0.449106901884079,
-0.35373684763908386,
-0.17945313453674316,
0.31677186489105225,
0.013062856160104275,
-0.06734270602464676,
0.41108182072639465,
0.2277282476425171,
-0.1817954033613205,
-0.025220628827810287,
-0.06428226083517075,
0.1812652349472046,
0.007419890724122524,
0.14173486828804016,
0.1168774664402008,
0.5061965584754944,
0.12980081140995026,
-0.41553935408592224,
0.28998300433158875,
0.004278996028006077,
-0.49353086948394775,
0.26659244298934937,
-0.1062392145395279,
-0.029614154249429703,
0.06423833221197128,
0.18722118437290192,
-0.3388349413871765,
-0.4957718551158905,
0.20651458203792572,
-0.07795700430870056,
0.0905710831284523,
-0.15790334343910217,
-0.1536710560321808,
0.12449917197227478,
0.10767868906259537,
-0.043482277542352676,
0.04136797413229942,
-0.17636604607105255,
0.20438635349273682,
-0.24313992261886597,
-0.25906258821487427,
0.2833954393863678,
0.001078931731171906,
0.45887547731399536,
0.08281146734952927,
0.154005229473114,
0.04369635134935379,
-0.0718052089214325,
0.10415893793106079,
0.1537679135799408,
0.20156952738761902,
0.46074262261390686,
-0.05985747650265694,
0.39925891160964966,
0.2871788740158081,
0.476828008890152,
0.0420064814388752,
0.1551857441663742,
0.03422985225915909,
-0.06027299165725708,
-0.0319339893758297,
0.07255350798368454,
-0.5815814733505249,
-0.09604071825742722,
0.05002417787909508,
-0.016389036551117897,
0.0166013166308403,
-0.03814131021499634,
0.09351347386837006,
0.2691534459590912,
0.22098198533058167,
0.2916280925273895,
-0.0643903836607933,
-0.03568077087402344,
-0.4872020184993744,
-0.29533958435058594,
-0.07494291663169861,
-0.2445651739835739,
0.2993689775466919,
0.327759325504303,
-0.4222894310951233,
0.13820572197437286,
-0.3130995035171509,
0.2833765149116516,
0.04933526739478111,
-0.18007919192314148,
0.3390869200229645,
-0.22517696022987366,
0.12475133687257767,
0.057131633162498474,
0.08530967682600021,
-0.2785825729370117,
0.5125001072883606,
-0.1971520334482193,
0.12465782463550568,
-0.3382830023765564,
-0.44855234026908875,
-0.3868960738182068,
0.28708532452583313,
-0.0740516185760498,
-0.15551422536373138,
-0.1518208384513855,
0.36664536595344543,
-0.2398143708705902,
-0.1644044816493988,
-0.0805048793554306,
0.3010803163051605,
-0.27182281017303467,
-0.12088683247566223,
0.02714027464389801,
0.14325301349163055,
-0.1281464695930481,
-0.04009632393717766,
-0.5082139372825623,
-0.09364712238311768,
-0.1425672322511673,
-0.029935738071799278,
-0.12085220962762833,
-0.2735488712787628,
-0.1699308156967163,
-0.17351989448070526,
0.3994155526161194,
-0.33321884274482727,
-0.14639067649841309,
0.23286594450473785,
-0.028698723763227463,
-0.24974243342876434,
0.14834187924861908,
-0.1565067172050476,
0.0467190146446228,
-0.27039507031440735,
-0.228197380900383,
0.04900587350130081,
-0.14814819395542145,
-0.1040414348244667,
-0.14730118215084076,
-0.4412725567817688,
-0.18274036049842834,
0.2603660225868225,
0.24740350246429443,
0.03346296772360802,
0.22792431712150574,
-0.39961373805999756,
0.09001251310110092,
-0.16994144022464752,
0.17561861872673035,
-0.019764386117458344,
0.7601085901260376,
0.032792869955301285,
0.15846048295497894,
0.06392256915569305,
-0.3966706097126007,
0.07201731950044632,
0.090555340051651,
0.1692187637090683,
0.22833293676376343,
-0.3766869008541107,
-0.03511645644903183,
-0.04920860752463341,
0.0924888476729393,
-0.09495951235294342,
0.2041812539100647,
0.1204761490225792,
-0.13210278749465942,
-0.015266706235706806,
-0.028222637251019478,
0.25926652550697327,
-0.24022382497787476,
-0.15056875348091125,
-0.07579410076141357,
0.16699030995368958,
-0.18648074567317963,
0.03914570435881615,
-0.18251173198223114,
0.12863817811012268,
-0.07770595699548721,
-0.0659889280796051,
-0.12712711095809937,
0.3903431296348572,
-0.09755901992321014,
0.23098590970039368,
0.055191799998283386,
0.3234146535396576,
0.14523349702358246,
-0.17544732987880707,
0.07596839964389801,
-0.1623835563659668,
-0.10134494304656982,
0.18791493773460388,
-0.22592833638191223,
0.38410717248916626,
0.06922294199466705,
-0.15123452246189117,
0.009792857803404331,
-0.008774581365287304,
0.062455467879772186,
-0.09672992676496506,
-0.36420097947120667,
-0.11718843877315521,
0.18756090104579926,
0.11140123009681702,
-0.44378700852394104,
-0.28570112586021423,
-0.30886122584342957,
-0.08802053332328796,
0.03273776173591614,
-0.06471413373947144,
0.11028403788805008,
0.20297089219093323,
-0.0012313614133745432,
-0.23741556704044342,
0.30815067887306213,
-0.10598635673522949,
0.2734644114971161,
0.3854377269744873,
-0.16695116460323334,
-0.021352330222725868,
-0.20481480658054352,
0.11400572210550308,
0.1383959800004959,
0.2815913259983063,
0.04978850111365318,
0.10224246978759766,
0.3348846733570099,
0.09427259117364883,
-0.3502333462238312,
-0.308944970369339,
-0.045419320464134216,
0.057697687298059464,
-0.15502671897411346,
-0.19572260975837708,
-0.03369687497615814,
0.0711766853928566,
0.0014666501665487885,
0.1478462517261505,
0.16372084617614746,
-0.19144974648952484,
0.4073890745639801,
0.26924824714660645,
-0.22280806303024292,
0.32431355118751526,
0.036760956048965454,
0.8047566413879395,
-0.12738488614559174,
0.18538615107536316,
-0.2448902279138565,
0.05357374623417854,
-0.31329861283302307,
0.2546367049217224,
-0.22676561772823334,
-0.22785437107086182,
0.46085333824157715,
-0.10080960392951965,
0.24583852291107178,
-0.11814724653959274,
-0.7101550102233887,
0.09934397041797638,
-0.10333838313817978,
-0.0934278815984726,
0.030384935438632965,
-0.21468698978424072,
-0.0738753005862236,
0.019448844715952873,
0.05901803448796272,
-0.44859644770622253,
-0.4825385510921478,
-0.10999597609043121,
-0.24806146323680878,
0.13051088154315948,
-0.3649931848049164,
-0.48683127760887146,
0.1457367092370987,
-0.2606458067893982,
-0.2076708972454071,
-0.052967369556427,
0.16154085099697113,
0.26981109380722046,
0.12356352806091309,
-0.0581195168197155,
0.06886522471904755,
0.05131303891539574,
-0.38603153824806213,
0.04582156240940094,
0.34243741631507874,
-0.3188912868499756,
-0.4158433973789215,
0.1217731386423111,
0.011760883033275604,
0.15939804911613464,
0.1757790446281433,
-0.3779384195804596,
-0.3949556350708008,
0.275278240442276,
0.12953287363052368,
-0.14654043316841125,
0.06901132315397263,
0.5344857573509216,
0.06983834505081177,
-0.21253998577594757,
-0.07770739495754242,
-0.4181550145149231,
0.18073123693466187,
0.4679787755012512,
0.143210768699646,
-0.29487988352775574,
0.2655486762523651,
0.19312961399555206,
0.32020488381385803,
0.16470728814601898,
-0.07552259415388107,
0.12141604721546173,
0.13372135162353516,
0.21813784539699554,
-0.20591577887535095,
0.01071433536708355,
0.01658337004482746,
0.05266035348176956,
0.17323482036590576,
0.5349008440971375,
0.19639094173908234,
-0.40721455216407776,
-0.37295639514923096,
-0.22823022305965424,
0.09779666364192963,
0.0007366268546320498,
-0.1938166469335556,
0.16490212082862854,
0.4404818117618561,
-0.06908103823661804,
-0.15247684717178345,
-0.32904037833213806,
-0.10789810866117477,
0.09796715527772903,
0.34180477261543274,
0.15771318972110748,
-0.08698428422212601,
0.09859805554151535,
0.1773262470960617,
-0.28397229313850403,
0.35610535740852356,
0.14722830057144165,
-0.004486479330807924,
0.005454095546156168,
-0.10187996178865433,
0.15186353027820587,
0.019838888198137283,
0.1859121173620224,
-0.2136530727148056,
-0.16913346946239471,
-0.1400272250175476,
-0.08662836253643036,
0.08970759809017181,
-0.06182192638516426,
-0.111711286008358,
-0.2805306017398834,
-0.0905054435133934,
0.05194638669490814,
0.027261465787887573,
-0.14532747864723206,
0.6831695437431335,
-0.17081350088119507,
0.010884147137403488,
-0.2852765917778015,
0.050516121089458466,
-0.23356208205223083,
-0.0009023428428918123,
-0.017939191311597824,
-0.1901806890964508,
0.0005647466750815511,
-0.10173072665929794,
-0.15057475864887238,
0.23931929469108582,
0.013858205638825893,
-0.006709089037030935,
0.14193889498710632,
-0.14012408256530762,
0.011414074338972569,
0.11479271203279495,
0.08129554986953735,
0.047842640429735184,
0.37294796109199524,
0.12629081308841705,
0.22759829461574554,
-0.2665453255176544,
0.17605388164520264,
-0.1937774419784546,
0.06537343561649323,
0.2491942197084427,
0.030140884220600128,
-0.06442731618881226,
-0.29717180132865906,
-0.22939139604568481,
-0.12345936894416809,
-0.20089145004749298,
0.2619432806968689,
0.041544556617736816,
-0.37265822291374207,
0.028384987264871597,
0.32451045513153076,
0.021752752363681793,
-0.27290016412734985,
0.2598053216934204,
0.21533307433128357,
-0.24798963963985443,
0.33155807852745056,
0.0006588782998733222,
0.7347700595855713,
0.24774301052093506,
-0.06344792246818542,
0.2377440184354782,
-0.04784703254699707,
0.4994877874851227,
-0.15337014198303223,
0.013707942329347134,
0.07889310270547867,
-0.13275177776813507,
-0.09385058283805847,
0.2984381914138794,
0.37705013155937195,
-0.09206005930900574,
-0.3057999908924103,
0.1782730519771576,
0.36761510372161865,
0.2488742470741272,
0.08150095492601395,
0.18558430671691895,
0.33593547344207764,
-0.3099149465560913,
0.1831713318824768,
0.18838095664978027,
0.00758065702393651,
0.16981589794158936,
0.0008189335349015892,
-0.036344531923532486,
0.01405798178166151,
-0.3261224329471588,
-0.22565610706806183,
-0.14075037837028503,
0.344286173582077,
-0.00929958838969469,
-0.035762373358011246,
-0.07223028689622879,
0.43538060784339905,
-0.3726445138454437,
0.207982137799263,
0.19100742042064667,
-0.28965577483177185,
0.1257748156785965,
0.16576583683490753,
0.053725019097328186,
-0.06958981603384018,
-0.09448564797639847,
0.077021025121212,
-0.16798190772533417,
-0.09140422195196152,
0.18939553201198578,
0.21163731813430786,
-0.1577853560447693,
-0.0802488699555397,
-0.14002549648284912,
-0.032127443701028824,
0.04893331229686737,
0.3648076057434082,
0.5734385848045349,
0.19827178120613098,
-0.28032052516937256,
0.24688148498535156,
0.22918599843978882,
-0.1116868108510971,
-0.07789948582649231,
0.15205664932727814,
-0.10007655620574951,
-0.20936448872089386,
0.4151041507720947,
0.41105833649635315,
-0.40592581033706665,
-0.04722759127616882,
-0.08289723843336105,
-0.08956631273031235,
-0.2743074297904968,
-0.04644768312573433,
0.12019768357276917,
-0.5605069994926453,
-0.19973421096801758,
0.06941709667444229,
-0.20039421319961548,
0.18112961947917938,
0.7872421741485596,
0.14098186790943146,
0.17524492740631104,
-0.05200910568237305,
-0.018956856802105904,
-0.18221916258335114,
0.06492505222558975,
-0.4313204884529114,
0.3021855652332306,
-0.026818621903657913,
-0.15485018491744995,
-0.11379797011613846,
0.03980981558561325,
-0.4568732976913452,
-0.192204087972641,
0.26230764389038086,
-0.13239455223083496,
0.372192919254303,
0.31053921580314636,
0.26454269886016846,
0.0035349037498235703,
0.21191680431365967,
-0.14141185581684113,
-0.33388087153434753,
-0.2028176188468933,
0.06465192139148712,
0.09212338924407959,
0.06677127629518509,
0.17337298393249512,
-0.03824377804994583,
-0.11493047326803207,
-0.2642992436885834,
0.032551076263189316,
0.26225918531417847,
-0.029773715883493423,
-0.1581730991601944,
0.18510586023330688,
-0.24483998119831085,
-0.07198487967252731,
0.15404702723026276,
0.38236004114151,
0.18938863277435303,
0.08267606794834137,
-0.06526104360818863,
0.42594343423843384,
-0.007294509559869766,
-0.1126653328537941,
0.04660404101014137,
0.378113329410553,
-0.27740931510925293,
0.30024346709251404,
0.018675293773412704,
-0.02458520047366619,
-0.08572182059288025,
-0.03785381838679314,
0.13398224115371704,
-0.41137969493865967,
-0.07079403102397919,
0.028907058760523796,
0.03366865590214729,
0.3719577193260193,
-0.2801135778427124,
0.05250128358602524,
-0.0581754669547081,
-0.05517246946692467,
0.21768657863140106,
0.19678077101707458,
0.3475117087364197,
0.015416697598993778,
0.7643713355064392,
0.03258528560400009,
0.012449795380234718,
-0.053610850125551224,
0.45254966616630554,
0.10950743407011032,
0.045196544378995895,
0.09279991686344147,
0.08463882654905319,
0.06753072142601013,
0.17613504827022552,
-0.0687374398112297,
0.11972717195749283,
-0.08243265002965927,
0.4220128059387207,
0.5082917213439941,
0.009178321808576584,
-0.33825480937957764,
0.07828831672668457,
0.2829192578792572,
0.0896713137626648,
0.03318409249186516,
0.30095821619033813,
-0.1659034639596939,
0.011287045665085316,
0.07916238158941269,
-0.7445870041847229,
-0.15216273069381714,
0.020008113235235214,
-0.1553734391927719,
-0.15849334001541138,
-0.13477909564971924,
-0.406162828207016,
-0.06609311699867249,
0.16439181566238403,
0.007545987609773874,
0.15479020774364471,
-0.19950591027736664,
0.015690436586737633,
-0.10653693228960037,
-0.00798280443996191,
0.11110534518957138,
0.22404608130455017,
0.026627108454704285,
0.3685714900493622,
-0.49482378363609314,
-0.2772008776664734,
0.3008657395839691,
0.3290163576602936,
-0.01646159216761589,
-0.07080629467964172,
0.3832436203956604,
0.1276649832725525,
0.08333251625299454,
-0.1014527902007103,
0.04092063382267952,
0.08495252579450607,
0.09764701873064041,
0.146663635969162,
0.2090858668088913,
0.2040061205625534,
-0.13698969781398773,
0.24193686246871948,
-0.07487759739160538,
-0.13943202793598175,
-0.2820708751678467,
0.11750295758247375,
0.16903412342071533,
0.0901317447423935,
0.03028159774839878,
0.16643081605434418,
0.041157204657793045,
-0.37090566754341125,
-0.07294442504644394,
-0.05760603025555611,
-0.12956935167312622,
-0.1690276712179184,
0.1355428695678711,
-0.1693425327539444,
-0.04852965474128723,
0.22995752096176147,
0.007202232722193003,
-0.013600819744169712,
-0.4024968147277832,
0.05314406380057335,
0.35809582471847534,
0.1434372067451477,
-0.0768827497959137,
0.0670180469751358,
0.22650213539600372,
0.259703665971756,
-0.12988053262233734,
0.1573919951915741,
-0.25790947675704956,
0.36999547481536865,
0.09451108425855637,
-0.30971941351890564,
0.1618374139070511,
0.45948630571365356,
-0.028369272127747536,
-0.11244360357522964,
-0.15681952238082886,
-0.10699551552534103,
0.047833651304244995,
0.0735950767993927,
-0.24181421101093292,
0.07018902897834778,
0.13543926179409027,
-0.0018166357185691595,
0.535402238368988,
0.025703078135848045,
0.17436566948890686,
-0.21326428651809692,
-0.04778820276260376,
-0.4498699903488159,
-0.20575033128261566,
-0.08338765054941177,
0.028017450124025345,
0.08583541214466095,
0.08767566084861755,
-0.0047048283740878105,
0.05368756502866745,
-0.03177979588508606,
0.27985140681266785,
-0.014120352454483509,
0.00022554157476406544,
-0.24943330883979797,
0.47038963437080383,
-0.37131333351135254,
-0.2708432972431183,
-0.04918542504310608,
-0.15531067550182343,
0.11307983845472336,
-0.17197906970977783,
-0.10465744882822037,
-0.17666929960250854,
0.2870737612247467,
-0.07113718241453171,
0.051782917231321335,
-0.18545478582382202,
0.3238445222377777,
0.3122849464416504,
-0.00006310753815341741,
-0.33270421624183655,
0.06873585283756256,
0.19568853080272675,
0.17945131659507751,
-0.13641560077667236,
0.2679246664047241,
-0.07479602843523026,
0.023499902337789536,
-0.1861780732870102,
-0.011183187365531921,
-0.19011494517326355,
-0.06747494637966156,
0.032859884202480316,
-0.3748263716697693
] |
https://github.com/huggingface/datasets/issues/163 | [Feature request] Add cos-e v1.0 | cos_e v1.0 is related to CQA v1.0 but only CQA v1.11 dataset is available on their website. Indeed their is lots of ids in cos_e v1, which are not in CQA v1.11 or the other way around.
@sarahwie, @thomwolf, @nazneenrajani, @bmccann do you know where I can find CQA v1.0
| I noticed the second release of cos-e (v1.11) is included in this repo. I wanted to request inclusion of v1.0, since this is the version on which results are reported on in [the paper](https://www.aclweb.org/anthology/P19-1487/), and v1.11 has noted [annotation](https://github.com/salesforce/cos-e/issues/2) [issues](https://arxiv.org/pdf/2004.14546.pdf). | 50 | [Feature request] Add cos-e v1.0
I noticed the second release of cos-e (v1.11) is included in this repo. I wanted to request inclusion of v1.0, since this is the version on which results are reported on in [the paper](https://www.aclweb.org/anthology/P19-1487/), and v1.11 has noted [annotation](https://github.com/salesforce/cos-e/issues/2) [issues](https://arxiv.org/pdf/2004.14546.pdf).
cos_e v1.0 is related to CQA v1.0 but only CQA v1.11 dataset is available on their website. Indeed their is lots of ids in cos_e v1, which are not in CQA v1.11 or the other way around.
@sarahwie, @thomwolf, @nazneenrajani, @bmccann do you know where I can find CQA v1.0
| [
-0.02323293499648571,
-0.18676243722438812,
-0.17846323549747467,
-0.3313111364841461,
-0.5435763001441956,
0.06571663916110992,
-0.17831730842590332,
0.12594039738178253,
-0.3440611958503723,
0.46897250413894653,
0.23541802167892456,
0.12405304610729218,
0.07490003108978271,
0.42129889130592346,
0.01564243622124195,
0.08941134065389633,
0.1170303225517273,
0.40649187564849854,
0.156411811709404,
-0.07623076438903809,
-0.046966202557086945,
0.3286639451980591,
-0.268859326839447,
-0.012009824626147747,
0.16894973814487457,
0.11247790604829788,
-0.32557418942451477,
-0.26800331473350525,
-0.14709492027759552,
-0.16988083720207214,
0.4301478862762451,
0.2873972952365875,
0.3542037308216095,
-0.00829679612070322,
-0.0001180448816739954,
-0.24944999814033508,
0.2678096890449524,
-0.06388585269451141,
-0.2248019427061081,
-0.28847646713256836,
-0.39872676134109497,
-0.37567535042762756,
-0.12163138389587402,
-0.01597958616912365,
0.13137966394424438,
0.0580621175467968,
0.20080436766147614,
0.015675347298383713,
-0.1259213536977768,
0.1071854829788208,
0.18949463963508606,
0.18075960874557495,
0.1411362886428833,
-0.37958770990371704,
0.17057491838932037,
0.3191809058189392,
-0.27347421646118164,
-0.2285313755273819,
0.2699383497238159,
0.025855710729956627,
0.30776649713516235,
0.48162439465522766,
0.2874336540699005,
-0.3409464955329895,
-0.17208893597126007,
-0.013270877301692963,
0.11673440784215927,
-0.12508030235767365,
0.2783507704734802,
-0.045265987515449524,
0.5306006073951721,
0.17983447015285492,
-0.3857193887233734,
0.4131040573120117,
0.04533262923359871,
-0.47312355041503906,
0.2673744559288025,
-0.013816768303513527,
0.06820397078990936,
0.11895697563886642,
0.2374476045370102,
-0.3053060472011566,
-0.43842682242393494,
0.16605913639068604,
-0.16326332092285156,
0.0052228220738470554,
-0.11229739338159561,
-0.18681909143924713,
0.06563159078359604,
0.045105595141649246,
-0.048754893243312836,
0.18406380712985992,
-0.25097814202308655,
0.26039373874664307,
-0.22966554760932922,
-0.3830535113811493,
0.2817988395690918,
0.021808341145515442,
0.3297160565853119,
-0.034621741622686386,
0.15862123668193817,
-0.21944288909435272,
-0.24751417338848114,
0.0007928924169391394,
0.12062620371580124,
0.3228638768196106,
0.3589962124824524,
0.052947454154491425,
0.14591944217681885,
0.23537777364253998,
0.44060102105140686,
-0.040402285754680634,
0.0712786540389061,
0.01292085275053978,
-0.16717663407325745,
0.05689515545964241,
0.06021237000823021,
-0.6049149036407471,
-0.1965155303478241,
-0.004578236490488052,
-0.23373329639434814,
0.06281226128339767,
-0.14380186796188354,
0.03192555904388428,
0.4180451035499573,
0.21806325018405914,
0.22002330422401428,
-0.19355079531669617,
-0.009807290509343147,
-0.6159117817878723,
-0.27655524015426636,
-0.014677955769002438,
-0.0672636404633522,
0.3063664734363556,
0.21016515791416168,
-0.361815482378006,
0.22055011987686157,
-0.3328658640384674,
0.22424130141735077,
0.05530916154384613,
-0.15858890116214752,
0.436467707157135,
-0.22660820186138153,
0.18580681085586548,
-0.022986527532339096,
0.06077193468809128,
-0.2817750573158264,
0.49024346470832825,
-0.21706923842430115,
0.1842230260372162,
-0.3824465274810791,
-0.43082091212272644,
-0.5014216899871826,
0.14038513600826263,
0.050710294395685196,
-0.19810707867145538,
0.03673640638589859,
0.24654188752174377,
-0.2765118479728699,
-0.17123249173164368,
0.02272367663681507,
0.29645469784736633,
-0.17472507059574127,
-0.13263075053691864,
-0.005532918497920036,
0.1790468841791153,
-0.26312336325645447,
-0.06219679117202759,
-0.3929760754108429,
0.0770600438117981,
-0.1144099086523056,
0.05869674310088158,
-0.06112257391214371,
-0.31643980741500854,
-0.1432291716337204,
-0.2597504258155823,
0.33863118290901184,
-0.6128677129745483,
-0.5238029360771179,
0.14918266236782074,
-0.03131825104355812,
-0.2901611030101776,
0.21898722648620605,
0.005280482582747936,
0.007204203866422176,
-0.16219724714756012,
-0.20951691269874573,
-0.03626927360892296,
-0.2873411774635315,
-0.333136647939682,
0.021973755210638046,
-0.4311452805995941,
-0.07969656586647034,
0.10743052512407303,
0.09247304499149323,
0.09353815019130707,
0.23239195346832275,
-0.6215126514434814,
0.14444561302661896,
-0.01956114172935486,
0.010354569181799889,
0.06936360150575638,
0.6898933053016663,
0.07786308974027634,
0.26113927364349365,
0.05161323398351669,
-0.3183966279029846,
0.05620035156607628,
-0.21524697542190552,
0.06954575330018997,
0.2679485082626343,
-0.3772903382778168,
-0.1154729425907135,
0.0034698948729783297,
0.16920095682144165,
-0.28243616223335266,
0.04788865149021149,
0.04885225370526314,
0.10802208632230759,
0.0012773934286087751,
0.013500618748366833,
0.33671069145202637,
-0.15173602104187012,
-0.17996639013290405,
-0.10303966701030731,
0.17719748616218567,
-0.195079505443573,
0.008516152389347553,
0.016285602003335953,
0.2220599204301834,
0.10666114091873169,
0.019013283774256706,
-0.08943834900856018,
0.19991281628608704,
-0.16442212462425232,
0.25171536207199097,
0.2599520981311798,
0.4301054775714874,
0.22773417830467224,
-0.22602073848247528,
0.06586575508117676,
-0.09690889716148376,
-0.1978672444820404,
0.35074302554130554,
-0.010788246057927608,
0.25207433104515076,
0.1498488485813141,
-0.07520967721939087,
-0.007432149723172188,
0.2028426229953766,
0.031593792140483856,
0.04165678098797798,
-0.20685191452503204,
-0.1189875453710556,
0.21474160254001617,
0.10000555217266083,
-0.34825125336647034,
-0.3811200261116028,
-0.20631039142608643,
0.16081732511520386,
0.1386513113975525,
-0.11609704047441483,
-0.0007918394985608757,
0.11394800990819931,
-0.02068331278860569,
-0.08092055469751358,
0.346027135848999,
-0.10363273322582245,
0.09568565338850021,
0.2869536280632019,
-0.2408585101366043,
-0.1860809177160263,
-0.00962152797728777,
0.1602334976196289,
0.15206782519817352,
0.2799004316329956,
-0.2412099689245224,
-0.1741049885749817,
0.3792100250720978,
0.1788063943386078,
-0.12696224451065063,
-0.23240984976291656,
-0.014872080646455288,
0.05603449046611786,
0.028574971482157707,
-0.09625102579593658,
-0.13883927464485168,
0.005258068908005953,
-0.06992211937904358,
-0.0594109445810318,
0.18317686021327972,
-0.19776979088783264,
0.27721282839775085,
0.17876549065113068,
0.07255703210830688,
0.27476873993873596,
-0.00020035906345583498,
0.776387095451355,
-0.22260735929012299,
0.30331772565841675,
-0.07585015147924423,
0.13949935138225555,
-0.42412352561950684,
0.13569289445877075,
-0.2917245328426361,
-0.17309953272342682,
0.4106995165348053,
-0.09878092259168625,
0.333431214094162,
-0.08852579444646835,
-0.8045451045036316,
-0.0008278439636342227,
-0.10774533450603485,
-0.10973905026912689,
0.11922898143529892,
-0.313337504863739,
-0.09177692979574203,
0.024535540491342545,
-0.025782927870750427,
-0.2734341323375702,
-0.48534730076789856,
-0.164653480052948,
-0.3983460068702698,
0.0878530964255333,
-0.17175938189029694,
-0.38223880529403687,
-0.04387272521853447,
-0.07672493904829025,
-0.12428012490272522,
-0.12437772005796432,
0.26520416140556335,
0.12538957595825195,
-0.00853987317532301,
-0.07314718514680862,
0.17700503766536713,
-0.04666570574045181,
-0.19722265005111694,
0.20906880497932434,
0.33739587664604187,
-0.3322138786315918,
-0.32960522174835205,
0.3415122628211975,
-0.021702595055103302,
0.2813383936882019,
0.011478787288069725,
-0.42799150943756104,
-0.1520685851573944,
0.06688933819532394,
0.13095764815807343,
0.051632028073072433,
-0.036550503224134445,
0.7915481328964233,
-0.11600464582443237,
-0.07611801475286484,
-0.027554836124181747,
-0.5734850168228149,
0.1022515594959259,
0.5704919099807739,
0.24227374792099,
-0.11164876818656921,
0.3174266517162323,
0.1585416942834854,
0.5127479434013367,
0.3592984974384308,
0.010425216518342495,
0.022733936086297035,
0.1787562519311905,
0.04132813587784767,
-0.12431827187538147,
-0.23321403563022614,
0.030882395803928375,
0.08355014771223068,
0.08108741044998169,
0.35798510909080505,
0.17127497494220734,
-0.25755178928375244,
-0.23424024879932404,
-0.43134576082229614,
-0.04863084480166435,
0.13530905544757843,
-0.34676018357276917,
0.08997038751840591,
0.6666926741600037,
-0.05727138742804527,
-0.1794421672821045,
-0.48417335748672485,
-0.05204249173402786,
0.1998935043811798,
0.4482497274875641,
0.3122659921646118,
-0.002332007046788931,
0.1590178906917572,
-0.0632472038269043,
-0.29903727769851685,
0.38223668932914734,
0.09644635021686554,
0.07628419250249863,
-0.023621540516614914,
0.057052452117204666,
0.16065460443496704,
0.003988228738307953,
0.20746296644210815,
-0.11883389204740524,
-0.20663711428642273,
-0.08955521881580353,
-0.04198891296982765,
0.32143884897232056,
-0.03235861659049988,
0.03982214629650116,
-0.24847358465194702,
-0.10593654215335846,
-0.1875954270362854,
0.19501066207885742,
-0.0317000150680542,
0.661746621131897,
-0.2799369990825653,
-0.17864874005317688,
-0.11406060308218002,
-0.056554052978754044,
-0.07454974204301834,
0.04568130150437355,
-0.058856017887592316,
-0.26100653409957886,
-0.01762564294040203,
-0.03928040713071823,
-0.17231251299381256,
0.2192324697971344,
-0.2052268534898758,
0.0071362778544425964,
0.04859590157866478,
-0.06891928613185883,
-0.018689116463065147,
0.08036047220230103,
0.10861840099096298,
-0.028514139354228973,
0.23418088257312775,
0.0030013469513505697,
0.39899662137031555,
-0.3178146481513977,
0.1732623130083084,
-0.044184811413288116,
0.22356382012367249,
0.1530674397945404,
-0.031643737107515335,
0.07378581166267395,
-0.1780216544866562,
-0.3110802173614502,
-0.2239464670419693,
-0.41653239727020264,
0.35408511757850647,
0.09462448954582214,
-0.20846572518348694,
0.0869981050491333,
0.24481096863746643,
0.09113103151321411,
-0.2714417576789856,
0.33740630745887756,
0.39424213767051697,
-0.013790697790682316,
0.17862364649772644,
-0.040982283651828766,
0.782871425151825,
0.38780489563941956,
-0.11633782833814621,
0.08909591287374496,
-0.1653096228837967,
0.30338573455810547,
0.02732103317975998,
0.10152129828929901,
0.165683314204216,
-0.12508714199066162,
-0.13380086421966553,
0.19046875834465027,
0.3938685953617096,
-0.19231145083904266,
-0.2761596739292145,
0.3090684711933136,
0.2963235676288605,
0.3791378438472748,
0.18517270684242249,
0.046606555581092834,
0.3087802529335022,
-0.012175876647233963,
0.22883780300617218,
0.08569778501987457,
0.17001846432685852,
0.44463011622428894,
-0.015017685480415821,
-0.149693563580513,
-0.07364744693040848,
-0.24480433762073517,
-0.31907719373703003,
-0.24239026010036469,
0.1053241714835167,
-0.12534378468990326,
0.06371266394853592,
-0.13501380383968353,
0.479557603597641,
-0.18676088750362396,
0.4332153797149658,
0.019766712561249733,
-0.318354994058609,
0.11428608745336533,
0.24963220953941345,
-0.2459229975938797,
0.05072203278541565,
-0.032061316072940826,
-0.2735676169395447,
-0.19744296371936798,
-0.12815222144126892,
0.4675576984882355,
0.2643013298511505,
-0.18208633363246918,
-0.29033833742141724,
-0.17927522957324982,
-0.009771977551281452,
0.16735287010669708,
0.37810957431793213,
0.4931950271129608,
0.2174016535282135,
-0.23251928389072418,
0.13885164260864258,
0.14542190730571747,
-0.12461980432271957,
-0.33353549242019653,
-0.1084514632821083,
0.12606148421764374,
-0.15928490459918976,
0.20721007883548737,
0.42981231212615967,
-0.32244277000427246,
0.07744569331407547,
-0.12384378165006638,
0.03547756373882294,
-0.13220739364624023,
-0.2717389464378357,
0.030616676434874535,
-0.43420037627220154,
-0.15630154311656952,
0.03174436464905739,
-0.17103658616542816,
0.1918586790561676,
0.9666600227355957,
0.06149475648999214,
0.20077769458293915,
-0.18781888484954834,
-0.015118599869310856,
-0.20959633588790894,
0.17482054233551025,
-0.5250990986824036,
0.21809245645999908,
-0.1759723722934723,
-0.07979467511177063,
-0.16315677762031555,
0.2668922543525696,
-0.2849743664264679,
-0.22890253365039825,
0.17995333671569824,
-0.15777553617954254,
0.3327464461326599,
0.2898227870464325,
0.1722332239151001,
0.11206047981977463,
0.04333662614226341,
-0.13135670125484467,
-0.14088349044322968,
-0.04713470861315727,
0.10009501874446869,
0.12241394072771072,
0.0846710205078125,
0.3393620252609253,
-0.037495002150535583,
-0.18758778274059296,
-0.19110754132270813,
0.19971632957458496,
0.24985694885253906,
-0.0930987298488617,
0.08678851276636124,
0.24760368466377258,
-0.29602277278900146,
-0.1283227503299713,
-0.08523260802030563,
0.5458859801292419,
0.2416352778673172,
0.13735003769397736,
0.1575447916984558,
0.3756001591682434,
-0.09079961478710175,
-0.038903094828128815,
-0.07435794174671173,
0.4465693235397339,
-0.3893511891365051,
0.2567906975746155,
0.036853671073913574,
0.09243869036436081,
-0.13186980783939362,
0.03822946548461914,
-0.2625071406364441,
-0.5318458676338196,
-0.012972931377589703,
0.1900569200515747,
-0.05724000185728073,
0.20679323375225067,
-0.36436280608177185,
0.022032978013157845,
-0.26102885603904724,
-0.09930068999528885,
-0.02965007722377777,
0.2112356275320053,
0.37755802273750305,
0.07074391841888428,
0.8590605854988098,
0.11811655014753342,
-0.11029195785522461,
-0.0721646249294281,
0.4866429567337036,
0.22771117091178894,
0.39008045196533203,
0.13891077041625977,
0.09025684744119644,
0.0017616688273847103,
0.10719459503889084,
-0.16587112843990326,
-0.07671118527650833,
-0.13972194492816925,
0.4415699541568756,
0.454982727766037,
0.32754531502723694,
-0.20021578669548035,
-0.20803426206111908,
0.24367699027061462,
0.18482738733291626,
0.014334077946841717,
0.23309212923049927,
-0.08115053921937943,
0.12781958281993866,
0.09431014209985733,
-0.7621111869812012,
-0.09892009198665619,
0.07419566810131073,
-0.16120032966136932,
-0.15801450610160828,
-0.12280502915382385,
-0.2658146917819977,
-0.11310730874538422,
0.3679632842540741,
0.0979592576622963,
0.226737380027771,
-0.2759630084037781,
-0.14949993789196014,
-0.05910404771566391,
-0.2040785551071167,
0.2876170873641968,
0.25948917865753174,
0.0613488107919693,
0.48437637090682983,
-0.5644538402557373,
-0.30071717500686646,
0.42977404594421387,
0.21083788573741913,
0.019138116389513016,
-0.2560524046421051,
0.2916175127029419,
0.0555403009057045,
-0.02176857925951481,
-0.26670530438423157,
0.23909790813922882,
0.18271829187870026,
-0.14026692509651184,
0.1108374148607254,
-0.014656143262982368,
0.062215372920036316,
0.043425094336271286,
-0.058801330626010895,
0.012008662335574627,
-0.08062709122896194,
-0.4757099151611328,
0.13423475623130798,
-0.20503151416778564,
0.16521906852722168,
-0.12193158268928528,
0.4493805468082428,
0.08370654284954071,
-0.3802337348461151,
-0.2866358160972595,
-0.04445837065577507,
-0.22272135317325592,
0.01435281615704298,
0.05502232536673546,
-0.4033515453338623,
-0.16033098101615906,
0.3848736882209778,
0.1999773532152176,
-0.12101370841264725,
-0.6013123393058777,
0.06163457781076431,
0.257350891828537,
0.1335512101650238,
-0.13102930784225464,
0.11507020145654678,
0.26026254892349243,
0.14775680005550385,
-0.2571090757846832,
0.23596125841140747,
-0.014066101051867008,
0.29102134704589844,
0.09884369373321533,
-0.16290096938610077,
0.08296132832765579,
0.3361522853374481,
0.003927521873265505,
-0.24153627455234528,
-0.013702915981411934,
-0.12546353042125702,
0.28384748101234436,
-0.12509246170520782,
-0.14821293950080872,
-0.029125146567821503,
0.09563394635915756,
0.12166129052639008,
0.4608387053012848,
0.09020771831274033,
0.021487874910235405,
-0.06572093069553375,
-0.14753466844558716,
-0.40121620893478394,
-0.06006242334842682,
0.03288824111223221,
-0.1326180398464203,
0.014206317253410816,
0.05187305435538292,
-0.13590921461582184,
0.3132939636707306,
-0.009249288588762283,
0.43694525957107544,
0.12656542658805847,
-0.024377290159463882,
-0.14826251566410065,
0.4578137695789337,
-0.4662647247314453,
-0.1687982976436615,
0.28169554471969604,
-0.11046410351991653,
0.0842430368065834,
-0.11323792487382889,
-0.10509437322616577,
-0.01785527728497982,
0.17952178418636322,
-0.15866203606128693,
0.22237525880336761,
-0.2001095563173294,
0.4053359031677246,
0.2907795011997223,
-0.03121282532811165,
-0.35276666283607483,
-0.0743962973356247,
0.18313200771808624,
0.27748629450798035,
-0.017893696203827858,
0.38301995396614075,
0.17758134007453918,
0.059883713722229004,
-0.1240595281124115,
0.266304075717926,
-0.18348103761672974,
-0.0043845875188708305,
0.04803823307156563,
-0.299056738615036
] |
https://github.com/huggingface/datasets/issues/163 | [Feature request] Add cos-e v1.0 | @mariamabarham I'm also not sure where to find CQA 1.0. Perhaps it's not possible to include this version of the dataset. I'll close the issue if that's the case. | I noticed the second release of cos-e (v1.11) is included in this repo. I wanted to request inclusion of v1.0, since this is the version on which results are reported on in [the paper](https://www.aclweb.org/anthology/P19-1487/), and v1.11 has noted [annotation](https://github.com/salesforce/cos-e/issues/2) [issues](https://arxiv.org/pdf/2004.14546.pdf). | 29 | [Feature request] Add cos-e v1.0
I noticed the second release of cos-e (v1.11) is included in this repo. I wanted to request inclusion of v1.0, since this is the version on which results are reported on in [the paper](https://www.aclweb.org/anthology/P19-1487/), and v1.11 has noted [annotation](https://github.com/salesforce/cos-e/issues/2) [issues](https://arxiv.org/pdf/2004.14546.pdf).
@mariamabarham I'm also not sure where to find CQA 1.0. Perhaps it's not possible to include this version of the dataset. I'll close the issue if that's the case. | [
-0.2492516189813614,
-0.10364528000354767,
-0.13912147283554077,
-0.42108508944511414,
-0.5307979583740234,
-0.06874842196702957,
-0.07874950766563416,
0.07906591892242432,
-0.2197636514902115,
0.4390557110309601,
0.1513826698064804,
0.29369908571243286,
0.06534161418676376,
0.4375331699848175,
0.00677889259532094,
0.2519572675228119,
0.1544279307126999,
0.3981415331363678,
-0.03590266406536102,
-0.081110879778862,
-0.09899769723415375,
0.3010998070240021,
-0.22698070108890533,
-0.059495504945516586,
0.06923222541809082,
-0.020368196070194244,
-0.272861510515213,
-0.1656869351863861,
-0.15396244823932648,
-0.15395841002464294,
0.4113926291465759,
0.3626807630062103,
0.20779551565647125,
0.00431181350722909,
-0.00011051368346670642,
-0.21097931265830994,
0.2824908196926117,
-0.12771229445934296,
-0.23003928363323212,
-0.12380530685186386,
-0.33321258425712585,
-0.3251549303531647,
0.008640189655125141,
0.0028277591336518526,
0.08679977804422379,
0.1362750232219696,
0.12899689376354218,
-0.10482513159513474,
0.0015904215397313237,
0.1707078069448471,
0.26446297764778137,
0.26653358340263367,
-0.005566049832850695,
-0.39218857884407043,
0.16724230349063873,
0.27682921290397644,
-0.31645846366882324,
-0.14915384352207184,
0.3068578541278839,
-0.017131920903921127,
0.08296902477741241,
0.5250520706176758,
0.2620766758918762,
-0.17759619653224945,
-0.12935487926006317,
-0.05383484438061714,
0.12355459481477737,
-0.11475835740566254,
0.3260292708873749,
0.055493999272584915,
0.5153294801712036,
0.14862225949764252,
-0.4204438328742981,
0.383330374956131,
-0.001999185187742114,
-0.3895682990550995,
0.2576100528240204,
-0.05857387185096741,
0.0061521572060883045,
0.05968845635652542,
0.14559179544448853,
-0.15127761662006378,
-0.3991321623325348,
0.1424819976091385,
-0.17090915143489838,
0.031246913596987724,
-0.1322280764579773,
-0.2196558117866516,
0.08026821166276932,
0.09614326804876328,
-0.10330715775489807,
0.20984381437301636,
-0.2582561671733856,
0.18841126561164856,
-0.277146577835083,
-0.2824537456035614,
0.3214116394519806,
0.06597057729959488,
0.4131600856781006,
-0.06235172599554062,
0.15197372436523438,
-0.09950979053974152,
-0.11116881668567657,
0.14640194177627563,
0.05179976299405098,
0.25040239095687866,
0.23542837798595428,
-0.05337193235754967,
0.32314926385879517,
0.22540916502475739,
0.4800471067428589,
-0.03999696671962738,
0.16129687428474426,
0.04168181121349335,
-0.21857859194278717,
0.0124273132532835,
-0.026502322405576706,
-0.6751198172569275,
-0.2794661223888397,
0.0029018851928412914,
-0.07580011337995529,
0.059032049030065536,
-0.0788477435708046,
0.14038997888565063,
0.3872992992401123,
0.11087072640657425,
0.23839251697063446,
-0.03799457475543022,
-0.06861971318721771,
-0.5039106011390686,
-0.3114446997642517,
0.04990089684724808,
-0.0885661393404007,
0.2114316076040268,
0.2986612319946289,
-0.22972550988197327,
0.306023508310318,
-0.3308390974998474,
0.3673436939716339,
0.11446870863437653,
-0.20475664734840393,
0.366653710603714,
-0.1926843225955963,
0.28552544116973877,
0.06034709885716438,
0.04286782070994377,
-0.22038331627845764,
0.35715654492378235,
-0.2228282392024994,
0.09571941196918488,
-0.26771533489227295,
-0.4235020875930786,
-0.47084832191467285,
0.19991588592529297,
0.05588282644748688,
-0.22937530279159546,
0.04921968653798103,
0.3272184729576111,
-0.20584699511528015,
-0.17717047035694122,
-0.02569678984582424,
0.3373240530490875,
-0.10757403075695038,
-0.12294215708971024,
0.11131095141172409,
0.18788529932498932,
-0.2905886173248291,
-0.009798011742532253,
-0.36860162019729614,
0.04430435597896576,
-0.044148221611976624,
0.04356656223535538,
-0.10054685920476913,
-0.22311905026435852,
-0.11662525683641434,
-0.23496823012828827,
0.30609071254730225,
-0.37219464778900146,
-0.41131791472435,
0.13090968132019043,
0.05861261859536171,
-0.34151050448417664,
0.12815269827842712,
-0.1533481627702713,
0.01939266361296177,
-0.1947709619998932,
-0.17797856032848358,
0.1028161495923996,
-0.18041373789310455,
-0.16533124446868896,
-0.02364656887948513,
-0.4142698645591736,
-0.12499187141656876,
0.2005961686372757,
0.12091860920190811,
0.06461574882268906,
0.27017340064048767,
-0.611605703830719,
0.055760789662599564,
-0.13917455077171326,
0.11108922213315964,
0.0837540253996849,
0.7464853525161743,
-0.046157434582710266,
0.18957947194576263,
0.1458413451910019,
-0.31344035267829895,
0.023550964891910553,
-0.2664182782173157,
0.1402667611837387,
0.11664498597383499,
-0.3408266305923462,
-0.09279312938451767,
0.0023917427752166986,
0.06440760940313339,
-0.33980387449264526,
0.13861176371574402,
0.09465918689966202,
0.050836775451898575,
0.09796710312366486,
0.12586471438407898,
0.309498131275177,
-0.19311794638633728,
-0.22526556253433228,
0.00183396867942065,
0.1426393836736679,
-0.2699933350086212,
-0.10479789227247238,
0.14433225989341736,
0.28665801882743835,
0.025029083713889122,
-0.04019142687320709,
-0.16687466204166412,
0.2657508850097656,
-0.16327407956123352,
0.2737017869949341,
0.0959019660949707,
0.3830801844596863,
0.1436949223279953,
-0.14276307821273804,
0.07344518601894379,
-0.11707842350006104,
-0.12005702406167984,
0.3190229535102844,
-0.11595245450735092,
0.3486652076244354,
0.08622628450393677,
-0.08114521205425262,
-0.03529343381524086,
0.18887202441692352,
0.1800479143857956,
-0.03710193186998367,
-0.21818657219409943,
-0.10062822699546814,
0.194736048579216,
0.0921783521771431,
-0.3050861060619354,
-0.3667621910572052,
-0.24421155452728271,
0.05284825339913368,
0.18153144419193268,
-0.008826361037790775,
0.09464158117771149,
0.1603843718767166,
-0.038517557084560394,
-0.16388599574565887,
0.44971251487731934,
-0.09222906827926636,
0.10848819464445114,
0.3049636483192444,
-0.20059606432914734,
-0.15271058678627014,
-0.14874981343746185,
0.04772194102406502,
0.129911407828331,
0.26417914032936096,
-0.08511517941951752,
-0.049024514853954315,
0.3393491208553314,
0.14000314474105835,
-0.3533048927783966,
-0.2279835045337677,
-0.05839714780449867,
0.028281498700380325,
0.0008938511600717902,
-0.09523627907037735,
-0.13379181921482086,
0.006519919261336327,
0.03023514710366726,
0.0011714436113834381,
0.13668015599250793,
-0.23665054142475128,
0.36741745471954346,
0.1476508527994156,
-0.11774155497550964,
0.38227707147598267,
-0.007209445349872112,
0.7501001358032227,
-0.1117478534579277,
0.30824923515319824,
-0.18576043844223022,
0.12192919105291367,
-0.42350342869758606,
0.2297057807445526,
-0.28927668929100037,
-0.12859049439430237,
0.4955849051475525,
-0.09794554859399796,
0.4712076187133789,
-0.10985393822193146,
-0.7647410035133362,
0.06731855869293213,
-0.12290865927934647,
-0.015936627984046936,
0.014705231413245201,
-0.2569582760334015,
-0.15914709866046906,
-0.01935483328998089,
-0.049182143062353134,
-0.33155882358551025,
-0.4355299472808838,
-0.05172494053840637,
-0.4801783263683319,
-0.005570733454078436,
-0.3519708216190338,
-0.45951053500175476,
-0.021146131679415703,
-0.21627868711948395,
-0.19869275391101837,
-0.21795013546943665,
0.1730872392654419,
0.2513790428638458,
0.025441640987992287,
0.050335269421339035,
-0.015436293557286263,
0.007242842111736536,
-0.2543783485889435,
0.12977904081344604,
0.49869686365127563,
-0.3865445852279663,
-0.5030512809753418,
0.2911548614501953,
-0.0433313250541687,
0.3502505421638489,
-0.006292901001870632,
-0.35988497734069824,
-0.2641656994819641,
0.000894879107363522,
0.14793294668197632,
-0.009468075819313526,
0.03826894611120224,
0.7621442079544067,
-0.1158134788274765,
-0.19106900691986084,
-0.11626727133989334,
-0.5392227172851562,
0.1955433040857315,
0.49827268719673157,
0.24280840158462524,
-0.27890607714653015,
0.38106828927993774,
0.20991535484790802,
0.3193809688091278,
0.35116782784461975,
-0.056519344449043274,
0.121635802090168,
0.16339349746704102,
0.14771686494350433,
-0.19633907079696655,
-0.0166929941624403,
0.14289222657680511,
0.07544197142124176,
0.14860881865024567,
0.5334338545799255,
0.12728312611579895,
-0.37974217534065247,
-0.2531403601169586,
-0.2787436842918396,
-0.05657949671149254,
0.052457790821790695,
-0.2920553982257843,
0.01573851704597473,
0.5925151109695435,
-0.027571244165301323,
-0.16437633335590363,
-0.29470551013946533,
-0.024257773533463478,
0.18267162144184113,
0.4032699763774872,
0.22562946379184723,
-0.011568904854357243,
0.0843055248260498,
-0.07599929720163345,
-0.3604990839958191,
0.38195058703422546,
0.05675142630934715,
0.10147171467542648,
-0.1281963735818863,
0.061538659036159515,
0.16979165375232697,
0.01039549708366394,
0.23315414786338806,
-0.19572308659553528,
-0.270768940448761,
-0.09753907471895218,
-0.03323459252715111,
0.20889633893966675,
-0.07565899193286896,
-0.060406189411878586,
-0.17605648934841156,
-0.058455243706703186,
-0.17866380512714386,
0.03458090126514435,
-0.09470604360103607,
0.5656786561012268,
-0.2811230421066284,
-0.045757029205560684,
-0.09696969389915466,
-0.017560169100761414,
-0.2522434890270233,
-0.05329679697751999,
0.018999850377440453,
-0.14617544412612915,
-0.029697058722376823,
-0.0632442981004715,
-0.20307795703411102,
0.3560209274291992,
-0.1344764530658722,
0.005193919874727726,
0.20223873853683472,
0.01302633062005043,
0.05348793789744377,
0.06713123619556427,
0.0382126085460186,
0.031946904957294464,
0.20771455764770508,
0.022880936041474342,
0.3638216555118561,
-0.14250902831554413,
0.2619233727455139,
-0.25988489389419556,
0.2579028606414795,
0.17956480383872986,
-0.053154438734054565,
0.0472467802464962,
-0.20904166996479034,
-0.23196910321712494,
-0.11197536438703537,
-0.26540473103523254,
0.2837344706058502,
0.03603328391909599,
-0.14099210500717163,
0.12018943578004837,
0.24428658187389374,
0.02649674564599991,
-0.24268624186515808,
0.23383928835391998,
0.3414635956287384,
-0.1066095381975174,
0.31874993443489075,
0.01441032811999321,
0.7144328355789185,
0.28476572036743164,
-0.15132971107959747,
0.1777026653289795,
-0.09784656763076782,
0.28467857837677,
-0.08520686626434326,
0.03084232099354267,
0.14362390339374542,
-0.029414216056466103,
-0.1080329418182373,
0.2240849882364273,
0.47330933809280396,
-0.18071278929710388,
-0.4074779152870178,
0.23934665322303772,
0.37372520565986633,
0.25265422463417053,
0.1791730523109436,
0.02582426369190216,
0.27924439311027527,
-0.19411848485469818,
0.2228650599718094,
0.16126234829425812,
0.11865916848182678,
0.24784338474273682,
-0.007930280640721321,
-0.1217644065618515,
-0.10707350075244904,
-0.33475080132484436,
-0.2222694456577301,
-0.1555018424987793,
0.17588740587234497,
-0.137101411819458,
0.12958714365959167,
-0.1396809220314026,
0.5002398490905762,
-0.21630369126796722,
0.3512283265590668,
0.07694292813539505,
-0.39390143752098083,
0.1984987109899521,
0.12374652922153473,
-0.0937175303697586,
-0.04847005009651184,
0.011539527215063572,
-0.09306968748569489,
-0.3150055408477783,
-0.040458619594573975,
0.2745906412601471,
0.13504855334758759,
-0.22948993742465973,
-0.1504879891872406,
-0.15534131228923798,
-0.051747456192970276,
0.19557838141918182,
0.3932061791419983,
0.4967651069164276,
0.20558060705661774,
-0.2776391804218292,
0.21186205744743347,
0.1932184398174286,
-0.09961529821157455,
-0.09029276669025421,
0.0016793938120827079,
0.05238150805234909,
-0.2097775936126709,
0.20240309834480286,
0.3447614908218384,
-0.20526725053787231,
0.11226953566074371,
-0.0696331337094307,
-0.07564307749271393,
-0.23330862820148468,
-0.3203873038291931,
-0.01394443865865469,
-0.5064805150032043,
-0.2149946093559265,
0.04626059904694557,
-0.2646351456642151,
0.16258898377418518,
0.9665587544441223,
0.019335635006427765,
0.08566265553236008,
-0.15413005650043488,
-0.12778082489967346,
-0.27205607295036316,
0.09145724773406982,
-0.6348618268966675,
0.3025995194911957,
-0.09700216352939606,
-0.010685326531529427,
-0.058876629918813705,
0.2275671660900116,
-0.400564581155777,
-0.23105911910533905,
0.08580867946147919,
-0.07548965513706207,
0.17271439731121063,
0.18505443632602692,
0.3002167344093323,
0.20005688071250916,
0.10802128911018372,
-0.03642868623137474,
-0.2978534400463104,
-0.14092525839805603,
0.06706120818853378,
0.09022767096757889,
0.08517438173294067,
0.26510581374168396,
0.015573768876492977,
-0.09612809121608734,
-0.36367708444595337,
0.14022478461265564,
0.3158975839614868,
-0.2554153501987457,
-0.08340796083211899,
0.2138916701078415,
-0.2956834137439728,
-0.1531856507062912,
0.07409316301345825,
0.268174946308136,
0.20325881242752075,
0.0001839410251704976,
0.02265312150120735,
0.4017670154571533,
-0.07402633875608444,
-0.12795953452587128,
0.0669444352388382,
0.3990156352519989,
-0.32437655329704285,
0.23266425728797913,
0.057870764285326004,
0.021776793524622917,
-0.07467729598283768,
-0.02741868793964386,
-0.11537857353687286,
-0.5985838770866394,
-0.052579473704099655,
0.08984797447919846,
0.027268588542938232,
0.27411359548568726,
-0.40830352902412415,
0.10977049916982651,
-0.23368966579437256,
-0.06540721654891968,
0.17333342134952545,
0.12680703401565552,
0.5387253761291504,
-0.043540939688682556,
0.9180060029029846,
0.10789868235588074,
-0.07989372313022614,
-0.07315359264612198,
0.3522467315196991,
0.09844809770584106,
0.19314135611057281,
0.20261429250240326,
0.16971656680107117,
0.017392121255397797,
0.08312444388866425,
-0.06407205015420914,
0.010315518826246262,
-0.09518510848283768,
0.3211268186569214,
0.4013405740261078,
0.15263168513774872,
-0.3137335777282715,
0.03715796023607254,
0.16140033304691315,
0.19644980132579803,
0.016423862427473068,
0.21400709450244904,
-0.09558103233575821,
0.1256728321313858,
0.11404736340045929,
-0.85201096534729,
-0.14799995720386505,
-0.00028107588877901435,
-0.15192845463752747,
-0.1547405868768692,
-0.1215369701385498,
-0.2612948417663574,
-0.10409160703420639,
0.29159030318260193,
0.10824879258871078,
0.29016774892807007,
-0.29568856954574585,
-0.08855556696653366,
-0.07152863591909409,
-0.0806170254945755,
0.14213530719280243,
0.14287453889846802,
0.08948025852441788,
0.5019296407699585,
-0.49050262570381165,
-0.25601011514663696,
0.30503714084625244,
0.304168164730072,
0.16102759540081024,
-0.2079572081565857,
0.28158438205718994,
0.18219377100467682,
0.019643358886241913,
-0.2664215564727783,
0.16778196394443512,
0.2630542814731598,
-0.0011913884663954377,
0.12151792645454407,
0.10152985155582428,
0.11109867691993713,
-0.06895548105239868,
0.019005026668310165,
-0.11042580008506775,
-0.00463815126568079,
-0.2969081997871399,
0.1431904137134552,
-0.07266102731227875,
0.12516352534294128,
-0.08303342759609222,
0.24224282801151276,
0.06060127913951874,
-0.33828580379486084,
-0.23554345965385437,
-0.14563855528831482,
-0.21853677928447723,
-0.14484553039073944,
0.11242623627185822,
-0.2741735577583313,
0.020280664786696434,
0.2404281049966812,
0.25404441356658936,
-0.026827899739146233,
-0.5908099412918091,
0.002973642898723483,
0.2741870582103729,
0.13339398801326752,
0.03358670696616173,
0.0834173858165741,
0.25750473141670227,
0.20823340117931366,
-0.26136985421180725,
0.29738911986351013,
-0.14023014903068542,
0.3001265823841095,
-0.008812443353235722,
-0.3560074269771576,
0.06686946749687195,
0.26842185854911804,
-0.008376084268093109,
-0.18063199520111084,
-0.04371901601552963,
-0.11608517915010452,
0.2443632036447525,
0.006212277337908745,
-0.218147411942482,
0.014315287582576275,
0.08671717345714569,
0.04670054465532303,
0.47451063990592957,
0.20910735428333282,
0.12969060242176056,
-0.14030103385448456,
-0.13858993351459503,
-0.41770780086517334,
-0.09693184494972229,
0.04019993171095848,
-0.16448217630386353,
0.07427629828453064,
0.2251124083995819,
-0.042595114558935165,
0.1396811455488205,
-0.003688121447339654,
0.4698244631290436,
0.07916274666786194,
-0.08481202274560928,
-0.12159710377454758,
0.5496423244476318,
-0.4163469076156616,
-0.1756494641304016,
0.12344039976596832,
-0.13445429503917694,
0.16413356363773346,
-0.18473394215106964,
-0.14443282783031464,
-0.1051093265414238,
0.27850866317749023,
-0.22749821841716766,
0.0910431295633316,
-0.08435239642858505,
0.31331154704093933,
0.11957185715436935,
-0.010894750244915485,
-0.338371604681015,
0.041730888187885284,
0.11309714615345001,
0.2314244955778122,
-0.08588790893554688,
0.44417452812194824,
0.10862798988819122,
0.01142162550240755,
-0.14661464095115662,
0.36385518312454224,
-0.15389685332775116,
-0.04098968580365181,
0.043749526143074036,
-0.31981801986694336
] |
https://github.com/huggingface/datasets/issues/163 | [Feature request] Add cos-e v1.0 | You can now do
```python
from nlp import load_dataset
cos_e = load_dataset("cos_e", "v1.0")
```
Thanks @mariamabarham ! | I noticed the second release of cos-e (v1.11) is included in this repo. I wanted to request inclusion of v1.0, since this is the version on which results are reported on in [the paper](https://www.aclweb.org/anthology/P19-1487/), and v1.11 has noted [annotation](https://github.com/salesforce/cos-e/issues/2) [issues](https://arxiv.org/pdf/2004.14546.pdf). | 17 | [Feature request] Add cos-e v1.0
I noticed the second release of cos-e (v1.11) is included in this repo. I wanted to request inclusion of v1.0, since this is the version on which results are reported on in [the paper](https://www.aclweb.org/anthology/P19-1487/), and v1.11 has noted [annotation](https://github.com/salesforce/cos-e/issues/2) [issues](https://arxiv.org/pdf/2004.14546.pdf).
You can now do
```python
from nlp import load_dataset
cos_e = load_dataset("cos_e", "v1.0")
```
Thanks @mariamabarham ! | [
-0.25247398018836975,
-0.26478496193885803,
-0.11422256380319595,
-0.4864543080329895,
-0.3794749677181244,
-0.20802795886993408,
0.08028761297464371,
0.18926985561847687,
0.1177971139550209,
0.3005789816379547,
-0.15577569603919983,
0.5226975083351135,
-0.14769305288791656,
0.4125772714614868,
0.14620853960514069,
0.10172688215970993,
0.03274611011147499,
0.36265653371810913,
-0.14609380066394806,
-0.2017548680305481,
-0.24998566508293152,
0.22434002161026,
-0.17047907412052155,
-0.054653652012348175,
0.21928025782108307,
0.0769510492682457,
-0.29594308137893677,
0.07935701310634613,
-0.06169765815138817,
-0.19533933699131012,
0.3291562795639038,
0.32923299074172974,
0.18306899070739746,
0.06467704474925995,
-0.00010421490151202306,
-0.23515966534614563,
0.25748446583747864,
-0.1284157782793045,
-0.2869001626968384,
-0.18150916695594788,
-0.18946315348148346,
-0.4737761914730072,
0.22126206755638123,
-0.21765995025634766,
0.10919737070798874,
0.12459331750869751,
0.20315469801425934,
-0.12437333911657333,
0.12705610692501068,
0.2281513214111328,
0.32328739762306213,
0.40828630328178406,
-0.034266382455825806,
-0.18497438728809357,
0.2077932059764862,
0.27063989639282227,
-0.2086317539215088,
-0.012949217110872269,
0.15916523337364197,
-0.2754570543766022,
-0.19682717323303223,
0.4057950973510742,
0.1401132345199585,
-0.09584784507751465,
-0.1321590691804886,
-0.06573233753442764,
0.1608225554227829,
0.021586479619145393,
0.010287469252943993,
0.03543566167354584,
0.2350434958934784,
-0.049714911729097366,
-0.3959870934486389,
0.14017361402511597,
0.028912648558616638,
-0.566857099533081,
0.0933171734213829,
-0.08714453876018524,
-0.12451322376728058,
-0.14305652678012848,
0.2074774205684662,
-0.1623462736606598,
-0.4726058840751648,
0.2572449743747711,
0.004829579032957554,
0.29475754499435425,
-0.06364818662405014,
-0.20170080661773682,
0.22664408385753632,
0.04250159114599228,
-0.07998202741146088,
0.15150269865989685,
-0.03282922878861427,
0.3442158102989197,
-0.5325772762298584,
-0.2802599370479584,
0.3405757248401642,
0.09036599844694138,
0.2678714990615845,
0.04260275885462761,
0.29281696677207947,
0.1416623890399933,
-0.003866570768877864,
0.19317752122879028,
0.030217958614230156,
0.24012543261051178,
0.29266491532325745,
-0.04129928722977638,
0.42817920446395874,
0.2653527557849884,
0.3137468099594116,
0.0563645176589489,
0.07044044137001038,
-0.10898221284151077,
-0.14500035345554352,
-0.06849303096532822,
0.008153818547725677,
-0.46858859062194824,
-0.26381605863571167,
-0.05357560142874718,
-0.055846378207206726,
0.1455134153366089,
-0.013917938806116581,
0.27329736948013306,
0.17012718319892883,
0.24480260908603668,
0.43004289269447327,
0.009215160273015499,
-0.2248598337173462,
-0.39519909024238586,
-0.29168084263801575,
0.09738122671842575,
-0.3190461993217468,
0.08400393277406693,
0.3731900751590729,
-0.20060047507286072,
0.27423202991485596,
-0.4334008991718292,
0.25433459877967834,
0.07114213705062866,
-0.19919119775295258,
0.2366589456796646,
-0.11447160691022873,
0.061436738818883896,
0.22511300444602966,
-0.042978931218385696,
-0.23836006224155426,
0.20623290538787842,
-0.2083875685930252,
-0.08082154393196106,
-0.31519249081611633,
-0.3829510509967804,
-0.4068826138973236,
0.2756212055683136,
-0.05516820028424263,
-0.31489723920822144,
-0.13434965908527374,
0.32343706488609314,
-0.1739307940006256,
-0.18654800951480865,
-0.036193445324897766,
0.13921807706356049,
-0.254175066947937,
-0.12859705090522766,
0.0910562127828598,
0.1125255823135376,
0.054605964571237564,
-0.13686439394950867,
-0.5214043855667114,
0.001388277392834425,
-0.010002242401242256,
0.0492771752178669,
0.021899739280343056,
-0.12459694594144821,
-0.130900040268898,
-0.13090990483760834,
0.579158365726471,
-0.36789393424987793,
-0.06391055136919022,
0.12525269389152527,
0.053750764578580856,
-0.2881128489971161,
0.09406495094299316,
-0.1714257001876831,
-0.14280198514461517,
-0.10669828951358795,
-0.10121865570545197,
0.341888964176178,
-0.07049576938152313,
0.09957355260848999,
-0.11652079224586487,
-0.3035581409931183,
-0.012261444702744484,
0.30136382579803467,
0.2912398874759674,
-0.08109161257743835,
0.23300935328006744,
-0.15536558628082275,
0.20717039704322815,
-0.27829286456108093,
0.034141380339860916,
0.054512809962034225,
0.5859819054603577,
0.046290457248687744,
0.09907370060682297,
-0.05174309015274048,
-0.31716135144233704,
0.016678931191563606,
-0.11427254229784012,
0.29519733786582947,
0.11283326894044876,
-0.2925978899002075,
-0.03222913667559624,
0.05407179519534111,
0.11803635209798813,
-0.1114928349852562,
0.26141393184661865,
0.11125155538320541,
0.023204412311315536,
0.07920379191637039,
0.07408259063959122,
0.3704972267150879,
-0.1423625648021698,
-0.1394183337688446,
-0.25196871161460876,
0.19473204016685486,
-0.21140143275260925,
-0.09095337241888046,
0.0903235375881195,
0.3076283633708954,
-0.014147050678730011,
-0.01649150252342224,
-0.09004524350166321,
0.34207871556282043,
-0.19772452116012573,
0.3473967909812927,
0.06613938510417938,
0.11991211026906967,
0.03165224939584732,
-0.18702678382396698,
0.10462124645709991,
0.020478153601288795,
0.10501959919929504,
0.19834351539611816,
-0.18742139637470245,
0.47520485520362854,
0.0901666134595871,
-0.05945897474884987,
0.09390728175640106,
0.032953985035419464,
0.15092258155345917,
-0.2320464551448822,
-0.30256155133247375,
0.012772483751177788,
0.38707539439201355,
0.11589349806308746,
-0.3680187463760376,
-0.3732738792896271,
-0.37219536304473877,
-0.06634058803319931,
0.15661004185676575,
0.005696177948266268,
0.21773922443389893,
0.1688700169324875,
-0.022963572293519974,
-0.24440841376781464,
0.23325835168361664,
-0.09595482796430588,
0.3129545748233795,
0.3339042067527771,
-0.08845458924770355,
0.03661453351378441,
-0.34952232241630554,
0.03818830847740173,
0.184769406914711,
0.21045885980129242,
-0.0037195715121924877,
0.18175502121448517,
0.4397560954093933,
-0.033547479659318924,
-0.48965147137641907,
-0.41225677728652954,
-0.22404542565345764,
0.04827684164047241,
-0.24939976632595062,
-0.012750890105962753,
-0.06169255077838898,
-0.14514486491680145,
-0.05505021661520004,
0.09441985934972763,
0.09586106240749359,
-0.3651609718799591,
0.2836422026157379,
0.33103182911872864,
-0.2519615590572357,
0.19968418776988983,
-0.01126991119235754,
0.6269267201423645,
-0.04075019434094429,
0.1283239722251892,
-0.23835818469524384,
-0.0503174364566803,
-0.24117912352085114,
0.2618352472782135,
-0.24112769961357117,
0.031092504039406776,
0.48307761549949646,
-0.18815037608146667,
0.2633422017097473,
0.05125856027007103,
-0.6950429081916809,
0.019227860495448112,
-0.12177242338657379,
-0.06724274903535843,
0.10748764872550964,
-0.3113570511341095,
-0.10114439576864243,
-0.06949933618307114,
0.043600648641586304,
-0.6364915370941162,
-0.34482088685035706,
-0.013514435850083828,
-0.23367244005203247,
0.1660439521074295,
-0.40941816568374634,
-0.43483325839042664,
-0.10463457554578781,
-0.3718425929546356,
-0.12796851992607117,
0.09901633113622665,
0.18222947418689728,
0.39012715220451355,
-0.00585034629330039,
0.1749870777130127,
0.06103974208235741,
0.05882646143436432,
-0.3134269416332245,
0.17933981120586395,
0.42067235708236694,
-0.40305981040000916,
-0.5246385335922241,
0.008747668005526066,
-0.09246662259101868,
0.32258492708206177,
0.09169090539216995,
-0.11638464778661728,
-0.3931528329849243,
0.1710185706615448,
0.03368848189711571,
-0.1324879676103592,
0.27087709307670593,
0.4044109880924225,
-0.032161418348550797,
-0.21041612327098846,
-0.1765943318605423,
-0.24583227932453156,
0.150851771235466,
0.45187434554100037,
0.13134096562862396,
-0.24895334243774414,
0.2793436050415039,
0.08622337877750397,
0.11332707852125168,
0.10454542934894562,
-0.16755050420761108,
0.2823273837566376,
-0.027697859331965446,
0.20288503170013428,
-0.001617696601897478,
-0.0004303008900023997,
0.07328096032142639,
0.0729726180434227,
0.22535473108291626,
0.5441485643386841,
0.14013390243053436,
-0.4167070686817169,
-0.3592554032802582,
-0.30449479818344116,
-0.03829605132341385,
-0.0881943330168724,
-0.05756612494587898,
0.2055097222328186,
0.35951921343803406,
-0.028068702667951584,
-0.1992827206850052,
-0.4128100872039795,
-0.20246325433254242,
-0.012766615487635136,
0.23737002909183502,
0.004086571745574474,
-0.06508563458919525,
0.09634526818990707,
0.0386570505797863,
-0.49792617559432983,
0.38196200132369995,
0.11513090133666992,
0.07316866517066956,
0.038020066916942596,
-0.08453972637653351,
0.06384678930044174,
-0.10432208329439163,
0.187059685587883,
-0.1114230751991272,
0.00545691279694438,
-0.056445103138685226,
-0.10295866429805756,
-0.17706327140331268,
0.056419216096401215,
-0.37846603989601135,
-0.19693288207054138,
0.07580847293138504,
-0.009619825519621372,
-0.000914979085791856,
-0.17845605313777924,
0.6600252985954285,
-0.08007165789604187,
-0.05716071277856827,
-0.1971150040626526,
-0.012537197209894657,
-0.4126780927181244,
-0.07509056478738785,
-0.0036728112027049065,
-0.15633101761341095,
0.21791595220565796,
-0.120223268866539,
-0.08209189772605896,
0.17336593568325043,
-0.01764693483710289,
0.11866375803947449,
0.28284594416618347,
-0.07113201171159744,
0.12168481945991516,
-0.015217212028801441,
-0.025802413001656532,
0.07832588255405426,
0.11322911083698273,
0.11903868615627289,
0.1873854249715805,
-0.06267848610877991,
0.050075940787792206,
-0.05787036567926407,
0.29155245423316956,
0.18741922080516815,
0.09294907748699188,
0.022943198680877686,
-0.3587075471878052,
-0.09099864214658737,
-0.08881648629903793,
-0.006467881612479687,
0.28515705466270447,
0.23027606308460236,
-0.2992841899394989,
0.01836075261235237,
0.40848487615585327,
0.11278720200061798,
-0.22551417350769043,
0.13825827836990356,
0.035436227917671204,
-0.43261751532554626,
0.5216683745384216,
-0.047607678920030594,
0.6814635396003723,
0.2664853632450104,
0.06667958199977875,
0.4089909791946411,
0.019803693518042564,
0.619162380695343,
-0.12821902334690094,
0.09045027941465378,
0.008613633923232555,
-0.07493513077497482,
-0.028318963944911957,
0.25809162855148315,
0.2802240252494812,
-0.1453399807214737,
-0.302685409784317,
0.35803529620170593,
0.4741484224796295,
-0.02822926826775074,
0.06607978045940399,
0.19065847992897034,
0.26750051975250244,
-0.3572767376899719,
-0.1759166419506073,
0.19538584351539612,
-0.05740028992295265,
0.19830577075481415,
-0.009514258243143559,
-0.07632477581501007,
-0.03352498635649681,
-0.34461966156959534,
-0.09483549743890762,
-0.004619645420461893,
0.40876227617263794,
0.06272813677787781,
-0.013135116547346115,
0.00018215621821582317,
0.35457536578178406,
-0.251066654920578,
0.2068144977092743,
0.12703579664230347,
-0.23320062458515167,
0.13416174054145813,
0.03041515126824379,
0.033476002514362335,
-0.057564567774534225,
0.06580711156129837,
0.17728327214717865,
-0.21683046221733093,
-0.09247511625289917,
0.13309289515018463,
0.2801993787288666,
-0.22764916718006134,
0.07511981576681137,
-0.059924524277448654,
-0.09679807722568512,
0.09913405030965805,
0.27097466588020325,
0.5199604630470276,
0.04232712835073471,
-0.2932431995868683,
0.24941058456897736,
0.21730127930641174,
-0.24735358357429504,
0.1259591430425644,
0.14907799661159515,
-0.1499183624982834,
-0.12614040076732635,
0.4295511841773987,
0.32879021763801575,
-0.17596828937530518,
0.16236048936843872,
0.028476493433117867,
-0.0659819096326828,
-0.265457421541214,
-0.2450835257768631,
-0.0956837460398674,
-0.5750576257705688,
-0.06528180837631226,
0.11142838001251221,
-0.18903690576553345,
0.20219182968139648,
0.7269641757011414,
-0.03920890390872955,
0.20746299624443054,
-0.10957187414169312,
-0.25682294368743896,
-0.27607446908950806,
0.05067749693989754,
-0.45215514302253723,
0.22447267174720764,
0.1467542052268982,
0.0574888214468956,
-0.057873159646987915,
0.08658470958471298,
-0.4668601453304291,
-0.2237444818019867,
0.07354486733675003,
-0.011188284493982792,
0.3666559159755707,
0.08408203721046448,
0.3317530155181885,
0.07002545893192291,
0.25914931297302246,
0.017092570662498474,
-0.18132854998111725,
-0.271454393863678,
-0.12523701786994934,
0.07885979115962982,
0.0218804944306612,
0.17113493382930756,
0.09806948155164719,
-0.05675014480948448,
-0.27304205298423767,
-0.05970102921128273,
0.18825013935565948,
-0.08539971709251404,
-0.186428040266037,
0.3759683072566986,
-0.20979605615139008,
-0.13131263852119446,
0.37401965260505676,
0.2997761368751526,
0.20191803574562073,
0.013176705688238144,
-0.10522761195898056,
0.4919644594192505,
-0.06271237879991531,
-0.10722273588180542,
0.04128710925579071,
0.1994611918926239,
-0.2113649994134903,
0.1068020910024643,
0.08347363770008087,
0.0005003410624340177,
-0.2596774399280548,
-0.20306313037872314,
0.21257956326007843,
-0.2958906888961792,
0.01585974171757698,
0.0698932483792305,
0.07521279156208038,
0.3328961133956909,
-0.4336082637310028,
0.15516607463359833,
-0.0699423998594284,
-0.15005697309970856,
0.38073331117630005,
0.1659955531358719,
0.25933748483657837,
-0.14491328597068787,
0.6386485695838928,
-0.011185668408870697,
-0.019398875534534454,
0.06352314352989197,
0.2700660526752472,
0.007332291454076767,
0.08318625390529633,
0.007491759955883026,
0.06729592382907867,
0.002586598973721266,
0.2614637017250061,
-0.02446972019970417,
0.043506935238838196,
-0.026396824046969414,
0.19555123150348663,
0.3980354964733124,
-0.004165648482739925,
-0.2185801863670349,
-0.040635257959365845,
0.26924821734428406,
0.13353000581264496,
0.22033332288265228,
0.12551991641521454,
0.013996127061545849,
-0.026474693790078163,
0.07339467853307724,
-0.6518133282661438,
0.10224466770887375,
0.04633386433124542,
-0.2674895226955414,
-0.19240356981754303,
-0.0601472444832325,
-0.528367817401886,
-0.03477101773023605,
0.16022349894046783,
-0.09570533782243729,
0.11657224595546722,
-0.05166484788060188,
0.07509500533342361,
-0.1783222109079361,
-0.0644860491156578,
0.15219172835350037,
0.2097458839416504,
-0.07242745906114578,
0.26005929708480835,
-0.31430912017822266,
-0.13356681168079376,
0.11316905170679092,
0.3317929804325104,
0.25361526012420654,
-0.07983961701393127,
0.25138047337532043,
0.1893158107995987,
0.07819001376628876,
-0.06341101974248886,
0.015541641972959042,
0.12749674916267395,
0.17518645524978638,
0.15679284930229187,
0.34565579891204834,
0.19967445731163025,
-0.2353813499212265,
0.10903971642255783,
0.018087217584252357,
-0.18517619371414185,
-0.18787050247192383,
0.29476118087768555,
0.2506920397281647,
0.12793835997581482,
-0.1549277901649475,
0.0566546805202961,
-0.22269326448440552,
-0.3151549994945526,
-0.05655500292778015,
-0.04162653163075447,
-0.06579119712114334,
-0.2692042589187622,
0.14210399985313416,
-0.1014510914683342,
0.24289904534816742,
0.2020774781703949,
0.30529677867889404,
0.07524054497480392,
-0.4313351809978485,
-0.16718439757823944,
0.21204787492752075,
0.1855374425649643,
-0.2335086315870285,
-0.04269825667142868,
0.1669415384531021,
0.14643697440624237,
-0.24126192927360535,
0.10201074182987213,
-0.13331803679466248,
0.42490431666374207,
-0.0015242679510265589,
-0.3902808725833893,
0.15905426442623138,
0.14354091882705688,
-0.09171497821807861,
-0.03733183443546295,
-0.25922462344169617,
-0.3049333691596985,
-0.1383424550294876,
0.13726076483726501,
-0.2919713854789734,
0.09674257040023804,
0.00660020811483264,
0.1337219476699829,
0.4191931188106537,
0.029712989926338196,
0.277936726808548,
-0.33394208550453186,
-0.006887573748826981,
-0.3844675123691559,
-0.25012120604515076,
-0.06227720156311989,
0.046573709696531296,
0.09622674435377121,
0.17797420918941498,
0.020027566701173782,
0.18667908012866974,
0.049494922161102295,
0.39270541071891785,
0.03392958268523216,
-0.2314748913049698,
-0.042331065982580185,
0.5437834858894348,
-0.3518790602684021,
-0.2071860283613205,
-0.07825611531734467,
-0.0048724813386797905,
0.03916778787970543,
-0.13390249013900757,
-0.05519828200340271,
-0.30653682351112366,
0.32572460174560547,
-0.33518847823143005,
-0.05862820893526077,
-0.07195737957954407,
0.34767183661460876,
0.15555158257484436,
-0.006517232861369848,
-0.33956560492515564,
0.16316482424736023,
0.14248700439929962,
0.16235244274139404,
-0.03403221815824509,
0.39861759543418884,
-0.14811287820339203,
-0.012055295519530773,
-0.21766582131385803,
-0.168108731508255,
-0.06432762742042542,
-0.08481419086456299,
0.13156428933143616,
-0.4343090057373047
] |
https://github.com/huggingface/datasets/issues/163 | [Feature request] Add cos-e v1.0 | @mariamabarham Just wanted to note that default behavior `cos_e = load_dataset("cos_e")` now loads `v1.0`. Not sure if this is intentional (but the flag specification does work as intended). | I noticed the second release of cos-e (v1.11) is included in this repo. I wanted to request inclusion of v1.0, since this is the version on which results are reported on in [the paper](https://www.aclweb.org/anthology/P19-1487/), and v1.11 has noted [annotation](https://github.com/salesforce/cos-e/issues/2) [issues](https://arxiv.org/pdf/2004.14546.pdf). | 28 | [Feature request] Add cos-e v1.0
I noticed the second release of cos-e (v1.11) is included in this repo. I wanted to request inclusion of v1.0, since this is the version on which results are reported on in [the paper](https://www.aclweb.org/anthology/P19-1487/), and v1.11 has noted [annotation](https://github.com/salesforce/cos-e/issues/2) [issues](https://arxiv.org/pdf/2004.14546.pdf).
@mariamabarham Just wanted to note that default behavior `cos_e = load_dataset("cos_e")` now loads `v1.0`. Not sure if this is intentional (but the flag specification does work as intended). | [
-0.2263442426919937,
-0.2859196066856384,
-0.11841704696416855,
-0.49191954731941223,
-0.45303866267204285,
-0.25085997581481934,
0.2163064181804657,
0.22147080302238464,
-0.03563763201236725,
0.3164638578891754,
0.07013238221406937,
0.4571443498134613,
0.03245658800005913,
0.35331857204437256,
-0.16244779527187347,
0.4214378297328949,
0.11718586832284927,
0.2206687182188034,
-0.03011218272149563,
-0.2556172013282776,
-0.2271457016468048,
0.1309097409248352,
-0.16859953105449677,
-0.12527354061603546,
0.16298657655715942,
0.28877493739128113,
-0.25442370772361755,
-0.09574659913778305,
-0.04146132990717888,
-0.18337279558181763,
0.402875691652298,
0.34786275029182434,
0.17024455964565277,
0.064628466963768,
-0.00011004394036717713,
-0.13638851046562195,
0.45679572224617004,
-0.06395550072193146,
-0.27537062764167786,
-0.15361222624778748,
-0.3556925356388092,
-0.3650524318218231,
0.07075220346450806,
-0.07159361988306046,
0.21727699041366577,
0.1627269983291626,
0.14945967495441437,
-0.031101441010832787,
0.04020896553993225,
0.16627268493175507,
0.2691469192504883,
0.2860795557498932,
-0.0316774845123291,
-0.3328508138656616,
0.21256165206432343,
0.47362658381462097,
-0.3600449562072754,
-0.0748889297246933,
0.043695494532585144,
-0.097093366086483,
-0.1418289691209793,
0.3820017874240875,
0.2254558503627777,
-0.17204174399375916,
-0.26014792919158936,
-0.030674099922180176,
0.2146509438753128,
0.13055475056171417,
0.26056668162345886,
0.056903060525655746,
0.3529522120952606,
0.13864944875240326,
-0.26492413878440857,
0.25002145767211914,
-0.05883856490254402,
-0.42920050024986267,
0.22503916919231415,
-0.16231626272201538,
0.021105149760842323,
0.004745615646243095,
0.354120135307312,
-0.18666183948516846,
-0.5334498286247253,
0.1561819165945053,
-0.2166714072227478,
0.17142988741397858,
-0.21249546110630035,
-0.14087404310703278,
0.09422025084495544,
0.10761158168315887,
-0.0929834172129631,
0.11195201426744461,
-0.20708131790161133,
0.1804274022579193,
-0.3474440574645996,
-0.10264940559864044,
0.3085196614265442,
-0.06392929702997208,
0.42677024006843567,
0.15892153978347778,
0.1950724571943283,
0.1905687004327774,
-0.015698445960879326,
0.15070229768753052,
0.011564020998775959,
0.368662565946579,
0.5664445757865906,
0.06401573121547699,
0.40305113792419434,
0.14254805445671082,
0.40475764870643616,
0.016548268496990204,
0.0781296044588089,
0.021182309836149216,
-0.002248266479000449,
-0.1615668088197708,
0.11037484556436539,
-0.5184798836708069,
-0.18017295002937317,
-0.03196050599217415,
-0.10153331607580185,
0.09271857142448425,
0.0045884898863732815,
0.2791188657283783,
0.2888183891773224,
0.1953786015510559,
0.32147732377052307,
-0.022119669243693352,
0.0167545136064291,
-0.28218910098075867,
-0.2884853184223175,
-0.08126652985811234,
-0.2485475093126297,
0.20286834239959717,
0.199064239859581,
-0.3987301290035248,
0.20908896625041962,
-0.3644558787345886,
0.4094012379646301,
-0.06413277983665466,
-0.22893200814723969,
0.3046184480190277,
-0.035715263336896896,
0.2634488642215729,
0.03881171718239784,
-0.017300302162766457,
-0.09945616126060486,
0.3986673951148987,
-0.16598151624202728,
0.11357633024454117,
-0.2175620049238205,
-0.48887625336647034,
-0.2699544429779053,
0.26509180665016174,
-0.18048830330371857,
-0.252689927816391,
-0.24294327199459076,
0.4173630475997925,
-0.2470453530550003,
-0.007607806008309126,
0.013684500008821487,
0.14105455577373505,
-0.3214110732078552,
-0.20329055190086365,
-0.08240289986133575,
0.19734472036361694,
-0.04360007867217064,
-0.08860594034194946,
-0.6579606533050537,
-0.09929870069026947,
0.015475055202841759,
-0.1841048151254654,
-0.018392963334918022,
-0.3088859021663666,
-0.24293731153011322,
-0.0975847989320755,
0.4091990888118744,
-0.5409092307090759,
-0.08889524638652802,
0.3007032573223114,
-0.05289744958281517,
-0.21085987985134125,
0.19971732795238495,
-0.3001004755496979,
-0.15993109345436096,
-0.2848050594329834,
-0.31128448247909546,
0.05204416438937187,
-0.03445454686880112,
-0.051054853945970535,
-0.07111449539661407,
-0.34644144773483276,
-0.3489781320095062,
0.25857147574424744,
0.3637622892856598,
0.03293349966406822,
0.35678935050964355,
-0.41883406043052673,
0.15049850940704346,
-0.05560559034347534,
0.13320381939411163,
-0.02552761882543564,
0.6704113483428955,
0.10371121764183044,
0.19556772708892822,
0.1381073147058487,
-0.3721388280391693,
0.09697646647691727,
0.18270868062973022,
0.15224707126617432,
0.20965860784053802,
-0.36246711015701294,
-0.15044757723808289,
0.14429223537445068,
-0.006205368787050247,
-0.19019679725170135,
0.18903659284114838,
0.16745969653129578,
-0.06673926115036011,
-0.03944779559969902,
-0.04032135382294655,
0.4120464026927948,
-0.33331143856048584,
-0.08935010433197021,
0.16916735470294952,
0.06708600372076035,
-0.05908951535820961,
-0.007216553203761578,
-0.052230916917324066,
0.09110058844089508,
-0.0032766906078904867,
0.008714437484741211,
-0.1518043428659439,
0.3978514075279236,
-0.01469998899847269,
0.13733519613742828,
0.07569342106580734,
0.20276600122451782,
0.12991948425769806,
-0.11296900361776352,
0.015641065314412117,
0.031187446787953377,
-0.060542721301317215,
0.1088653951883316,
-0.21376988291740417,
0.36783504486083984,
-0.04400163143873215,
0.0786852017045021,
-0.0030530672520399094,
-0.08954416215419769,
0.026837438344955444,
-0.07286764681339264,
-0.5226483941078186,
-0.2180047631263733,
0.24215637147426605,
0.10695768147706985,
-0.4233148992061615,
-0.23976370692253113,
-0.22046203911304474,
-0.08050587028265,
0.1762453019618988,
-0.10011542588472366,
0.15004470944404602,
0.3162190020084381,
0.10816868394613266,
-0.19115209579467773,
0.27675700187683105,
-0.16653181612491608,
0.40634238719940186,
0.31514108180999756,
-0.10612604022026062,
-0.04802083969116211,
-0.3054264187812805,
-0.05322883278131485,
0.13648025691509247,
0.21421436965465546,
0.12367841601371765,
0.12573565542697906,
0.4169747829437256,
-0.1495237797498703,
-0.5176547169685364,
-0.41359439492225647,
-0.06272361427545547,
-0.16659320890903473,
-0.19666247069835663,
-0.1665612906217575,
-0.06399542093276978,
0.09422177076339722,
-0.10740800201892853,
0.03863605484366417,
0.08334194123744965,
-0.23620034754276276,
0.2636570930480957,
0.22466303408145905,
-0.06135547161102295,
0.23576168715953827,
0.02540084719657898,
0.6541305184364319,
-0.02252563089132309,
0.13648205995559692,
-0.15872788429260254,
0.06659913808107376,
-0.4203680157661438,
0.19410860538482666,
-0.5060153007507324,
-0.22600552439689636,
0.4339205324649811,
-0.007591599132865667,
0.30970650911331177,
-0.06009937450289726,
-0.6933542490005493,
0.07365821301937103,
-0.19269125163555145,
-0.13785633444786072,
0.06659673154354095,
-0.28835171461105347,
-0.11153620481491089,
0.0407223105430603,
0.08749260008335114,
-0.39442071318626404,
-0.3563586473464966,
-0.08152005821466446,
-0.2302687168121338,
0.27909955382347107,
-0.34588760137557983,
-0.4851733148097992,
0.23486745357513428,
-0.33899667859077454,
-0.11091086268424988,
-0.0839218869805336,
0.1287860870361328,
0.5446903109550476,
0.13814029097557068,
0.08742589503526688,
0.12513798475265503,
-0.014643293805420399,
-0.4106576144695282,
0.23893611133098602,
0.3401024341583252,
-0.3349623680114746,
-0.4000644087791443,
0.10895130783319473,
0.09359079599380493,
0.15444882214069366,
0.2097408026456833,
-0.18663319945335388,
-0.5588257312774658,
0.18018390238285065,
0.15571722388267517,
-0.20453016459941864,
0.1585506945848465,
0.3840799033641815,
-0.019267883151769638,
-0.1956893652677536,
-0.18685121834278107,
-0.3143158555030823,
0.22574381530284882,
0.30816155672073364,
0.12987008690834045,
-0.16425515711307526,
0.26787930727005005,
0.1611645221710205,
0.14897847175598145,
0.0820319801568985,
0.01911984756588936,
0.050538770854473114,
0.11084679514169693,
0.3510951101779938,
-0.025693004950881004,
0.05527964606881142,
0.13333190977573395,
0.08192222565412521,
0.20691217482089996,
0.46736425161361694,
0.1389230191707611,
-0.23098979890346527,
-0.2874266505241394,
-0.25231650471687317,
0.16300874948501587,
0.0316605269908905,
-0.16662411391735077,
0.18828554451465607,
0.43356022238731384,
-0.129059299826622,
-0.09658744931221008,
-0.3269830644130707,
0.032860733568668365,
0.06107472628355026,
0.4213995635509491,
0.09682717174291611,
-0.17435413599014282,
-0.0047747306525707245,
0.14035294950008392,
-0.3281846344470978,
0.3598349988460541,
0.1082928329706192,
0.05134522542357445,
-0.0035431666765362024,
-0.20926575362682343,
0.2115895003080368,
-0.029143327847123146,
0.43104201555252075,
-0.18089962005615234,
0.01370184775441885,
-0.11118075251579285,
-0.07789857685565948,
-0.09302577376365662,
-0.16937553882598877,
-0.11786756664514542,
-0.3060424029827118,
-0.03530928120017052,
-0.035561300814151764,
-0.05281471461057663,
-0.029260344803333282,
0.5762627124786377,
-0.2663777470588684,
0.07449111342430115,
-0.2874296009540558,
-0.20819991827011108,
-0.42952269315719604,
-0.10088349878787994,
0.004545544274151325,
-0.059622831642627716,
-0.09537112712860107,
-0.22082702815532684,
-0.1356155127286911,
0.26978790760040283,
-0.2274513989686966,
-0.1419636309146881,
0.1268462985754013,
-0.25425612926483154,
-0.0007775581325404346,
-0.033055003732442856,
0.10001509636640549,
-0.11615092307329178,
0.3154969811439514,
0.016632255166769028,
0.2869824171066284,
-0.37325596809387207,
0.10811769962310791,
-0.1803288608789444,
0.2171071171760559,
0.271982878446579,
0.001341125345788896,
0.145433247089386,
-0.4411625564098358,
-0.23803608119487762,
-0.013947062194347382,
-0.08445091545581818,
0.21031050384044647,
-0.004942504223436117,
-0.20481297373771667,
-0.04624088108539581,
0.39969974756240845,
0.05420319736003876,
-0.2666935324668884,
0.27243226766586304,
0.14732725918293,
-0.2883753776550293,
0.4483867883682251,
0.011259361170232296,
0.6613928079605103,
0.2898103594779968,
-0.21789176762104034,
0.29653051495552063,
-0.21648292243480682,
0.567108690738678,
-0.18582585453987122,
0.13965533673763275,
0.09834523499011993,
-0.1416414976119995,
0.0241186935454607,
0.26291337609291077,
0.3644726574420929,
-0.04198592156171799,
-0.32919666171073914,
0.2483590692281723,
0.21675215661525726,
0.3008890748023987,
0.2127337008714676,
0.1163179874420166,
0.08536642044782639,
-0.30704644322395325,
0.001339540584012866,
0.18750150501728058,
0.08409218490123749,
0.2702901065349579,
-0.04117576405405998,
0.09877122193574905,
0.02850968949496746,
-0.37169915437698364,
-0.22798755764961243,
0.031631652265787125,
0.4609616696834564,
0.11891832947731018,
0.012707752175629139,
0.0654437392950058,
0.23905444145202637,
-0.3236115276813507,
0.2711406648159027,
0.10313165187835693,
-0.08830945938825607,
0.29943227767944336,
0.31932541728019714,
0.010496728122234344,
-0.17676013708114624,
-0.15102766454219818,
0.024321960285305977,
-0.15881282091140747,
-0.20199954509735107,
0.2272275686264038,
0.17419680953025818,
-0.23866282403469086,
-0.20172835886478424,
0.033908989280462265,
-0.05447155609726906,
0.1423088163137436,
0.5334233641624451,
0.43454304337501526,
0.10620912164449692,
-0.17012625932693481,
0.2046644687652588,
0.12692950665950775,
-0.11475098878145218,
0.0031190156005322933,
0.1529107391834259,
-0.19069130718708038,
-0.18325175344944,
0.5322158336639404,
0.279170960187912,
-0.13204467296600342,
-0.0629272535443306,
-0.1157122403383255,
0.016295485198497772,
-0.2150593250989914,
-0.18904046714305878,
0.14092497527599335,
-0.39371028542518616,
-0.12774847447872162,
0.16813963651657104,
-0.28275325894355774,
0.24938450753688812,
0.8095267415046692,
0.07201117277145386,
0.20189467072486877,
-0.22826364636421204,
-0.1281670480966568,
-0.0254081841558218,
-0.07955536991357803,
-0.4771961569786072,
0.18120896816253662,
-0.02050521969795227,
-0.05071505159139633,
-0.08789864927530289,
-0.012812324799597263,
-0.39563411474227905,
-0.24205568432807922,
0.19528833031654358,
-0.09695474058389664,
0.40214791893959045,
0.21221564710140228,
0.4604627788066864,
0.18588727712631226,
0.21235574781894684,
0.015105808153748512,
-0.2088432013988495,
-0.1787458062171936,
-0.01365662645548582,
0.10726433247327805,
0.08703876286745071,
0.2987448573112488,
-0.19903330504894257,
-0.18296313285827637,
-0.2923521399497986,
0.02228664420545101,
0.33509352803230286,
0.10991968959569931,
-0.19674529135227203,
0.08827067166566849,
-0.45101508498191833,
0.010249475948512554,
0.34226444363594055,
0.1872560828924179,
0.17638732492923737,
0.09170470386743546,
-0.06608226150274277,
0.3762289583683014,
-0.1261286735534668,
-0.026595599949359894,
0.12284691631793976,
0.34496548771858215,
-0.2599087059497833,
0.1292828619480133,
0.008576865307986736,
0.08216625452041626,
-0.19888195395469666,
-0.1735459417104721,
0.016401223838329315,
-0.30185824632644653,
0.006896988023072481,
-0.056638166308403015,
-0.1672634482383728,
0.303483784198761,
-0.23948150873184204,
0.06966451555490494,
-0.2762705981731415,
-0.16598942875862122,
0.2079402506351471,
0.2772286534309387,
0.25617900490760803,
-0.09345296025276184,
0.7590206861495972,
0.1068866029381752,
0.141437366604805,
-0.0747293010354042,
0.22079692780971527,
0.1693819910287857,
0.04263382405042648,
0.16868571937084198,
0.27581408619880676,
-0.0878944844007492,
0.36049672961235046,
-0.07754961401224136,
0.3008498251438141,
0.03680356964468956,
0.2739909291267395,
0.5524520874023438,
0.05506005138158798,
-0.31329652667045593,
0.10778699070215225,
0.4623662233352661,
0.05116426572203636,
0.058433838188648224,
0.18636412918567657,
-0.22566922008991241,
-0.020918238908052444,
0.1821376234292984,
-0.7633122205734253,
-0.17677178978919983,
0.08755525946617126,
-0.27711573243141174,
-0.1974257230758667,
-0.10568856447935104,
-0.47328004240989685,
-0.006775857415050268,
0.2994881570339203,
0.050781723111867905,
-0.016120750457048416,
-0.20815548300743103,
0.008193980902433395,
-0.060377661138772964,
-0.277809739112854,
0.07377641648054123,
0.2569640576839447,
0.006414429750293493,
0.20321451127529144,
-0.4178890585899353,
-0.13610689342021942,
0.3770045340061188,
0.13934075832366943,
0.13725177943706512,
-0.08849287033081055,
0.5053772926330566,
0.11966467648744583,
0.102590411901474,
-0.09160086512565613,
-0.009294171817600727,
0.18863524496555328,
0.12328115850687027,
0.1045762225985527,
0.18037132918834686,
0.19206154346466064,
-0.18656638264656067,
0.15649458765983582,
-0.035235386341810226,
-0.24298490583896637,
-0.24431394040584564,
0.18434250354766846,
0.10635688155889511,
0.15036258101463318,
-0.08765789866447449,
0.22046828269958496,
0.032328732311725616,
-0.3462279736995697,
-0.062112320214509964,
0.020574338734149933,
-0.12764078378677368,
-0.14604635536670685,
0.11986365169286728,
-0.0651048943400383,
-0.12488248944282532,
0.16994702816009521,
-0.11498861014842987,
0.0625869557261467,
-0.37307971715927124,
-0.004312611650675535,
0.3659427762031555,
0.1877307891845703,
0.07066179066896439,
0.05478473752737045,
0.14213654398918152,
0.14274713397026062,
-0.25380030274391174,
0.12222804874181747,
-0.4326278269290924,
0.5907481908798218,
-0.08773498237133026,
-0.18280228972434998,
0.14077673852443695,
0.4150138199329376,
-0.11227644234895706,
-0.1277846395969391,
-0.2960698902606964,
-0.21165800094604492,
0.06730302423238754,
0.10888557881116867,
-0.33292466402053833,
-0.12729646265506744,
0.1839389204978943,
0.03788955509662628,
0.44412922859191895,
0.04809069260954857,
0.21306054294109344,
-0.12853895127773285,
-0.07115848362445831,
-0.5014454126358032,
-0.13466595113277435,
-0.02391618676483631,
0.09259212017059326,
-0.13384434580802917,
-0.029839111492037773,
0.043161265552043915,
0.11951347440481186,
0.02203463762998581,
0.34258833527565,
0.0461307093501091,
-0.09075728058815002,
-0.09505613148212433,
0.4244762659072876,
-0.5147940516471863,
-0.3080167770385742,
-0.10602758079767227,
-0.1027715876698494,
0.06682370603084564,
-0.12948089838027954,
-0.04089593514800072,
-0.24251917004585266,
0.34958985447883606,
-0.22609254717826843,
-0.08503848314285278,
-0.08611113578081131,
0.4343441128730774,
0.20387002825737,
0.08677276968955994,
-0.22049041092395782,
0.09851120412349701,
0.22752772271633148,
0.19771848618984222,
-0.27606460452079773,
0.1508464813232422,
-0.0448225662112236,
0.01777232438325882,
-0.2207440733909607,
0.023583484813570976,
-0.17097090184688568,
0.015042563900351524,
0.15334360301494598,
-0.3238043189048767
] |
https://github.com/huggingface/datasets/issues/163 | [Feature request] Add cos-e v1.0 | > @mariamabarham Just wanted to note that default behavior `cos_e = load_dataset("cos_e")` now loads `v1.0`. Not sure if this is intentional (but the flag specification does work as intended).
In the new version of `nlp`, if you try `cos_e = load_dataset("cos_e")` it throws this error:
```
ValueError: Config name is missing.
Please pick one among the available configs: ['v1.0', 'v1.11']
Example of usage:
`load_dataset('cos_e', 'v1.0')`
```
For datasets with at least two configurations, we now force the user to pick one (no default) | I noticed the second release of cos-e (v1.11) is included in this repo. I wanted to request inclusion of v1.0, since this is the version on which results are reported on in [the paper](https://www.aclweb.org/anthology/P19-1487/), and v1.11 has noted [annotation](https://github.com/salesforce/cos-e/issues/2) [issues](https://arxiv.org/pdf/2004.14546.pdf). | 83 | [Feature request] Add cos-e v1.0
I noticed the second release of cos-e (v1.11) is included in this repo. I wanted to request inclusion of v1.0, since this is the version on which results are reported on in [the paper](https://www.aclweb.org/anthology/P19-1487/), and v1.11 has noted [annotation](https://github.com/salesforce/cos-e/issues/2) [issues](https://arxiv.org/pdf/2004.14546.pdf).
> @mariamabarham Just wanted to note that default behavior `cos_e = load_dataset("cos_e")` now loads `v1.0`. Not sure if this is intentional (but the flag specification does work as intended).
In the new version of `nlp`, if you try `cos_e = load_dataset("cos_e")` it throws this error:
```
ValueError: Config name is missing.
Please pick one among the available configs: ['v1.0', 'v1.11']
Example of usage:
`load_dataset('cos_e', 'v1.0')`
```
For datasets with at least two configurations, we now force the user to pick one (no default) | [
-0.1603744775056839,
-0.19055931270122528,
-0.04092991352081299,
-0.5251528024673462,
-0.5301491618156433,
-0.20913541316986084,
0.07917019724845886,
0.3027110993862152,
-0.08486749231815338,
0.2993150055408478,
0.0913366749882698,
0.5883418917655945,
-0.1273890733718872,
0.3007555603981018,
0.1448276937007904,
0.19229498505592346,
0.049381282180547714,
0.3573561906814575,
0.016091199591755867,
-0.1463334560394287,
-0.28475192189216614,
0.26689523458480835,
-0.15900380909442902,
0.022066157311201096,
0.17621365189552307,
0.18231673538684845,
-0.3217964470386505,
-0.02632436342537403,
-0.06103832647204399,
-0.2656818926334381,
0.4338547885417938,
0.2968844175338745,
0.24196332693099976,
-0.15443074703216553,
-0.00011306983651593328,
-0.2487541288137436,
0.5088636875152588,
-0.06220341846346855,
-0.4297464191913605,
-0.30758795142173767,
-0.3339642286300659,
-0.5184953212738037,
0.16902555525302887,
-0.09877857565879822,
0.18584366142749786,
0.15064726769924164,
0.36876365542411804,
-0.03254261985421181,
-0.0012717362260445952,
0.10816007852554321,
0.22739481925964355,
0.2823913097381592,
-0.08409370481967926,
-0.2982403039932251,
0.11302653700113297,
0.3750303387641907,
-0.30863261222839355,
-0.1634404957294464,
-0.04228060692548752,
-0.2713530957698822,
-0.05244768410921097,
0.3673298954963684,
0.2016817331314087,
-0.22526875138282776,
-0.19585596024990082,
-0.04784739390015602,
0.14524711668491364,
0.04428587108850479,
0.078597292304039,
0.09422317892313004,
0.3499737083911896,
0.04661160707473755,
-0.2632308602333069,
0.04236535355448723,
0.07684063166379929,
-0.5963776111602783,
0.28150567412376404,
-0.06955378502607346,
-0.17123281955718994,
-0.0754082128405571,
0.2659721374511719,
-0.2741566598415375,
-0.42526867985725403,
0.3804301917552948,
-0.060804009437561035,
0.2607443928718567,
-0.066587433218956,
-0.06787726283073425,
0.23503431677818298,
0.08089528232812881,
-0.10468441247940063,
0.02762945368885994,
-0.14414776861667633,
0.2545185983181,
-0.41611698269844055,
-0.14212243258953094,
0.4012798070907593,
0.04142022877931595,
0.2769635021686554,
0.14983630180358887,
0.2790862023830414,
0.012851260602474213,
-0.05144159123301506,
0.1853979527950287,
0.08551666140556335,
0.31466537714004517,
0.6022409796714783,
0.028706977143883705,
0.2610609531402588,
0.09194550663232803,
0.5128617882728577,
0.1002449169754982,
0.07537537068128586,
0.0205945186316967,
-0.16389109194278717,
-0.12788325548171997,
0.11135794967412949,
-0.3812931180000305,
-0.12265650182962418,
-0.09454710781574249,
-0.09384182095527649,
0.06300147622823715,
0.02480914629995823,
0.19082999229431152,
0.2591685950756073,
0.2565685510635376,
0.34428519010543823,
-0.07276105135679245,
-0.13242383301258087,
-0.38469743728637695,
-0.2491019070148468,
-0.05333331599831581,
-0.39312615990638733,
0.2702557146549225,
0.3587176501750946,
-0.23135268688201904,
0.2805840075016022,
-0.40262845158576965,
0.1932351291179657,
0.01676781289279461,
-0.2188313752412796,
0.31003543734550476,
-0.16564689576625824,
0.07988977432250977,
0.0468822680413723,
0.01372320856899023,
-0.30024266242980957,
0.2614302635192871,
-0.255144864320755,
0.09527262300252914,
-0.2514297068119049,
-0.5217928290367126,
-0.2898743152618408,
0.21310198307037354,
-0.2102159708738327,
-0.3397212028503418,
-0.16480180621147156,
0.4888763427734375,
-0.2243463695049286,
-0.2618389427661896,
-0.019775765016674995,
0.07405783236026764,
-0.37112289667129517,
-0.1326874941587448,
-0.08441752940416336,
0.1536419838666916,
0.032274965196847916,
-0.23951125144958496,
-0.658933162689209,
0.023701617494225502,
0.0504046268761158,
-0.10603703558444977,
-0.10561566799879074,
-0.26578083634376526,
-0.14965063333511353,
-0.059897083789110184,
0.7229757905006409,
-0.4373762607574463,
-0.11549936234951019,
0.2689365744590759,
-0.06760742515325546,
-0.20526228845119476,
0.10484437644481659,
-0.13712194561958313,
-0.23001356422901154,
-0.15859846770763397,
-0.17310063540935516,
0.2563081979751587,
-0.05131072923541069,
-0.10487085580825806,
-0.08494441956281662,
-0.3723750412464142,
-0.08402244746685028,
0.2475237250328064,
0.2598857283592224,
0.01023722905665636,
0.265401691198349,
-0.17162573337554932,
0.20318888127803802,
-0.06941133737564087,
0.14847150444984436,
0.038213811814785004,
0.44097602367401123,
0.042967651039361954,
0.09988891333341599,
0.10250699520111084,
-0.5050921440124512,
0.07856296747922897,
-0.04806382209062576,
0.2747199833393097,
0.323030561208725,
-0.2149769812822342,
-0.04981633275747299,
-0.05138079449534416,
0.06278447806835175,
-0.2429581582546234,
0.12956197559833527,
0.29166939854621887,
-0.0453818254172802,
-0.02740437723696232,
-0.0881027951836586,
0.47716766595840454,
-0.21469978988170624,
-0.1701604723930359,
-0.22500786185264587,
0.07947064191102982,
-0.13179494440555573,
-0.03842928260564804,
0.00116040650755167,
0.30664336681365967,
-0.005750616546720266,
0.03146074712276459,
-0.08589591830968857,
0.34104013442993164,
-0.17072239518165588,
0.2327122688293457,
0.002011618809774518,
0.051782362163066864,
0.1553289294242859,
-0.1710367053747177,
0.07149919122457504,
-0.03874818980693817,
-0.05914714187383652,
0.17416724562644958,
-0.2358752191066742,
0.4087848663330078,
0.05555146560072899,
-0.004942735191434622,
0.015664739534258842,
-0.02518545836210251,
0.024581462144851685,
-0.21304510533809662,
-0.5066871643066406,
-0.16084495186805725,
0.3907119035720825,
0.09037655591964722,
-0.41927701234817505,
-0.21827338635921478,
-0.4219493567943573,
-0.053911201655864716,
0.2659190893173218,
0.010921623557806015,
0.06860537827014923,
0.346120685338974,
0.19898231327533722,
-0.2583043575286865,
0.2876759171485901,
-0.033756546676158905,
0.5213518738746643,
0.35590964555740356,
-0.14374160766601562,
0.05537904053926468,
-0.49707189202308655,
-0.03433484956622124,
0.19374403357505798,
0.2227170765399933,
0.1649829000234604,
0.03451317176222801,
0.4799373745918274,
0.0247183870524168,
-0.4151759445667267,
-0.4975750148296356,
0.030082112178206444,
-0.0667785033583641,
-0.17099332809448242,
-0.0767858475446701,
-0.23566094040870667,
-0.24855449795722961,
-0.13437774777412415,
0.15273745357990265,
-0.006642815191298723,
-0.28227078914642334,
0.2530551254749298,
0.22281822562217712,
-0.09684938192367554,
0.2704640328884125,
-0.08819800615310669,
0.716515839099884,
-0.1732388138771057,
0.1325022578239441,
-0.2111666351556778,
-0.019733861088752747,
-0.4386223554611206,
0.14359359443187714,
-0.3673209249973297,
-0.12818725407123566,
0.43063703179359436,
0.03370577096939087,
0.24169102311134338,
0.10172466188669205,
-0.656621515750885,
0.07370705902576447,
-0.16741971671581268,
-0.08497527241706848,
0.07531516999006271,
-0.38130757212638855,
-0.1796533614397049,
-0.09716538339853287,
0.09173255413770676,
-0.34687861800193787,
-0.3567782938480377,
-0.06084062159061432,
-0.17782935500144958,
0.19364352524280548,
-0.38614892959594727,
-0.5043296813964844,
-0.0028923486825078726,
-0.3854028880596161,
-0.060332465916872025,
-0.0328722707927227,
0.26456305384635925,
0.7287464737892151,
-0.029272636398673058,
0.060911331325769424,
-0.018814528360962868,
0.05397898703813553,
-0.3222590982913971,
0.41111958026885986,
0.24176225066184998,
-0.36633065342903137,
-0.3256417214870453,
-0.09408179670572281,
-0.00901124719530344,
0.2759550213813782,
0.13772433996200562,
-0.20071959495544434,
-0.37605220079421997,
0.1728869378566742,
0.09563282877206802,
-0.18955008685588837,
0.1695757359266281,
0.4947325587272644,
0.035685159265995026,
-0.14348995685577393,
-0.11991380155086517,
-0.39781200885772705,
0.22548779845237732,
0.5513760447502136,
0.3134692907333374,
-0.09973803907632828,
0.23797841370105743,
0.12890534102916718,
0.05465374514460564,
0.18605907261371613,
-0.03154803812503815,
0.213314026594162,
0.0751069188117981,
0.302755743265152,
-0.06819268316030502,
-0.04883895814418793,
0.1862047165632248,
0.11914422363042831,
0.3289925456047058,
0.4975138008594513,
0.10180965811014175,
-0.4926542043685913,
-0.3609602153301239,
-0.2420576959848404,
0.12460731714963913,
0.0034180390648543835,
-0.06890585273504257,
0.060732219368219376,
0.4087851941585541,
0.026040149852633476,
-0.2615889310836792,
-0.413523405790329,
-0.17632927000522614,
-0.10904993116855621,
0.4381890296936035,
0.03299254551529884,
0.0128650376573205,
-0.08266282081604004,
0.026466401293873787,
-0.4243900179862976,
0.2321767359972,
0.06501653790473938,
0.2848561406135559,
-0.054201483726501465,
-0.13267475366592407,
0.11208350211381912,
0.08530955016613007,
0.26006919145584106,
-0.23703275620937347,
-0.12139759957790375,
-0.011055175215005875,
0.12417043000459671,
-0.19625386595726013,
-0.06323307752609253,
-0.16072867810726166,
-0.17356668412685394,
0.07299986481666565,
0.01652752421796322,
0.012415716424584389,
-0.18408197164535522,
0.5894098877906799,
-0.19198822975158691,
0.027728402987122536,
-0.33776766061782837,
-0.15445470809936523,
-0.2920677959918976,
-0.09544720500707626,
-0.08875241875648499,
-0.18691982328891754,
0.14225344359874725,
-0.20191358029842377,
-0.0053324648179113865,
0.22868692874908447,
-0.09486288577318192,
-0.005436966195702553,
0.22884564101696014,
-0.24832862615585327,
0.13451334834098816,
-0.09508802741765976,
0.017488475888967514,
0.09789527207612991,
0.03977128490805626,
-0.04592747613787651,
0.23973777890205383,
-0.0904294028878212,
0.18363934755325317,
0.041714467108249664,
0.34280717372894287,
0.2911255657672882,
0.0761275365948677,
0.15024402737617493,
-0.38553085923194885,
-0.25055670738220215,
-0.04244711995124817,
-0.08079559355974197,
0.24254734814167023,
-0.0665716826915741,
-0.3306765854358673,
-0.09095665067434311,
0.49124675989151,
0.06609102338552475,
-0.33063361048698425,
0.3240831792354584,
0.0861424133181572,
-0.3378443121910095,
0.4092397689819336,
-0.1289200335741043,
0.7491977214813232,
0.3950461447238922,
0.037740807980298996,
0.32539916038513184,
-0.0398075170814991,
0.8740349411964417,
-0.03195828199386597,
0.2768111824989319,
0.0714413970708847,
0.052608881145715714,
0.03373265266418457,
0.24986253678798676,
0.37604930996894836,
-0.015048308297991753,
-0.3114893436431885,
0.3749997019767761,
0.5791009068489075,
0.0683802142739296,
0.1932913362979889,
0.3513813018798828,
0.14927445352077484,
-0.4552728235721588,
-0.16807572543621063,
0.12077060341835022,
-0.10806309431791306,
0.38529008626937866,
-0.014131552539765835,
-0.006578164175152779,
0.016940301284193993,
-0.3202202320098877,
-0.2105741649866104,
0.04029235243797302,
0.3929307162761688,
0.05890282616019249,
0.07368302345275879,
0.02825682796537876,
0.4237445890903473,
-0.23016357421875,
0.1826665997505188,
0.16094551980495453,
-0.20402799546718597,
0.16447234153747559,
0.1395418792963028,
-0.018578585237264633,
-0.07313785701990128,
-0.14397500455379486,
0.08395621180534363,
-0.17628887295722961,
-0.23792897164821625,
0.10621460527181625,
0.1955350786447525,
-0.2047397345304489,
-0.11868369579315186,
-0.007554013282060623,
-0.03843315690755844,
0.2452455461025238,
0.2921878695487976,
0.5004429221153259,
0.10781104117631912,
-0.2376679927110672,
0.17232942581176758,
0.09804871678352356,
-0.10802887380123138,
0.023980578407645226,
0.20026299357414246,
-0.15120668709278107,
-0.1128026619553566,
0.5301060676574707,
0.21330399811267853,
-0.18939733505249023,
0.10306354612112045,
-0.14518451690673828,
0.07328219711780548,
-0.19599482417106628,
-0.15487858653068542,
-0.032985713332891464,
-0.5144611597061157,
-0.1993071436882019,
0.18461062014102936,
-0.23774148523807526,
0.3092065751552582,
0.721386194229126,
0.016554540023207664,
0.2494659274816513,
-0.10885801911354065,
-0.18847353756427765,
-0.053461797535419464,
0.02773416042327881,
-0.5827197432518005,
0.16098639369010925,
0.13868652284145355,
0.05973074957728386,
-0.03966493904590607,
0.07866760343313217,
-0.36422857642173767,
-0.2929230332374573,
0.12223733961582184,
0.047586988657712936,
0.5287963151931763,
0.1722332239151001,
0.2284761518239975,
0.08470815420150757,
0.13575172424316406,
-0.10030117630958557,
-0.18807871639728546,
-0.15801309049129486,
-0.136435404419899,
0.1190502718091011,
0.1717752367258072,
0.17103160917758942,
-0.17962630093097687,
-0.19826237857341766,
-0.20716483891010284,
-0.024119030684232712,
0.1777469515800476,
-0.07091853767633438,
-0.1936512142419815,
0.33471935987472534,
-0.46812644600868225,
-0.045132558792829514,
0.38918665051460266,
0.3572051525115967,
0.16981032490730286,
0.04913078248500824,
-0.028829241171479225,
0.5353574156761169,
-0.03685251250863075,
-0.051141660660505295,
-0.08615097403526306,
0.24315856397151947,
-0.32708391547203064,
0.24757257103919983,
-0.09058984369039536,
-0.007488209754228592,
-0.221811443567276,
-0.22819671034812927,
-0.03033953160047531,
-0.30786868929862976,
0.03573698177933693,
-0.04483167827129364,
0.06395334750413895,
0.23791800439357758,
-0.3148876130580902,
0.05522339418530464,
-0.03594920039176941,
-0.029131878167390823,
0.18411999940872192,
0.21877309679985046,
0.32171350717544556,
-0.11545950174331665,
0.6415473222732544,
-0.04418754577636719,
0.014910978265106678,
-0.1816294938325882,
0.2836932837963104,
0.19050993025302887,
0.16893890500068665,
0.08880208432674408,
0.1863638162612915,
0.008465138264000416,
0.3330290913581848,
-0.06245894357562065,
0.22023755311965942,
-0.04858461022377014,
0.3439468443393707,
0.5547144412994385,
0.07117666304111481,
-0.3583298921585083,
-0.05430210009217262,
0.3893848955631256,
0.14579084515571594,
0.12391278892755508,
0.1341467946767807,
0.007062557619065046,
-0.07100199162960052,
0.18138766288757324,
-0.6420035362243652,
0.05338019132614136,
0.03196069598197937,
-0.3519986867904663,
-0.38255956768989563,
-0.09261003136634827,
-0.5104483962059021,
-0.06215190887451172,
0.14173391461372375,
-0.0074940952472388744,
0.032942626625299454,
-0.07868805527687073,
0.023907452821731567,
-0.20594535768032074,
-0.05458845943212509,
0.22706551849842072,
0.16826972365379333,
-0.02340839058160782,
0.3689230978488922,
-0.5310978293418884,
-0.2112865298986435,
0.19069553911685944,
0.24770773947238922,
0.20929516851902008,
-0.03900201618671417,
0.405857115983963,
0.11202484369277954,
0.1455620527267456,
-0.0707632526755333,
-0.05981991067528725,
0.1610332876443863,
0.35448962450027466,
0.04199765995144844,
0.261322557926178,
0.09808734804391861,
-0.09979250282049179,
0.14007237553596497,
0.043431371450424194,
-0.29908323287963867,
-0.21187923848628998,
0.3249712884426117,
0.17535436153411865,
0.18041366338729858,
-0.02330038696527481,
0.37575432658195496,
-0.13017255067825317,
-0.2383153885602951,
0.08112385123968124,
0.10263857990503311,
-0.10894843190908432,
-0.24176271259784698,
0.09944423288106918,
-0.07116492837667465,
0.007067068945616484,
0.18419744074344635,
-0.030556920915842056,
0.02113489806652069,
-0.41406717896461487,
-0.12865127623081207,
0.2505950331687927,
0.11373472213745117,
-0.12676385045051575,
0.09774120897054672,
0.15977394580841064,
0.04668646678328514,
-0.2836061418056488,
-0.12935735285282135,
-0.05016298219561577,
0.5626105666160583,
-0.019448792561888695,
-0.2112596482038498,
0.1510002166032791,
0.35848715901374817,
-0.02639128267765045,
-0.12816943228244781,
-0.1886707842350006,
-0.2875412702560425,
0.04389853775501251,
-0.00815906748175621,
-0.3241661489009857,
0.01152632012963295,
0.04369772970676422,
0.23319746553897858,
0.3404272198677063,
0.10100140422582626,
0.2775696814060211,
-0.15534451603889465,
-0.08501600474119186,
-0.5489777326583862,
-0.18481042981147766,
-0.0563795380294323,
0.0664726197719574,
-0.0956382229924202,
0.052344366908073425,
-0.034796543419361115,
0.34384262561798096,
-0.010121267288923264,
0.3170662820339203,
-0.020813705399632454,
-0.09819822013378143,
-0.03269500285387039,
0.40111249685287476,
-0.47487980127334595,
-0.15526598691940308,
-0.021512264385819435,
-0.01749444007873535,
0.03464525192975998,
-0.06058569252490997,
-0.07859817147254944,
-0.23899789154529572,
0.3525125980377197,
-0.16081756353378296,
-0.04476721212267876,
-0.020303623750805855,
0.4243360757827759,
0.2557459771633148,
0.07693609595298767,
-0.25946545600891113,
-0.01638028770685196,
0.21026988327503204,
0.1324421614408493,
-0.1359894722700119,
0.2562757432460785,
-0.15202423930168152,
-0.025490229949355125,
-0.20269489288330078,
-0.10973001271486282,
-0.1159677729010582,
-0.15834107995033264,
0.11542078852653503,
-0.349846214056015
] |
https://github.com/huggingface/datasets/issues/161 | Discussion on version identifier & MockDataLoaderManager for test data | usually you can replace `download` in your dataset script with `download_and_prepare()` - could you share the code for your dataset here? :-) | Hi, I'm working on adding a dataset and ran into an error due to `download` not being defined on `MockDataLoaderManager`, but being defined in `nlp/utils/download_manager.py`. The readme step running this: `RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_dataset_localmydatasetname` triggers the error. If I can get something to work, I can include it in my data PR once I'm done. | 22 | Discussion on version identifier & MockDataLoaderManager for test data
Hi, I'm working on adding a dataset and ran into an error due to `download` not being defined on `MockDataLoaderManager`, but being defined in `nlp/utils/download_manager.py`. The readme step running this: `RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_dataset_localmydatasetname` triggers the error. If I can get something to work, I can include it in my data PR once I'm done.
usually you can replace `download` in your dataset script with `download_and_prepare()` - could you share the code for your dataset here? :-) | [
-0.29844045639038086,
0.2715887427330017,
-0.025401674211025238,
-0.17361287772655487,
0.11133858561515808,
-0.03249125927686691,
0.3496930003166199,
0.30469509959220886,
0.09639108926057816,
0.1327766478061676,
0.1502358764410019,
0.18139110505580902,
-0.29633527994155884,
0.05446058139204979,
0.16967663168907166,
0.0301237590610981,
-0.0018449394265189767,
0.23788054287433624,
-0.10852712392807007,
0.2644939422607422,
-0.15700730681419373,
0.025940915569663048,
-0.08346935361623764,
0.0347202830016613,
-0.007923226803541183,
0.14469146728515625,
-0.15397809445858002,
0.015508492477238178,
-0.373642235994339,
-0.9120109677314758,
0.4226640462875366,
0.08653821051120758,
0.18526966869831085,
0.4016505777835846,
-0.00012305592827033252,
-0.07805042713880539,
0.5848660469055176,
-0.0812644362449646,
-0.6614248752593994,
-0.24752673506736755,
0.17996811866760254,
-0.4401648938655853,
0.33093446493148804,
-0.030891045928001404,
0.056430570781230927,
-0.14283616840839386,
0.22567318379878998,
0.036393582820892334,
0.06255222856998444,
0.3939165472984314,
0.14157570898532867,
0.27843010425567627,
0.10396631062030792,
-0.22894836962223053,
-0.1139817088842392,
0.06613495200872421,
-0.13955572247505188,
0.5098291635513306,
0.33754780888557434,
0.08086355030536652,
-0.026145553216338158,
-0.11726588755846024,
0.0758390873670578,
0.4826371967792511,
0.17982535064220428,
-0.020105795934796333,
0.45073366165161133,
-0.026417598128318787,
-0.19099822640419006,
0.0009865248575806618,
0.8557761907577515,
-0.557236909866333,
-0.28589102625846863,
0.020644869655370712,
0.09727909415960312,
-0.1694418489933014,
0.21763037145137787,
-0.20579788088798523,
-0.32464438676834106,
0.01700473204255104,
-0.1948697566986084,
-0.337063729763031,
-0.09025173634290695,
0.3106403946876526,
-0.21952900290489197,
0.1833120882511139,
0.06803254783153534,
0.21227127313613892,
0.055997684597969055,
-0.09097342193126678,
0.23839010298252106,
-0.022679699584841728,
-0.006122444290667772,
0.2574823796749115,
-0.08425547182559967,
-0.24596400558948517,
-0.3158247768878937,
-0.20292505621910095,
0.15998384356498718,
0.05829789116978645,
-0.48271316289901733,
-0.18354415893554688,
0.04289029911160469,
0.2146054357290268,
0.11196036636829376,
0.317733496427536,
0.3439334034919739,
0.28459277749061584,
0.19506855309009552,
0.1744561791419983,
0.2424226999282837,
0.15372450649738312,
-0.07111586630344391,
-0.39698177576065063,
0.10665496438741684,
0.08801122009754181,
0.24009370803833008,
-0.2806534469127655,
-0.1707746982574463,
-0.2619645595550537,
-0.3381374478340149,
0.009782247245311737,
-0.07732278108596802,
0.2922811508178711,
-0.09014855325222015,
-0.23386314511299133,
0.04907820746302605,
0.44676926732063293,
-0.19828669726848602,
-0.15629234910011292,
-0.02728927507996559,
0.10530050098896027,
-0.21463638544082642,
0.049913376569747925,
0.3252113163471222,
0.014613310806453228,
0.4042742848396301,
-0.2409370094537735,
-0.15935105085372925,
-0.04674298316240311,
0.10865764319896698,
0.059232473373413086,
-0.2635217010974884,
0.30100664496421814,
-0.07218058407306671,
0.08340983092784882,
0.048662688583135605,
-0.27629339694976807,
-0.2149084508419037,
0.23098868131637573,
0.06791497021913528,
-0.4953612983226776,
-0.023342089727520943,
0.1133398488163948,
-0.5093958377838135,
-0.059858739376068115,
-0.06913214176893234,
-0.16433396935462952,
0.10568103939294815,
-0.3929360508918762,
-0.030814146623015404,
-0.4348370134830475,
-0.37226366996765137,
-0.11169154942035675,
-0.03351253271102905,
0.2969774603843689,
-0.33695119619369507,
-0.2700844705104828,
-0.44567787647247314,
-0.3823715150356293,
0.2131667584180832,
-0.25797051191329956,
-0.07269981503486633,
0.2081032544374466,
-0.41918906569480896,
-0.029213760048151016,
0.5602767467498779,
-0.5683712363243103,
-0.36130160093307495,
0.44704416394233704,
-0.4189874231815338,
-0.2590119540691376,
0.18650442361831665,
-0.0008603418827988207,
0.06650573760271072,
-0.3295423686504364,
-0.14305251836776733,
0.06461130827665329,
0.0423731729388237,
-0.13622736930847168,
-0.11024294793605804,
-0.2676571309566498,
0.19914446771144867,
0.26322752237319946,
-0.09678233414888382,
0.13125525414943695,
0.14763695001602173,
0.10275781154632568,
0.3266957402229309,
0.14259015023708344,
0.17181050777435303,
-0.08835884183645248,
0.23017220199108124,
-0.22566978633403778,
-0.14068517088890076,
-0.10932862758636475,
-0.6099810004234314,
0.2383185476064682,
-0.06623521447181702,
0.20779499411582947,
-0.14170926809310913,
0.023358389735221863,
-0.6258833408355713,
0.01586984470486641,
-0.059171222150325775,
-0.2286381870508194,
0.006851642858237028,
0.1909550577402115,
0.11202634871006012,
0.018214566633105278,
0.03710727021098137,
0.0626557469367981,
-0.21972577273845673,
0.17596451938152313,
0.010265305638313293,
-0.0012483586324378848,
-0.10338080674409866,
0.03828245773911476,
0.23613692820072174,
0.22019892930984497,
0.08650259673595428,
-0.31085482239723206,
-0.04248622804880142,
0.2862294614315033,
0.27485087513923645,
0.20396490395069122,
0.1929636001586914,
-0.07467367500066757,
0.13896974921226501,
0.15383584797382355,
0.1740688532590866,
0.21679866313934326,
0.08699431270360947,
-0.2102239429950714,
0.08055426180362701,
0.11069183796644211,
0.19249321520328522,
-0.02169324830174446,
-0.17491620779037476,
0.026054412126541138,
0.4049426317214966,
0.12913775444030762,
-0.026237325742840767,
-0.38228341937065125,
0.10046067088842392,
0.29537415504455566,
0.6366955637931824,
-0.047104936093091965,
0.366362601518631,
-0.10841751843690872,
-0.19691742956638336,
-0.34861817955970764,
0.008201361633837223,
0.16020745038986206,
-0.15804894268512726,
-0.09225594252347946,
-0.005740282125771046,
0.2688913345336914,
0.8805614113807678,
-0.026490002870559692,
0.1716458648443222,
0.14539185166358948,
-0.11143899708986282,
-0.20710675418376923,
0.18835251033306122,
0.07700680196285248,
0.04825577884912491,
0.14204147458076477,
-0.01417926698923111,
-0.3831111192703247,
-0.08877193927764893,
-0.053082533180713654,
0.45894336700439453,
0.484392374753952,
-0.3677523136138916,
-0.19629882276058197,
-0.24734264612197876,
-0.36711904406547546,
-0.41309091448783875,
-0.3259521722793579,
-0.152617409825325,
-0.3070310950279236,
-0.1207633689045906,
0.27662524580955505,
0.13867036998271942,
0.2270921915769577,
-0.2515861690044403,
0.18580736219882965,
-0.2386372834444046,
-0.3114602863788605,
0.09593988955020905,
-0.1713583767414093,
-0.3402532637119293,
0.030635185539722443,
0.2242271602153778,
0.03131996467709541,
0.4151515066623688,
-0.14686715602874756,
-0.21823152899742126,
-0.2512979805469513,
-0.2445472776889801,
0.12566052377223969,
0.08897516876459122,
0.5211690664291382,
0.459918349981308,
-0.027610044926404953,
0.4571678936481476,
0.11719503998756409,
0.034604236483573914,
-0.26613301038742065,
-0.4669434726238251,
-0.15766939520835876,
-0.019803231582045555,
0.0831543505191803,
-0.03829893842339516,
-0.47527745366096497,
-0.5595125555992126,
-0.0779832974076271,
0.01707637868821621,
0.10753872990608215,
0.02640489861369133,
0.044132035225629807,
-0.09966850280761719,
0.20519216358661652,
0.025716695934534073,
-0.11663968861103058,
-0.14416977763175964,
0.0730152353644371,
0.020061222836375237,
-0.17576852440834045,
-0.17963048815727234,
0.1131969690322876,
-0.06287679076194763,
0.08196181803941727,
-0.15483304858207703,
-0.41781681776046753,
-0.34866905212402344,
0.07465802133083344,
0.18385641276836395,
0.28053751587867737,
-0.2723369002342224,
0.28959473967552185,
0.24983246624469757,
0.14815491437911987,
-0.12449974566698074,
-0.3925286829471588,
0.15622250735759735,
0.019437246024608612,
0.25050458312034607,
0.1468769609928131,
0.482563853263855,
-0.19213831424713135,
0.7506566047668457,
0.11803735047578812,
-0.16310954093933105,
0.020595410838723183,
-0.2556125819683075,
0.041471920907497406,
-0.05395025759935379,
-0.12413839250802994,
0.3178110718727112,
-0.13975505530834198,
-0.24665527045726776,
0.19574576616287231,
-0.22311292588710785,
-0.05246172845363617,
-0.09552178531885147,
0.2213321030139923,
-0.06543803215026855,
-0.02543662302196026,
-0.05347732827067375,
-0.2093602567911148,
0.05761226639151573,
0.03788955882191658,
-0.07096198201179504,
-0.19440779089927673,
-0.2140195667743683,
0.0048631965182721615,
0.31353676319122314,
0.004929577000439167,
0.16027186810970306,
-0.30051475763320923,
0.01857459731400013,
-0.44620153307914734,
0.3039751946926117,
0.2712741792201996,
0.5984054207801819,
0.08295039087533951,
0.07675036042928696,
0.12854933738708496,
0.10277190059423447,
0.214049831032753,
-0.028820855543017387,
0.12243358045816422,
0.25168922543525696,
-0.13396185636520386,
-0.08915599435567856,
-0.24068473279476166,
-0.0658818855881691,
0.21251852810382843,
-0.029731804504990578,
0.09589340537786484,
-0.350087970495224,
-0.08926238119602203,
0.2652932107448578,
0.1409556269645691,
-0.08590056747198105,
-0.35511037707328796,
-0.12330726534128189,
-0.07265676558017731,
-0.15032172203063965,
-0.21273328363895416,
-0.17580446600914001,
0.10044043511152267,
-0.12927833199501038,
0.2820556163787842,
0.01495383121073246,
-0.09018884599208832,
-0.08661564439535141,
0.11567679792642593,
0.14000989496707916,
-0.1844521462917328,
0.3376259505748749,
0.1773081123828888,
0.04688049480319023,
0.4023391604423523,
0.31333476305007935,
-0.10161557048559189,
-0.2746429741382599,
0.02688930369913578,
-0.0069023058749735355,
0.3866168260574341,
0.12779398262500763,
0.11361671984195709,
0.04185861721634865,
-0.26975369453430176,
-0.14895153045654297,
-0.29846101999282837,
0.1984383761882782,
0.3825054168701172,
-0.09436485916376114,
-0.05138183757662773,
-0.3670406639575958,
0.6012393236160278,
0.2057899683713913,
-0.15702876448631287,
0.47727301716804504,
-0.25194334983825684,
-0.2803325355052948,
-0.0551794171333313,
0.07219060510396957,
0.8358832001686096,
0.1205170750617981,
0.16542430222034454,
0.37753617763519287,
-0.26247909665107727,
0.3626868426799774,
0.09037943929433823,
0.16148610413074493,
-0.5544981956481934,
-0.08480004966259003,
0.024787534028291702,
-0.23059777915477753,
0.24379819631576538,
-0.10523279756307602,
-0.23620693385601044,
0.37085577845573425,
0.04794004186987877,
0.2831428050994873,
0.25457656383514404,
0.3559739291667938,
-0.11178558319807053,
-0.04452484846115112,
-0.10924924910068512,
0.10165832191705704,
-0.16587036848068237,
0.40507540106773376,
-0.23478902876377106,
0.08953950554132462,
-0.08646884560585022,
-0.012371436692774296,
-0.2658645212650299,
-0.1177593469619751,
-0.14358888566493988,
0.0613325871527195,
0.07406354695558548,
-0.1460016369819641,
0.10794640332460403,
0.1995038092136383,
0.13345986604690552,
-0.16214776039123535,
-0.16512355208396912,
0.15120474994182587,
-0.1544622927904129,
0.10339926183223724,
0.3309921622276306,
0.057362258434295654,
0.23977400362491608,
-0.3374665379524231,
-0.17271889746189117,
0.1334928572177887,
-0.23813052475452423,
-0.13328047096729279,
-0.09552449733018875,
-0.1865774393081665,
0.10564973950386047,
-0.3508002460002899,
-0.3200393319129944,
-0.14020806550979614,
0.07292886078357697,
-0.14415010809898376,
0.04000476375222206,
0.2728863060474396,
-0.3790871798992157,
-0.006066022906452417,
-0.12708009779453278,
-0.3006230592727661,
0.01657925546169281,
0.47354406118392944,
-0.061931345611810684,
-0.16933684051036835,
0.7641562819480896,
-0.17778785526752472,
0.06867405027151108,
-0.1367509514093399,
0.06282448768615723,
0.011607315391302109,
-0.13863568007946014,
0.025742609053850174,
-0.04889152571558952,
-0.18072549998760223,
0.10184179246425629,
0.5352264642715454,
0.3329124450683594,
0.004821314476430416,
0.0025992386508733034,
-0.4617112874984741,
-0.4422576129436493,
-0.09019365906715393,
-0.15435552597045898,
0.18460498750209808,
-0.07652498781681061,
0.13444040715694427,
0.21724900603294373,
0.10431430488824844,
-0.20098243653774261,
-0.17669570446014404,
0.007593640126287937,
0.24287132918834686,
-0.12657630443572998,
0.043921347707509995,
-0.026722947135567665,
0.08731262385845184,
0.031429849565029144,
-0.02703716605901718,
-0.3348521292209625,
-0.07218381762504578,
-0.06499527394771576,
0.20209333300590515,
0.09678618609905243,
-0.028630798682570457,
0.07220404595136642,
-0.15105348825454712,
-0.02545272558927536,
0.17819692194461823,
-0.026853246614336967,
0.08564912527799606,
-0.09723051637411118,
0.15172472596168518,
0.323880136013031,
-0.07167673856019974,
-0.0500326007604599,
0.21732375025749207,
0.056248653680086136,
0.16201654076576233,
-0.06300607323646545,
0.2864285707473755,
-0.13696040213108063,
0.05460214987397194,
0.20251184701919556,
0.10919065028429031,
0.00826989859342575,
0.25383952260017395,
0.11799744516611099,
-0.1682083159685135,
0.14139583706855774,
-0.049902476370334625,
0.3557969927787781,
0.7263293862342834,
-0.2195245921611786,
-0.12481648474931717,
0.4329027533531189,
0.056365642696619034,
-0.25470423698425293,
-0.04399574175477028,
0.3098616302013397,
0.13776229321956635,
0.04623576998710632,
0.21163645386695862,
0.0015199186746031046,
-0.03864835575222969,
0.1667882204055786,
0.136115163564682,
0.12866854667663574,
-0.22629186511039734,
-0.05903846025466919,
0.4483225345611572,
-0.22031785547733307,
0.16248919069766998,
0.39000236988067627,
0.06479001045227051,
0.21330390870571136,
0.2186935544013977,
0.0370323583483696,
0.6142650842666626,
0.05644610524177551,
0.017884615808725357,
0.08402588963508606,
-0.049764249473810196,
-0.0006024215254001319,
0.27663731575012207,
-0.03003878891468048,
-0.08608400076627731,
0.32754427194595337,
0.5549076199531555,
-0.3502872884273529,
-0.15907354652881622,
-0.26408109068870544,
-0.08660256117582321,
0.03199830278754234,
-0.1442382037639618,
-0.285094290971756,
0.08155746012926102,
-0.2161397784948349,
-0.13049784302711487,
-0.1188771203160286,
-0.3093909025192261,
0.1627066731452942,
0.017042912542819977,
-0.39833638072013855,
-0.2444036602973938,
-0.29097846150398254,
0.19365999102592468,
-0.10940323770046234,
-0.2699061930179596,
0.22087353467941284,
-0.013040437363088131,
0.03285647928714752,
0.29115352034568787,
0.32487085461616516,
0.4699459671974182,
0.1625402569770813,
-0.31814834475517273,
-0.23251259326934814,
-0.1214054599404335,
0.0972113236784935,
0.035079870373010635,
0.38069844245910645,
-0.049887340515851974,
-0.10703082382678986,
0.4631485939025879,
0.07265851646661758,
0.03713390976190567,
0.2186434268951416,
0.43211260437965393,
-0.48619788885116577,
-0.17150621116161346,
0.7934108376502991,
-0.07552880048751831,
-0.14116635918617249,
-0.12957756221294403,
0.25525858998298645,
-0.2604233920574188,
0.13434624671936035,
0.09955931454896927,
-0.0734473392367363,
0.13018867373466492,
0.02547362633049488,
0.03947751596570015,
-0.10640526562929153,
0.3546755015850067,
0.31101474165916443,
-0.04381674900650978,
-0.36947259306907654,
-0.2513987123966217,
-0.7986477017402649,
0.22746266424655914,
-0.11356884986162186,
-0.3236985206604004,
-0.06485434621572495,
-0.2603072226047516,
0.18936985731124878,
0.048111192882061005,
-0.14149132370948792,
0.19518372416496277,
0.0548698790371418,
0.1351766735315323,
-0.18994446098804474,
-0.3179086744785309,
-0.28872302174568176,
-0.023948905989527702,
-0.10388270020484924,
-0.38692688941955566,
0.11374405026435852,
-0.3304968774318695,
-0.07958602905273438,
0.11841258406639099,
-0.00978133175522089,
0.47797977924346924,
-0.005791679956018925,
0.3654899001121521,
-0.11248235404491425,
0.7752764225006104,
0.18795110285282135,
0.06328219920396805,
-0.16494369506835938,
0.12217647582292557,
-0.12064740806818008,
0.13483795523643494,
-0.07033583521842957,
0.10441012680530548,
-0.11896292120218277,
0.5212562084197998,
-0.44372087717056274,
0.4605462849140167,
-0.028102917596697807,
0.07408181577920914,
-0.3021467924118042,
0.045647867023944855,
-0.25546136498451233,
0.12183515727519989,
0.34445950388908386,
0.1411459892988205,
-0.09161032736301422,
0.35506948828697205,
-0.21494273841381073,
-0.19039171934127808,
0.3962551951408386,
-0.10348974168300629,
-0.09398656338453293,
0.02151637151837349,
0.2646278142929077,
-0.05172327905893326,
-0.140091672539711,
-0.4393872916698456,
0.19632719457149506,
0.29076045751571655,
-0.09371230006217957,
0.11838958412408829,
0.26023393869400024,
0.28375154733657837,
0.13402162492275238,
0.018327342346310616,
0.9827129244804382,
-0.05974318087100983,
0.1760433316230774,
-0.10538399964570999,
-0.22786012291908264
] |
https://github.com/huggingface/datasets/issues/161 | Discussion on version identifier & MockDataLoaderManager for test data | I have an initial version here: https://github.com/EntilZha/nlp/tree/master/datasets/qanta Thats pretty close to what I'll do as a PR, but still want to do some more sanity checks/tests (just got tests passing).
I figured out how to get all tests passing by adding a download command and some finagling with the data zip https://github.com/EntilZha/nlp/blob/master/tests/utils.py#L127
| Hi, I'm working on adding a dataset and ran into an error due to `download` not being defined on `MockDataLoaderManager`, but being defined in `nlp/utils/download_manager.py`. The readme step running this: `RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_dataset_localmydatasetname` triggers the error. If I can get something to work, I can include it in my data PR once I'm done. | 52 | Discussion on version identifier & MockDataLoaderManager for test data
Hi, I'm working on adding a dataset and ran into an error due to `download` not being defined on `MockDataLoaderManager`, but being defined in `nlp/utils/download_manager.py`. The readme step running this: `RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_dataset_localmydatasetname` triggers the error. If I can get something to work, I can include it in my data PR once I'm done.
I have an initial version here: https://github.com/EntilZha/nlp/tree/master/datasets/qanta Thats pretty close to what I'll do as a PR, but still want to do some more sanity checks/tests (just got tests passing).
I figured out how to get all tests passing by adding a download command and some finagling with the data zip https://github.com/EntilZha/nlp/blob/master/tests/utils.py#L127
| [
-0.1962164044380188,
0.40003663301467896,
-0.03146868571639061,
-0.1644131988286972,
0.044283874332904816,
-0.1332930475473404,
0.2794852554798126,
0.37617382407188416,
0.009489011019468307,
0.08292659372091293,
0.20643217861652374,
0.15806853771209717,
-0.30056875944137573,
0.06804094463586807,
0.1369246542453766,
0.0012007486075162888,
-0.056462906301021576,
0.16989615559577942,
-0.09795354306697845,
0.2125062346458435,
-0.12722063064575195,
0.07482463121414185,
0.020457282662391663,
0.10806168615818024,
-0.0279990341514349,
0.08875596523284912,
-0.2158946692943573,
0.03439050167798996,
-0.38094669580459595,
-0.7858073711395264,
0.3818259537220001,
0.07057212293148041,
0.1851997673511505,
0.3587057590484619,
-0.0001226895401487127,
-0.08625637739896774,
0.5880787372589111,
-0.05607656016945839,
-0.7038211226463318,
-0.23162031173706055,
0.24540702998638153,
-0.4804559648036957,
0.30185362696647644,
-0.021507857367396355,
0.18851712346076965,
-0.1316383183002472,
0.24420835077762604,
0.10435124486684799,
0.16175146400928497,
0.32244816422462463,
0.11873658746480942,
0.27763259410858154,
0.051467739045619965,
-0.17972403764724731,
-0.10094481706619263,
0.08600436896085739,
-0.0892680287361145,
0.5028811097145081,
0.3648625314235687,
0.03111984208226204,
-0.1123633086681366,
-0.13111865520477295,
0.0922636017203331,
0.49313539266586304,
0.125021830201149,
-0.02229432389140129,
0.501173734664917,
0.01911216415464878,
-0.21289396286010742,
0.04104846715927124,
0.7716667652130127,
-0.5064083933830261,
-0.37548547983169556,
-0.07861018925905228,
0.05649541690945625,
-0.13751418888568878,
0.260755717754364,
-0.1600877344608307,
-0.3946453332901001,
0.019819963723421097,
-0.16637592017650604,
-0.28037208318710327,
-0.06712199002504349,
0.2935136556625366,
-0.28309366106987,
0.26829126477241516,
0.07774811238050461,
0.17557835578918457,
0.08950234949588776,
-0.10085011273622513,
0.257343590259552,
-0.06183681637048721,
0.024405231699347496,
0.2348814755678177,
-0.03021564893424511,
-0.22387483716011047,
-0.26101967692375183,
-0.2221420854330063,
0.192213773727417,
0.08718465268611908,
-0.46262574195861816,
-0.19067612290382385,
-0.031207416206598282,
0.14959871768951416,
0.1416144222021103,
0.4171293079853058,
0.33842331171035767,
0.23890084028244019,
0.24328815937042236,
0.1627921313047409,
0.24343957006931305,
0.2634247839450836,
-0.05981258675456047,
-0.3704582154750824,
-0.03249732032418251,
0.09223353117704391,
0.14825262129306793,
-0.3287044167518616,
-0.15334022045135498,
-0.22707168757915497,
-0.38531777262687683,
-0.046314191073179245,
-0.054925546050071716,
0.23764850199222565,
-0.10888967663049698,
-0.14659355580806732,
0.04901169613003731,
0.41204389929771423,
-0.2063007950782776,
-0.1511351317167282,
-0.029488692060112953,
0.044526323676109314,
-0.1915409415960312,
-0.012614103965461254,
0.30864498019218445,
0.05575856938958168,
0.3780354857444763,
-0.36712145805358887,
-0.11766038835048676,
-0.0343116819858551,
0.11314684897661209,
0.18523584306240082,
-0.2689652442932129,
0.2899585962295532,
-0.1555456668138504,
0.052032142877578735,
0.07850415259599686,
-0.29270139336586,
-0.22106733918190002,
0.16356506943702698,
0.12039454281330109,
-0.4569105803966522,
0.037894830107688904,
0.09306175261735916,
-0.6060150265693665,
-0.06466449052095413,
0.012727136723697186,
-0.11572936922311783,
0.09138728678226471,
-0.3326219916343689,
0.026576446369290352,
-0.39136913418769836,
-0.20526567101478577,
-0.0672704204916954,
-0.09972656518220901,
0.239104762673378,
-0.2667430639266968,
-0.33723214268684387,
-0.4481429159641266,
-0.32592299580574036,
0.1292017102241516,
-0.22480514645576477,
-0.07712365686893463,
0.2149806022644043,
-0.37946194410324097,
-0.008516068570315838,
0.549782931804657,
-0.5216635465621948,
-0.35860756039619446,
0.44549551606178284,
-0.42921745777130127,
-0.2467300295829773,
0.23419708013534546,
-0.04898207634687424,
-0.0027358396910130978,
-0.3621472716331482,
-0.08949577808380127,
0.08227457851171494,
0.04962048679590225,
-0.17818880081176758,
-0.1884840875864029,
-0.34391698241233826,
0.11360983550548553,
0.220098078250885,
-0.03988165780901909,
0.08876338601112366,
0.09676407277584076,
0.054097097367048264,
0.35139426589012146,
0.11439753323793411,
0.15504473447799683,
-0.14401863515377045,
0.17716705799102783,
-0.23787640035152435,
-0.17119525372982025,
-0.05177222564816475,
-0.5992658138275146,
0.2523057460784912,
-0.11843055486679077,
0.21302375197410583,
-0.04645262658596039,
-0.011181975714862347,
-0.5071431398391724,
0.003305689198896289,
0.01984049752354622,
-0.2721043527126312,
0.0020704620983451605,
0.2044224590063095,
0.12961775064468384,
-0.047958437353372574,
-0.010605939663946629,
0.03222338482737541,
-0.21072953939437866,
0.1925332099199295,
-0.009809226728975773,
-0.020286353304982185,
-0.04618968814611435,
0.06240842118859291,
0.2495947629213333,
0.25558868050575256,
0.05471820384263992,
-0.34098246693611145,
0.007953260093927383,
0.28200313448905945,
0.20832444727420807,
0.18946510553359985,
0.18919208645820618,
-0.07011060416698456,
0.1703489124774933,
0.26392483711242676,
0.16458021104335785,
0.26295530796051025,
-0.01518195029348135,
-0.2123047411441803,
-0.08616410940885544,
0.24468617141246796,
0.1680414080619812,
0.04419174790382385,
-0.12836235761642456,
0.06571459770202637,
0.323811411857605,
0.11381228268146515,
-0.13485534489154816,
-0.2280585914850235,
0.1960444301366806,
0.28523680567741394,
0.6019870042800903,
-0.05045628920197487,
0.3259405195713043,
-0.04792163893580437,
-0.27811822295188904,
-0.3706563413143158,
0.017936602234840393,
0.11389987170696259,
-0.09621313959360123,
-0.056275587528944016,
0.09414354711771011,
0.36090877652168274,
0.8490371108055115,
-0.03925830498337746,
0.2709169387817383,
0.0866793766617775,
-0.18442854285240173,
-0.23165827989578247,
0.1509414166212082,
0.11443711072206497,
-0.02646586485207081,
0.1556096225976944,
0.0009209238342009485,
-0.4011898934841156,
-0.0890222117304802,
-0.00013104175741318613,
0.43312111496925354,
0.39993149042129517,
-0.34717369079589844,
-0.10980546474456787,
-0.30210116505622864,
-0.4445500075817108,
-0.3985893428325653,
-0.3630511164665222,
-0.2080824226140976,
-0.38136446475982666,
-0.06145554408431053,
0.22124408185482025,
-0.0000810364363132976,
0.23552817106246948,
-0.19494999945163727,
0.28329363465309143,
-0.3094022274017334,
-0.3343958854675293,
0.11647369712591171,
-0.20119445025920868,
-0.4004580080509186,
0.038076844066381454,
0.28132161498069763,
0.07048669457435608,
0.44269314408302307,
-0.10782049596309662,
-0.297360897064209,
-0.2132592499256134,
-0.3188501000404358,
0.1328553408384323,
0.06095792353153229,
0.5699260234832764,
0.476179838180542,
-0.01488469634205103,
0.42041054368019104,
0.07882976531982422,
0.042043741792440414,
-0.23354840278625488,
-0.4335298538208008,
-0.23417878150939941,
0.09182939678430557,
0.09691432863473892,
-0.1396644413471222,
-0.39729273319244385,
-0.52669358253479,
-0.08559026569128036,
0.17034383118152618,
0.127034991979599,
0.0732078030705452,
0.09398307651281357,
-0.1114279106259346,
0.2511831820011139,
0.08683197945356369,
-0.18744944036006927,
-0.11685296148061752,
0.07108961790800095,
-0.009084474295377731,
-0.14291846752166748,
-0.18716339766979218,
0.0666738748550415,
-0.1160896047949791,
0.0868186354637146,
-0.1572064310312271,
-0.48865631222724915,
-0.44232678413391113,
0.15424875915050507,
0.23099425435066223,
0.3925914168357849,
-0.20678284764289856,
0.2817329168319702,
0.20180130004882812,
0.12314736843109131,
-0.10951633006334305,
-0.3401254713535309,
0.16022495925426483,
0.09377182275056839,
0.3110191524028778,
0.13703356683254242,
0.34237030148506165,
-0.11723019182682037,
0.7626636028289795,
0.11879157274961472,
-0.09411487728357315,
-0.03337553143501282,
-0.13440778851509094,
0.015389122068881989,
-0.01784033142030239,
-0.04059560224413872,
0.3350594937801361,
-0.2001541554927826,
-0.31042638421058655,
0.20721690356731415,
-0.11684413254261017,
-0.03705428168177605,
-0.13537539541721344,
0.289180189371109,
-0.01741296797990799,
-0.06730537861585617,
0.0038469242863357067,
-0.21916760504245758,
0.008076525293290615,
0.09175167977809906,
-0.028248609974980354,
-0.19920840859413147,
-0.15857325494289398,
0.03104414790868759,
0.30560776591300964,
0.009298949502408504,
0.17336349189281464,
-0.2502236068248749,
0.006672599818557501,
-0.38045933842658997,
0.3209521174430847,
0.30832692980766296,
0.4791105091571808,
0.08994140475988388,
0.04050209000706673,
0.1281771957874298,
0.023768724873661995,
0.2255101203918457,
0.07952552288770676,
0.16413183510303497,
0.25303003191947937,
-0.13103421032428741,
-0.04519340395927429,
-0.24799904227256775,
-0.061088692396879196,
0.06379716098308563,
0.004301052074879408,
0.09554502367973328,
-0.40971267223358154,
-0.09873350709676743,
0.18825578689575195,
0.08911528438329697,
-0.07824177294969559,
-0.23516075313091278,
-0.07499676942825317,
-0.0863107219338417,
-0.11131929606199265,
-0.21148739755153656,
-0.22183185815811157,
0.017018204554915428,
-0.21502092480659485,
0.40636956691741943,
-0.0038533478509634733,
-0.08811715990304947,
-0.06015439331531525,
0.09694578498601913,
0.08987754583358765,
-0.2820565104484558,
0.2924054265022278,
0.26512542366981506,
0.07484505325555801,
0.3037792444229126,
0.31530171632766724,
-0.09081118553876877,
-0.21888962388038635,
0.02536877617239952,
0.05520324781537056,
0.42117199301719666,
0.35065004229545593,
0.10434029251337051,
-0.05036744475364685,
-0.23994220793247223,
-0.2073725014925003,
-0.2343253642320633,
0.19697505235671997,
0.28577369451522827,
-0.03091180883347988,
0.07850922644138336,
-0.31849759817123413,
0.7194918394088745,
0.22033101320266724,
-0.2501451373100281,
0.4313563406467438,
-0.21806496381759644,
-0.26280879974365234,
-0.06578270345926285,
0.12758244574069977,
0.9033374786376953,
0.14794974029064178,
0.23772503435611725,
0.4199581742286682,
-0.26912349462509155,
0.46432656049728394,
0.07282888889312744,
0.1551104635000229,
-0.4947300851345062,
-0.00016493158182129264,
0.019680967554450035,
-0.18237504363059998,
0.20951975882053375,
-0.09575729072093964,
-0.22470085322856903,
0.37494614720344543,
0.146523118019104,
0.2810683846473694,
0.3701074421405792,
0.30879998207092285,
-0.2517711818218231,
-0.03366045281291008,
-0.18580879271030426,
0.09027866274118423,
-0.14980097115039825,
0.40192821621894836,
-0.2816433608531952,
-0.0003147864481434226,
-0.1442372351884842,
-0.04424754157662392,
-0.25294482707977295,
-0.11223667114973068,
-0.1734396070241928,
0.06214199960231781,
0.15585318207740784,
-0.13206034898757935,
-0.06616007536649704,
0.18333126604557037,
0.08269034326076508,
-0.21432577073574066,
-0.1497819870710373,
0.125441774725914,
-0.1433178037405014,
0.16847257316112518,
0.3818269371986389,
0.04532889649271965,
0.32668229937553406,
-0.31696557998657227,
-0.05816670134663582,
0.06710881739854813,
-0.2803245782852173,
-0.12472692131996155,
-0.13294465839862823,
-0.17246976494789124,
0.14165620505809784,
-0.2999444901943207,
-0.14256227016448975,
-0.10251213610172272,
-0.009897447191178799,
-0.11590281128883362,
0.022395405918359756,
0.28106245398521423,
-0.35529664158821106,
-0.06101107969880104,
-0.11896102130413055,
-0.229909285902977,
0.009613190777599812,
0.4747704565525055,
-0.06723813712596893,
-0.13764449954032898,
0.6765257120132446,
-0.21037662029266357,
0.06588239222764969,
-0.1299181431531906,
0.06201256439089775,
-0.1010732352733612,
-0.11184319853782654,
0.07678360491991043,
-0.16967491805553436,
-0.3008669316768646,
0.04371461272239685,
0.5850263833999634,
0.44189485907554626,
0.01240659411996603,
-0.07040780782699585,
-0.46289220452308655,
-0.41166549921035767,
-0.0003565764636732638,
-0.14149700105190277,
0.20699220895767212,
-0.21216511726379395,
0.2207392007112503,
0.16328176856040955,
0.04603132978081703,
-0.18724991381168365,
-0.201705664396286,
0.049465011805295944,
0.2059495449066162,
-0.13847650587558746,
0.04342780262231827,
-0.015561915002763271,
0.14493170380592346,
-0.03392514958977699,
0.06349050253629684,
-0.3615332543849945,
-0.07694458216428757,
-0.10113611817359924,
0.205429345369339,
0.11184282600879669,
-0.0389489121735096,
0.15560312569141388,
-0.11734632402658463,
0.039722029119729996,
0.21439765393733978,
-0.06621638685464859,
-0.04835908114910126,
-0.09268877655267715,
0.11267165839672089,
0.34582746028900146,
0.09795007854700089,
-0.006950722075998783,
0.30149081349372864,
0.10003815591335297,
0.1763516664505005,
-0.11613292992115021,
0.26699644327163696,
-0.23393245041370392,
0.08855492621660233,
0.20248933136463165,
0.1292089819908142,
-0.019432740285992622,
0.2600131034851074,
0.13960111141204834,
-0.11417266726493835,
0.08041876554489136,
-0.1625293344259262,
0.3586401343345642,
0.8415080308914185,
-0.17826047539710999,
-0.13109172880649567,
0.47036680579185486,
0.032728150486946106,
-0.19339051842689514,
0.027116669341921806,
0.2276790738105774,
0.20254090428352356,
0.039652951061725616,
0.2661378085613251,
0.010690231807529926,
-0.13747438788414001,
0.19611214101314545,
0.14074355363845825,
0.09474228322505951,
-0.1786988526582718,
-0.07266798615455627,
0.5383139848709106,
-0.2553040087223053,
0.1620742231607437,
0.3502655029296875,
0.0004751363885588944,
0.21568617224693298,
0.08506053686141968,
0.025451358407735825,
0.5338088870048523,
-0.012156912125647068,
0.05823533609509468,
0.11353061348199844,
0.01912609115242958,
-0.04424288496375084,
0.259392112493515,
0.051443591713905334,
-0.01177574135363102,
0.3216552734375,
0.6301923394203186,
-0.4306804835796356,
-0.17472806572914124,
-0.2778608798980713,
-0.0494091622531414,
0.08228189498186111,
-0.149983748793602,
-0.39644888043403625,
0.04359782114624977,
-0.2213105857372284,
-0.07336188107728958,
-0.14795038104057312,
-0.3185242712497711,
0.2299109399318695,
0.003296698909252882,
-0.3555910885334015,
-0.3461932837963104,
-0.3967624306678772,
0.14084655046463013,
-0.03580840304493904,
-0.27528664469718933,
0.25086456537246704,
0.02940678969025612,
0.018532320857048035,
0.28296446800231934,
0.28391772508621216,
0.44415634870529175,
0.08628559857606888,
-0.4387357831001282,
-0.25408488512039185,
-0.1913307011127472,
0.13583241403102875,
-0.07762172073125839,
0.39957278966903687,
-0.05981661379337311,
-0.16802260279655457,
0.4992051124572754,
0.05886784940958023,
0.04353220760822296,
0.26643142104148865,
0.3724867105484009,
-0.5206156969070435,
-0.1689816564321518,
0.8208152651786804,
-0.06794864684343338,
-0.16675154864788055,
-0.027103710919618607,
0.17767925560474396,
-0.2319854497909546,
0.08259518444538116,
-0.035704031586647034,
-0.04750058799982071,
0.18776071071624756,
0.11940551549196243,
0.04107683151960373,
-0.17806358635425568,
0.3992721140384674,
0.3388812839984894,
-0.07150029391050339,
-0.3425285816192627,
-0.21393299102783203,
-0.8131747841835022,
0.08850466459989548,
-0.10057635605335236,
-0.37371405959129333,
-0.06355058401823044,
-0.23741276562213898,
0.25356847047805786,
0.1047837883234024,
-0.2574350833892822,
0.1771562099456787,
-0.0015824732836335897,
0.12594372034072876,
-0.2627957761287689,
-0.365987628698349,
-0.21408496797084808,
-0.025764409452676773,
-0.029740480706095695,
-0.40254855155944824,
0.07842409610748291,
-0.31337136030197144,
-0.09926488250494003,
0.2237178534269333,
-0.039395153522491455,
0.4940950870513916,
0.07308284193277359,
0.25377795100212097,
-0.012197772972285748,
0.6868556141853333,
0.24270272254943848,
-0.0313035324215889,
-0.2473425716161728,
0.17876677215099335,
-0.13330844044685364,
0.12535804510116577,
-0.10701501369476318,
0.1350855976343155,
-0.17025771737098694,
0.6143175959587097,
-0.41418296098709106,
0.4506012499332428,
0.07495135068893433,
0.07818985730409622,
-0.28697723150253296,
0.04797068238258362,
-0.34138748049736023,
0.14387986063957214,
0.32806554436683655,
0.30497342348098755,
-0.11956615746021271,
0.34439727663993835,
-0.2657005488872528,
-0.1519375592470169,
0.41174817085266113,
-0.2489464282989502,
-0.05838595703244209,
0.05723579227924347,
0.21902203559875488,
0.0009552594856359065,
-0.1586715430021286,
-0.44350025057792664,
0.1210436299443245,
0.26714086532592773,
-0.13255079090595245,
0.08481642603874207,
0.14585541188716888,
0.2846493422985077,
0.02644173987209797,
-0.03574095666408539,
0.9360098242759705,
-0.07236679643392563,
0.1544691026210785,
-0.018570255488157272,
-0.2431814968585968
] |
https://github.com/huggingface/datasets/issues/161 | Discussion on version identifier & MockDataLoaderManager for test data | I'm quite positive that you can just replace the `dl_manager.download()` statements here: https://github.com/EntilZha/nlp/blob/4d46443b65f1f756921db8275594e6af008a1de7/datasets/qanta/qanta.py#L194 with `dl_manager.download_and_extract()` even though you don't extract anything. I would prefer to avoid adding more functions to the MockDataLoadManager and keep it as simple as possible (It's already to complex now IMO).
Could you check if you can replace the `download()` function? | Hi, I'm working on adding a dataset and ran into an error due to `download` not being defined on `MockDataLoaderManager`, but being defined in `nlp/utils/download_manager.py`. The readme step running this: `RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_dataset_localmydatasetname` triggers the error. If I can get something to work, I can include it in my data PR once I'm done. | 55 | Discussion on version identifier & MockDataLoaderManager for test data
Hi, I'm working on adding a dataset and ran into an error due to `download` not being defined on `MockDataLoaderManager`, but being defined in `nlp/utils/download_manager.py`. The readme step running this: `RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_dataset_localmydatasetname` triggers the error. If I can get something to work, I can include it in my data PR once I'm done.
I'm quite positive that you can just replace the `dl_manager.download()` statements here: https://github.com/EntilZha/nlp/blob/4d46443b65f1f756921db8275594e6af008a1de7/datasets/qanta/qanta.py#L194 with `dl_manager.download_and_extract()` even though you don't extract anything. I would prefer to avoid adding more functions to the MockDataLoadManager and keep it as simple as possible (It's already to complex now IMO).
Could you check if you can replace the `download()` function? | [
-0.10087016224861145,
0.5024331212043762,
-0.03979744389653206,
-0.08978427946567535,
0.09680349379777908,
-0.12240692973136902,
0.2872874438762665,
0.3135526776313782,
-0.05438557267189026,
0.11574174463748932,
0.046182114630937576,
0.1649334579706192,
-0.27445515990257263,
-0.005963859613984823,
0.16595666110515594,
-0.03701652213931084,
-0.07802166044712067,
0.25511303544044495,
-0.09114520251750946,
0.21499760448932648,
-0.23069177567958832,
0.12446098029613495,
-0.07093708962202072,
0.07457935810089111,
0.13653087615966797,
0.19969803094863892,
-0.16580606997013092,
0.05431869998574257,
-0.3160353899002075,
-0.876468300819397,
0.34792110323905945,
0.18099525570869446,
0.2423819601535797,
0.23878878355026245,
-0.00012480559234973043,
-0.1538027971982956,
0.5954886078834534,
-0.12650635838508606,
-0.6724079847335815,
-0.17283177375793457,
0.24162250757217407,
-0.44368821382522583,
0.26434189081192017,
-0.07161904126405716,
0.2790195047855377,
-0.1683756560087204,
0.18214724957942963,
0.11028362065553665,
0.07405313849449158,
0.3863357901573181,
0.11946222186088562,
0.24075782299041748,
0.08585676550865173,
-0.12019384652376175,
-0.058449819684028625,
0.024083854630589485,
-0.0008230159291997552,
0.6254271864891052,
0.4066478908061981,
0.021435411646962166,
0.021082354709506035,
-0.010083990171551704,
-0.061721447855234146,
0.45013120770454407,
0.24951261281967163,
-0.04782029986381531,
0.49971386790275574,
-0.0700686052441597,
-0.16319656372070312,
-0.013614766299724579,
0.6971597075462341,
-0.5866326093673706,
-0.3620380461215973,
-0.054751206189394,
0.15433408319950104,
-0.20426040887832642,
0.13494253158569336,
-0.28096359968185425,
-0.4394976496696472,
0.058052536100149155,
-0.10193029791116714,
-0.5488116145133972,
0.017848778516054153,
0.25423696637153625,
-0.30119872093200684,
0.2867894172668457,
0.11398261040449142,
0.1454484909772873,
0.24242813885211945,
-0.05278779938817024,
0.21367624402046204,
-0.022138562053442,
-0.08245529234409332,
0.16982325911521912,
0.0019522076472640038,
-0.3044985234737396,
-0.3149797022342682,
-0.2155284583568573,
0.09691578894853592,
0.13492238521575928,
-0.37371397018432617,
-0.14380402863025665,
-0.05634018033742905,
0.13417312502861023,
0.09189242124557495,
0.4165341854095459,
0.3381824195384979,
0.22063656151294708,
0.10820451378822327,
0.22823067009449005,
0.23546768724918365,
0.12068718671798706,
0.03867407143115997,
-0.3611074984073639,
0.019834082573652267,
0.19145004451274872,
0.13478772342205048,
-0.19446928799152374,
-0.08906871825456619,
-0.24023915827274323,
-0.4562419652938843,
-0.05777711048722267,
-0.1779346466064453,
0.2095634490251541,
-0.08753695338964462,
-0.08982694894075394,
0.10732883214950562,
0.40889468789100647,
-0.12385623157024384,
-0.27147436141967773,
0.0032229716889560223,
0.19675232470035553,
-0.09802553802728653,
0.11117035895586014,
0.21871031820774078,
0.024942509829998016,
0.3383959233760834,
-0.37400108575820923,
-0.034395981580019,
-0.03799280524253845,
0.1008778065443039,
-0.013926450163125992,
-0.1752636432647705,
0.29795607924461365,
-0.13329365849494934,
0.03545466437935829,
0.02031053602695465,
-0.3518681824207306,
-0.20858587324619293,
0.24709321558475494,
0.22873270511627197,
-0.4571872651576996,
-0.09473820775747299,
0.059910472482442856,
-0.5005056262016296,
-0.02239154651761055,
-0.05310003086924553,
-0.076795794069767,
-0.07516738772392273,
-0.5091549754142761,
0.15669932961463928,
-0.3630225956439972,
-0.2893626391887665,
-0.05024648457765579,
-0.059420350939035416,
0.37651327252388,
-0.2985683083534241,
-0.29981234669685364,
-0.5405735373497009,
-0.30797621607780457,
0.149720698595047,
-0.244998961687088,
-0.16400165855884552,
0.26623648405075073,
-0.3465721309185028,
0.04316471144556999,
0.6672197580337524,
-0.6826147437095642,
-0.3817330598831177,
0.3879486918449402,
-0.2968752086162567,
-0.20163170993328094,
0.13723111152648926,
-0.08174300193786621,
0.07141759246587753,
-0.31405961513519287,
-0.2028537094593048,
-0.005927268415689468,
0.09159789979457855,
-0.2129979431629181,
-0.13809283077716827,
-0.47395285964012146,
0.13925619423389435,
0.22118911147117615,
0.0007851556874811649,
0.24563640356063843,
0.03358960524201393,
0.14707604050636292,
0.36340445280075073,
0.1003376767039299,
0.13167637586593628,
-0.15881609916687012,
0.24994680285453796,
-0.18818053603172302,
-0.18373259902000427,
-0.08811551332473755,
-0.5891332030296326,
0.21657982468605042,
-0.16063576936721802,
0.22971317172050476,
-0.07063758373260498,
-0.0018131551332771778,
-0.4160645008087158,
-0.039894189685583115,
0.09383790194988251,
-0.2353091537952423,
-0.025887051597237587,
0.19697047770023346,
0.19552244246006012,
0.004465823993086815,
-0.01573062315583229,
0.06437589228153229,
-0.1620643585920334,
0.23343253135681152,
0.07400815933942795,
-0.05165088176727295,
-0.022028660401701927,
0.14289598166942596,
0.20402996242046356,
0.24361903965473175,
0.03090188466012478,
-0.25026261806488037,
-0.036677151918411255,
0.3134898245334625,
0.14573054015636444,
0.27442291378974915,
0.10608703643083572,
-0.04028899595141411,
0.18484210968017578,
0.28031137585639954,
0.16047853231430054,
0.2589097321033478,
0.11254424601793289,
-0.12400826811790466,
0.0815054401755333,
0.11401244252920151,
0.30637696385383606,
0.03690582141280174,
-0.10140994936227798,
0.04883849248290062,
0.2526004910469055,
0.06619599461555481,
-0.12181832641363144,
-0.3277987241744995,
-0.024629639461636543,
0.2636626362800598,
0.6258202195167542,
-0.09830503910779953,
0.3067035377025604,
-0.10810234397649765,
-0.27656814455986023,
-0.3729352355003357,
0.02712607942521572,
0.13545626401901245,
-0.2431388646364212,
-0.05934811756014824,
0.005909881554543972,
0.4128134846687317,
0.8891432285308838,
-0.08765023201704025,
0.2127113789319992,
0.25769320130348206,
0.09946401417255402,
-0.1476353108882904,
0.31021782755851746,
0.273175448179245,
0.03670435771346092,
0.1560714691877365,
0.017295531928539276,
-0.24424812197685242,
-0.0324268639087677,
-0.09209571778774261,
0.330915629863739,
0.3591979742050171,
-0.30033472180366516,
-0.10634119808673859,
-0.30636605620384216,
-0.5244476199150085,
-0.3691817820072174,
-0.3438989222049713,
-0.20262251794338226,
-0.3367355465888977,
-0.16702468693256378,
0.25610971450805664,
-0.016801126301288605,
0.2510782778263092,
-0.17695993185043335,
0.23437583446502686,
-0.3581813871860504,
-0.26189184188842773,
0.014088819734752178,
-0.06981273740530014,
-0.28657805919647217,
0.005503244232386351,
0.2328590452671051,
0.1618766337633133,
0.24962659180164337,
-0.2545630931854248,
-0.21234263479709625,
-0.34648963809013367,
-0.18361665308475494,
0.19877421855926514,
0.2477278709411621,
0.4137883484363556,
0.5279138684272766,
-0.0702146589756012,
0.3567330837249756,
0.05945051088929176,
-0.06608288735151291,
-0.1920313835144043,
-0.3716992139816284,
-0.30342382192611694,
-0.0005269242683425546,
0.27847978472709656,
-0.08362536877393723,
-0.3137311339378357,
-0.6029019951820374,
-0.14122115075588226,
0.034232206642627716,
0.07534819096326828,
0.1252206712961197,
0.030590686947107315,
-0.24102658033370972,
0.22648802399635315,
-0.06759880483150482,
-0.23341916501522064,
-0.20004798471927643,
0.1599310040473938,
-0.009144952520728111,
-0.16310198605060577,
-0.04546184092760086,
0.07400716096162796,
-0.10867732018232346,
0.05650421231985092,
-0.23117774724960327,
-0.4390263855457306,
-0.49937358498573303,
0.20321010053157806,
-0.011472797952592373,
0.14936859905719757,
-0.18084704875946045,
0.2266942858695984,
0.24462617933750153,
0.14415551722049713,
0.007774581201374531,
-0.4050814211368561,
0.12961599230766296,
0.1733422428369522,
0.25960150361061096,
0.2025206834077835,
0.4707225263118744,
-0.18957793712615967,
0.6809969544410706,
0.08018959313631058,
-0.06540750712156296,
-0.006915408652275801,
-0.19380633533000946,
0.12983419001102448,
0.09109845012426376,
-0.07360187917947769,
0.2188321352005005,
-0.19008886814117432,
-0.2723953425884247,
0.26072928309440613,
-0.3641332983970642,
-0.09073998779058456,
-0.1529102772474289,
0.21480999886989594,
-0.18263716995716095,
-0.1637749820947647,
0.07783829420804977,
-0.2045094072818756,
0.0020857532508671284,
0.1484217345714569,
0.00008367608825210482,
-0.21906661987304688,
-0.058467570692300797,
0.10795843601226807,
0.2922639846801758,
0.09092121571302414,
0.11736774444580078,
-0.28290224075317383,
-0.007355594541877508,
-0.4521167576313019,
0.3575472831726074,
0.3472757339477539,
0.4865114092826843,
0.2158142477273941,
0.039203789085149765,
0.0082472562789917,
0.040773604065179825,
0.21377934515476227,
-0.029947955161333084,
0.013004861772060394,
0.2556818127632141,
-0.13648857176303864,
0.061476826667785645,
-0.22550521790981293,
-0.09265473484992981,
0.0719015821814537,
0.08172386884689331,
-0.07073070108890533,
-0.31187525391578674,
-0.15123626589775085,
0.3328525722026825,
0.1557932198047638,
-0.1117551326751709,
-0.2423667162656784,
0.00851057842373848,
-0.15314200520515442,
-0.1970021277666092,
-0.19007055461406708,
-0.24555879831314087,
0.1381567269563675,
-0.12386205047369003,
0.44703012704849243,
0.013527016155421734,
-0.09884051978588104,
0.08706270903348923,
0.024768998846411705,
0.187104731798172,
-0.1544833481311798,
0.13126227259635925,
0.17856884002685547,
0.0028184344992041588,
0.3041520118713379,
0.2868061363697052,
-0.02494579553604126,
-0.26218181848526,
0.024909837171435356,
0.11324064433574677,
0.3784661293029785,
0.3422512412071228,
0.19741135835647583,
0.0638270378112793,
-0.28435468673706055,
-0.18205124139785767,
-0.14466559886932373,
0.16747474670410156,
0.350755900144577,
-0.1033928319811821,
0.05127176269888878,
-0.23811398446559906,
0.6501335501670837,
0.15208756923675537,
-0.2175854593515396,
0.29246801137924194,
-0.19579973816871643,
-0.25129613280296326,
-0.12040631473064423,
0.1437392234802246,
0.9772183299064636,
0.17870500683784485,
0.19215767085552216,
0.37996527552604675,
-0.2701803743839264,
0.5282023549079895,
0.12167239189147949,
0.11431528627872467,
-0.4974672198295593,
-0.036809105426073074,
0.01277151983231306,
-0.21958334743976593,
0.2260391116142273,
-0.15513776242733002,
-0.23718251287937164,
0.35429805517196655,
-0.010540962219238281,
0.28239917755126953,
0.3365882337093353,
0.32032984495162964,
-0.22276438772678375,
-0.026248833164572716,
-0.161359965801239,
0.042556922882795334,
-0.049717362970113754,
0.41778913140296936,
-0.2992789149284363,
0.009875660762190819,
-0.08630752563476562,
-0.04552652686834335,
-0.325615257024765,
-0.20060066878795624,
-0.29272374510765076,
0.017192082479596138,
0.08279824256896973,
-0.13996846973896027,
-0.010615960694849491,
0.17796418070793152,
0.08981534838676453,
-0.21600760519504547,
-0.099816232919693,
0.09243497252464294,
-0.14039382338523865,
0.2634120583534241,
0.38699373602867126,
0.09648340195417404,
0.26869824528694153,
-0.34610772132873535,
-0.09964385628700256,
0.30464792251586914,
-0.23491986095905304,
-0.2469949573278427,
-0.041801322251558304,
-0.2066764086484909,
0.13844771683216095,
-0.19164152443408966,
-0.32677629590034485,
-0.025652989745140076,
0.0002871699398383498,
-0.13440831005573273,
-0.00313161825761199,
0.16473489999771118,
-0.3638894855976105,
-0.008035514503717422,
-0.2035222053527832,
-0.25346142053604126,
0.04944055527448654,
0.4804394543170929,
-0.02904648892581463,
-0.22069257497787476,
0.6655129790306091,
-0.2630751132965088,
0.1176690012216568,
-0.12205177545547485,
-0.007447515148669481,
-0.09300586581230164,
-0.10929890722036362,
0.07604288309812546,
-0.17612077295780182,
-0.17633578181266785,
-0.010683165863156319,
0.582041323184967,
0.3484703302383423,
0.0852460265159607,
-0.1574583649635315,
-0.4427752196788788,
-0.40297049283981323,
0.01759088598191738,
-0.06714580208063126,
0.13793665170669556,
-0.18048006296157837,
0.18105721473693848,
0.12914839386940002,
0.08300752937793732,
-0.17618070542812347,
-0.10881144553422928,
0.027718398720026016,
0.10157683491706848,
-0.13341467082500458,
0.17750395834445953,
0.0053311679512262344,
0.14194698631763458,
-0.06230149045586586,
0.17821498215198517,
-0.2920299768447876,
-0.052992161363363266,
-0.11403021216392517,
0.22683246433734894,
0.02388901077210903,
0.06089262291789055,
0.1892111599445343,
-0.04796633869409561,
0.015474945306777954,
0.24556481838226318,
-0.10414738953113556,
-0.03355506435036659,
-0.05473897233605385,
0.21973326802253723,
0.3419252038002014,
0.042103543877601624,
-0.1363520622253418,
0.23928897082805634,
0.2469780445098877,
0.21957504749298096,
-0.13978244364261627,
0.37925589084625244,
-0.11718590557575226,
0.06506086885929108,
0.28737080097198486,
0.04528328403830528,
-0.07998504489660263,
0.2675742208957672,
0.09384781867265701,
0.030712014064192772,
0.11529319733381271,
-0.07018156349658966,
0.2299199104309082,
0.8423095345497131,
-0.24265408515930176,
-0.11675264686346054,
0.40150582790374756,
0.009781691245734692,
-0.23323564231395721,
-0.08031421899795532,
0.2138211578130722,
0.06446327269077301,
0.009682416915893555,
0.2943810522556305,
0.049018606543540955,
-0.01730167865753174,
0.31864240765571594,
0.09393873065710068,
0.08764534443616867,
-0.14573350548744202,
-0.07335031777620316,
0.5390340089797974,
-0.26027238368988037,
0.2122848480939865,
0.392304927110672,
0.1399432271718979,
0.3845630884170532,
0.15995614230632782,
-0.06687791645526886,
0.5641660690307617,
-0.06525702029466629,
0.007685644552111626,
0.2044232338666916,
-0.08264811336994171,
-0.08975955843925476,
0.3919524550437927,
0.028776004910469055,
0.02241714671254158,
0.30100855231285095,
0.39953985810279846,
-0.3488951325416565,
-0.16715654730796814,
-0.2033414989709854,
0.030660714954137802,
0.1244572252035141,
-0.11075616627931595,
-0.23745077848434448,
0.005826856475323439,
-0.26031723618507385,
-0.058110691606998444,
-0.18110908567905426,
-0.36725741624832153,
0.2537267208099365,
-0.051365986466407776,
-0.3961370289325714,
-0.1772398054599762,
-0.5898524522781372,
0.02973158098757267,
-0.106915682554245,
-0.26929736137390137,
0.051676880568265915,
0.03170190006494522,
0.07564829289913177,
0.22591058909893036,
0.4408133625984192,
0.3618394732475281,
0.10118624567985535,
-0.32470789551734924,
-0.3104083836078644,
-0.20571963489055634,
0.168928325176239,
-0.0008587106713093817,
0.26479336619377136,
0.06462644785642624,
-0.18335413932800293,
0.4019778072834015,
0.034111566841602325,
0.051967207342386246,
0.18164241313934326,
0.4109756648540497,
-0.47856712341308594,
-0.2713511884212494,
0.9588332772254944,
0.018587833270430565,
-0.07537417113780975,
-0.1051437109708786,
0.2092435657978058,
-0.24594160914421082,
0.15358887612819672,
-0.05406968295574188,
-0.02507912740111351,
0.1652688831090927,
0.20228461921215057,
0.011583652347326279,
-0.048438575118780136,
0.2834642827510834,
0.2929684817790985,
-0.06524450331926346,
-0.299843430519104,
-0.32373619079589844,
-0.8680152893066406,
0.16102389991283417,
0.09295067191123962,
-0.27846962213516235,
-0.019421739503741264,
-0.28995683789253235,
0.17587114870548248,
0.1876770257949829,
-0.24990306794643402,
0.2563643455505371,
-0.007288736756891012,
-0.035454124212265015,
-0.28572213649749756,
-0.28918272256851196,
-0.24124270677566528,
-0.023864706978201866,
-0.022986534982919693,
-0.3951798975467682,
0.19543075561523438,
-0.43772903084754944,
-0.13601012527942657,
0.16049307584762573,
-0.05110668018460274,
0.4187009036540985,
0.07762899994850159,
0.4448586404323578,
-0.03417659178376198,
0.505246102809906,
0.15348978340625763,
-0.050154708325862885,
-0.04782101511955261,
0.2508711814880371,
-0.1411208063364029,
0.11360668390989304,
-0.07329348474740982,
0.09428660571575165,
-0.17538884282112122,
0.6784105896949768,
-0.4178822338581085,
0.4013878405094147,
0.011650784872472286,
0.12361098825931549,
-0.49177613854408264,
-0.0024986991193145514,
-0.17377354204654694,
0.14623768627643585,
0.37973955273628235,
0.25357943773269653,
-0.1776377409696579,
0.3676301836967468,
-0.42262136936187744,
0.026184655725955963,
0.5046990513801575,
-0.16471509635448456,
-0.07719241827726364,
-0.04225656017661095,
0.3168366551399231,
-0.04624221473932266,
-0.20655196905136108,
-0.5365793704986572,
0.06525680422782898,
0.2432873696088791,
-0.06352637708187103,
0.14099591970443726,
0.20620766282081604,
0.17869743704795837,
0.07907149195671082,
-0.038183920085430145,
0.822300136089325,
-0.0023479594383388758,
0.1193787232041359,
-0.1942015439271927,
-0.261188805103302
] |
https://github.com/huggingface/datasets/issues/161 | Discussion on version identifier & MockDataLoaderManager for test data | I might be doing something wrong, but swapping those two gives this error:
```
> with open(path) as f:
E IsADirectoryError: [Errno 21] Is a directory: 'datasets/qanta/dummy/mode=first,char_skip=25/2018.4.18/dummy_data-zip-extracted/dummy_data'
src/nlp/datasets/qanta/3d965403133687b819905ead4b69af7bcee365865279b2f797c79f809b4490c3/qanta.py:280: IsADirectoryError
During handling of the above exception, another exception occurred:
```
So it seems like the directory name is getting passed. Is this not functioning as expected, or is there some caching happening maybe? I deleted the dummy files and re-ran the import script with no changes. I'm digging a bit in with a debugger, but no clear reason yet | Hi, I'm working on adding a dataset and ran into an error due to `download` not being defined on `MockDataLoaderManager`, but being defined in `nlp/utils/download_manager.py`. The readme step running this: `RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_dataset_localmydatasetname` triggers the error. If I can get something to work, I can include it in my data PR once I'm done. | 88 | Discussion on version identifier & MockDataLoaderManager for test data
Hi, I'm working on adding a dataset and ran into an error due to `download` not being defined on `MockDataLoaderManager`, but being defined in `nlp/utils/download_manager.py`. The readme step running this: `RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_dataset_localmydatasetname` triggers the error. If I can get something to work, I can include it in my data PR once I'm done.
I might be doing something wrong, but swapping those two gives this error:
```
> with open(path) as f:
E IsADirectoryError: [Errno 21] Is a directory: 'datasets/qanta/dummy/mode=first,char_skip=25/2018.4.18/dummy_data-zip-extracted/dummy_data'
src/nlp/datasets/qanta/3d965403133687b819905ead4b69af7bcee365865279b2f797c79f809b4490c3/qanta.py:280: IsADirectoryError
During handling of the above exception, another exception occurred:
```
So it seems like the directory name is getting passed. Is this not functioning as expected, or is there some caching happening maybe? I deleted the dummy files and re-ran the import script with no changes. I'm digging a bit in with a debugger, but no clear reason yet | [
0.05404652655124664,
0.07422345876693726,
0.009659906849265099,
0.17164680361747742,
0.01845763809978962,
-0.1827673614025116,
0.4075562357902527,
0.18073609471321106,
0.03177332878112793,
0.24988539516925812,
0.038060907274484634,
0.06830506771802902,
-0.06527341157197952,
-0.2527972161769867,
0.016633503139019012,
0.15957880020141602,
0.1347908079624176,
0.04466508701443672,
-0.2199355810880661,
-0.0055109127424657345,
-0.3515836298465729,
0.20710352063179016,
-0.18735042214393616,
0.14597298204898834,
-0.09561678767204285,
0.2706398069858551,
-0.22023619711399078,
0.2536095678806305,
-0.19941888749599457,
-0.5675514936447144,
0.14673180878162384,
0.029544586315751076,
0.1657157838344574,
0.5746882557868958,
-0.0001326538185821846,
-0.07714255154132843,
0.5401037931442261,
-0.1227792501449585,
-0.668753981590271,
-0.23048843443393707,
0.28792908787727356,
-0.15296024084091187,
0.20211370289325714,
-0.08125074952840805,
0.2706165611743927,
-0.1741899847984314,
0.20436641573905945,
-0.06535480171442032,
0.1248997151851654,
0.3529888391494751,
0.019501879811286926,
0.1126963421702385,
-0.010982266627252102,
0.07280804961919785,
0.09343849867582321,
0.2516901195049286,
-0.09757174551486969,
0.4664696455001831,
0.21144574880599976,
0.0007739223074167967,
-0.0459158830344677,
-0.015806833282113075,
0.01910911127924919,
0.46090877056121826,
0.3064596652984619,
0.18696454167366028,
0.46506157517433167,
0.10373485833406448,
-0.012513875029981136,
-0.03786511719226837,
0.6569065451622009,
-0.4838959574699402,
-0.4344104528427124,
-0.0811828002333641,
-0.12728415429592133,
-0.20948459208011627,
0.38311174511909485,
-0.1031869426369667,
-0.3200293481349945,
0.09504419565200806,
0.01449093222618103,
-0.2616746425628662,
-0.035386670380830765,
0.2144245058298111,
-0.37360259890556335,
0.3995920419692993,
0.034709542989730835,
0.19331222772598267,
0.07282900810241699,
-0.04959544539451599,
0.3031978905200958,
-0.34249162673950195,
0.04692405089735985,
0.16503369808197021,
0.09963355213403702,
-0.004732599016278982,
-0.16642382740974426,
-0.06243536248803139,
-0.14533266425132751,
0.034462735056877136,
-0.4331529140472412,
-0.13929222524166107,
-0.18535898625850677,
0.21319697797298431,
0.18501053750514984,
0.4487714171409607,
0.2529617249965668,
0.49305298924446106,
0.17895826697349548,
0.1321789026260376,
0.13476191461086273,
0.18852677941322327,
-0.007199963554739952,
-0.44622087478637695,
-0.0033653918653726578,
0.1070360466837883,
0.2182110846042633,
-0.2600004971027374,
-0.2631749212741852,
-0.2860175669193268,
-0.4661548435688019,
-0.036149077117443085,
-0.05770571529865265,
0.2854333519935608,
-0.21941138803958893,
-0.1112205982208252,
0.06850823014974594,
0.3858867883682251,
-0.19950050115585327,
0.05821758881211281,
0.0005530173657462001,
0.03904857113957405,
-0.25790175795555115,
0.03631291911005974,
0.09758501499891281,
0.11273707449436188,
0.2136283814907074,
-0.32738807797431946,
0.13679832220077515,
-0.1455705761909485,
0.07292021065950394,
-0.0004475788737181574,
0.1181761622428894,
0.3578861355781555,
-0.14977291226387024,
0.19033102691173553,
0.1012113094329834,
-0.45273345708847046,
-0.25621798634529114,
0.2993796169757843,
-0.10430748015642166,
-0.4040016829967499,
0.09910107403993607,
-0.005106083117425442,
-0.4261927008628845,
0.06087459996342659,
0.07882998138666153,
-0.39645642042160034,
0.19351816177368164,
-0.5260312557220459,
0.06719560921192169,
-0.2752555012702942,
-0.2804777920246124,
-0.12022747844457626,
-0.09894001483917236,
0.4806630611419678,
-0.34747326374053955,
-0.28770050406455994,
-0.38061732053756714,
-0.04328218847513199,
0.12351769208908081,
-0.07172459363937378,
-0.12091968208551407,
0.04395796358585358,
-0.5625425577163696,
0.018757035955786705,
0.4358152449131012,
-0.5859127640724182,
-0.32398390769958496,
0.3623734414577484,
-0.5026482939720154,
-0.19662664830684662,
0.4976196885108948,
-0.11811009794473648,
-0.01931067928671837,
-0.43628931045532227,
0.00029263939359225333,
0.04905888810753822,
0.06989649683237076,
-0.041125889867544174,
-0.17711284756660461,
-0.20519663393497467,
-0.025002844631671906,
0.08768326044082642,
-0.17620688676834106,
0.10934759676456451,
0.045501891523599625,
-0.10576467216014862,
0.4786713719367981,
0.07372569292783737,
0.09647486358880997,
-0.0445866696536541,
0.20204515755176544,
0.05049104243516922,
-0.041183315217494965,
0.25568610429763794,
-0.5695759057998657,
0.1495256870985031,
-0.1553897261619568,
0.12621258199214935,
-0.24375763535499573,
-0.0856456309556961,
-0.36877018213272095,
0.06484130024909973,
-0.14587122201919556,
-0.15639863908290863,
-0.1060829758644104,
0.5268378853797913,
-0.01650206372141838,
-0.06277445703744888,
0.04309321194887161,
0.08777216821908951,
-0.14425581693649292,
0.24223819375038147,
-0.11042865365743637,
0.005360633134841919,
-0.05163919925689697,
0.08585384488105774,
-0.0734892338514328,
0.030898265540599823,
0.22429078817367554,
-0.40818122029304504,
0.03320874646306038,
0.3498994708061218,
0.2747834324836731,
0.46276605129241943,
-0.022555237635970116,
-0.13486912846565247,
0.1559964418411255,
0.24798308312892914,
0.3091239333152771,
0.344550758600235,
0.08198753744363785,
-0.2899186313152313,
-0.019193634390830994,
0.2700665295124054,
0.16893097758293152,
0.3189723491668701,
-0.03178762272000313,
-0.049406006932258606,
0.04129423946142197,
0.1339268684387207,
-0.06262322515249252,
-0.2984604239463806,
0.18931908905506134,
0.16936028003692627,
0.5996584892272949,
0.07128743082284927,
0.32798314094543457,
0.025675922632217407,
-0.172720804810524,
-0.27904796600341797,
-0.08578597754240036,
-0.000038109763409011066,
-0.18876491487026215,
-0.08370154350996017,
0.09133226424455643,
0.4056794047355652,
0.9681351184844971,
-0.09375602006912231,
0.3328850269317627,
0.033049795776605606,
-0.10807796567678452,
-0.2747819125652313,
0.28881070017814636,
0.22763454914093018,
-0.07494259625673294,
0.17337003350257874,
-0.03139890357851982,
-0.31840306520462036,
-0.04010477289557457,
-0.05030520260334015,
0.5000056624412537,
0.14260053634643555,
-0.5107773542404175,
0.2243058681488037,
-0.2545761168003082,
-0.3097941279411316,
-0.6035177111625671,
-0.3119942247867584,
-0.060538940131664276,
-0.5021187663078308,
-0.09551563113927841,
0.3961227536201477,
-0.030483268201351166,
0.20940634608268738,
-0.07476487755775452,
0.08459162712097168,
-0.4432923197746277,
-0.44742220640182495,
-0.014093596488237381,
0.00826389528810978,
-0.48457765579223633,
-0.14611247181892395,
0.33262211084365845,
-0.0875559151172638,
0.22779212892055511,
-0.23387661576271057,
-0.20161931216716766,
-0.23572388291358948,
-0.2972358167171478,
0.12632721662521362,
0.15794751048088074,
0.4473169147968292,
0.23238010704517365,
0.000206656739464961,
0.46073299646377563,
0.0031135049648582935,
0.1273820847272873,
-0.20606102049350739,
-0.3891749978065491,
-0.15753836929798126,
0.1272813230752945,
0.1342286318540573,
-0.1593412607908249,
-0.39147770404815674,
-0.4792369604110718,
-0.03614691272377968,
-0.0952894538640976,
0.05918224900960922,
0.12565308809280396,
0.248422309756279,
-0.1625204086303711,
0.14527694880962372,
0.06382398307323456,
-0.09572579711675644,
-0.03304046392440796,
0.08952083438634872,
0.03843162581324577,
-0.23889963328838348,
-0.0015530497767031193,
0.04427346959710121,
0.0077286348678171635,
0.056634508073329926,
-0.0904531255364418,
-0.4622609317302704,
-0.4703609049320221,
0.19328849017620087,
0.05559973046183586,
0.18048244714736938,
-0.10260471701622009,
0.4552403390407562,
0.2974391281604767,
0.13758745789527893,
-0.09040072560310364,
-0.3450208604335785,
0.024569319561123848,
0.08051814138889313,
0.3078867793083191,
0.15233756601810455,
0.3881361782550812,
-0.19256655871868134,
0.8443016409873962,
0.12629827857017517,
0.035267993807792664,
0.08385474234819412,
-0.15377230942249298,
0.18944457173347473,
-0.08218611776828766,
-0.03154900670051575,
0.15041479468345642,
-0.08360820263624191,
-0.552213191986084,
0.3674585223197937,
-0.05712158605456352,
-0.23132149875164032,
-0.06647635996341705,
0.22735415399074554,
-0.14406530559062958,
-0.15885131061077118,
0.07420085370540619,
-0.19066934287548065,
-0.012434421107172966,
0.16560159623622894,
0.0025183851830661297,
-0.26383131742477417,
-0.21585780382156372,
0.012425274588167667,
0.302284300327301,
0.02733442932367325,
0.08392205834388733,
-0.33054378628730774,
-0.12841497361660004,
-0.14755143225193024,
0.3084339201450348,
0.33007675409317017,
0.41019463539123535,
-0.01594269834458828,
-0.1134256049990654,
0.2813282907009125,
0.007648846134543419,
0.3506707549095154,
0.06734572350978851,
0.212434321641922,
0.19533084332942963,
-0.0024007055908441544,
-0.11793316900730133,
-0.18610504269599915,
-0.07736077904701233,
0.1471853256225586,
0.10939319431781769,
0.18207956850528717,
-0.23847314715385437,
-0.26433053612709045,
0.20997920632362366,
0.1963241994380951,
-0.1552479863166809,
-0.21320797502994537,
-0.20942910015583038,
-0.12904751300811768,
-0.1241963654756546,
-0.3455806374549866,
-0.13917340338230133,
-0.06293459236621857,
-0.09446270763874054,
0.38782799243927,
0.018096420913934708,
-0.18357962369918823,
0.05521760880947113,
0.004763313103467226,
0.30929040908813477,
-0.18026426434516907,
0.15318915247917175,
0.36620134115219116,
0.10744740068912506,
0.406026154756546,
0.38970834016799927,
-0.18061485886573792,
-0.1275581568479538,
0.025755705311894417,
0.09579324722290039,
0.3917337656021118,
0.6246488690376282,
0.04617830738425255,
-0.18961088359355927,
-0.2906067967414856,
-0.21935437619686127,
-0.2398291975259781,
0.09601426124572754,
0.40891221165657043,
0.009106487967073917,
0.10071638971567154,
-0.28545671701431274,
0.5554717779159546,
0.20811231434345245,
-0.3564368486404419,
0.5225518345832825,
-0.0035547157749533653,
-0.2918550372123718,
0.11549641191959381,
-0.051186658442020416,
1.116386890411377,
0.29423409700393677,
0.4239662289619446,
0.36085981130599976,
-0.2088661640882492,
0.09465114772319794,
0.11679045855998993,
0.17522218823432922,
-0.46067366003990173,
-0.02153204195201397,
-0.01903378963470459,
-0.33305877447128296,
0.23627984523773193,
-0.03546988591551781,
-0.09988705068826675,
0.40644270181655884,
-0.04007881507277489,
0.35672709345817566,
0.1936497688293457,
0.1573721468448639,
-0.2964204251766205,
0.02826472744345665,
0.02614477276802063,
-0.04065537452697754,
0.2072831243276596,
0.45894956588745117,
-0.16293075680732727,
0.03178030252456665,
-0.2632966637611389,
-0.0773332342505455,
-0.03073139302432537,
-0.07309716194868088,
-0.13402125239372253,
0.07461783289909363,
0.022244365885853767,
-0.2519102394580841,
-0.2052021622657776,
0.3793676197528839,
0.19289584457874298,
-0.22925761342048645,
0.022600343450903893,
0.1731870472431183,
-0.1718834787607193,
0.3654879927635193,
0.35210564732551575,
-0.04134286195039749,
0.30463114380836487,
-0.13484010100364685,
-0.13243763148784637,
0.1016063392162323,
-0.2835322916507721,
-0.1992294192314148,
-0.24217508733272552,
-0.09257854521274567,
0.22591644525527954,
-0.32463282346725464,
-0.148344025015831,
-0.14957794547080994,
-0.08646150678396225,
-0.1007794514298439,
-0.0521918348968029,
0.1412244439125061,
-0.2876558303833008,
0.010073249228298664,
-0.26084986329078674,
-0.428896963596344,
-0.0010189249878749251,
0.5187016129493713,
-0.12068388611078262,
-0.05585877224802971,
0.892748236656189,
-0.2553897798061371,
0.07004021853208542,
0.03783545643091202,
0.16071435809135437,
-0.22212928533554077,
-0.265175998210907,
0.06714978814125061,
-0.18132200837135315,
-0.24391566216945648,
0.021687224507331848,
0.5689194202423096,
0.32607439160346985,
0.08179080486297607,
-0.3220895528793335,
-0.4693025052547455,
-0.24841569364070892,
0.006860856898128986,
-0.1358155906200409,
0.18076550960540771,
-0.20048187673091888,
0.028380583971738815,
0.1821313500404358,
-0.11743483692407608,
-0.1076882854104042,
-0.019981030374765396,
0.11945271492004395,
0.22964152693748474,
-0.15153925120830536,
0.051610566675662994,
0.0627187192440033,
0.03995991498231888,
-0.08371757715940475,
0.10385262966156006,
-0.2190840244293213,
0.05673457682132721,
-0.08646614849567413,
0.26456212997436523,
0.02870079316198826,
0.004550865851342678,
0.006185547914355993,
-0.32587912678718567,
0.13018324971199036,
0.06811761111021042,
-0.02315836027264595,
0.02889181300997734,
-0.05095072090625763,
0.04266951233148575,
0.3008274734020233,
0.06145782396197319,
0.029404964298009872,
0.3885272145271301,
0.05780895799398422,
0.2583296597003937,
-0.18535061180591583,
0.21913109719753265,
-0.2305953949689865,
0.02076648361980915,
0.0404154472053051,
0.10006552189588547,
-0.018764376640319824,
0.20925186574459076,
0.13397341966629028,
-0.18022216856479645,
0.1182854175567627,
-0.10023893415927887,
0.3639490008354187,
0.9179773926734924,
-0.1468939185142517,
-0.23009653389453888,
0.4129926860332489,
-0.09078697860240936,
-0.05701108276844025,
-0.12697483599185944,
0.07886938750743866,
0.13585904240608215,
-0.05844656005501747,
0.3512895405292511,
-0.05280698835849762,
-0.11743787676095963,
0.347430944442749,
0.21134482324123383,
0.20100295543670654,
-0.23741601407527924,
-0.10164026916027069,
0.40461286902427673,
-0.3055979907512665,
0.4028892517089844,
0.47488725185394287,
0.06230880692601204,
0.20035035908222198,
0.3251497745513916,
0.08612222969532013,
0.5218536853790283,
-0.14537419378757477,
-0.02890690788626671,
0.1209086924791336,
-0.10828809440135956,
-0.029848983511328697,
0.2552216351032257,
-0.005975879728794098,
0.044362086802721024,
0.3560176491737366,
0.5558944940567017,
-0.4765012264251709,
-0.10528762638568878,
-0.2333439737558365,
-0.13780564069747925,
0.016764096915721893,
-0.2931417226791382,
-0.21884974837303162,
-0.03580266237258911,
-0.1372567117214203,
-0.03259814903140068,
-0.198746457695961,
-0.19986848533153534,
0.2898297905921936,
0.05615820363163948,
-0.2658575773239136,
-0.2286197394132614,
-0.36382439732551575,
0.019897669553756714,
0.03998113423585892,
-0.34758326411247253,
0.2545582056045532,
-0.0002545866882428527,
0.1358792930841446,
0.297561377286911,
0.13145600259304047,
0.4875794053077698,
0.1934376358985901,
-0.26962271332740784,
-0.2617157995700836,
-0.28797075152397156,
-0.0018293434986844659,
-0.07789882272481918,
0.3554931581020355,
-0.029869375750422478,
-0.09149397909641266,
0.3583313524723053,
-0.01570928283035755,
-0.005666935816407204,
0.22060039639472961,
0.4076077938079834,
-0.2764085829257965,
-0.14980651438236237,
0.809942901134491,
-0.24034632742404938,
-0.21010591089725494,
-0.07573114335536957,
0.03368818014860153,
-0.45921432971954346,
0.12718051671981812,
0.011043453589081764,
-0.14476582407951355,
0.18752117455005646,
0.11137890815734863,
-0.03916383907198906,
-0.09055349975824356,
0.34214919805526733,
0.40220606327056885,
-0.1118350699543953,
-0.3300431966781616,
-0.19953051209449768,
-0.8534030318260193,
0.26502713561058044,
-0.05009095370769501,
-0.14365620911121368,
-0.20968376100063324,
-0.07952242344617844,
0.2140342891216278,
-0.017104899510741234,
-0.11020050942897797,
0.11080669611692429,
0.05849318951368332,
0.18325722217559814,
-0.3073976933956146,
-0.3775627315044403,
-0.1809948980808258,
0.0396498367190361,
-0.00847720168530941,
-0.5915565490722656,
0.1994027942419052,
-0.4175170063972473,
-0.15232014656066895,
0.1619682013988495,
-0.07171478867530823,
0.3689963221549988,
0.20901578664779663,
0.3645205795764923,
-0.1086045429110527,
0.6161584258079529,
0.1779768317937851,
-0.14680612087249756,
-0.2628197968006134,
0.057859212160110474,
-0.09725794941186905,
0.01836315542459488,
-0.08927494287490845,
0.17368924617767334,
-0.32428979873657227,
0.4118088185787201,
-0.37827664613723755,
0.22013387084007263,
0.08509625494480133,
-0.0034848612267524004,
-0.22224700450897217,
0.18447351455688477,
-0.35889050364494324,
0.17099454998970032,
0.3244397044181824,
0.32722944021224976,
0.04074619710445404,
0.32959210872650146,
-0.30356165766716003,
-0.2424767166376114,
0.6405372619628906,
-0.09905644506216049,
-0.1643476039171219,
0.1367870718240738,
0.29454505443573,
-0.011158742941915989,
-0.27710673213005066,
-0.5036941766738892,
0.17269277572631836,
0.2413635104894638,
0.06933792680501938,
0.024125991389155388,
0.051933690905570984,
0.2529212534427643,
0.017192360013723373,
-0.06566262990236282,
0.9180793762207031,
0.031080404296517372,
0.07061309367418289,
0.09902886301279068,
-0.20347800850868225
] |
https://github.com/huggingface/datasets/issues/161 | Discussion on version identifier & MockDataLoaderManager for test data | From what I can tell here: https://github.com/huggingface/nlp/blob/master/tests/utils.py#L115
1. `data_url` is the correct http link
2. `path_to_dummy_data` is a directory, which is causing the issue
That path comes from `download_dummy_data`, which I think assumes that the data comes from the zip file, but isn't aware of individual files. So it seems like it data manager needs to be aware if the url its getting is for a file or a zip/directory, and pass this information along. This might happen in `download_dummy_data`, but probably better to happen in `download_and_extract`? Maybe a simple check to see if `os.path.basename` returns the dummy data zip filename, if not then join paths with the basename of the url? | Hi, I'm working on adding a dataset and ran into an error due to `download` not being defined on `MockDataLoaderManager`, but being defined in `nlp/utils/download_manager.py`. The readme step running this: `RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_dataset_localmydatasetname` triggers the error. If I can get something to work, I can include it in my data PR once I'm done. | 112 | Discussion on version identifier & MockDataLoaderManager for test data
Hi, I'm working on adding a dataset and ran into an error due to `download` not being defined on `MockDataLoaderManager`, but being defined in `nlp/utils/download_manager.py`. The readme step running this: `RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_dataset_localmydatasetname` triggers the error. If I can get something to work, I can include it in my data PR once I'm done.
From what I can tell here: https://github.com/huggingface/nlp/blob/master/tests/utils.py#L115
1. `data_url` is the correct http link
2. `path_to_dummy_data` is a directory, which is causing the issue
That path comes from `download_dummy_data`, which I think assumes that the data comes from the zip file, but isn't aware of individual files. So it seems like it data manager needs to be aware if the url its getting is for a file or a zip/directory, and pass this information along. This might happen in `download_dummy_data`, but probably better to happen in `download_and_extract`? Maybe a simple check to see if `os.path.basename` returns the dummy data zip filename, if not then join paths with the basename of the url? | [
-0.0789022222161293,
0.2855135500431061,
0.0002483105636201799,
0.052754513919353485,
0.05063500627875328,
-0.26075419783592224,
0.2143820822238922,
0.27597543597221375,
-0.054034050554037094,
0.08017387241125107,
0.2072281539440155,
0.22357366979122162,
-0.22146843373775482,
-0.03458164632320404,
0.12442849576473236,
0.054476719349622726,
-0.10658448934555054,
0.08478714525699615,
-0.22504183650016785,
0.1550334095954895,
-0.24932251870632172,
0.17533212900161743,
0.0034216304775327444,
0.16723036766052246,
0.015414005145430565,
0.14610615372657776,
-0.2237706482410431,
0.20182101428508759,
-0.41943100094795227,
-0.7930225133895874,
0.3121372163295746,
0.030213430523872375,
0.23527787625789642,
0.3840053677558899,
-0.00012361556582618505,
-0.09185260534286499,
0.5897997617721558,
-0.1559889018535614,
-0.733406126499176,
-0.42152395844459534,
0.24337336421012878,
-0.5072749257087708,
0.27730104327201843,
-0.15510261058807373,
0.185713529586792,
-0.06349404901266098,
0.29818055033683777,
0.2096101939678192,
0.18837369978427887,
0.4003964364528656,
0.07241325825452805,
0.30033037066459656,
0.0519985631108284,
-0.11268042027950287,
0.0085213677957654,
0.17452716827392578,
-0.05216129869222641,
0.5873820781707764,
0.20252344012260437,
0.07431633025407791,
-0.15627051889896393,
-0.07906906306743622,
0.10531989485025406,
0.5026988983154297,
0.15227755904197693,
0.06298036873340607,
0.39901256561279297,
0.046528689563274384,
-0.26758721470832825,
0.08663015067577362,
0.6675561666488647,
-0.5247458219528198,
-0.3587069809436798,
-0.07098479568958282,
-0.07901224493980408,
-0.057430826127529144,
0.38079017400741577,
-0.1414194107055664,
-0.41265881061553955,
0.09209899604320526,
-0.10645019263029099,
-0.1712895631790161,
-0.031994882971048355,
0.3967050015926361,
-0.29836466908454895,
0.4051719903945923,
-0.018465658649802208,
0.16227851808071136,
0.1562567800283432,
0.05911758914589882,
0.25665122270584106,
-0.17506061494350433,
0.17345483601093292,
0.18063035607337952,
0.10605955868959427,
-0.20942452549934387,
-0.2895835340023041,
-0.2742269039154053,
0.14529183506965637,
0.11145263910293579,
-0.30826324224472046,
-0.19240978360176086,
-0.06261337548494339,
0.22528623044490814,
0.23071354627609253,
0.32411637902259827,
0.17963629961013794,
0.26923829317092896,
0.2589324116706848,
0.30538997054100037,
0.27003729343414307,
0.16195186972618103,
0.007208426017314196,
-0.33093082904815674,
-0.12101900577545166,
0.1566588133573532,
0.20481820404529572,
-0.21207603812217712,
-0.19729726016521454,
-0.24859660863876343,
-0.4048672020435333,
-0.12655924260616302,
-0.0687747597694397,
0.3116096556186676,
-0.19009633362293243,
-0.10306048393249512,
0.09242883324623108,
0.3832481801509857,
-0.1280384510755539,
-0.07070978730916977,
0.028685620054602623,
0.04314412176609039,
-0.24823282659053802,
0.028636638075113297,
0.29634830355644226,
0.2202128767967224,
0.4854152500629425,
-0.29047390818595886,
-0.16111810505390167,
-0.05845450237393379,
0.12964653968811035,
0.0434606596827507,
-0.04721199348568916,
0.21914850175380707,
-0.0758894607424736,
0.18278968334197998,
0.09156704694032669,
-0.3037325143814087,
-0.2998290956020355,
0.17252498865127563,
-0.07228994369506836,
-0.40235960483551025,
0.10723482817411423,
0.06545607000589371,
-0.5473222732543945,
0.021734042093157768,
0.09589525312185287,
-0.16957278549671173,
-0.05753936246037483,
-0.35714277625083923,
0.047964971512556076,
-0.23688282072544098,
-0.25407907366752625,
-0.15955165028572083,
-0.013157341629266739,
0.33312276005744934,
-0.1687350571155548,
-0.3116174638271332,
-0.4004591405391693,
-0.2978602647781372,
0.21164411306381226,
-0.19554123282432556,
-0.11783377826213837,
0.27287039160728455,
-0.4967011511325836,
0.06526059657335281,
0.616349458694458,
-0.4722347557544708,
-0.29971927404403687,
0.5806676745414734,
-0.4525260329246521,
-0.06820087879896164,
0.26381388306617737,
-0.036954596638679504,
-0.22122466564178467,
-0.29773959517478943,
-0.08449303358793259,
0.13490669429302216,
0.026060326024889946,
-0.15002338588237762,
-0.19787006080150604,
-0.3536165654659271,
0.14594636857509613,
0.2388366460800171,
-0.08798076212406158,
0.09268982708454132,
0.053085122257471085,
-0.07039486616849899,
0.4528980255126953,
0.10668645054101944,
0.06376843899488449,
-0.061137739568948746,
0.12078879773616791,
-0.19682006537914276,
-0.10716619342565536,
0.02618851140141487,
-0.584591269493103,
0.1251315325498581,
-0.31481266021728516,
0.19763067364692688,
-0.18850234150886536,
-0.07421603053808212,
-0.5055438280105591,
-0.018278859555721283,
0.02284945361316204,
-0.2564983665943146,
0.009734151884913445,
0.3550093173980713,
0.09080639481544495,
-0.049176380038261414,
0.032250527292490005,
0.015585353597998619,
-0.2026490569114685,
0.2942970395088196,
-0.010931855998933315,
0.06413038820028305,
-0.0877615436911583,
0.11537972092628479,
0.2468138188123703,
0.25044649839401245,
0.16801969707012177,
-0.4039676785469055,
0.03068997897207737,
0.31766217947006226,
0.19105173647403717,
0.1839984655380249,
0.20126739144325256,
-0.06688758730888367,
0.16839489340782166,
0.19110065698623657,
0.08350783586502075,
0.469428151845932,
0.04755910485982895,
-0.1295865774154663,
0.045802041888237,
0.20797240734100342,
0.15497945249080658,
-0.0021297389175742865,
-0.07428152114152908,
0.07928746193647385,
0.3448399305343628,
0.022174596786499023,
-0.10134491324424744,
-0.25451725721359253,
0.10405268520116806,
0.334933876991272,
0.6334263682365417,
-0.006708168890327215,
0.2735133171081543,
-0.10973963141441345,
-0.14043645560741425,
-0.31091761589050293,
0.04697315767407417,
0.14044471085071564,
-0.18512596189975739,
-0.1090434119105339,
0.0009037916315719485,
0.37554657459259033,
0.8084438443183899,
-0.008676969446241856,
0.33784976601600647,
0.09863545745611191,
-0.16344335675239563,
-0.2317848652601242,
0.24697187542915344,
0.17262277007102966,
-0.09168841689825058,
0.1258706897497177,
-0.15991592407226562,
-0.3018525540828705,
-0.14503882825374603,
0.01993461884558201,
0.42337384819984436,
0.31813207268714905,
-0.4547550678253174,
-0.05683939903974533,
-0.29740631580352783,
-0.5187105536460876,
-0.505165159702301,
-0.31656894087791443,
-0.2091602087020874,
-0.3562687039375305,
-0.05608263984322548,
0.2834823727607727,
-0.13092882931232452,
0.16682440042495728,
-0.11503655463457108,
0.2502075433731079,
-0.32945579290390015,
-0.3059852421283722,
0.05414053052663803,
-0.09253250062465668,
-0.43069520592689514,
0.0013973088935017586,
0.4053304195404053,
0.09085558354854584,
0.2507198750972748,
-0.2317570000886917,
-0.20343612134456635,
-0.2620779871940613,
-0.27703630924224854,
0.13477826118469238,
0.1804632693529129,
0.556559145450592,
0.44621336460113525,
-0.0005815006443299353,
0.4154551327228546,
0.023447010666131973,
0.02131885476410389,
-0.17712309956550598,
-0.35947850346565247,
-0.16657471656799316,
0.11461679637432098,
0.11637794226408005,
-0.17482411861419678,
-0.43526527285575867,
-0.5285279154777527,
-0.05853009968996048,
0.029240572825074196,
0.08637480437755585,
0.15409362316131592,
0.09188555181026459,
-0.17155207693576813,
0.18889738619327545,
0.04282142594456673,
-0.1449870467185974,
-0.15512122213840485,
-0.07492940127849579,
0.026332752779126167,
-0.14079636335372925,
-0.17391948401927948,
0.008674937300384045,
-0.20956028997898102,
0.0579383485019207,
-0.16223223507404327,
-0.40622448921203613,
-0.5565921068191528,
0.14096739888191223,
0.18127037584781647,
0.2534227967262268,
-0.15074796974658966,
0.37731117010116577,
0.18244048953056335,
0.09180473536252975,
-0.13267122209072113,
-0.3363354206085205,
0.24598202109336853,
0.10700111091136932,
0.4016033113002777,
0.20600558817386627,
0.29570287466049194,
-0.026322178542613983,
0.7256444096565247,
0.14918753504753113,
-0.07229521125555038,
0.09984976798295975,
-0.1860620379447937,
0.10383355617523193,
0.15628500282764435,
0.005900978576391935,
0.18452078104019165,
-0.15817278623580933,
-0.26709139347076416,
0.3186193108558655,
-0.19768159091472626,
-0.04666381701827049,
-0.11971629410982132,
0.2846118211746216,
-0.2596028745174408,
-0.12736397981643677,
0.12735626101493835,
-0.058602143079042435,
-0.04352840781211853,
0.0980662927031517,
-0.04892680421471596,
-0.16124743223190308,
-0.061358433216810226,
0.12111463397741318,
0.35151761770248413,
0.03328762203454971,
0.14570894837379456,
-0.31239357590675354,
-0.04856174811720848,
-0.3304588496685028,
0.28733181953430176,
0.3822648525238037,
0.429167777299881,
0.058980636298656464,
0.013043485581874847,
0.09527906775474548,
0.0012859517009928823,
0.2868996262550354,
0.019052233546972275,
0.15850690007209778,
0.13101881742477417,
-0.1548554003238678,
0.024731826037168503,
-0.1552332192659378,
-0.09564229100942612,
0.09846913814544678,
0.007518771570175886,
0.1507926732301712,
-0.4683268070220947,
-0.13879454135894775,
0.19019144773483276,
0.11471991240978241,
-0.05802200362086296,
-0.22207719087600708,
-0.01593109220266342,
-0.12120797485113144,
-0.04730689153075218,
-0.22213192284107208,
-0.14633320271968842,
-0.009873436763882637,
-0.10142938792705536,
0.29026535153388977,
0.07743453979492188,
-0.1481546014547348,
-0.014837699942290783,
0.08857018500566483,
0.20450171828269958,
-0.3280981779098511,
0.11342311650514603,
0.2718532979488373,
0.19918011128902435,
0.2238493263721466,
0.40062472224235535,
-0.10000602900981903,
-0.21022146940231323,
0.033992569893598557,
0.05974142998456955,
0.32148364186286926,
0.4006623327732086,
0.1043480858206749,
-0.03905968368053436,
-0.25136008858680725,
-0.1566224992275238,
-0.3356702923774719,
0.22357909381389618,
0.4120945930480957,
-0.10309459269046783,
0.14459405839443207,
-0.22911995649337769,
0.6646540760993958,
0.13159412145614624,
-0.2383851855993271,
0.5089074373245239,
-0.2838892340660095,
-0.28065967559814453,
-0.07736483216285706,
0.04677686095237732,
1.0281774997711182,
0.2466937005519867,
0.2519371807575226,
0.4927612543106079,
-0.26039817929267883,
0.2928633987903595,
0.06944647431373596,
0.09858231246471405,
-0.43218106031417847,
0.01908154785633087,
-0.06405003368854523,
-0.20192989706993103,
0.2541379928588867,
0.032369282096624374,
-0.23340952396392822,
0.3385883867740631,
0.13275602459907532,
0.38943061232566833,
0.2429599016904831,
0.40020880103111267,
-0.24319526553153992,
-0.021532300859689713,
-0.23148714005947113,
0.04449529945850372,
-0.029153671115636826,
0.35789671540260315,
-0.2018134593963623,
-0.08174549788236618,
-0.20169273018836975,
-0.1322373002767563,
-0.0011775937164202332,
-0.08184593915939331,
-0.39228355884552,
0.028829623013734818,
0.06671217083930969,
-0.10534287989139557,
-0.2333947718143463,
0.2026786059141159,
0.1094043031334877,
-0.2765067219734192,
-0.13125458359718323,
0.14214494824409485,
-0.3156772553920746,
0.258056104183197,
0.3230246305465698,
-0.006119485013186932,
0.2491149604320526,
-0.3315944969654083,
-0.026277165859937668,
0.07291943579912186,
-0.3236355185508728,
-0.19239948689937592,
0.07747034728527069,
-0.21757853031158447,
0.07555178552865982,
-0.3103995621204376,
-0.2757737338542938,
-0.1316888928413391,
-0.08827850222587585,
-0.11784443259239197,
-0.004206841345876455,
0.2224298119544983,
-0.35297083854675293,
-0.07808355987071991,
-0.06195734068751335,
-0.2608759105205536,
-0.005462296307086945,
0.415506511926651,
-0.2048802226781845,
-0.0484173521399498,
0.6307445168495178,
-0.4179270267486572,
0.09337016195058823,
-0.07985346764326096,
0.13358965516090393,
-0.15759475529193878,
-0.11624132096767426,
0.05989929661154747,
-0.08218081295490265,
-0.31458526849746704,
-0.05027579888701439,
0.5699491500854492,
0.4229191839694977,
0.1599038541316986,
-0.18029342591762543,
-0.49785053730010986,
-0.30219748616218567,
0.040707625448703766,
-0.19161413609981537,
0.1929023116827011,
-0.08632427453994751,
0.21488751471042633,
0.23817569017410278,
0.000838355568703264,
-0.17753930389881134,
-0.11061987280845642,
-0.04482254013419151,
0.18705309927463531,
-0.1764596700668335,
0.028116866946220398,
0.08777710050344467,
0.11093784868717194,
-0.05144145339727402,
0.07127979397773743,
-0.2663798928260803,
-0.03337715193629265,
-0.10417533665895462,
0.22602683305740356,
0.15439268946647644,
-0.07422839850187302,
0.1739836484193802,
-0.14891104400157928,
0.028481382876634598,
0.15573978424072266,
-0.1324017345905304,
-0.05118018761277199,
-0.030449405312538147,
0.11647015064954758,
0.23405690491199493,
0.04433029145002365,
-0.20257124304771423,
0.28245559334754944,
-0.00937894731760025,
0.15508610010147095,
-0.09460033476352692,
0.20901910960674286,
-0.3223201632499695,
0.031602002680301666,
0.17144295573234558,
0.09846854209899902,
-0.06700091809034348,
0.2769375741481781,
0.13658596575260162,
0.0017012528842315078,
0.002458317670971155,
-0.04743044078350067,
0.3074745237827301,
0.7473391890525818,
-0.20278292894363403,
-0.1288806051015854,
0.4639030396938324,
-0.0035370169207453728,
-0.21185457706451416,
0.06120771914720535,
0.19137926399707794,
0.004371054470539093,
0.07066086679697037,
0.25566205382347107,
0.04539069905877113,
0.0798012912273407,
0.2536444664001465,
0.056786663830280304,
0.15905019640922546,
-0.06254497915506363,
-0.055671196430921555,
0.5163024663925171,
-0.24758462607860565,
0.3452170789241791,
0.34482479095458984,
-0.026771580800414085,
0.3172127902507782,
0.04373566061258316,
-0.022251535207033157,
0.5483084321022034,
-0.005632856860756874,
0.007813177071511745,
0.12488177418708801,
0.007366970181465149,
-0.10260342061519623,
0.2061542123556137,
0.0983365848660469,
0.050279516726732254,
0.25428202748298645,
0.6443095803260803,
-0.5301638245582581,
-0.19425928592681885,
-0.26956501603126526,
-0.09844537824392319,
0.08751735836267471,
-0.11784806847572327,
-0.45354050397872925,
-0.008799362927675247,
-0.3257638216018677,
-0.14106613397598267,
-0.13782061636447906,
-0.344389945268631,
0.2559642791748047,
0.003879806725308299,
-0.34121793508529663,
-0.2516854405403137,
-0.43340250849723816,
0.13744859397411346,
-0.04456023499369621,
-0.3266587555408478,
0.2011280357837677,
0.03343760594725609,
0.03124566376209259,
0.2748129665851593,
0.299069344997406,
0.4600577652454376,
0.07712940126657486,
-0.28695231676101685,
-0.3478586673736572,
-0.19405217468738556,
0.07553885132074356,
-0.07693608105182648,
0.29652073979377747,
0.006351418327540159,
-0.16871340572834015,
0.5234033465385437,
0.04897015169262886,
0.015593276359140873,
0.21652823686599731,
0.42398372292518616,
-0.4900086522102356,
-0.14891774952411652,
0.7677967548370361,
-0.07951367646455765,
-0.08629471808671951,
-0.05311258137226105,
-0.01245995331555605,
-0.2715529203414917,
0.06506989151239395,
-0.10145223140716553,
-0.13405363261699677,
0.22263292968273163,
0.12485460937023163,
0.026110278442502022,
-0.05931299179792404,
0.29370978474617004,
0.36874935030937195,
-0.1291070431470871,
-0.40220576524734497,
-0.2841157615184784,
-0.973096489906311,
0.07774326205253601,
0.019219042733311653,
-0.3939654529094696,
-0.0716053918004036,
-0.2766568064689636,
0.21714988350868225,
0.11051171272993088,
-0.21781666576862335,
0.20729738473892212,
0.24071747064590454,
0.045983269810676575,
-0.2624927759170532,
-0.31379956007003784,
-0.24278892576694489,
0.03638782352209091,
-0.04189537093043327,
-0.4255925416946411,
0.11773139238357544,
-0.22743502259254456,
-0.14005208015441895,
0.28931474685668945,
-0.040745142847299576,
0.3404310941696167,
0.07629331946372986,
0.28897297382354736,
-0.07201764732599258,
0.6170154809951782,
0.10390680283308029,
0.010897784493863583,
-0.11753727495670319,
0.21040000021457672,
-0.1169169694185257,
0.06729249656200409,
-0.07970187813043594,
0.20908226072788239,
-0.18039101362228394,
0.6635027527809143,
-0.5068441033363342,
0.4374552369117737,
0.04022597149014473,
0.08135387301445007,
-0.2613564431667328,
0.10217373818159103,
-0.3644089102745056,
0.13158933818340302,
0.35818013548851013,
0.28291061520576477,
-0.12177609652280807,
0.30615150928497314,
-0.1378706693649292,
-0.19781377911567688,
0.39826470613479614,
-0.12612152099609375,
-0.04153181239962578,
0.04978022351861,
0.2727917730808258,
-0.09282983839511871,
-0.061109475791454315,
-0.4452346861362457,
0.05422221124172211,
0.27372869849205017,
0.029210742563009262,
0.11292879283428192,
0.09593425691127777,
0.15679368376731873,
0.11953683942556381,
-0.0622406080365181,
0.874388575553894,
0.04461171105504036,
0.01759820617735386,
0.0011316887103021145,
-0.24424117803573608
] |
https://github.com/huggingface/datasets/issues/161 | Discussion on version identifier & MockDataLoaderManager for test data | I think the dataset script works correctly. Just the dummy data structure seems to be wrong. I will soon add more commands that should make the create of the dummy data easier.
I'd recommend that you won't concentrate too much on the dummy data.
If you manage to load the dataset correctly via:
```python
# use local path to qanta
nlp.load_dataset("./datasets/qanta")
```
then feel free to open a PR and we will look into the dummy data problem together :-)
Also please make sure that the Version is in the format 1.0.0 (three numbers separated by two points) - not a date. | Hi, I'm working on adding a dataset and ran into an error due to `download` not being defined on `MockDataLoaderManager`, but being defined in `nlp/utils/download_manager.py`. The readme step running this: `RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_dataset_localmydatasetname` triggers the error. If I can get something to work, I can include it in my data PR once I'm done. | 102 | Discussion on version identifier & MockDataLoaderManager for test data
Hi, I'm working on adding a dataset and ran into an error due to `download` not being defined on `MockDataLoaderManager`, but being defined in `nlp/utils/download_manager.py`. The readme step running this: `RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_dataset_localmydatasetname` triggers the error. If I can get something to work, I can include it in my data PR once I'm done.
I think the dataset script works correctly. Just the dummy data structure seems to be wrong. I will soon add more commands that should make the create of the dummy data easier.
I'd recommend that you won't concentrate too much on the dummy data.
If you manage to load the dataset correctly via:
```python
# use local path to qanta
nlp.load_dataset("./datasets/qanta")
```
then feel free to open a PR and we will look into the dummy data problem together :-)
Also please make sure that the Version is in the format 1.0.0 (three numbers separated by two points) - not a date. | [
-0.1612340807914734,
0.2551889419555664,
0.016922492533922195,
-0.06889186054468155,
-0.018732747063040733,
-0.0799422487616539,
0.40359100699424744,
0.33871883153915405,
0.07540542632341385,
0.048679303377866745,
0.19280578196048737,
0.11071784049272537,
-0.2993966341018677,
0.1028154045343399,
0.10059250146150589,
-0.11661358177661896,
0.022554408758878708,
0.22912083566188812,
-0.17938725650310516,
0.22091667354106903,
-0.2534818649291992,
0.10033542662858963,
-0.11082897335290909,
0.17837142944335938,
-0.01125146634876728,
0.15829160809516907,
-0.28702589869499207,
0.05930349975824356,
-0.33930858969688416,
-0.7205921411514282,
0.35619986057281494,
0.07208004593849182,
0.2591172456741333,
0.49416384100914,
-0.00012244142999406904,
-0.07432957738637924,
0.519700288772583,
-0.14471903443336487,
-0.675597608089447,
-0.23255538940429688,
0.24015609920024872,
-0.3556255102157593,
0.3359575867652893,
0.001461594714783132,
0.05675801634788513,
-0.22579772770404816,
0.247934952378273,
0.11201948672533035,
0.22972865402698517,
0.3637806475162506,
0.13691145181655884,
0.29282674193382263,
0.0548730231821537,
-0.12325616180896759,
-0.14173874258995056,
-0.01133990753442049,
-0.11851325631141663,
0.5441452264785767,
0.34197744727134705,
0.033158667385578156,
0.007737208157777786,
-0.05453261733055115,
0.08724608272314072,
0.3912864327430725,
0.19234435260295868,
0.00016575551126152277,
0.5235515832901001,
-0.04455576464533806,
-0.11648388206958771,
0.09077619016170502,
0.7365924715995789,
-0.5787573456764221,
-0.3857167065143585,
-0.00001732414966681972,
0.051615096628665924,
-0.11142732203006744,
0.17219942808151245,
-0.10055965185165405,
-0.2993268668651581,
0.05937664210796356,
-0.10987219214439392,
-0.2239535003900528,
-0.10024017095565796,
0.2735379934310913,
-0.21386946737766266,
0.2330450564622879,
0.060237735509872437,
0.22848187386989594,
0.0010027011157944798,
-0.10714861750602722,
0.19523288309574127,
-0.1300066113471985,
-0.05614889785647392,
0.26843056082725525,
-0.09157150983810425,
-0.18151718378067017,
-0.34438666701316833,
-0.16297675669193268,
0.13957522809505463,
-0.10119520872831345,
-0.31825608015060425,
-0.1162262111902237,
0.04142532870173454,
0.1830255538225174,
0.1564447432756424,
0.36657196283340454,
0.27113908529281616,
0.20313167572021484,
0.12128400057554245,
0.14138714969158173,
0.27186721563339233,
0.20314207673072815,
-0.0669591948390007,
-0.353377103805542,
-0.012509787455201149,
0.09310347586870193,
0.20516307651996613,
-0.2799246609210968,
-0.16182009875774384,
-0.21086379885673523,
-0.3621453642845154,
0.011534121818840504,
-0.12015778571367264,
0.32975876331329346,
-0.19222189486026764,
-0.18938478827476501,
0.07900389283895493,
0.5592824816703796,
-0.20093823969364166,
-0.2160234898328781,
-0.014422201551496983,
0.02494044043123722,
-0.21503886580467224,
-0.06536278873682022,
0.23748543858528137,
0.009568185545504093,
0.4028274118900299,
-0.25579291582107544,
-0.2903880178928375,
-0.0060512893833220005,
0.23149839043617249,
0.020161759108304977,
-0.19140666723251343,
0.25587910413742065,
-0.05009007453918457,
-0.024772901087999344,
0.10018858313560486,
-0.33269739151000977,
-0.22785723209381104,
0.2212532013654709,
0.10084784030914307,
-0.46670815348625183,
-0.2118014097213745,
0.09065297991037369,
-0.450385719537735,
0.021674595773220062,
0.017006613314151764,
-0.04640205204486847,
0.09855174273252487,
-0.3617475926876068,
-0.08257236331701279,
-0.4229152798652649,
-0.29159048199653625,
-0.11434746533632278,
-0.057408612221479416,
0.3280137777328491,
-0.43154069781303406,
-0.2729131281375885,
-0.4097929298877716,
-0.2997346818447113,
0.10333587974309921,
-0.26148882508277893,
-0.07541269809007645,
0.2706588804721832,
-0.39036861062049866,
-0.10745123028755188,
0.5073692798614502,
-0.5006061792373657,
-0.25220558047294617,
0.4450427293777466,
-0.39289534091949463,
-0.19235138595104218,
0.1796450912952423,
0.03588695824146271,
0.0022721029818058014,
-0.29832923412323,
-0.12099097669124603,
0.07886017858982086,
0.08520542085170746,
-0.13364578783512115,
-0.16009731590747833,
-0.3697935938835144,
0.13916604220867157,
0.270159512758255,
-0.08963329344987869,
0.12558989226818085,
0.021427547559142113,
-0.01105976477265358,
0.3364551067352295,
0.08014389127492905,
0.1863800436258316,
-0.08931367844343185,
0.11018522083759308,
-0.1883333921432495,
-0.0934508889913559,
-0.011489068157970905,
-0.6761333346366882,
0.21052990853786469,
-0.2046797275543213,
0.30025070905685425,
-0.014471063390374184,
0.03403763845562935,
-0.6020734310150146,
0.018951890990138054,
-0.08776872605085373,
-0.24328796565532684,
0.04227801039814949,
0.19854852557182312,
0.13480216264724731,
0.05541975051164627,
0.005590681917965412,
0.13680900633335114,
-0.1502520591020584,
0.2549869120121002,
-0.0785129964351654,
-0.0289891567081213,
-0.11474765092134476,
0.09138873219490051,
0.3021050691604614,
0.2819165885448456,
0.0884689912199974,
-0.3099202513694763,
0.052437443286180496,
0.2828422784805298,
0.2346714287996292,
0.14354713261127472,
0.20161665976047516,
-0.11179055273532867,
0.08561433106660843,
0.22560012340545654,
0.26149871945381165,
0.3159291744232178,
0.1025577187538147,
-0.21182097494602203,
-0.0016614483902230859,
0.24940180778503418,
0.2455371469259262,
-0.004479769617319107,
-0.2242424041032791,
0.05857342481613159,
0.29595938324928284,
0.1056823581457138,
-0.10605505108833313,
-0.31116771697998047,
0.0934353917837143,
0.3330495059490204,
0.5936198234558105,
-0.09914630651473999,
0.19831408560276031,
-0.035244639962911606,
-0.26504382491111755,
-0.3206389844417572,
0.11221975088119507,
0.1166355088353157,
-0.28330516815185547,
-0.10186287015676498,
0.032512109726667404,
0.27163201570510864,
0.8015950322151184,
-0.055095870047807693,
0.0596001073718071,
0.113706573843956,
-0.1535860002040863,
-0.19464103877544403,
0.19420111179351807,
0.10261213779449463,
-0.07959935069084167,
0.1113402247428894,
-0.04581394046545029,
-0.34773868322372437,
-0.03733552619814873,
-0.009879067540168762,
0.41767385601997375,
0.4067232310771942,
-0.40734076499938965,
-0.05698395147919655,
-0.15354447066783905,
-0.3752649426460266,
-0.3857831656932831,
-0.3960627019405365,
-0.20940040051937103,
-0.37914949655532837,
-0.061007946729660034,
0.3446575701236725,
0.018215902149677277,
0.2503041923046112,
-0.09401390701532364,
0.2637230455875397,
-0.20558682084083557,
-0.3096754848957062,
0.1600995808839798,
-0.1387047916650772,
-0.45876526832580566,
0.030165517702698708,
0.24290674924850464,
0.1665126234292984,
0.365800142288208,
-0.2689116299152374,
-0.21224702894687653,
-0.2011978179216385,
-0.3196375370025635,
0.14715693891048431,
-0.010631361976265907,
0.6500735878944397,
0.4507490396499634,
0.05853479728102684,
0.29792651534080505,
0.11121915280818939,
0.00396703602746129,
-0.13633912801742554,
-0.3817054331302643,
-0.08096275478601456,
-0.02113894373178482,
0.06345333904027939,
-0.11353909969329834,
-0.43938854336738586,
-0.5979087948799133,
-0.028065716847777367,
0.07417415827512741,
0.11462879925966263,
0.12124387919902802,
0.1300855576992035,
-0.015365725383162498,
0.18102000653743744,
0.031908612698316574,
-0.1962921917438507,
-0.19380247592926025,
0.053101543337106705,
0.08232861012220383,
-0.17546862363815308,
-0.2817414700984955,
0.1657278686761856,
-0.21765875816345215,
0.08913864195346832,
-0.26760897040367126,
-0.46371662616729736,
-0.46481844782829285,
0.24480992555618286,
0.16363143920898438,
0.3045330345630646,
-0.20452989637851715,
0.29216697812080383,
0.2518637478351593,
0.17327241599559784,
-0.12148860841989517,
-0.3563106060028076,
0.20366673171520233,
0.015651805326342583,
0.3223896026611328,
0.19924722611904144,
0.3970176875591278,
-0.2766503691673279,
0.7669876217842102,
0.1820708066225052,
-0.08122323453426361,
-0.03907862305641174,
-0.21187689900398254,
0.09913432598114014,
-0.0870857685804367,
-0.05764676630496979,
0.23883303999900818,
-0.13823354244232178,
-0.20207838714122772,
0.3131054639816284,
-0.17024505138397217,
-0.00924388226121664,
-0.12770049273967743,
0.23863403499126434,
-0.11140123754739761,
-0.0631123036146164,
0.05957996845245361,
-0.16654394567012787,
0.03780478984117508,
0.09868120402097702,
-0.014955833554267883,
-0.2617679834365845,
-0.19446423649787903,
-0.05254652351140976,
0.3353537321090698,
0.00215329322963953,
0.11820770055055618,
-0.3188008666038513,
0.011236878111958504,
-0.4265466034412384,
0.2786065638065338,
0.2302430123090744,
0.5973353385925293,
0.12704825401306152,
0.08186463266611099,
0.10293969511985779,
0.10305596888065338,
0.2114655077457428,
-0.007445040624588728,
0.09969300031661987,
0.21199876070022583,
-0.0997578576207161,
-0.21547380089759827,
-0.24166694283485413,
-0.08823610097169876,
0.1525653749704361,
-0.04120707884430885,
0.12435618788003922,
-0.42245280742645264,
-0.06276505440473557,
0.23153835535049438,
0.19613608717918396,
-0.18541748821735382,
-0.301469087600708,
-0.19508272409439087,
-0.013291374780237675,
-0.10633982717990875,
-0.22760526835918427,
-0.23696103692054749,
0.07546506077051163,
-0.19839756190776825,
0.43460142612457275,
0.026548009365797043,
-0.09503401070833206,
-0.009466934017837048,
0.22040188312530518,
0.21856385469436646,
-0.22556531429290771,
0.3471059203147888,
0.21265459060668945,
0.04422289878129959,
0.19378294050693512,
0.27334198355674744,
0.04669957980513573,
-0.26991793513298035,
0.07171909511089325,
-0.05596551299095154,
0.38829565048217773,
0.23094025254249573,
0.07861863821744919,
-0.000054226482461672276,
-0.22865766286849976,
-0.15552133321762085,
-0.26685723662376404,
0.1135370135307312,
0.3650880753993988,
-0.012089106254279613,
-0.057567473500967026,
-0.32377952337265015,
0.5772800445556641,
0.12792934477329254,
-0.22235459089279175,
0.3620983362197876,
-0.22821210324764252,
-0.23417429625988007,
0.1770772933959961,
0.0581519789993763,
0.892177939414978,
0.16323056817054749,
0.2606757879257202,
0.49016788601875305,
-0.22215138375759125,
0.35116279125213623,
0.21474812924861908,
0.11312031000852585,
-0.6522515416145325,
-0.002710633911192417,
0.03967898339033127,
-0.1463421881198883,
0.21416518092155457,
-0.14346659183502197,
-0.3366466462612152,
0.3871503174304962,
0.004389860201627016,
0.2776869833469391,
0.2860882580280304,
0.310657799243927,
-0.17871209979057312,
-0.027079835534095764,
-0.1167604997754097,
0.08298254013061523,
-0.08146379142999649,
0.37291330099105835,
-0.23302648961544037,
-0.0751851350069046,
-0.2692853808403015,
-0.06246271729469299,
-0.19180411100387573,
-0.13464787602424622,
-0.16934482753276825,
-0.052010249346494675,
0.11992678046226501,
-0.11077151447534561,
-0.041967377066612244,
0.2312595248222351,
0.24265508353710175,
-0.14473354816436768,
-0.22735688090324402,
0.05623307824134827,
-0.26526400446891785,
0.075464628636837,
0.3290461003780365,
0.06114033982157707,
0.250312864780426,
-0.2712115943431854,
-0.17359286546707153,
0.10917025804519653,
-0.24852506816387177,
-0.0686345025897026,
-0.14945879578590393,
-0.20029316842556,
0.1652701199054718,
-0.30027487874031067,
-0.3457494378089905,
-0.1171412244439125,
-0.04909711331129074,
-0.09219115227460861,
0.028591465204954147,
0.22841808199882507,
-0.3406800925731659,
-0.005800157785415649,
-0.11406505852937698,
-0.26731932163238525,
-0.02843252755701542,
0.4541560411453247,
-0.029473118484020233,
-0.013765047304332256,
0.8067975044250488,
-0.09696414321660995,
0.15098273754119873,
-0.1248982697725296,
0.064055435359478,
-0.0021404135040938854,
-0.20873437821865082,
0.007498104125261307,
-0.07276108115911484,
-0.30545729398727417,
0.06333990395069122,
0.6002620458602905,
0.3502776622772217,
-0.006405347026884556,
-0.01581365242600441,
-0.5503167510032654,
-0.4705413281917572,
-0.01743685081601143,
-0.13372249901294708,
0.10882771760225296,
-0.09000879526138306,
0.19828666746616364,
0.2599766254425049,
0.030202098190784454,
-0.20928721129894257,
-0.13878823816776276,
-0.02385501191020012,
0.19493116438388824,
-0.15603125095367432,
0.015625176951289177,
0.04091312363743782,
0.10925984382629395,
-0.015660665929317474,
0.016997870057821274,
-0.39186638593673706,
-0.07138147950172424,
-0.10062667727470398,
0.20227815210819244,
0.1108470931649208,
-0.11428556591272354,
0.0633029192686081,
-0.1228523701429367,
-0.11143874377012253,
0.19947609305381775,
-0.09420663863420486,
0.017175618559122086,
-0.10651464760303497,
0.18531425297260284,
0.3287239670753479,
0.05133923143148422,
-0.0904780924320221,
0.2512056231498718,
0.10262160003185272,
0.18970070779323578,
-0.11579400300979614,
0.21868319809436798,
-0.25777673721313477,
0.04440510272979736,
0.12394825369119644,
0.13644693791866302,
-0.06430789828300476,
0.31939226388931274,
0.1831648051738739,
-0.14177611470222473,
0.14575496315956116,
-0.12332583218812943,
0.3411400616168976,
0.7627298831939697,
-0.2596038281917572,
-0.16030241549015045,
0.4350282847881317,
0.04208822548389435,
-0.23856425285339355,
0.005389446392655373,
0.20815496146678925,
0.10267157852649689,
0.053421713411808014,
0.2619725167751312,
0.05471424385905266,
-0.08130981773138046,
0.17981931567192078,
0.14861777424812317,
0.11086525768041611,
-0.19002754986286163,
-0.08867484331130981,
0.504673421382904,
-0.29137900471687317,
0.23321588337421417,
0.37283995747566223,
0.042408812791109085,
0.16424599289894104,
0.16576358675956726,
0.05226315185427666,
0.4733753204345703,
0.055274296551942825,
0.05170294642448425,
0.11520903557538986,
-0.026024725288152695,
-0.004513718653470278,
0.3991515040397644,
-0.009431418031454086,
0.008123713545501232,
0.31100350618362427,
0.594642698764801,
-0.4088001549243927,
-0.15509121119976044,
-0.32456767559051514,
-0.10484921932220459,
0.03521817922592163,
-0.13292890787124634,
-0.3802722990512848,
0.0711788460612297,
-0.25378596782684326,
-0.15523597598075867,
-0.15357741713523865,
-0.32617029547691345,
0.11912376433610916,
0.0025214990600943565,
-0.3347841203212738,
-0.23041388392448425,
-0.46209484338760376,
0.2961376905441284,
-0.1024322584271431,
-0.21056650578975677,
0.2456555962562561,
0.06732194125652313,
0.13905905187129974,
0.3560238182544708,
0.3868747055530548,
0.4162226617336273,
0.15023018419742584,
-0.4203752875328064,
-0.1778593808412552,
-0.15420076251029968,
0.10862697660923004,
0.07844631373882294,
0.3482345640659332,
-0.01889878511428833,
-0.18846814334392548,
0.5514341592788696,
0.06358040124177933,
0.04156536981463432,
0.2617349624633789,
0.43246617913246155,
-0.41368380188941956,
-0.1912737935781479,
0.7280195355415344,
-0.1477658897638321,
-0.12769806385040283,
-0.11568319797515869,
0.17403192818164825,
-0.3391329050064087,
0.18818505108356476,
0.0550403818488121,
-0.011934862472116947,
0.2017199993133545,
0.004270872101187706,
0.03773851320147514,
-0.17049330472946167,
0.4298184812068939,
0.39635393023490906,
-0.030322715640068054,
-0.40154916048049927,
-0.241623654961586,
-0.8262500762939453,
0.19436651468276978,
-0.09572435915470123,
-0.3178330957889557,
-0.037830058485269547,
-0.2311190515756607,
0.19117747247219086,
0.1463651955127716,
-0.2504749000072479,
0.23906347155570984,
-0.015761040151119232,
0.1646001636981964,
-0.3513510227203369,
-0.3869229853153229,
-0.27075454592704773,
0.11317004263401031,
-0.08452475070953369,
-0.4501943588256836,
0.174981489777565,
-0.24662654101848602,
-0.09763600677251816,
0.16377083957195282,
-0.019515471532940865,
0.45245975255966187,
0.10025571286678314,
0.31207072734832764,
-0.04562393203377724,
0.5762502551078796,
0.1779058873653412,
-0.04075108841061592,
-0.23221510648727417,
0.1957598626613617,
-0.14506034553050995,
0.0977168083190918,
0.049104396253824234,
0.1591259241104126,
-0.12989266216754913,
0.5070659518241882,
-0.36369580030441284,
0.4363592267036438,
0.08669731020927429,
0.12016750872135162,
-0.4500046968460083,
0.17375865578651428,
-0.22239628434181213,
0.13848957419395447,
0.24804364144802094,
0.26967716217041016,
-0.10546994209289551,
0.4141567647457123,
-0.1896025389432907,
-0.05892498046159744,
0.42898741364479065,
-0.20631760358810425,
-0.10361842066049576,
0.06802386045455933,
0.19691073894500732,
-0.11535141617059708,
-0.1730976402759552,
-0.41207343339920044,
0.2724250555038452,
0.245002880692482,
-0.062201522290706635,
0.14686477184295654,
0.16532813012599945,
0.2617567181587219,
0.09281004965305328,
-0.012294868007302284,
0.8619529604911804,
-0.04305972903966904,
0.12368853390216827,
-0.07380092889070511,
-0.2325073778629303
] |
https://github.com/huggingface/datasets/issues/161 | Discussion on version identifier & MockDataLoaderManager for test data | The script loading seems to work fine so I'll work on getting a PR open after a few sanity checks on the data.
On version, we currently have it versioned with YYYY.MM.DD scheme so it would be nice to not change that, but will it cause issues? | Hi, I'm working on adding a dataset and ran into an error due to `download` not being defined on `MockDataLoaderManager`, but being defined in `nlp/utils/download_manager.py`. The readme step running this: `RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_dataset_localmydatasetname` triggers the error. If I can get something to work, I can include it in my data PR once I'm done. | 47 | Discussion on version identifier & MockDataLoaderManager for test data
Hi, I'm working on adding a dataset and ran into an error due to `download` not being defined on `MockDataLoaderManager`, but being defined in `nlp/utils/download_manager.py`. The readme step running this: `RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_dataset_localmydatasetname` triggers the error. If I can get something to work, I can include it in my data PR once I'm done.
The script loading seems to work fine so I'll work on getting a PR open after a few sanity checks on the data.
On version, we currently have it versioned with YYYY.MM.DD scheme so it would be nice to not change that, but will it cause issues? | [
-0.17673854529857635,
0.2111750990152359,
-0.009480219334363937,
-0.13179311156272888,
0.0734434649348259,
-0.14275360107421875,
0.4176614284515381,
0.2573598623275757,
0.049973078072071075,
0.11905651539564133,
0.22333301603794098,
0.06963493674993515,
-0.2887464463710785,
0.08405496925115585,
0.0976942703127861,
-0.007681668736040592,
0.06393378973007202,
0.1413363218307495,
-0.10444250702857971,
0.2076694518327713,
-0.2553172707557678,
-0.005777653772383928,
-0.05395064130425453,
0.10496213287115097,
-0.021723946556448936,
0.12302416563034058,
-0.2095181792974472,
0.10340165346860886,
-0.43610113859176636,
-0.8527144193649292,
0.3802422285079956,
0.10694988071918488,
0.288835734128952,
0.394959032535553,
-0.00012843437434639782,
-0.05747820809483528,
0.5988144874572754,
-0.10965307056903839,
-0.625224769115448,
-0.1496022492647171,
0.27855560183525085,
-0.39122554659843445,
0.35908570885658264,
-0.035221166908741,
0.15007977187633514,
-0.18746663630008698,
0.21873193979263306,
0.04183859005570412,
0.14435122907161713,
0.28827789425849915,
0.07647917419672012,
0.2813303768634796,
0.06819605082273483,
-0.21769149601459503,
-0.11556960642337799,
0.0595376193523407,
-0.08263542503118515,
0.568021833896637,
0.4420579671859741,
0.16450127959251404,
-0.0479075089097023,
-0.1347484588623047,
0.0992564707994461,
0.45589518547058105,
0.18909728527069092,
-0.04519267752766609,
0.6421712040901184,
0.01721687987446785,
-0.14175662398338318,
-0.0005505550652742386,
0.9479650855064392,
-0.5009497404098511,
-0.3974159359931946,
0.05029507726430893,
-0.011666958220303059,
-0.12136584520339966,
0.2301284372806549,
-0.19277647137641907,
-0.2900266647338867,
0.04725116863846779,
-0.1721954196691513,
-0.306246280670166,
-0.12384630739688873,
0.30030086636543274,
-0.30258920788764954,
0.30529940128326416,
0.10334347933530807,
0.24936030805110931,
0.01884397491812706,
-0.11828548461198807,
0.2843584418296814,
-0.03635099157691002,
-0.014641515910625458,
0.18634480237960815,
0.07852444052696228,
-0.2858283519744873,
-0.34592482447624207,
-0.20418153703212738,
0.11312200874090195,
-0.04123414680361748,
-0.42331191897392273,
-0.18879041075706482,
-0.0349556989967823,
0.17621389031410217,
0.22279943525791168,
0.2793656587600708,
0.322689026594162,
0.1964389979839325,
0.24403131008148193,
0.07674892246723175,
0.3281920850276947,
0.26700055599212646,
-0.07985171675682068,
-0.40303072333335876,
0.016207333654165268,
0.05976143479347229,
0.21140815317630768,
-0.3521576523780823,
-0.08716639131307602,
-0.26098182797431946,
-0.3343003988265991,
-0.04781261831521988,
-0.13767439126968384,
0.254379540681839,
-0.11698345839977264,
-0.09509827941656113,
0.03040611557662487,
0.42387014627456665,
-0.15298603475093842,
-0.15913033485412598,
-0.010798301547765732,
0.014280112460255623,
-0.16778992116451263,
-0.01822947897017002,
0.2101246416568756,
0.0889371857047081,
0.31579434871673584,
-0.27740415930747986,
-0.20177309215068817,
0.00356960273347795,
-0.015546661801636219,
0.09739144146442413,
-0.19562062621116638,
0.2981411814689636,
-0.2475428730249405,
-0.021107951179146767,
0.043806567788124084,
-0.2993887662887573,
-0.20705406367778778,
0.27791765332221985,
0.0965084657073021,
-0.45383507013320923,
-0.017877884209156036,
0.048682745546102524,
-0.5866081118583679,
-0.006349837873131037,
-0.018573900684714317,
-0.11635640263557434,
0.11945313960313797,
-0.3823109269142151,
0.01369706355035305,
-0.4451650083065033,
-0.37953656911849976,
-0.10745555907487869,
-0.15624383091926575,
0.2226879745721817,
-0.3308180570602417,
-0.27616390585899353,
-0.31168127059936523,
-0.34300047159194946,
0.15970581769943237,
-0.24245984852313995,
-0.09673337638378143,
0.09309771656990051,
-0.3562757670879364,
-0.21318891644477844,
0.5165299773216248,
-0.6141233444213867,
-0.3168637156486511,
0.47944459319114685,
-0.3933306634426117,
-0.3192726671695709,
0.24876056611537933,
-0.0207884032279253,
0.09857206791639328,
-0.43709495663642883,
-0.12158013135194778,
-0.015840401872992516,
-0.018848072737455368,
-0.16953305900096893,
-0.2131861448287964,
-0.3432087004184723,
0.15771761536598206,
0.2769618332386017,
-0.06715557724237442,
0.1459980458021164,
0.16151906549930573,
0.13526900112628937,
0.3999651372432709,
0.1997319757938385,
0.1501396745443344,
-0.17016765475273132,
0.2423335611820221,
-0.2819081246852875,
-0.034802887588739395,
-0.06494912505149841,
-0.6823078393936157,
0.2038474977016449,
-0.08313919603824615,
0.1682872176170349,
0.01756259799003601,
-0.010357142426073551,
-0.5097715854644775,
-0.004371670540422201,
0.0005462606786750257,
-0.18655119836330414,
-0.07908085733652115,
0.11807793378829956,
0.17096984386444092,
-0.06011904776096344,
-0.029049653559923172,
0.008818023838102818,
-0.21767611801624298,
0.1949048787355423,
0.06572531908750534,
0.021832238882780075,
-0.046724554151296616,
0.05512044578790665,
0.20559047162532806,
0.2732929289340973,
0.05787929520010948,
-0.3460526168346405,
-0.0076025244779884815,
0.27380239963531494,
0.37539586424827576,
0.24678638577461243,
0.14574918150901794,
0.03405623883008957,
0.2007620632648468,
0.2431778460741043,
0.2701939642429352,
0.24104620516300201,
0.013896883465349674,
-0.18850558996200562,
0.043078579008579254,
0.1935190111398697,
0.1659841239452362,
-0.039776165038347244,
-0.16236130893230438,
-0.028106141835451126,
0.2738693058490753,
0.16490109264850616,
-0.16081160306930542,
-0.3247186839580536,
0.01635800302028656,
0.32111093401908875,
0.626117467880249,
0.021359724923968315,
0.22093932330608368,
-0.10340210795402527,
-0.24081885814666748,
-0.36838632822036743,
-0.035853974521160126,
0.13243229687213898,
-0.1466740220785141,
-0.13123944401741028,
0.034572500735521317,
0.2909609079360962,
0.8139573931694031,
-0.05824098363518715,
0.14619846642017365,
0.09321124106645584,
-0.08680161088705063,
-0.2109648883342743,
0.13557201623916626,
0.13352128863334656,
0.0800890177488327,
0.13521067798137665,
0.024450497701764107,
-0.33166101574897766,
-0.012322158552706242,
0.050647031515836716,
0.4254480302333832,
0.37603074312210083,
-0.3850041329860687,
-0.14506089687347412,
-0.18982532620429993,
-0.4163716733455658,
-0.46484285593032837,
-0.2600250244140625,
-0.24017728865146637,
-0.32249850034713745,
-0.11344274878501892,
0.3259066045284271,
0.01779020205140114,
0.20503245294094086,
-0.16928575932979584,
0.2984502911567688,
-0.2949589788913727,
-0.27069273591041565,
0.12766176462173462,
-0.20652702450752258,
-0.37653347849845886,
-0.005978043656796217,
0.22037045657634735,
-0.0590689592063427,
0.4229103624820709,
-0.15566520392894745,
-0.3003934919834137,
-0.15991602838039398,
-0.3217743933200836,
0.14323265850543976,
0.1649392545223236,
0.5009920597076416,
0.4258592426776886,
-0.019075673073530197,
0.46502485871315,
0.18073034286499023,
0.029476292431354523,
-0.19941331446170807,
-0.45201048254966736,
-0.20943689346313477,
-0.013930434361100197,
0.09201017767190933,
-0.09755679965019226,
-0.3627032935619354,
-0.6268526315689087,
-0.04943516477942467,
0.09246379882097244,
0.04649152234196663,
0.08684554696083069,
0.07008592784404755,
-0.17430447041988373,
0.12629681825637817,
0.06489038467407227,
-0.14631518721580505,
-0.1392495036125183,
0.12885458767414093,
-0.06379919499158859,
-0.11443979293107986,
-0.2529369294643402,
0.08709780126810074,
-0.09722992032766342,
-0.022104382514953613,
-0.06927567720413208,
-0.41635191440582275,
-0.4980792701244354,
0.18607769906520844,
0.12020441889762878,
0.3934653103351593,
-0.3054564595222473,
0.3518291711807251,
0.2290000319480896,
0.19614912569522858,
-0.07248472422361374,
-0.34929370880126953,
0.2188253104686737,
0.11768539249897003,
0.21085363626480103,
0.3140124976634979,
0.3968406617641449,
-0.17006129026412964,
0.6948562860488892,
0.13153111934661865,
-0.17439638078212738,
-0.0818142369389534,
-0.1846345216035843,
0.0265184473246336,
-0.07165735214948654,
0.025269655510783195,
0.2892470955848694,
-0.12185027450323105,
-0.3842005431652069,
0.2331879734992981,
-0.1759001463651657,
-0.04469290003180504,
-0.18192678689956665,
0.30313539505004883,
0.04550091549754143,
-0.02356850914657116,
-0.01765950582921505,
-0.18742959201335907,
0.06210881844162941,
0.06367649137973785,
-0.03822535276412964,
-0.16917094588279724,
-0.19289416074752808,
0.006161416415125132,
0.34943413734436035,
0.002803509822115302,
0.2017984390258789,
-0.2370382845401764,
0.06796196103096008,
-0.324955552816391,
0.32468441128730774,
0.3511456251144409,
0.6161115169525146,
0.12353872507810593,
0.00640374468639493,
0.1294785588979721,
0.04525180906057358,
0.1685182899236679,
0.015866152942180634,
0.20254449546337128,
0.1941896677017212,
-0.15339437127113342,
-0.10331513732671738,
-0.27947351336479187,
-0.0556245893239975,
0.1073632538318634,
-0.014489945024251938,
0.20647211372852325,
-0.37307003140449524,
-0.1632528305053711,
0.2161456048488617,
0.13574638962745667,
-0.10049237310886383,
-0.3330315053462982,
-0.0852661281824112,
-0.017189422622323036,
-0.03294232860207558,
-0.2879054844379425,
-0.2201475203037262,
-0.0035187876783311367,
-0.17048780620098114,
0.36092492938041687,
-0.009871206246316433,
-0.1548067033290863,
-0.04507386311888695,
0.12206535786390305,
0.14888431131839752,
-0.28252142667770386,
0.3064955770969391,
0.2818533778190613,
0.10912103205919266,
0.4292037785053253,
0.24100300669670105,
-0.07917208969593048,
-0.20654132962226868,
0.062448032200336456,
-0.008029955439269543,
0.38697099685668945,
0.36695870757102966,
0.10100652277469635,
-0.04046150669455528,
-0.1914743036031723,
-0.18607081472873688,
-0.3599005341529846,
0.1049325168132782,
0.3145603835582733,
-0.07839646935462952,
-0.08095933496952057,
-0.37498557567596436,
0.6471112966537476,
0.18893463909626007,
-0.2820153832435608,
0.4349674880504608,
-0.29321232438087463,
-0.24159406125545502,
0.016749316826462746,
0.11472030729055405,
0.9402292966842651,
0.10115311294794083,
0.17937594652175903,
0.40740200877189636,
-0.2569124400615692,
0.27772751450538635,
0.20907986164093018,
0.09308402985334396,
-0.5795199871063232,
0.036909569054841995,
0.0066171991638839245,
-0.18128736317157745,
0.22857515513896942,
-0.1084260493516922,
-0.14125226438045502,
0.3231202960014343,
0.06759408116340637,
0.34467124938964844,
0.2996441423892975,
0.3267157971858978,
-0.1354597508907318,
0.03873352333903313,
-0.1763438731431961,
0.014816279523074627,
-0.16323506832122803,
0.3315986692905426,
-0.24513894319534302,
0.020707150921225548,
-0.20245060324668884,
-0.0634012445807457,
-0.2631097435951233,
-0.20407146215438843,
-0.1457936316728592,
0.029359713196754456,
0.05805611237883568,
-0.17235910892486572,
-0.00357824913226068,
0.26856595277786255,
0.18531247973442078,
-0.2835442125797272,
-0.11798469722270966,
0.06572867929935455,
-0.14783523976802826,
0.1241728812456131,
0.35413286089897156,
0.09129980951547623,
0.3243592381477356,
-0.34615588188171387,
-0.041703708469867706,
0.07845740020275116,
-0.3147275149822235,
-0.11034616827964783,
-0.16823716461658478,
-0.16970397531986237,
0.17790314555168152,
-0.35208630561828613,
-0.2943039536476135,
-0.14130592346191406,
0.02850237302482128,
-0.05287932977080345,
-0.02120472863316536,
0.2687150239944458,
-0.24451075494289398,
-0.011231345124542713,
-0.13838419318199158,
-0.2438735067844391,
0.014476073905825615,
0.44725751876831055,
0.03498436510562897,
-0.10985369980335236,
0.6268343329429626,
-0.2000741958618164,
0.07830142229795456,
-0.08096454292535782,
0.04233285412192345,
-0.030404355376958847,
-0.13849714398384094,
0.07945191860198975,
-0.06528616696596146,
-0.30925360321998596,
0.03099931962788105,
0.6317124962806702,
0.45381924510002136,
-0.022201132029294968,
-0.018441034480929375,
-0.41377219557762146,
-0.4684457778930664,
0.060229506343603134,
-0.13376905024051666,
0.15528957545757294,
-0.1445983350276947,
0.18821322917938232,
0.10624844580888748,
-0.04616064578294754,
-0.1483946442604065,
-0.1558258980512619,
0.17581871151924133,
0.22977714240550995,
-0.18760889768600464,
0.04707852751016617,
-0.02007254585623741,
0.04233887419104576,
-0.06394973397254944,
-0.004503554664552212,
-0.37347763776779175,
-0.00042900018161162734,
-0.06305183470249176,
0.24354545772075653,
0.10599255561828613,
-0.1003904715180397,
0.10395467281341553,
-0.19135817885398865,
-0.013094630092382431,
0.2529706358909607,
-0.0426039919257164,
0.09640387445688248,
-0.08035586029291153,
0.10699272900819778,
0.3446796238422394,
0.15482012927532196,
-0.008971558883786201,
0.35565701127052307,
0.08667539805173874,
0.3026209771633148,
-0.07837709784507751,
0.3181912899017334,
-0.25813016295433044,
0.07906094938516617,
0.18990539014339447,
0.15776826441287994,
-0.017042608931660652,
0.20191441476345062,
0.1141490787267685,
-0.17145690321922302,
0.14508675038814545,
-0.04361802339553833,
0.40425533056259155,
0.8169980645179749,
-0.23315949738025665,
-0.20942115783691406,
0.3954935371875763,
-0.006465008947998285,
-0.20162184536457062,
0.046727877110242844,
0.2742976248264313,
0.16639940440654755,
-0.024561550468206406,
0.31011372804641724,
0.09837272018194199,
-0.016525505110621452,
0.13899224996566772,
0.20030361413955688,
0.17520634829998016,
-0.25456053018569946,
-0.014315756969153881,
0.4361822307109833,
-0.19119314849376678,
0.23482510447502136,
0.39259836077690125,
0.10050832480192184,
0.19480393826961517,
0.09433531761169434,
0.08113159984350204,
0.5245571136474609,
0.12521125376224518,
0.10351584106683731,
0.1761607825756073,
-0.013916155323386192,
0.026047537103295326,
0.4011744558811188,
-0.0035628683399409056,
-0.04608440771698952,
0.40405791997909546,
0.6079491376876831,
-0.3851248323917389,
-0.2014324963092804,
-0.29688191413879395,
-0.19066813588142395,
0.05135670676827431,
-0.13128723204135895,
-0.25092726945877075,
-0.021365763619542122,
-0.1806858330965042,
-0.0604485347867012,
-0.24239714443683624,
-0.28716710209846497,
0.2314751297235489,
-0.004475128371268511,
-0.27352237701416016,
-0.2810951769351959,
-0.36880800127983093,
0.1331091672182083,
-0.029771286994218826,
-0.24174071848392487,
0.28902751207351685,
-0.010914476588368416,
0.04701489210128784,
0.39378565549850464,
0.25173360109329224,
0.40285080671310425,
0.13960044085979462,
-0.357499361038208,
-0.28657132387161255,
-0.2061857134103775,
0.0576339028775692,
0.045156870037317276,
0.34859374165534973,
-0.003062604693695903,
-0.13039417564868927,
0.47411996126174927,
0.029031692072749138,
0.10622157901525497,
0.2274843007326126,
0.35508567094802856,
-0.4659959673881531,
-0.10022179782390594,
0.8348637223243713,
-0.08329629898071289,
-0.20123817026615143,
0.04727892950177193,
0.17994146049022675,
-0.20123788714408875,
0.049357667565345764,
-0.06658048927783966,
0.008686555549502373,
0.1635265350341797,
0.14323142170906067,
-0.0007180774118751287,
-0.09857775270938873,
0.2886532247066498,
0.3661208748817444,
0.025453556329011917,
-0.2843554615974426,
-0.21561042964458466,
-0.746605396270752,
0.19427801668643951,
-0.05663437768816948,
-0.3099113404750824,
-0.021590501070022583,
-0.25138431787490845,
0.23229815065860748,
0.061980441212654114,
-0.17731736600399017,
0.18057386577129364,
0.0964602380990982,
0.10784252732992172,
-0.1980055272579193,
-0.27597418427467346,
-0.21555252373218536,
0.02278275415301323,
-0.10384821146726608,
-0.424919456243515,
0.11889957636594772,
-0.357105016708374,
-0.1592426598072052,
0.08887874335050583,
0.01766159012913704,
0.46478062868118286,
0.005589491222053766,
0.2521139979362488,
-0.08387380093336105,
0.7441820502281189,
0.2783358097076416,
-0.06739994883537292,
-0.1677694171667099,
0.12654688954353333,
-0.14369550347328186,
0.17403094470500946,
-0.12162140756845474,
0.08444086462259293,
-0.18291990458965302,
0.5333904027938843,
-0.41235408186912537,
0.49777358770370483,
-0.12797079980373383,
0.06901855021715164,
-0.34033215045928955,
0.05988244339823723,
-0.2637896239757538,
0.03139052912592888,
0.3083660900592804,
0.19540078938007355,
-0.037802476435899734,
0.3024754524230957,
-0.22645708918571472,
-0.12371459603309631,
0.457865834236145,
-0.17120207846164703,
-0.03230823948979378,
0.08505822718143463,
0.2551976144313812,
0.05695425719022751,
-0.14033232629299164,
-0.4825673997402191,
0.18956714868545532,
0.24742940068244934,
-0.09605918079614639,
0.12113327533006668,
0.1639314740896225,
0.25603291392326355,
0.014003340154886246,
-0.023637430742383003,
1.0229690074920654,
-0.11149543523788452,
0.0829375833272934,
-0.14923928678035736,
-0.2332775890827179
] |
https://github.com/huggingface/datasets/issues/161 | Discussion on version identifier & MockDataLoaderManager for test data | > The script loading seems to work fine so I'll work on getting a PR open after a few sanity checks on the data.
>
> On version, we currently have it versioned with YYYY.MM.DD scheme so it would be nice to not change that, but will it cause issues?
It would cause issues for sure for the tests....not sure if it would also cause issues otherwise.
I would prefer to keep the same version style as we have for other models. You could for example simply add version 1.0.0 and add a comment with the date you currently use for the versioning.
What is your opinion regarding the version here @lhoestq @mariamabarham @thomwolf ? | Hi, I'm working on adding a dataset and ran into an error due to `download` not being defined on `MockDataLoaderManager`, but being defined in `nlp/utils/download_manager.py`. The readme step running this: `RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_dataset_localmydatasetname` triggers the error. If I can get something to work, I can include it in my data PR once I'm done. | 115 | Discussion on version identifier & MockDataLoaderManager for test data
Hi, I'm working on adding a dataset and ran into an error due to `download` not being defined on `MockDataLoaderManager`, but being defined in `nlp/utils/download_manager.py`. The readme step running this: `RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_dataset_localmydatasetname` triggers the error. If I can get something to work, I can include it in my data PR once I'm done.
> The script loading seems to work fine so I'll work on getting a PR open after a few sanity checks on the data.
>
> On version, we currently have it versioned with YYYY.MM.DD scheme so it would be nice to not change that, but will it cause issues?
It would cause issues for sure for the tests....not sure if it would also cause issues otherwise.
I would prefer to keep the same version style as we have for other models. You could for example simply add version 1.0.0 and add a comment with the date you currently use for the versioning.
What is your opinion regarding the version here @lhoestq @mariamabarham @thomwolf ? | [
-0.07840639352798462,
0.21769832074642181,
-0.007994765415787697,
-0.2187173217535019,
-0.016749747097492218,
-0.15013808012008667,
0.45485737919807434,
0.3005516827106476,
0.01723027601838112,
0.0683666542172432,
0.24650821089744568,
0.07947704941034317,
-0.34436482191085815,
0.09023833274841309,
0.06199243664741516,
0.004057256039232016,
0.1139812171459198,
0.08718735724687576,
-0.06386037915945053,
0.15320907533168793,
-0.23857004940509796,
-0.04668717831373215,
0.05854009464383125,
0.18519844114780426,
0.010335407219827175,
0.11389530450105667,
-0.24757252633571625,
0.0872463583946228,
-0.41373854875564575,
-0.8389002680778503,
0.3315025866031647,
0.1653556078672409,
0.38253918290138245,
0.42129871249198914,
-0.00012696099292952567,
-0.09459579735994339,
0.6248884201049805,
-0.020553918555378914,
-0.6024017930030823,
-0.16927875578403473,
0.3652234673500061,
-0.3112028241157532,
0.4110463857650757,
0.024780360981822014,
0.16198453307151794,
-0.20271022617816925,
0.17064090073108673,
0.16206945478916168,
0.1313154548406601,
0.1334400177001953,
0.06785374879837036,
0.22151775658130646,
0.052436839789152145,
-0.1449638158082962,
-0.19909559190273285,
0.05197082832455635,
-0.0658050999045372,
0.6167840361595154,
0.538267970085144,
0.1772146373987198,
-0.021481351926922798,
-0.0021334534976631403,
0.1414719820022583,
0.328044056892395,
0.20711073279380798,
-0.0733766257762909,
0.7348248362541199,
0.061361029744148254,
-0.13098594546318054,
0.008156141266226768,
0.9527409076690674,
-0.4113695025444031,
-0.5182250142097473,
0.05566876754164696,
0.04883899167180061,
-0.1310151219367981,
0.18289019167423248,
-0.16959132254123688,
-0.1973838061094284,
0.1067793071269989,
-0.18128985166549683,
-0.32025784254074097,
-0.22140276432037354,
0.2812292277812958,
-0.2812555134296417,
0.2253076583147049,
0.08337686210870743,
0.24231453239917755,
-0.10925696790218353,
-0.1724252849817276,
0.260231614112854,
-0.09966786950826645,
-0.018706679344177246,
0.19757479429244995,
0.1821490377187729,
-0.3591313660144806,
-0.389056921005249,
-0.11087005585432053,
0.14589837193489075,
-0.10912835597991943,
-0.3968164324760437,
-0.27656814455986023,
-0.0512404665350914,
0.09083858877420425,
0.25132593512535095,
0.22492338716983795,
0.4186558425426483,
0.11730152368545532,
0.23796430230140686,
0.028204094618558884,
0.3856794238090515,
0.27554261684417725,
-0.03827471286058426,
-0.31103453040122986,
0.03038773313164711,
0.07220078259706497,
0.18404798209667206,
-0.4060976803302765,
0.04705066978931427,
-0.23230348527431488,
-0.3417428135871887,
-0.13881896436214447,
-0.11908876895904541,
0.1863187551498413,
-0.11592963337898254,
0.000331586372340098,
-0.0072271437384188175,
0.3783922791481018,
-0.12641966342926025,
-0.18677861988544464,
-0.029238922521471977,
-0.05743896961212158,
-0.1304679960012436,
-0.020339462906122208,
0.19088758528232574,
0.03255564346909523,
0.289774626493454,
-0.2891443967819214,
-0.18417130410671234,
0.020452288910746574,
-0.08764714002609253,
0.12490967661142349,
-0.2652382254600525,
0.2683076858520508,
-0.40122702717781067,
-0.015372781082987785,
-0.07192354649305344,
-0.3612964153289795,
-0.15017567574977875,
0.2882687449455261,
0.07951976358890533,
-0.43441006541252136,
-0.015945926308631897,
0.052783094346523285,
-0.48552608489990234,
-0.012248165905475616,
-0.029270147904753685,
-0.05822455510497093,
0.14872434735298157,
-0.3259884715080261,
0.043540358543395996,
-0.4276157021522522,
-0.3264010548591614,
-0.1250607669353485,
-0.20648141205310822,
0.23732160031795502,
-0.37796443700790405,
-0.24657829105854034,
-0.21628819406032562,
-0.32622402906417847,
0.05176319554448128,
-0.20617209374904633,
-0.09009325504302979,
0.034393470734357834,
-0.1435721218585968,
-0.24087361991405487,
0.5255957841873169,
-0.6463603377342224,
-0.28754159808158875,
0.501909077167511,
-0.2739059329032898,
-0.275549978017807,
0.2525528073310852,
-0.024602163583040237,
0.1583234965801239,
-0.5408316850662231,
-0.15352246165275574,
-0.10466641932725906,
-0.03884086385369301,
-0.17798317968845367,
-0.33155348896980286,
-0.4214683771133423,
0.20058327913284302,
0.334543913602829,
-0.14667843282222748,
0.10944321751594543,
0.09240783005952835,
0.07713969796895981,
0.5037010312080383,
0.18341240286827087,
0.051096897572278976,
-0.21777094900608063,
0.36563289165496826,
-0.2329491376876831,
-0.07816815376281738,
-0.01453306432813406,
-0.720613420009613,
0.18981395661830902,
-0.10228998214006424,
0.09577107429504395,
0.13708673417568207,
0.005196824669837952,
-0.4359965920448303,
-0.023731883615255356,
-0.013887777924537659,
-0.2627042829990387,
-0.08157558739185333,
-0.061651427298784256,
0.05206858739256859,
-0.029485782608389854,
-0.010523254983127117,
0.022948499768972397,
-0.20240561664104462,
0.22217707335948944,
0.08579199761152267,
-0.0024018369149416685,
-0.09218437969684601,
0.047818172723054886,
0.15576086938381195,
0.293927937746048,
0.07502295076847076,
-0.302520215511322,
-0.020341936498880386,
0.32047200202941895,
0.3806014955043793,
0.2452133297920227,
0.11209164559841156,
0.10057663917541504,
0.29977262020111084,
0.3446674942970276,
0.32449132204055786,
0.14844419062137604,
-0.04383357614278793,
-0.09661363810300827,
-0.002045735949650407,
0.19905777275562286,
0.1993005871772766,
-0.1508340835571289,
-0.24920277297496796,
-0.08458001166582108,
0.18606235086917877,
0.20408257842063904,
-0.2294480949640274,
-0.29849493503570557,
-0.02239740826189518,
0.33672502636909485,
0.5842096209526062,
0.010334302671253681,
0.18908660113811493,
-0.035989753901958466,
-0.22549119591712952,
-0.3813839852809906,
-0.11914398521184921,
0.15917089581489563,
-0.15317369997501373,
-0.17685852944850922,
0.0373910516500473,
0.2746085226535797,
0.6558875441551208,
-0.050809234380722046,
0.06169327720999718,
0.07968847453594208,
-0.09127505868673325,
-0.15820498764514923,
0.13297709822654724,
0.1951868236064911,
0.0797489583492279,
0.0744830071926117,
0.02701413817703724,
-0.2232912927865982,
0.05465991422533989,
0.07418319582939148,
0.2964886426925659,
0.30123189091682434,
-0.3033636212348938,
-0.10878120362758636,
-0.14369456470012665,
-0.35501861572265625,
-0.4484521448612213,
-0.2716020941734314,
-0.36121997237205505,
-0.28391093015670776,
-0.04440874233841896,
0.30553245544433594,
-0.00804943311959505,
0.16161315143108368,
-0.08846748620271683,
0.35138967633247375,
-0.30625680088996887,
-0.08021820336580276,
0.13091690838336945,
-0.16871538758277893,
-0.40213847160339355,
-0.007545545697212219,
0.16932828724384308,
-0.14140769839286804,
0.3990311026573181,
-0.07358185946941376,
-0.3104704022407532,
-0.07311951369047165,
-0.4179687798023224,
0.07629513740539551,
0.13683411478996277,
0.5680725574493408,
0.4437895119190216,
-0.015858739614486694,
0.4559709429740906,
0.2141166627407074,
0.026539582759141922,
-0.18789532780647278,
-0.37475988268852234,
-0.24569803476333618,
0.002452183049172163,
0.06221345067024231,
-0.06288854777812958,
-0.34115535020828247,
-0.674794614315033,
0.01595262438058853,
0.14174216985702515,
0.041540272533893585,
0.09176651388406754,
0.09137094765901566,
-0.20751534402370453,
0.009894615039229393,
-0.03349146246910095,
-0.12606987357139587,
-0.09700209647417068,
0.14260676503181458,
-0.11859004944562912,
-0.11486148834228516,
-0.21240922808647156,
0.09414664655923843,
0.05003815516829491,
-0.049713797867298126,
-0.15218909084796906,
-0.38123002648353577,
-0.5387282967567444,
0.27524468302726746,
0.09593893587589264,
0.44321680068969727,
-0.3750832974910736,
0.31686413288116455,
0.25746023654937744,
0.21060150861740112,
-0.030558103695511818,
-0.3124101161956787,
0.2227209508419037,
0.20246177911758423,
0.2387276440858841,
0.34162265062332153,
0.42786845564842224,
-0.17156003415584564,
0.6987610459327698,
0.26078903675079346,
-0.21202370524406433,
-0.23117226362228394,
-0.005480967927724123,
-0.12855055928230286,
-0.09365084022283554,
0.03923335298895836,
0.2602944076061249,
-0.11454768478870392,
-0.36592742800712585,
0.28301042318344116,
-0.07185554504394531,
0.0009104206110350788,
-0.17153936624526978,
0.2326364666223526,
0.04826631769537926,
-0.025848064571619034,
-0.016991743817925453,
-0.10419643670320511,
0.09018248319625854,
0.036169566214084625,
-0.061962634325027466,
-0.163551926612854,
-0.24948860704898834,
0.07056630402803421,
0.45116737484931946,
-0.007166197523474693,
0.23893795907497406,
-0.1418851912021637,
0.14389045536518097,
-0.3231489062309265,
0.29190781712532043,
0.36468976736068726,
0.5911158323287964,
0.20548345148563385,
-0.06498810648918152,
0.16462929546833038,
0.03949254751205444,
0.16430646181106567,
0.068117655813694,
0.2253868579864502,
0.08400386571884155,
-0.23833321034908295,
-0.08051186800003052,
-0.3215266466140747,
0.0013931782450526953,
0.04301387071609497,
0.06709764152765274,
0.2078157663345337,
-0.37192270159721375,
-0.22546431422233582,
0.19167442619800568,
0.11681389808654785,
-0.14998020231723785,
-0.32392776012420654,
-0.04554982855916023,
0.13843339681625366,
0.07787808775901794,
-0.3222939670085907,
-0.3112127482891083,
-0.09886188060045242,
-0.23056074976921082,
0.35554516315460205,
-0.0032918581273406744,
-0.15369625389575958,
-0.06030772998929024,
0.17602184414863586,
0.12314026057720184,
-0.35025739669799805,
0.32314831018447876,
0.3036523163318634,
0.1975908726453781,
0.419914186000824,
0.11987718194723129,
-0.12025206536054611,
-0.10920149832963943,
-0.038991253823041916,
-0.09179157018661499,
0.3305351734161377,
0.446627676486969,
0.029408376663923264,
-0.07550673186779022,
-0.15196508169174194,
-0.21442173421382904,
-0.3695791959762573,
-0.030505428090691566,
0.2852318286895752,
-0.049796212464571,
-0.06767588108778,
-0.3444429636001587,
0.6544520258903503,
0.13295790553092957,
-0.35399505496025085,
0.38949471712112427,
-0.2603274881839752,
-0.20492376387119293,
0.01446897815912962,
0.12303533405065536,
0.9271785616874695,
0.13575279712677002,
0.2261447161436081,
0.3561149537563324,
-0.26288023591041565,
0.19106148183345795,
0.2073083519935608,
-0.021173398941755295,
-0.5951218605041504,
0.07956142723560333,
-0.010454891249537468,
-0.11937633901834488,
0.2597505748271942,
-0.0681867003440857,
-0.06725665181875229,
0.3064363896846771,
0.11517385393381119,
0.3037271201610565,
0.27472925186157227,
0.3166316747665405,
-0.07457143813371658,
0.12467685341835022,
-0.14576420187950134,
-0.002733726054430008,
-0.1987127810716629,
0.2215563952922821,
-0.21738159656524658,
-0.059121374040842056,
-0.13456182181835175,
-0.1353384107351303,
-0.1971939206123352,
-0.27885547280311584,
-0.14172951877117157,
0.002586817368865013,
0.09939520806074142,
-0.242243692278862,
0.09887224435806274,
0.207837775349617,
0.21243104338645935,
-0.276932030916214,
-0.10583090037107468,
-0.006890570279210806,
-0.09415480494499207,
0.19183121621608734,
0.2326047569513321,
0.11455299705266953,
0.4135674834251404,
-0.3656519055366516,
-0.029833296313881874,
-0.0021501800511032343,
-0.30152416229248047,
-0.0788201317191124,
-0.244759663939476,
-0.2292693853378296,
0.20691914856433868,
-0.3499625623226166,
-0.24334916472434998,
-0.07171518355607986,
0.060952845960855484,
-0.04963534697890282,
-0.016589585691690445,
0.29876700043678284,
-0.16764646768569946,
0.002461120719090104,
-0.0652824193239212,
-0.14836598932743073,
0.003522098297253251,
0.4236813187599182,
0.035341206938028336,
-0.12862040102481842,
0.5450727939605713,
-0.17769360542297363,
-0.012219224125146866,
-0.06524535268545151,
0.0422196239233017,
-0.056933995336294174,
-0.26405856013298035,
0.02484985440969467,
-0.0826936736702919,
-0.254199355840683,
0.026647139340639114,
0.6445192098617554,
0.5140350461006165,
-0.08816120028495789,
0.008510657586157322,
-0.31155499815940857,
-0.4337584972381592,
0.1188797876238823,
-0.14966148138046265,
0.12794028222560883,
-0.2016352266073227,
0.19356219470500946,
0.08962821960449219,
-0.08079403638839722,
-0.16443055868148804,
-0.16892485320568085,
0.28729039430618286,
0.16615460813045502,
-0.20746676623821259,
0.055749546736478806,
-0.05666719749569893,
0.0003574356669560075,
-0.07731940597295761,
-0.09144643694162369,
-0.43206557631492615,
-0.009923156350851059,
-0.06818331778049469,
0.2238517850637436,
0.09701970219612122,
-0.09937217831611633,
0.0750126838684082,
-0.18205660581588745,
0.032962292432785034,
0.3337462246417999,
-0.029269937425851822,
0.05774608626961708,
0.040878910571336746,
0.2147262990474701,
0.31241950392723083,
0.24340109527111053,
-0.02675935998558998,
0.41367068886756897,
0.05288263410329819,
0.2778564989566803,
-0.03120342083275318,
0.30528873205184937,
-0.23807887732982635,
0.03763607144355774,
0.07074980437755585,
0.19237954914569855,
-0.18816961348056793,
0.32301488518714905,
0.04429030418395996,
-0.19937720894813538,
0.17659597098827362,
0.008233627304434776,
0.38792884349823,
0.7847015857696533,
-0.19644689559936523,
-0.3009435832500458,
0.4536358416080475,
0.02780831605195999,
-0.12452926486730576,
0.08317089825868607,
0.2623593509197235,
0.19259525835514069,
-0.04848894849419594,
0.33698877692222595,
0.14231327176094055,
0.037863150238990784,
0.10244553536176682,
0.23270535469055176,
0.11558347195386887,
-0.30714133381843567,
-0.014102863147854805,
0.4850962162017822,
-0.19111405313014984,
0.25854918360710144,
0.42612940073013306,
0.21961547434329987,
0.042595140635967255,
0.01736043579876423,
0.08998798578977585,
0.4031566083431244,
0.20004688203334808,
0.04172322899103165,
0.21260829269886017,
0.07285215705633163,
-0.052006810903549194,
0.35862401127815247,
0.010092625394463539,
-0.07322865724563599,
0.4328910708427429,
0.6263272762298584,
-0.24576975405216217,
-0.27351221442222595,
-0.26523229479789734,
-0.2573296129703522,
0.11760263890028,
-0.15073885023593903,
-0.3253522515296936,
-0.03138638660311699,
-0.17232517898082733,
-0.06642258167266846,
-0.3928258419036865,
-0.23233869671821594,
0.2464117705821991,
0.06092766672372818,
-0.24920044839382172,
-0.352198988199234,
-0.4377790689468384,
0.04229274392127991,
0.06692018359899521,
-0.148677259683609,
0.24843694269657135,
0.00396727817133069,
0.0939527377486229,
0.4052651524543762,
0.24692608416080475,
0.24045221507549286,
0.09698589146137238,
-0.3979862332344055,
-0.33230021595954895,
-0.24257369339466095,
0.0760236606001854,
0.16924108564853668,
0.2883457839488983,
0.02029680274426937,
-0.1690835952758789,
0.4392831325531006,
0.004951359238475561,
0.17242638766765594,
0.36718448996543884,
0.30420127511024475,
-0.41587042808532715,
-0.11310689896345139,
0.8669894337654114,
-0.010363774374127388,
-0.2329440712928772,
0.14805182814598083,
0.19929912686347961,
-0.20762725174427032,
0.12630192935466766,
-0.041104044765233994,
0.05794123187661171,
0.12840145826339722,
0.15669399499893188,
0.01264475379139185,
-0.031988464295864105,
0.18832430243492126,
0.3991011679172516,
-0.01953926496207714,
-0.2369241565465927,
-0.12392780184745789,
-0.5654705166816711,
0.07696279138326645,
0.051341038197278976,
-0.2140645831823349,
-0.018772656098008156,
-0.24497385323047638,
0.2046445608139038,
0.06571236252784729,
-0.11546369642019272,
0.022159822285175323,
-0.050805602222681046,
0.14864738285541534,
-0.17918527126312256,
-0.19621089100837708,
-0.1313892900943756,
0.11998558789491653,
-0.11988729238510132,
-0.3040076792240143,
0.051378000527620316,
-0.31778350472450256,
-0.19125236570835114,
0.018191730603575706,
0.0473661795258522,
0.46464958786964417,
0.03857524320483208,
0.13066141307353973,
-0.06797123700380325,
0.5171780586242676,
0.3847467303276062,
-0.17759005725383759,
-0.1369653046131134,
0.10956744104623795,
-0.12803304195404053,
0.1817883551120758,
-0.13699176907539368,
0.1513928771018982,
-0.12285523116588593,
0.42535245418548584,
-0.3331279158592224,
0.41835811734199524,
-0.22756338119506836,
0.00016316142864525318,
-0.41708213090896606,
0.10477394610643387,
-0.1155538558959961,
-0.11772557348012924,
0.29186394810676575,
0.2757241129875183,
-0.07171876728534698,
0.26153165102005005,
-0.28110143542289734,
-0.07436525076627731,
0.43028655648231506,
-0.22998568415641785,
0.04756646975874901,
0.09626569598913193,
0.29810577630996704,
0.1159944236278534,
-0.053857237100601196,
-0.5310583114624023,
0.12829114496707916,
0.23650725185871124,
-0.14698515832424164,
0.022672440856695175,
0.22228990495204926,
0.31165826320648193,
-0.06905617564916611,
-0.03913317993283272,
1.0794566869735718,
-0.17351435124874115,
0.1126837432384491,
-0.15644274652004242,
-0.1975000500679016
] |
https://github.com/huggingface/datasets/issues/161 | Discussion on version identifier & MockDataLoaderManager for test data | Maybe use the YYYY.MM.DD as the config name ? That's what we are doing for wikipedia | Hi, I'm working on adding a dataset and ran into an error due to `download` not being defined on `MockDataLoaderManager`, but being defined in `nlp/utils/download_manager.py`. The readme step running this: `RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_dataset_localmydatasetname` triggers the error. If I can get something to work, I can include it in my data PR once I'm done. | 16 | Discussion on version identifier & MockDataLoaderManager for test data
Hi, I'm working on adding a dataset and ran into an error due to `download` not being defined on `MockDataLoaderManager`, but being defined in `nlp/utils/download_manager.py`. The readme step running this: `RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_dataset_localmydatasetname` triggers the error. If I can get something to work, I can include it in my data PR once I'm done.
Maybe use the YYYY.MM.DD as the config name ? That's what we are doing for wikipedia | [
-0.141180157661438,
0.2805643677711487,
-0.010228937491774559,
-0.17343877255916595,
0.09962110221385956,
-0.056226328015327454,
0.3951389491558075,
0.3567788600921631,
0.13251608610153198,
0.16331030428409576,
0.25443243980407715,
0.1168983206152916,
-0.26364395022392273,
-0.032296158373355865,
0.08826752007007599,
-0.02258087322115898,
0.024319864809513092,
0.15399642288684845,
-0.06924323737621307,
0.2538091242313385,
-0.15772661566734314,
0.027644295245409012,
-0.07621083408594131,
0.003468480659648776,
-0.03206659108400345,
0.1495646834373474,
-0.12435517460107803,
-0.029232658445835114,
-0.3976539075374603,
-0.8835688233375549,
0.3851564824581146,
0.08030350506305695,
0.15719856321811676,
0.4587191641330719,
-0.0001239301636815071,
-0.09218396246433258,
0.660364031791687,
-0.09545914828777313,
-0.7126164436340332,
-0.11028579622507095,
0.21409565210342407,
-0.4431757926940918,
0.31489893794059753,
-0.12270388007164001,
0.07477767765522003,
-0.12571509182453156,
0.24232231080532074,
0.002951042726635933,
0.042344335466623306,
0.27795830368995667,
0.11370956897735596,
0.20985428988933563,
0.1447017341852188,
-0.20508593320846558,
-0.06326285004615784,
0.07268252968788147,
-0.12551940977573395,
0.5561836957931519,
0.29881590604782104,
0.08979528397321701,
-0.011444400995969772,
-0.08872734010219574,
0.08542582392692566,
0.474565714597702,
0.20247617363929749,
-0.025697732344269753,
0.5517069697380066,
0.010823414660990238,
-0.16354914009571075,
-0.0021504529286175966,
0.9606100916862488,
-0.5900263786315918,
-0.28566688299179077,
0.05598229914903641,
0.061815399676561356,
-0.04415784776210785,
0.22932542860507965,
-0.1933583766222,
-0.3710888922214508,
0.005593670066446066,
-0.1138651892542839,
-0.3460589647293091,
-0.1390753835439682,
0.38633835315704346,
-0.28163307905197144,
0.3920338749885559,
0.12043479084968567,
0.20180313289165497,
0.029666505753993988,
-0.122710682451725,
0.17662954330444336,
-0.03735435754060745,
0.052941229194402695,
0.2122679352760315,
0.05316222831606865,
-0.29137110710144043,
-0.361217737197876,
-0.23290030658245087,
0.1176927462220192,
-0.07169977575540543,
-0.5114039182662964,
-0.21405284106731415,
0.06013592705130577,
0.2136068344116211,
0.11943753063678741,
0.2886674404144287,
0.31643879413604736,
0.2632662057876587,
0.2690868079662323,
0.15910065174102783,
0.2307039201259613,
0.2268163114786148,
-0.001236294279806316,
-0.39059674739837646,
0.007877267897129059,
0.043516915291547775,
0.23724433779716492,
-0.2792249619960785,
-0.0018140148604288697,
-0.2233661562204361,
-0.3548259437084198,
-0.03768961504101753,
-0.15496304631233215,
0.2712012529373169,
-0.21224357187747955,
-0.2190592736005783,
0.035491421818733215,
0.3669433295726776,
-0.19033758342266083,
-0.08297501504421234,
-0.030062152072787285,
0.10269130021333694,
-0.20946714282035828,
0.04133981838822365,
0.2736009359359741,
0.11987373232841492,
0.381564199924469,
-0.22116528451442719,
-0.17527347803115845,
-0.06266386061906815,
0.04889069125056267,
0.16503962874412537,
-0.2584545314311981,
0.31381118297576904,
-0.17547930777072906,
0.09148220717906952,
0.07570147514343262,
-0.398679256439209,
-0.26067492365837097,
0.1905805766582489,
0.08797729760408401,
-0.3984543979167938,
-0.0753718838095665,
0.09867946058511734,
-0.5322722792625427,
-0.04728288948535919,
0.03678005933761597,
-0.10876550525426865,
0.16949868202209473,
-0.43949946761131287,
0.0399811826646328,
-0.32962048053741455,
-0.32755348086357117,
-0.12069281190633774,
-0.044775158166885376,
0.22451521456241608,
-0.3344631791114807,
-0.34485405683517456,
-0.39960163831710815,
-0.2620830535888672,
0.19108612835407257,
-0.27225616574287415,
-0.051615409553050995,
0.17989279329776764,
-0.3446759283542633,
-0.09361156821250916,
0.5451647043228149,
-0.5609608292579651,
-0.3666340410709381,
0.4103250205516815,
-0.39714255928993225,
-0.3093583881855011,
0.21600043773651123,
-0.0019483502255752683,
0.07214003056287766,
-0.29543301463127136,
-0.13503055274486542,
0.026698661968111992,
0.054789528250694275,
-0.12957771122455597,
-0.17708136141300201,
-0.31291669607162476,
0.15713384747505188,
0.24047572910785675,
-0.05776774138212204,
0.12762784957885742,
0.17676858603954315,
0.2212318629026413,
0.33956876397132874,
0.12165796756744385,
0.19460879266262054,
-0.084800586104393,
0.20399156212806702,
-0.17558185756206512,
-0.07350839674472809,
-0.09873486310243607,
-0.6286865472793579,
0.21739527583122253,
-0.04047866538167,
0.2884501814842224,
-0.07102862000465393,
-0.05127639323472977,
-0.6030595898628235,
-0.028186168521642685,
0.00714518129825592,
-0.2543843388557434,
0.0009686918929219246,
0.21090392768383026,
0.12575198709964752,
0.07182266563177109,
0.08742720633745193,
-0.05625365674495697,
-0.20948576927185059,
0.18995793163776398,
-0.039935994893312454,
-0.016077112406492233,
-0.11674582213163376,
0.11367644369602203,
0.12232333421707153,
0.20108278095722198,
0.032386187463998795,
-0.2665897309780121,
-0.011399648152291775,
0.18859533965587616,
0.3017374575138092,
0.266964852809906,
0.20126543939113617,
-0.02864086627960205,
0.18482054769992828,
0.14330708980560303,
0.2356155514717102,
0.31909435987472534,
0.07314877957105637,
-0.27954864501953125,
0.0007628898601979017,
0.13875500857830048,
0.2109912633895874,
0.003671384882181883,
-0.22517845034599304,
-0.008010493591427803,
0.3341831862926483,
0.12936246395111084,
-0.1294441670179367,
-0.3318292200565338,
0.09353794157505035,
0.3465369939804077,
0.5930154919624329,
-0.03065650723874569,
0.3187485933303833,
-0.17704841494560242,
-0.19611361622810364,
-0.3319162130355835,
0.010572312399744987,
0.1472771018743515,
-0.1484431028366089,
-0.13274501264095306,
0.004782126285135746,
0.26078298687934875,
0.7473021745681763,
-0.017133647575974464,
0.21024437248706818,
0.08281274884939194,
-0.1943521797657013,
-0.18114586174488068,
0.1961626410484314,
0.14606839418411255,
0.058496203273534775,
0.11732576787471771,
0.008353723213076591,
-0.35019412636756897,
-0.04217161610722542,
-0.010637227445840836,
0.46164819598197937,
0.42120227217674255,
-0.32619917392730713,
-0.12541928887367249,
-0.20866435766220093,
-0.4111088812351227,
-0.45044612884521484,
-0.4019864499568939,
-0.31500232219696045,
-0.3542330265045166,
-0.10665392875671387,
0.2702238857746124,
0.08679535984992981,
0.2829831540584564,
-0.22471629083156586,
0.3037927448749542,
-0.2569120228290558,
-0.35868939757347107,
0.0704028531908989,
-0.2922024726867676,
-0.33515968918800354,
0.011352027766406536,
0.2335166186094284,
0.0032294425182044506,
0.4592943489551544,
-0.12466821819543839,
-0.3249700963497162,
-0.2268054336309433,
-0.3663179576396942,
0.1080348864197731,
0.06434562802314758,
0.5244489908218384,
0.4165666699409485,
0.04030127078294754,
0.47716858983039856,
0.04909354820847511,
0.03497636690735817,
-0.18719065189361572,
-0.4240948557853699,
-0.2361035943031311,
-0.012633761391043663,
0.17698754370212555,
-0.09272029250860214,
-0.3785635828971863,
-0.5373612642288208,
-0.10313188284635544,
0.08804374933242798,
0.06720157712697983,
0.006694186013191938,
0.15287858247756958,
-0.1076129749417305,
0.15140707790851593,
0.10712608695030212,
-0.055706579238176346,
-0.13396614789962769,
0.1255902200937271,
0.020721521228551865,
-0.16886906325817108,
-0.10974088311195374,
0.10617498308420181,
-0.11159364879131317,
0.03736875578761101,
-0.1364319622516632,
-0.4577692449092865,
-0.404999703168869,
0.10826626420021057,
0.16511787474155426,
0.40959516167640686,
-0.2527126669883728,
0.29434141516685486,
0.2326202094554901,
0.14786021411418915,
-0.09710413962602615,
-0.38558489084243774,
0.18258604407310486,
0.03584718331694603,
0.25486353039741516,
0.2382112741470337,
0.4276253283023834,
-0.1880529522895813,
0.8638381361961365,
0.12577718496322632,
-0.09333564341068268,
-0.06046348065137863,
-0.22055964171886444,
0.0037173659075051546,
-0.059209730476140976,
-0.0444650761783123,
0.32291179895401,
-0.11662055552005768,
-0.3214450776576996,
0.2759306728839874,
-0.2046300768852234,
-0.1540333777666092,
-0.13479170203208923,
0.28695493936538696,
-0.0061087110079824924,
-0.06751181185245514,
-0.044665709137916565,
-0.14884798228740692,
0.04530670493841171,
0.05406409874558449,
-0.049502212554216385,
-0.2289305180311203,
-0.25206297636032104,
0.04696153104305267,
0.3166661560535431,
-0.15776319801807404,
0.18858551979064941,
-0.24663034081459045,
0.031643226742744446,
-0.4474697411060333,
0.2941858768463135,
0.3331862688064575,
0.5381494760513306,
0.10278918594121933,
-0.015301230363547802,
0.1133810430765152,
0.10491450130939484,
0.20852747559547424,
-0.017759518697857857,
0.1344527155160904,
0.24128955602645874,
-0.09606413543224335,
-0.1246165782213211,
-0.25974854826927185,
-0.008719860576093197,
0.1897028684616089,
-0.004295377992093563,
0.1342666745185852,
-0.4184402823448181,
-0.07045499980449677,
0.2634959816932678,
0.19597133994102478,
-0.09762386232614517,
-0.32441040873527527,
-0.08676221966743469,
-0.028297683224081993,
-0.08012966811656952,
-0.23945501446723938,
-0.16850043833255768,
0.10118187218904495,
-0.07583699375391006,
0.36228272318840027,
0.0368487648665905,
-0.06702441722154617,
-0.08236604183912277,
0.15544487535953522,
0.1467123180627823,
-0.2071235626935959,
0.26483219861984253,
0.22875168919563293,
0.02747339941561222,
0.3402649164199829,
0.24137137830257416,
-0.11826832592487335,
-0.2586962878704071,
-0.04757852852344513,
0.007216784171760082,
0.3554086685180664,
0.23109465837478638,
0.18838533759117126,
-0.01939680427312851,
-0.16011221706867218,
-0.14804236590862274,
-0.3491378128528595,
0.19839318096637726,
0.32603728771209717,
-0.09454573690891266,
-0.08157742023468018,
-0.37446698546409607,
0.6699296832084656,
0.21066692471504211,
-0.22166122496128082,
0.5757384300231934,
-0.21588164567947388,
-0.36131006479263306,
-0.02096301130950451,
0.09729336202144623,
0.9390996098518372,
0.12304692715406418,
0.22184567153453827,
0.3271257281303406,
-0.20360638201236725,
0.4068250358104706,
0.11397723853588104,
0.16315177083015442,
-0.5522783398628235,
0.03558999300003052,
0.041692398488521576,
-0.18077506124973297,
0.18681347370147705,
-0.12864026427268982,
-0.2766341269016266,
0.34582534432411194,
0.09094031900167465,
0.31623345613479614,
0.2804929316043854,
0.37360402941703796,
-0.06282558292150497,
-0.04738743230700493,
-0.16777780652046204,
0.06752443313598633,
-0.17312783002853394,
0.393238365650177,
-0.250163733959198,
0.09912167489528656,
-0.1918770670890808,
-0.038452666252851486,
-0.3120807111263275,
-0.1937754601240158,
-0.12246160954236984,
0.12016146630048752,
0.054419875144958496,
-0.16867998242378235,
-0.025051789358258247,
0.22702477872371674,
0.12529321014881134,
-0.16949136555194855,
-0.17709797620773315,
0.14197933673858643,
-0.18136003613471985,
0.06414905935525894,
0.30314692854881287,
0.05139261856675148,
0.30210572481155396,
-0.3474113941192627,
-0.09088580310344696,
0.12196414172649384,
-0.28413015604019165,
-0.20523521304130554,
-0.12637746334075928,
-0.17083795368671417,
0.08427350968122482,
-0.3267585337162018,
-0.28286013007164,
-0.1330205351114273,
0.046896763145923615,
-0.1448686122894287,
0.02616160735487938,
0.2255212515592575,
-0.31772395968437195,
0.0012352591147646308,
-0.03404896706342697,
-0.34487298130989075,
0.01830502413213253,
0.4467865526676178,
-0.08538582921028137,
-0.07896202802658081,
0.7237135767936707,
-0.16906121373176575,
0.0381770022213459,
-0.11864405870437622,
0.02304716408252716,
-0.1872938871383667,
-0.15366345643997192,
0.04960165545344353,
-0.051594141870737076,
-0.2729282081127167,
0.010612376034259796,
0.5785097479820251,
0.4408789277076721,
0.04504614323377609,
-0.02072584070265293,
-0.45889076590538025,
-0.41634073853492737,
0.0077952793799340725,
-0.18109863996505737,
0.20086121559143066,
-0.08203019946813583,
0.18932244181632996,
0.15709957480430603,
0.015954120084643364,
-0.1874680519104004,
-0.16336217522621155,
0.04029538109898567,
0.2436019629240036,
-0.13371004164218903,
0.022527379915118217,
-0.0700734332203865,
0.08745704591274261,
0.0018108729273080826,
-0.08830492943525314,
-0.2857430875301361,
-0.05251769348978996,
-0.1365341991186142,
0.22036170959472656,
0.06873495876789093,
-0.0029470936860889196,
0.08095471560955048,
-0.19381675124168396,
-0.005588045343756676,
0.16855372488498688,
-0.05514528602361679,
0.10774005204439163,
-0.09697463363409042,
0.19977757334709167,
0.33400028944015503,
0.04802260547876358,
-0.019416028633713722,
0.2950715720653534,
0.11993785947561264,
0.2520240843296051,
-0.047951798886060715,
0.33785951137542725,
-0.19110265374183655,
0.06257543712854385,
0.17886348068714142,
0.20285284519195557,
-0.08617793768644333,
0.17287035286426544,
0.08450338989496231,
-0.10913441330194473,
0.10387425869703293,
0.04550354555249214,
0.3643861711025238,
0.7686907649040222,
-0.2697174847126007,
-0.14736369252204895,
0.43366602063179016,
0.043138351291418076,
-0.207034632563591,
-0.06151563301682472,
0.3559982478618622,
0.09675069153308868,
0.05956510826945305,
0.2429228574037552,
-0.003486514324322343,
-0.019756920635700226,
0.1555713415145874,
0.16882428526878357,
0.08332844078540802,
-0.22388096153736115,
-0.014182274229824543,
0.38112521171569824,
-0.20433002710342407,
0.16130255162715912,
0.36529281735420227,
0.12268375605344772,
0.2558838725090027,
0.1170235276222229,
0.12785831093788147,
0.4928237497806549,
0.06652885675430298,
0.034910984337329865,
0.071229949593544,
0.07629580795764923,
0.0614205040037632,
0.2696569561958313,
-0.09182707220315933,
-0.021174617111682892,
0.37101131677627563,
0.5512710213661194,
-0.3462454676628113,
-0.13162802159786224,
-0.27952107787132263,
-0.1425870656967163,
0.04645572975277901,
-0.18091298639774323,
-0.24025419354438782,
0.013755124062299728,
-0.13747720420360565,
-0.11026789993047714,
-0.15492691099643707,
-0.3587169945240021,
0.24380111694335938,
0.008351651020348072,
-0.36951687932014465,
-0.30901628732681274,
-0.21209539473056793,
0.17734505236148834,
-0.00655336445197463,
-0.31453678011894226,
0.18164925277233124,
-0.06015787273645401,
0.009301981888711452,
0.2860340476036072,
0.2964823246002197,
0.45625099539756775,
0.08334717154502869,
-0.4143472909927368,
-0.25419533252716064,
-0.18059153854846954,
0.06383571028709412,
-0.02755093201994896,
0.34688565135002136,
0.037008918821811676,
-0.1990603655576706,
0.49579232931137085,
0.06062581017613411,
0.035857222974300385,
0.13405029475688934,
0.44267964363098145,
-0.5077695846557617,
-0.12595975399017334,
0.6570250988006592,
-0.06691086292266846,
-0.17114847898483276,
-0.01440021675080061,
0.268285870552063,
-0.31312286853790283,
0.09172555804252625,
-0.0007790211820974946,
-0.04264144226908684,
0.1423482894897461,
0.07496274262666702,
0.025010205805301666,
-0.17087195813655853,
0.4039270877838135,
0.31939437985420227,
0.019597064703702927,
-0.2624469995498657,
-0.2591545879840851,
-0.7384795546531677,
0.1910724639892578,
-0.11629606783390045,
-0.34262776374816895,
-0.07228435575962067,
-0.19995787739753723,
0.24219270050525665,
0.04681188985705376,
-0.1436450332403183,
0.1019250750541687,
0.029758501797914505,
0.14397871494293213,
-0.1850312054157257,
-0.31219449639320374,
-0.20069940388202667,
-0.022074073553085327,
-0.06889425963163376,
-0.40647295117378235,
0.11685853451490402,
-0.36691638827323914,
-0.09841734170913696,
0.07443844527006149,
0.0026450196746736765,
0.5323454141616821,
0.0727049708366394,
0.2942674458026886,
-0.10212331265211105,
0.8140290975570679,
0.1740230917930603,
-0.04890303313732147,
-0.17330366373062134,
0.11475560814142227,
-0.10631595551967621,
0.16286912560462952,
-0.12736451625823975,
0.11199052631855011,
-0.20888228714466095,
0.48685672879219055,
-0.3890763223171234,
0.6018153429031372,
-0.017861103639006615,
0.08193943649530411,
-0.28256478905677795,
0.011468818411231041,
-0.2549227178096771,
0.08918774873018265,
0.2956138253211975,
0.19525976479053497,
-0.07665391266345978,
0.35480573773384094,
-0.15306326746940613,
-0.25798699259757996,
0.41756871342658997,
-0.16063283383846283,
-0.11916568130254745,
0.03131844103336334,
0.22146037220954895,
-0.012548786588013172,
-0.09062953293323517,
-0.4313504993915558,
0.19755926728248596,
0.30649811029434204,
-0.06527047604322433,
0.03529047966003418,
0.19647490978240967,
0.22549015283584595,
0.09795273840427399,
-0.005873700138181448,
0.9912323951721191,
-0.10930512845516205,
0.11685183644294739,
-0.1647680103778839,
-0.256541907787323
] |
https://github.com/huggingface/datasets/issues/161 | Discussion on version identifier & MockDataLoaderManager for test data | > Maybe use the YYYY.MM.DD as the config name ? That's what we are doing for wikipedia
I'm not sure if this will work because the name should be unique and it seems that he has multiple config name in his data with the same version.
As @patrickvonplaten suggested, I think you can add a comment about the version in the data description. | Hi, I'm working on adding a dataset and ran into an error due to `download` not being defined on `MockDataLoaderManager`, but being defined in `nlp/utils/download_manager.py`. The readme step running this: `RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_dataset_localmydatasetname` triggers the error. If I can get something to work, I can include it in my data PR once I'm done. | 63 | Discussion on version identifier & MockDataLoaderManager for test data
Hi, I'm working on adding a dataset and ran into an error due to `download` not being defined on `MockDataLoaderManager`, but being defined in `nlp/utils/download_manager.py`. The readme step running this: `RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_dataset_localmydatasetname` triggers the error. If I can get something to work, I can include it in my data PR once I'm done.
> Maybe use the YYYY.MM.DD as the config name ? That's what we are doing for wikipedia
I'm not sure if this will work because the name should be unique and it seems that he has multiple config name in his data with the same version.
As @patrickvonplaten suggested, I think you can add a comment about the version in the data description. | [
-0.08671984076499939,
0.273745596408844,
0.011248845607042313,
-0.14076071977615356,
0.0627119392156601,
-0.04816705361008644,
0.39387497305870056,
0.3804906904697418,
0.08933466672897339,
0.20729294419288635,
0.25848400592803955,
0.14728517830371857,
-0.23994077742099762,
-0.015442755073308945,
0.04751227796077728,
-0.006765051744878292,
-0.0585150420665741,
0.21216976642608643,
-0.029032966122031212,
0.2738310694694519,
-0.084898941218853,
-0.01112412754446268,
0.07523125410079956,
0.0901787132024765,
-0.04472048208117485,
0.11217653006315231,
-0.12271810322999954,
-0.06276867538690567,
-0.2637859284877777,
-0.924858033657074,
0.34500542283058167,
0.12437280267477036,
0.1424257457256317,
0.5053983926773071,
-0.00012234803580213338,
-0.05318630114197731,
0.6260414719581604,
-0.10737137496471405,
-0.699290931224823,
-0.150202214717865,
0.2308252900838852,
-0.4619854986667633,
0.28589946031570435,
-0.18482576310634613,
0.034543514251708984,
-0.13203270733356476,
0.23104502260684967,
0.050338588654994965,
0.09132016450166702,
0.14613552391529083,
0.1093360185623169,
0.14259831607341766,
0.11537960171699524,
-0.16234879195690155,
-0.10149726271629333,
0.0278070829808712,
-0.09675868600606918,
0.5679475665092468,
0.2544052004814148,
0.13260518014431,
0.01634714938700199,
-0.01072561927139759,
0.06912686675786972,
0.454142302274704,
0.13088621199131012,
-0.05509152635931969,
0.526400089263916,
0.054601989686489105,
-0.12745775282382965,
0.13458876311779022,
0.9771100282669067,
-0.5941922664642334,
-0.340108186006546,
0.009945991449058056,
0.1404201239347458,
-0.003393951104953885,
0.24677704274654388,
-0.17631345987319946,
-0.36520880460739136,
0.008559276349842548,
-0.09733223915100098,
-0.2902485132217407,
-0.1943589299917221,
0.34757253527641296,
-0.2534489333629608,
0.4243464469909668,
0.13284392654895782,
0.21705570816993713,
-0.05047548934817314,
-0.23413099348545074,
0.14442528784275055,
-0.04758596420288086,
0.06462268531322479,
0.12047538161277771,
0.06505198776721954,
-0.31929996609687805,
-0.47052884101867676,
-0.3281736671924591,
0.11238016188144684,
-0.17740800976753235,
-0.40035566687583923,
-0.24110478162765503,
0.06570754200220108,
0.20268851518630981,
0.12156537175178528,
0.19925355911254883,
0.38518908619880676,
0.2224496752023697,
0.2539424002170563,
0.1447163224220276,
0.17460262775421143,
0.20782192051410675,
0.023900508880615234,
-0.4101082384586334,
0.0025964260566979647,
0.03073345310986042,
0.2849094867706299,
-0.2973402440547943,
0.017244623973965645,
-0.1251344382762909,
-0.36313822865486145,
-0.026332613080739975,
-0.21659742295742035,
0.35842540860176086,
-0.2512478232383728,
-0.22439903020858765,
0.08188780397176743,
0.3014509975910187,
-0.10217802226543427,
-0.07199326157569885,
-0.02329467050731182,
0.024575229734182358,
-0.12462446838617325,
0.11025360971689224,
0.24170301854610443,
0.08670426160097122,
0.4142281413078308,
-0.229518324136734,
-0.15621726214885712,
-0.125001922249794,
-0.003739507868885994,
0.21193449199199677,
-0.23602941632270813,
0.3118695616722107,
-0.17207123339176178,
0.0903826430439949,
0.025926275178790092,
-0.43858593702316284,
-0.3004496395587921,
0.1951528787612915,
0.08729209005832672,
-0.34400734305381775,
-0.11515448242425919,
0.0968005359172821,
-0.55954909324646,
-0.08119646459817886,
0.1679890900850296,
-0.12055958807468414,
0.13395187258720398,
-0.46944504976272583,
0.0365447960793972,
-0.2592834532260895,
-0.30312782526016235,
-0.15861903131008148,
-0.0653037577867508,
0.270070344209671,
-0.31470558047294617,
-0.3589436411857605,
-0.3312329351902008,
-0.20738713443279266,
0.09957811236381531,
-0.3180849254131317,
-0.03698398917913437,
0.13217461109161377,
-0.2359393835067749,
-0.07427416741847992,
0.572056770324707,
-0.5332984924316406,
-0.3166053295135498,
0.41642817854881287,
-0.34503814578056335,
-0.24903054535388947,
0.2598501443862915,
0.024156855419278145,
0.16989918053150177,
-0.26485475897789,
-0.12308786809444427,
-0.05039875954389572,
0.12207343429327011,
-0.10380498319864273,
-0.19102099537849426,
-0.41373634338378906,
0.09981698542833328,
0.27179497480392456,
-0.10852324217557907,
0.1087997779250145,
0.12809617817401886,
0.19002781808376312,
0.4033348560333252,
0.0872235968708992,
0.12643897533416748,
-0.08443984389305115,
0.19085736572742462,
-0.09954743832349777,
-0.15517735481262207,
-0.03792794793844223,
-0.6501653790473938,
0.28278541564941406,
-0.02253596857190132,
0.22074227035045624,
0.029344309121370316,
-0.11142086982727051,
-0.5947405099868774,
-0.07118973881006241,
-0.014744791202247143,
-0.22981150448322296,
0.038247235119342804,
0.24519817531108856,
0.040380965918302536,
0.028741950169205666,
0.13230161368846893,
-0.06919849663972855,
-0.17278480529785156,
0.15835656225681305,
-0.05750015005469322,
-0.03594789281487465,
-0.10883518308401108,
0.10054513812065125,
0.14131931960582733,
0.19206170737743378,
0.08820591121912003,
-0.2097431719303131,
-0.00825817883014679,
0.1989326924085617,
0.26645469665527344,
0.29947489500045776,
0.17117862403392792,
-0.039752498269081116,
0.11774808168411255,
0.16865314543247223,
0.2221967726945877,
0.2807430624961853,
0.0006244280957616866,
-0.26477786898612976,
0.012451709248125553,
0.1801752746105194,
0.28095564246177673,
-0.021284230053424835,
-0.31741616129875183,
-0.0282784104347229,
0.31934472918510437,
0.06371920555830002,
-0.16110476851463318,
-0.2894611060619354,
0.04568502679467201,
0.3787924647331238,
0.558190107345581,
-0.052863460034132004,
0.1500062495470047,
-0.24769987165927887,
-0.24770930409431458,
-0.3083849847316742,
0.01466447301208973,
0.09064150601625443,
-0.17407093942165375,
-0.025309555232524872,
0.05884447693824768,
0.2664114832878113,
0.6372908353805542,
0.0469011552631855,
0.14139960706233978,
0.08129139989614487,
-0.23515844345092773,
-0.123539499938488,
0.17031624913215637,
0.18290230631828308,
0.126407191157341,
0.14134620130062103,
-0.00915686134248972,
-0.28563192486763,
0.02741549164056778,
-0.03308280184864998,
0.4702056050300598,
0.32481294870376587,
-0.3375099003314972,
-0.10117241740226746,
-0.23019495606422424,
-0.3934481143951416,
-0.5377240777015686,
-0.43573370575904846,
-0.4151231646537781,
-0.301993191242218,
-0.038001175969839096,
0.29891496896743774,
0.02140120044350624,
0.3244086802005768,
-0.21723338961601257,
0.2908102869987488,
-0.2720581293106079,
-0.4005085825920105,
0.05991295725107193,
-0.28607839345932007,
-0.31616517901420593,
0.008332767523825169,
0.2427157759666443,
-0.040145646780729294,
0.47745394706726074,
-0.09524847567081451,
-0.3994390070438385,
-0.2494906485080719,
-0.32829493284225464,
0.08962191641330719,
0.0833933874964714,
0.5332787036895752,
0.4108940660953522,
0.11481565237045288,
0.5304835438728333,
-0.03753027319908142,
0.017749100923538208,
-0.07441163063049316,
-0.35614147782325745,
-0.23214009404182434,
-0.014168757945299149,
0.21951976418495178,
-0.05585182458162308,
-0.3374412953853607,
-0.5183433890342712,
-0.1113724634051323,
0.08031614869832993,
0.05806170031428337,
0.07833331823348999,
0.21258750557899475,
-0.09202153235673904,
0.10448309034109116,
0.06396188586950302,
0.012659265659749508,
-0.13171154260635376,
0.12492069602012634,
0.04393602907657623,
-0.1699933409690857,
-0.03391916677355766,
0.12768371403217316,
-0.06895323842763901,
0.04899919033050537,
-0.1415828913450241,
-0.43566036224365234,
-0.40003150701522827,
0.16557349264621735,
0.1715940535068512,
0.3695300221443176,
-0.29879215359687805,
0.25390881299972534,
0.21395662426948547,
0.12991198897361755,
-0.10910607129335403,
-0.42786070704460144,
0.2279863953590393,
0.10129110515117645,
0.32825008034706116,
0.2778738737106323,
0.3687107563018799,
-0.19837813079357147,
0.8586011528968811,
0.20692852139472961,
-0.21062274277210236,
-0.14095476269721985,
-0.24552209675312042,
-0.0657978504896164,
0.03593484312295914,
0.013525753282010555,
0.21882039308547974,
-0.027355918660759926,
-0.3129956126213074,
0.3082881569862366,
-0.23085860908031464,
-0.1324727088212967,
-0.12156078219413757,
0.2083231657743454,
-0.02576589025557041,
-0.11315485835075378,
0.0600837878882885,
-0.14215582609176636,
0.06087641417980194,
0.008019189350306988,
-0.06661414355039597,
-0.2422121912240982,
-0.25388792157173157,
0.02873443067073822,
0.33859914541244507,
-0.18706993758678436,
0.1998986303806305,
-0.15251682698726654,
0.01847412995994091,
-0.4077704846858978,
0.33840230107307434,
0.3403620421886444,
0.547407865524292,
0.12012167274951935,
-0.035384401679039,
0.13025228679180145,
0.14203676581382751,
0.20741406083106995,
-0.09370391815900803,
0.1443241834640503,
0.2877644896507263,
-0.07581449300050735,
-0.13675837218761444,
-0.3179684579372406,
0.03660057857632637,
0.18235020339488983,
0.0333266519010067,
0.12281104177236557,
-0.4709642827510834,
-0.09846235066652298,
0.28636637330055237,
0.19446662068367004,
-0.16313207149505615,
-0.33340024948120117,
-0.10241449624300003,
0.048791732639074326,
-0.07874704897403717,
-0.2163066267967224,
-0.24037276208400726,
0.044299300760030746,
-0.03885578736662865,
0.30862000584602356,
0.008862723596394062,
-0.03533443808555603,
-0.0612187497317791,
0.26634860038757324,
0.20314045250415802,
-0.20016597211360931,
0.28932344913482666,
0.2616364657878876,
0.08416636288166046,
0.31533554196357727,
0.20172272622585297,
-0.08268697559833527,
-0.2403508573770523,
-0.08250275999307632,
0.017410922795534134,
0.3056637644767761,
0.30834776163101196,
0.2403547316789627,
-0.00855755340307951,
-0.1876193732023239,
-0.1448666900396347,
-0.289258748292923,
0.16906285285949707,
0.29359254240989685,
-0.1301058828830719,
-0.1003357321023941,
-0.3282800018787384,
0.7530408501625061,
0.17228107154369354,
-0.2961042821407318,
0.5668509006500244,
-0.23936691880226135,
-0.41096031665802,
-0.013560524210333824,
0.10263261944055557,
0.9836562871932983,
0.07682172954082489,
0.21855442225933075,
0.22350861132144928,
-0.1969560980796814,
0.39025235176086426,
0.16065636277198792,
0.06136526167392731,
-0.5651342272758484,
0.0880422592163086,
0.029159367084503174,
-0.09895409643650055,
0.24448086321353912,
-0.06411704421043396,
-0.35170358419418335,
0.3407963812351227,
0.08218154311180115,
0.2972547709941864,
0.25180670619010925,
0.3703327476978302,
-0.04620549827814102,
-0.039256803691387177,
-0.24055273830890656,
0.05103302374482155,
-0.22437357902526855,
0.37193697690963745,
-0.21973858773708344,
0.034164924174547195,
-0.18881767988204956,
-0.07785941660404205,
-0.3279077112674713,
-0.23957979679107666,
-0.1501387059688568,
0.0694773718714714,
0.019197266548871994,
-0.18754331767559052,
-0.027795149013400078,
0.239035964012146,
0.06307165324687958,
-0.12049339711666107,
-0.1902083158493042,
0.11415395885705948,
-0.20278127491474152,
0.08895660191774368,
0.23756326735019684,
-0.017683355137705803,
0.3286876380443573,
-0.34493783116340637,
-0.11815705895423889,
0.15308457612991333,
-0.18728309869766235,
-0.23272433876991272,
-0.0833960622549057,
-0.1945824772119522,
0.04582151770591736,
-0.34027716517448425,
-0.24017763137817383,
-0.07632226496934891,
0.027845434844493866,
-0.10413629561662674,
0.03824272379279137,
0.16137807071208954,
-0.32575690746307373,
0.017180269584059715,
0.054205406457185745,
-0.33293408155441284,
0.046963758766651154,
0.3687140643596649,
-0.08637402206659317,
-0.0008776349714025855,
0.6735665202140808,
-0.24754735827445984,
0.08735307306051254,
-0.10800743103027344,
0.00033712037838995457,
-0.3327264189720154,
-0.13322988152503967,
-0.04113619029521942,
-0.04393399879336357,
-0.2875959277153015,
-0.06571567058563232,
0.5596664547920227,
0.5117820501327515,
0.10100788623094559,
0.06241808459162712,
-0.38301143050193787,
-0.34222716093063354,
0.075409434735775,
-0.129617378115654,
0.26565811038017273,
-0.0739363506436348,
0.2888072729110718,
0.09227912873029709,
0.04482703655958176,
-0.20386141538619995,
-0.14279797673225403,
0.01740557700395584,
0.23781272768974304,
-0.16256770491600037,
0.12307775020599365,
-0.1156911849975586,
0.028433891013264656,
-0.014392982237040997,
-0.10343105345964432,
-0.26048579812049866,
-0.04680173099040985,
-0.16584137082099915,
0.22512228786945343,
0.03080495446920395,
0.08343648165464401,
0.012772759422659874,
-0.18992915749549866,
0.09936905652284622,
0.17254605889320374,
0.004947949666529894,
0.11314799636602402,
-0.06754762679338455,
0.27282893657684326,
0.32850587368011475,
0.11845210194587708,
-0.12467195838689804,
0.275012731552124,
0.10709898918867111,
0.21082906424999237,
-0.006237783934921026,
0.3608352243900299,
-0.2627812922000885,
0.036621373146772385,
0.1833154261112213,
0.18572746217250824,
-0.20793026685714722,
0.13544900715351105,
0.0163811594247818,
-0.04313158988952637,
0.03326166421175003,
0.1499873548746109,
0.3344956040382385,
0.7781229019165039,
-0.31009310483932495,
-0.1703513115644455,
0.45299527049064636,
0.06668009608983994,
-0.19272927939891815,
-0.051059335470199585,
0.33120468258857727,
0.04032472148537636,
0.07683945447206497,
0.2602328062057495,
0.011644672602415085,
-0.06465549767017365,
0.1997528225183487,
0.1704651117324829,
-0.010798294097185135,
-0.2592611312866211,
0.08984925597906113,
0.3426213562488556,
-0.18214958906173706,
0.16570408642292023,
0.3916594684123993,
0.14826297760009766,
0.2784763276576996,
0.007382862735539675,
0.13599705696105957,
0.4200582802295685,
0.041429661214351654,
-0.07995530962944031,
0.09235914796590805,
0.11966153979301453,
0.10311797261238098,
0.27148836851119995,
-0.11963281780481339,
0.038716547191143036,
0.40465444326400757,
0.5331208109855652,
-0.28116029500961304,
-0.14102189242839813,
-0.3413611352443695,
-0.1561206728219986,
0.06328210979700089,
-0.20392915606498718,
-0.31007611751556396,
0.02806445024907589,
-0.12455962598323822,
-0.12496007233858109,
-0.17175225913524628,
-0.37852680683135986,
0.26906657218933105,
0.06951320916414261,
-0.37244588136672974,
-0.333720862865448,
-0.21656247973442078,
0.24834291636943817,
0.09708008170127869,
-0.35574087500572205,
0.1587713658809662,
-0.023697778582572937,
-0.03222324699163437,
0.29715946316719055,
0.3373473286628723,
0.4456098973751068,
-0.01678207702934742,
-0.3285938501358032,
-0.2467666119337082,
-0.16939695179462433,
0.09490437805652618,
0.03207847476005554,
0.20311395823955536,
0.010795685462653637,
-0.30086565017700195,
0.550868570804596,
0.07143070548772812,
0.05135597661137581,
0.1238614022731781,
0.3914083242416382,
-0.4377101957798004,
-0.17570704221725464,
0.5832920670509338,
-0.017454519867897034,
-0.18201778829097748,
0.005244133062660694,
0.24484995007514954,
-0.3289758265018463,
0.18183214962482452,
0.021824520081281662,
0.04144603759050369,
0.14532457292079926,
0.08675654232501984,
0.021520040929317474,
-0.11364626884460449,
0.4138195812702179,
0.28322020173072815,
-0.067356176674366,
-0.26395875215530396,
-0.22315619885921478,
-0.7593225240707397,
0.180171936750412,
-0.1377023160457611,
-0.370753675699234,
0.0003883876488544047,
-0.21278594434261322,
0.2463700920343399,
0.03339163586497307,
-0.11697360128164291,
-0.017687400802969933,
-0.004546359647065401,
0.18568411469459534,
-0.23927155137062073,
-0.35890623927116394,
-0.13322201371192932,
0.014740511775016785,
0.013599262572824955,
-0.3658693730831146,
0.11531128734350204,
-0.2808385193347931,
-0.11550098657608032,
0.06102651357650757,
0.012041691690683365,
0.5453344583511353,
0.053664542734622955,
0.24777285754680634,
-0.16881847381591797,
0.7727631330490112,
0.15961353480815887,
-0.06455005705356598,
-0.15310174226760864,
0.09544995427131653,
-0.13104121387004852,
0.14249837398529053,
-0.08216863125562668,
0.129333958029747,
-0.1667127162218094,
0.49388009309768677,
-0.3666071891784668,
0.5406870245933533,
-0.09922441840171814,
0.08082917332649231,
-0.221819207072258,
-0.03709638491272926,
-0.15141688287258148,
0.1198631227016449,
0.22769054770469666,
0.27160727977752686,
-0.10734843462705612,
0.3570460081100464,
-0.23412708938121796,
-0.3536113202571869,
0.4814949333667755,
-0.10037027299404144,
-0.1550838053226471,
0.021687589585781097,
0.32063207030296326,
-0.09507036209106445,
0.07444137334823608,
-0.4297248125076294,
0.23768393695354462,
0.32410743832588196,
-0.040602680295705795,
0.008705069310963154,
0.2114335149526596,
0.22685372829437256,
0.08315151929855347,
0.0017670484958216548,
1.0600346326828003,
-0.10923629999160767,
0.023447591811418533,
-0.2541798949241638,
-0.311448872089386
] |
https://github.com/huggingface/datasets/issues/161 | Discussion on version identifier & MockDataLoaderManager for test data | Actually maybe our versioning format (inherited from tfds) is too strong for what we use it for?
We could allow any string maybe?
I see it more and more like an identifier for the user that we will back with a serious hashing/versioning system.- so we could let the user quite free on it. | Hi, I'm working on adding a dataset and ran into an error due to `download` not being defined on `MockDataLoaderManager`, but being defined in `nlp/utils/download_manager.py`. The readme step running this: `RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_dataset_localmydatasetname` triggers the error. If I can get something to work, I can include it in my data PR once I'm done. | 54 | Discussion on version identifier & MockDataLoaderManager for test data
Hi, I'm working on adding a dataset and ran into an error due to `download` not being defined on `MockDataLoaderManager`, but being defined in `nlp/utils/download_manager.py`. The readme step running this: `RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_dataset_localmydatasetname` triggers the error. If I can get something to work, I can include it in my data PR once I'm done.
Actually maybe our versioning format (inherited from tfds) is too strong for what we use it for?
We could allow any string maybe?
I see it more and more like an identifier for the user that we will back with a serious hashing/versioning system.- so we could let the user quite free on it. | [
-0.15275059640407562,
0.21056875586509705,
0.005355939269065857,
-0.15212278068065643,
0.1695316880941391,
-0.12297339737415314,
0.3444485664367676,
0.3772253096103668,
0.013979267328977585,
0.22968502342700958,
0.1677795946598053,
0.01522478275001049,
-0.3342418074607849,
0.031307339668273926,
0.02281864546239376,
-0.1002444177865982,
-0.059414781630039215,
0.19700652360916138,
-0.07303546369075775,
0.34329548478126526,
-0.06011231988668442,
-0.07316159456968307,
0.001971287652850151,
0.19343025982379913,
0.010818032547831535,
0.14580407738685608,
-0.11535069346427917,
-0.018754221498966217,
-0.3885173201560974,
-0.8583573698997498,
0.1343807727098465,
0.09185009449720383,
0.23209898173809052,
0.43688514828681946,
-0.00012612351565621793,
-0.07396578043699265,
0.5866605043411255,
-0.024041924625635147,
-0.7674416303634644,
-0.16982939839363098,
0.34464311599731445,
-0.3756413757801056,
0.253552109003067,
-0.06577913463115692,
0.11372017115354538,
-0.18384258449077606,
0.18135395646095276,
0.07539646327495575,
0.1361466348171234,
0.24555979669094086,
0.09919435530900955,
0.3106924295425415,
0.02813064679503441,
-0.11110108345746994,
-0.059569746255874634,
0.12354490906000137,
-0.14380046725273132,
0.5142219662666321,
0.4895510971546173,
0.24067041277885437,
-0.07860230654478073,
-0.07082390040159225,
0.06261537224054337,
0.43598079681396484,
0.1371396780014038,
-0.03264617174863815,
0.538478434085846,
0.04423658922314644,
-0.19004222750663757,
0.1604461371898651,
0.894517183303833,
-0.5086085796356201,
-0.46555274724960327,
-0.06761395186185837,
0.017939995974302292,
-0.10367345064878464,
0.1076577827334404,
-0.19388914108276367,
-0.37744978070259094,
0.20891009271144867,
-0.16695886850357056,
-0.332184761762619,
-0.09903969615697861,
0.28893008828163147,
-0.17620806396007538,
0.23123683035373688,
0.12704646587371826,
0.25155335664749146,
-0.02958393655717373,
-0.06738045811653137,
0.15492773056030273,
-0.05209431052207947,
0.015269262716174126,
0.13405314087867737,
0.08804331719875336,
-0.33190926909446716,
-0.4149751663208008,
-0.29810646176338196,
0.1995217502117157,
0.025635965168476105,
-0.5338367223739624,
-0.1899031400680542,
-0.06855525821447372,
0.1762411743402481,
0.08776427060365677,
0.2744113504886627,
0.36686980724334717,
0.22054262459278107,
0.31181737780570984,
-0.010775068774819374,
0.2858647406101227,
0.21933391690254211,
-0.005531912669539452,
-0.27972158789634705,
-0.0023882880341261625,
0.07539422065019608,
0.1061919778585434,
-0.2118775099515915,
-0.021384794265031815,
-0.25974979996681213,
-0.42282989621162415,
-0.0277204941958189,
-0.09297042340040207,
0.23292526602745056,
-0.17843341827392578,
-0.14660847187042236,
-0.019973186776041985,
0.3341646194458008,
-0.10098520666360855,
-0.19496291875839233,
-0.00010885216033784673,
-0.020320644602179527,
-0.24842937290668488,
-0.060860831290483475,
0.22468259930610657,
-0.13178715109825134,
0.3598700761795044,
-0.35544338822364807,
-0.1441565901041031,
-0.038140442222356796,
-0.022520659491419792,
0.030894549563527107,
-0.17065273225307465,
0.2882431745529175,
-0.23571926355361938,
0.01707245036959648,
0.0558258593082428,
-0.30029040575027466,
-0.21881386637687683,
0.21825015544891357,
-0.003230085363611579,
-0.43608349561691284,
-0.13643601536750793,
0.06006936356425285,
-0.5637038350105286,
0.021724311634898186,
0.047286294400691986,
-0.16956304013729095,
0.18883542716503143,
-0.2967648506164551,
0.14172504842281342,
-0.2503831386566162,
-0.3607434332370758,
-0.1515684276819229,
-0.17838239669799805,
0.22806371748447418,
-0.3107922077178955,
-0.2898622453212738,
-0.2297290712594986,
-0.3846811354160309,
0.07798049598932266,
-0.13051722943782806,
-0.07232149690389633,
0.20862610638141632,
-0.3361049294471741,
-0.035918623208999634,
0.6512773633003235,
-0.5617482662200928,
-0.28832465410232544,
0.6501526236534119,
-0.399601012468338,
-0.25953438878059387,
0.2737455666065216,
-0.07270032912492752,
0.1499107927083969,
-0.4444637596607208,
-0.13253633677959442,
0.004221390932798386,
-0.044506873935461044,
-0.11314117163419724,
-0.08715642243623734,
-0.424634724855423,
0.20988085865974426,
0.20373652875423431,
-0.06479071080684662,
0.22341375052928925,
0.12184417992830276,
0.1067122370004654,
0.4471714496612549,
0.035212986171245575,
0.16927528381347656,
-0.21021677553653717,
0.2047894299030304,
-0.1228681355714798,
-0.10746610909700394,
-0.13562557101249695,
-0.585386335849762,
0.2420368492603302,
-0.04733578860759735,
0.1534973382949829,
-0.006374089978635311,
-0.06405385583639145,
-0.44171759486198425,
0.02850278653204441,
0.10575579851865768,
-0.21586696803569794,
-0.05539095029234886,
0.14584685862064362,
0.02506588026881218,
-0.03469611704349518,
-0.026319997385144234,
-0.00754122156649828,
-0.2913225293159485,
0.1625145822763443,
0.20891259610652924,
-0.14848405122756958,
-0.08332175016403198,
0.0995795950293541,
0.15043047070503235,
0.2522902488708496,
-0.0697937160730362,
-0.30531641840934753,
0.020699020475149155,
0.3233891725540161,
0.2586059868335724,
0.1494382619857788,
0.07985381036996841,
0.05053427815437317,
0.18621492385864258,
0.2668223977088928,
0.14637485146522522,
0.20671044290065765,
0.024877401068806648,
-0.2785700857639313,
0.023999091237783432,
0.1552950143814087,
0.1547406017780304,
-0.02467266656458378,
-0.21239568293094635,
-0.042883988469839096,
0.29666978120803833,
0.08589237928390503,
-0.15950730443000793,
-0.28861600160598755,
0.10071886330842972,
0.2132440060377121,
0.627163290977478,
0.013069737702608109,
0.2344064563512802,
-0.16070246696472168,
-0.1911907196044922,
-0.41979601979255676,
0.047629304230213165,
0.2504354417324066,
-0.08639710396528244,
-0.06156637892127037,
-0.038702208548784256,
0.2455977350473404,
0.8113173842430115,
0.007162834983319044,
0.2236735075712204,
0.05936557799577713,
-0.06221948564052582,
-0.20312698185443878,
0.21539635956287384,
0.18741698563098907,
-0.019955186173319817,
0.14958515763282776,
-0.009534542448818684,
-0.2130720466375351,
0.01115147303789854,
-0.029949406161904335,
0.3745068609714508,
0.38911446928977966,
-0.45985060930252075,
-0.07126305252313614,
-0.24342291057109833,
-0.463784784078598,
-0.3513341546058655,
-0.32140496373176575,
-0.2830216884613037,
-0.2886621952056885,
-0.07606194168329239,
0.32052522897720337,
0.042950984090566635,
0.2218054085969925,
-0.27010688185691833,
0.255303293466568,
-0.26923424005508423,
-0.2900586724281311,
0.03959781676530838,
-0.13836514949798584,
-0.37830349802970886,
-0.010134385898709297,
0.20340515673160553,
-0.1298724263906479,
0.4923700988292694,
-0.04010821878910065,
-0.2758663296699524,
-0.2192285805940628,
-0.3464270532131195,
0.17859651148319244,
-0.008020536042749882,
0.5385330319404602,
0.5283279418945312,
0.011746515519917011,
0.4922002851963043,
0.045098062604665756,
-0.10305880010128021,
-0.2824665307998657,
-0.4460033178329468,
-0.19963937997817993,
0.045424144715070724,
0.12376141548156738,
-0.2252001017332077,
-0.24200595915317535,
-0.5144338607788086,
-0.10970614105463028,
0.1445297747850418,
-0.03499860689043999,
0.12034542113542557,
0.2705279588699341,
-0.1861667037010193,
0.13806486129760742,
-0.006836606189608574,
-0.06195502355694771,
-0.15893426537513733,
0.0721367672085762,
-0.09341389685869217,
-0.15120366215705872,
-0.15034709870815277,
0.05138750001788139,
0.00914393924176693,
-0.026123177260160446,
-0.035869721323251724,
-0.34018945693969727,
-0.4658869206905365,
0.15529783070087433,
0.1391378492116928,
0.3482474088668823,
-0.22888343036174774,
0.19969873130321503,
0.2338801622390747,
0.16123837232589722,
-0.06107689067721367,
-0.34528395533561707,
0.14796294271945953,
0.0475279875099659,
0.24498209357261658,
0.26928848028182983,
0.4195292890071869,
-0.01958582177758217,
0.7755745649337769,
0.1433252990245819,
-0.0958903357386589,
-0.07831888645887375,
-0.2671537399291992,
0.006282196380198002,
-0.054247502237558365,
-0.005567108280956745,
0.3108571171760559,
-0.10074716806411743,
-0.2828232944011688,
0.31856876611709595,
-0.18947528302669525,
0.05149240046739578,
-0.09044535458087921,
0.26561617851257324,
-0.06809332221746445,
-0.04419085383415222,
0.050073593854904175,
-0.2819506525993347,
0.03933994099497795,
-0.01265739556401968,
-0.037520136684179306,
-0.13320250809192657,
-0.21860459446907043,
0.0995267927646637,
0.36235517263412476,
-0.01867976039648056,
0.2903425395488739,
-0.11583919078111649,
0.1568783074617386,
-0.3423962891101837,
0.2570706903934479,
0.4411432147026062,
0.6185426115989685,
0.08319737762212753,
0.09134770184755325,
0.18326568603515625,
0.12001969665288925,
0.227323979139328,
-0.03647739067673683,
0.23378126323223114,
0.06326079368591309,
-0.23603500425815582,
-0.017865899950265884,
-0.22646179795265198,
0.0005943626747466624,
0.09605222195386887,
-0.07572035491466522,
0.1736181676387787,
-0.4774003028869629,
-0.23207791149616241,
0.21772131323814392,
0.1053234413266182,
-0.07665782421827316,
-0.3893098831176758,
-0.06505267322063446,
0.03828467056155205,
-0.05286506935954094,
-0.31292611360549927,
-0.13613063097000122,
-0.00522266048938036,
-0.08902177214622498,
0.433249831199646,
-0.10226177424192429,
-0.14556972682476044,
-0.005133001133799553,
0.10432876646518707,
0.044709961861371994,
-0.19614440202713013,
0.20612120628356934,
0.19784873723983765,
0.17465130984783173,
0.21705131232738495,
0.18835365772247314,
-0.08402637392282486,
-0.1561625748872757,
-0.03743548318743706,
-0.05730273202061653,
0.3986187279224396,
0.36632469296455383,
0.10062605887651443,
0.042771678417921066,
-0.21017621457576752,
-0.1530296951532364,
-0.3422596752643585,
0.22055666148662567,
0.28233087062835693,
-0.16399046778678894,
-0.05102985352277756,
-0.28409048914909363,
0.6471728086471558,
0.14356403052806854,
-0.2456750124692917,
0.4512069821357727,
-0.15048614144325256,
-0.30368807911872864,
-0.025457872077822685,
0.12860232591629028,
0.9857165813446045,
0.043363623321056366,
0.22869525849819183,
0.3851467967033386,
-0.3389439284801483,
0.42819687724113464,
0.14748504757881165,
0.0266636423766613,
-0.5198192000389099,
-0.05517934262752533,
-0.05943072959780693,
-0.16547302901744843,
0.27415212988853455,
-0.15859279036521912,
-0.20023567974567413,
0.3456081748008728,
0.087950199842453,
0.3736143410205841,
0.4137504994869232,
0.3992362916469574,
-0.10544586926698685,
-0.05788305774331093,
-0.16087813675403595,
0.022065000608563423,
-0.18493744730949402,
0.2843337953090668,
-0.2157171070575714,
-0.020653011277318,
-0.18661019206047058,
-0.02854021266102791,
-0.24675104022026062,
-0.2373766005039215,
-0.12553027272224426,
0.017984716221690178,
0.14046046137809753,
-0.10922040790319443,
0.05769878625869751,
0.16871440410614014,
0.18284763395786285,
-0.09496679902076721,
-0.1353597790002823,
0.025371327996253967,
-0.2317042499780655,
0.2188095599412918,
0.304460734128952,
0.02827681228518486,
0.3999040424823761,
-0.2815256714820862,
-0.07076083868741989,
0.14869137108325958,
-0.2799606919288635,
-0.2452794462442398,
-0.17162957787513733,
-0.21621999144554138,
0.16090381145477295,
-0.3544023334980011,
-0.26525357365608215,
-0.184625506401062,
-0.02043423242866993,
-0.03614290803670883,
-0.038548678159713745,
0.23290947079658508,
-0.330003947019577,
-0.013232219964265823,
-0.037422340363264084,
-0.3219466209411621,
0.03071548417210579,
0.48213693499565125,
-0.04637771472334862,
-0.17012383043766022,
0.630793571472168,
-0.241555854678154,
0.0289763193577528,
-0.08974562585353851,
0.03222336620092392,
-0.18571686744689941,
-0.18621842563152313,
0.038523223251104355,
-0.07007140666246414,
-0.3210484981536865,
-0.034937869757413864,
0.6218964457511902,
0.5002502202987671,
0.026228822767734528,
-0.07093372195959091,
-0.42394715547561646,
-0.47686007618904114,
-0.019826892763376236,
-0.21596616506576538,
0.1438417136669159,
-0.20705556869506836,
0.30472201108932495,
0.09505732357501984,
0.03632878139615059,
-0.16911883652210236,
-0.23322820663452148,
0.1270904392004013,
0.26113513112068176,
-0.20231211185455322,
0.03588193282485008,
-0.010399928316473961,
0.04883396252989769,
-0.0775550976395607,
0.05452252924442291,
-0.3443523347377777,
-0.02274063602089882,
-0.22121770679950714,
0.24034826457500458,
0.12901589274406433,
0.01588352955877781,
0.1009758859872818,
-0.12922441959381104,
-0.03020513243973255,
0.19713303446769714,
-0.03883172199130058,
0.1435362845659256,
-0.08869193494319916,
0.26557841897010803,
0.31917962431907654,
0.16784889996051788,
-0.08941975235939026,
0.29042360186576843,
0.08135984092950821,
0.2633022367954254,
-0.03736265376210213,
0.3029986619949341,
-0.22787153720855713,
0.03696596622467041,
0.1037135198712349,
0.2465103566646576,
-0.018953701481223106,
0.2433106005191803,
0.11851630359888077,
-0.08313387632369995,
0.09952298551797867,
0.0027660417836159468,
0.3833668828010559,
0.776116669178009,
-0.1842089742422104,
-0.31482037901878357,
0.4969840347766876,
0.01780637353658676,
-0.10703188180923462,
0.0064505706541240215,
0.2476186752319336,
0.16800203919410706,
0.025308435782790184,
0.36049529910087585,
0.030094314366579056,
-0.035909656435251236,
0.09229408204555511,
0.1062341034412384,
0.0886678472161293,
-0.2641746997833252,
-0.2379089891910553,
0.5210921168327332,
-0.22591142356395721,
0.24124954640865326,
0.3535764813423157,
0.13580672442913055,
0.29599884152412415,
0.037660591304302216,
0.07566310465335846,
0.5019500851631165,
-0.010013422928750515,
0.04312722384929657,
0.14046485722064972,
0.13297906517982483,
0.014500528573989868,
0.2870315611362457,
0.0750100389122963,
0.013744967989623547,
0.33756136894226074,
0.590536892414093,
-0.20217761397361755,
-0.16447243094444275,
-0.1727118045091629,
-0.16748885810375214,
0.07695972174406052,
-0.22806961834430695,
-0.2735535204410553,
0.12884864211082458,
-0.21248236298561096,
-0.10302986949682236,
-0.2302062064409256,
-0.29267239570617676,
0.2116546630859375,
0.05275099724531174,
-0.33862489461898804,
-0.2714468538761139,
-0.4014514684677124,
0.14914582669734955,
0.05067812278866768,
-0.34592899680137634,
0.12932860851287842,
-0.07099145650863647,
0.11562065780162811,
0.39561131596565247,
0.25407347083091736,
0.3397335112094879,
0.06733015179634094,
-0.3097277879714966,
-0.3134121894836426,
-0.32432126998901367,
0.15070997178554535,
0.00874039251357317,
0.3977159559726715,
0.017715128138661385,
-0.1132785975933075,
0.6163251996040344,
0.0042132106609642506,
0.10033039003610611,
0.26405972242355347,
0.3659212589263916,
-0.5369970798492432,
-0.1176464855670929,
0.7859678864479065,
0.07999031990766525,
-0.19354212284088135,
0.07940370589494705,
0.22868436574935913,
-0.19130268692970276,
0.1738029420375824,
0.046440400183200836,
-0.11265207082033157,
0.18436257541179657,
0.11147193610668182,
0.015183850191533566,
-0.052295438945293427,
0.34844350814819336,
0.419271856546402,
-0.06455577909946442,
-0.27449411153793335,
-0.015578641556203365,
-0.6457425355911255,
0.18133953213691711,
-0.053281500935554504,
-0.2521618902683258,
0.004350710194557905,
-0.24237211048603058,
0.17777687311172485,
0.11598450690507889,
-0.24688774347305298,
0.13935713469982147,
-0.08880838751792908,
0.08666317164897919,
-0.14721113443374634,
-0.3679310381412506,
-0.17883354425430298,
0.08051306754350662,
-0.07546930015087128,
-0.4362680912017822,
0.20022070407867432,
-0.42061206698417664,
-0.12240856885910034,
0.07628114521503448,
0.015164615586400032,
0.5335346460342407,
-0.01931019313633442,
0.2926968038082123,
-0.05495208501815796,
0.5333089828491211,
0.19510102272033691,
0.006028718315064907,
-0.18519830703735352,
0.18206755816936493,
-0.1992654949426651,
0.13084910809993744,
-0.04895925894379616,
0.06954137980937958,
-0.14772431552410126,
0.5281546115875244,
-0.4214252829551697,
0.5098816156387329,
-0.05077577009797096,
0.1615394502878189,
-0.329012393951416,
0.10240171104669571,
-0.2403387725353241,
0.08635559678077698,
0.2888401448726654,
0.21862724423408508,
-0.11910432577133179,
0.37171006202697754,
-0.2540442645549774,
-0.20215825736522675,
0.4779549837112427,
-0.1859750896692276,
-0.10019843280315399,
0.15425172448158264,
0.30320876836776733,
0.19870367646217346,
-0.1865212470293045,
-0.5294919013977051,
0.15762847661972046,
0.3263660669326782,
-0.10436941683292389,
-0.04502718523144722,
0.22184570133686066,
0.20797045528888702,
0.060865383595228195,
0.007538842502981424,
0.9585251212120056,
-0.13303996622562408,
0.08896082639694214,
-0.0688256248831749,
-0.24809671938419342
] |
https://github.com/huggingface/datasets/issues/161 | Discussion on version identifier & MockDataLoaderManager for test data | I'm good with either putting it in description, adding it to the config, or loosening version formatting. I mostly don't have a full conceptual grasp of what each identifier ends up meaning in the datasets code so hard to evaluate the best approach.
For background, the multiple formats is a consequence of:
1. Each example is one multi-sentence trivia question
2. For training, its better to treat each sentence as an example
3. For evaluation, should test on: (1) first sentence, (2) full question, and (3) partial questions (does the model get the question right having seen the first half)
We use the date format for version since: (1) we expect some degree of updates since new questions come in every year and (2) the timestamp itself matches the Wikipedia dump that it is dependent on (so similar to the Wikipedia dataset).
perhaps this is better discussed in https://github.com/huggingface/nlp/pull/169 or update title? | Hi, I'm working on adding a dataset and ran into an error due to `download` not being defined on `MockDataLoaderManager`, but being defined in `nlp/utils/download_manager.py`. The readme step running this: `RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_dataset_localmydatasetname` triggers the error. If I can get something to work, I can include it in my data PR once I'm done. | 152 | Discussion on version identifier & MockDataLoaderManager for test data
Hi, I'm working on adding a dataset and ran into an error due to `download` not being defined on `MockDataLoaderManager`, but being defined in `nlp/utils/download_manager.py`. The readme step running this: `RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_dataset_localmydatasetname` triggers the error. If I can get something to work, I can include it in my data PR once I'm done.
I'm good with either putting it in description, adding it to the config, or loosening version formatting. I mostly don't have a full conceptual grasp of what each identifier ends up meaning in the datasets code so hard to evaluate the best approach.
For background, the multiple formats is a consequence of:
1. Each example is one multi-sentence trivia question
2. For training, its better to treat each sentence as an example
3. For evaluation, should test on: (1) first sentence, (2) full question, and (3) partial questions (does the model get the question right having seen the first half)
We use the date format for version since: (1) we expect some degree of updates since new questions come in every year and (2) the timestamp itself matches the Wikipedia dump that it is dependent on (so similar to the Wikipedia dataset).
perhaps this is better discussed in https://github.com/huggingface/nlp/pull/169 or update title? | [
0.05760371312499046,
0.2424968183040619,
-0.0005985943134874105,
-0.016873564571142197,
-0.026222307235002518,
-0.10918852686882019,
0.37034478783607483,
0.27449795603752136,
0.0017394530586898327,
-0.073363296687603,
0.19066652655601501,
0.10673809796571732,
-0.259066104888916,
0.05271456390619278,
0.0636916235089302,
-0.17159391939640045,
0.06112439185380936,
0.20525714755058289,
-0.09032153338193893,
0.19936949014663696,
-0.10669605433940887,
-0.013935601338744164,
-0.021723762154579163,
0.20252689719200134,
-0.0918591096997261,
-0.04485810548067093,
-0.2902241051197052,
0.06356655806303024,
-0.3563999831676483,
-0.9518451690673828,
0.25599655508995056,
0.16132815182209015,
0.21488910913467407,
0.39023515582084656,
-0.00012299601803533733,
-0.1342220902442932,
0.5136099457740784,
-0.030447743833065033,
-0.7506928443908691,
-0.19761860370635986,
0.32741332054138184,
-0.43662112951278687,
0.39083224534988403,
-0.08335205167531967,
0.2027074247598648,
-0.26675987243652344,
0.3141607940196991,
0.20798015594482422,
0.14404089748859406,
0.21452759206295013,
0.07082144916057587,
0.25298404693603516,
0.029718058183789253,
-0.09841064363718033,
-0.04017804563045502,
0.11929906159639359,
-0.034477852284908295,
0.5099806189537048,
0.3937709331512451,
0.12621353566646576,
-0.16321903467178345,
0.11727821081876755,
0.1400747448205948,
0.3983491063117981,
0.22597938776016235,
-0.01795371063053608,
0.5039623379707336,
-0.047598760575056076,
-0.20237988233566284,
0.054717592895030975,
0.8494493365287781,
-0.5009228587150574,
-0.4326483905315399,
-0.14169466495513916,
0.03228963539004326,
-0.16478879749774933,
0.2154713124036789,
-0.10920257121324539,
-0.15507301688194275,
0.057125356048345566,
-0.24445419013500214,
-0.11133256554603577,
-0.15746952593326569,
0.3368920087814331,
-0.22511975467205048,
0.29151421785354614,
-0.010365284979343414,
0.19610385596752167,
-0.03072475455701351,
-0.18355828523635864,
0.05790716037154198,
-0.2011938989162445,
0.07630230486392975,
0.1746194064617157,
0.016124768182635307,
-0.2886020839214325,
-0.2943032681941986,
-0.18726474046707153,
0.12454863637685776,
0.014858272857964039,
-0.4481174051761627,
-0.1796247810125351,
-0.03736454248428345,
0.21170829236507416,
0.2502317726612091,
0.3405125141143799,
0.39323899149894714,
0.1903860867023468,
0.15328200161457062,
0.0801822766661644,
0.15144819021224976,
0.15082012116909027,
-0.04188370332121849,
-0.22569634020328522,
-0.011926066130399704,
0.025541841983795166,
0.1661314070224762,
-0.28247174620628357,
-0.051678966730833054,
-0.12572993338108063,
-0.5409556031227112,
-0.07574262470006943,
-0.13150514662265778,
0.2328939586877823,
-0.1798987239599228,
-0.04507238045334816,
0.03212318196892738,
0.41973361372947693,
-0.17848749458789825,
-0.1591353416442871,
-0.01568848267197609,
0.07461448013782501,
-0.2581368684768677,
-0.0456654354929924,
0.17432135343551636,
-0.09063173085451126,
0.45086634159088135,
-0.21950899064540863,
-0.3382495045661926,
-0.17939545214176178,
0.06953320652246475,
0.01314233336597681,
-0.09206803888082504,
0.23776037991046906,
-0.19513824582099915,
0.06764157861471176,
0.08036749809980392,
-0.41097769141197205,
-0.27822065353393555,
0.010887356474995613,
0.05627705529332161,
-0.3433369994163513,
-0.027284223586320877,
0.0628063753247261,
-0.48337218165397644,
-0.010563365183770657,
0.12420593947172165,
0.09027833491563797,
0.1491735428571701,
-0.31665071845054626,
0.10074428468942642,
-0.4133778214454651,
-0.23477114737033844,
-0.09195555001497269,
-0.1889970749616623,
0.30426037311553955,
-0.2840297818183899,
-0.2755051255226135,
-0.16645795106887817,
-0.3127400577068329,
0.09089331328868866,
-0.1886778175830841,
-0.07610435038805008,
0.27452632784843445,
-0.19024670124053955,
0.030188512057065964,
0.5996150970458984,
-0.5389531254768372,
-0.2087564915418625,
0.5325264930725098,
-0.27516698837280273,
-0.052934467792510986,
0.2893846929073334,
-0.07397907227277756,
0.11017477512359619,
-0.3594629466533661,
-0.10819559544324875,
0.05834265798330307,
0.003968278877437115,
-0.1924615502357483,
-0.21571455895900726,
-0.26801061630249023,
0.18028438091278076,
0.2851307690143585,
-0.19205887615680695,
0.018702734261751175,
0.06548096239566803,
0.185058131814003,
0.32735610008239746,
0.09518332779407501,
0.12832672894001007,
-0.18868406116962433,
-0.055135082453489304,
-0.07846163213253021,
-0.12363851070404053,
-0.01617109775543213,
-0.7373561859130859,
0.15254506468772888,
-0.10349656641483307,
0.20631973445415497,
0.04400218278169632,
0.0035778533201664686,
-0.4655619263648987,
-0.04969049617648125,
-0.07461147010326385,
-0.3006821572780609,
0.03034364804625511,
0.23752450942993164,
0.07605625689029694,
-0.003968603443354368,
0.008902412839233875,
-0.012331622652709484,
-0.30985939502716064,
0.2481217235326767,
-0.049322061240673065,
-0.18347029387950897,
-0.08366874605417252,
0.14995962381362915,
0.20539923012256622,
0.25154659152030945,
0.033977754414081573,
-0.2759888172149658,
0.10466917604207993,
0.32568368315696716,
0.23714804649353027,
0.24148467183113098,
0.171538844704628,
0.06900247931480408,
0.23371604084968567,
0.3315995931625366,
0.30703678727149963,
0.16558176279067993,
0.08676391839981079,
-0.26936131715774536,
-0.09193121641874313,
0.1549014449119568,
0.24279801547527313,
0.004586626309901476,
-0.16184118390083313,
-0.06739852577447891,
0.33853986859321594,
0.1212913915514946,
-0.23096613585948944,
-0.26559704542160034,
0.012635604478418827,
0.29515525698661804,
0.640271008014679,
0.0631796196103096,
0.0867367684841156,
-0.034492626786231995,
-0.1113731861114502,
-0.4682067632675171,
-0.02329222299158573,
0.09991318732500076,
-0.2714598774909973,
-0.16550683975219727,
-0.019511865451931953,
0.25677624344825745,
0.7403602004051208,
0.014357608743011951,
0.2837745249271393,
0.04305139556527138,
-0.26060429215431213,
-0.21312560141086578,
0.1901429295539856,
0.2923334240913391,
-0.07247483730316162,
0.14260812103748322,
0.05944402143359184,
-0.22141170501708984,
-0.011801526881754398,
-0.14425219595432281,
0.3677423894405365,
0.32906296849250793,
-0.4422621726989746,
0.011568572372198105,
-0.2243393212556839,
-0.44633749127388,
-0.5092360377311707,
-0.37744763493537903,
-0.2606249451637268,
-0.34826013445854187,
-0.05424041301012039,
0.22306592762470245,
-0.0988536924123764,
0.20850591361522675,
-0.0444551520049572,
0.35148823261260986,
-0.33391454815864563,
-0.06189078837633133,
0.18121914565563202,
-0.28744637966156006,
-0.43042632937431335,
-0.021277468651533127,
0.37744414806365967,
0.010299940593540668,
0.3699015974998474,
-0.16296133399009705,
-0.30679163336753845,
-0.1718640774488449,
-0.3577468991279602,
0.17577378451824188,
-0.051336344331502914,
0.4902472198009491,
0.43741726875305176,
0.056805118918418884,
0.4220125377178192,
-0.0797564685344696,
-0.005828259978443384,
-0.06160523742437363,
-0.35395547747612,
-0.19850435853004456,
0.008054148405790329,
0.01152966357767582,
-0.22299246490001678,
-0.46764811873435974,
-0.5795462131500244,
-0.06716489791870117,
0.23849786818027496,
0.023740096017718315,
0.13625745475292206,
0.35848936438560486,
-0.23525892198085785,
0.23094338178634644,
-0.11682175099849701,
0.06175219640135765,
-0.13076823949813843,
0.04842391982674599,
0.03346915915608406,
-0.14100679755210876,
-0.14650902152061462,
0.08306866884231567,
-0.06929145008325577,
-0.056238994002342224,
-0.125167116522789,
-0.4092947840690613,
-0.4603891968727112,
0.1925334632396698,
-0.019878726452589035,
0.3854578137397766,
-0.1197538822889328,
0.19413042068481445,
0.2285912185907364,
0.15268801152706146,
-0.09221991896629333,
-0.2539879381656647,
0.30851125717163086,
0.048168107867240906,
0.2682610750198364,
0.2667803466320038,
0.3099619746208191,
-0.08249540627002716,
0.854885458946228,
0.23433127999305725,
-0.2229713350534439,
-0.17823928594589233,
-0.028071917593479156,
-0.07432776689529419,
0.008990504778921604,
0.03905468061566353,
0.2459833025932312,
-0.19373981654644012,
-0.25766199827194214,
0.4539284110069275,
-0.11471637338399887,
-0.0794103667140007,
-0.012890145182609558,
0.2891296148300171,
-0.10928501188755035,
-0.00573522737249732,
0.19463367760181427,
-0.15763522684574127,
0.02347104623913765,
0.010373669676482677,
-0.03370597958564758,
-0.15833452343940735,
-0.06846433132886887,
-0.033196888864040375,
0.341937392950058,
-0.11140768975019455,
0.21972471475601196,
-0.27268749475479126,
-0.06407026201486588,
-0.2533639669418335,
0.23277467489242554,
0.39788496494293213,
0.4647166132926941,
0.15090206265449524,
-0.031669456511735916,
0.21203070878982544,
0.20424818992614746,
0.08792273700237274,
-0.03190002590417862,
0.10637810826301575,
0.18112245202064514,
-0.22042164206504822,
-0.030371466651558876,
-0.30279994010925293,
-0.22541536390781403,
0.042755305767059326,
0.01996622607111931,
0.17918311059474945,
-0.4684460461139679,
-0.24010716378688812,
0.32111069560050964,
0.06214398145675659,
-0.05001530796289444,
-0.23638103902339935,
0.023509759455919266,
0.005604391451925039,
-0.0498347170650959,
-0.17327050864696503,
-0.1989140510559082,
-0.013889658264815807,
-0.11765541881322861,
0.42405954003334045,
-0.038367900997400284,
0.04531438276171684,
-0.021975474432110786,
0.24745996296405792,
0.0965980738401413,
-0.14922749996185303,
0.14238043129444122,
0.269252210855484,
0.14296676218509674,
0.2716630697250366,
0.1835293471813202,
-0.13022008538246155,
-0.22181782126426697,
0.05195346102118492,
-0.06875786930322647,
0.37542372941970825,
0.4415145218372345,
0.20746338367462158,
0.03125409036874771,
-0.24363282322883606,
-0.17298327386379242,
-0.3376980721950531,
0.27770349383354187,
0.3622957468032837,
-0.12266840040683746,
-0.018863610923290253,
-0.3984583616256714,
0.7639316916465759,
0.11514201760292053,
-0.31864961981773376,
0.31977638602256775,
-0.17126977443695068,
-0.27540990710258484,
0.06674157083034515,
0.04492628201842308,
0.9632917642593384,
0.18758003413677216,
0.26972997188568115,
0.3356110751628876,
-0.3050232231616974,
0.5088142156600952,
0.0772995576262474,
0.08329905569553375,
-0.5266805291175842,
-0.004951165989041328,
0.011898696422576904,
-0.0852636843919754,
0.2526690363883972,
-0.09175092726945877,
-0.29020753502845764,
0.3714599311351776,
0.15412455797195435,
0.33690568804740906,
0.2666241526603699,
0.3904850482940674,
-0.1026519164443016,
-0.0818486139178276,
-0.31482914090156555,
0.032741546630859375,
-0.18126191198825836,
0.29423072934150696,
-0.2555637061595917,
-0.05453578010201454,
-0.194590225815773,
-0.04891160503029823,
-0.16635583341121674,
-0.2321009784936905,
-0.17980745434761047,
0.04404440522193909,
0.09738369286060333,
-0.24454781413078308,
0.0070836846716701984,
0.24630339443683624,
0.13479027152061462,
-0.3061778247356415,
-0.08299575001001358,
-0.0007388164522126317,
-0.20389820635318756,
0.19736775755882263,
0.269948810338974,
-0.05206357687711716,
0.45949187874794006,
-0.26142480969429016,
0.0046785082668066025,
0.06200600787997246,
-0.29994553327560425,
-0.011491084471344948,
-0.07748136669397354,
-0.17925870418548584,
0.18972741067409515,
-0.2973543703556061,
-0.2757718861103058,
0.034674838185310364,
0.015729377046227455,
-0.016935789957642555,
-0.013132099062204361,
0.19917599856853485,
-0.27070099115371704,
0.016309089958667755,
-0.09080898761749268,
-0.23815368115901947,
-0.0127136604860425,
0.3433263599872589,
-0.08797584474086761,
-0.07147157937288284,
0.7205213308334351,
-0.1423332691192627,
-0.013047975488007069,
-0.08775806427001953,
0.07892642170190811,
-0.07721257954835892,
-0.21021512150764465,
-0.024667615070939064,
-0.09398006647825241,
-0.3097338080406189,
-0.11627903580665588,
0.6664240956306458,
0.5130172967910767,
0.08737687766551971,
-0.01276517566293478,
-0.3916796147823334,
-0.33617308735847473,
0.11024472862482071,
-0.2133312225341797,
0.20463024079799652,
-0.15378211438655853,
0.23011039197444916,
0.20599862933158875,
0.0917343869805336,
-0.1989636868238449,
-0.21286644041538239,
-0.052418820559978485,
0.3219780921936035,
-0.20810915529727936,
0.008620302192866802,
-0.02283157780766487,
0.07475601881742477,
-0.07202211767435074,
-0.030391572043299675,
-0.3601391613483429,
-0.03611622005701065,
-0.16067545115947723,
0.23085981607437134,
0.16787390410900116,
-0.1009950339794159,
0.05119547247886658,
-0.05666710436344147,
0.0830276757478714,
0.15836569666862488,
-0.06596092879772186,
-0.06922030448913574,
-0.046982262283563614,
0.31562021374702454,
0.2211274355649948,
0.2653515040874481,
-0.061260778456926346,
0.15333685278892517,
0.07793182134628296,
0.1418086141347885,
0.08331699669361115,
0.18333105742931366,
-0.32301199436187744,
0.013775154948234558,
0.07649040967226028,
0.294942170381546,
-0.11261388659477234,
0.23987098038196564,
0.11625204235315323,
-0.03209979087114334,
0.14109596610069275,
0.08694107085466385,
0.284458190202713,
0.8438324928283691,
-0.18474644422531128,
-0.2881437838077545,
0.41060033440589905,
0.017603551968932152,
-0.04218687117099762,
0.08298318833112717,
0.26608002185821533,
0.11460418254137039,
0.022272950038313866,
0.28549671173095703,
0.05585002526640892,
-0.0035337205044925213,
0.039524324238300323,
0.16859540343284607,
0.19243654608726501,
-0.2128521353006363,
-0.06870882213115692,
0.4142081141471863,
-0.2447902411222458,
0.26162704825401306,
0.37993934750556946,
0.05843663215637207,
0.21717189252376556,
-0.09376568347215652,
0.06660223752260208,
0.4720221757888794,
0.10343360900878906,
0.07247643917798996,
0.1404721885919571,
0.10956500470638275,
-0.05472450703382492,
0.46144673228263855,
0.027293935418128967,
0.019859852269291878,
0.28616175055503845,
0.6132852435112,
-0.3343771994113922,
-0.321731835603714,
-0.17343159019947052,
-0.07680520415306091,
0.10721207410097122,
-0.18119484186172485,
-0.5276594161987305,
0.014906727708876133,
-0.2530691623687744,
-0.07244831323623657,
-0.2701846659183502,
-0.35571739077568054,
0.3199388086795807,
0.041181087493896484,
-0.3105318546295166,
-0.41609326004981995,
-0.3604917526245117,
0.08546431362628937,
0.12812121212482452,
-0.32149264216423035,
0.2644841969013214,
0.23103854060173035,
0.06905652582645416,
0.4039294719696045,
0.3324469327926636,
0.4023068845272064,
0.09167810529470444,
-0.38616636395454407,
-0.30364349484443665,
-0.25391867756843567,
0.10707513988018036,
0.12506240606307983,
0.27835798263549805,
-0.042769718915224075,
-0.21499723196029663,
0.5813985466957092,
0.015517053194344044,
0.07906582206487656,
0.2922721207141876,
0.409268856048584,
-0.5363088846206665,
-0.24184051156044006,
0.6709067225456238,
-0.0029568402096629143,
-0.24788813292980194,
0.10846399515867233,
0.15607382357120514,
-0.36080697178840637,
0.08438004553318024,
0.0010098937200382352,
0.07150530815124512,
0.19846223294734955,
0.09360793232917786,
0.026088636368513107,
-0.009924635291099548,
0.4939209520816803,
0.49144336581230164,
-0.10784632712602615,
-0.34578391909599304,
-0.10265504568815231,
-0.7086455225944519,
0.02320426143705845,
-0.02492276206612587,
-0.3069433271884918,
-0.028651652857661247,
-0.13132323324680328,
0.18050970137119293,
0.09593173861503601,
-0.25932997465133667,
0.05915563926100731,
-0.03458641469478607,
0.07855800539255142,
-0.3168298006057739,
-0.23085398972034454,
-0.163457989692688,
0.011754205450415611,
-0.11217889934778214,
-0.24734269082546234,
0.11470548063516617,
-0.3909788429737091,
-0.14848601818084717,
0.22859300673007965,
0.0486631877720356,
0.4706299901008606,
0.0439799465239048,
0.1680421680212021,
-0.014944995753467083,
0.5717008709907532,
0.27138978242874146,
-0.12703844904899597,
-0.22806523740291595,
0.21541117131710052,
-0.14663124084472656,
0.1772405505180359,
-0.12875743210315704,
0.3634103238582611,
-0.1993662416934967,
0.5129457712173462,
-0.20585589110851288,
0.4702889919281006,
-0.044683605432510376,
0.05702648311853409,
-0.33190709352493286,
0.08545436710119247,
-0.22928445041179657,
0.04520855471491814,
0.3392931818962097,
0.3558691143989563,
-0.06925652921199799,
0.29817667603492737,
-0.260295033454895,
-0.2253071665763855,
0.3200797736644745,
-0.31884104013442993,
-0.11840435117483139,
0.1429835855960846,
0.2893078327178955,
0.14046384394168854,
0.02453598380088806,
-0.6277329325675964,
0.07381118834018707,
0.2311151623725891,
-0.17052221298217773,
-0.09328301250934601,
0.17623208463191986,
0.23813925683498383,
-0.06259176880121231,
-0.03592416271567345,
0.9138442277908325,
-0.07508823275566101,
-0.0677717849612236,
-0.10770925879478455,
-0.33352944254875183
] |
https://github.com/huggingface/datasets/issues/160 | caching in map causes same result to be returned for train, validation and test | Hi @dpressel,
thanks for posting your issue! Can you maybe add a complete code snippet that we can copy paste to reproduce the error? For example, I'm not sure where the variable `train_set` comes from in your code and it seems like you are loading multiple datasets at once? | hello,
I am working on a program that uses the `nlp` library with the `SST2` dataset.
The rough outline of the program is:
```
import nlp as nlp_datasets
...
parser.add_argument('--dataset', help='HuggingFace Datasets id', default=['glue', 'sst2'], nargs='+')
...
dataset = nlp_datasets.load_dataset(*args.dataset)
...
# Create feature vocabs
vocabs = create_vocabs(dataset.values(), vectorizers)
...
# Create a function to vectorize based on vectorizers and vocabs:
print('TS', train_set.num_rows)
print('VS', valid_set.num_rows)
print('ES', test_set.num_rows)
# factory method to create a `convert_to_features` function based on vocabs
convert_to_features = create_featurizer(vectorizers, vocabs)
train_set = train_set.map(convert_to_features, batched=True)
train_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
train_loader = torch.utils.data.DataLoader(train_set, batch_size=args.batchsz)
valid_set = valid_set.map(convert_to_features, batched=True)
valid_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
valid_loader = torch.utils.data.DataLoader(valid_set, batch_size=args.batchsz)
test_set = test_set.map(convert_to_features, batched=True)
test_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
test_loader = torch.utils.data.DataLoader(test_set, batch_size=args.batchsz)
print('TS', train_set.num_rows)
print('VS', valid_set.num_rows)
print('ES', test_set.num_rows)
```
Im not sure if Im using it incorrectly, but the results are not what I expect. Namely, the `.map()` seems to grab the datset from the cache and then loses track of what the specific dataset is, instead using my training data for all datasets:
```
TS 67349
VS 872
ES 1821
TS 67349
VS 67349
ES 67349
```
The behavior changes if I turn off the caching but then the results fail:
```
train_set = train_set.map(convert_to_features, batched=True, load_from_cache_file=False)
...
valid_set = valid_set.map(convert_to_features, batched=True, load_from_cache_file=False)
...
test_set = test_set.map(convert_to_features, batched=True, load_from_cache_file=False)
```
Now I get the right set of features back...
```
TS 67349
VS 872
ES 1821
100%|██████████| 68/68 [00:00<00:00, 92.78it/s]
100%|██████████| 1/1 [00:00<00:00, 75.47it/s]
0%| | 0/2 [00:00<?, ?it/s]TS 67349
VS 872
ES 1821
100%|██████████| 2/2 [00:00<00:00, 77.19it/s]
```
but I think its losing track of the original training set:
```
Traceback (most recent call last):
File "/home/dpressel/dev/work/baseline/api-examples/layers-classify-hf-datasets.py", line 148, in <module>
for x in train_loader:
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 345, in __next__
data = self._next_data()
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 385, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp>
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/nlp/arrow_dataset.py", line 338, in __getitem__
output_all_columns=self._output_all_columns,
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/nlp/arrow_dataset.py", line 294, in _getitem
outputs = self._unnest(self._data.slice(key, 1).to_pydict())
File "pyarrow/table.pxi", line 1211, in pyarrow.lib.Table.slice
File "pyarrow/public-api.pxi", line 390, in pyarrow.lib.pyarrow_wrap_table
File "pyarrow/error.pxi", line 85, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Column 3: In chunk 0: Invalid: Length spanned by list offsets (15859698) larger than values array (length 100000)
Process finished with exit code 1
```
The full-example program (minus the print stmts) is here:
https://github.com/dpressel/mead-baseline/pull/620/files
| 49 | caching in map causes same result to be returned for train, validation and test
hello,
I am working on a program that uses the `nlp` library with the `SST2` dataset.
The rough outline of the program is:
```
import nlp as nlp_datasets
...
parser.add_argument('--dataset', help='HuggingFace Datasets id', default=['glue', 'sst2'], nargs='+')
...
dataset = nlp_datasets.load_dataset(*args.dataset)
...
# Create feature vocabs
vocabs = create_vocabs(dataset.values(), vectorizers)
...
# Create a function to vectorize based on vectorizers and vocabs:
print('TS', train_set.num_rows)
print('VS', valid_set.num_rows)
print('ES', test_set.num_rows)
# factory method to create a `convert_to_features` function based on vocabs
convert_to_features = create_featurizer(vectorizers, vocabs)
train_set = train_set.map(convert_to_features, batched=True)
train_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
train_loader = torch.utils.data.DataLoader(train_set, batch_size=args.batchsz)
valid_set = valid_set.map(convert_to_features, batched=True)
valid_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
valid_loader = torch.utils.data.DataLoader(valid_set, batch_size=args.batchsz)
test_set = test_set.map(convert_to_features, batched=True)
test_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
test_loader = torch.utils.data.DataLoader(test_set, batch_size=args.batchsz)
print('TS', train_set.num_rows)
print('VS', valid_set.num_rows)
print('ES', test_set.num_rows)
```
Im not sure if Im using it incorrectly, but the results are not what I expect. Namely, the `.map()` seems to grab the datset from the cache and then loses track of what the specific dataset is, instead using my training data for all datasets:
```
TS 67349
VS 872
ES 1821
TS 67349
VS 67349
ES 67349
```
The behavior changes if I turn off the caching but then the results fail:
```
train_set = train_set.map(convert_to_features, batched=True, load_from_cache_file=False)
...
valid_set = valid_set.map(convert_to_features, batched=True, load_from_cache_file=False)
...
test_set = test_set.map(convert_to_features, batched=True, load_from_cache_file=False)
```
Now I get the right set of features back...
```
TS 67349
VS 872
ES 1821
100%|██████████| 68/68 [00:00<00:00, 92.78it/s]
100%|██████████| 1/1 [00:00<00:00, 75.47it/s]
0%| | 0/2 [00:00<?, ?it/s]TS 67349
VS 872
ES 1821
100%|██████████| 2/2 [00:00<00:00, 77.19it/s]
```
but I think its losing track of the original training set:
```
Traceback (most recent call last):
File "/home/dpressel/dev/work/baseline/api-examples/layers-classify-hf-datasets.py", line 148, in <module>
for x in train_loader:
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 345, in __next__
data = self._next_data()
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 385, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp>
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/nlp/arrow_dataset.py", line 338, in __getitem__
output_all_columns=self._output_all_columns,
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/nlp/arrow_dataset.py", line 294, in _getitem
outputs = self._unnest(self._data.slice(key, 1).to_pydict())
File "pyarrow/table.pxi", line 1211, in pyarrow.lib.Table.slice
File "pyarrow/public-api.pxi", line 390, in pyarrow.lib.pyarrow_wrap_table
File "pyarrow/error.pxi", line 85, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Column 3: In chunk 0: Invalid: Length spanned by list offsets (15859698) larger than values array (length 100000)
Process finished with exit code 1
```
The full-example program (minus the print stmts) is here:
https://github.com/dpressel/mead-baseline/pull/620/files
Hi @dpressel,
thanks for posting your issue! Can you maybe add a complete code snippet that we can copy paste to reproduce the error? For example, I'm not sure where the variable `train_set` comes from in your code and it seems like you are loading multiple datasets at once? | [
-0.12632250785827637,
-0.22070901095867157,
-0.10063198953866959,
0.27801084518432617,
0.24547572433948517,
-0.20522341132164001,
0.137210875749588,
0.5128593444824219,
0.18828663229942322,
-0.06233531981706619,
0.12781980633735657,
0.38913458585739136,
0.003776297438889742,
-0.1606176495552063,
-0.010743561200797558,
0.024212030693888664,
0.09608013927936554,
0.23505231738090515,
-0.14556236565113068,
-0.1648235321044922,
0.08189409971237183,
0.2129841297864914,
-0.042409978806972504,
0.11652691662311554,
-0.39034950733184814,
0.041289906948804855,
0.21235668659210205,
-0.2308902144432068,
0.06845776736736298,
-0.25706538558006287,
0.1678507924079895,
-0.09324328601360321,
0.02583368308842182,
0.16631756722927094,
-0.00010973814642056823,
0.0067980014719069,
-0.01538778841495514,
-0.13856948912143707,
-0.007274831645190716,
0.04019518941640854,
0.11813383549451828,
-0.21172897517681122,
-0.10918274521827698,
-0.3121316730976105,
-0.3320115804672241,
-0.03766085207462311,
0.01780932955443859,
-0.35565948486328125,
0.31285759806632996,
0.14745205640792847,
0.26071032881736755,
0.22490893304347992,
-0.2538125216960907,
0.21113626658916473,
0.14512759447097778,
-0.029327336698770523,
-0.17419742047786713,
-0.04230547323822975,
-0.04397892951965332,
-0.33446553349494934,
-0.37676504254341125,
0.5254571437835693,
-0.07658161967992783,
0.17014139890670776,
0.21466633677482605,
0.22505579888820648,
0.17260590195655823,
0.035937704145908356,
0.1429363638162613,
-0.11396253854036331,
0.011094827204942703,
-0.22691738605499268,
-0.027116434648633003,
-0.3733721077442169,
-0.4186401665210724,
-0.07852599024772644,
0.13762502372264862,
0.18104472756385803,
-0.1363932490348816,
-0.06371653825044632,
-0.43193766474723816,
0.2392898052930832,
0.0652494877576828,
-0.012788408435881138,
0.11952681839466095,
0.29516080021858215,
0.04380622133612633,
0.19522294402122498,
0.12944649159908295,
-0.06973281502723694,
-0.022558962926268578,
-0.21451696753501892,
-0.05897140875458717,
0.22640138864517212,
-0.4359849691390991,
0.07208239287137985,
0.4315200448036194,
-0.1404140740633011,
-0.053242750465869904,
0.03063775785267353,
0.3919311761856079,
0.07921352982521057,
0.11681784689426422,
-0.008491764776408672,
-0.10416068881750107,
0.5898676514625549,
0.04432177543640137,
0.17118391394615173,
-0.014969921670854092,
-0.19827847182750702,
-0.3560168445110321,
0.004987859632819891,
0.2880178987979889,
-0.28660091757774353,
0.42841145396232605,
0.40236055850982666,
-0.04226037487387657,
-0.12152973562479019,
-0.030102189630270004,
0.09402408450841904,
-0.33085379004478455,
0.05566990002989769,
0.058729998767375946,
0.31395798921585083,
-0.22545045614242554,
0.14926567673683167,
-0.17376750707626343,
-0.10335483402013779,
-0.3849693238735199,
0.12735125422477722,
-0.33784618973731995,
-0.033323898911476135,
-0.4962189197540283,
0.0015165578806772828,
0.28538474440574646,
-0.002859933767467737,
0.28535225987434387,
-0.038445454090833664,
-0.13722018897533417,
-0.3019891679286957,
0.10317365825176239,
-0.39851170778274536,
0.5702314376831055,
-0.1072295531630516,
-0.19701702892780304,
0.24102117121219635,
0.13037829101085663,
0.08526421338319778,
-0.29768794775009155,
-0.19837751984596252,
-0.1698075532913208,
-0.20906901359558105,
0.2598607540130615,
0.24224542081356049,
-0.07942765206098557,
0.14139588177204132,
0.09248226881027222,
0.0776788741350174,
0.3432585299015045,
-0.232854962348938,
0.10284040868282318,
-0.20148923993110657,
-0.28198012709617615,
-0.2043590545654297,
0.16256873309612274,
0.2623099982738495,
0.06677649915218353,
-0.13737238943576813,
0.4017971158027649,
0.2371826320886612,
0.14729078114032745,
0.4138067364692688,
-0.1965339034795761,
0.30949410796165466,
-0.43349170684814453,
0.3486190438270569,
0.506476879119873,
-0.32673147320747375,
-0.49634483456611633,
0.09944828599691391,
-0.15631580352783203,
0.1002880334854126,
0.10244903713464737,
0.15137287974357605,
0.029087670147418976,
0.014419378712773323,
0.1285371035337448,
0.018702296540141106,
-0.0005146907060407102,
0.208420529961586,
-0.31692788004875183,
-0.021933916956186295,
0.5500646233558655,
-0.2524673640727997,
0.02847237139940262,
-0.13123734295368195,
-0.05504271760582924,
0.021933000534772873,
0.006768169347196817,
-0.11219003051519394,
0.12185932695865631,
0.11460470408201218,
-0.056878868490457535,
-0.1581844687461853,
-0.10643851011991501,
-0.024692509323358536,
-0.28826257586479187,
0.23830120265483856,
-0.14981895685195923,
-0.0999680832028389,
0.06172538921236992,
-0.09704917669296265,
-0.16200260818004608,
-0.12927502393722534,
-0.18091638386249542,
-0.27306458353996277,
0.20130178332328796,
0.23052407801151276,
0.3202398419380188,
-0.07290733605623245,
0.2252090722322464,
0.3680817782878876,
0.048363614827394485,
-0.21607212722301483,
-0.4300347566604614,
0.08568026125431061,
-0.17773471772670746,
-0.2188279777765274,
-0.0748467668890953,
0.22306986153125763,
0.2090262770652771,
-0.04792642965912819,
-0.14242812991142273,
0.14827579259872437,
-0.2220856100320816,
0.4189179241657257,
-0.13702799379825592,
0.269452840089798,
-0.06965683400630951,
0.029306238517165184,
0.016667358577251434,
0.25400519371032715,
0.05881987884640694,
-0.08980134129524231,
-0.07270598411560059,
0.47423407435417175,
0.18140216171741486,
0.17011605203151703,
-0.048070792108774185,
-0.21626794338226318,
0.051984209567308426,
-0.17831753194332123,
-0.12091574817895889,
-0.11881643533706665,
0.13640747964382172,
-0.08057200163602829,
0.1488880068063736,
0.15232868492603302,
-0.10698743164539337,
0.3120083510875702,
0.7600833773612976,
0.19691871106624603,
-0.011016919277608395,
0.015740947797894478,
-0.057213034480810165,
-0.21779173612594604,
0.3338564336299896,
-0.05868269130587578,
0.31038790941238403,
0.10473166406154633,
0.12716487050056458,
-0.04620952904224396,
-0.21965020895004272,
-0.15443570911884308,
0.12464798986911774,
-0.21436883509159088,
-0.1919763833284378,
0.308034211397171,
0.28208687901496887,
-0.15836724638938904,
-0.35378316044807434,
0.0940157026052475,
-0.01276430580765009,
0.026191623881459236,
-0.15800140798091888,
0.21723663806915283,
-0.1665293276309967,
-0.2780851721763611,
-0.28641536831855774,
0.13615694642066956,
-0.12220374494791031,
-0.0921654924750328,
-0.04126313701272011,
0.42542964220046997,
-0.036654673516750336,
0.19515161216259003,
-0.3149721920490265,
0.08951952308416367,
0.226604163646698,
-0.2663276791572571,
-0.07168538868427277,
-0.1902879923582077,
-0.39492008090019226,
0.04223187640309334,
-0.09523041546344757,
-0.0929960310459137,
0.3783297538757324,
-0.04731621965765953,
-0.06796029210090637,
-0.2881457805633545,
-0.1725403368473053,
0.10717813670635223,
-0.09261170029640198,
-0.15536807477474213,
0.16724860668182373,
-0.03133843466639519,
-0.10115880519151688,
-0.2987455725669861,
0.29379722476005554,
-0.3053131401538849,
-0.29914355278015137,
-0.05198654159903526,
0.09890630096197128,
0.03010939620435238,
-0.28034764528274536,
-0.42862412333488464,
0.27357834577560425,
-0.31724390387535095,
0.07546782493591309,
-0.14892923831939697,
0.18622653186321259,
0.33093470335006714,
0.008953339420258999,
-0.014561006799340248,
-0.06404032558202744,
0.16439402103424072,
-0.46741002798080444,
-0.1409541219472885,
0.32257840037345886,
0.01876099780201912,
-0.21630428731441498,
-0.32459139823913574,
-0.27572473883628845,
0.347724050283432,
0.19238898158073425,
-0.5803960561752319,
-0.21442314982414246,
-0.04890046268701553,
0.24803197383880615,
-0.05125873163342476,
-0.04649535194039345,
0.5745421648025513,
0.01972527615725994,
-0.17946361005306244,
-0.16727842390537262,
-0.33184051513671875,
0.35973140597343445,
0.41926297545433044,
0.2494877278804779,
-0.011159147135913372,
0.17781507968902588,
0.20092034339904785,
0.6707466244697571,
0.20191961526870728,
-0.25905755162239075,
0.3317307233810425,
0.10723208636045456,
0.07499753683805466,
-0.2034970372915268,
-0.3130224943161011,
0.18576058745384216,
-0.18160304427146912,
0.019732147455215454,
0.2719840407371521,
0.006251134444028139,
-0.2801845371723175,
0.01774226687848568,
0.21881961822509766,
-0.2253446877002716,
-0.3280579447746277,
0.2597459852695465,
-0.34242793917655945,
0.24094845354557037,
0.03637058660387993,
0.31580042839050293,
-0.5820142030715942,
-0.24272412061691284,
0.19462814927101135,
-0.33594635128974915,
0.2798454165458679,
0.04449770972132683,
-0.5836008787155151,
0.12147048860788345,
-0.538021981716156,
0.18194131553173065,
0.3146284818649292,
0.2724076807498932,
-0.09202561527490616,
-0.2465258091688156,
0.04334738850593567,
-0.14713139832019806,
0.5711411833763123,
0.040972813963890076,
0.4085797369480133,
0.1699264794588089,
-0.1302468627691269,
-0.1994732767343521,
-0.2247127890586853,
0.017234763130545616,
0.2801370620727539,
0.32649919390678406,
0.40084776282310486,
-0.3452445864677429,
-0.36327362060546875,
-0.26576584577560425,
0.007364223711192608,
-0.04618128761649132,
0.007107758894562721,
-0.12583346664905548,
0.18938525021076202,
0.01648680679500103,
0.17434526979923248,
-0.01498047262430191,
0.1183028295636177,
0.016039855778217316,
-0.13654641807079315,
-0.03913364186882973,
-0.21942690014839172,
0.1282409280538559,
0.2264377325773239,
0.4735944867134094,
0.15032504498958588,
0.03246142715215683,
0.033214494585990906,
0.21515744924545288,
-0.5671088099479675,
0.26595762372016907,
-0.08884964138269424,
-0.004131742753088474,
0.07464420050382614,
0.14443816244602203,
-0.03030155971646309,
0.3378978669643402,
-0.04252500832080841,
0.14571364223957062,
-0.12862949073314667,
0.008956843055784702,
-0.5539686679840088,
0.4854544401168823,
0.3874591886997223,
0.13246646523475647,
-0.04488928243517876,
-0.24685749411582947,
0.17346294224262238,
0.07412006705999374,
-0.2765309810638428,
0.1322597712278366,
-0.4306926131248474,
-0.43199479579925537,
0.1857973337173462,
0.20948611199855804,
0.9232466816902161,
0.332022100687027,
0.3719581067562103,
0.1007041484117508,
0.10358098894357681,
0.2642512321472168,
-0.23411183059215546,
0.40925082564353943,
-0.3693642020225525,
-0.0463179275393486,
0.024538656696677208,
-0.16673317551612854,
-0.22738394141197205,
-0.010426265187561512,
-0.01099333819001913,
0.30259495973587036,
0.32405051589012146,
0.5999365448951721,
-0.11211955547332764,
0.16669917106628418,
0.21569165587425232,
-0.15811017155647278,
-0.2492315024137497,
0.2010732889175415,
-0.29230374097824097,
0.3152405023574829,
-0.11240831762552261,
-0.07410863041877747,
-0.01650959439575672,
-0.35134196281433105,
0.06714027374982834,
0.06094216927886009,
-0.3365170657634735,
0.3048412501811981,
0.13346198201179504,
-0.27266666293144226,
-0.2969881594181061,
0.2550773024559021,
0.11198677867650986,
0.08252744376659393,
-0.048600129783153534,
-0.03518514335155487,
0.40064483880996704,
0.3504585027694702,
-0.006891036406159401,
-0.20158861577510834,
0.1864127367734909,
0.06387528032064438,
-0.012894121930003166,
0.03024262934923172,
-0.05640564113855362,
-0.3015829622745514,
-0.25251179933547974,
0.14820435643196106,
0.003372181672602892,
-0.41296184062957764,
-0.05531826987862587,
0.061445046216249466,
-0.066788449883461,
-0.09413714706897736,
0.15088026225566864,
-0.026068205013871193,
-0.10794040560722351,
0.3151542544364929,
0.1173383817076683,
-0.24304209649562836,
0.05235802382230759,
0.47483208775520325,
-0.040397144854068756,
0.03181783854961395,
0.41542795300483704,
-0.15281881392002106,
-0.10380645841360092,
-0.2553911507129669,
-0.28417274355888367,
-0.10205967724323273,
-0.44884082674980164,
0.11220790445804596,
-0.2194061428308487,
-0.4019114077091217,
0.0442325733602047,
0.280818372964859,
0.014706877060234547,
0.31849586963653564,
-0.011618148535490036,
-0.12495850026607513,
-0.37697234749794006,
-0.10379048436880112,
-0.1065821498632431,
0.2671777307987213,
0.2795186936855316,
0.2843484878540039,
-0.29586702585220337,
0.2492261826992035,
-0.38310956954956055,
-0.1071421355009079,
-0.18716979026794434,
0.4379133880138397,
-0.03913804888725281,
-0.3655827045440674,
-0.009147044271230698,
0.00185489805880934,
0.12997117638587952,
0.17754493653774261,
-0.6386589407920837,
-0.2926190495491028,
-0.09099180996417999,
0.08186071366071701,
-0.007587700616568327,
-0.159822016954422,
-0.23928211629390717,
-0.017213808372616768,
0.18238461017608643,
-0.42740321159362793,
0.09215689450502396,
0.15121674537658691,
0.047031741589307785,
0.23718656599521637,
-0.16102980077266693,
0.12145575135946274,
0.2881677746772766,
-0.18652726709842682,
-0.18414875864982605,
-0.07622820883989334,
0.08048128336668015,
0.2570165991783142,
-0.069468192756176,
0.02047928236424923,
-0.21040309965610504,
0.03047284670174122,
0.08927395939826965,
0.1427948772907257,
0.23692886531352997,
-0.024752512574195862,
-0.2156609743833542,
0.0005510254995897412,
0.1827995628118515,
0.11411970853805542,
-0.07855338603258133,
-0.32897529006004333,
0.2802230417728424,
0.27836501598358154,
-0.11751806735992432,
-0.010236726142466068,
0.16770757734775543,
-0.09938807040452957,
0.2528513967990875,
0.2071538120508194,
0.10758750885725021,
0.052611079066991806,
0.26961180567741394,
0.12649419903755188,
0.40504035353660583,
-0.34832870960235596,
0.08942142128944397,
0.06441634148359299,
0.10164941847324371,
0.0377780981361866,
0.3812146782875061,
-0.15324392914772034,
0.08992191404104233,
0.14838334918022156,
0.18833690881729126,
0.20253953337669373,
0.2628898620605469,
0.21354152262210846,
-0.1878644973039627,
-0.03412109240889549,
-0.24108682572841644,
0.14363647997379303,
-0.14272600412368774,
0.4156598746776581,
0.15059241652488708,
0.19285538792610168,
-0.11485260725021362,
-0.4619389772415161,
-0.24626794457435608,
0.23536370694637299,
-0.3245418071746826,
-0.30920886993408203,
-0.04867832362651825,
-0.08018530905246735,
0.05592920631170273,
0.1945614516735077,
-0.07929019629955292,
0.20385901629924774,
0.34283849596977234,
-0.008660116232931614,
-0.013750203885138035,
-0.08435358107089996,
-0.17061741650104523,
0.11397870630025864,
0.27486518025398254,
-0.08173874765634537,
0.44693678617477417,
0.01080083753913641,
-0.05156949535012245,
-0.2344711422920227,
0.41141751408576965,
0.28612861037254333,
0.1949474811553955,
-0.168862447142601,
0.06395307183265686,
0.20064708590507507,
0.0306134894490242,
-0.3546890914440155,
0.3286518454551697,
0.1511448621749878,
-0.2930276095867157,
0.36800575256347656,
0.12379536032676697,
-0.23215578496456146,
0.2764037549495697,
-0.10419601202011108,
-0.20146721601486206,
-0.04988892748951912,
0.3224368989467621,
0.0997074767947197,
-0.0399320125579834,
-0.19496309757232666,
0.11112021654844284,
-0.14457158744335175,
-0.28533950448036194,
0.15934592485427856,
-0.02389831282198429,
0.46766093373298645,
-0.275675505399704,
0.11720515042543411,
-0.06182502955198288,
0.6220859885215759,
-0.02922753430902958,
0.12432888895273209,
-0.350137859582901,
0.10264351218938828,
-0.33316680788993835,
0.1984093189239502,
-0.08381783962249756,
0.15374279022216797,
-0.3975840210914612,
0.20426496863365173,
-0.11549855023622513,
-0.023466093465685844,
-0.11804244667291641,
-0.00788638461381197,
0.14740723371505737,
0.17893213033676147,
-0.3869176506996155,
0.1554814726114273,
-0.0862593725323677,
-0.00626726308837533,
0.2917737364768982,
-0.37667545676231384,
0.22199058532714844,
0.04247966781258583,
0.20691059529781342,
0.010986385866999626,
-0.02172369882464409,
-0.054806627333164215,
0.33657434582710266,
0.6232408285140991,
0.34702974557876587,
0.14255116879940033,
-0.10102774947881699,
0.08155330270528793,
-0.34743764996528625,
0.014104106463491917,
-0.06088816747069359,
-0.20964983105659485,
0.09756835550069809,
0.5258304476737976,
-0.22562745213508606,
0.13194629549980164,
-0.17804564535617828,
0.2366943657398224,
0.38227659463882446,
-0.15272878110408783,
0.06179971620440483,
0.048225898295640945,
-0.25984057784080505,
-0.005199328530579805,
-0.12586632370948792,
0.45379582047462463,
0.007182890549302101,
0.32383018732070923,
-0.3592907786369324,
-0.5417624711990356,
0.4329099953174591,
-0.4511263966560364,
-0.3025250732898712,
0.12327846884727478,
0.23878563940525055,
0.34956884384155273,
-0.06000060588121414,
-0.5436676144599915,
-0.1724908947944641,
0.26911357045173645,
-0.030661094933748245,
-0.15704523026943207,
0.20768482983112335,
-0.1486440747976303,
-0.04107564687728882,
-0.11675458401441574,
0.17646899819374084,
0.10152711719274521,
-0.29141318798065186,
0.2436991184949875,
-0.37010371685028076
] |
https://github.com/huggingface/datasets/issues/160 | caching in map causes same result to be returned for train, validation and test | Hi, the full example was listed in the PR above, but here is the exact link:
https://github.com/dpressel/mead-baseline/blob/3c1aa3ca062cb23f303ca98ac40b6652b37ee971/api-examples/layers-classify-hf-datasets.py
The problem is coming from
```
if cache_file_name is None:
# we create a unique hash from the function, current dataset file and the mapping args
cache_kwargs = {
"with_indices": with_indices,
"batched": batched,
"batch_size": batch_size,
"remove_columns": remove_columns,
"keep_in_memory": keep_in_memory,
"load_from_cache_file": load_from_cache_file,
"cache_file_name": cache_file_name,
"writer_batch_size": writer_batch_size,
"arrow_schema": arrow_schema,
"disable_nullable": disable_nullable,
}
cache_file_name = self._get_cache_file_path(function, cache_kwargs)
```
The cached value is always the same, but I was able to change that by just renaming the function each time which seems to fix the issue. | hello,
I am working on a program that uses the `nlp` library with the `SST2` dataset.
The rough outline of the program is:
```
import nlp as nlp_datasets
...
parser.add_argument('--dataset', help='HuggingFace Datasets id', default=['glue', 'sst2'], nargs='+')
...
dataset = nlp_datasets.load_dataset(*args.dataset)
...
# Create feature vocabs
vocabs = create_vocabs(dataset.values(), vectorizers)
...
# Create a function to vectorize based on vectorizers and vocabs:
print('TS', train_set.num_rows)
print('VS', valid_set.num_rows)
print('ES', test_set.num_rows)
# factory method to create a `convert_to_features` function based on vocabs
convert_to_features = create_featurizer(vectorizers, vocabs)
train_set = train_set.map(convert_to_features, batched=True)
train_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
train_loader = torch.utils.data.DataLoader(train_set, batch_size=args.batchsz)
valid_set = valid_set.map(convert_to_features, batched=True)
valid_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
valid_loader = torch.utils.data.DataLoader(valid_set, batch_size=args.batchsz)
test_set = test_set.map(convert_to_features, batched=True)
test_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
test_loader = torch.utils.data.DataLoader(test_set, batch_size=args.batchsz)
print('TS', train_set.num_rows)
print('VS', valid_set.num_rows)
print('ES', test_set.num_rows)
```
Im not sure if Im using it incorrectly, but the results are not what I expect. Namely, the `.map()` seems to grab the datset from the cache and then loses track of what the specific dataset is, instead using my training data for all datasets:
```
TS 67349
VS 872
ES 1821
TS 67349
VS 67349
ES 67349
```
The behavior changes if I turn off the caching but then the results fail:
```
train_set = train_set.map(convert_to_features, batched=True, load_from_cache_file=False)
...
valid_set = valid_set.map(convert_to_features, batched=True, load_from_cache_file=False)
...
test_set = test_set.map(convert_to_features, batched=True, load_from_cache_file=False)
```
Now I get the right set of features back...
```
TS 67349
VS 872
ES 1821
100%|██████████| 68/68 [00:00<00:00, 92.78it/s]
100%|██████████| 1/1 [00:00<00:00, 75.47it/s]
0%| | 0/2 [00:00<?, ?it/s]TS 67349
VS 872
ES 1821
100%|██████████| 2/2 [00:00<00:00, 77.19it/s]
```
but I think its losing track of the original training set:
```
Traceback (most recent call last):
File "/home/dpressel/dev/work/baseline/api-examples/layers-classify-hf-datasets.py", line 148, in <module>
for x in train_loader:
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 345, in __next__
data = self._next_data()
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 385, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp>
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/nlp/arrow_dataset.py", line 338, in __getitem__
output_all_columns=self._output_all_columns,
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/nlp/arrow_dataset.py", line 294, in _getitem
outputs = self._unnest(self._data.slice(key, 1).to_pydict())
File "pyarrow/table.pxi", line 1211, in pyarrow.lib.Table.slice
File "pyarrow/public-api.pxi", line 390, in pyarrow.lib.pyarrow_wrap_table
File "pyarrow/error.pxi", line 85, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Column 3: In chunk 0: Invalid: Length spanned by list offsets (15859698) larger than values array (length 100000)
Process finished with exit code 1
```
The full-example program (minus the print stmts) is here:
https://github.com/dpressel/mead-baseline/pull/620/files
| 99 | caching in map causes same result to be returned for train, validation and test
hello,
I am working on a program that uses the `nlp` library with the `SST2` dataset.
The rough outline of the program is:
```
import nlp as nlp_datasets
...
parser.add_argument('--dataset', help='HuggingFace Datasets id', default=['glue', 'sst2'], nargs='+')
...
dataset = nlp_datasets.load_dataset(*args.dataset)
...
# Create feature vocabs
vocabs = create_vocabs(dataset.values(), vectorizers)
...
# Create a function to vectorize based on vectorizers and vocabs:
print('TS', train_set.num_rows)
print('VS', valid_set.num_rows)
print('ES', test_set.num_rows)
# factory method to create a `convert_to_features` function based on vocabs
convert_to_features = create_featurizer(vectorizers, vocabs)
train_set = train_set.map(convert_to_features, batched=True)
train_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
train_loader = torch.utils.data.DataLoader(train_set, batch_size=args.batchsz)
valid_set = valid_set.map(convert_to_features, batched=True)
valid_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
valid_loader = torch.utils.data.DataLoader(valid_set, batch_size=args.batchsz)
test_set = test_set.map(convert_to_features, batched=True)
test_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
test_loader = torch.utils.data.DataLoader(test_set, batch_size=args.batchsz)
print('TS', train_set.num_rows)
print('VS', valid_set.num_rows)
print('ES', test_set.num_rows)
```
Im not sure if Im using it incorrectly, but the results are not what I expect. Namely, the `.map()` seems to grab the datset from the cache and then loses track of what the specific dataset is, instead using my training data for all datasets:
```
TS 67349
VS 872
ES 1821
TS 67349
VS 67349
ES 67349
```
The behavior changes if I turn off the caching but then the results fail:
```
train_set = train_set.map(convert_to_features, batched=True, load_from_cache_file=False)
...
valid_set = valid_set.map(convert_to_features, batched=True, load_from_cache_file=False)
...
test_set = test_set.map(convert_to_features, batched=True, load_from_cache_file=False)
```
Now I get the right set of features back...
```
TS 67349
VS 872
ES 1821
100%|██████████| 68/68 [00:00<00:00, 92.78it/s]
100%|██████████| 1/1 [00:00<00:00, 75.47it/s]
0%| | 0/2 [00:00<?, ?it/s]TS 67349
VS 872
ES 1821
100%|██████████| 2/2 [00:00<00:00, 77.19it/s]
```
but I think its losing track of the original training set:
```
Traceback (most recent call last):
File "/home/dpressel/dev/work/baseline/api-examples/layers-classify-hf-datasets.py", line 148, in <module>
for x in train_loader:
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 345, in __next__
data = self._next_data()
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 385, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp>
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/nlp/arrow_dataset.py", line 338, in __getitem__
output_all_columns=self._output_all_columns,
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/nlp/arrow_dataset.py", line 294, in _getitem
outputs = self._unnest(self._data.slice(key, 1).to_pydict())
File "pyarrow/table.pxi", line 1211, in pyarrow.lib.Table.slice
File "pyarrow/public-api.pxi", line 390, in pyarrow.lib.pyarrow_wrap_table
File "pyarrow/error.pxi", line 85, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Column 3: In chunk 0: Invalid: Length spanned by list offsets (15859698) larger than values array (length 100000)
Process finished with exit code 1
```
The full-example program (minus the print stmts) is here:
https://github.com/dpressel/mead-baseline/pull/620/files
Hi, the full example was listed in the PR above, but here is the exact link:
https://github.com/dpressel/mead-baseline/blob/3c1aa3ca062cb23f303ca98ac40b6652b37ee971/api-examples/layers-classify-hf-datasets.py
The problem is coming from
```
if cache_file_name is None:
# we create a unique hash from the function, current dataset file and the mapping args
cache_kwargs = {
"with_indices": with_indices,
"batched": batched,
"batch_size": batch_size,
"remove_columns": remove_columns,
"keep_in_memory": keep_in_memory,
"load_from_cache_file": load_from_cache_file,
"cache_file_name": cache_file_name,
"writer_batch_size": writer_batch_size,
"arrow_schema": arrow_schema,
"disable_nullable": disable_nullable,
}
cache_file_name = self._get_cache_file_path(function, cache_kwargs)
```
The cached value is always the same, but I was able to change that by just renaming the function each time which seems to fix the issue. | [
-0.12632250785827637,
-0.22070901095867157,
-0.10063198953866959,
0.27801084518432617,
0.24547572433948517,
-0.20522341132164001,
0.137210875749588,
0.5128593444824219,
0.18828663229942322,
-0.06233531981706619,
0.12781980633735657,
0.38913458585739136,
0.003776297438889742,
-0.1606176495552063,
-0.010743561200797558,
0.024212030693888664,
0.09608013927936554,
0.23505231738090515,
-0.14556236565113068,
-0.1648235321044922,
0.08189409971237183,
0.2129841297864914,
-0.042409978806972504,
0.11652691662311554,
-0.39034950733184814,
0.041289906948804855,
0.21235668659210205,
-0.2308902144432068,
0.06845776736736298,
-0.25706538558006287,
0.1678507924079895,
-0.09324328601360321,
0.02583368308842182,
0.16631756722927094,
-0.00010973814642056823,
0.0067980014719069,
-0.01538778841495514,
-0.13856948912143707,
-0.007274831645190716,
0.04019518941640854,
0.11813383549451828,
-0.21172897517681122,
-0.10918274521827698,
-0.3121316730976105,
-0.3320115804672241,
-0.03766085207462311,
0.01780932955443859,
-0.35565948486328125,
0.31285759806632996,
0.14745205640792847,
0.26071032881736755,
0.22490893304347992,
-0.2538125216960907,
0.21113626658916473,
0.14512759447097778,
-0.029327336698770523,
-0.17419742047786713,
-0.04230547323822975,
-0.04397892951965332,
-0.33446553349494934,
-0.37676504254341125,
0.5254571437835693,
-0.07658161967992783,
0.17014139890670776,
0.21466633677482605,
0.22505579888820648,
0.17260590195655823,
0.035937704145908356,
0.1429363638162613,
-0.11396253854036331,
0.011094827204942703,
-0.22691738605499268,
-0.027116434648633003,
-0.3733721077442169,
-0.4186401665210724,
-0.07852599024772644,
0.13762502372264862,
0.18104472756385803,
-0.1363932490348816,
-0.06371653825044632,
-0.43193766474723816,
0.2392898052930832,
0.0652494877576828,
-0.012788408435881138,
0.11952681839466095,
0.29516080021858215,
0.04380622133612633,
0.19522294402122498,
0.12944649159908295,
-0.06973281502723694,
-0.022558962926268578,
-0.21451696753501892,
-0.05897140875458717,
0.22640138864517212,
-0.4359849691390991,
0.07208239287137985,
0.4315200448036194,
-0.1404140740633011,
-0.053242750465869904,
0.03063775785267353,
0.3919311761856079,
0.07921352982521057,
0.11681784689426422,
-0.008491764776408672,
-0.10416068881750107,
0.5898676514625549,
0.04432177543640137,
0.17118391394615173,
-0.014969921670854092,
-0.19827847182750702,
-0.3560168445110321,
0.004987859632819891,
0.2880178987979889,
-0.28660091757774353,
0.42841145396232605,
0.40236055850982666,
-0.04226037487387657,
-0.12152973562479019,
-0.030102189630270004,
0.09402408450841904,
-0.33085379004478455,
0.05566990002989769,
0.058729998767375946,
0.31395798921585083,
-0.22545045614242554,
0.14926567673683167,
-0.17376750707626343,
-0.10335483402013779,
-0.3849693238735199,
0.12735125422477722,
-0.33784618973731995,
-0.033323898911476135,
-0.4962189197540283,
0.0015165578806772828,
0.28538474440574646,
-0.002859933767467737,
0.28535225987434387,
-0.038445454090833664,
-0.13722018897533417,
-0.3019891679286957,
0.10317365825176239,
-0.39851170778274536,
0.5702314376831055,
-0.1072295531630516,
-0.19701702892780304,
0.24102117121219635,
0.13037829101085663,
0.08526421338319778,
-0.29768794775009155,
-0.19837751984596252,
-0.1698075532913208,
-0.20906901359558105,
0.2598607540130615,
0.24224542081356049,
-0.07942765206098557,
0.14139588177204132,
0.09248226881027222,
0.0776788741350174,
0.3432585299015045,
-0.232854962348938,
0.10284040868282318,
-0.20148923993110657,
-0.28198012709617615,
-0.2043590545654297,
0.16256873309612274,
0.2623099982738495,
0.06677649915218353,
-0.13737238943576813,
0.4017971158027649,
0.2371826320886612,
0.14729078114032745,
0.4138067364692688,
-0.1965339034795761,
0.30949410796165466,
-0.43349170684814453,
0.3486190438270569,
0.506476879119873,
-0.32673147320747375,
-0.49634483456611633,
0.09944828599691391,
-0.15631580352783203,
0.1002880334854126,
0.10244903713464737,
0.15137287974357605,
0.029087670147418976,
0.014419378712773323,
0.1285371035337448,
0.018702296540141106,
-0.0005146907060407102,
0.208420529961586,
-0.31692788004875183,
-0.021933916956186295,
0.5500646233558655,
-0.2524673640727997,
0.02847237139940262,
-0.13123734295368195,
-0.05504271760582924,
0.021933000534772873,
0.006768169347196817,
-0.11219003051519394,
0.12185932695865631,
0.11460470408201218,
-0.056878868490457535,
-0.1581844687461853,
-0.10643851011991501,
-0.024692509323358536,
-0.28826257586479187,
0.23830120265483856,
-0.14981895685195923,
-0.0999680832028389,
0.06172538921236992,
-0.09704917669296265,
-0.16200260818004608,
-0.12927502393722534,
-0.18091638386249542,
-0.27306458353996277,
0.20130178332328796,
0.23052407801151276,
0.3202398419380188,
-0.07290733605623245,
0.2252090722322464,
0.3680817782878876,
0.048363614827394485,
-0.21607212722301483,
-0.4300347566604614,
0.08568026125431061,
-0.17773471772670746,
-0.2188279777765274,
-0.0748467668890953,
0.22306986153125763,
0.2090262770652771,
-0.04792642965912819,
-0.14242812991142273,
0.14827579259872437,
-0.2220856100320816,
0.4189179241657257,
-0.13702799379825592,
0.269452840089798,
-0.06965683400630951,
0.029306238517165184,
0.016667358577251434,
0.25400519371032715,
0.05881987884640694,
-0.08980134129524231,
-0.07270598411560059,
0.47423407435417175,
0.18140216171741486,
0.17011605203151703,
-0.048070792108774185,
-0.21626794338226318,
0.051984209567308426,
-0.17831753194332123,
-0.12091574817895889,
-0.11881643533706665,
0.13640747964382172,
-0.08057200163602829,
0.1488880068063736,
0.15232868492603302,
-0.10698743164539337,
0.3120083510875702,
0.7600833773612976,
0.19691871106624603,
-0.011016919277608395,
0.015740947797894478,
-0.057213034480810165,
-0.21779173612594604,
0.3338564336299896,
-0.05868269130587578,
0.31038790941238403,
0.10473166406154633,
0.12716487050056458,
-0.04620952904224396,
-0.21965020895004272,
-0.15443570911884308,
0.12464798986911774,
-0.21436883509159088,
-0.1919763833284378,
0.308034211397171,
0.28208687901496887,
-0.15836724638938904,
-0.35378316044807434,
0.0940157026052475,
-0.01276430580765009,
0.026191623881459236,
-0.15800140798091888,
0.21723663806915283,
-0.1665293276309967,
-0.2780851721763611,
-0.28641536831855774,
0.13615694642066956,
-0.12220374494791031,
-0.0921654924750328,
-0.04126313701272011,
0.42542964220046997,
-0.036654673516750336,
0.19515161216259003,
-0.3149721920490265,
0.08951952308416367,
0.226604163646698,
-0.2663276791572571,
-0.07168538868427277,
-0.1902879923582077,
-0.39492008090019226,
0.04223187640309334,
-0.09523041546344757,
-0.0929960310459137,
0.3783297538757324,
-0.04731621965765953,
-0.06796029210090637,
-0.2881457805633545,
-0.1725403368473053,
0.10717813670635223,
-0.09261170029640198,
-0.15536807477474213,
0.16724860668182373,
-0.03133843466639519,
-0.10115880519151688,
-0.2987455725669861,
0.29379722476005554,
-0.3053131401538849,
-0.29914355278015137,
-0.05198654159903526,
0.09890630096197128,
0.03010939620435238,
-0.28034764528274536,
-0.42862412333488464,
0.27357834577560425,
-0.31724390387535095,
0.07546782493591309,
-0.14892923831939697,
0.18622653186321259,
0.33093470335006714,
0.008953339420258999,
-0.014561006799340248,
-0.06404032558202744,
0.16439402103424072,
-0.46741002798080444,
-0.1409541219472885,
0.32257840037345886,
0.01876099780201912,
-0.21630428731441498,
-0.32459139823913574,
-0.27572473883628845,
0.347724050283432,
0.19238898158073425,
-0.5803960561752319,
-0.21442314982414246,
-0.04890046268701553,
0.24803197383880615,
-0.05125873163342476,
-0.04649535194039345,
0.5745421648025513,
0.01972527615725994,
-0.17946361005306244,
-0.16727842390537262,
-0.33184051513671875,
0.35973140597343445,
0.41926297545433044,
0.2494877278804779,
-0.011159147135913372,
0.17781507968902588,
0.20092034339904785,
0.6707466244697571,
0.20191961526870728,
-0.25905755162239075,
0.3317307233810425,
0.10723208636045456,
0.07499753683805466,
-0.2034970372915268,
-0.3130224943161011,
0.18576058745384216,
-0.18160304427146912,
0.019732147455215454,
0.2719840407371521,
0.006251134444028139,
-0.2801845371723175,
0.01774226687848568,
0.21881961822509766,
-0.2253446877002716,
-0.3280579447746277,
0.2597459852695465,
-0.34242793917655945,
0.24094845354557037,
0.03637058660387993,
0.31580042839050293,
-0.5820142030715942,
-0.24272412061691284,
0.19462814927101135,
-0.33594635128974915,
0.2798454165458679,
0.04449770972132683,
-0.5836008787155151,
0.12147048860788345,
-0.538021981716156,
0.18194131553173065,
0.3146284818649292,
0.2724076807498932,
-0.09202561527490616,
-0.2465258091688156,
0.04334738850593567,
-0.14713139832019806,
0.5711411833763123,
0.040972813963890076,
0.4085797369480133,
0.1699264794588089,
-0.1302468627691269,
-0.1994732767343521,
-0.2247127890586853,
0.017234763130545616,
0.2801370620727539,
0.32649919390678406,
0.40084776282310486,
-0.3452445864677429,
-0.36327362060546875,
-0.26576584577560425,
0.007364223711192608,
-0.04618128761649132,
0.007107758894562721,
-0.12583346664905548,
0.18938525021076202,
0.01648680679500103,
0.17434526979923248,
-0.01498047262430191,
0.1183028295636177,
0.016039855778217316,
-0.13654641807079315,
-0.03913364186882973,
-0.21942690014839172,
0.1282409280538559,
0.2264377325773239,
0.4735944867134094,
0.15032504498958588,
0.03246142715215683,
0.033214494585990906,
0.21515744924545288,
-0.5671088099479675,
0.26595762372016907,
-0.08884964138269424,
-0.004131742753088474,
0.07464420050382614,
0.14443816244602203,
-0.03030155971646309,
0.3378978669643402,
-0.04252500832080841,
0.14571364223957062,
-0.12862949073314667,
0.008956843055784702,
-0.5539686679840088,
0.4854544401168823,
0.3874591886997223,
0.13246646523475647,
-0.04488928243517876,
-0.24685749411582947,
0.17346294224262238,
0.07412006705999374,
-0.2765309810638428,
0.1322597712278366,
-0.4306926131248474,
-0.43199479579925537,
0.1857973337173462,
0.20948611199855804,
0.9232466816902161,
0.332022100687027,
0.3719581067562103,
0.1007041484117508,
0.10358098894357681,
0.2642512321472168,
-0.23411183059215546,
0.40925082564353943,
-0.3693642020225525,
-0.0463179275393486,
0.024538656696677208,
-0.16673317551612854,
-0.22738394141197205,
-0.010426265187561512,
-0.01099333819001913,
0.30259495973587036,
0.32405051589012146,
0.5999365448951721,
-0.11211955547332764,
0.16669917106628418,
0.21569165587425232,
-0.15811017155647278,
-0.2492315024137497,
0.2010732889175415,
-0.29230374097824097,
0.3152405023574829,
-0.11240831762552261,
-0.07410863041877747,
-0.01650959439575672,
-0.35134196281433105,
0.06714027374982834,
0.06094216927886009,
-0.3365170657634735,
0.3048412501811981,
0.13346198201179504,
-0.27266666293144226,
-0.2969881594181061,
0.2550773024559021,
0.11198677867650986,
0.08252744376659393,
-0.048600129783153534,
-0.03518514335155487,
0.40064483880996704,
0.3504585027694702,
-0.006891036406159401,
-0.20158861577510834,
0.1864127367734909,
0.06387528032064438,
-0.012894121930003166,
0.03024262934923172,
-0.05640564113855362,
-0.3015829622745514,
-0.25251179933547974,
0.14820435643196106,
0.003372181672602892,
-0.41296184062957764,
-0.05531826987862587,
0.061445046216249466,
-0.066788449883461,
-0.09413714706897736,
0.15088026225566864,
-0.026068205013871193,
-0.10794040560722351,
0.3151542544364929,
0.1173383817076683,
-0.24304209649562836,
0.05235802382230759,
0.47483208775520325,
-0.040397144854068756,
0.03181783854961395,
0.41542795300483704,
-0.15281881392002106,
-0.10380645841360092,
-0.2553911507129669,
-0.28417274355888367,
-0.10205967724323273,
-0.44884082674980164,
0.11220790445804596,
-0.2194061428308487,
-0.4019114077091217,
0.0442325733602047,
0.280818372964859,
0.014706877060234547,
0.31849586963653564,
-0.011618148535490036,
-0.12495850026607513,
-0.37697234749794006,
-0.10379048436880112,
-0.1065821498632431,
0.2671777307987213,
0.2795186936855316,
0.2843484878540039,
-0.29586702585220337,
0.2492261826992035,
-0.38310956954956055,
-0.1071421355009079,
-0.18716979026794434,
0.4379133880138397,
-0.03913804888725281,
-0.3655827045440674,
-0.009147044271230698,
0.00185489805880934,
0.12997117638587952,
0.17754493653774261,
-0.6386589407920837,
-0.2926190495491028,
-0.09099180996417999,
0.08186071366071701,
-0.007587700616568327,
-0.159822016954422,
-0.23928211629390717,
-0.017213808372616768,
0.18238461017608643,
-0.42740321159362793,
0.09215689450502396,
0.15121674537658691,
0.047031741589307785,
0.23718656599521637,
-0.16102980077266693,
0.12145575135946274,
0.2881677746772766,
-0.18652726709842682,
-0.18414875864982605,
-0.07622820883989334,
0.08048128336668015,
0.2570165991783142,
-0.069468192756176,
0.02047928236424923,
-0.21040309965610504,
0.03047284670174122,
0.08927395939826965,
0.1427948772907257,
0.23692886531352997,
-0.024752512574195862,
-0.2156609743833542,
0.0005510254995897412,
0.1827995628118515,
0.11411970853805542,
-0.07855338603258133,
-0.32897529006004333,
0.2802230417728424,
0.27836501598358154,
-0.11751806735992432,
-0.010236726142466068,
0.16770757734775543,
-0.09938807040452957,
0.2528513967990875,
0.2071538120508194,
0.10758750885725021,
0.052611079066991806,
0.26961180567741394,
0.12649419903755188,
0.40504035353660583,
-0.34832870960235596,
0.08942142128944397,
0.06441634148359299,
0.10164941847324371,
0.0377780981361866,
0.3812146782875061,
-0.15324392914772034,
0.08992191404104233,
0.14838334918022156,
0.18833690881729126,
0.20253953337669373,
0.2628898620605469,
0.21354152262210846,
-0.1878644973039627,
-0.03412109240889549,
-0.24108682572841644,
0.14363647997379303,
-0.14272600412368774,
0.4156598746776581,
0.15059241652488708,
0.19285538792610168,
-0.11485260725021362,
-0.4619389772415161,
-0.24626794457435608,
0.23536370694637299,
-0.3245418071746826,
-0.30920886993408203,
-0.04867832362651825,
-0.08018530905246735,
0.05592920631170273,
0.1945614516735077,
-0.07929019629955292,
0.20385901629924774,
0.34283849596977234,
-0.008660116232931614,
-0.013750203885138035,
-0.08435358107089996,
-0.17061741650104523,
0.11397870630025864,
0.27486518025398254,
-0.08173874765634537,
0.44693678617477417,
0.01080083753913641,
-0.05156949535012245,
-0.2344711422920227,
0.41141751408576965,
0.28612861037254333,
0.1949474811553955,
-0.168862447142601,
0.06395307183265686,
0.20064708590507507,
0.0306134894490242,
-0.3546890914440155,
0.3286518454551697,
0.1511448621749878,
-0.2930276095867157,
0.36800575256347656,
0.12379536032676697,
-0.23215578496456146,
0.2764037549495697,
-0.10419601202011108,
-0.20146721601486206,
-0.04988892748951912,
0.3224368989467621,
0.0997074767947197,
-0.0399320125579834,
-0.19496309757232666,
0.11112021654844284,
-0.14457158744335175,
-0.28533950448036194,
0.15934592485427856,
-0.02389831282198429,
0.46766093373298645,
-0.275675505399704,
0.11720515042543411,
-0.06182502955198288,
0.6220859885215759,
-0.02922753430902958,
0.12432888895273209,
-0.350137859582901,
0.10264351218938828,
-0.33316680788993835,
0.1984093189239502,
-0.08381783962249756,
0.15374279022216797,
-0.3975840210914612,
0.20426496863365173,
-0.11549855023622513,
-0.023466093465685844,
-0.11804244667291641,
-0.00788638461381197,
0.14740723371505737,
0.17893213033676147,
-0.3869176506996155,
0.1554814726114273,
-0.0862593725323677,
-0.00626726308837533,
0.2917737364768982,
-0.37667545676231384,
0.22199058532714844,
0.04247966781258583,
0.20691059529781342,
0.010986385866999626,
-0.02172369882464409,
-0.054806627333164215,
0.33657434582710266,
0.6232408285140991,
0.34702974557876587,
0.14255116879940033,
-0.10102774947881699,
0.08155330270528793,
-0.34743764996528625,
0.014104106463491917,
-0.06088816747069359,
-0.20964983105659485,
0.09756835550069809,
0.5258304476737976,
-0.22562745213508606,
0.13194629549980164,
-0.17804564535617828,
0.2366943657398224,
0.38227659463882446,
-0.15272878110408783,
0.06179971620440483,
0.048225898295640945,
-0.25984057784080505,
-0.005199328530579805,
-0.12586632370948792,
0.45379582047462463,
0.007182890549302101,
0.32383018732070923,
-0.3592907786369324,
-0.5417624711990356,
0.4329099953174591,
-0.4511263966560364,
-0.3025250732898712,
0.12327846884727478,
0.23878563940525055,
0.34956884384155273,
-0.06000060588121414,
-0.5436676144599915,
-0.1724908947944641,
0.26911357045173645,
-0.030661094933748245,
-0.15704523026943207,
0.20768482983112335,
-0.1486440747976303,
-0.04107564687728882,
-0.11675458401441574,
0.17646899819374084,
0.10152711719274521,
-0.29141318798065186,
0.2436991184949875,
-0.37010371685028076
] |
https://github.com/huggingface/datasets/issues/160 | caching in map causes same result to be returned for train, validation and test | Ok, I think @lhoestq has already found a solution :-) Maybe you can chime in @lhoestq | hello,
I am working on a program that uses the `nlp` library with the `SST2` dataset.
The rough outline of the program is:
```
import nlp as nlp_datasets
...
parser.add_argument('--dataset', help='HuggingFace Datasets id', default=['glue', 'sst2'], nargs='+')
...
dataset = nlp_datasets.load_dataset(*args.dataset)
...
# Create feature vocabs
vocabs = create_vocabs(dataset.values(), vectorizers)
...
# Create a function to vectorize based on vectorizers and vocabs:
print('TS', train_set.num_rows)
print('VS', valid_set.num_rows)
print('ES', test_set.num_rows)
# factory method to create a `convert_to_features` function based on vocabs
convert_to_features = create_featurizer(vectorizers, vocabs)
train_set = train_set.map(convert_to_features, batched=True)
train_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
train_loader = torch.utils.data.DataLoader(train_set, batch_size=args.batchsz)
valid_set = valid_set.map(convert_to_features, batched=True)
valid_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
valid_loader = torch.utils.data.DataLoader(valid_set, batch_size=args.batchsz)
test_set = test_set.map(convert_to_features, batched=True)
test_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
test_loader = torch.utils.data.DataLoader(test_set, batch_size=args.batchsz)
print('TS', train_set.num_rows)
print('VS', valid_set.num_rows)
print('ES', test_set.num_rows)
```
Im not sure if Im using it incorrectly, but the results are not what I expect. Namely, the `.map()` seems to grab the datset from the cache and then loses track of what the specific dataset is, instead using my training data for all datasets:
```
TS 67349
VS 872
ES 1821
TS 67349
VS 67349
ES 67349
```
The behavior changes if I turn off the caching but then the results fail:
```
train_set = train_set.map(convert_to_features, batched=True, load_from_cache_file=False)
...
valid_set = valid_set.map(convert_to_features, batched=True, load_from_cache_file=False)
...
test_set = test_set.map(convert_to_features, batched=True, load_from_cache_file=False)
```
Now I get the right set of features back...
```
TS 67349
VS 872
ES 1821
100%|██████████| 68/68 [00:00<00:00, 92.78it/s]
100%|██████████| 1/1 [00:00<00:00, 75.47it/s]
0%| | 0/2 [00:00<?, ?it/s]TS 67349
VS 872
ES 1821
100%|██████████| 2/2 [00:00<00:00, 77.19it/s]
```
but I think its losing track of the original training set:
```
Traceback (most recent call last):
File "/home/dpressel/dev/work/baseline/api-examples/layers-classify-hf-datasets.py", line 148, in <module>
for x in train_loader:
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 345, in __next__
data = self._next_data()
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 385, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp>
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/nlp/arrow_dataset.py", line 338, in __getitem__
output_all_columns=self._output_all_columns,
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/nlp/arrow_dataset.py", line 294, in _getitem
outputs = self._unnest(self._data.slice(key, 1).to_pydict())
File "pyarrow/table.pxi", line 1211, in pyarrow.lib.Table.slice
File "pyarrow/public-api.pxi", line 390, in pyarrow.lib.pyarrow_wrap_table
File "pyarrow/error.pxi", line 85, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Column 3: In chunk 0: Invalid: Length spanned by list offsets (15859698) larger than values array (length 100000)
Process finished with exit code 1
```
The full-example program (minus the print stmts) is here:
https://github.com/dpressel/mead-baseline/pull/620/files
| 16 | caching in map causes same result to be returned for train, validation and test
hello,
I am working on a program that uses the `nlp` library with the `SST2` dataset.
The rough outline of the program is:
```
import nlp as nlp_datasets
...
parser.add_argument('--dataset', help='HuggingFace Datasets id', default=['glue', 'sst2'], nargs='+')
...
dataset = nlp_datasets.load_dataset(*args.dataset)
...
# Create feature vocabs
vocabs = create_vocabs(dataset.values(), vectorizers)
...
# Create a function to vectorize based on vectorizers and vocabs:
print('TS', train_set.num_rows)
print('VS', valid_set.num_rows)
print('ES', test_set.num_rows)
# factory method to create a `convert_to_features` function based on vocabs
convert_to_features = create_featurizer(vectorizers, vocabs)
train_set = train_set.map(convert_to_features, batched=True)
train_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
train_loader = torch.utils.data.DataLoader(train_set, batch_size=args.batchsz)
valid_set = valid_set.map(convert_to_features, batched=True)
valid_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
valid_loader = torch.utils.data.DataLoader(valid_set, batch_size=args.batchsz)
test_set = test_set.map(convert_to_features, batched=True)
test_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
test_loader = torch.utils.data.DataLoader(test_set, batch_size=args.batchsz)
print('TS', train_set.num_rows)
print('VS', valid_set.num_rows)
print('ES', test_set.num_rows)
```
Im not sure if Im using it incorrectly, but the results are not what I expect. Namely, the `.map()` seems to grab the datset from the cache and then loses track of what the specific dataset is, instead using my training data for all datasets:
```
TS 67349
VS 872
ES 1821
TS 67349
VS 67349
ES 67349
```
The behavior changes if I turn off the caching but then the results fail:
```
train_set = train_set.map(convert_to_features, batched=True, load_from_cache_file=False)
...
valid_set = valid_set.map(convert_to_features, batched=True, load_from_cache_file=False)
...
test_set = test_set.map(convert_to_features, batched=True, load_from_cache_file=False)
```
Now I get the right set of features back...
```
TS 67349
VS 872
ES 1821
100%|██████████| 68/68 [00:00<00:00, 92.78it/s]
100%|██████████| 1/1 [00:00<00:00, 75.47it/s]
0%| | 0/2 [00:00<?, ?it/s]TS 67349
VS 872
ES 1821
100%|██████████| 2/2 [00:00<00:00, 77.19it/s]
```
but I think its losing track of the original training set:
```
Traceback (most recent call last):
File "/home/dpressel/dev/work/baseline/api-examples/layers-classify-hf-datasets.py", line 148, in <module>
for x in train_loader:
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 345, in __next__
data = self._next_data()
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 385, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp>
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/nlp/arrow_dataset.py", line 338, in __getitem__
output_all_columns=self._output_all_columns,
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/nlp/arrow_dataset.py", line 294, in _getitem
outputs = self._unnest(self._data.slice(key, 1).to_pydict())
File "pyarrow/table.pxi", line 1211, in pyarrow.lib.Table.slice
File "pyarrow/public-api.pxi", line 390, in pyarrow.lib.pyarrow_wrap_table
File "pyarrow/error.pxi", line 85, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Column 3: In chunk 0: Invalid: Length spanned by list offsets (15859698) larger than values array (length 100000)
Process finished with exit code 1
```
The full-example program (minus the print stmts) is here:
https://github.com/dpressel/mead-baseline/pull/620/files
Ok, I think @lhoestq has already found a solution :-) Maybe you can chime in @lhoestq | [
-0.12632250785827637,
-0.22070901095867157,
-0.10063198953866959,
0.27801084518432617,
0.24547572433948517,
-0.20522341132164001,
0.137210875749588,
0.5128593444824219,
0.18828663229942322,
-0.06233531981706619,
0.12781980633735657,
0.38913458585739136,
0.003776297438889742,
-0.1606176495552063,
-0.010743561200797558,
0.024212030693888664,
0.09608013927936554,
0.23505231738090515,
-0.14556236565113068,
-0.1648235321044922,
0.08189409971237183,
0.2129841297864914,
-0.042409978806972504,
0.11652691662311554,
-0.39034950733184814,
0.041289906948804855,
0.21235668659210205,
-0.2308902144432068,
0.06845776736736298,
-0.25706538558006287,
0.1678507924079895,
-0.09324328601360321,
0.02583368308842182,
0.16631756722927094,
-0.00010973814642056823,
0.0067980014719069,
-0.01538778841495514,
-0.13856948912143707,
-0.007274831645190716,
0.04019518941640854,
0.11813383549451828,
-0.21172897517681122,
-0.10918274521827698,
-0.3121316730976105,
-0.3320115804672241,
-0.03766085207462311,
0.01780932955443859,
-0.35565948486328125,
0.31285759806632996,
0.14745205640792847,
0.26071032881736755,
0.22490893304347992,
-0.2538125216960907,
0.21113626658916473,
0.14512759447097778,
-0.029327336698770523,
-0.17419742047786713,
-0.04230547323822975,
-0.04397892951965332,
-0.33446553349494934,
-0.37676504254341125,
0.5254571437835693,
-0.07658161967992783,
0.17014139890670776,
0.21466633677482605,
0.22505579888820648,
0.17260590195655823,
0.035937704145908356,
0.1429363638162613,
-0.11396253854036331,
0.011094827204942703,
-0.22691738605499268,
-0.027116434648633003,
-0.3733721077442169,
-0.4186401665210724,
-0.07852599024772644,
0.13762502372264862,
0.18104472756385803,
-0.1363932490348816,
-0.06371653825044632,
-0.43193766474723816,
0.2392898052930832,
0.0652494877576828,
-0.012788408435881138,
0.11952681839466095,
0.29516080021858215,
0.04380622133612633,
0.19522294402122498,
0.12944649159908295,
-0.06973281502723694,
-0.022558962926268578,
-0.21451696753501892,
-0.05897140875458717,
0.22640138864517212,
-0.4359849691390991,
0.07208239287137985,
0.4315200448036194,
-0.1404140740633011,
-0.053242750465869904,
0.03063775785267353,
0.3919311761856079,
0.07921352982521057,
0.11681784689426422,
-0.008491764776408672,
-0.10416068881750107,
0.5898676514625549,
0.04432177543640137,
0.17118391394615173,
-0.014969921670854092,
-0.19827847182750702,
-0.3560168445110321,
0.004987859632819891,
0.2880178987979889,
-0.28660091757774353,
0.42841145396232605,
0.40236055850982666,
-0.04226037487387657,
-0.12152973562479019,
-0.030102189630270004,
0.09402408450841904,
-0.33085379004478455,
0.05566990002989769,
0.058729998767375946,
0.31395798921585083,
-0.22545045614242554,
0.14926567673683167,
-0.17376750707626343,
-0.10335483402013779,
-0.3849693238735199,
0.12735125422477722,
-0.33784618973731995,
-0.033323898911476135,
-0.4962189197540283,
0.0015165578806772828,
0.28538474440574646,
-0.002859933767467737,
0.28535225987434387,
-0.038445454090833664,
-0.13722018897533417,
-0.3019891679286957,
0.10317365825176239,
-0.39851170778274536,
0.5702314376831055,
-0.1072295531630516,
-0.19701702892780304,
0.24102117121219635,
0.13037829101085663,
0.08526421338319778,
-0.29768794775009155,
-0.19837751984596252,
-0.1698075532913208,
-0.20906901359558105,
0.2598607540130615,
0.24224542081356049,
-0.07942765206098557,
0.14139588177204132,
0.09248226881027222,
0.0776788741350174,
0.3432585299015045,
-0.232854962348938,
0.10284040868282318,
-0.20148923993110657,
-0.28198012709617615,
-0.2043590545654297,
0.16256873309612274,
0.2623099982738495,
0.06677649915218353,
-0.13737238943576813,
0.4017971158027649,
0.2371826320886612,
0.14729078114032745,
0.4138067364692688,
-0.1965339034795761,
0.30949410796165466,
-0.43349170684814453,
0.3486190438270569,
0.506476879119873,
-0.32673147320747375,
-0.49634483456611633,
0.09944828599691391,
-0.15631580352783203,
0.1002880334854126,
0.10244903713464737,
0.15137287974357605,
0.029087670147418976,
0.014419378712773323,
0.1285371035337448,
0.018702296540141106,
-0.0005146907060407102,
0.208420529961586,
-0.31692788004875183,
-0.021933916956186295,
0.5500646233558655,
-0.2524673640727997,
0.02847237139940262,
-0.13123734295368195,
-0.05504271760582924,
0.021933000534772873,
0.006768169347196817,
-0.11219003051519394,
0.12185932695865631,
0.11460470408201218,
-0.056878868490457535,
-0.1581844687461853,
-0.10643851011991501,
-0.024692509323358536,
-0.28826257586479187,
0.23830120265483856,
-0.14981895685195923,
-0.0999680832028389,
0.06172538921236992,
-0.09704917669296265,
-0.16200260818004608,
-0.12927502393722534,
-0.18091638386249542,
-0.27306458353996277,
0.20130178332328796,
0.23052407801151276,
0.3202398419380188,
-0.07290733605623245,
0.2252090722322464,
0.3680817782878876,
0.048363614827394485,
-0.21607212722301483,
-0.4300347566604614,
0.08568026125431061,
-0.17773471772670746,
-0.2188279777765274,
-0.0748467668890953,
0.22306986153125763,
0.2090262770652771,
-0.04792642965912819,
-0.14242812991142273,
0.14827579259872437,
-0.2220856100320816,
0.4189179241657257,
-0.13702799379825592,
0.269452840089798,
-0.06965683400630951,
0.029306238517165184,
0.016667358577251434,
0.25400519371032715,
0.05881987884640694,
-0.08980134129524231,
-0.07270598411560059,
0.47423407435417175,
0.18140216171741486,
0.17011605203151703,
-0.048070792108774185,
-0.21626794338226318,
0.051984209567308426,
-0.17831753194332123,
-0.12091574817895889,
-0.11881643533706665,
0.13640747964382172,
-0.08057200163602829,
0.1488880068063736,
0.15232868492603302,
-0.10698743164539337,
0.3120083510875702,
0.7600833773612976,
0.19691871106624603,
-0.011016919277608395,
0.015740947797894478,
-0.057213034480810165,
-0.21779173612594604,
0.3338564336299896,
-0.05868269130587578,
0.31038790941238403,
0.10473166406154633,
0.12716487050056458,
-0.04620952904224396,
-0.21965020895004272,
-0.15443570911884308,
0.12464798986911774,
-0.21436883509159088,
-0.1919763833284378,
0.308034211397171,
0.28208687901496887,
-0.15836724638938904,
-0.35378316044807434,
0.0940157026052475,
-0.01276430580765009,
0.026191623881459236,
-0.15800140798091888,
0.21723663806915283,
-0.1665293276309967,
-0.2780851721763611,
-0.28641536831855774,
0.13615694642066956,
-0.12220374494791031,
-0.0921654924750328,
-0.04126313701272011,
0.42542964220046997,
-0.036654673516750336,
0.19515161216259003,
-0.3149721920490265,
0.08951952308416367,
0.226604163646698,
-0.2663276791572571,
-0.07168538868427277,
-0.1902879923582077,
-0.39492008090019226,
0.04223187640309334,
-0.09523041546344757,
-0.0929960310459137,
0.3783297538757324,
-0.04731621965765953,
-0.06796029210090637,
-0.2881457805633545,
-0.1725403368473053,
0.10717813670635223,
-0.09261170029640198,
-0.15536807477474213,
0.16724860668182373,
-0.03133843466639519,
-0.10115880519151688,
-0.2987455725669861,
0.29379722476005554,
-0.3053131401538849,
-0.29914355278015137,
-0.05198654159903526,
0.09890630096197128,
0.03010939620435238,
-0.28034764528274536,
-0.42862412333488464,
0.27357834577560425,
-0.31724390387535095,
0.07546782493591309,
-0.14892923831939697,
0.18622653186321259,
0.33093470335006714,
0.008953339420258999,
-0.014561006799340248,
-0.06404032558202744,
0.16439402103424072,
-0.46741002798080444,
-0.1409541219472885,
0.32257840037345886,
0.01876099780201912,
-0.21630428731441498,
-0.32459139823913574,
-0.27572473883628845,
0.347724050283432,
0.19238898158073425,
-0.5803960561752319,
-0.21442314982414246,
-0.04890046268701553,
0.24803197383880615,
-0.05125873163342476,
-0.04649535194039345,
0.5745421648025513,
0.01972527615725994,
-0.17946361005306244,
-0.16727842390537262,
-0.33184051513671875,
0.35973140597343445,
0.41926297545433044,
0.2494877278804779,
-0.011159147135913372,
0.17781507968902588,
0.20092034339904785,
0.6707466244697571,
0.20191961526870728,
-0.25905755162239075,
0.3317307233810425,
0.10723208636045456,
0.07499753683805466,
-0.2034970372915268,
-0.3130224943161011,
0.18576058745384216,
-0.18160304427146912,
0.019732147455215454,
0.2719840407371521,
0.006251134444028139,
-0.2801845371723175,
0.01774226687848568,
0.21881961822509766,
-0.2253446877002716,
-0.3280579447746277,
0.2597459852695465,
-0.34242793917655945,
0.24094845354557037,
0.03637058660387993,
0.31580042839050293,
-0.5820142030715942,
-0.24272412061691284,
0.19462814927101135,
-0.33594635128974915,
0.2798454165458679,
0.04449770972132683,
-0.5836008787155151,
0.12147048860788345,
-0.538021981716156,
0.18194131553173065,
0.3146284818649292,
0.2724076807498932,
-0.09202561527490616,
-0.2465258091688156,
0.04334738850593567,
-0.14713139832019806,
0.5711411833763123,
0.040972813963890076,
0.4085797369480133,
0.1699264794588089,
-0.1302468627691269,
-0.1994732767343521,
-0.2247127890586853,
0.017234763130545616,
0.2801370620727539,
0.32649919390678406,
0.40084776282310486,
-0.3452445864677429,
-0.36327362060546875,
-0.26576584577560425,
0.007364223711192608,
-0.04618128761649132,
0.007107758894562721,
-0.12583346664905548,
0.18938525021076202,
0.01648680679500103,
0.17434526979923248,
-0.01498047262430191,
0.1183028295636177,
0.016039855778217316,
-0.13654641807079315,
-0.03913364186882973,
-0.21942690014839172,
0.1282409280538559,
0.2264377325773239,
0.4735944867134094,
0.15032504498958588,
0.03246142715215683,
0.033214494585990906,
0.21515744924545288,
-0.5671088099479675,
0.26595762372016907,
-0.08884964138269424,
-0.004131742753088474,
0.07464420050382614,
0.14443816244602203,
-0.03030155971646309,
0.3378978669643402,
-0.04252500832080841,
0.14571364223957062,
-0.12862949073314667,
0.008956843055784702,
-0.5539686679840088,
0.4854544401168823,
0.3874591886997223,
0.13246646523475647,
-0.04488928243517876,
-0.24685749411582947,
0.17346294224262238,
0.07412006705999374,
-0.2765309810638428,
0.1322597712278366,
-0.4306926131248474,
-0.43199479579925537,
0.1857973337173462,
0.20948611199855804,
0.9232466816902161,
0.332022100687027,
0.3719581067562103,
0.1007041484117508,
0.10358098894357681,
0.2642512321472168,
-0.23411183059215546,
0.40925082564353943,
-0.3693642020225525,
-0.0463179275393486,
0.024538656696677208,
-0.16673317551612854,
-0.22738394141197205,
-0.010426265187561512,
-0.01099333819001913,
0.30259495973587036,
0.32405051589012146,
0.5999365448951721,
-0.11211955547332764,
0.16669917106628418,
0.21569165587425232,
-0.15811017155647278,
-0.2492315024137497,
0.2010732889175415,
-0.29230374097824097,
0.3152405023574829,
-0.11240831762552261,
-0.07410863041877747,
-0.01650959439575672,
-0.35134196281433105,
0.06714027374982834,
0.06094216927886009,
-0.3365170657634735,
0.3048412501811981,
0.13346198201179504,
-0.27266666293144226,
-0.2969881594181061,
0.2550773024559021,
0.11198677867650986,
0.08252744376659393,
-0.048600129783153534,
-0.03518514335155487,
0.40064483880996704,
0.3504585027694702,
-0.006891036406159401,
-0.20158861577510834,
0.1864127367734909,
0.06387528032064438,
-0.012894121930003166,
0.03024262934923172,
-0.05640564113855362,
-0.3015829622745514,
-0.25251179933547974,
0.14820435643196106,
0.003372181672602892,
-0.41296184062957764,
-0.05531826987862587,
0.061445046216249466,
-0.066788449883461,
-0.09413714706897736,
0.15088026225566864,
-0.026068205013871193,
-0.10794040560722351,
0.3151542544364929,
0.1173383817076683,
-0.24304209649562836,
0.05235802382230759,
0.47483208775520325,
-0.040397144854068756,
0.03181783854961395,
0.41542795300483704,
-0.15281881392002106,
-0.10380645841360092,
-0.2553911507129669,
-0.28417274355888367,
-0.10205967724323273,
-0.44884082674980164,
0.11220790445804596,
-0.2194061428308487,
-0.4019114077091217,
0.0442325733602047,
0.280818372964859,
0.014706877060234547,
0.31849586963653564,
-0.011618148535490036,
-0.12495850026607513,
-0.37697234749794006,
-0.10379048436880112,
-0.1065821498632431,
0.2671777307987213,
0.2795186936855316,
0.2843484878540039,
-0.29586702585220337,
0.2492261826992035,
-0.38310956954956055,
-0.1071421355009079,
-0.18716979026794434,
0.4379133880138397,
-0.03913804888725281,
-0.3655827045440674,
-0.009147044271230698,
0.00185489805880934,
0.12997117638587952,
0.17754493653774261,
-0.6386589407920837,
-0.2926190495491028,
-0.09099180996417999,
0.08186071366071701,
-0.007587700616568327,
-0.159822016954422,
-0.23928211629390717,
-0.017213808372616768,
0.18238461017608643,
-0.42740321159362793,
0.09215689450502396,
0.15121674537658691,
0.047031741589307785,
0.23718656599521637,
-0.16102980077266693,
0.12145575135946274,
0.2881677746772766,
-0.18652726709842682,
-0.18414875864982605,
-0.07622820883989334,
0.08048128336668015,
0.2570165991783142,
-0.069468192756176,
0.02047928236424923,
-0.21040309965610504,
0.03047284670174122,
0.08927395939826965,
0.1427948772907257,
0.23692886531352997,
-0.024752512574195862,
-0.2156609743833542,
0.0005510254995897412,
0.1827995628118515,
0.11411970853805542,
-0.07855338603258133,
-0.32897529006004333,
0.2802230417728424,
0.27836501598358154,
-0.11751806735992432,
-0.010236726142466068,
0.16770757734775543,
-0.09938807040452957,
0.2528513967990875,
0.2071538120508194,
0.10758750885725021,
0.052611079066991806,
0.26961180567741394,
0.12649419903755188,
0.40504035353660583,
-0.34832870960235596,
0.08942142128944397,
0.06441634148359299,
0.10164941847324371,
0.0377780981361866,
0.3812146782875061,
-0.15324392914772034,
0.08992191404104233,
0.14838334918022156,
0.18833690881729126,
0.20253953337669373,
0.2628898620605469,
0.21354152262210846,
-0.1878644973039627,
-0.03412109240889549,
-0.24108682572841644,
0.14363647997379303,
-0.14272600412368774,
0.4156598746776581,
0.15059241652488708,
0.19285538792610168,
-0.11485260725021362,
-0.4619389772415161,
-0.24626794457435608,
0.23536370694637299,
-0.3245418071746826,
-0.30920886993408203,
-0.04867832362651825,
-0.08018530905246735,
0.05592920631170273,
0.1945614516735077,
-0.07929019629955292,
0.20385901629924774,
0.34283849596977234,
-0.008660116232931614,
-0.013750203885138035,
-0.08435358107089996,
-0.17061741650104523,
0.11397870630025864,
0.27486518025398254,
-0.08173874765634537,
0.44693678617477417,
0.01080083753913641,
-0.05156949535012245,
-0.2344711422920227,
0.41141751408576965,
0.28612861037254333,
0.1949474811553955,
-0.168862447142601,
0.06395307183265686,
0.20064708590507507,
0.0306134894490242,
-0.3546890914440155,
0.3286518454551697,
0.1511448621749878,
-0.2930276095867157,
0.36800575256347656,
0.12379536032676697,
-0.23215578496456146,
0.2764037549495697,
-0.10419601202011108,
-0.20146721601486206,
-0.04988892748951912,
0.3224368989467621,
0.0997074767947197,
-0.0399320125579834,
-0.19496309757232666,
0.11112021654844284,
-0.14457158744335175,
-0.28533950448036194,
0.15934592485427856,
-0.02389831282198429,
0.46766093373298645,
-0.275675505399704,
0.11720515042543411,
-0.06182502955198288,
0.6220859885215759,
-0.02922753430902958,
0.12432888895273209,
-0.350137859582901,
0.10264351218938828,
-0.33316680788993835,
0.1984093189239502,
-0.08381783962249756,
0.15374279022216797,
-0.3975840210914612,
0.20426496863365173,
-0.11549855023622513,
-0.023466093465685844,
-0.11804244667291641,
-0.00788638461381197,
0.14740723371505737,
0.17893213033676147,
-0.3869176506996155,
0.1554814726114273,
-0.0862593725323677,
-0.00626726308837533,
0.2917737364768982,
-0.37667545676231384,
0.22199058532714844,
0.04247966781258583,
0.20691059529781342,
0.010986385866999626,
-0.02172369882464409,
-0.054806627333164215,
0.33657434582710266,
0.6232408285140991,
0.34702974557876587,
0.14255116879940033,
-0.10102774947881699,
0.08155330270528793,
-0.34743764996528625,
0.014104106463491917,
-0.06088816747069359,
-0.20964983105659485,
0.09756835550069809,
0.5258304476737976,
-0.22562745213508606,
0.13194629549980164,
-0.17804564535617828,
0.2366943657398224,
0.38227659463882446,
-0.15272878110408783,
0.06179971620440483,
0.048225898295640945,
-0.25984057784080505,
-0.005199328530579805,
-0.12586632370948792,
0.45379582047462463,
0.007182890549302101,
0.32383018732070923,
-0.3592907786369324,
-0.5417624711990356,
0.4329099953174591,
-0.4511263966560364,
-0.3025250732898712,
0.12327846884727478,
0.23878563940525055,
0.34956884384155273,
-0.06000060588121414,
-0.5436676144599915,
-0.1724908947944641,
0.26911357045173645,
-0.030661094933748245,
-0.15704523026943207,
0.20768482983112335,
-0.1486440747976303,
-0.04107564687728882,
-0.11675458401441574,
0.17646899819374084,
0.10152711719274521,
-0.29141318798065186,
0.2436991184949875,
-0.37010371685028076
] |
https://github.com/huggingface/datasets/issues/160 | caching in map causes same result to be returned for train, validation and test | > Ok, I think @lhoestq has already found a solution :-) Maybe you can chime in @lhoestq
Oh, awesome! I see the PR, Ill check it out | hello,
I am working on a program that uses the `nlp` library with the `SST2` dataset.
The rough outline of the program is:
```
import nlp as nlp_datasets
...
parser.add_argument('--dataset', help='HuggingFace Datasets id', default=['glue', 'sst2'], nargs='+')
...
dataset = nlp_datasets.load_dataset(*args.dataset)
...
# Create feature vocabs
vocabs = create_vocabs(dataset.values(), vectorizers)
...
# Create a function to vectorize based on vectorizers and vocabs:
print('TS', train_set.num_rows)
print('VS', valid_set.num_rows)
print('ES', test_set.num_rows)
# factory method to create a `convert_to_features` function based on vocabs
convert_to_features = create_featurizer(vectorizers, vocabs)
train_set = train_set.map(convert_to_features, batched=True)
train_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
train_loader = torch.utils.data.DataLoader(train_set, batch_size=args.batchsz)
valid_set = valid_set.map(convert_to_features, batched=True)
valid_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
valid_loader = torch.utils.data.DataLoader(valid_set, batch_size=args.batchsz)
test_set = test_set.map(convert_to_features, batched=True)
test_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
test_loader = torch.utils.data.DataLoader(test_set, batch_size=args.batchsz)
print('TS', train_set.num_rows)
print('VS', valid_set.num_rows)
print('ES', test_set.num_rows)
```
Im not sure if Im using it incorrectly, but the results are not what I expect. Namely, the `.map()` seems to grab the datset from the cache and then loses track of what the specific dataset is, instead using my training data for all datasets:
```
TS 67349
VS 872
ES 1821
TS 67349
VS 67349
ES 67349
```
The behavior changes if I turn off the caching but then the results fail:
```
train_set = train_set.map(convert_to_features, batched=True, load_from_cache_file=False)
...
valid_set = valid_set.map(convert_to_features, batched=True, load_from_cache_file=False)
...
test_set = test_set.map(convert_to_features, batched=True, load_from_cache_file=False)
```
Now I get the right set of features back...
```
TS 67349
VS 872
ES 1821
100%|██████████| 68/68 [00:00<00:00, 92.78it/s]
100%|██████████| 1/1 [00:00<00:00, 75.47it/s]
0%| | 0/2 [00:00<?, ?it/s]TS 67349
VS 872
ES 1821
100%|██████████| 2/2 [00:00<00:00, 77.19it/s]
```
but I think its losing track of the original training set:
```
Traceback (most recent call last):
File "/home/dpressel/dev/work/baseline/api-examples/layers-classify-hf-datasets.py", line 148, in <module>
for x in train_loader:
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 345, in __next__
data = self._next_data()
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 385, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp>
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/nlp/arrow_dataset.py", line 338, in __getitem__
output_all_columns=self._output_all_columns,
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/nlp/arrow_dataset.py", line 294, in _getitem
outputs = self._unnest(self._data.slice(key, 1).to_pydict())
File "pyarrow/table.pxi", line 1211, in pyarrow.lib.Table.slice
File "pyarrow/public-api.pxi", line 390, in pyarrow.lib.pyarrow_wrap_table
File "pyarrow/error.pxi", line 85, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Column 3: In chunk 0: Invalid: Length spanned by list offsets (15859698) larger than values array (length 100000)
Process finished with exit code 1
```
The full-example program (minus the print stmts) is here:
https://github.com/dpressel/mead-baseline/pull/620/files
| 27 | caching in map causes same result to be returned for train, validation and test
hello,
I am working on a program that uses the `nlp` library with the `SST2` dataset.
The rough outline of the program is:
```
import nlp as nlp_datasets
...
parser.add_argument('--dataset', help='HuggingFace Datasets id', default=['glue', 'sst2'], nargs='+')
...
dataset = nlp_datasets.load_dataset(*args.dataset)
...
# Create feature vocabs
vocabs = create_vocabs(dataset.values(), vectorizers)
...
# Create a function to vectorize based on vectorizers and vocabs:
print('TS', train_set.num_rows)
print('VS', valid_set.num_rows)
print('ES', test_set.num_rows)
# factory method to create a `convert_to_features` function based on vocabs
convert_to_features = create_featurizer(vectorizers, vocabs)
train_set = train_set.map(convert_to_features, batched=True)
train_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
train_loader = torch.utils.data.DataLoader(train_set, batch_size=args.batchsz)
valid_set = valid_set.map(convert_to_features, batched=True)
valid_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
valid_loader = torch.utils.data.DataLoader(valid_set, batch_size=args.batchsz)
test_set = test_set.map(convert_to_features, batched=True)
test_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
test_loader = torch.utils.data.DataLoader(test_set, batch_size=args.batchsz)
print('TS', train_set.num_rows)
print('VS', valid_set.num_rows)
print('ES', test_set.num_rows)
```
Im not sure if Im using it incorrectly, but the results are not what I expect. Namely, the `.map()` seems to grab the datset from the cache and then loses track of what the specific dataset is, instead using my training data for all datasets:
```
TS 67349
VS 872
ES 1821
TS 67349
VS 67349
ES 67349
```
The behavior changes if I turn off the caching but then the results fail:
```
train_set = train_set.map(convert_to_features, batched=True, load_from_cache_file=False)
...
valid_set = valid_set.map(convert_to_features, batched=True, load_from_cache_file=False)
...
test_set = test_set.map(convert_to_features, batched=True, load_from_cache_file=False)
```
Now I get the right set of features back...
```
TS 67349
VS 872
ES 1821
100%|██████████| 68/68 [00:00<00:00, 92.78it/s]
100%|██████████| 1/1 [00:00<00:00, 75.47it/s]
0%| | 0/2 [00:00<?, ?it/s]TS 67349
VS 872
ES 1821
100%|██████████| 2/2 [00:00<00:00, 77.19it/s]
```
but I think its losing track of the original training set:
```
Traceback (most recent call last):
File "/home/dpressel/dev/work/baseline/api-examples/layers-classify-hf-datasets.py", line 148, in <module>
for x in train_loader:
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 345, in __next__
data = self._next_data()
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 385, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp>
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/nlp/arrow_dataset.py", line 338, in __getitem__
output_all_columns=self._output_all_columns,
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/nlp/arrow_dataset.py", line 294, in _getitem
outputs = self._unnest(self._data.slice(key, 1).to_pydict())
File "pyarrow/table.pxi", line 1211, in pyarrow.lib.Table.slice
File "pyarrow/public-api.pxi", line 390, in pyarrow.lib.pyarrow_wrap_table
File "pyarrow/error.pxi", line 85, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Column 3: In chunk 0: Invalid: Length spanned by list offsets (15859698) larger than values array (length 100000)
Process finished with exit code 1
```
The full-example program (minus the print stmts) is here:
https://github.com/dpressel/mead-baseline/pull/620/files
> Ok, I think @lhoestq has already found a solution :-) Maybe you can chime in @lhoestq
Oh, awesome! I see the PR, Ill check it out | [
-0.12632250785827637,
-0.22070901095867157,
-0.10063198953866959,
0.27801084518432617,
0.24547572433948517,
-0.20522341132164001,
0.137210875749588,
0.5128593444824219,
0.18828663229942322,
-0.06233531981706619,
0.12781980633735657,
0.38913458585739136,
0.003776297438889742,
-0.1606176495552063,
-0.010743561200797558,
0.024212030693888664,
0.09608013927936554,
0.23505231738090515,
-0.14556236565113068,
-0.1648235321044922,
0.08189409971237183,
0.2129841297864914,
-0.042409978806972504,
0.11652691662311554,
-0.39034950733184814,
0.041289906948804855,
0.21235668659210205,
-0.2308902144432068,
0.06845776736736298,
-0.25706538558006287,
0.1678507924079895,
-0.09324328601360321,
0.02583368308842182,
0.16631756722927094,
-0.00010973814642056823,
0.0067980014719069,
-0.01538778841495514,
-0.13856948912143707,
-0.007274831645190716,
0.04019518941640854,
0.11813383549451828,
-0.21172897517681122,
-0.10918274521827698,
-0.3121316730976105,
-0.3320115804672241,
-0.03766085207462311,
0.01780932955443859,
-0.35565948486328125,
0.31285759806632996,
0.14745205640792847,
0.26071032881736755,
0.22490893304347992,
-0.2538125216960907,
0.21113626658916473,
0.14512759447097778,
-0.029327336698770523,
-0.17419742047786713,
-0.04230547323822975,
-0.04397892951965332,
-0.33446553349494934,
-0.37676504254341125,
0.5254571437835693,
-0.07658161967992783,
0.17014139890670776,
0.21466633677482605,
0.22505579888820648,
0.17260590195655823,
0.035937704145908356,
0.1429363638162613,
-0.11396253854036331,
0.011094827204942703,
-0.22691738605499268,
-0.027116434648633003,
-0.3733721077442169,
-0.4186401665210724,
-0.07852599024772644,
0.13762502372264862,
0.18104472756385803,
-0.1363932490348816,
-0.06371653825044632,
-0.43193766474723816,
0.2392898052930832,
0.0652494877576828,
-0.012788408435881138,
0.11952681839466095,
0.29516080021858215,
0.04380622133612633,
0.19522294402122498,
0.12944649159908295,
-0.06973281502723694,
-0.022558962926268578,
-0.21451696753501892,
-0.05897140875458717,
0.22640138864517212,
-0.4359849691390991,
0.07208239287137985,
0.4315200448036194,
-0.1404140740633011,
-0.053242750465869904,
0.03063775785267353,
0.3919311761856079,
0.07921352982521057,
0.11681784689426422,
-0.008491764776408672,
-0.10416068881750107,
0.5898676514625549,
0.04432177543640137,
0.17118391394615173,
-0.014969921670854092,
-0.19827847182750702,
-0.3560168445110321,
0.004987859632819891,
0.2880178987979889,
-0.28660091757774353,
0.42841145396232605,
0.40236055850982666,
-0.04226037487387657,
-0.12152973562479019,
-0.030102189630270004,
0.09402408450841904,
-0.33085379004478455,
0.05566990002989769,
0.058729998767375946,
0.31395798921585083,
-0.22545045614242554,
0.14926567673683167,
-0.17376750707626343,
-0.10335483402013779,
-0.3849693238735199,
0.12735125422477722,
-0.33784618973731995,
-0.033323898911476135,
-0.4962189197540283,
0.0015165578806772828,
0.28538474440574646,
-0.002859933767467737,
0.28535225987434387,
-0.038445454090833664,
-0.13722018897533417,
-0.3019891679286957,
0.10317365825176239,
-0.39851170778274536,
0.5702314376831055,
-0.1072295531630516,
-0.19701702892780304,
0.24102117121219635,
0.13037829101085663,
0.08526421338319778,
-0.29768794775009155,
-0.19837751984596252,
-0.1698075532913208,
-0.20906901359558105,
0.2598607540130615,
0.24224542081356049,
-0.07942765206098557,
0.14139588177204132,
0.09248226881027222,
0.0776788741350174,
0.3432585299015045,
-0.232854962348938,
0.10284040868282318,
-0.20148923993110657,
-0.28198012709617615,
-0.2043590545654297,
0.16256873309612274,
0.2623099982738495,
0.06677649915218353,
-0.13737238943576813,
0.4017971158027649,
0.2371826320886612,
0.14729078114032745,
0.4138067364692688,
-0.1965339034795761,
0.30949410796165466,
-0.43349170684814453,
0.3486190438270569,
0.506476879119873,
-0.32673147320747375,
-0.49634483456611633,
0.09944828599691391,
-0.15631580352783203,
0.1002880334854126,
0.10244903713464737,
0.15137287974357605,
0.029087670147418976,
0.014419378712773323,
0.1285371035337448,
0.018702296540141106,
-0.0005146907060407102,
0.208420529961586,
-0.31692788004875183,
-0.021933916956186295,
0.5500646233558655,
-0.2524673640727997,
0.02847237139940262,
-0.13123734295368195,
-0.05504271760582924,
0.021933000534772873,
0.006768169347196817,
-0.11219003051519394,
0.12185932695865631,
0.11460470408201218,
-0.056878868490457535,
-0.1581844687461853,
-0.10643851011991501,
-0.024692509323358536,
-0.28826257586479187,
0.23830120265483856,
-0.14981895685195923,
-0.0999680832028389,
0.06172538921236992,
-0.09704917669296265,
-0.16200260818004608,
-0.12927502393722534,
-0.18091638386249542,
-0.27306458353996277,
0.20130178332328796,
0.23052407801151276,
0.3202398419380188,
-0.07290733605623245,
0.2252090722322464,
0.3680817782878876,
0.048363614827394485,
-0.21607212722301483,
-0.4300347566604614,
0.08568026125431061,
-0.17773471772670746,
-0.2188279777765274,
-0.0748467668890953,
0.22306986153125763,
0.2090262770652771,
-0.04792642965912819,
-0.14242812991142273,
0.14827579259872437,
-0.2220856100320816,
0.4189179241657257,
-0.13702799379825592,
0.269452840089798,
-0.06965683400630951,
0.029306238517165184,
0.016667358577251434,
0.25400519371032715,
0.05881987884640694,
-0.08980134129524231,
-0.07270598411560059,
0.47423407435417175,
0.18140216171741486,
0.17011605203151703,
-0.048070792108774185,
-0.21626794338226318,
0.051984209567308426,
-0.17831753194332123,
-0.12091574817895889,
-0.11881643533706665,
0.13640747964382172,
-0.08057200163602829,
0.1488880068063736,
0.15232868492603302,
-0.10698743164539337,
0.3120083510875702,
0.7600833773612976,
0.19691871106624603,
-0.011016919277608395,
0.015740947797894478,
-0.057213034480810165,
-0.21779173612594604,
0.3338564336299896,
-0.05868269130587578,
0.31038790941238403,
0.10473166406154633,
0.12716487050056458,
-0.04620952904224396,
-0.21965020895004272,
-0.15443570911884308,
0.12464798986911774,
-0.21436883509159088,
-0.1919763833284378,
0.308034211397171,
0.28208687901496887,
-0.15836724638938904,
-0.35378316044807434,
0.0940157026052475,
-0.01276430580765009,
0.026191623881459236,
-0.15800140798091888,
0.21723663806915283,
-0.1665293276309967,
-0.2780851721763611,
-0.28641536831855774,
0.13615694642066956,
-0.12220374494791031,
-0.0921654924750328,
-0.04126313701272011,
0.42542964220046997,
-0.036654673516750336,
0.19515161216259003,
-0.3149721920490265,
0.08951952308416367,
0.226604163646698,
-0.2663276791572571,
-0.07168538868427277,
-0.1902879923582077,
-0.39492008090019226,
0.04223187640309334,
-0.09523041546344757,
-0.0929960310459137,
0.3783297538757324,
-0.04731621965765953,
-0.06796029210090637,
-0.2881457805633545,
-0.1725403368473053,
0.10717813670635223,
-0.09261170029640198,
-0.15536807477474213,
0.16724860668182373,
-0.03133843466639519,
-0.10115880519151688,
-0.2987455725669861,
0.29379722476005554,
-0.3053131401538849,
-0.29914355278015137,
-0.05198654159903526,
0.09890630096197128,
0.03010939620435238,
-0.28034764528274536,
-0.42862412333488464,
0.27357834577560425,
-0.31724390387535095,
0.07546782493591309,
-0.14892923831939697,
0.18622653186321259,
0.33093470335006714,
0.008953339420258999,
-0.014561006799340248,
-0.06404032558202744,
0.16439402103424072,
-0.46741002798080444,
-0.1409541219472885,
0.32257840037345886,
0.01876099780201912,
-0.21630428731441498,
-0.32459139823913574,
-0.27572473883628845,
0.347724050283432,
0.19238898158073425,
-0.5803960561752319,
-0.21442314982414246,
-0.04890046268701553,
0.24803197383880615,
-0.05125873163342476,
-0.04649535194039345,
0.5745421648025513,
0.01972527615725994,
-0.17946361005306244,
-0.16727842390537262,
-0.33184051513671875,
0.35973140597343445,
0.41926297545433044,
0.2494877278804779,
-0.011159147135913372,
0.17781507968902588,
0.20092034339904785,
0.6707466244697571,
0.20191961526870728,
-0.25905755162239075,
0.3317307233810425,
0.10723208636045456,
0.07499753683805466,
-0.2034970372915268,
-0.3130224943161011,
0.18576058745384216,
-0.18160304427146912,
0.019732147455215454,
0.2719840407371521,
0.006251134444028139,
-0.2801845371723175,
0.01774226687848568,
0.21881961822509766,
-0.2253446877002716,
-0.3280579447746277,
0.2597459852695465,
-0.34242793917655945,
0.24094845354557037,
0.03637058660387993,
0.31580042839050293,
-0.5820142030715942,
-0.24272412061691284,
0.19462814927101135,
-0.33594635128974915,
0.2798454165458679,
0.04449770972132683,
-0.5836008787155151,
0.12147048860788345,
-0.538021981716156,
0.18194131553173065,
0.3146284818649292,
0.2724076807498932,
-0.09202561527490616,
-0.2465258091688156,
0.04334738850593567,
-0.14713139832019806,
0.5711411833763123,
0.040972813963890076,
0.4085797369480133,
0.1699264794588089,
-0.1302468627691269,
-0.1994732767343521,
-0.2247127890586853,
0.017234763130545616,
0.2801370620727539,
0.32649919390678406,
0.40084776282310486,
-0.3452445864677429,
-0.36327362060546875,
-0.26576584577560425,
0.007364223711192608,
-0.04618128761649132,
0.007107758894562721,
-0.12583346664905548,
0.18938525021076202,
0.01648680679500103,
0.17434526979923248,
-0.01498047262430191,
0.1183028295636177,
0.016039855778217316,
-0.13654641807079315,
-0.03913364186882973,
-0.21942690014839172,
0.1282409280538559,
0.2264377325773239,
0.4735944867134094,
0.15032504498958588,
0.03246142715215683,
0.033214494585990906,
0.21515744924545288,
-0.5671088099479675,
0.26595762372016907,
-0.08884964138269424,
-0.004131742753088474,
0.07464420050382614,
0.14443816244602203,
-0.03030155971646309,
0.3378978669643402,
-0.04252500832080841,
0.14571364223957062,
-0.12862949073314667,
0.008956843055784702,
-0.5539686679840088,
0.4854544401168823,
0.3874591886997223,
0.13246646523475647,
-0.04488928243517876,
-0.24685749411582947,
0.17346294224262238,
0.07412006705999374,
-0.2765309810638428,
0.1322597712278366,
-0.4306926131248474,
-0.43199479579925537,
0.1857973337173462,
0.20948611199855804,
0.9232466816902161,
0.332022100687027,
0.3719581067562103,
0.1007041484117508,
0.10358098894357681,
0.2642512321472168,
-0.23411183059215546,
0.40925082564353943,
-0.3693642020225525,
-0.0463179275393486,
0.024538656696677208,
-0.16673317551612854,
-0.22738394141197205,
-0.010426265187561512,
-0.01099333819001913,
0.30259495973587036,
0.32405051589012146,
0.5999365448951721,
-0.11211955547332764,
0.16669917106628418,
0.21569165587425232,
-0.15811017155647278,
-0.2492315024137497,
0.2010732889175415,
-0.29230374097824097,
0.3152405023574829,
-0.11240831762552261,
-0.07410863041877747,
-0.01650959439575672,
-0.35134196281433105,
0.06714027374982834,
0.06094216927886009,
-0.3365170657634735,
0.3048412501811981,
0.13346198201179504,
-0.27266666293144226,
-0.2969881594181061,
0.2550773024559021,
0.11198677867650986,
0.08252744376659393,
-0.048600129783153534,
-0.03518514335155487,
0.40064483880996704,
0.3504585027694702,
-0.006891036406159401,
-0.20158861577510834,
0.1864127367734909,
0.06387528032064438,
-0.012894121930003166,
0.03024262934923172,
-0.05640564113855362,
-0.3015829622745514,
-0.25251179933547974,
0.14820435643196106,
0.003372181672602892,
-0.41296184062957764,
-0.05531826987862587,
0.061445046216249466,
-0.066788449883461,
-0.09413714706897736,
0.15088026225566864,
-0.026068205013871193,
-0.10794040560722351,
0.3151542544364929,
0.1173383817076683,
-0.24304209649562836,
0.05235802382230759,
0.47483208775520325,
-0.040397144854068756,
0.03181783854961395,
0.41542795300483704,
-0.15281881392002106,
-0.10380645841360092,
-0.2553911507129669,
-0.28417274355888367,
-0.10205967724323273,
-0.44884082674980164,
0.11220790445804596,
-0.2194061428308487,
-0.4019114077091217,
0.0442325733602047,
0.280818372964859,
0.014706877060234547,
0.31849586963653564,
-0.011618148535490036,
-0.12495850026607513,
-0.37697234749794006,
-0.10379048436880112,
-0.1065821498632431,
0.2671777307987213,
0.2795186936855316,
0.2843484878540039,
-0.29586702585220337,
0.2492261826992035,
-0.38310956954956055,
-0.1071421355009079,
-0.18716979026794434,
0.4379133880138397,
-0.03913804888725281,
-0.3655827045440674,
-0.009147044271230698,
0.00185489805880934,
0.12997117638587952,
0.17754493653774261,
-0.6386589407920837,
-0.2926190495491028,
-0.09099180996417999,
0.08186071366071701,
-0.007587700616568327,
-0.159822016954422,
-0.23928211629390717,
-0.017213808372616768,
0.18238461017608643,
-0.42740321159362793,
0.09215689450502396,
0.15121674537658691,
0.047031741589307785,
0.23718656599521637,
-0.16102980077266693,
0.12145575135946274,
0.2881677746772766,
-0.18652726709842682,
-0.18414875864982605,
-0.07622820883989334,
0.08048128336668015,
0.2570165991783142,
-0.069468192756176,
0.02047928236424923,
-0.21040309965610504,
0.03047284670174122,
0.08927395939826965,
0.1427948772907257,
0.23692886531352997,
-0.024752512574195862,
-0.2156609743833542,
0.0005510254995897412,
0.1827995628118515,
0.11411970853805542,
-0.07855338603258133,
-0.32897529006004333,
0.2802230417728424,
0.27836501598358154,
-0.11751806735992432,
-0.010236726142466068,
0.16770757734775543,
-0.09938807040452957,
0.2528513967990875,
0.2071538120508194,
0.10758750885725021,
0.052611079066991806,
0.26961180567741394,
0.12649419903755188,
0.40504035353660583,
-0.34832870960235596,
0.08942142128944397,
0.06441634148359299,
0.10164941847324371,
0.0377780981361866,
0.3812146782875061,
-0.15324392914772034,
0.08992191404104233,
0.14838334918022156,
0.18833690881729126,
0.20253953337669373,
0.2628898620605469,
0.21354152262210846,
-0.1878644973039627,
-0.03412109240889549,
-0.24108682572841644,
0.14363647997379303,
-0.14272600412368774,
0.4156598746776581,
0.15059241652488708,
0.19285538792610168,
-0.11485260725021362,
-0.4619389772415161,
-0.24626794457435608,
0.23536370694637299,
-0.3245418071746826,
-0.30920886993408203,
-0.04867832362651825,
-0.08018530905246735,
0.05592920631170273,
0.1945614516735077,
-0.07929019629955292,
0.20385901629924774,
0.34283849596977234,
-0.008660116232931614,
-0.013750203885138035,
-0.08435358107089996,
-0.17061741650104523,
0.11397870630025864,
0.27486518025398254,
-0.08173874765634537,
0.44693678617477417,
0.01080083753913641,
-0.05156949535012245,
-0.2344711422920227,
0.41141751408576965,
0.28612861037254333,
0.1949474811553955,
-0.168862447142601,
0.06395307183265686,
0.20064708590507507,
0.0306134894490242,
-0.3546890914440155,
0.3286518454551697,
0.1511448621749878,
-0.2930276095867157,
0.36800575256347656,
0.12379536032676697,
-0.23215578496456146,
0.2764037549495697,
-0.10419601202011108,
-0.20146721601486206,
-0.04988892748951912,
0.3224368989467621,
0.0997074767947197,
-0.0399320125579834,
-0.19496309757232666,
0.11112021654844284,
-0.14457158744335175,
-0.28533950448036194,
0.15934592485427856,
-0.02389831282198429,
0.46766093373298645,
-0.275675505399704,
0.11720515042543411,
-0.06182502955198288,
0.6220859885215759,
-0.02922753430902958,
0.12432888895273209,
-0.350137859582901,
0.10264351218938828,
-0.33316680788993835,
0.1984093189239502,
-0.08381783962249756,
0.15374279022216797,
-0.3975840210914612,
0.20426496863365173,
-0.11549855023622513,
-0.023466093465685844,
-0.11804244667291641,
-0.00788638461381197,
0.14740723371505737,
0.17893213033676147,
-0.3869176506996155,
0.1554814726114273,
-0.0862593725323677,
-0.00626726308837533,
0.2917737364768982,
-0.37667545676231384,
0.22199058532714844,
0.04247966781258583,
0.20691059529781342,
0.010986385866999626,
-0.02172369882464409,
-0.054806627333164215,
0.33657434582710266,
0.6232408285140991,
0.34702974557876587,
0.14255116879940033,
-0.10102774947881699,
0.08155330270528793,
-0.34743764996528625,
0.014104106463491917,
-0.06088816747069359,
-0.20964983105659485,
0.09756835550069809,
0.5258304476737976,
-0.22562745213508606,
0.13194629549980164,
-0.17804564535617828,
0.2366943657398224,
0.38227659463882446,
-0.15272878110408783,
0.06179971620440483,
0.048225898295640945,
-0.25984057784080505,
-0.005199328530579805,
-0.12586632370948792,
0.45379582047462463,
0.007182890549302101,
0.32383018732070923,
-0.3592907786369324,
-0.5417624711990356,
0.4329099953174591,
-0.4511263966560364,
-0.3025250732898712,
0.12327846884727478,
0.23878563940525055,
0.34956884384155273,
-0.06000060588121414,
-0.5436676144599915,
-0.1724908947944641,
0.26911357045173645,
-0.030661094933748245,
-0.15704523026943207,
0.20768482983112335,
-0.1486440747976303,
-0.04107564687728882,
-0.11675458401441574,
0.17646899819374084,
0.10152711719274521,
-0.29141318798065186,
0.2436991184949875,
-0.37010371685028076
] |
https://github.com/huggingface/datasets/issues/160 | caching in map causes same result to be returned for train, validation and test | The PR should prevent the cache from losing track of the of the dataset type (based on the location of its data). Not sure about your second problem though (cache off). | hello,
I am working on a program that uses the `nlp` library with the `SST2` dataset.
The rough outline of the program is:
```
import nlp as nlp_datasets
...
parser.add_argument('--dataset', help='HuggingFace Datasets id', default=['glue', 'sst2'], nargs='+')
...
dataset = nlp_datasets.load_dataset(*args.dataset)
...
# Create feature vocabs
vocabs = create_vocabs(dataset.values(), vectorizers)
...
# Create a function to vectorize based on vectorizers and vocabs:
print('TS', train_set.num_rows)
print('VS', valid_set.num_rows)
print('ES', test_set.num_rows)
# factory method to create a `convert_to_features` function based on vocabs
convert_to_features = create_featurizer(vectorizers, vocabs)
train_set = train_set.map(convert_to_features, batched=True)
train_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
train_loader = torch.utils.data.DataLoader(train_set, batch_size=args.batchsz)
valid_set = valid_set.map(convert_to_features, batched=True)
valid_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
valid_loader = torch.utils.data.DataLoader(valid_set, batch_size=args.batchsz)
test_set = test_set.map(convert_to_features, batched=True)
test_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
test_loader = torch.utils.data.DataLoader(test_set, batch_size=args.batchsz)
print('TS', train_set.num_rows)
print('VS', valid_set.num_rows)
print('ES', test_set.num_rows)
```
Im not sure if Im using it incorrectly, but the results are not what I expect. Namely, the `.map()` seems to grab the datset from the cache and then loses track of what the specific dataset is, instead using my training data for all datasets:
```
TS 67349
VS 872
ES 1821
TS 67349
VS 67349
ES 67349
```
The behavior changes if I turn off the caching but then the results fail:
```
train_set = train_set.map(convert_to_features, batched=True, load_from_cache_file=False)
...
valid_set = valid_set.map(convert_to_features, batched=True, load_from_cache_file=False)
...
test_set = test_set.map(convert_to_features, batched=True, load_from_cache_file=False)
```
Now I get the right set of features back...
```
TS 67349
VS 872
ES 1821
100%|██████████| 68/68 [00:00<00:00, 92.78it/s]
100%|██████████| 1/1 [00:00<00:00, 75.47it/s]
0%| | 0/2 [00:00<?, ?it/s]TS 67349
VS 872
ES 1821
100%|██████████| 2/2 [00:00<00:00, 77.19it/s]
```
but I think its losing track of the original training set:
```
Traceback (most recent call last):
File "/home/dpressel/dev/work/baseline/api-examples/layers-classify-hf-datasets.py", line 148, in <module>
for x in train_loader:
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 345, in __next__
data = self._next_data()
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 385, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp>
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/nlp/arrow_dataset.py", line 338, in __getitem__
output_all_columns=self._output_all_columns,
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/nlp/arrow_dataset.py", line 294, in _getitem
outputs = self._unnest(self._data.slice(key, 1).to_pydict())
File "pyarrow/table.pxi", line 1211, in pyarrow.lib.Table.slice
File "pyarrow/public-api.pxi", line 390, in pyarrow.lib.pyarrow_wrap_table
File "pyarrow/error.pxi", line 85, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Column 3: In chunk 0: Invalid: Length spanned by list offsets (15859698) larger than values array (length 100000)
Process finished with exit code 1
```
The full-example program (minus the print stmts) is here:
https://github.com/dpressel/mead-baseline/pull/620/files
| 31 | caching in map causes same result to be returned for train, validation and test
hello,
I am working on a program that uses the `nlp` library with the `SST2` dataset.
The rough outline of the program is:
```
import nlp as nlp_datasets
...
parser.add_argument('--dataset', help='HuggingFace Datasets id', default=['glue', 'sst2'], nargs='+')
...
dataset = nlp_datasets.load_dataset(*args.dataset)
...
# Create feature vocabs
vocabs = create_vocabs(dataset.values(), vectorizers)
...
# Create a function to vectorize based on vectorizers and vocabs:
print('TS', train_set.num_rows)
print('VS', valid_set.num_rows)
print('ES', test_set.num_rows)
# factory method to create a `convert_to_features` function based on vocabs
convert_to_features = create_featurizer(vectorizers, vocabs)
train_set = train_set.map(convert_to_features, batched=True)
train_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
train_loader = torch.utils.data.DataLoader(train_set, batch_size=args.batchsz)
valid_set = valid_set.map(convert_to_features, batched=True)
valid_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
valid_loader = torch.utils.data.DataLoader(valid_set, batch_size=args.batchsz)
test_set = test_set.map(convert_to_features, batched=True)
test_set.set_format(type='torch', columns=list(vectorizers.keys()) + ['y', 'lengths'])
test_loader = torch.utils.data.DataLoader(test_set, batch_size=args.batchsz)
print('TS', train_set.num_rows)
print('VS', valid_set.num_rows)
print('ES', test_set.num_rows)
```
Im not sure if Im using it incorrectly, but the results are not what I expect. Namely, the `.map()` seems to grab the datset from the cache and then loses track of what the specific dataset is, instead using my training data for all datasets:
```
TS 67349
VS 872
ES 1821
TS 67349
VS 67349
ES 67349
```
The behavior changes if I turn off the caching but then the results fail:
```
train_set = train_set.map(convert_to_features, batched=True, load_from_cache_file=False)
...
valid_set = valid_set.map(convert_to_features, batched=True, load_from_cache_file=False)
...
test_set = test_set.map(convert_to_features, batched=True, load_from_cache_file=False)
```
Now I get the right set of features back...
```
TS 67349
VS 872
ES 1821
100%|██████████| 68/68 [00:00<00:00, 92.78it/s]
100%|██████████| 1/1 [00:00<00:00, 75.47it/s]
0%| | 0/2 [00:00<?, ?it/s]TS 67349
VS 872
ES 1821
100%|██████████| 2/2 [00:00<00:00, 77.19it/s]
```
but I think its losing track of the original training set:
```
Traceback (most recent call last):
File "/home/dpressel/dev/work/baseline/api-examples/layers-classify-hf-datasets.py", line 148, in <module>
for x in train_loader:
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 345, in __next__
data = self._next_data()
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 385, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp>
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/nlp/arrow_dataset.py", line 338, in __getitem__
output_all_columns=self._output_all_columns,
File "/home/dpressel/anaconda3/lib/python3.7/site-packages/nlp/arrow_dataset.py", line 294, in _getitem
outputs = self._unnest(self._data.slice(key, 1).to_pydict())
File "pyarrow/table.pxi", line 1211, in pyarrow.lib.Table.slice
File "pyarrow/public-api.pxi", line 390, in pyarrow.lib.pyarrow_wrap_table
File "pyarrow/error.pxi", line 85, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Column 3: In chunk 0: Invalid: Length spanned by list offsets (15859698) larger than values array (length 100000)
Process finished with exit code 1
```
The full-example program (minus the print stmts) is here:
https://github.com/dpressel/mead-baseline/pull/620/files
The PR should prevent the cache from losing track of the of the dataset type (based on the location of its data). Not sure about your second problem though (cache off). | [
-0.12632250785827637,
-0.22070901095867157,
-0.10063198953866959,
0.27801084518432617,
0.24547572433948517,
-0.20522341132164001,
0.137210875749588,
0.5128593444824219,
0.18828663229942322,
-0.06233531981706619,
0.12781980633735657,
0.38913458585739136,
0.003776297438889742,
-0.1606176495552063,
-0.010743561200797558,
0.024212030693888664,
0.09608013927936554,
0.23505231738090515,
-0.14556236565113068,
-0.1648235321044922,
0.08189409971237183,
0.2129841297864914,
-0.042409978806972504,
0.11652691662311554,
-0.39034950733184814,
0.041289906948804855,
0.21235668659210205,
-0.2308902144432068,
0.06845776736736298,
-0.25706538558006287,
0.1678507924079895,
-0.09324328601360321,
0.02583368308842182,
0.16631756722927094,
-0.00010973814642056823,
0.0067980014719069,
-0.01538778841495514,
-0.13856948912143707,
-0.007274831645190716,
0.04019518941640854,
0.11813383549451828,
-0.21172897517681122,
-0.10918274521827698,
-0.3121316730976105,
-0.3320115804672241,
-0.03766085207462311,
0.01780932955443859,
-0.35565948486328125,
0.31285759806632996,
0.14745205640792847,
0.26071032881736755,
0.22490893304347992,
-0.2538125216960907,
0.21113626658916473,
0.14512759447097778,
-0.029327336698770523,
-0.17419742047786713,
-0.04230547323822975,
-0.04397892951965332,
-0.33446553349494934,
-0.37676504254341125,
0.5254571437835693,
-0.07658161967992783,
0.17014139890670776,
0.21466633677482605,
0.22505579888820648,
0.17260590195655823,
0.035937704145908356,
0.1429363638162613,
-0.11396253854036331,
0.011094827204942703,
-0.22691738605499268,
-0.027116434648633003,
-0.3733721077442169,
-0.4186401665210724,
-0.07852599024772644,
0.13762502372264862,
0.18104472756385803,
-0.1363932490348816,
-0.06371653825044632,
-0.43193766474723816,
0.2392898052930832,
0.0652494877576828,
-0.012788408435881138,
0.11952681839466095,
0.29516080021858215,
0.04380622133612633,
0.19522294402122498,
0.12944649159908295,
-0.06973281502723694,
-0.022558962926268578,
-0.21451696753501892,
-0.05897140875458717,
0.22640138864517212,
-0.4359849691390991,
0.07208239287137985,
0.4315200448036194,
-0.1404140740633011,
-0.053242750465869904,
0.03063775785267353,
0.3919311761856079,
0.07921352982521057,
0.11681784689426422,
-0.008491764776408672,
-0.10416068881750107,
0.5898676514625549,
0.04432177543640137,
0.17118391394615173,
-0.014969921670854092,
-0.19827847182750702,
-0.3560168445110321,
0.004987859632819891,
0.2880178987979889,
-0.28660091757774353,
0.42841145396232605,
0.40236055850982666,
-0.04226037487387657,
-0.12152973562479019,
-0.030102189630270004,
0.09402408450841904,
-0.33085379004478455,
0.05566990002989769,
0.058729998767375946,
0.31395798921585083,
-0.22545045614242554,
0.14926567673683167,
-0.17376750707626343,
-0.10335483402013779,
-0.3849693238735199,
0.12735125422477722,
-0.33784618973731995,
-0.033323898911476135,
-0.4962189197540283,
0.0015165578806772828,
0.28538474440574646,
-0.002859933767467737,
0.28535225987434387,
-0.038445454090833664,
-0.13722018897533417,
-0.3019891679286957,
0.10317365825176239,
-0.39851170778274536,
0.5702314376831055,
-0.1072295531630516,
-0.19701702892780304,
0.24102117121219635,
0.13037829101085663,
0.08526421338319778,
-0.29768794775009155,
-0.19837751984596252,
-0.1698075532913208,
-0.20906901359558105,
0.2598607540130615,
0.24224542081356049,
-0.07942765206098557,
0.14139588177204132,
0.09248226881027222,
0.0776788741350174,
0.3432585299015045,
-0.232854962348938,
0.10284040868282318,
-0.20148923993110657,
-0.28198012709617615,
-0.2043590545654297,
0.16256873309612274,
0.2623099982738495,
0.06677649915218353,
-0.13737238943576813,
0.4017971158027649,
0.2371826320886612,
0.14729078114032745,
0.4138067364692688,
-0.1965339034795761,
0.30949410796165466,
-0.43349170684814453,
0.3486190438270569,
0.506476879119873,
-0.32673147320747375,
-0.49634483456611633,
0.09944828599691391,
-0.15631580352783203,
0.1002880334854126,
0.10244903713464737,
0.15137287974357605,
0.029087670147418976,
0.014419378712773323,
0.1285371035337448,
0.018702296540141106,
-0.0005146907060407102,
0.208420529961586,
-0.31692788004875183,
-0.021933916956186295,
0.5500646233558655,
-0.2524673640727997,
0.02847237139940262,
-0.13123734295368195,
-0.05504271760582924,
0.021933000534772873,
0.006768169347196817,
-0.11219003051519394,
0.12185932695865631,
0.11460470408201218,
-0.056878868490457535,
-0.1581844687461853,
-0.10643851011991501,
-0.024692509323358536,
-0.28826257586479187,
0.23830120265483856,
-0.14981895685195923,
-0.0999680832028389,
0.06172538921236992,
-0.09704917669296265,
-0.16200260818004608,
-0.12927502393722534,
-0.18091638386249542,
-0.27306458353996277,
0.20130178332328796,
0.23052407801151276,
0.3202398419380188,
-0.07290733605623245,
0.2252090722322464,
0.3680817782878876,
0.048363614827394485,
-0.21607212722301483,
-0.4300347566604614,
0.08568026125431061,
-0.17773471772670746,
-0.2188279777765274,
-0.0748467668890953,
0.22306986153125763,
0.2090262770652771,
-0.04792642965912819,
-0.14242812991142273,
0.14827579259872437,
-0.2220856100320816,
0.4189179241657257,
-0.13702799379825592,
0.269452840089798,
-0.06965683400630951,
0.029306238517165184,
0.016667358577251434,
0.25400519371032715,
0.05881987884640694,
-0.08980134129524231,
-0.07270598411560059,
0.47423407435417175,
0.18140216171741486,
0.17011605203151703,
-0.048070792108774185,
-0.21626794338226318,
0.051984209567308426,
-0.17831753194332123,
-0.12091574817895889,
-0.11881643533706665,
0.13640747964382172,
-0.08057200163602829,
0.1488880068063736,
0.15232868492603302,
-0.10698743164539337,
0.3120083510875702,
0.7600833773612976,
0.19691871106624603,
-0.011016919277608395,
0.015740947797894478,
-0.057213034480810165,
-0.21779173612594604,
0.3338564336299896,
-0.05868269130587578,
0.31038790941238403,
0.10473166406154633,
0.12716487050056458,
-0.04620952904224396,
-0.21965020895004272,
-0.15443570911884308,
0.12464798986911774,
-0.21436883509159088,
-0.1919763833284378,
0.308034211397171,
0.28208687901496887,
-0.15836724638938904,
-0.35378316044807434,
0.0940157026052475,
-0.01276430580765009,
0.026191623881459236,
-0.15800140798091888,
0.21723663806915283,
-0.1665293276309967,
-0.2780851721763611,
-0.28641536831855774,
0.13615694642066956,
-0.12220374494791031,
-0.0921654924750328,
-0.04126313701272011,
0.42542964220046997,
-0.036654673516750336,
0.19515161216259003,
-0.3149721920490265,
0.08951952308416367,
0.226604163646698,
-0.2663276791572571,
-0.07168538868427277,
-0.1902879923582077,
-0.39492008090019226,
0.04223187640309334,
-0.09523041546344757,
-0.0929960310459137,
0.3783297538757324,
-0.04731621965765953,
-0.06796029210090637,
-0.2881457805633545,
-0.1725403368473053,
0.10717813670635223,
-0.09261170029640198,
-0.15536807477474213,
0.16724860668182373,
-0.03133843466639519,
-0.10115880519151688,
-0.2987455725669861,
0.29379722476005554,
-0.3053131401538849,
-0.29914355278015137,
-0.05198654159903526,
0.09890630096197128,
0.03010939620435238,
-0.28034764528274536,
-0.42862412333488464,
0.27357834577560425,
-0.31724390387535095,
0.07546782493591309,
-0.14892923831939697,
0.18622653186321259,
0.33093470335006714,
0.008953339420258999,
-0.014561006799340248,
-0.06404032558202744,
0.16439402103424072,
-0.46741002798080444,
-0.1409541219472885,
0.32257840037345886,
0.01876099780201912,
-0.21630428731441498,
-0.32459139823913574,
-0.27572473883628845,
0.347724050283432,
0.19238898158073425,
-0.5803960561752319,
-0.21442314982414246,
-0.04890046268701553,
0.24803197383880615,
-0.05125873163342476,
-0.04649535194039345,
0.5745421648025513,
0.01972527615725994,
-0.17946361005306244,
-0.16727842390537262,
-0.33184051513671875,
0.35973140597343445,
0.41926297545433044,
0.2494877278804779,
-0.011159147135913372,
0.17781507968902588,
0.20092034339904785,
0.6707466244697571,
0.20191961526870728,
-0.25905755162239075,
0.3317307233810425,
0.10723208636045456,
0.07499753683805466,
-0.2034970372915268,
-0.3130224943161011,
0.18576058745384216,
-0.18160304427146912,
0.019732147455215454,
0.2719840407371521,
0.006251134444028139,
-0.2801845371723175,
0.01774226687848568,
0.21881961822509766,
-0.2253446877002716,
-0.3280579447746277,
0.2597459852695465,
-0.34242793917655945,
0.24094845354557037,
0.03637058660387993,
0.31580042839050293,
-0.5820142030715942,
-0.24272412061691284,
0.19462814927101135,
-0.33594635128974915,
0.2798454165458679,
0.04449770972132683,
-0.5836008787155151,
0.12147048860788345,
-0.538021981716156,
0.18194131553173065,
0.3146284818649292,
0.2724076807498932,
-0.09202561527490616,
-0.2465258091688156,
0.04334738850593567,
-0.14713139832019806,
0.5711411833763123,
0.040972813963890076,
0.4085797369480133,
0.1699264794588089,
-0.1302468627691269,
-0.1994732767343521,
-0.2247127890586853,
0.017234763130545616,
0.2801370620727539,
0.32649919390678406,
0.40084776282310486,
-0.3452445864677429,
-0.36327362060546875,
-0.26576584577560425,
0.007364223711192608,
-0.04618128761649132,
0.007107758894562721,
-0.12583346664905548,
0.18938525021076202,
0.01648680679500103,
0.17434526979923248,
-0.01498047262430191,
0.1183028295636177,
0.016039855778217316,
-0.13654641807079315,
-0.03913364186882973,
-0.21942690014839172,
0.1282409280538559,
0.2264377325773239,
0.4735944867134094,
0.15032504498958588,
0.03246142715215683,
0.033214494585990906,
0.21515744924545288,
-0.5671088099479675,
0.26595762372016907,
-0.08884964138269424,
-0.004131742753088474,
0.07464420050382614,
0.14443816244602203,
-0.03030155971646309,
0.3378978669643402,
-0.04252500832080841,
0.14571364223957062,
-0.12862949073314667,
0.008956843055784702,
-0.5539686679840088,
0.4854544401168823,
0.3874591886997223,
0.13246646523475647,
-0.04488928243517876,
-0.24685749411582947,
0.17346294224262238,
0.07412006705999374,
-0.2765309810638428,
0.1322597712278366,
-0.4306926131248474,
-0.43199479579925537,
0.1857973337173462,
0.20948611199855804,
0.9232466816902161,
0.332022100687027,
0.3719581067562103,
0.1007041484117508,
0.10358098894357681,
0.2642512321472168,
-0.23411183059215546,
0.40925082564353943,
-0.3693642020225525,
-0.0463179275393486,
0.024538656696677208,
-0.16673317551612854,
-0.22738394141197205,
-0.010426265187561512,
-0.01099333819001913,
0.30259495973587036,
0.32405051589012146,
0.5999365448951721,
-0.11211955547332764,
0.16669917106628418,
0.21569165587425232,
-0.15811017155647278,
-0.2492315024137497,
0.2010732889175415,
-0.29230374097824097,
0.3152405023574829,
-0.11240831762552261,
-0.07410863041877747,
-0.01650959439575672,
-0.35134196281433105,
0.06714027374982834,
0.06094216927886009,
-0.3365170657634735,
0.3048412501811981,
0.13346198201179504,
-0.27266666293144226,
-0.2969881594181061,
0.2550773024559021,
0.11198677867650986,
0.08252744376659393,
-0.048600129783153534,
-0.03518514335155487,
0.40064483880996704,
0.3504585027694702,
-0.006891036406159401,
-0.20158861577510834,
0.1864127367734909,
0.06387528032064438,
-0.012894121930003166,
0.03024262934923172,
-0.05640564113855362,
-0.3015829622745514,
-0.25251179933547974,
0.14820435643196106,
0.003372181672602892,
-0.41296184062957764,
-0.05531826987862587,
0.061445046216249466,
-0.066788449883461,
-0.09413714706897736,
0.15088026225566864,
-0.026068205013871193,
-0.10794040560722351,
0.3151542544364929,
0.1173383817076683,
-0.24304209649562836,
0.05235802382230759,
0.47483208775520325,
-0.040397144854068756,
0.03181783854961395,
0.41542795300483704,
-0.15281881392002106,
-0.10380645841360092,
-0.2553911507129669,
-0.28417274355888367,
-0.10205967724323273,
-0.44884082674980164,
0.11220790445804596,
-0.2194061428308487,
-0.4019114077091217,
0.0442325733602047,
0.280818372964859,
0.014706877060234547,
0.31849586963653564,
-0.011618148535490036,
-0.12495850026607513,
-0.37697234749794006,
-0.10379048436880112,
-0.1065821498632431,
0.2671777307987213,
0.2795186936855316,
0.2843484878540039,
-0.29586702585220337,
0.2492261826992035,
-0.38310956954956055,
-0.1071421355009079,
-0.18716979026794434,
0.4379133880138397,
-0.03913804888725281,
-0.3655827045440674,
-0.009147044271230698,
0.00185489805880934,
0.12997117638587952,
0.17754493653774261,
-0.6386589407920837,
-0.2926190495491028,
-0.09099180996417999,
0.08186071366071701,
-0.007587700616568327,
-0.159822016954422,
-0.23928211629390717,
-0.017213808372616768,
0.18238461017608643,
-0.42740321159362793,
0.09215689450502396,
0.15121674537658691,
0.047031741589307785,
0.23718656599521637,
-0.16102980077266693,
0.12145575135946274,
0.2881677746772766,
-0.18652726709842682,
-0.18414875864982605,
-0.07622820883989334,
0.08048128336668015,
0.2570165991783142,
-0.069468192756176,
0.02047928236424923,
-0.21040309965610504,
0.03047284670174122,
0.08927395939826965,
0.1427948772907257,
0.23692886531352997,
-0.024752512574195862,
-0.2156609743833542,
0.0005510254995897412,
0.1827995628118515,
0.11411970853805542,
-0.07855338603258133,
-0.32897529006004333,
0.2802230417728424,
0.27836501598358154,
-0.11751806735992432,
-0.010236726142466068,
0.16770757734775543,
-0.09938807040452957,
0.2528513967990875,
0.2071538120508194,
0.10758750885725021,
0.052611079066991806,
0.26961180567741394,
0.12649419903755188,
0.40504035353660583,
-0.34832870960235596,
0.08942142128944397,
0.06441634148359299,
0.10164941847324371,
0.0377780981361866,
0.3812146782875061,
-0.15324392914772034,
0.08992191404104233,
0.14838334918022156,
0.18833690881729126,
0.20253953337669373,
0.2628898620605469,
0.21354152262210846,
-0.1878644973039627,
-0.03412109240889549,
-0.24108682572841644,
0.14363647997379303,
-0.14272600412368774,
0.4156598746776581,
0.15059241652488708,
0.19285538792610168,
-0.11485260725021362,
-0.4619389772415161,
-0.24626794457435608,
0.23536370694637299,
-0.3245418071746826,
-0.30920886993408203,
-0.04867832362651825,
-0.08018530905246735,
0.05592920631170273,
0.1945614516735077,
-0.07929019629955292,
0.20385901629924774,
0.34283849596977234,
-0.008660116232931614,
-0.013750203885138035,
-0.08435358107089996,
-0.17061741650104523,
0.11397870630025864,
0.27486518025398254,
-0.08173874765634537,
0.44693678617477417,
0.01080083753913641,
-0.05156949535012245,
-0.2344711422920227,
0.41141751408576965,
0.28612861037254333,
0.1949474811553955,
-0.168862447142601,
0.06395307183265686,
0.20064708590507507,
0.0306134894490242,
-0.3546890914440155,
0.3286518454551697,
0.1511448621749878,
-0.2930276095867157,
0.36800575256347656,
0.12379536032676697,
-0.23215578496456146,
0.2764037549495697,
-0.10419601202011108,
-0.20146721601486206,
-0.04988892748951912,
0.3224368989467621,
0.0997074767947197,
-0.0399320125579834,
-0.19496309757232666,
0.11112021654844284,
-0.14457158744335175,
-0.28533950448036194,
0.15934592485427856,
-0.02389831282198429,
0.46766093373298645,
-0.275675505399704,
0.11720515042543411,
-0.06182502955198288,
0.6220859885215759,
-0.02922753430902958,
0.12432888895273209,
-0.350137859582901,
0.10264351218938828,
-0.33316680788993835,
0.1984093189239502,
-0.08381783962249756,
0.15374279022216797,
-0.3975840210914612,
0.20426496863365173,
-0.11549855023622513,
-0.023466093465685844,
-0.11804244667291641,
-0.00788638461381197,
0.14740723371505737,
0.17893213033676147,
-0.3869176506996155,
0.1554814726114273,
-0.0862593725323677,
-0.00626726308837533,
0.2917737364768982,
-0.37667545676231384,
0.22199058532714844,
0.04247966781258583,
0.20691059529781342,
0.010986385866999626,
-0.02172369882464409,
-0.054806627333164215,
0.33657434582710266,
0.6232408285140991,
0.34702974557876587,
0.14255116879940033,
-0.10102774947881699,
0.08155330270528793,
-0.34743764996528625,
0.014104106463491917,
-0.06088816747069359,
-0.20964983105659485,
0.09756835550069809,
0.5258304476737976,
-0.22562745213508606,
0.13194629549980164,
-0.17804564535617828,
0.2366943657398224,
0.38227659463882446,
-0.15272878110408783,
0.06179971620440483,
0.048225898295640945,
-0.25984057784080505,
-0.005199328530579805,
-0.12586632370948792,
0.45379582047462463,
0.007182890549302101,
0.32383018732070923,
-0.3592907786369324,
-0.5417624711990356,
0.4329099953174591,
-0.4511263966560364,
-0.3025250732898712,
0.12327846884727478,
0.23878563940525055,
0.34956884384155273,
-0.06000060588121414,
-0.5436676144599915,
-0.1724908947944641,
0.26911357045173645,
-0.030661094933748245,
-0.15704523026943207,
0.20768482983112335,
-0.1486440747976303,
-0.04107564687728882,
-0.11675458401441574,
0.17646899819374084,
0.10152711719274521,
-0.29141318798065186,
0.2436991184949875,
-0.37010371685028076
] |
Subsets and Splits