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Error code: DatasetGenerationCastError Exception: DatasetGenerationCastError Message: An error occurred while generating the dataset All the data files must have the same columns, but at some point there are 7 new columns ({'downs', 'upvote_ratio', 'author_karma', 'author_name', 'permalink', 'title', 'created_utc'}) and 1 missing columns ({'keywords'}). This happened while the csv dataset builder was generating data using hf://datasets/huanggab/reddit_haiku/processing_code/reddit-2022-10-20-dump.csv (at revision d9c4b7fe6948e8651d914b111367c4be9f2f0269) Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations) Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table pa_table = table_cast(pa_table, self._schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast id: string Unnamed: 0: int64 title: string author_name: string author_karma: int64 ups: int64 downs: int64 upvote_ratio: double permalink: string created_utc: double processed_title: string -- schema metadata -- pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1542 to {'Unnamed: 0': Value(dtype='int64', id=None), 'id': Value(dtype='string', id=None), 'processed_title': Value(dtype='string', id=None), 'ups': Value(dtype='int64', id=None), 'keywords': Value(dtype='string', id=None)} because column names don't match During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1321, in compute_config_parquet_and_info_response parquet_operations = convert_to_parquet(builder) File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 935, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare self._prepare_split(split_generator, **prepare_split_kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split for job_id, done, content in self._prepare_split_single( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single raise DatasetGenerationCastError.from_cast_error( datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset All the data files must have the same columns, but at some point there are 7 new columns ({'downs', 'upvote_ratio', 'author_karma', 'author_name', 'permalink', 'title', 'created_utc'}) and 1 missing columns ({'keywords'}). This happened while the csv dataset builder was generating data using hf://datasets/huanggab/reddit_haiku/processing_code/reddit-2022-10-20-dump.csv (at revision d9c4b7fe6948e8651d914b111367c4be9f2f0269) Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
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Unnamed: 0
int64 | id
string | processed_title
string | ups
int64 | keywords
string |
---|---|---|---|---|
0 | 1020ac | There's nothing inside/There is nothing outside me/I search on in hope. | 5 | [('inside', 0.5268), ('outside', 0.3751), ('search', 0.3367), ('hope', 0.272)] |
1 | 107cob | From whole we crumble/Forever lost to chaos/Never one again | 1 | [('chaos', 0.5962), ('crumble', 0.4749), ('forever', 0.4099), ('lost', 0.3337)] |
2 | 109a51 | Indistinctiveness/Immeasurability/Capitalism | 3 | [('indistinctiveness', 0.7664), ('immeasurability', 0.5407), ('capitalism', 0.5254)] |
3 | 10eysi | Internet is down/Obligations go bye-bye/Office rejoices | 9 | [('office', 0.5033), ('obligations', 0.4663), ('rejoices', 0.4336), ('internet', 0.3998), ('bye', 0.2772)] |
4 | 10f79k | Cotton in my mouth/Needles in my blood and bones/Hammers in my head. | 1 | [('needles', 0.5314), ('cotton', 0.4806), ('blood', 0.4004), ('bones', 0.3279), ('hammers', 0.3083)] |
5 | 10h3x8 | Mighty Hummingbird/drinks from a grapefruit's blossom;/blots out an airplane | 7 | [('hummingbird', 0.5706), ('grapefruit', 0.481), ('drinks', 0.3803), ('blossom', 0.3687), ('airplane', 0.3433)] |
6 | 10mgcy | Downvotes fall as sharp/snowflakes of early winter,/an execution. | 1 | [('snowflakes', 0.5383), ('winter', 0.4421), ('downvotes', 0.3616), ('fall', 0.3603), ('execution', 0.3279)] |
7 | 10oy3o | Seven ships tonight/Guess I should've said goodbye/Saw eight this morning. | 1 | [('ships', 0.4741), ('seven', 0.441), ('goodbye', 0.4332), ('morning', 0.3336), ('saw', 0.2597)] |
8 | 10qvrn | Big words are so bad/They can ruin a haiku/Refrigerator | 0 | [('haiku', 0.6461), ('words', 0.4339), ('refrigerator', 0.3415), ('ruin', 0.2549), ('bad', 0.2115)] |
9 | 1124nn | At the end of life/the kings, the queens, and the pawns/are in the same box | 43 | [('kings', 0.4799), ('pawns', 0.4481), ('queens', 0.3661), ('box', 0.3358), ('life', 0.2961)] |
10 | 113rj0 | The "free man's" short life/success measured in money/all work and no play | 7 | [('money', 0.3652), ('short', 0.3284), ('life', 0.3214), ('work', 0.2969), ('success', 0.2953)] |
11 | 1155zb | Like lemmings off cliffs/humans flock to a leader/who is just as blind | 17 | [('lemmings', 0.5237), ('flock', 0.4296), ('blind', 0.4019), ('cliffs', 0.3912), ('humans', 0.3527)] |
12 | 115p6t | You left this morning/before I woke. My bed's empty;/my toothbrush minty. | 1 | [('toothbrush', 0.5477), ('morning', 0.4745), ('minty', 0.4673), ('bed', 0.4549), ('woke', 0.3232)] |
13 | 115qay | You left this morning/before I woke. Bed's empty;/my toothbrush, minty. | 3 | [('toothbrush', 0.5631), ('minty', 0.4856), ('morning', 0.4775), ('bed', 0.4232), ('woke', 0.3281)] |
14 | 11635f | The world keeps spinning/And nobody notices/But what if it stopped? | 9 | [('spinning', 0.4683), ('world', 0.3198), ('stopped', 0.2867), ('keeps', 0.1302), ('notices', 0.0953)] |
15 | 116atb | We live our whole lives/to make it safely to death;/why not take some risks? | 12 | [('risks', 0.5995), ('safely', 0.475), ('death', 0.3317), ('live', 0.2785), ('lives', 0.2744)] |
16 | 117kom | The endless beauty/natures finest gift to all/that girls shining grin. | 1 | [('beauty', 0.513), ('natures', 0.4346), ('grin', 0.4208), ('endless', 0.3851), ('shining', 0.3564)] |
17 | 117prx | life has a mantra/I am sad to discover/the fun is over | 1 | [('life', 0.4726), ('mantra', 0.4694), ('sad', 0.3049), ('discover', 0.3041), ('fun', 0.2864)] |
18 | 117t83 | If zombies are real/I will break your fucking foot/Gimps are slow as hell | 0 | [('gimps', 0.5475), ('zombies', 0.5333), ('slow', 0.2621), ('real', 0.2476), ('foot', 0.2466)] |
19 | 119wfn | Buildings will remain/monuments to our excess/but we will be gone | 10 | [('buildings', 0.5303), ('monuments', 0.5206), ('remain', 0.3772), ('excess', 0.2167), ('gone', 0.2051)] |
20 | 11e4aw | The last drop of oil/will be burnt by a tank, in/a war over it | 22 | [('oil', 0.5184), ('war', 0.482), ('tank', 0.4056), ('burnt', 0.3286), ('drop', 0.3149)] |
21 | 11f8o1 | Autumn chill descends/Electric blanket returns/Snug in my cocoon | 1 | [('blanket', 0.6077), ('autumn', 0.4896), ('cocoon', 0.4582), ('electric', 0.352), ('descends', 0.3179)] |
22 | 11g0dv | Sociopath pee/Trickle down economics/Are one and the same | 0 | [('sociopath', 0.5391), ('economics', 0.4604), ('trickle', 0.4491), ('pee', 0.3752)] |
23 | 11ir7w | I peer the mirror/I fear the face that I see/Broken yet beating. | 5 | [('mirror', 0.5843), ('fear', 0.4673), ('beating', 0.3804), ('face', 0.351), ('peer', 0.2778)] |
24 | 11jpv8 | I stand at the wall/Looking up in the cracks for/signs from my future | 1 | [('signs', 0.496), ('wall', 0.4869), ('cracks', 0.3891), ('stand', 0.3626), ('future', 0.3394)] |
25 | 11v30a | The love of my life/The light of my darkened world/May you rest in peace | 1 | [('darkened', 0.4862), ('peace', 0.436), ('light', 0.3665), ('rest', 0.3519), ('life', 0.3412)] |
26 | 11wwlw | Telltale signs arrive/temper, sickness, bad mornings/hello mom and dad | 5 | [('signs', 0.5317), ('sickness', 0.4841), ('telltale', 0.4067), ('temper', 0.3708), ('mornings', 0.347)] |
27 | 11zzwg | The Haiku Tune (x-post from/r/video) | 1 | [('haiku', 0.7076), ('tune', 0.3941), ('video', 0.2435), ('post', 0.2388)] |
28 | 12014m | Wouldn't mind at all/If while floating the waves/One swallows me whole | 1 | [('floating', 0.5607), ('waves', 0.4525), ('swallows', 0.4321), ('mind', 0.198), ('wouldn', 0.1963)] |
29 | 120fex | Saccharine pop spills/out from the car stereo./It's been a long day. | 6 | [('spills', 0.4876), ('saccharine', 0.4761), ('pop', 0.4005), ('stereo', 0.3756), ('car', 0.3148)] |
30 | 122kx1 | The morning mist fades/in time for the Sun' best gold./Her eyes kept westward. | 1 | [('sun', 0.4133), ('mist', 0.4058), ('morning', 0.3835), ('fades', 0.3605), ('westward', 0.2558)] |
31 | 123bqu | At city limits/her turn signal waves goodbye/as I keep driving. | 5 | [('driving', 0.4113), ('signal', 0.3826), ('goodbye', 0.3662), ('waves', 0.3251), ('turn', 0.3065)] |
32 | 125leq | their kids could survive/if they had that stuff you use/to wash off your car | 6 | [('kids', 0.4085), ('car', 0.2822), ('wash', 0.2568), ('survive', 0.2551), ('stuff', 0.1796)] |
33 | 128dh5 | I suck at haikus/I can't think of anything/Refrigerator | 0 | [('haikus', 0.7284), ('refrigerator', 0.473), ('suck', 0.2569), ('think', 0.1336)] |
34 | 12aj2v | Nature roars her head/some die from the sheer terror/those that don't have ran | 6 | [('roars', 0.4406), ('nature', 0.382), ('terror', 0.3782), ('die', 0.2695), ('ran', 0.2693)] |
35 | 12cucf | you better do it/or you better not regret/not having done it | 1 | [('regret', 0.5593), ('better', 0.3096), ('having', 0.2565)] |
36 | 12gtwd | Eyes clouded by tears/Seeing a freshly dug grave/From the inside out | 14 | [('grave', 0.5316), ('tears', 0.417), ('clouded', 0.3801), ('eyes', 0.3684), ('freshly', 0.3019)] |
37 | 12hl5f | beneath the cover/of howl and other poems/a coin-sized spider | 5 | [('spider', 0.5268), ('howl', 0.4888), ('poems', 0.4428), ('cover', 0.2484), ('beneath', 0.2304)] |
38 | 12lgzr | Birth in this moment/death in this moment as well/Autumn never fails | 2 | [('autumn', 0.5938), ('birth', 0.4546), ('death', 0.4014), ('moment', 0.2995), ('fails', 0.2552)] |
39 | 12lho8 | Electric torches/Concrete caverns in the sky/We haven't changed much. | 1 | [('torches', 0.5713), ('caverns', 0.448), ('electric', 0.3645), ('concrete', 0.3119), ('changed', 0.2499)] |
40 | 12q20c | As upvotes increase/Wit of comments will decrease/Proportionately | 1 | [('comments', 0.4371), ('increase', 0.4291), ('decrease', 0.3993), ('upvotes', 0.3733), ('proportionately', 0.3532)] |
41 | 12rhim | The consolation prize goes/To the ladies at/The barbecue booth, hooray! | 0 | [('consolation', 0.5482), ('barbecue', 0.4674), ('prize', 0.4242), ('hooray', 0.3526), ('ladies', 0.3374)] |
42 | 12u64a | Vacancy/my heart is a hotel/you have rented all the rooms. | 0 | [('hotel', 0.6226), ('vacancy', 0.604), ('rooms', 0.5273), ('rented', 0.4915), ('heart', 0.364)] |
43 | 12x3hy | The pen is lifted/The Creation's flow ceases/We are out of ink | 1 | [('pen', 0.5602), ('ink', 0.4901), ('creation', 0.4297), ('flow', 0.3834), ('ceases', 0.3046)] |
44 | 137jf6 | Meet you at a bar/Our Bodies Coalesce/Breakfast after dawn | 1 | [('breakfast', 0.5295), ('meet', 0.452), ('dawn', 0.4285), ('bar', 0.4104), ('coalesce', 0.3593)] |
45 | 13a85w | Man paints by streetlight/Lone Star Party Bus/Austin is exhausting | 0 | [('austin', 0.4313), ('streetlight', 0.415), ('paints', 0.3986), ('bus', 0.3591), ('exhausting', 0.2675)] |
46 | 13c4mt | You put the lime in/the coconut to fix the/belly ache , You put... | 1 | [('coconut', 0.5641), ('lime', 0.5125), ('belly', 0.3935), ('ache', 0.3165), ('fix', 0.1253)] |
47 | 13cvvz | sharp clanks from coiled wire/dodge deep holes in iced pavement/a very blown shock | 1 | [('shock', 0.45), ('coiled', 0.4001), ('pavement', 0.3968), ('dodge', 0.3075), ('clanks', 0.3059)] |
48 | 13hyrd | Sweat and tears everyday/my will and focus rises above/conquer everything. | 1 | [('sweat', 0.4647), ('tears', 0.4507), ('everyday', 0.3978), ('conquer', 0.391), ('rises', 0.3232)] |
49 | 13ixxj | Sitting at my desk/My butt is starting to sleep/Hope it doesn't snore | 1 | [('snore', 0.5946), ('sleep', 0.5057), ('sitting', 0.4088), ('desk', 0.3981), ('butt', 0.392)] |
50 | 13jqza | Stupid flattened tire./I curse the frigid night, and/wait for CAA. | 1 | [('tire', 0.4958), ('caa', 0.4929), ('flattened', 0.3667), ('frigid', 0.3506), ('curse', 0.3084)] |
51 | 13qrl9 | OP is a fag/bro, he doesn't even lift/jimmies are rustled | 4 | [('jimmies', 0.4604), ('lift', 0.4291), ('rustled', 0.4145), ('fag', 0.3958), ('op', 0.2905)] |
52 | 13s23z | Making a haiku/deal with it, mother fucker/upvotes to the left | 10 | [('haiku', 0.6968), ('upvotes', 0.3217), ('fucker', 0.3144), ('mother', 0.2965), ('left', 0.2745)] |
53 | 13smm0 | socks, they smell of bleach/haven't done laundry this week/filthy, RedTube socks | 11 | [('socks', 0.6772), ('laundry', 0.6547), ('bleach', 0.5294), ('smell', 0.4693), ('filthy', 0.3307)] |
54 | 13ujiz | Chilling with homies/I need watermelon now/so I used welfare | 0 | [('watermelon', 0.642), ('welfare', 0.5147), ('homies', 0.372), ('chilling', 0.3369), ('used', 0.1907)] |
55 | 13uqzu | ornithology/wave behaviors all in one/glorious haiku | 1 | [('haiku', 0.6771), ('wave', 0.5543), ('ornithology', 0.4554), ('behaviors', 0.2797), ('glorious', 0.1785)] |
56 | 13wlr4 | "How'd you spell 'haiku?'"/"It's, uh, H-A-I-K-U"/"Gee, thanks for the help." | 30 | [('haiku', 0.7202), ('spell', 0.2989), ('gee', 0.176), ('uh', 0.1754), ('help', 0.1671)] |
57 | 13y720 | Electricity/flashing across the night sky;/illuminating | 0 | [('flashing', 0.6011), ('electricity', 0.5167), ('illuminating', 0.4944), ('night', 0.4151), ('sky', 0.3766)] |
58 | 13z1d6 | I dream of you God/I know the world is ending/But none will hear me | 1 | [('dream', 0.3969), ('world', 0.3582), ('ending', 0.3446), ('god', 0.3227), ('hear', 0.321)] |
59 | 1402me | We golden flashes/Fall for the same emptiness/As darkness consumes | 3 | [('darkness', 0.5611), ('flashes', 0.4892), ('emptiness', 0.4863), ('golden', 0.443), ('consumes', 0.2958)] |
60 | 140z6p | Light shines from afar/Pain, Freedom, Death, Happiness/The world is ending | 6 | [('happiness', 0.4383), ('light', 0.4341), ('ending', 0.4308), ('world', 0.3848), ('afar', 0.376)] |
61 | 148ogt | dead flies, for our eyes/our pleasure, their sacrifice/rubber ducky Bitch! | 1 | [('flies', 0.5978), ('sacrifice', 0.4088), ('dead', 0.3771), ('ducky', 0.3454), ('eyes', 0.3427)] |
62 | 149lma | First, a bachelor's/then, M.B.A. and J.D./Where's my fucking job? | 1 | [('bachelor', 0.6342), ('job', 0.2958), ('fucking', 0.0958)] |
63 | 14dj9n | Time and time again/celebrities say Haikus/and don't realize it | 1 | [('haikus', 0.6962), ('celebrities', 0.3562), ('realize', 0.233), ('say', 0.228), ('time', 0.2157)] |
64 | 14gs5c | Heaven's deep blue vault/Crowded with opulent clouds/Kites of the kami. | 11 | [('clouds', 0.5258), ('heaven', 0.4413), ('vault', 0.4395), ('kites', 0.3752), ('kami', 0.3651)] |
65 | 14jlgh | A bridge is so vast/Crossing gaps and joining friends/Worldly and within. | 9 | [('bridge', 0.714), ('crossing', 0.4866), ('gaps', 0.318), ('joining', 0.3108), ('friends', 0.2996)] |
66 | 14mgs2 | Yay! New subreddit/I know it will be funny!/Damn. It's not at all. | 11 | [('subreddit', 0.3618), ('new', 0.3175), ('funny', 0.3042), ('yay', 0.215), ('know', 0.1452)] |
67 | 14n02k | Man dies at eighty/Dropped soap in prison shower/Was brutally stabbed | 1 | [('soap', 0.4588), ('stabbed', 0.4292), ('shower', 0.3227), ('brutally', 0.3109), ('eighty', 0.256)] |
68 | 14n29d | Migrating birds meet/On the water's green sloped shore./Water treatment plant. | 7 | [('birds', 0.5346), ('plant', 0.426), ('shore', 0.3844), ('migrating', 0.3615), ('water', 0.3562)] |
69 | 14rmjb | I wrote a haiku,/I didn't enjoy it much,/So I threw it out. | 2 | [('haiku', 0.7413), ('wrote', 0.3028), ('threw', 0.2189), ('didn', 0.2027), ('enjoy', 0.1433)] |
70 | 14vfu9 | A spherical shape/The sun's bright essence contained/Within a white orb | 2 | [('orb', 0.5162), ('spherical', 0.488), ('essence', 0.4229), ('sun', 0.4196), ('shape', 0.2947)] |
71 | 1515r5 | I'm new around here/you all seem like nice people/God damn, this is hard | 1 | [('hard', 0.3213), ('new', 0.2678), ('people', 0.1972), ('nice', 0.1774), ('like', 0.1661)] |
72 | 152isi | With claw locked in beak/Crushed in a landslide they keep/Fighting Forever | 12 | [('beak', 0.5316), ('claw', 0.5206), ('fighting', 0.3691), ('forever', 0.3527), ('crushed', 0.3307)] |
73 | 153x5j | 575 By Belly Peterson is FREE through 12/21/12 (Kindle Edition) - Please share your thoughts | 0 | [('kindle', 0.5709), ('free', 0.3116), ('575', 0.2919), ('edition', 0.2776), ('21', 0.187)] |
74 | 157oli | You should not be afraid/the world is not going to end/Back to regularly scheduled programming | 0 | [('programming', 0.4549), ('afraid', 0.3561), ('scheduled', 0.3542), ('end', 0.2174), ('world', 0.1663)] |
75 | 15dvul | I walked through a field/Looking as I went along/What is looking back? | 4 | [('field', 0.4814), ('walked', 0.4467), ('looking', 0.2721), ('went', 0.2519)] |
76 | 15gsho | Oh how dreams haunt me/Show me false reality/Life lived in fake time | 6 | [('dreams', 0.4438), ('haunt', 0.4256), ('reality', 0.4145), ('fake', 0.3698), ('lived', 0.3479)] |
77 | 15ltlz | A parting of ways/A bittersweet heart still beats/A confusing life | 1 | [('parting', 0.5448), ('bittersweet', 0.5424), ('heart', 0.5043), ('life', 0.4272), ('confusing', 0.3483)] |
78 | 15mav7 | A love felt so warm/summer breeze sparkling in air/soul captured in flight | 1 | [('breeze', 0.4132), ('soul', 0.3971), ('summer', 0.3908), ('love', 0.3878), ('sparkling', 0.3871)] |
79 | 15n23e | The sky and the cloud/Two companions through my life/Artists up above | 6 | [('sky', 0.5432), ('artists', 0.5391), ('cloud', 0.4556), ('companions', 0.3325), ('life', 0.2948)] |
80 | 15ntcf | World of warcraft trick/a frozen gift, running, bye/never-ending kite. | 1 | [('kite', 0.6688), ('warcraft', 0.5579), ('trick', 0.3896), ('gift', 0.3553), ('frozen', 0.3096)] |
81 | 15nweu | I rescued her from him/now she needs rescuing/from me. | 1 | [('rescued', 0.5912), ('rescuing', 0.582), ('needs', 0.2264)] |
82 | 15qqy3 | Perhaps a window/or perhaps a mirror bright/words fly to paper | 2 | [('paper', 0.4968), ('window', 0.4486), ('mirror', 0.4082), ('bright', 0.378), ('words', 0.3719)] |
83 | 15rtnh | Sure, covetous hands/Unhinge the topmost button/Of my cotton blouse | 0 | [('blouse', 0.5486), ('covetous', 0.4907), ('cotton', 0.3657), ('button', 0.339), ('hands', 0.3309)] |
84 | 15shoh | The birds sing a song/That is uplifting and bright/In this world's darkness. | 3 | [('birds', 0.5175), ('darkness', 0.4567), ('sing', 0.4217), ('uplifting', 0.4162), ('song', 0.367)] |
85 | 15stny | Night falls in winter/silent snow canvas of black/birdsong bursting forth | 6 | [('birdsong', 0.5762), ('snow', 0.5212), ('winter', 0.5084), ('falls', 0.4515), ('night', 0.4188)] |
86 | 15tduc | Hotboxed five-seater/Bullshitting with a stranger/Infatuation. | 0 | [('infatuation', 0.5193), ('seater', 0.4692), ('hotboxed', 0.4666), ('stranger', 0.3308), ('bullshitting', 0.3209)] |
87 | 15topg | As the sun rises/I look to heaven's wonders/Grateful for today | 7 | [('wonders', 0.4408), ('heaven', 0.4395), ('sun', 0.369), ('rises', 0.3672), ('grateful', 0.354)] |
88 | 15umvz | Sexy, spunky girl/tolerates my silliness./Means the world to me. | 27 | [('silliness', 0.4999), ('tolerates', 0.4344), ('spunky', 0.432), ('means', 0.4125), ('girl', 0.3723)] |
89 | 15xmdq | [#3] As the night unwinds/I can not help but wonder/If you're with the stars. | 7 | [('stars', 0.4991), ('unwinds', 0.4132), ('night', 0.4035), ('wonder', 0.2106), ('help', 0.1655)] |
90 | 1608jg | [4]I lie here speechless/Gaze fixed upon the heavens/The sky beckons me | 5 | [('sky', 0.423), ('heavens', 0.3639), ('speechless', 0.3623), ('gaze', 0.3324), ('lie', 0.1956)] |
91 | 1633u0 | [#5] Open up the sky/So my pain will wash away/Let me see again | 1 | [('sky', 0.4137), ('pain', 0.38), ('wash', 0.2735), ('open', 0.2715), ('let', 0.2138)] |
92 | 164hb0 | The honey bucket/sits, awaiting excrement/falling like the rain. | 1 | [('bucket', 0.4995), ('honey', 0.4752), ('excrement', 0.4736), ('rain', 0.4605), ('falling', 0.3279)] |
93 | 165z3j | hope in her eyes/brings out a social shyness/world where we are free | 1 | [('shyness', 0.4827), ('hope', 0.3573), ('social', 0.3269), ('world', 0.2702), ('eyes', 0.2678)] |
94 | 166g1x | Orpheus runs sober/overcast clear blue sky/stuck behind glass | 1 | [('orpheus', 0.5908), ('glass', 0.3852), ('sky', 0.367), ('sober', 0.3657), ('overcast', 0.2811)] |
95 | 166ilc | I'm new to haikus/I need to practice it more/To become awesome. | 1 | [('haikus', 0.7472), ('practice', 0.2866), ('new', 0.1555), ('need', 0.1462), ('awesome', 0.1382)] |
96 | 167c3m | How would you escape/weiner, weiner, in my pants/in case of a fire | 1 | [('weiner', 0.5629), ('escape', 0.4669), ('pants', 0.3855), ('case', 0.1794)] |
97 | 167gt5 | Sleeping is my drug/My bed being the dealer/My alarm the law | 32 | [('sleeping', 0.5316), ('bed', 0.5164), ('alarm', 0.4881), ('dealer', 0.4437), ('drug', 0.4193)] |
98 | 167p9y | I cooked a pizza/cut that bastard into squares/and ate the corners | 0 | [('pizza', 0.4449), ('cooked', 0.4256), ('corners', 0.3881), ('ate', 0.36), ('cut', 0.3574)] |
99 | 167uyn | who is this she asks/says to stay out of her life/delete her number | 1 | [('delete', 0.3819), ('number', 0.3339), ('stay', 0.2967), ('life', 0.2781), ('asks', 0.2308)] |
Dataset Card for "Reddit Haiku"
This dataset contains haikus from the subreddit /r/haiku scraped and filtered between October 19th and 10th 2022, combined with a previous dump of that same subreddit packaged by ConvoKit as part of the Subreddit Corpus, which is itself a subset of pushshift.io's big dump.
A main motivation for this dataset was to collect an alternative haiku dataset for evaluation, in particular for evaluating Fabian Mueller's Deep Haiku model which was trained on the Haiku datasets of hjhalani30 and bfbarry, which are also available on huggingface hub.
Fields
The fields are post id (id
), the content of the haiku (processed_title
), upvotes (ups
), and topic keywords (keywords
). Topic keywords for each haiku have been extracted with the KeyBERT library and truncated to top-5 keywords.
Usage
This dataset is intended for evaluation, hence there is only one split which is test
.
from datasets import load_dataset
d=load_dataset('huanggab/reddit_haiku', data_files='test':'merged_with_keywords.csv'}) # use data_files or it will result in error
>>> print(d['train'][0])
#{'Unnamed: 0': 0, 'id': '1020ac', 'processed_title': "There's nothing inside/There is nothing outside me/I search on in hope.", 'ups': 5, 'keywords': "[('inside', 0.5268), ('outside', 0.3751), ('search', 0.3367), ('hope', 0.272)]"}
There is code for scraping and processing in processing_code
, and a subset of the data with more fields such as author Karma, downvotes and posting time at processing_code/reddit-2022-10-20-dump.csv
.
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