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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6965). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update." ]

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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6964). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update." ]

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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6963). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update." ]

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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6962). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005520 / 0.011353 (-0.005833) | 0.003989 / 0.011008 (-0.007019) | 0.064786 / 0.038508 (0.026278) | 0.031075 / 0.023109 (0.007966) | 0.241619 / 0.275898 (-0.034279) | 0.275341 / 0.323480 (-0.048139) | 0.003139 / 0.007986 (-0.004847) | 0.002820 / 0.004328 (-0.001508) | 0.049766 / 0.004250 (0.045515) | 0.045047 / 0.037052 (0.007995) | 0.251906 / 0.258489 (-0.006583) | 0.285889 / 0.293841 (-0.007952) | 0.028297 / 0.128546 (-0.100249) | 0.010683 / 0.075646 (-0.064963) | 0.206467 / 0.419271 (-0.212805) | 0.036267 / 0.043533 (-0.007266) | 0.250720 / 0.255139 (-0.004419) | 0.268565 / 0.283200 (-0.014635) | 0.020394 / 0.141683 (-0.121289) | 1.114283 / 1.452155 (-0.337872) | 1.163884 / 1.492716 (-0.328833) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.112698 / 0.018006 (0.094692) | 0.302740 / 0.000490 (0.302251) | 0.000209 / 0.000200 (0.000009) | 0.000044 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019337 / 0.037411 (-0.018075) | 0.062854 / 0.014526 (0.048328) | 0.077088 / 0.176557 (-0.099468) | 0.120926 / 0.737135 (-0.616209) | 0.075594 / 0.296338 (-0.220744) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.290787 / 0.215209 (0.075578) | 2.867894 / 2.077655 (0.790239) | 1.490043 / 1.504120 (-0.014076) | 1.356383 / 1.541195 (-0.184812) | 1.400229 / 1.468490 (-0.068261) | 0.582076 / 4.584777 (-4.002701) | 2.398270 / 3.745712 (-1.347442) | 2.856459 / 5.269862 (-2.413403) | 1.815545 / 4.565676 (-2.750131) | 0.063259 / 0.424275 (-0.361016) | 0.005056 / 0.007607 (-0.002551) | 0.347699 / 0.226044 (0.121655) | 3.466511 / 2.268929 (1.197582) | 1.862096 / 55.444624 (-53.582528) | 1.532324 / 6.876477 (-5.344152) | 1.599411 / 2.142072 (-0.542661) | 0.657350 / 4.805227 (-4.147878) | 0.118981 / 6.500664 (-6.381683) | 0.042224 / 0.075469 (-0.033245) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.965649 / 1.841788 (-0.876139) | 11.896501 / 8.074308 (3.822193) | 9.873923 / 10.191392 (-0.317469) | 0.141165 / 0.680424 (-0.539258) | 0.013885 / 0.534201 (-0.520316) | 0.291464 / 0.579283 (-0.287819) | 0.273153 / 0.434364 (-0.161211) | 0.324395 / 0.540337 (-0.215942) | 0.422040 / 1.386936 (-0.964897) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005640 / 0.011353 (-0.005713) | 0.004035 / 0.011008 (-0.006973) | 0.050831 / 0.038508 (0.012323) | 0.032841 / 0.023109 (0.009732) | 0.272226 / 0.275898 (-0.003672) | 0.297880 / 0.323480 (-0.025599) | 0.004397 / 0.007986 (-0.003588) | 0.002762 / 0.004328 (-0.001566) | 0.049887 / 0.004250 (0.045637) | 0.040372 / 0.037052 (0.003320) | 0.286337 / 0.258489 (0.027848) | 0.320015 / 0.293841 (0.026174) | 0.029992 / 0.128546 (-0.098554) | 0.010781 / 0.075646 (-0.064865) | 0.059391 / 0.419271 (-0.359880) | 0.034410 / 0.043533 (-0.009123) | 0.273024 / 0.255139 (0.017885) | 0.288953 / 0.283200 (0.005754) | 0.018072 / 0.141683 (-0.123611) | 1.125742 / 1.452155 (-0.326413) | 1.175233 / 1.492716 (-0.317483) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.093470 / 0.018006 (0.075463) | 0.313248 / 0.000490 (0.312758) | 0.000324 / 0.000200 (0.000124) | 0.000081 / 0.000054 (0.000026) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023529 / 0.037411 (-0.013882) | 0.077305 / 0.014526 (0.062779) | 0.088916 / 0.176557 (-0.087640) | 0.128792 / 0.737135 (-0.608344) | 0.090141 / 0.296338 (-0.206197) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.291110 / 0.215209 (0.075901) | 2.848118 / 2.077655 (0.770464) | 1.581664 / 1.504120 (0.077544) | 1.446390 / 1.541195 (-0.094804) | 1.452594 / 1.468490 (-0.015896) | 0.571213 / 4.584777 (-4.013564) | 0.976382 / 3.745712 (-2.769330) | 2.756192 / 5.269862 (-2.513670) | 1.770274 / 4.565676 (-2.795403) | 0.064513 / 0.424275 (-0.359763) | 0.005334 / 0.007607 (-0.002273) | 0.347380 / 0.226044 (0.121335) | 3.424800 / 2.268929 (1.155871) | 1.942374 / 55.444624 (-53.502250) | 1.636069 / 6.876477 (-5.240407) | 1.795327 / 2.142072 (-0.346745) | 0.658942 / 4.805227 (-4.146285) | 0.119542 / 6.500664 (-6.381123) | 0.041826 / 0.075469 (-0.033643) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.007230 / 1.841788 (-0.834558) | 12.293084 / 8.074308 (4.218776) | 10.618104 / 10.191392 (0.426712) | 0.133691 / 0.680424 (-0.546733) | 0.015725 / 0.534201 (-0.518476) | 0.288860 / 0.579283 (-0.290423) | 0.130546 / 0.434364 (-0.303818) | 0.327279 / 0.540337 (-0.213059) | 0.428768 / 1.386936 (-0.958168) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#af3acfdfcf76bb980dbac871540e30c2cade0cf9 \"CML watermark\")\n" ]

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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6960). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "Yes!", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005007 / 0.011353 (-0.006346) | 0.003603 / 0.011008 (-0.007405) | 0.062719 / 0.038508 (0.024211) | 0.029327 / 0.023109 (0.006217) | 0.250360 / 0.275898 (-0.025538) | 0.265095 / 0.323480 (-0.058385) | 0.004205 / 0.007986 (-0.003781) | 0.002713 / 0.004328 (-0.001616) | 0.049209 / 0.004250 (0.044958) | 0.045162 / 0.037052 (0.008110) | 0.260439 / 0.258489 (0.001950) | 0.287778 / 0.293841 (-0.006063) | 0.027458 / 0.128546 (-0.101088) | 0.010169 / 0.075646 (-0.065477) | 0.199487 / 0.419271 (-0.219784) | 0.036584 / 0.043533 (-0.006949) | 0.254523 / 0.255139 (-0.000616) | 0.269902 / 0.283200 (-0.013298) | 0.017138 / 0.141683 (-0.124545) | 1.099285 / 1.452155 (-0.352869) | 1.150878 / 1.492716 (-0.341839) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.092868 / 0.018006 (0.074862) | 0.300421 / 0.000490 (0.299932) | 0.000213 / 0.000200 (0.000013) | 0.000053 / 0.000054 (-0.000001) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.018810 / 0.037411 (-0.018601) | 0.062341 / 0.014526 (0.047815) | 0.074779 / 0.176557 (-0.101777) | 0.120641 / 0.737135 (-0.616494) | 0.075020 / 0.296338 (-0.221318) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.277782 / 0.215209 (0.062573) | 2.716427 / 2.077655 (0.638772) | 1.434204 / 1.504120 (-0.069916) | 1.335990 / 1.541195 (-0.205205) | 1.336636 / 1.468490 (-0.131854) | 0.557562 / 4.584777 (-4.027215) | 2.323517 / 3.745712 (-1.422196) | 2.647937 / 5.269862 (-2.621925) | 1.728735 / 4.565676 (-2.836941) | 0.061888 / 0.424275 (-0.362387) | 0.004981 / 0.007607 (-0.002627) | 0.329429 / 0.226044 (0.103385) | 3.324708 / 2.268929 (1.055779) | 1.832641 / 55.444624 (-53.611983) | 1.514386 / 6.876477 (-5.362091) | 1.656912 / 2.142072 (-0.485160) | 0.630706 / 4.805227 (-4.174521) | 0.116250 / 6.500664 (-6.384414) | 0.042598 / 0.075469 (-0.032871) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.969217 / 1.841788 (-0.872570) | 11.232580 / 8.074308 (3.158272) | 9.541306 / 10.191392 (-0.650086) | 0.139544 / 0.680424 (-0.540880) | 0.014441 / 0.534201 (-0.519760) | 0.285834 / 0.579283 (-0.293449) | 0.261950 / 0.434364 (-0.172414) | 0.325449 / 0.540337 (-0.214889) | 0.415501 / 1.386936 (-0.971435) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005422 / 0.011353 (-0.005931) | 0.003528 / 0.011008 (-0.007480) | 0.049582 / 0.038508 (0.011074) | 0.032683 / 0.023109 (0.009574) | 0.277309 / 0.275898 (0.001411) | 0.298598 / 0.323480 (-0.024882) | 0.004325 / 0.007986 (-0.003661) | 0.002741 / 0.004328 (-0.001588) | 0.047933 / 0.004250 (0.043683) | 0.040778 / 0.037052 (0.003726) | 0.287492 / 0.258489 (0.029003) | 0.311408 / 0.293841 (0.017567) | 0.029482 / 0.128546 (-0.099064) | 0.010630 / 0.075646 (-0.065016) | 0.057745 / 0.419271 (-0.361526) | 0.033501 / 0.043533 (-0.010031) | 0.279880 / 0.255139 (0.024741) | 0.297421 / 0.283200 (0.014221) | 0.017907 / 0.141683 (-0.123776) | 1.152221 / 1.452155 (-0.299934) | 1.189332 / 1.492716 (-0.303385) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.094464 / 0.018006 (0.076457) | 0.300769 / 0.000490 (0.300279) | 0.000196 / 0.000200 (-0.000004) | 0.000050 / 0.000054 (-0.000004) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022232 / 0.037411 (-0.015179) | 0.076626 / 0.014526 (0.062100) | 0.087807 / 0.176557 (-0.088750) | 0.128847 / 0.737135 (-0.608288) | 0.092135 / 0.296338 (-0.204203) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.299013 / 0.215209 (0.083804) | 2.929788 / 2.077655 (0.852133) | 1.614185 / 1.504120 (0.110065) | 1.486720 / 1.541195 (-0.054475) | 1.492473 / 1.468490 (0.023983) | 0.563699 / 4.584777 (-4.021078) | 0.928820 / 3.745712 (-2.816892) | 2.597271 / 5.269862 (-2.672590) | 1.716534 / 4.565676 (-2.849142) | 0.062568 / 0.424275 (-0.361707) | 0.005168 / 0.007607 (-0.002439) | 0.353781 / 0.226044 (0.127737) | 3.493732 / 2.268929 (1.224803) | 2.018343 / 55.444624 (-53.426282) | 1.694516 / 6.876477 (-5.181961) | 1.796950 / 2.142072 (-0.345123) | 0.634846 / 4.805227 (-4.170382) | 0.115230 / 6.500664 (-6.385434) | 0.040816 / 0.075469 (-0.034654) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.986212 / 1.841788 (-0.855575) | 11.954392 / 8.074308 (3.880084) | 10.299670 / 10.191392 (0.108278) | 0.128358 / 0.680424 (-0.552066) | 0.016313 / 0.534201 (-0.517888) | 0.289621 / 0.579283 (-0.289662) | 0.124708 / 0.434364 (-0.309656) | 0.325269 / 0.540337 (-0.215068) | 0.415133 / 1.386936 (-0.971803) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#97513be330114a8aa07e5199ec252ac662aeb76d \"CML watermark\")\n" ]

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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6959). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "Test should be fixed by https://github.com/huggingface/datasets/pull/6959/commits/ef8f7cee79ffb070d9b5190f21128fc523b3d3ee (tested locally). Let's see what CI says :crossed_fingers: ", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005678 / 0.011353 (-0.005675) | 0.004119 / 0.011008 (-0.006889) | 0.063901 / 0.038508 (0.025393) | 0.032071 / 0.023109 (0.008961) | 0.243182 / 0.275898 (-0.032716) | 0.280709 / 0.323480 (-0.042770) | 0.004195 / 0.007986 (-0.003791) | 0.002810 / 0.004328 (-0.001518) | 0.048722 / 0.004250 (0.044472) | 0.049381 / 0.037052 (0.012328) | 0.257816 / 0.258489 (-0.000673) | 0.288460 / 0.293841 (-0.005381) | 0.028518 / 0.128546 (-0.100029) | 0.010775 / 0.075646 (-0.064871) | 0.203149 / 0.419271 (-0.216122) | 0.038792 / 0.043533 (-0.004741) | 0.248502 / 0.255139 (-0.006637) | 0.268251 / 0.283200 (-0.014949) | 0.019536 / 0.141683 (-0.122147) | 1.133935 / 1.452155 (-0.318220) | 1.182855 / 1.492716 (-0.309862) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.097531 / 0.018006 (0.079525) | 0.303612 / 0.000490 (0.303122) | 0.000222 / 0.000200 (0.000022) | 0.000044 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019670 / 0.037411 (-0.017741) | 0.063439 / 0.014526 (0.048913) | 0.075119 / 0.176557 (-0.101438) | 0.122419 / 0.737135 (-0.614717) | 0.076965 / 0.296338 (-0.219374) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.286780 / 0.215209 (0.071571) | 2.811860 / 2.077655 (0.734206) | 1.485165 / 1.504120 (-0.018954) | 1.373296 / 1.541195 (-0.167898) | 1.412700 / 1.468490 (-0.055790) | 0.566442 / 4.584777 (-4.018335) | 2.382616 / 3.745712 (-1.363096) | 2.677214 / 5.269862 (-2.592647) | 1.760073 / 4.565676 (-2.805603) | 0.062673 / 0.424275 (-0.361602) | 0.005050 / 0.007607 (-0.002557) | 0.341701 / 0.226044 (0.115657) | 3.321182 / 2.268929 (1.052253) | 1.811715 / 55.444624 (-53.632909) | 1.554986 / 6.876477 (-5.321491) | 1.727448 / 2.142072 (-0.414624) | 0.642193 / 4.805227 (-4.163034) | 0.117878 / 6.500664 (-6.382786) | 0.042814 / 0.075469 (-0.032655) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.985894 / 1.841788 (-0.855894) | 12.195975 / 8.074308 (4.121667) | 9.890180 / 10.191392 (-0.301212) | 0.142638 / 0.680424 (-0.537786) | 0.015207 / 0.534201 (-0.518994) | 0.283140 / 0.579283 (-0.296143) | 0.266016 / 0.434364 (-0.168348) | 0.325518 / 0.540337 (-0.214820) | 0.418994 / 1.386936 (-0.967942) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005978 / 0.011353 (-0.005374) | 0.003915 / 0.011008 (-0.007093) | 0.051592 / 0.038508 (0.013084) | 0.033338 / 0.023109 (0.010229) | 0.267925 / 0.275898 (-0.007973) | 0.296011 / 0.323480 (-0.027469) | 0.004503 / 0.007986 (-0.003483) | 0.002854 / 0.004328 (-0.001475) | 0.049958 / 0.004250 (0.045707) | 0.041708 / 0.037052 (0.004656) | 0.287185 / 0.258489 (0.028696) | 0.322715 / 0.293841 (0.028874) | 0.030088 / 0.128546 (-0.098458) | 0.010709 / 0.075646 (-0.064938) | 0.059736 / 0.419271 (-0.359536) | 0.034294 / 0.043533 (-0.009239) | 0.264316 / 0.255139 (0.009177) | 0.285471 / 0.283200 (0.002272) | 0.019197 / 0.141683 (-0.122486) | 1.135571 / 1.452155 (-0.316583) | 1.190019 / 1.492716 (-0.302698) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.099251 / 0.018006 (0.081245) | 0.305357 / 0.000490 (0.304867) | 0.000215 / 0.000200 (0.000015) | 0.000045 / 0.000054 (-0.000010) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023206 / 0.037411 (-0.014205) | 0.077835 / 0.014526 (0.063310) | 0.090242 / 0.176557 (-0.086315) | 0.131208 / 0.737135 (-0.605928) | 0.091726 / 0.296338 (-0.204612) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.292487 / 0.215209 (0.077278) | 2.837044 / 2.077655 (0.759389) | 1.553155 / 1.504120 (0.049035) | 1.433645 / 1.541195 (-0.107550) | 1.476702 / 1.468490 (0.008212) | 0.561926 / 4.584777 (-4.022851) | 0.954630 / 3.745712 (-2.791082) | 2.752286 / 5.269862 (-2.517575) | 1.782746 / 4.565676 (-2.782931) | 0.062984 / 0.424275 (-0.361291) | 0.005056 / 0.007607 (-0.002551) | 0.341700 / 0.226044 (0.115656) | 3.343726 / 2.268929 (1.074798) | 1.953390 / 55.444624 (-53.491234) | 1.616989 / 6.876477 (-5.259488) | 1.785104 / 2.142072 (-0.356969) | 0.643465 / 4.805227 (-4.161763) | 0.115905 / 6.500664 (-6.384759) | 0.041678 / 0.075469 (-0.033791) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.000237 / 1.841788 (-0.841550) | 12.633517 / 8.074308 (4.559208) | 10.553485 / 10.191392 (0.362092) | 0.143188 / 0.680424 (-0.537236) | 0.016020 / 0.534201 (-0.518181) | 0.286739 / 0.579283 (-0.292544) | 0.128488 / 0.434364 (-0.305876) | 0.321932 / 0.540337 (-0.218405) | 0.418635 / 1.386936 (-0.968301) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#9510252f03fded02b8cc87ca6dfa3195d17594ba \"CML watermark\")\n" ]

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[ "I can load public dataset, but for my private dataset it fails", "https://huggingface.co./docs/datasets/upload_dataset", "I have checked the API HTTP link. Repository Not Found for url: https://huggingface.co./api/datasets/xxx/xxx.\r\n\r\n\r\n\r\nIt just works fine.", "It seems that everything is in a mass huh....\r\n\r\n\r\n", "https://huggingface.co./datasets/rajpurkar/squad/blob/main/squad.py fails again", "https://github.com/huggingface/datasets/blob/main/templates/new_dataset_script.py#L81 can not use this, too complex. I just need a def to load my file to a dict", "I am facing the same issue. Did you find a fix?" ]

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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6957). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005371 / 0.011353 (-0.005982) | 0.003834 / 0.011008 (-0.007174) | 0.063032 / 0.038508 (0.024524) | 0.031623 / 0.023109 (0.008514) | 0.250008 / 0.275898 (-0.025890) | 0.273998 / 0.323480 (-0.049482) | 0.004114 / 0.007986 (-0.003871) | 0.002821 / 0.004328 (-0.001508) | 0.049470 / 0.004250 (0.045220) | 0.046586 / 0.037052 (0.009534) | 0.276807 / 0.258489 (0.018318) | 0.288607 / 0.293841 (-0.005234) | 0.027427 / 0.128546 (-0.101119) | 0.010634 / 0.075646 (-0.065012) | 0.202451 / 0.419271 (-0.216821) | 0.036346 / 0.043533 (-0.007187) | 0.250426 / 0.255139 (-0.004713) | 0.274104 / 0.283200 (-0.009096) | 0.018461 / 0.141683 (-0.123222) | 1.120326 / 1.452155 (-0.331829) | 1.157635 / 1.492716 (-0.335081) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.102287 / 0.018006 (0.084281) | 0.313145 / 0.000490 (0.312655) | 0.000255 / 0.000200 (0.000055) | 0.000044 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019494 / 0.037411 (-0.017917) | 0.063252 / 0.014526 (0.048727) | 0.075318 / 0.176557 (-0.101239) | 0.122194 / 0.737135 (-0.614942) | 0.076837 / 0.296338 (-0.219501) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.284098 / 0.215209 (0.068889) | 2.822301 / 2.077655 (0.744647) | 1.490185 / 1.504120 (-0.013935) | 1.366723 / 1.541195 (-0.174472) | 1.398832 / 1.468490 (-0.069658) | 0.563661 / 4.584777 (-4.021116) | 2.385129 / 3.745712 (-1.360583) | 2.689823 / 5.269862 (-2.580039) | 1.731271 / 4.565676 (-2.834405) | 0.063351 / 0.424275 (-0.360924) | 0.004974 / 0.007607 (-0.002633) | 0.332163 / 0.226044 (0.106119) | 3.314906 / 2.268929 (1.045977) | 1.811331 / 55.444624 (-53.633294) | 1.513357 / 6.876477 (-5.363120) | 1.718454 / 2.142072 (-0.423618) | 0.639663 / 4.805227 (-4.165564) | 0.120377 / 6.500664 (-6.380287) | 0.043254 / 0.075469 (-0.032215) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.978534 / 1.841788 (-0.863253) | 11.622313 / 8.074308 (3.548005) | 9.608732 / 10.191392 (-0.582660) | 0.131339 / 0.680424 (-0.549085) | 0.015226 / 0.534201 (-0.518975) | 0.287317 / 0.579283 (-0.291966) | 0.266647 / 0.434364 (-0.167717) | 0.324243 / 0.540337 (-0.216094) | 0.442025 / 1.386936 (-0.944911) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005673 / 0.011353 (-0.005680) | 0.003722 / 0.011008 (-0.007286) | 0.049483 / 0.038508 (0.010975) | 0.033308 / 0.023109 (0.010199) | 0.261912 / 0.275898 (-0.013986) | 0.291151 / 0.323480 (-0.032329) | 0.004389 / 0.007986 (-0.003596) | 0.002762 / 0.004328 (-0.001567) | 0.048970 / 0.004250 (0.044719) | 0.041509 / 0.037052 (0.004457) | 0.273288 / 0.258489 (0.014798) | 0.308351 / 0.293841 (0.014510) | 0.029958 / 0.128546 (-0.098589) | 0.010500 / 0.075646 (-0.065146) | 0.058253 / 0.419271 (-0.361019) | 0.033820 / 0.043533 (-0.009713) | 0.261089 / 0.255139 (0.005950) | 0.282179 / 0.283200 (-0.001021) | 0.018543 / 0.141683 (-0.123140) | 1.121303 / 1.452155 (-0.330852) | 1.166141 / 1.492716 (-0.326575) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.099209 / 0.018006 (0.081203) | 0.316920 / 0.000490 (0.316430) | 0.000216 / 0.000200 (0.000016) | 0.000044 / 0.000054 (-0.000010) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023339 / 0.037411 (-0.014072) | 0.077127 / 0.014526 (0.062602) | 0.088160 / 0.176557 (-0.088396) | 0.129449 / 0.737135 (-0.607686) | 0.093159 / 0.296338 (-0.203180) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.281262 / 0.215209 (0.066053) | 2.797504 / 2.077655 (0.719850) | 1.513354 / 1.504120 (0.009234) | 1.383034 / 1.541195 (-0.158161) | 1.395202 / 1.468490 (-0.073288) | 0.563180 / 4.584777 (-4.021597) | 0.979330 / 3.745712 (-2.766383) | 2.674008 / 5.269862 (-2.595853) | 1.762174 / 4.565676 (-2.803502) | 0.062333 / 0.424275 (-0.361942) | 0.004991 / 0.007607 (-0.002616) | 0.336043 / 0.226044 (0.109999) | 3.313500 / 2.268929 (1.044571) | 1.848083 / 55.444624 (-53.596541) | 1.554723 / 6.876477 (-5.321754) | 1.743485 / 2.142072 (-0.398587) | 0.657117 / 4.805227 (-4.148111) | 0.115736 / 6.500664 (-6.384928) | 0.040527 / 0.075469 (-0.034942) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.005876 / 1.841788 (-0.835911) | 12.525895 / 8.074308 (4.451587) | 10.492961 / 10.191392 (0.301569) | 0.143443 / 0.680424 (-0.536981) | 0.016652 / 0.534201 (-0.517548) | 0.288236 / 0.579283 (-0.291047) | 0.131401 / 0.434364 (-0.302963) | 0.322885 / 0.540337 (-0.217452) | 0.416048 / 1.386936 (-0.970888) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#6548e0e282aeeda7bfb18beafbc65ebecd780c63 \"CML watermark\")\n" ]

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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6956). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005348 / 0.011353 (-0.006005) | 0.003785 / 0.011008 (-0.007223) | 0.061674 / 0.038508 (0.023166) | 0.032127 / 0.023109 (0.009017) | 0.247095 / 0.275898 (-0.028803) | 0.276466 / 0.323480 (-0.047014) | 0.004197 / 0.007986 (-0.003789) | 0.002734 / 0.004328 (-0.001594) | 0.049604 / 0.004250 (0.045354) | 0.048553 / 0.037052 (0.011500) | 0.253230 / 0.258489 (-0.005259) | 0.286954 / 0.293841 (-0.006887) | 0.028181 / 0.128546 (-0.100365) | 0.010602 / 0.075646 (-0.065044) | 0.200719 / 0.419271 (-0.218552) | 0.037278 / 0.043533 (-0.006254) | 0.251565 / 0.255139 (-0.003574) | 0.269026 / 0.283200 (-0.014174) | 0.017632 / 0.141683 (-0.124050) | 1.136216 / 1.452155 (-0.315939) | 1.181158 / 1.492716 (-0.311559) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.004892 / 0.018006 (-0.013114) | 0.312921 / 0.000490 (0.312431) | 0.000247 / 0.000200 (0.000047) | 0.000054 / 0.000054 (-0.000000) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019303 / 0.037411 (-0.018108) | 0.062699 / 0.014526 (0.048174) | 0.075227 / 0.176557 (-0.101329) | 0.122919 / 0.737135 (-0.614217) | 0.076506 / 0.296338 (-0.219833) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.277299 / 0.215209 (0.062090) | 2.754771 / 2.077655 (0.677116) | 1.457164 / 1.504120 (-0.046956) | 1.318878 / 1.541195 (-0.222317) | 1.374245 / 1.468490 (-0.094245) | 0.566253 / 4.584777 (-4.018524) | 2.352589 / 3.745712 (-1.393123) | 2.764263 / 5.269862 (-2.505599) | 1.843141 / 4.565676 (-2.722535) | 0.063996 / 0.424275 (-0.360279) | 0.005045 / 0.007607 (-0.002562) | 0.336703 / 0.226044 (0.110658) | 3.342538 / 2.268929 (1.073609) | 1.836664 / 55.444624 (-53.607960) | 1.528901 / 6.876477 (-5.347576) | 1.769562 / 2.142072 (-0.372511) | 0.674192 / 4.805227 (-4.131035) | 0.122421 / 6.500664 (-6.378243) | 0.043714 / 0.075469 (-0.031756) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.989432 / 1.841788 (-0.852356) | 12.178341 / 8.074308 (4.104033) | 9.730838 / 10.191392 (-0.460554) | 0.146751 / 0.680424 (-0.533673) | 0.014720 / 0.534201 (-0.519481) | 0.285821 / 0.579283 (-0.293462) | 0.266474 / 0.434364 (-0.167889) | 0.327886 / 0.540337 (-0.212451) | 0.455672 / 1.386936 (-0.931264) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005691 / 0.011353 (-0.005662) | 0.004089 / 0.011008 (-0.006919) | 0.049878 / 0.038508 (0.011370) | 0.033578 / 0.023109 (0.010469) | 0.268295 / 0.275898 (-0.007603) | 0.288918 / 0.323480 (-0.034561) | 0.005092 / 0.007986 (-0.002894) | 0.002916 / 0.004328 (-0.001412) | 0.049489 / 0.004250 (0.045239) | 0.042495 / 0.037052 (0.005442) | 0.276253 / 0.258489 (0.017764) | 0.313321 / 0.293841 (0.019480) | 0.029386 / 0.128546 (-0.099160) | 0.010926 / 0.075646 (-0.064720) | 0.071747 / 0.419271 (-0.347525) | 0.033642 / 0.043533 (-0.009891) | 0.264950 / 0.255139 (0.009811) | 0.282962 / 0.283200 (-0.000238) | 0.018878 / 0.141683 (-0.122805) | 1.170685 / 1.452155 (-0.281470) | 1.198321 / 1.492716 (-0.294396) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.100422 / 0.018006 (0.082415) | 0.311750 / 0.000490 (0.311260) | 0.000235 / 0.000200 (0.000035) | 0.000063 / 0.000054 (0.000008) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023093 / 0.037411 (-0.014318) | 0.076934 / 0.014526 (0.062408) | 0.088959 / 0.176557 (-0.087598) | 0.129511 / 0.737135 (-0.607624) | 0.090151 / 0.296338 (-0.206187) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.301646 / 0.215209 (0.086437) | 2.961780 / 2.077655 (0.884126) | 1.656051 / 1.504120 (0.151931) | 1.533154 / 1.541195 (-0.008041) | 1.585152 / 1.468490 (0.116662) | 0.582157 / 4.584777 (-4.002620) | 0.954881 / 3.745712 (-2.790831) | 2.813174 / 5.269862 (-2.456688) | 1.842840 / 4.565676 (-2.722837) | 0.065598 / 0.424275 (-0.358677) | 0.005306 / 0.007607 (-0.002301) | 0.359610 / 0.226044 (0.133565) | 3.575320 / 2.268929 (1.306391) | 2.015327 / 55.444624 (-53.429297) | 1.734086 / 6.876477 (-5.142391) | 1.919081 / 2.142072 (-0.222991) | 0.671178 / 4.805227 (-4.134049) | 0.120109 / 6.500664 (-6.380555) | 0.042353 / 0.075469 (-0.033116) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.011726 / 1.841788 (-0.830062) | 13.007806 / 8.074308 (4.933498) | 10.632486 / 10.191392 (0.441094) | 0.148535 / 0.680424 (-0.531889) | 0.015988 / 0.534201 (-0.518213) | 0.290023 / 0.579283 (-0.289260) | 0.130685 / 0.434364 (-0.303679) | 0.322912 / 0.540337 (-0.217425) | 0.420596 / 1.386936 (-0.966340) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#336512dcba4fdb4c349d5ecb632b6ced80e038d5 \"CML watermark\")\n" ]

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[ "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005507 / 0.011353 (-0.005845) | 0.003757 / 0.011008 (-0.007251) | 0.063274 / 0.038508 (0.024766) | 0.029720 / 0.023109 (0.006610) | 0.247974 / 0.275898 (-0.027924) | 0.272283 / 0.323480 (-0.051197) | 0.004186 / 0.007986 (-0.003799) | 0.002820 / 0.004328 (-0.001508) | 0.049070 / 0.004250 (0.044820) | 0.050026 / 0.037052 (0.012973) | 0.256501 / 0.258489 (-0.001988) | 0.297082 / 0.293841 (0.003241) | 0.028549 / 0.128546 (-0.099997) | 0.010361 / 0.075646 (-0.065285) | 0.213202 / 0.419271 (-0.206070) | 0.038117 / 0.043533 (-0.005416) | 0.258878 / 0.255139 (0.003739) | 0.282980 / 0.283200 (-0.000220) | 0.018911 / 0.141683 (-0.122772) | 1.118857 / 1.452155 (-0.333298) | 1.157763 / 1.492716 (-0.334953) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.004499 / 0.018006 (-0.013507) | 0.310445 / 0.000490 (0.309956) | 0.000218 / 0.000200 (0.000018) | 0.000044 / 0.000054 (-0.000010) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019275 / 0.037411 (-0.018137) | 0.063257 / 0.014526 (0.048731) | 0.075833 / 0.176557 (-0.100724) | 0.122323 / 0.737135 (-0.614812) | 0.079046 / 0.296338 (-0.217292) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.292811 / 0.215209 (0.077602) | 2.903501 / 2.077655 (0.825846) | 1.592434 / 1.504120 (0.088314) | 1.450833 / 1.541195 (-0.090362) | 1.481285 / 1.468490 (0.012795) | 0.570150 / 4.584777 (-4.014627) | 2.388618 / 3.745712 (-1.357094) | 2.699322 / 5.269862 (-2.570540) | 1.781405 / 4.565676 (-2.784272) | 0.063451 / 0.424275 (-0.360824) | 0.004979 / 0.007607 (-0.002628) | 0.353346 / 0.226044 (0.127302) | 3.541217 / 2.268929 (1.272289) | 1.972335 / 55.444624 (-53.472289) | 1.634780 / 6.876477 (-5.241697) | 1.815944 / 2.142072 (-0.326128) | 0.651559 / 4.805227 (-4.153669) | 0.118398 / 6.500664 (-6.382266) | 0.041962 / 0.075469 (-0.033507) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.971435 / 1.841788 (-0.870352) | 11.843740 / 8.074308 (3.769431) | 9.716333 / 10.191392 (-0.475059) | 0.145923 / 0.680424 (-0.534501) | 0.015073 / 0.534201 (-0.519128) | 0.293307 / 0.579283 (-0.285976) | 0.265505 / 0.434364 (-0.168859) | 0.327578 / 0.540337 (-0.212760) | 0.436409 / 1.386936 (-0.950527) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005647 / 0.011353 (-0.005706) | 0.003669 / 0.011008 (-0.007339) | 0.050234 / 0.038508 (0.011726) | 0.033033 / 0.023109 (0.009924) | 0.269303 / 0.275898 (-0.006595) | 0.282472 / 0.323480 (-0.041008) | 0.004283 / 0.007986 (-0.003703) | 0.002821 / 0.004328 (-0.001507) | 0.050887 / 0.004250 (0.046637) | 0.041618 / 0.037052 (0.004565) | 0.277628 / 0.258489 (0.019139) | 0.310539 / 0.293841 (0.016698) | 0.030036 / 0.128546 (-0.098511) | 0.010401 / 0.075646 (-0.065245) | 0.058845 / 0.419271 (-0.360427) | 0.033676 / 0.043533 (-0.009857) | 0.261148 / 0.255139 (0.006009) | 0.295232 / 0.283200 (0.012032) | 0.018603 / 0.141683 (-0.123080) | 1.132182 / 1.452155 (-0.319972) | 1.173763 / 1.492716 (-0.318953) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.100594 / 0.018006 (0.082588) | 0.308101 / 0.000490 (0.307611) | 0.000217 / 0.000200 (0.000017) | 0.000055 / 0.000054 (0.000000) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023040 / 0.037411 (-0.014371) | 0.080676 / 0.014526 (0.066150) | 0.094687 / 0.176557 (-0.081870) | 0.129780 / 0.737135 (-0.607356) | 0.092241 / 0.296338 (-0.204097) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.294799 / 0.215209 (0.079590) | 2.957570 / 2.077655 (0.879915) | 1.576795 / 1.504120 (0.072675) | 1.446869 / 1.541195 (-0.094326) | 1.463133 / 1.468490 (-0.005357) | 0.568511 / 4.584777 (-4.016266) | 1.011502 / 3.745712 (-2.734211) | 2.759571 / 5.269862 (-2.510291) | 1.771738 / 4.565676 (-2.793939) | 0.064104 / 0.424275 (-0.360171) | 0.005160 / 0.007607 (-0.002448) | 0.347554 / 0.226044 (0.121510) | 3.463905 / 2.268929 (1.194976) | 1.931843 / 55.444624 (-53.512781) | 1.622765 / 6.876477 (-5.253712) | 1.809146 / 2.142072 (-0.332926) | 0.653388 / 4.805227 (-4.151839) | 0.122703 / 6.500664 (-6.377961) | 0.041680 / 0.075469 (-0.033790) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.000428 / 1.841788 (-0.841359) | 12.503003 / 8.074308 (4.428695) | 10.434802 / 10.191392 (0.243410) | 0.144684 / 0.680424 (-0.535740) | 0.015988 / 0.534201 (-0.518213) | 0.287179 / 0.579283 (-0.292104) | 0.124811 / 0.434364 (-0.309553) | 0.327855 / 0.540337 (-0.212482) | 0.425144 / 1.386936 (-0.961792) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#f7170067f819222153fcd45682db61279bdfe673 \"CML watermark\")\n" ]

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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6954). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "yay! 🎉 ", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.004881 / 0.011353 (-0.006472) | 0.003246 / 0.011008 (-0.007762) | 0.062496 / 0.038508 (0.023988) | 0.030760 / 0.023109 (0.007651) | 0.241500 / 0.275898 (-0.034398) | 0.272073 / 0.323480 (-0.051407) | 0.004123 / 0.007986 (-0.003863) | 0.002796 / 0.004328 (-0.001533) | 0.049015 / 0.004250 (0.044764) | 0.047095 / 0.037052 (0.010043) | 0.257002 / 0.258489 (-0.001487) | 0.287602 / 0.293841 (-0.006239) | 0.027281 / 0.128546 (-0.101265) | 0.010132 / 0.075646 (-0.065514) | 0.203699 / 0.419271 (-0.215572) | 0.036553 / 0.043533 (-0.006980) | 0.246221 / 0.255139 (-0.008918) | 0.268137 / 0.283200 (-0.015062) | 0.017260 / 0.141683 (-0.124423) | 1.100677 / 1.452155 (-0.351478) | 1.148367 / 1.492716 (-0.344349) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.102519 / 0.018006 (0.084513) | 0.301929 / 0.000490 (0.301439) | 0.000223 / 0.000200 (0.000023) | 0.000046 / 0.000054 (-0.000009) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.018590 / 0.037411 (-0.018821) | 0.061615 / 0.014526 (0.047089) | 0.074579 / 0.176557 (-0.101978) | 0.121415 / 0.737135 (-0.615720) | 0.075696 / 0.296338 (-0.220642) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.283842 / 0.215209 (0.068633) | 2.788321 / 2.077655 (0.710666) | 1.481376 / 1.504120 (-0.022743) | 1.356064 / 1.541195 (-0.185131) | 1.380592 / 1.468490 (-0.087898) | 0.575577 / 4.584777 (-4.009199) | 2.471858 / 3.745712 (-1.273854) | 2.760769 / 5.269862 (-2.509093) | 1.808638 / 4.565676 (-2.757038) | 0.064930 / 0.424275 (-0.359345) | 0.005056 / 0.007607 (-0.002551) | 0.337794 / 0.226044 (0.111750) | 3.359444 / 2.268929 (1.090515) | 1.829540 / 55.444624 (-53.615084) | 1.518660 / 6.876477 (-5.357817) | 1.671612 / 2.142072 (-0.470460) | 0.664286 / 4.805227 (-4.140941) | 0.119593 / 6.500664 (-6.381071) | 0.042519 / 0.075469 (-0.032950) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.993152 / 1.841788 (-0.848636) | 11.733054 / 8.074308 (3.658746) | 9.746734 / 10.191392 (-0.444658) | 0.143026 / 0.680424 (-0.537398) | 0.014900 / 0.534201 (-0.519301) | 0.292243 / 0.579283 (-0.287040) | 0.261301 / 0.434364 (-0.173063) | 0.330838 / 0.540337 (-0.209500) | 0.523719 / 1.386936 (-0.863217) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005707 / 0.011353 (-0.005646) | 0.003523 / 0.011008 (-0.007485) | 0.052265 / 0.038508 (0.013757) | 0.034296 / 0.023109 (0.011187) | 0.266589 / 0.275898 (-0.009309) | 0.288441 / 0.323480 (-0.035039) | 0.004507 / 0.007986 (-0.003478) | 0.002745 / 0.004328 (-0.001583) | 0.049417 / 0.004250 (0.045167) | 0.042679 / 0.037052 (0.005627) | 0.278518 / 0.258489 (0.020029) | 0.328751 / 0.293841 (0.034911) | 0.029530 / 0.128546 (-0.099016) | 0.010373 / 0.075646 (-0.065274) | 0.058207 / 0.419271 (-0.361064) | 0.033434 / 0.043533 (-0.010099) | 0.267902 / 0.255139 (0.012763) | 0.288192 / 0.283200 (0.004993) | 0.018866 / 0.141683 (-0.122817) | 1.132734 / 1.452155 (-0.319421) | 1.172879 / 1.492716 (-0.319837) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.097787 / 0.018006 (0.079780) | 0.305509 / 0.000490 (0.305019) | 0.000268 / 0.000200 (0.000068) | 0.000060 / 0.000054 (0.000006) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023230 / 0.037411 (-0.014181) | 0.076637 / 0.014526 (0.062111) | 0.088386 / 0.176557 (-0.088171) | 0.131079 / 0.737135 (-0.606057) | 0.091142 / 0.296338 (-0.205197) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.295586 / 0.215209 (0.080377) | 2.872090 / 2.077655 (0.794435) | 1.538152 / 1.504120 (0.034032) | 1.405695 / 1.541195 (-0.135500) | 1.421058 / 1.468490 (-0.047432) | 0.561179 / 4.584777 (-4.023598) | 0.943954 / 3.745712 (-2.801758) | 2.684381 / 5.269862 (-2.585481) | 1.757457 / 4.565676 (-2.808220) | 0.062903 / 0.424275 (-0.361372) | 0.004998 / 0.007607 (-0.002610) | 0.370290 / 0.226044 (0.144245) | 3.374988 / 2.268929 (1.106059) | 1.899282 / 55.444624 (-53.545342) | 1.598787 / 6.876477 (-5.277690) | 1.735371 / 2.142072 (-0.406702) | 0.647367 / 4.805227 (-4.157860) | 0.116975 / 6.500664 (-6.383689) | 0.040811 / 0.075469 (-0.034658) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.996380 / 1.841788 (-0.845408) | 12.225657 / 8.074308 (4.151349) | 10.291221 / 10.191392 (0.099829) | 0.142791 / 0.680424 (-0.537633) | 0.016087 / 0.534201 (-0.518114) | 0.299978 / 0.579283 (-0.279305) | 0.149444 / 0.434364 (-0.284920) | 0.321354 / 0.540337 (-0.218984) | 0.414492 / 1.386936 (-0.972444) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#a2dc287cbef5311cf1a32ad4e3685f4052db227c \"CML watermark\")\n" ]

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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6952). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005232 / 0.011353 (-0.006121) | 0.003744 / 0.011008 (-0.007264) | 0.064089 / 0.038508 (0.025581) | 0.032409 / 0.023109 (0.009300) | 0.255886 / 0.275898 (-0.020013) | 0.276033 / 0.323480 (-0.047447) | 0.004165 / 0.007986 (-0.003821) | 0.002741 / 0.004328 (-0.001588) | 0.052145 / 0.004250 (0.047894) | 0.043863 / 0.037052 (0.006811) | 0.258844 / 0.258489 (0.000355) | 0.290108 / 0.293841 (-0.003733) | 0.027390 / 0.128546 (-0.101156) | 0.010543 / 0.075646 (-0.065103) | 0.206936 / 0.419271 (-0.212335) | 0.036778 / 0.043533 (-0.006755) | 0.254331 / 0.255139 (-0.000808) | 0.279037 / 0.283200 (-0.004163) | 0.018564 / 0.141683 (-0.123119) | 1.112765 / 1.452155 (-0.339390) | 1.160099 / 1.492716 (-0.332617) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.092148 / 0.018006 (0.074142) | 0.297156 / 0.000490 (0.296667) | 0.000211 / 0.000200 (0.000011) | 0.000043 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.018797 / 0.037411 (-0.018615) | 0.062992 / 0.014526 (0.048466) | 0.076361 / 0.176557 (-0.100195) | 0.121168 / 0.737135 (-0.615968) | 0.075845 / 0.296338 (-0.220494) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.293842 / 0.215209 (0.078633) | 2.880720 / 2.077655 (0.803065) | 1.477779 / 1.504120 (-0.026341) | 1.345136 / 1.541195 (-0.196059) | 1.352153 / 1.468490 (-0.116337) | 0.574722 / 4.584777 (-4.010055) | 2.373925 / 3.745712 (-1.371787) | 2.750704 / 5.269862 (-2.519157) | 1.725979 / 4.565676 (-2.839697) | 0.063006 / 0.424275 (-0.361269) | 0.005019 / 0.007607 (-0.002588) | 0.341228 / 0.226044 (0.115184) | 3.352576 / 2.268929 (1.083647) | 1.821363 / 55.444624 (-53.623261) | 1.529441 / 6.876477 (-5.347036) | 1.543401 / 2.142072 (-0.598671) | 0.634282 / 4.805227 (-4.170945) | 0.115565 / 6.500664 (-6.385099) | 0.042514 / 0.075469 (-0.032956) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.987532 / 1.841788 (-0.854255) | 11.483853 / 8.074308 (3.409545) | 9.565657 / 10.191392 (-0.625735) | 0.141247 / 0.680424 (-0.539176) | 0.015026 / 0.534201 (-0.519175) | 0.299905 / 0.579283 (-0.279378) | 0.267667 / 0.434364 (-0.166697) | 0.320661 / 0.540337 (-0.219676) | 0.427368 / 1.386936 (-0.959568) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005448 / 0.011353 (-0.005905) | 0.003726 / 0.011008 (-0.007283) | 0.049776 / 0.038508 (0.011268) | 0.032733 / 0.023109 (0.009624) | 0.261387 / 0.275898 (-0.014511) | 0.280087 / 0.323480 (-0.043393) | 0.004351 / 0.007986 (-0.003634) | 0.002842 / 0.004328 (-0.001487) | 0.049440 / 0.004250 (0.045190) | 0.039585 / 0.037052 (0.002533) | 0.266331 / 0.258489 (0.007842) | 0.299643 / 0.293841 (0.005802) | 0.029649 / 0.128546 (-0.098897) | 0.010381 / 0.075646 (-0.065265) | 0.058596 / 0.419271 (-0.360676) | 0.033271 / 0.043533 (-0.010262) | 0.251070 / 0.255139 (-0.004069) | 0.272850 / 0.283200 (-0.010349) | 0.016728 / 0.141683 (-0.124955) | 1.146952 / 1.452155 (-0.305202) | 1.182602 / 1.492716 (-0.310114) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.091673 / 0.018006 (0.073667) | 0.297228 / 0.000490 (0.296738) | 0.000197 / 0.000200 (-0.000003) | 0.000051 / 0.000054 (-0.000003) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023174 / 0.037411 (-0.014237) | 0.078866 / 0.014526 (0.064341) | 0.088436 / 0.176557 (-0.088121) | 0.129650 / 0.737135 (-0.607485) | 0.091100 / 0.296338 (-0.205238) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.293882 / 0.215209 (0.078673) | 2.882667 / 2.077655 (0.805012) | 1.562949 / 1.504120 (0.058829) | 1.435104 / 1.541195 (-0.106090) | 1.450815 / 1.468490 (-0.017675) | 0.584090 / 4.584777 (-4.000687) | 0.984176 / 3.745712 (-2.761536) | 2.668740 / 5.269862 (-2.601121) | 1.766993 / 4.565676 (-2.798683) | 0.064710 / 0.424275 (-0.359565) | 0.005329 / 0.007607 (-0.002278) | 0.346008 / 0.226044 (0.119964) | 3.414576 / 2.268929 (1.145647) | 1.911388 / 55.444624 (-53.533236) | 1.660357 / 6.876477 (-5.216120) | 1.818628 / 2.142072 (-0.323444) | 0.659585 / 4.805227 (-4.145643) | 0.116980 / 6.500664 (-6.383684) | 0.041364 / 0.075469 (-0.034105) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.005659 / 1.841788 (-0.836129) | 12.023761 / 8.074308 (3.949453) | 10.351086 / 10.191392 (0.159694) | 0.143261 / 0.680424 (-0.537162) | 0.016143 / 0.534201 (-0.518058) | 0.287793 / 0.579283 (-0.291490) | 0.123698 / 0.434364 (-0.310666) | 0.325241 / 0.540337 (-0.215097) | 0.418772 / 1.386936 (-0.968164) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#37a603679f451826cfafd8aae00738b01dcb9d58 \"CML watermark\")\n" ]

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[ "@xianbaoqian " ]

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[ "Hi ! It seems the documentation was outdated in this paragraph\r\n\r\nI fixed it here: https://github.com/huggingface/datasets/pull/6956" ]

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[ "Hi, @lion-ops.\r\n\r\nIn our Continuous Integration we have many tests on loading JSON files and all of them work properly.\r\n\r\nCould you please share your \"train.json\" file, so that we can try to reproduce the issue you have? ", "> Hi, @lion-ops.\r\n> \r\n> In our Continuous Integration we have many tests on loading JSON files and all of them work properly.\r\n> \r\n> Could you please share your \"train.json\" file, so that we can try to reproduce the issue you have?\r\n\r\nThank you for your reply. I can load it normally in another server. Is it possible that the disk of my server is a network disk in the LAN, so it will be downloaded from the LAN and get stuck?" ]

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[ "same problem here", "Hello,\r\n\r\nAre you sure you are really using datasets version 2.19.2? We just made the patch release yesterday specifically to fix this issue:\r\n- #6925\r\n\r\nI can't reproduce the error:\r\n```python\r\nIn [1]: from datasets import load_dataset\r\n\r\nIn [2]: ds = load_dataset('allenai/c4', data_files={'validation': 'en/c4-validation.00003-of-00008.json.gz'}, split='validation')\r\nDownloading readme: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 41.1k/41.1k [00:00<00:00, 596kB/s]\r\nDownloading data: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 40.7M/40.7M [00:04<00:00, 8.50MB/s]\r\nGenerating validation split: 45576 examples [00:01, 44956.75 examples/s]\r\n\r\nIn [3]: ds\r\nOut[3]: \r\nDataset({\r\n features: ['text', 'timestamp', 'url'],\r\n num_rows: 45576\r\n})\r\n```", "> Hello,\r\n> \r\n> Are you sure you are really using datasets version 2.19.2? We just made the patch release yesterday specifically to fix this issue:\r\n> \r\n> * [Fix NonMatchingSplitsSizesError/ExpectedMoreSplits when passing data_dir/data_files in no-code Hub datasets #6925](https://github.com/huggingface/datasets/pull/6925)\r\n> \r\n> I can't reproduce the error:\r\n> \r\n> ```python\r\n> In [1]: from datasets import load_dataset\r\n> \r\n> In [2]: ds = load_dataset('allenai/c4', data_files={'validation': 'en/c4-validation.00003-of-00008.json.gz'}, split='validation')\r\n> Downloading readme: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 41.1k/41.1k [00:00<00:00, 596kB/s]\r\n> Downloading data: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 40.7M/40.7M [00:04<00:00, 8.50MB/s]\r\n> Generating validation split: 45576 examples [00:01, 44956.75 examples/s]\r\n> \r\n> In [3]: ds\r\n> Out[3]: \r\n> Dataset({\r\n> features: ['text', 'timestamp', 'url'],\r\n> num_rows: 45576\r\n> })\r\n> ```\r\nThank you for your reply,ExpectedMoreSplits was encountered in datasets version 2.12.2. After I updated the version, that is, datasets version 2.19.2, I encountered the FileNotFoundError problem mentioned above.", "That might be due to a corrupted cache.\r\n\r\nPlease, retry loading the dataset passing: `download_mode=\"force_redownload\"`\r\n```python\r\nds = load_dataset('allenai/c4', data_files={'validation': 'en/c4-validation.00003-of-00008.json.gz'}, split='validation', download_mode=\"force_redownload\")\r\n```\r\n\r\nIt the above command does not fix the issue, then you will need to fix the cache manually, by removing the corresponding directory inside `~/.cache/huggingface/`.\r\n", "> That might be due to a corrupted cache.\r\n> \r\n> Please, retry loading the dataset passing: `download_mode=\"force_redownload\"`\r\n> \r\n> ```python\r\n> ds = load_dataset('allenai/c4', data_files={'validation': 'en/c4-validation.00003-of-00008.json.gz'}, split='validation', download_mode=\"force_redownload\")\r\n> ```\r\n> \r\n> It the above command does not fix the issue, then you will need to fix the cache manually, by removing the corresponding directory inside `~/.cache/huggingface/`.\r\n\r\nThe two methods you mentioned above can not solve this problem, but the command line interface shows Downloading readme: 41.1kB [00:00, 281kB/s], and then FileNotFoundError appears. It is worth noting that I have no problem loading other datasets with the initial method, such as wikitext datasets" ]

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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6946). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.004847 / 0.011353 (-0.006506) | 0.003199 / 0.011008 (-0.007810) | 0.060677 / 0.038508 (0.022169) | 0.030544 / 0.023109 (0.007435) | 0.240870 / 0.275898 (-0.035028) | 0.261320 / 0.323480 (-0.062160) | 0.002816 / 0.007986 (-0.005170) | 0.002483 / 0.004328 (-0.001845) | 0.048527 / 0.004250 (0.044277) | 0.045496 / 0.037052 (0.008444) | 0.251296 / 0.258489 (-0.007193) | 0.285746 / 0.293841 (-0.008095) | 0.025076 / 0.128546 (-0.103470) | 0.009417 / 0.075646 (-0.066229) | 0.191361 / 0.419271 (-0.227911) | 0.033778 / 0.043533 (-0.009755) | 0.235581 / 0.255139 (-0.019558) | 0.261069 / 0.283200 (-0.022131) | 0.018255 / 0.141683 (-0.123428) | 1.098437 / 1.452155 (-0.353718) | 1.127124 / 1.492716 (-0.365592) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.004479 / 0.018006 (-0.013527) | 0.283706 / 0.000490 (0.283216) | 0.000214 / 0.000200 (0.000014) | 0.000043 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.018364 / 0.037411 (-0.019048) | 0.058398 / 0.014526 (0.043872) | 0.073056 / 0.176557 (-0.103501) | 0.117147 / 0.737135 (-0.619989) | 0.073683 / 0.296338 (-0.222656) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.265121 / 0.215209 (0.049912) | 2.636981 / 2.077655 (0.559327) | 1.380192 / 1.504120 (-0.123928) | 1.270779 / 1.541195 (-0.270416) | 1.295729 / 1.468490 (-0.172762) | 0.523768 / 4.584777 (-4.061009) | 2.295720 / 3.745712 (-1.449992) | 2.519211 / 5.269862 (-2.750650) | 1.618712 / 4.565676 (-2.946965) | 0.058321 / 0.424275 (-0.365954) | 0.004492 / 0.007607 (-0.003115) | 0.316101 / 0.226044 (0.090057) | 3.169913 / 2.268929 (0.900984) | 1.793412 / 55.444624 (-53.651213) | 1.473784 / 6.876477 (-5.402693) | 1.565325 / 2.142072 (-0.576748) | 0.592734 / 4.805227 (-4.212493) | 0.109333 / 6.500664 (-6.391331) | 0.039063 / 0.075469 (-0.036406) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.935504 / 1.841788 (-0.906284) | 10.865520 / 8.074308 (2.791212) | 9.219337 / 10.191392 (-0.972055) | 0.135284 / 0.680424 (-0.545140) | 0.013664 / 0.534201 (-0.520537) | 0.271601 / 0.579283 (-0.307682) | 0.260456 / 0.434364 (-0.173908) | 0.302931 / 0.540337 (-0.237406) | 0.414643 / 1.386936 (-0.972293) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.004801 / 0.011353 (-0.006552) | 0.003092 / 0.011008 (-0.007917) | 0.046471 / 0.038508 (0.007963) | 0.031337 / 0.023109 (0.008228) | 0.258920 / 0.275898 (-0.016978) | 0.269842 / 0.323480 (-0.053638) | 0.003976 / 0.007986 (-0.004009) | 0.002661 / 0.004328 (-0.001668) | 0.045676 / 0.004250 (0.041426) | 0.038199 / 0.037052 (0.001146) | 0.277382 / 0.258489 (0.018893) | 0.289351 / 0.293841 (-0.004490) | 0.028452 / 0.128546 (-0.100094) | 0.009737 / 0.075646 (-0.065910) | 0.055201 / 0.419271 (-0.364071) | 0.032686 / 0.043533 (-0.010847) | 0.259617 / 0.255139 (0.004478) | 0.277163 / 0.283200 (-0.006037) | 0.017825 / 0.141683 (-0.123858) | 1.102797 / 1.452155 (-0.349357) | 1.105018 / 1.492716 (-0.387699) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.094844 / 0.018006 (0.076838) | 0.290519 / 0.000490 (0.290029) | 0.000211 / 0.000200 (0.000012) | 0.000050 / 0.000054 (-0.000004) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.021917 / 0.037411 (-0.015494) | 0.075278 / 0.014526 (0.060753) | 0.085971 / 0.176557 (-0.090586) | 0.127072 / 0.737135 (-0.610063) | 0.088244 / 0.296338 (-0.208095) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.276704 / 0.215209 (0.061495) | 2.736960 / 2.077655 (0.659305) | 1.519634 / 1.504120 (0.015514) | 1.403026 / 1.541195 (-0.138168) | 1.418465 / 1.468490 (-0.050025) | 0.552425 / 4.584777 (-4.032352) | 0.955244 / 3.745712 (-2.790468) | 2.556563 / 5.269862 (-2.713298) | 1.705095 / 4.565676 (-2.860582) | 0.061212 / 0.424275 (-0.363063) | 0.004707 / 0.007607 (-0.002900) | 0.326284 / 0.226044 (0.100239) | 3.253911 / 2.268929 (0.984983) | 1.868649 / 55.444624 (-53.575976) | 1.598697 / 6.876477 (-5.277780) | 1.682617 / 2.142072 (-0.459455) | 0.606379 / 4.805227 (-4.198848) | 0.114126 / 6.500664 (-6.386538) | 0.038869 / 0.075469 (-0.036601) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.966354 / 1.841788 (-0.875433) | 11.575918 / 8.074308 (3.501609) | 9.816597 / 10.191392 (-0.374795) | 0.141492 / 0.680424 (-0.538932) | 0.015375 / 0.534201 (-0.518826) | 0.276027 / 0.579283 (-0.303256) | 0.118979 / 0.434364 (-0.315385) | 0.313467 / 0.540337 (-0.226870) | 0.403539 / 1.386936 (-0.983397) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#1b59c75856d765e60b66a5216062102d001c6612 \"CML watermark\")\n" ]

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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6945). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005725 / 0.011353 (-0.005627) | 0.003788 / 0.011008 (-0.007220) | 0.063059 / 0.038508 (0.024551) | 0.031364 / 0.023109 (0.008255) | 0.259209 / 0.275898 (-0.016689) | 0.278805 / 0.323480 (-0.044675) | 0.003032 / 0.007986 (-0.004953) | 0.002633 / 0.004328 (-0.001696) | 0.049804 / 0.004250 (0.045554) | 0.046717 / 0.037052 (0.009665) | 0.267246 / 0.258489 (0.008757) | 0.299271 / 0.293841 (0.005430) | 0.027687 / 0.128546 (-0.100860) | 0.010524 / 0.075646 (-0.065123) | 0.201736 / 0.419271 (-0.217536) | 0.036192 / 0.043533 (-0.007341) | 0.264492 / 0.255139 (0.009353) | 0.280809 / 0.283200 (-0.002391) | 0.018187 / 0.141683 (-0.123496) | 1.170751 / 1.452155 (-0.281404) | 1.223450 / 1.492716 (-0.269266) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.096610 / 0.018006 (0.078604) | 0.297122 / 0.000490 (0.296632) | 0.000211 / 0.000200 (0.000011) | 0.000046 / 0.000054 (-0.000008) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.018380 / 0.037411 (-0.019031) | 0.062214 / 0.014526 (0.047688) | 0.075833 / 0.176557 (-0.100723) | 0.121825 / 0.737135 (-0.615310) | 0.075475 / 0.296338 (-0.220864) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.275601 / 0.215209 (0.060392) | 2.698014 / 2.077655 (0.620359) | 1.434043 / 1.504120 (-0.070077) | 1.313217 / 1.541195 (-0.227978) | 1.339014 / 1.468490 (-0.129476) | 0.566703 / 4.584777 (-4.018074) | 2.367794 / 3.745712 (-1.377918) | 2.660787 / 5.269862 (-2.609074) | 1.738503 / 4.565676 (-2.827174) | 0.061693 / 0.424275 (-0.362582) | 0.004978 / 0.007607 (-0.002629) | 0.334719 / 0.226044 (0.108675) | 3.300889 / 2.268929 (1.031960) | 1.764493 / 55.444624 (-53.680131) | 1.475956 / 6.876477 (-5.400521) | 1.635988 / 2.142072 (-0.506084) | 0.643906 / 4.805227 (-4.161321) | 0.118002 / 6.500664 (-6.382662) | 0.042593 / 0.075469 (-0.032876) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.953511 / 1.841788 (-0.888276) | 11.489727 / 8.074308 (3.415419) | 9.775017 / 10.191392 (-0.416375) | 0.139864 / 0.680424 (-0.540560) | 0.014219 / 0.534201 (-0.519982) | 0.284389 / 0.579283 (-0.294894) | 0.264250 / 0.434364 (-0.170113) | 0.323471 / 0.540337 (-0.216866) | 0.415189 / 1.386936 (-0.971747) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005437 / 0.011353 (-0.005916) | 0.003710 / 0.011008 (-0.007298) | 0.049940 / 0.038508 (0.011432) | 0.032565 / 0.023109 (0.009456) | 0.266374 / 0.275898 (-0.009524) | 0.288069 / 0.323480 (-0.035411) | 0.004140 / 0.007986 (-0.003845) | 0.002669 / 0.004328 (-0.001660) | 0.049646 / 0.004250 (0.045395) | 0.040926 / 0.037052 (0.003874) | 0.278805 / 0.258489 (0.020316) | 0.311396 / 0.293841 (0.017555) | 0.029363 / 0.128546 (-0.099183) | 0.010260 / 0.075646 (-0.065386) | 0.058222 / 0.419271 (-0.361049) | 0.033063 / 0.043533 (-0.010470) | 0.266798 / 0.255139 (0.011659) | 0.283091 / 0.283200 (-0.000109) | 0.017904 / 0.141683 (-0.123779) | 1.139531 / 1.452155 (-0.312624) | 1.163909 / 1.492716 (-0.328808) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.089063 / 0.018006 (0.071057) | 0.296757 / 0.000490 (0.296268) | 0.000202 / 0.000200 (0.000002) | 0.000054 / 0.000054 (-0.000001) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022843 / 0.037411 (-0.014568) | 0.076032 / 0.014526 (0.061507) | 0.087545 / 0.176557 (-0.089012) | 0.128870 / 0.737135 (-0.608266) | 0.089359 / 0.296338 (-0.206980) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.285213 / 0.215209 (0.070004) | 2.854950 / 2.077655 (0.777295) | 1.539311 / 1.504120 (0.035191) | 1.413753 / 1.541195 (-0.127442) | 1.440819 / 1.468490 (-0.027671) | 0.564734 / 4.584777 (-4.020043) | 0.944924 / 3.745712 (-2.800788) | 2.703612 / 5.269862 (-2.566249) | 1.749429 / 4.565676 (-2.816247) | 0.063239 / 0.424275 (-0.361036) | 0.005024 / 0.007607 (-0.002583) | 0.340866 / 0.226044 (0.114821) | 3.359511 / 2.268929 (1.090582) | 1.895794 / 55.444624 (-53.548831) | 1.606613 / 6.876477 (-5.269864) | 1.756539 / 2.142072 (-0.385533) | 0.646553 / 4.805227 (-4.158675) | 0.121278 / 6.500664 (-6.379386) | 0.041066 / 0.075469 (-0.034403) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.005548 / 1.841788 (-0.836240) | 12.080103 / 8.074308 (4.005794) | 10.444822 / 10.191392 (0.253430) | 0.145024 / 0.680424 (-0.535400) | 0.015287 / 0.534201 (-0.518914) | 0.288567 / 0.579283 (-0.290716) | 0.118034 / 0.434364 (-0.316330) | 0.333474 / 0.540337 (-0.206864) | 0.421716 / 1.386936 (-0.965220) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#3d95159dbd918009e1ff710dba0cd15d96d4264e \"CML watermark\")\n" ]

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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6944). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005150 / 0.011353 (-0.006203) | 0.003663 / 0.011008 (-0.007346) | 0.062832 / 0.038508 (0.024324) | 0.031928 / 0.023109 (0.008819) | 0.246455 / 0.275898 (-0.029443) | 0.272121 / 0.323480 (-0.051359) | 0.004220 / 0.007986 (-0.003765) | 0.002756 / 0.004328 (-0.001573) | 0.050071 / 0.004250 (0.045821) | 0.046074 / 0.037052 (0.009022) | 0.259676 / 0.258489 (0.001187) | 0.290674 / 0.293841 (-0.003167) | 0.027822 / 0.128546 (-0.100724) | 0.010791 / 0.075646 (-0.064855) | 0.202827 / 0.419271 (-0.216445) | 0.037057 / 0.043533 (-0.006476) | 0.256128 / 0.255139 (0.000989) | 0.269422 / 0.283200 (-0.013777) | 0.017395 / 0.141683 (-0.124288) | 1.125919 / 1.452155 (-0.326236) | 1.177708 / 1.492716 (-0.315008) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.098466 / 0.018006 (0.080460) | 0.305508 / 0.000490 (0.305018) | 0.000232 / 0.000200 (0.000032) | 0.000043 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.018866 / 0.037411 (-0.018545) | 0.062079 / 0.014526 (0.047553) | 0.074670 / 0.176557 (-0.101886) | 0.121025 / 0.737135 (-0.616111) | 0.075883 / 0.296338 (-0.220455) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.291880 / 0.215209 (0.076671) | 2.874064 / 2.077655 (0.796409) | 1.477040 / 1.504120 (-0.027080) | 1.356198 / 1.541195 (-0.184997) | 1.354676 / 1.468490 (-0.113814) | 0.559731 / 4.584777 (-4.025046) | 2.362746 / 3.745712 (-1.382966) | 2.678838 / 5.269862 (-2.591024) | 1.752633 / 4.565676 (-2.813044) | 0.064023 / 0.424275 (-0.360252) | 0.005035 / 0.007607 (-0.002572) | 0.354807 / 0.226044 (0.128762) | 3.424463 / 2.268929 (1.155534) | 1.810476 / 55.444624 (-53.634149) | 1.519031 / 6.876477 (-5.357446) | 1.693957 / 2.142072 (-0.448116) | 0.647987 / 4.805227 (-4.157240) | 0.118993 / 6.500664 (-6.381671) | 0.042186 / 0.075469 (-0.033283) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.982565 / 1.841788 (-0.859223) | 11.645075 / 8.074308 (3.570767) | 9.588360 / 10.191392 (-0.603032) | 0.142369 / 0.680424 (-0.538055) | 0.014025 / 0.534201 (-0.520176) | 0.285668 / 0.579283 (-0.293616) | 0.265825 / 0.434364 (-0.168539) | 0.323371 / 0.540337 (-0.216966) | 0.421227 / 1.386936 (-0.965709) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005587 / 0.011353 (-0.005766) | 0.003664 / 0.011008 (-0.007345) | 0.050411 / 0.038508 (0.011903) | 0.033268 / 0.023109 (0.010159) | 0.266631 / 0.275898 (-0.009267) | 0.291135 / 0.323480 (-0.032345) | 0.004275 / 0.007986 (-0.003710) | 0.002822 / 0.004328 (-0.001506) | 0.049349 / 0.004250 (0.045099) | 0.040653 / 0.037052 (0.003601) | 0.282641 / 0.258489 (0.024152) | 0.315460 / 0.293841 (0.021619) | 0.029343 / 0.128546 (-0.099203) | 0.010606 / 0.075646 (-0.065040) | 0.058783 / 0.419271 (-0.360489) | 0.033205 / 0.043533 (-0.010327) | 0.266805 / 0.255139 (0.011666) | 0.288907 / 0.283200 (0.005707) | 0.017817 / 0.141683 (-0.123866) | 1.128132 / 1.452155 (-0.324023) | 1.175120 / 1.492716 (-0.317597) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.095653 / 0.018006 (0.077647) | 0.304825 / 0.000490 (0.304335) | 0.000212 / 0.000200 (0.000012) | 0.000045 / 0.000054 (-0.000010) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022766 / 0.037411 (-0.014645) | 0.076598 / 0.014526 (0.062072) | 0.088314 / 0.176557 (-0.088242) | 0.127888 / 0.737135 (-0.609247) | 0.090391 / 0.296338 (-0.205947) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.293384 / 0.215209 (0.078175) | 2.883742 / 2.077655 (0.806087) | 1.533868 / 1.504120 (0.029748) | 1.391964 / 1.541195 (-0.149231) | 1.423732 / 1.468490 (-0.044759) | 0.575457 / 4.584777 (-4.009320) | 0.970860 / 3.745712 (-2.774852) | 2.711405 / 5.269862 (-2.558457) | 1.774468 / 4.565676 (-2.791208) | 0.064611 / 0.424275 (-0.359664) | 0.005120 / 0.007607 (-0.002487) | 0.343892 / 0.226044 (0.117847) | 3.362579 / 2.268929 (1.093650) | 1.880200 / 55.444624 (-53.564424) | 1.587435 / 6.876477 (-5.289042) | 1.756464 / 2.142072 (-0.385609) | 0.661469 / 4.805227 (-4.143759) | 0.119030 / 6.500664 (-6.381634) | 0.041704 / 0.075469 (-0.033765) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.025008 / 1.841788 (-0.816780) | 12.146244 / 8.074308 (4.071936) | 10.397267 / 10.191392 (0.205875) | 0.145917 / 0.680424 (-0.534507) | 0.015779 / 0.534201 (-0.518422) | 0.287122 / 0.579283 (-0.292161) | 0.125464 / 0.434364 (-0.308900) | 0.323315 / 0.540337 (-0.217023) | 0.416761 / 1.386936 (-0.970175) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#e2d15a6b1871f3998986853298e4338d72891491 \"CML watermark\")\n" ]

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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6943). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update." ]

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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6938). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "fix is included in https://github.com/huggingface/datasets/pull/6925" ]

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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6934). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005218 / 0.011353 (-0.006135) | 0.003313 / 0.011008 (-0.007695) | 0.062992 / 0.038508 (0.024484) | 0.029621 / 0.023109 (0.006512) | 0.244421 / 0.275898 (-0.031477) | 0.267178 / 0.323480 (-0.056302) | 0.002986 / 0.007986 (-0.005000) | 0.002607 / 0.004328 (-0.001721) | 0.049149 / 0.004250 (0.044898) | 0.045362 / 0.037052 (0.008310) | 0.252862 / 0.258489 (-0.005627) | 0.286326 / 0.293841 (-0.007515) | 0.027888 / 0.128546 (-0.100658) | 0.010295 / 0.075646 (-0.065352) | 0.205525 / 0.419271 (-0.213746) | 0.036696 / 0.043533 (-0.006837) | 0.248716 / 0.255139 (-0.006423) | 0.263803 / 0.283200 (-0.019397) | 0.016926 / 0.141683 (-0.124757) | 1.123093 / 1.452155 (-0.329062) | 1.155434 / 1.492716 (-0.337282) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.092349 / 0.018006 (0.074343) | 0.298154 / 0.000490 (0.297664) | 0.000213 / 0.000200 (0.000013) | 0.000052 / 0.000054 (-0.000003) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.018496 / 0.037411 (-0.018915) | 0.061983 / 0.014526 (0.047457) | 0.075043 / 0.176557 (-0.101514) | 0.120678 / 0.737135 (-0.616457) | 0.074917 / 0.296338 (-0.221422) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.290558 / 0.215209 (0.075349) | 2.842635 / 2.077655 (0.764981) | 1.485761 / 1.504120 (-0.018359) | 1.346948 / 1.541195 (-0.194247) | 1.352424 / 1.468490 (-0.116066) | 0.564567 / 4.584777 (-4.020210) | 2.393583 / 3.745712 (-1.352129) | 2.654061 / 5.269862 (-2.615800) | 1.729154 / 4.565676 (-2.836523) | 0.064652 / 0.424275 (-0.359623) | 0.004973 / 0.007607 (-0.002634) | 0.334924 / 0.226044 (0.108879) | 3.330518 / 2.268929 (1.061590) | 1.773848 / 55.444624 (-53.670776) | 1.513796 / 6.876477 (-5.362681) | 1.676492 / 2.142072 (-0.465580) | 0.650551 / 4.805227 (-4.154677) | 0.118423 / 6.500664 (-6.382241) | 0.042700 / 0.075469 (-0.032769) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.943394 / 1.841788 (-0.898394) | 11.235766 / 8.074308 (3.161458) | 9.896586 / 10.191392 (-0.294806) | 0.130174 / 0.680424 (-0.550249) | 0.014148 / 0.534201 (-0.520053) | 0.284002 / 0.579283 (-0.295281) | 0.261354 / 0.434364 (-0.173010) | 0.320839 / 0.540337 (-0.219499) | 0.422399 / 1.386936 (-0.964537) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005496 / 0.011353 (-0.005857) | 0.003603 / 0.011008 (-0.007406) | 0.050104 / 0.038508 (0.011596) | 0.032939 / 0.023109 (0.009830) | 0.265643 / 0.275898 (-0.010255) | 0.291819 / 0.323480 (-0.031661) | 0.004273 / 0.007986 (-0.003713) | 0.002715 / 0.004328 (-0.001613) | 0.049191 / 0.004250 (0.044941) | 0.040782 / 0.037052 (0.003730) | 0.276562 / 0.258489 (0.018072) | 0.314307 / 0.293841 (0.020466) | 0.029878 / 0.128546 (-0.098669) | 0.010134 / 0.075646 (-0.065513) | 0.058686 / 0.419271 (-0.360585) | 0.033562 / 0.043533 (-0.009971) | 0.265961 / 0.255139 (0.010822) | 0.282009 / 0.283200 (-0.001191) | 0.018956 / 0.141683 (-0.122727) | 1.149668 / 1.452155 (-0.302487) | 1.192242 / 1.492716 (-0.300474) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.089449 / 0.018006 (0.071443) | 0.300346 / 0.000490 (0.299856) | 0.000198 / 0.000200 (-0.000001) | 0.000044 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022094 / 0.037411 (-0.015317) | 0.075987 / 0.014526 (0.061461) | 0.088191 / 0.176557 (-0.088365) | 0.127698 / 0.737135 (-0.609437) | 0.089642 / 0.296338 (-0.206696) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.299127 / 0.215209 (0.083918) | 2.961219 / 2.077655 (0.883565) | 1.589108 / 1.504120 (0.084988) | 1.464060 / 1.541195 (-0.077135) | 1.475249 / 1.468490 (0.006759) | 0.569041 / 4.584777 (-4.015736) | 0.966965 / 3.745712 (-2.778747) | 2.653049 / 5.269862 (-2.616813) | 1.733650 / 4.565676 (-2.832026) | 0.062537 / 0.424275 (-0.361738) | 0.005003 / 0.007607 (-0.002605) | 0.353345 / 0.226044 (0.127301) | 3.432888 / 2.268929 (1.163960) | 1.953217 / 55.444624 (-53.491407) | 1.651995 / 6.876477 (-5.224482) | 1.764549 / 2.142072 (-0.377523) | 0.647255 / 4.805227 (-4.157973) | 0.116827 / 6.500664 (-6.383837) | 0.040765 / 0.075469 (-0.034704) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.985490 / 1.841788 (-0.856298) | 11.965147 / 8.074308 (3.890839) | 10.488286 / 10.191392 (0.296894) | 0.142134 / 0.680424 (-0.538290) | 0.015415 / 0.534201 (-0.518786) | 0.289864 / 0.579283 (-0.289419) | 0.122778 / 0.434364 (-0.311586) | 0.328691 / 0.540337 (-0.211647) | 0.422677 / 1.386936 (-0.964259) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#456f790d2c2e9181bc305ab3d54fe2ca58742b9b \"CML watermark\")\n", "There was an incident in hub-ci that invalidated our token. It's been fixed so I reverted this change" ]

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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6933). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.004937 / 0.011353 (-0.006416) | 0.003706 / 0.011008 (-0.007302) | 0.062627 / 0.038508 (0.024119) | 0.031372 / 0.023109 (0.008263) | 0.246616 / 0.275898 (-0.029282) | 0.272196 / 0.323480 (-0.051284) | 0.004129 / 0.007986 (-0.003856) | 0.002766 / 0.004328 (-0.001562) | 0.049975 / 0.004250 (0.045725) | 0.045098 / 0.037052 (0.008046) | 0.261802 / 0.258489 (0.003313) | 0.290088 / 0.293841 (-0.003753) | 0.027082 / 0.128546 (-0.101465) | 0.010442 / 0.075646 (-0.065205) | 0.201795 / 0.419271 (-0.217477) | 0.037081 / 0.043533 (-0.006452) | 0.249500 / 0.255139 (-0.005639) | 0.268800 / 0.283200 (-0.014399) | 0.017556 / 0.141683 (-0.124127) | 1.137201 / 1.452155 (-0.314953) | 1.186993 / 1.492716 (-0.305723) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.097426 / 0.018006 (0.079419) | 0.303653 / 0.000490 (0.303163) | 0.000235 / 0.000200 (0.000035) | 0.000049 / 0.000054 (-0.000006) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.020206 / 0.037411 (-0.017206) | 0.063673 / 0.014526 (0.049147) | 0.076173 / 0.176557 (-0.100383) | 0.122459 / 0.737135 (-0.614676) | 0.076958 / 0.296338 (-0.219380) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.282146 / 0.215209 (0.066937) | 2.785682 / 2.077655 (0.708027) | 1.468847 / 1.504120 (-0.035273) | 1.346731 / 1.541195 (-0.194464) | 1.378459 / 1.468490 (-0.090031) | 0.564961 / 4.584777 (-4.019816) | 2.400095 / 3.745712 (-1.345617) | 2.658285 / 5.269862 (-2.611577) | 1.747873 / 4.565676 (-2.817803) | 0.063763 / 0.424275 (-0.360512) | 0.004969 / 0.007607 (-0.002638) | 0.337764 / 0.226044 (0.111720) | 3.309568 / 2.268929 (1.040639) | 1.812516 / 55.444624 (-53.632109) | 1.521519 / 6.876477 (-5.354957) | 1.690091 / 2.142072 (-0.451982) | 0.640922 / 4.805227 (-4.164305) | 0.119291 / 6.500664 (-6.381373) | 0.042195 / 0.075469 (-0.033274) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.965327 / 1.841788 (-0.876461) | 11.538832 / 8.074308 (3.464523) | 9.594644 / 10.191392 (-0.596748) | 0.144687 / 0.680424 (-0.535737) | 0.014049 / 0.534201 (-0.520152) | 0.296873 / 0.579283 (-0.282410) | 0.269281 / 0.434364 (-0.165083) | 0.325091 / 0.540337 (-0.215246) | 0.420917 / 1.386936 (-0.966019) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005239 / 0.011353 (-0.006114) | 0.003168 / 0.011008 (-0.007840) | 0.049301 / 0.038508 (0.010793) | 0.032248 / 0.023109 (0.009139) | 0.266463 / 0.275898 (-0.009435) | 0.293311 / 0.323480 (-0.030168) | 0.004185 / 0.007986 (-0.003800) | 0.002681 / 0.004328 (-0.001647) | 0.048644 / 0.004250 (0.044393) | 0.040366 / 0.037052 (0.003314) | 0.280345 / 0.258489 (0.021856) | 0.312745 / 0.293841 (0.018904) | 0.029616 / 0.128546 (-0.098930) | 0.010001 / 0.075646 (-0.065646) | 0.057365 / 0.419271 (-0.361906) | 0.033189 / 0.043533 (-0.010344) | 0.267601 / 0.255139 (0.012462) | 0.285647 / 0.283200 (0.002448) | 0.017119 / 0.141683 (-0.124564) | 1.139776 / 1.452155 (-0.312378) | 1.172451 / 1.492716 (-0.320266) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.095462 / 0.018006 (0.077455) | 0.303009 / 0.000490 (0.302519) | 0.000227 / 0.000200 (0.000027) | 0.000055 / 0.000054 (0.000000) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023026 / 0.037411 (-0.014385) | 0.077905 / 0.014526 (0.063380) | 0.087275 / 0.176557 (-0.089282) | 0.127355 / 0.737135 (-0.609780) | 0.088940 / 0.296338 (-0.207399) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.298267 / 0.215209 (0.083058) | 2.894679 / 2.077655 (0.817024) | 1.568663 / 1.504120 (0.064543) | 1.438342 / 1.541195 (-0.102853) | 1.456110 / 1.468490 (-0.012380) | 0.556337 / 4.584777 (-4.028440) | 0.969795 / 3.745712 (-2.775917) | 2.667348 / 5.269862 (-2.602513) | 1.767169 / 4.565676 (-2.798507) | 0.060969 / 0.424275 (-0.363306) | 0.005009 / 0.007607 (-0.002598) | 0.343299 / 0.226044 (0.117255) | 3.396529 / 2.268929 (1.127601) | 1.889816 / 55.444624 (-53.554808) | 1.635077 / 6.876477 (-5.241400) | 1.795238 / 2.142072 (-0.346835) | 0.631876 / 4.805227 (-4.173352) | 0.115483 / 6.500664 (-6.385181) | 0.041772 / 0.075469 (-0.033697) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.008423 / 1.841788 (-0.833364) | 12.432488 / 8.074308 (4.358180) | 10.418002 / 10.191392 (0.226610) | 0.142395 / 0.680424 (-0.538029) | 0.015718 / 0.534201 (-0.518483) | 0.281917 / 0.579283 (-0.297366) | 0.132619 / 0.434364 (-0.301745) | 0.318500 / 0.540337 (-0.221838) | 0.410798 / 1.386936 (-0.976138) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#3d6cd158d2e3bb9030fea7c5a9580b9d34d721ac \"CML watermark\")\n" ]

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[ "thanks !", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005050 / 0.011353 (-0.006303) | 0.003786 / 0.011008 (-0.007222) | 0.062406 / 0.038508 (0.023898) | 0.029459 / 0.023109 (0.006349) | 0.262388 / 0.275898 (-0.013510) | 0.274119 / 0.323480 (-0.049361) | 0.004085 / 0.007986 (-0.003901) | 0.002754 / 0.004328 (-0.001574) | 0.048779 / 0.004250 (0.044529) | 0.046187 / 0.037052 (0.009135) | 0.263513 / 0.258489 (0.005024) | 0.294260 / 0.293841 (0.000419) | 0.027391 / 0.128546 (-0.101155) | 0.010567 / 0.075646 (-0.065080) | 0.200225 / 0.419271 (-0.219046) | 0.036165 / 0.043533 (-0.007367) | 0.251757 / 0.255139 (-0.003382) | 0.268271 / 0.283200 (-0.014928) | 0.018446 / 0.141683 (-0.123237) | 1.125787 / 1.452155 (-0.326368) | 1.163172 / 1.492716 (-0.329544) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.004428 / 0.018006 (-0.013578) | 0.301730 / 0.000490 (0.301241) | 0.000215 / 0.000200 (0.000015) | 0.000045 / 0.000054 (-0.000010) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019424 / 0.037411 (-0.017987) | 0.062269 / 0.014526 (0.047743) | 0.074289 / 0.176557 (-0.102268) | 0.121069 / 0.737135 (-0.616067) | 0.076485 / 0.296338 (-0.219853) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.277315 / 0.215209 (0.062106) | 2.742027 / 2.077655 (0.664372) | 1.472970 / 1.504120 (-0.031150) | 1.350065 / 1.541195 (-0.191130) | 1.378806 / 1.468490 (-0.089684) | 0.567742 / 4.584777 (-4.017035) | 2.376752 / 3.745712 (-1.368960) | 2.662459 / 5.269862 (-2.607402) | 1.750396 / 4.565676 (-2.815280) | 0.063589 / 0.424275 (-0.360686) | 0.004987 / 0.007607 (-0.002620) | 0.326441 / 0.226044 (0.100397) | 3.224125 / 2.268929 (0.955197) | 1.801623 / 55.444624 (-53.643001) | 1.534712 / 6.876477 (-5.341765) | 1.652365 / 2.142072 (-0.489708) | 0.647624 / 4.805227 (-4.157603) | 0.117161 / 6.500664 (-6.383504) | 0.041908 / 0.075469 (-0.033561) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.954879 / 1.841788 (-0.886909) | 11.571875 / 8.074308 (3.497567) | 9.489146 / 10.191392 (-0.702246) | 0.141630 / 0.680424 (-0.538794) | 0.014764 / 0.534201 (-0.519437) | 0.285003 / 0.579283 (-0.294280) | 0.266138 / 0.434364 (-0.168226) | 0.323527 / 0.540337 (-0.216810) | 0.419658 / 1.386936 (-0.967278) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005359 / 0.011353 (-0.005994) | 0.003615 / 0.011008 (-0.007393) | 0.050692 / 0.038508 (0.012184) | 0.033632 / 0.023109 (0.010522) | 0.273614 / 0.275898 (-0.002284) | 0.303780 / 0.323480 (-0.019700) | 0.004171 / 0.007986 (-0.003814) | 0.002687 / 0.004328 (-0.001642) | 0.050002 / 0.004250 (0.045751) | 0.040824 / 0.037052 (0.003772) | 0.287759 / 0.258489 (0.029270) | 0.324144 / 0.293841 (0.030303) | 0.029101 / 0.128546 (-0.099445) | 0.010244 / 0.075646 (-0.065402) | 0.059599 / 0.419271 (-0.359672) | 0.033146 / 0.043533 (-0.010387) | 0.276592 / 0.255139 (0.021453) | 0.293670 / 0.283200 (0.010470) | 0.018270 / 0.141683 (-0.123413) | 1.126216 / 1.452155 (-0.325939) | 1.155658 / 1.492716 (-0.337058) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.093537 / 0.018006 (0.075530) | 0.302706 / 0.000490 (0.302216) | 0.000216 / 0.000200 (0.000016) | 0.000052 / 0.000054 (-0.000003) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023118 / 0.037411 (-0.014293) | 0.076995 / 0.014526 (0.062469) | 0.089476 / 0.176557 (-0.087080) | 0.130705 / 0.737135 (-0.606430) | 0.090258 / 0.296338 (-0.206081) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.285920 / 0.215209 (0.070710) | 2.830581 / 2.077655 (0.752927) | 1.561695 / 1.504120 (0.057575) | 1.522791 / 1.541195 (-0.018403) | 1.429875 / 1.468490 (-0.038615) | 0.566683 / 4.584777 (-4.018094) | 0.957157 / 3.745712 (-2.788555) | 2.663718 / 5.269862 (-2.606143) | 1.748885 / 4.565676 (-2.816791) | 0.063697 / 0.424275 (-0.360578) | 0.004996 / 0.007607 (-0.002611) | 0.340042 / 0.226044 (0.113998) | 3.352792 / 2.268929 (1.083863) | 1.907189 / 55.444624 (-53.537435) | 1.608177 / 6.876477 (-5.268300) | 1.775438 / 2.142072 (-0.366634) | 0.645264 / 4.805227 (-4.159963) | 0.116441 / 6.500664 (-6.384223) | 0.040671 / 0.075469 (-0.034798) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.005050 / 1.841788 (-0.836738) | 12.040057 / 8.074308 (3.965749) | 10.213560 / 10.191392 (0.022168) | 0.138383 / 0.680424 (-0.542041) | 0.015409 / 0.534201 (-0.518792) | 0.283509 / 0.579283 (-0.295774) | 0.125501 / 0.434364 (-0.308863) | 0.318816 / 0.540337 (-0.221521) | 0.415454 / 1.386936 (-0.971482) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#cbb29cea0e21dc0eb8f7de01d0c6ed5718d6ce4e \"CML watermark\")\n" ]

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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6931). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005362 / 0.011353 (-0.005991) | 0.003969 / 0.011008 (-0.007039) | 0.063390 / 0.038508 (0.024882) | 0.030814 / 0.023109 (0.007705) | 0.246891 / 0.275898 (-0.029007) | 0.271047 / 0.323480 (-0.052432) | 0.004036 / 0.007986 (-0.003950) | 0.002732 / 0.004328 (-0.001597) | 0.049466 / 0.004250 (0.045216) | 0.047227 / 0.037052 (0.010175) | 0.255978 / 0.258489 (-0.002511) | 0.297956 / 0.293841 (0.004115) | 0.028641 / 0.128546 (-0.099905) | 0.010510 / 0.075646 (-0.065136) | 0.204268 / 0.419271 (-0.215004) | 0.037093 / 0.043533 (-0.006440) | 0.247287 / 0.255139 (-0.007852) | 0.263830 / 0.283200 (-0.019370) | 0.018335 / 0.141683 (-0.123348) | 1.116074 / 1.452155 (-0.336081) | 1.182589 / 1.492716 (-0.310128) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.094435 / 0.018006 (0.076429) | 0.310422 / 0.000490 (0.309932) | 0.000215 / 0.000200 (0.000015) | 0.000044 / 0.000054 (-0.000010) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019220 / 0.037411 (-0.018192) | 0.062090 / 0.014526 (0.047564) | 0.074511 / 0.176557 (-0.102046) | 0.121825 / 0.737135 (-0.615310) | 0.075406 / 0.296338 (-0.220933) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.281185 / 0.215209 (0.065976) | 2.770157 / 2.077655 (0.692502) | 1.472095 / 1.504120 (-0.032025) | 1.339342 / 1.541195 (-0.201853) | 1.374621 / 1.468490 (-0.093869) | 0.566607 / 4.584777 (-4.018170) | 2.357642 / 3.745712 (-1.388070) | 2.735034 / 5.269862 (-2.534827) | 1.782779 / 4.565676 (-2.782897) | 0.063046 / 0.424275 (-0.361229) | 0.005015 / 0.007607 (-0.002592) | 0.336690 / 0.226044 (0.110646) | 3.360955 / 2.268929 (1.092027) | 1.804424 / 55.444624 (-53.640200) | 1.517334 / 6.876477 (-5.359143) | 1.665254 / 2.142072 (-0.476818) | 0.627185 / 4.805227 (-4.178042) | 0.114388 / 6.500664 (-6.386276) | 0.041788 / 0.075469 (-0.033681) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.975270 / 1.841788 (-0.866517) | 11.647633 / 8.074308 (3.573325) | 9.872873 / 10.191392 (-0.318519) | 0.141744 / 0.680424 (-0.538680) | 0.014524 / 0.534201 (-0.519677) | 0.286697 / 0.579283 (-0.292586) | 0.266837 / 0.434364 (-0.167527) | 0.328513 / 0.540337 (-0.211825) | 0.424676 / 1.386936 (-0.962260) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005654 / 0.011353 (-0.005699) | 0.004058 / 0.011008 (-0.006950) | 0.051030 / 0.038508 (0.012522) | 0.033085 / 0.023109 (0.009976) | 0.307532 / 0.275898 (0.031634) | 0.335672 / 0.323480 (0.012192) | 0.004244 / 0.007986 (-0.003742) | 0.002842 / 0.004328 (-0.001487) | 0.050131 / 0.004250 (0.045880) | 0.040709 / 0.037052 (0.003656) | 0.319514 / 0.258489 (0.061025) | 0.357153 / 0.293841 (0.063312) | 0.029014 / 0.128546 (-0.099532) | 0.010999 / 0.075646 (-0.064648) | 0.058789 / 0.419271 (-0.360482) | 0.033284 / 0.043533 (-0.010249) | 0.310783 / 0.255139 (0.055644) | 0.331466 / 0.283200 (0.048266) | 0.018998 / 0.141683 (-0.122685) | 1.138822 / 1.452155 (-0.313332) | 1.180731 / 1.492716 (-0.311985) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.095725 / 0.018006 (0.077719) | 0.302788 / 0.000490 (0.302298) | 0.000206 / 0.000200 (0.000006) | 0.000056 / 0.000054 (0.000001) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023247 / 0.037411 (-0.014164) | 0.077619 / 0.014526 (0.063093) | 0.090489 / 0.176557 (-0.086067) | 0.132033 / 0.737135 (-0.605102) | 0.090964 / 0.296338 (-0.205374) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.297912 / 0.215209 (0.082703) | 2.954107 / 2.077655 (0.876452) | 1.591155 / 1.504120 (0.087035) | 1.469217 / 1.541195 (-0.071978) | 1.513315 / 1.468490 (0.044825) | 0.562728 / 4.584777 (-4.022049) | 0.960093 / 3.745712 (-2.785620) | 2.852106 / 5.269862 (-2.417756) | 1.861668 / 4.565676 (-2.704009) | 0.063530 / 0.424275 (-0.360745) | 0.005194 / 0.007607 (-0.002413) | 0.351116 / 0.226044 (0.125072) | 3.498787 / 2.268929 (1.229859) | 1.952223 / 55.444624 (-53.492401) | 1.696208 / 6.876477 (-5.180269) | 1.861650 / 2.142072 (-0.280422) | 0.653494 / 4.805227 (-4.151733) | 0.123797 / 6.500664 (-6.376868) | 0.042696 / 0.075469 (-0.032773) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.006657 / 1.841788 (-0.835131) | 12.659771 / 8.074308 (4.585463) | 10.672140 / 10.191392 (0.480748) | 0.143726 / 0.680424 (-0.536698) | 0.015895 / 0.534201 (-0.518306) | 0.285952 / 0.579283 (-0.293331) | 0.126078 / 0.434364 (-0.308286) | 0.325943 / 0.540337 (-0.214395) | 0.410774 / 1.386936 (-0.976162) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#88d53d1ae762bec6736fffb000e6540e52bf1998 \"CML watermark\")\n" ]

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[ "you're right, we're tackling this here: https://github.com/huggingface/dataset-viewer/issues/2757", "@severo : great !" ]

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[ "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005062 / 0.011353 (-0.006291) | 0.003410 / 0.011008 (-0.007598) | 0.062241 / 0.038508 (0.023733) | 0.030294 / 0.023109 (0.007185) | 0.249249 / 0.275898 (-0.026649) | 0.267718 / 0.323480 (-0.055761) | 0.003047 / 0.007986 (-0.004938) | 0.002661 / 0.004328 (-0.001668) | 0.049142 / 0.004250 (0.044892) | 0.047929 / 0.037052 (0.010877) | 0.255262 / 0.258489 (-0.003227) | 0.286241 / 0.293841 (-0.007600) | 0.027064 / 0.128546 (-0.101482) | 0.010374 / 0.075646 (-0.065273) | 0.201454 / 0.419271 (-0.217818) | 0.036586 / 0.043533 (-0.006947) | 0.255200 / 0.255139 (0.000061) | 0.267660 / 0.283200 (-0.015539) | 0.018621 / 0.141683 (-0.123062) | 1.159821 / 1.452155 (-0.292334) | 1.171597 / 1.492716 (-0.321120) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.004752 / 0.018006 (-0.013254) | 0.295427 / 0.000490 (0.294937) | 0.000225 / 0.000200 (0.000025) | 0.000052 / 0.000054 (-0.000002) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.018914 / 0.037411 (-0.018497) | 0.061180 / 0.014526 (0.046654) | 0.073649 / 0.176557 (-0.102907) | 0.120142 / 0.737135 (-0.616993) | 0.074754 / 0.296338 (-0.221585) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.286637 / 0.215209 (0.071428) | 2.807941 / 2.077655 (0.730287) | 1.473577 / 1.504120 (-0.030542) | 1.353112 / 1.541195 (-0.188083) | 1.363020 / 1.468490 (-0.105470) | 0.567745 / 4.584777 (-4.017032) | 2.384887 / 3.745712 (-1.360826) | 2.685132 / 5.269862 (-2.584730) | 1.755922 / 4.565676 (-2.809755) | 0.062296 / 0.424275 (-0.361979) | 0.004941 / 0.007607 (-0.002666) | 0.346752 / 0.226044 (0.120707) | 3.378623 / 2.268929 (1.109694) | 1.809070 / 55.444624 (-53.635555) | 1.531490 / 6.876477 (-5.344986) | 1.687954 / 2.142072 (-0.454119) | 0.639917 / 4.805227 (-4.165310) | 0.118455 / 6.500664 (-6.382209) | 0.043072 / 0.075469 (-0.032397) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.977154 / 1.841788 (-0.864634) | 11.380127 / 8.074308 (3.305819) | 9.621632 / 10.191392 (-0.569760) | 0.141768 / 0.680424 (-0.538655) | 0.014120 / 0.534201 (-0.520081) | 0.285073 / 0.579283 (-0.294210) | 0.264801 / 0.434364 (-0.169563) | 0.322357 / 0.540337 (-0.217981) | 0.431192 / 1.386936 (-0.955744) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005162 / 0.011353 (-0.006191) | 0.003499 / 0.011008 (-0.007509) | 0.049667 / 0.038508 (0.011159) | 0.032473 / 0.023109 (0.009363) | 0.259988 / 0.275898 (-0.015910) | 0.285723 / 0.323480 (-0.037757) | 0.004197 / 0.007986 (-0.003789) | 0.002710 / 0.004328 (-0.001618) | 0.049235 / 0.004250 (0.044984) | 0.040440 / 0.037052 (0.003387) | 0.276791 / 0.258489 (0.018302) | 0.311990 / 0.293841 (0.018149) | 0.029217 / 0.128546 (-0.099329) | 0.010217 / 0.075646 (-0.065429) | 0.057844 / 0.419271 (-0.361427) | 0.032799 / 0.043533 (-0.010734) | 0.260705 / 0.255139 (0.005566) | 0.280439 / 0.283200 (-0.002761) | 0.018682 / 0.141683 (-0.123001) | 1.135946 / 1.452155 (-0.316208) | 1.163144 / 1.492716 (-0.329572) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.097968 / 0.018006 (0.079961) | 0.309276 / 0.000490 (0.308786) | 0.000214 / 0.000200 (0.000014) | 0.000051 / 0.000054 (-0.000004) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022623 / 0.037411 (-0.014788) | 0.075471 / 0.014526 (0.060945) | 0.087928 / 0.176557 (-0.088629) | 0.129537 / 0.737135 (-0.607599) | 0.089376 / 0.296338 (-0.206963) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.298223 / 0.215209 (0.083014) | 2.940462 / 2.077655 (0.862807) | 1.586024 / 1.504120 (0.081904) | 1.451161 / 1.541195 (-0.090034) | 1.457707 / 1.468490 (-0.010783) | 0.571172 / 4.584777 (-4.013604) | 0.961591 / 3.745712 (-2.784121) | 2.661258 / 5.269862 (-2.608604) | 1.755172 / 4.565676 (-2.810504) | 0.063430 / 0.424275 (-0.360845) | 0.005034 / 0.007607 (-0.002573) | 0.352356 / 0.226044 (0.126312) | 3.454986 / 2.268929 (1.186057) | 1.967375 / 55.444624 (-53.477249) | 1.638465 / 6.876477 (-5.238012) | 1.774098 / 2.142072 (-0.367975) | 0.650094 / 4.805227 (-4.155134) | 0.117377 / 6.500664 (-6.383287) | 0.041229 / 0.075469 (-0.034240) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.014356 / 1.841788 (-0.827432) | 12.175823 / 8.074308 (4.101515) | 10.657486 / 10.191392 (0.466094) | 0.145080 / 0.680424 (-0.535344) | 0.015563 / 0.534201 (-0.518638) | 0.287093 / 0.579283 (-0.292190) | 0.127164 / 0.434364 (-0.307200) | 0.318518 / 0.540337 (-0.221820) | 0.415333 / 1.386936 (-0.971603) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#372078f617d9210c7f073c22f5f6f4fbee52c67f \"CML watermark\")\n" ]

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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6925). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "Do you think this is worth making a patch release for?\r\nCC: @huggingface/datasets", "I will add some regression tests before merging.\r\n\r\nAnd I will make a patch release afterwards.", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.004959 / 0.011353 (-0.006394) | 0.003654 / 0.011008 (-0.007354) | 0.064087 / 0.038508 (0.025579) | 0.031942 / 0.023109 (0.008833) | 0.236830 / 0.275898 (-0.039068) | 0.265359 / 0.323480 (-0.058121) | 0.003108 / 0.007986 (-0.004878) | 0.002824 / 0.004328 (-0.001504) | 0.049102 / 0.004250 (0.044852) | 0.046070 / 0.037052 (0.009017) | 0.248830 / 0.258489 (-0.009659) | 0.283900 / 0.293841 (-0.009941) | 0.027799 / 0.128546 (-0.100747) | 0.010572 / 0.075646 (-0.065074) | 0.223595 / 0.419271 (-0.195677) | 0.036951 / 0.043533 (-0.006582) | 0.238813 / 0.255139 (-0.016326) | 0.253841 / 0.283200 (-0.029359) | 0.018471 / 0.141683 (-0.123212) | 1.131969 / 1.452155 (-0.320186) | 1.173763 / 1.492716 (-0.318954) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.095504 / 0.018006 (0.077498) | 0.301469 / 0.000490 (0.300979) | 0.000212 / 0.000200 (0.000012) | 0.000052 / 0.000054 (-0.000003) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019194 / 0.037411 (-0.018217) | 0.062313 / 0.014526 (0.047787) | 0.075852 / 0.176557 (-0.100704) | 0.121996 / 0.737135 (-0.615140) | 0.076416 / 0.296338 (-0.219923) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.292465 / 0.215209 (0.077256) | 2.910234 / 2.077655 (0.832579) | 1.479672 / 1.504120 (-0.024448) | 1.332281 / 1.541195 (-0.208913) | 1.354095 / 1.468490 (-0.114395) | 0.573438 / 4.584777 (-4.011339) | 2.382406 / 3.745712 (-1.363307) | 2.708289 / 5.269862 (-2.561572) | 1.739665 / 4.565676 (-2.826011) | 0.063514 / 0.424275 (-0.360761) | 0.005008 / 0.007607 (-0.002599) | 0.350070 / 0.226044 (0.124025) | 3.475837 / 2.268929 (1.206909) | 1.804639 / 55.444624 (-53.639985) | 1.520472 / 6.876477 (-5.356005) | 1.658061 / 2.142072 (-0.484011) | 0.648495 / 4.805227 (-4.156732) | 0.118394 / 6.500664 (-6.382270) | 0.042557 / 0.075469 (-0.032912) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.960772 / 1.841788 (-0.881016) | 11.451629 / 8.074308 (3.377321) | 9.613331 / 10.191392 (-0.578061) | 0.130259 / 0.680424 (-0.550164) | 0.015828 / 0.534201 (-0.518373) | 0.287581 / 0.579283 (-0.291702) | 0.266517 / 0.434364 (-0.167847) | 0.327334 / 0.540337 (-0.213003) | 0.427881 / 1.386936 (-0.959055) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005364 / 0.011353 (-0.005989) | 0.003723 / 0.011008 (-0.007285) | 0.049990 / 0.038508 (0.011482) | 0.032023 / 0.023109 (0.008913) | 0.258609 / 0.275898 (-0.017289) | 0.281250 / 0.323480 (-0.042230) | 0.004222 / 0.007986 (-0.003764) | 0.002799 / 0.004328 (-0.001529) | 0.049546 / 0.004250 (0.045296) | 0.040298 / 0.037052 (0.003246) | 0.273552 / 0.258489 (0.015063) | 0.304042 / 0.293841 (0.010201) | 0.030116 / 0.128546 (-0.098430) | 0.010792 / 0.075646 (-0.064855) | 0.058427 / 0.419271 (-0.360845) | 0.033415 / 0.043533 (-0.010118) | 0.258794 / 0.255139 (0.003655) | 0.275304 / 0.283200 (-0.007896) | 0.017944 / 0.141683 (-0.123739) | 1.109291 / 1.452155 (-0.342864) | 1.156627 / 1.492716 (-0.336090) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.096700 / 0.018006 (0.078693) | 0.301108 / 0.000490 (0.300618) | 0.000208 / 0.000200 (0.000008) | 0.000054 / 0.000054 (-0.000001) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022632 / 0.037411 (-0.014779) | 0.075813 / 0.014526 (0.061287) | 0.090302 / 0.176557 (-0.086254) | 0.130375 / 0.737135 (-0.606760) | 0.089710 / 0.296338 (-0.206629) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.297091 / 0.215209 (0.081882) | 2.910379 / 2.077655 (0.832725) | 1.570460 / 1.504120 (0.066340) | 1.441619 / 1.541195 (-0.099576) | 1.442417 / 1.468490 (-0.026073) | 0.570034 / 4.584777 (-4.014743) | 0.952613 / 3.745712 (-2.793099) | 2.659274 / 5.269862 (-2.610588) | 1.751013 / 4.565676 (-2.814663) | 0.064639 / 0.424275 (-0.359636) | 0.005145 / 0.007607 (-0.002462) | 0.347478 / 0.226044 (0.121434) | 3.443862 / 2.268929 (1.174933) | 1.897246 / 55.444624 (-53.547379) | 1.609267 / 6.876477 (-5.267210) | 1.755116 / 2.142072 (-0.386956) | 0.658982 / 4.805227 (-4.146245) | 0.117000 / 6.500664 (-6.383664) | 0.041453 / 0.075469 (-0.034016) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.005843 / 1.841788 (-0.835944) | 12.101306 / 8.074308 (4.026998) | 10.370706 / 10.191392 (0.179314) | 0.139374 / 0.680424 (-0.541050) | 0.015605 / 0.534201 (-0.518596) | 0.286978 / 0.579283 (-0.292305) | 0.122951 / 0.434364 (-0.311413) | 0.331729 / 0.540337 (-0.208609) | 0.422088 / 1.386936 (-0.964848) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#157585f964b1c7f675860af0d21712555b34aabc \"CML watermark\")\n" ]

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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6922). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005525 / 0.011353 (-0.005828) | 0.004013 / 0.011008 (-0.006996) | 0.063931 / 0.038508 (0.025423) | 0.033857 / 0.023109 (0.010748) | 0.250910 / 0.275898 (-0.024988) | 0.278289 / 0.323480 (-0.045191) | 0.004289 / 0.007986 (-0.003697) | 0.002800 / 0.004328 (-0.001529) | 0.050127 / 0.004250 (0.045877) | 0.048901 / 0.037052 (0.011848) | 0.260628 / 0.258489 (0.002139) | 0.293904 / 0.293841 (0.000063) | 0.028339 / 0.128546 (-0.100207) | 0.010879 / 0.075646 (-0.064767) | 0.203618 / 0.419271 (-0.215654) | 0.036241 / 0.043533 (-0.007292) | 0.250481 / 0.255139 (-0.004657) | 0.274274 / 0.283200 (-0.008926) | 0.018912 / 0.141683 (-0.122771) | 1.146785 / 1.452155 (-0.305370) | 1.199795 / 1.492716 (-0.292921) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.095571 / 0.018006 (0.077564) | 0.302961 / 0.000490 (0.302471) | 0.000217 / 0.000200 (0.000017) | 0.000109 / 0.000054 (0.000055) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.020121 / 0.037411 (-0.017290) | 0.063231 / 0.014526 (0.048705) | 0.075434 / 0.176557 (-0.101122) | 0.123994 / 0.737135 (-0.613141) | 0.076479 / 0.296338 (-0.219860) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.277816 / 0.215209 (0.062607) | 2.775481 / 2.077655 (0.697826) | 1.454881 / 1.504120 (-0.049239) | 1.339055 / 1.541195 (-0.202140) | 1.347810 / 1.468490 (-0.120681) | 0.572802 / 4.584777 (-4.011975) | 2.357490 / 3.745712 (-1.388222) | 2.822548 / 5.269862 (-2.447313) | 1.746538 / 4.565676 (-2.819138) | 0.066159 / 0.424275 (-0.358116) | 0.005037 / 0.007607 (-0.002570) | 0.329256 / 0.226044 (0.103212) | 3.277511 / 2.268929 (1.008582) | 1.807855 / 55.444624 (-53.636769) | 1.505507 / 6.876477 (-5.370970) | 1.634237 / 2.142072 (-0.507835) | 0.643999 / 4.805227 (-4.161229) | 0.117494 / 6.500664 (-6.383170) | 0.042634 / 0.075469 (-0.032835) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.977689 / 1.841788 (-0.864098) | 12.261836 / 8.074308 (4.187528) | 9.871541 / 10.191392 (-0.319851) | 0.147293 / 0.680424 (-0.533130) | 0.015134 / 0.534201 (-0.519067) | 0.287677 / 0.579283 (-0.291606) | 0.264622 / 0.434364 (-0.169742) | 0.330511 / 0.540337 (-0.209826) | 0.467618 / 1.386936 (-0.919318) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005690 / 0.011353 (-0.005663) | 0.003801 / 0.011008 (-0.007207) | 0.051817 / 0.038508 (0.013309) | 0.033355 / 0.023109 (0.010246) | 0.264416 / 0.275898 (-0.011482) | 0.288494 / 0.323480 (-0.034986) | 0.004246 / 0.007986 (-0.003740) | 0.002814 / 0.004328 (-0.001515) | 0.050547 / 0.004250 (0.046297) | 0.042977 / 0.037052 (0.005925) | 0.276884 / 0.258489 (0.018395) | 0.303758 / 0.293841 (0.009917) | 0.029412 / 0.128546 (-0.099134) | 0.010697 / 0.075646 (-0.064949) | 0.059497 / 0.419271 (-0.359775) | 0.033670 / 0.043533 (-0.009862) | 0.261311 / 0.255139 (0.006172) | 0.286478 / 0.283200 (0.003278) | 0.019386 / 0.141683 (-0.122297) | 1.155943 / 1.452155 (-0.296211) | 1.198512 / 1.492716 (-0.294205) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.092954 / 0.018006 (0.074948) | 0.294144 / 0.000490 (0.293655) | 0.000213 / 0.000200 (0.000013) | 0.000043 / 0.000054 (-0.000012) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023013 / 0.037411 (-0.014398) | 0.077161 / 0.014526 (0.062635) | 0.089957 / 0.176557 (-0.086600) | 0.129305 / 0.737135 (-0.607831) | 0.091006 / 0.296338 (-0.205333) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.294091 / 0.215209 (0.078882) | 2.885395 / 2.077655 (0.807741) | 1.555658 / 1.504120 (0.051538) | 1.423276 / 1.541195 (-0.117919) | 1.476485 / 1.468490 (0.007995) | 0.569507 / 4.584777 (-4.015270) | 0.979221 / 3.745712 (-2.766491) | 2.818503 / 5.269862 (-2.451358) | 1.871938 / 4.565676 (-2.693739) | 0.064342 / 0.424275 (-0.359933) | 0.005495 / 0.007607 (-0.002112) | 0.351451 / 0.226044 (0.125407) | 3.516078 / 2.268929 (1.247149) | 1.928351 / 55.444624 (-53.516273) | 1.625362 / 6.876477 (-5.251115) | 1.813756 / 2.142072 (-0.328317) | 0.657642 / 4.805227 (-4.147585) | 0.117893 / 6.500664 (-6.382771) | 0.042009 / 0.075469 (-0.033460) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.032893 / 1.841788 (-0.808894) | 12.983400 / 8.074308 (4.909092) | 10.747204 / 10.191392 (0.555812) | 0.133163 / 0.680424 (-0.547261) | 0.015875 / 0.534201 (-0.518326) | 0.312592 / 0.579283 (-0.266691) | 0.124780 / 0.434364 (-0.309584) | 0.350735 / 0.540337 (-0.189603) | 0.447130 / 1.386936 (-0.939806) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#048c789607af0370c1f2337248897956f7a91617 \"CML watermark\")\n" ]

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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6921). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005252 / 0.011353 (-0.006100) | 0.003752 / 0.011008 (-0.007257) | 0.064034 / 0.038508 (0.025526) | 0.031205 / 0.023109 (0.008096) | 0.248903 / 0.275898 (-0.026995) | 0.275808 / 0.323480 (-0.047671) | 0.003135 / 0.007986 (-0.004851) | 0.002635 / 0.004328 (-0.001693) | 0.049869 / 0.004250 (0.045619) | 0.047602 / 0.037052 (0.010549) | 0.259738 / 0.258489 (0.001249) | 0.296131 / 0.293841 (0.002290) | 0.027467 / 0.128546 (-0.101080) | 0.010449 / 0.075646 (-0.065197) | 0.201369 / 0.419271 (-0.217903) | 0.036317 / 0.043533 (-0.007216) | 0.244347 / 0.255139 (-0.010792) | 0.267597 / 0.283200 (-0.015602) | 0.019930 / 0.141683 (-0.121753) | 1.149012 / 1.452155 (-0.303143) | 1.188083 / 1.492716 (-0.304633) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.095190 / 0.018006 (0.077184) | 0.300705 / 0.000490 (0.300215) | 0.000222 / 0.000200 (0.000022) | 0.000051 / 0.000054 (-0.000004) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019297 / 0.037411 (-0.018115) | 0.063183 / 0.014526 (0.048657) | 0.075094 / 0.176557 (-0.101463) | 0.123556 / 0.737135 (-0.613579) | 0.076721 / 0.296338 (-0.219618) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.284136 / 0.215209 (0.068927) | 2.814041 / 2.077655 (0.736387) | 1.471038 / 1.504120 (-0.033082) | 1.344002 / 1.541195 (-0.197193) | 1.353875 / 1.468490 (-0.114615) | 0.599495 / 4.584777 (-3.985282) | 2.394491 / 3.745712 (-1.351221) | 2.781734 / 5.269862 (-2.488128) | 1.729829 / 4.565676 (-2.835848) | 0.064194 / 0.424275 (-0.360081) | 0.005022 / 0.007607 (-0.002585) | 0.343384 / 0.226044 (0.117340) | 3.357067 / 2.268929 (1.088139) | 1.816323 / 55.444624 (-53.628301) | 1.549405 / 6.876477 (-5.327072) | 1.594394 / 2.142072 (-0.547679) | 0.660650 / 4.805227 (-4.144578) | 0.120271 / 6.500664 (-6.380393) | 0.042422 / 0.075469 (-0.033047) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.975776 / 1.841788 (-0.866011) | 11.828093 / 8.074308 (3.753784) | 9.384164 / 10.191392 (-0.807228) | 0.140761 / 0.680424 (-0.539663) | 0.014038 / 0.534201 (-0.520163) | 0.284904 / 0.579283 (-0.294379) | 0.263430 / 0.434364 (-0.170934) | 0.320856 / 0.540337 (-0.219482) | 0.419199 / 1.386936 (-0.967737) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005672 / 0.011353 (-0.005681) | 0.003667 / 0.011008 (-0.007341) | 0.049989 / 0.038508 (0.011481) | 0.033115 / 0.023109 (0.010006) | 0.269808 / 0.275898 (-0.006090) | 0.293286 / 0.323480 (-0.030193) | 0.004238 / 0.007986 (-0.003748) | 0.002722 / 0.004328 (-0.001606) | 0.049516 / 0.004250 (0.045265) | 0.042076 / 0.037052 (0.005024) | 0.282182 / 0.258489 (0.023693) | 0.310817 / 0.293841 (0.016976) | 0.029824 / 0.128546 (-0.098722) | 0.010516 / 0.075646 (-0.065130) | 0.058223 / 0.419271 (-0.361049) | 0.033263 / 0.043533 (-0.010270) | 0.268769 / 0.255139 (0.013630) | 0.288308 / 0.283200 (0.005108) | 0.018531 / 0.141683 (-0.123151) | 1.136806 / 1.452155 (-0.315349) | 1.192636 / 1.492716 (-0.300080) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.096583 / 0.018006 (0.078577) | 0.303678 / 0.000490 (0.303188) | 0.000211 / 0.000200 (0.000011) | 0.000044 / 0.000054 (-0.000010) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022741 / 0.037411 (-0.014670) | 0.075799 / 0.014526 (0.061273) | 0.089930 / 0.176557 (-0.086626) | 0.129093 / 0.737135 (-0.608042) | 0.089672 / 0.296338 (-0.206666) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.292789 / 0.215209 (0.077580) | 2.860137 / 2.077655 (0.782483) | 1.566678 / 1.504120 (0.062558) | 1.437756 / 1.541195 (-0.103439) | 1.472347 / 1.468490 (0.003857) | 0.566814 / 4.584777 (-4.017963) | 0.963918 / 3.745712 (-2.781794) | 2.717199 / 5.269862 (-2.552663) | 1.763612 / 4.565676 (-2.802064) | 0.063601 / 0.424275 (-0.360674) | 0.005308 / 0.007607 (-0.002299) | 0.363111 / 0.226044 (0.137066) | 3.458222 / 2.268929 (1.189293) | 1.939185 / 55.444624 (-53.505440) | 1.659552 / 6.876477 (-5.216925) | 1.801006 / 2.142072 (-0.341067) | 0.648884 / 4.805227 (-4.156343) | 0.116259 / 6.500664 (-6.384405) | 0.041384 / 0.075469 (-0.034085) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.001594 / 1.841788 (-0.840194) | 12.371125 / 8.074308 (4.296817) | 10.489763 / 10.191392 (0.298371) | 0.132500 / 0.680424 (-0.547924) | 0.014742 / 0.534201 (-0.519459) | 0.282258 / 0.579283 (-0.297026) | 0.122755 / 0.434364 (-0.311608) | 0.346068 / 0.540337 (-0.194269) | 0.424943 / 1.386936 (-0.961994) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#df445c20346a34c08e7e039e4ec1a302eef3a69c \"CML watermark\")\n" ]

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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6920). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005643 / 0.011353 (-0.005710) | 0.003810 / 0.011008 (-0.007198) | 0.065896 / 0.038508 (0.027388) | 0.031692 / 0.023109 (0.008583) | 0.258297 / 0.275898 (-0.017601) | 0.294555 / 0.323480 (-0.028925) | 0.004403 / 0.007986 (-0.003583) | 0.002857 / 0.004328 (-0.001472) | 0.049848 / 0.004250 (0.045597) | 0.049719 / 0.037052 (0.012666) | 0.266393 / 0.258489 (0.007904) | 0.306214 / 0.293841 (0.012373) | 0.028283 / 0.128546 (-0.100264) | 0.010450 / 0.075646 (-0.065196) | 0.203064 / 0.419271 (-0.216208) | 0.036535 / 0.043533 (-0.006998) | 0.247839 / 0.255139 (-0.007300) | 0.270538 / 0.283200 (-0.012661) | 0.018748 / 0.141683 (-0.122935) | 1.117478 / 1.452155 (-0.334677) | 1.162575 / 1.492716 (-0.330141) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.101074 / 0.018006 (0.083068) | 0.304321 / 0.000490 (0.303831) | 0.000270 / 0.000200 (0.000070) | 0.000045 / 0.000054 (-0.000009) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019036 / 0.037411 (-0.018376) | 0.064496 / 0.014526 (0.049970) | 0.076848 / 0.176557 (-0.099709) | 0.122979 / 0.737135 (-0.614156) | 0.078008 / 0.296338 (-0.218330) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.287009 / 0.215209 (0.071800) | 2.839084 / 2.077655 (0.761429) | 1.495977 / 1.504120 (-0.008143) | 1.379147 / 1.541195 (-0.162047) | 1.413170 / 1.468490 (-0.055320) | 0.616408 / 4.584777 (-3.968369) | 2.419183 / 3.745712 (-1.326529) | 2.905720 / 5.269862 (-2.364142) | 1.801634 / 4.565676 (-2.764043) | 0.064034 / 0.424275 (-0.360241) | 0.005098 / 0.007607 (-0.002509) | 0.341732 / 0.226044 (0.115688) | 3.365262 / 2.268929 (1.096334) | 1.844335 / 55.444624 (-53.600289) | 1.561450 / 6.876477 (-5.315027) | 1.646254 / 2.142072 (-0.495819) | 0.654993 / 4.805227 (-4.150234) | 0.119837 / 6.500664 (-6.380827) | 0.043375 / 0.075469 (-0.032094) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.000352 / 1.841788 (-0.841435) | 12.765122 / 8.074308 (4.690813) | 9.818879 / 10.191392 (-0.372513) | 0.133986 / 0.680424 (-0.546438) | 0.014065 / 0.534201 (-0.520136) | 0.295859 / 0.579283 (-0.283424) | 0.268497 / 0.434364 (-0.165867) | 0.330909 / 0.540337 (-0.209429) | 0.449218 / 1.386936 (-0.937718) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005646 / 0.011353 (-0.005707) | 0.003926 / 0.011008 (-0.007082) | 0.050437 / 0.038508 (0.011929) | 0.031828 / 0.023109 (0.008719) | 0.268218 / 0.275898 (-0.007680) | 0.292987 / 0.323480 (-0.030493) | 0.004353 / 0.007986 (-0.003633) | 0.002933 / 0.004328 (-0.001395) | 0.050357 / 0.004250 (0.046107) | 0.042988 / 0.037052 (0.005935) | 0.281627 / 0.258489 (0.023138) | 0.305664 / 0.293841 (0.011824) | 0.030162 / 0.128546 (-0.098385) | 0.010856 / 0.075646 (-0.064790) | 0.059528 / 0.419271 (-0.359744) | 0.033800 / 0.043533 (-0.009733) | 0.268200 / 0.255139 (0.013061) | 0.284982 / 0.283200 (0.001782) | 0.019105 / 0.141683 (-0.122578) | 1.171714 / 1.452155 (-0.280441) | 1.205690 / 1.492716 (-0.287026) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.100979 / 0.018006 (0.082973) | 0.314691 / 0.000490 (0.314201) | 0.000217 / 0.000200 (0.000017) | 0.000050 / 0.000054 (-0.000005) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023816 / 0.037411 (-0.013596) | 0.081749 / 0.014526 (0.067223) | 0.090118 / 0.176557 (-0.086438) | 0.131615 / 0.737135 (-0.605520) | 0.091821 / 0.296338 (-0.204517) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.301222 / 0.215209 (0.086013) | 2.835310 / 2.077655 (0.757655) | 1.562396 / 1.504120 (0.058276) | 1.432365 / 1.541195 (-0.108830) | 1.468358 / 1.468490 (-0.000132) | 0.561300 / 4.584777 (-4.023477) | 0.962294 / 3.745712 (-2.783419) | 2.799705 / 5.269862 (-2.470157) | 1.803035 / 4.565676 (-2.762642) | 0.064104 / 0.424275 (-0.360171) | 0.005480 / 0.007607 (-0.002127) | 0.342519 / 0.226044 (0.116475) | 3.406286 / 2.268929 (1.137357) | 1.966962 / 55.444624 (-53.477663) | 1.654664 / 6.876477 (-5.221813) | 1.829303 / 2.142072 (-0.312769) | 0.650932 / 4.805227 (-4.154295) | 0.119211 / 6.500664 (-6.381453) | 0.043739 / 0.075469 (-0.031730) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.006657 / 1.841788 (-0.835130) | 12.915348 / 8.074308 (4.841040) | 10.808156 / 10.191392 (0.616764) | 0.132664 / 0.680424 (-0.547760) | 0.015574 / 0.534201 (-0.518627) | 0.284525 / 0.579283 (-0.294758) | 0.122322 / 0.434364 (-0.312042) | 0.326826 / 0.540337 (-0.213511) | 0.416593 / 1.386936 (-0.970343) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#15ffefe5be194790a50af88ae1236a51b0ac95e6 \"CML watermark\")\n" ]

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[ "Thanks for reporting, @srehaag.\r\n\r\nWe are investigating this issue.", "I confirm there is a bug for data-based Hub datasets when the user passes `data_dir`, which was introduced by PR:\r\n- #6714" ]

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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6915). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "I pushed a change that fixes 2.15 cache reloading (I fixed the packaged module hash), feel free to merge if this change is fine for you", "Something weird happened in GitHub: I just merged this PR to main, See: https://github.com/huggingface/datasets/commit/5bbbf1b19766e31a6905f3e82bf3aa3f9f84a982\r\n\r\nHowever this PR still appears as Open...\r\n\r\nIf I retry to merge this PR, an error appears: \"Merge attempt failed: Merge already in progress\"\r\n\r\n", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005543 / 0.011353 (-0.005810) | 0.004059 / 0.011008 (-0.006949) | 0.064678 / 0.038508 (0.026170) | 0.032615 / 0.023109 (0.009506) | 0.245883 / 0.275898 (-0.030015) | 0.273545 / 0.323480 (-0.049935) | 0.004268 / 0.007986 (-0.003718) | 0.003160 / 0.004328 (-0.001168) | 0.051982 / 0.004250 (0.047731) | 0.051186 / 0.037052 (0.014134) | 0.254009 / 0.258489 (-0.004480) | 0.289594 / 0.293841 (-0.004247) | 0.028459 / 0.128546 (-0.100087) | 0.011061 / 0.075646 (-0.064585) | 0.203571 / 0.419271 (-0.215700) | 0.038049 / 0.043533 (-0.005484) | 0.243700 / 0.255139 (-0.011439) | 0.264816 / 0.283200 (-0.018383) | 0.019556 / 0.141683 (-0.122127) | 1.114395 / 1.452155 (-0.337759) | 1.168915 / 1.492716 (-0.323802) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.098814 / 0.018006 (0.080808) | 0.308218 / 0.000490 (0.307728) | 0.000221 / 0.000200 (0.000022) | 0.000047 / 0.000054 (-0.000008) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019660 / 0.037411 (-0.017752) | 0.070542 / 0.014526 (0.056017) | 0.078906 / 0.176557 (-0.097650) | 0.126658 / 0.737135 (-0.610477) | 0.080427 / 0.296338 (-0.215911) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.280686 / 0.215209 (0.065477) | 2.767480 / 2.077655 (0.689825) | 1.455325 / 1.504120 (-0.048795) | 1.336677 / 1.541195 (-0.204518) | 1.380359 / 1.468490 (-0.088131) | 0.576310 / 4.584777 (-4.008467) | 2.431829 / 3.745712 (-1.313883) | 2.815266 / 5.269862 (-2.454595) | 1.908962 / 4.565676 (-2.656714) | 0.065306 / 0.424275 (-0.358969) | 0.005229 / 0.007607 (-0.002378) | 0.336018 / 0.226044 (0.109973) | 3.349283 / 2.268929 (1.080355) | 1.814696 / 55.444624 (-53.629929) | 1.520969 / 6.876477 (-5.355508) | 1.735322 / 2.142072 (-0.406751) | 0.661513 / 4.805227 (-4.143714) | 0.121465 / 6.500664 (-6.379199) | 0.044505 / 0.075469 (-0.030964) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.989204 / 1.841788 (-0.852584) | 12.608414 / 8.074308 (4.534106) | 10.133358 / 10.191392 (-0.058034) | 0.133986 / 0.680424 (-0.546438) | 0.014332 / 0.534201 (-0.519869) | 0.293207 / 0.579283 (-0.286076) | 0.265657 / 0.434364 (-0.168707) | 0.325972 / 0.540337 (-0.214365) | 0.478103 / 1.386936 (-0.908833) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.006070 / 0.011353 (-0.005283) | 0.004122 / 0.011008 (-0.006886) | 0.050572 / 0.038508 (0.012064) | 0.033732 / 0.023109 (0.010623) | 0.271282 / 0.275898 (-0.004616) | 0.296247 / 0.323480 (-0.027233) | 0.004400 / 0.007986 (-0.003585) | 0.002914 / 0.004328 (-0.001415) | 0.049332 / 0.004250 (0.045082) | 0.042213 / 0.037052 (0.005161) | 0.281230 / 0.258489 (0.022741) | 0.315514 / 0.293841 (0.021673) | 0.030864 / 0.128546 (-0.097682) | 0.011185 / 0.075646 (-0.064461) | 0.059227 / 0.419271 (-0.360044) | 0.034006 / 0.043533 (-0.009527) | 0.270059 / 0.255139 (0.014920) | 0.284014 / 0.283200 (0.000814) | 0.019502 / 0.141683 (-0.122181) | 1.143650 / 1.452155 (-0.308505) | 1.190968 / 1.492716 (-0.301749) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.100502 / 0.018006 (0.082496) | 0.307863 / 0.000490 (0.307373) | 0.000212 / 0.000200 (0.000012) | 0.000043 / 0.000054 (-0.000012) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023442 / 0.037411 (-0.013969) | 0.080185 / 0.014526 (0.065659) | 0.089372 / 0.176557 (-0.087185) | 0.131030 / 0.737135 (-0.606105) | 0.091174 / 0.296338 (-0.205165) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.304187 / 0.215209 (0.088978) | 3.043055 / 2.077655 (0.965400) | 1.629578 / 1.504120 (0.125459) | 1.533762 / 1.541195 (-0.007432) | 1.546134 / 1.468490 (0.077643) | 0.577739 / 4.584777 (-4.007038) | 0.986310 / 3.745712 (-2.759402) | 2.791650 / 5.269862 (-2.478212) | 1.841190 / 4.565676 (-2.724487) | 0.064943 / 0.424275 (-0.359333) | 0.005251 / 0.007607 (-0.002356) | 0.355009 / 0.226044 (0.128965) | 3.560935 / 2.268929 (1.292007) | 1.991995 / 55.444624 (-53.452629) | 1.708796 / 6.876477 (-5.167681) | 1.917721 / 2.142072 (-0.224351) | 0.667667 / 4.805227 (-4.137561) | 0.119956 / 6.500664 (-6.380708) | 0.042069 / 0.075469 (-0.033400) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.006242 / 1.841788 (-0.835546) | 13.321644 / 8.074308 (5.247336) | 10.712409 / 10.191392 (0.521017) | 0.134036 / 0.680424 (-0.546388) | 0.017645 / 0.534201 (-0.516555) | 0.289077 / 0.579283 (-0.290206) | 0.131356 / 0.434364 (-0.303007) | 0.333062 / 0.540337 (-0.207275) | 0.425327 / 1.386936 (-0.961609) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#09ebf5190afbd017f3ca24ef444be2d933411eed \"CML watermark\")\n", "Indeed, the merge commit is: https://github.com/huggingface/datasets/commit/5bbbf1b19766e31a6905f3e82bf3aa3f9f84a982\r\n\r\nThe following commit is just empty: https://github.com/huggingface/datasets/commit/09ebf5190afbd017f3ca24ef444be2d933411eed" ]

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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6914). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005492 / 0.011353 (-0.005861) | 0.004087 / 0.011008 (-0.006921) | 0.065334 / 0.038508 (0.026826) | 0.032282 / 0.023109 (0.009173) | 0.246441 / 0.275898 (-0.029457) | 0.278807 / 0.323480 (-0.044673) | 0.003245 / 0.007986 (-0.004741) | 0.003795 / 0.004328 (-0.000534) | 0.050082 / 0.004250 (0.045832) | 0.050613 / 0.037052 (0.013561) | 0.258885 / 0.258489 (0.000396) | 0.297257 / 0.293841 (0.003416) | 0.028847 / 0.128546 (-0.099699) | 0.011377 / 0.075646 (-0.064270) | 0.206089 / 0.419271 (-0.213182) | 0.037354 / 0.043533 (-0.006178) | 0.257319 / 0.255139 (0.002180) | 0.275134 / 0.283200 (-0.008066) | 0.018064 / 0.141683 (-0.123619) | 1.112371 / 1.452155 (-0.339783) | 1.160909 / 1.492716 (-0.331807) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.101893 / 0.018006 (0.083887) | 0.311084 / 0.000490 (0.310594) | 0.000208 / 0.000200 (0.000008) | 0.000042 / 0.000054 (-0.000013) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019548 / 0.037411 (-0.017863) | 0.064396 / 0.014526 (0.049870) | 0.074900 / 0.176557 (-0.101656) | 0.122750 / 0.737135 (-0.614385) | 0.076693 / 0.296338 (-0.219646) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.288609 / 0.215209 (0.073400) | 2.831354 / 2.077655 (0.753699) | 1.453961 / 1.504120 (-0.050159) | 1.327702 / 1.541195 (-0.213493) | 1.382140 / 1.468490 (-0.086351) | 0.568465 / 4.584777 (-4.016312) | 2.427199 / 3.745712 (-1.318513) | 2.810586 / 5.269862 (-2.459275) | 1.839227 / 4.565676 (-2.726449) | 0.063219 / 0.424275 (-0.361056) | 0.005111 / 0.007607 (-0.002496) | 0.341447 / 0.226044 (0.115403) | 3.357429 / 2.268929 (1.088501) | 1.806501 / 55.444624 (-53.638123) | 1.541696 / 6.876477 (-5.334781) | 1.755400 / 2.142072 (-0.386673) | 0.661442 / 4.805227 (-4.143785) | 0.120203 / 6.500664 (-6.380461) | 0.044429 / 0.075469 (-0.031040) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.987810 / 1.841788 (-0.853978) | 12.765467 / 8.074308 (4.691159) | 10.497788 / 10.191392 (0.306396) | 0.132723 / 0.680424 (-0.547701) | 0.014484 / 0.534201 (-0.519717) | 0.285763 / 0.579283 (-0.293520) | 0.264377 / 0.434364 (-0.169987) | 0.326971 / 0.540337 (-0.213367) | 0.429432 / 1.386936 (-0.957504) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005996 / 0.011353 (-0.005357) | 0.004092 / 0.011008 (-0.006916) | 0.051660 / 0.038508 (0.013152) | 0.036661 / 0.023109 (0.013552) | 0.271133 / 0.275898 (-0.004765) | 0.295728 / 0.323480 (-0.027752) | 0.004452 / 0.007986 (-0.003534) | 0.002915 / 0.004328 (-0.001413) | 0.050669 / 0.004250 (0.046418) | 0.044431 / 0.037052 (0.007378) | 0.284683 / 0.258489 (0.026194) | 0.318799 / 0.293841 (0.024958) | 0.031094 / 0.128546 (-0.097452) | 0.010810 / 0.075646 (-0.064836) | 0.059740 / 0.419271 (-0.359531) | 0.034912 / 0.043533 (-0.008621) | 0.268779 / 0.255139 (0.013640) | 0.291294 / 0.283200 (0.008095) | 0.019769 / 0.141683 (-0.121914) | 1.124833 / 1.452155 (-0.327322) | 1.168301 / 1.492716 (-0.324416) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.097080 / 0.018006 (0.079074) | 0.304636 / 0.000490 (0.304146) | 0.000232 / 0.000200 (0.000032) | 0.000060 / 0.000054 (0.000006) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023186 / 0.037411 (-0.014225) | 0.082232 / 0.014526 (0.067706) | 0.089427 / 0.176557 (-0.087130) | 0.132715 / 0.737135 (-0.604421) | 0.092820 / 0.296338 (-0.203518) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.300672 / 0.215209 (0.085463) | 2.969603 / 2.077655 (0.891948) | 1.577827 / 1.504120 (0.073707) | 1.440768 / 1.541195 (-0.100427) | 1.494526 / 1.468490 (0.026035) | 0.574599 / 4.584777 (-4.010178) | 0.963300 / 3.745712 (-2.782412) | 2.847854 / 5.269862 (-2.422008) | 1.841248 / 4.565676 (-2.724428) | 0.062321 / 0.424275 (-0.361954) | 0.005389 / 0.007607 (-0.002218) | 0.350853 / 0.226044 (0.124808) | 3.463514 / 2.268929 (1.194586) | 1.937661 / 55.444624 (-53.506964) | 1.665320 / 6.876477 (-5.211157) | 1.849028 / 2.142072 (-0.293044) | 0.655333 / 4.805227 (-4.149894) | 0.119062 / 6.500664 (-6.381602) | 0.043387 / 0.075469 (-0.032082) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.004118 / 1.841788 (-0.837670) | 13.350894 / 8.074308 (5.276585) | 11.179363 / 10.191392 (0.987971) | 0.135169 / 0.680424 (-0.545255) | 0.016298 / 0.534201 (-0.517903) | 0.288467 / 0.579283 (-0.290816) | 0.132712 / 0.434364 (-0.301651) | 0.325436 / 0.540337 (-0.214901) | 0.413406 / 1.386936 (-0.973530) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#670e1cf31606f397ae0f858b568b1b4ed50c1843 \"CML watermark\")\n" ]

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[ "@mariosasko, @lhoestq, @albertvillanova\r\nHello! Can anyone help? or can you guys suggest who can help with this?", "Hi ! Feel free to download the dataset and create a `Dataset` object with it.\r\n\r\nThen your'll be able to use `push_to_hub()` to upload the dataset to HF in Parquet format and make it streamable :)", "> Hi ! Feel free to download the dataset and create a `Dataset` object with it.\r\n> \r\n> Then your'll be able to use `push_to_hub()` to upload the dataset to HF in Parquet format and make it streamable :)\r\n\r\nThe dataset is several TB in total, which I do not have the resources to handle." ]

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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6911). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005136 / 0.011353 (-0.006217) | 0.003136 / 0.011008 (-0.007872) | 0.063752 / 0.038508 (0.025244) | 0.031060 / 0.023109 (0.007950) | 0.249848 / 0.275898 (-0.026050) | 0.275918 / 0.323480 (-0.047561) | 0.004047 / 0.007986 (-0.003938) | 0.002696 / 0.004328 (-0.001632) | 0.049884 / 0.004250 (0.045634) | 0.044646 / 0.037052 (0.007593) | 0.264769 / 0.258489 (0.006280) | 0.299874 / 0.293841 (0.006033) | 0.027530 / 0.128546 (-0.101016) | 0.010026 / 0.075646 (-0.065620) | 0.204007 / 0.419271 (-0.215265) | 0.035982 / 0.043533 (-0.007550) | 0.253560 / 0.255139 (-0.001579) | 0.276206 / 0.283200 (-0.006993) | 0.017770 / 0.141683 (-0.123913) | 1.156008 / 1.452155 (-0.296146) | 1.197265 / 1.492716 (-0.295451) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.092960 / 0.018006 (0.074954) | 0.302876 / 0.000490 (0.302386) | 0.000214 / 0.000200 (0.000014) | 0.000044 / 0.000054 (-0.000010) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019060 / 0.037411 (-0.018351) | 0.062262 / 0.014526 (0.047737) | 0.073836 / 0.176557 (-0.102721) | 0.122327 / 0.737135 (-0.614809) | 0.076050 / 0.296338 (-0.220289) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.282489 / 0.215209 (0.067280) | 2.745084 / 2.077655 (0.667429) | 1.453044 / 1.504120 (-0.051076) | 1.339065 / 1.541195 (-0.202130) | 1.341395 / 1.468490 (-0.127095) | 0.586497 / 4.584777 (-3.998280) | 2.342198 / 3.745712 (-1.403514) | 2.684984 / 5.269862 (-2.584878) | 1.703738 / 4.565676 (-2.861939) | 0.062489 / 0.424275 (-0.361786) | 0.004906 / 0.007607 (-0.002701) | 0.332325 / 0.226044 (0.106280) | 3.255381 / 2.268929 (0.986452) | 1.797045 / 55.444624 (-53.647579) | 1.515197 / 6.876477 (-5.361280) | 1.508317 / 2.142072 (-0.633756) | 0.635973 / 4.805227 (-4.169254) | 0.117292 / 6.500664 (-6.383372) | 0.041456 / 0.075469 (-0.034013) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.973934 / 1.841788 (-0.867853) | 11.288665 / 8.074308 (3.214356) | 9.269404 / 10.191392 (-0.921988) | 0.143190 / 0.680424 (-0.537234) | 0.014366 / 0.534201 (-0.519835) | 0.285936 / 0.579283 (-0.293347) | 0.261632 / 0.434364 (-0.172732) | 0.327191 / 0.540337 (-0.213146) | 0.418900 / 1.386936 (-0.968036) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005131 / 0.011353 (-0.006222) | 0.003181 / 0.011008 (-0.007827) | 0.049697 / 0.038508 (0.011189) | 0.032754 / 0.023109 (0.009645) | 0.263954 / 0.275898 (-0.011944) | 0.285110 / 0.323480 (-0.038370) | 0.004133 / 0.007986 (-0.003852) | 0.002713 / 0.004328 (-0.001615) | 0.051684 / 0.004250 (0.047433) | 0.040607 / 0.037052 (0.003554) | 0.277919 / 0.258489 (0.019429) | 0.304773 / 0.293841 (0.010932) | 0.029530 / 0.128546 (-0.099016) | 0.010176 / 0.075646 (-0.065470) | 0.058501 / 0.419271 (-0.360771) | 0.033436 / 0.043533 (-0.010097) | 0.269899 / 0.255139 (0.014760) | 0.284490 / 0.283200 (0.001290) | 0.017092 / 0.141683 (-0.124591) | 1.132399 / 1.452155 (-0.319756) | 1.167290 / 1.492716 (-0.325427) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.094460 / 0.018006 (0.076454) | 0.301462 / 0.000490 (0.300972) | 0.000202 / 0.000200 (0.000002) | 0.000052 / 0.000054 (-0.000003) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022767 / 0.037411 (-0.014645) | 0.075993 / 0.014526 (0.061467) | 0.087729 / 0.176557 (-0.088827) | 0.127599 / 0.737135 (-0.609536) | 0.088873 / 0.296338 (-0.207465) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.286420 / 0.215209 (0.071211) | 2.811376 / 2.077655 (0.733722) | 1.558645 / 1.504120 (0.054525) | 1.426371 / 1.541195 (-0.114824) | 1.422347 / 1.468490 (-0.046143) | 0.567181 / 4.584777 (-4.017596) | 0.936731 / 3.745712 (-2.808982) | 2.643566 / 5.269862 (-2.626296) | 1.727843 / 4.565676 (-2.837834) | 0.062748 / 0.424275 (-0.361527) | 0.005033 / 0.007607 (-0.002574) | 0.339708 / 0.226044 (0.113663) | 3.354119 / 2.268929 (1.085190) | 1.877594 / 55.444624 (-53.567030) | 1.589202 / 6.876477 (-5.287274) | 1.707780 / 2.142072 (-0.434292) | 0.644520 / 4.805227 (-4.160708) | 0.115226 / 6.500664 (-6.385438) | 0.040004 / 0.075469 (-0.035465) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.002774 / 1.841788 (-0.839014) | 11.812647 / 8.074308 (3.738339) | 10.384198 / 10.191392 (0.192806) | 0.131120 / 0.680424 (-0.549304) | 0.014862 / 0.534201 (-0.519339) | 0.282873 / 0.579283 (-0.296410) | 0.120415 / 0.434364 (-0.313949) | 0.321995 / 0.540337 (-0.218343) | 0.441987 / 1.386936 (-0.944949) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#b12a2c5016499cc1d110798c6815f0245f61010e \"CML watermark\")\n" ]

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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6910). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005135 / 0.011353 (-0.006218) | 0.003757 / 0.011008 (-0.007251) | 0.063122 / 0.038508 (0.024614) | 0.029837 / 0.023109 (0.006727) | 0.246120 / 0.275898 (-0.029778) | 0.268529 / 0.323480 (-0.054951) | 0.004136 / 0.007986 (-0.003849) | 0.002650 / 0.004328 (-0.001678) | 0.048749 / 0.004250 (0.044499) | 0.045279 / 0.037052 (0.008226) | 0.257970 / 0.258489 (-0.000519) | 0.285993 / 0.293841 (-0.007848) | 0.027612 / 0.128546 (-0.100935) | 0.010175 / 0.075646 (-0.065471) | 0.207373 / 0.419271 (-0.211899) | 0.037672 / 0.043533 (-0.005861) | 0.249603 / 0.255139 (-0.005536) | 0.271081 / 0.283200 (-0.012119) | 0.018174 / 0.141683 (-0.123509) | 1.116703 / 1.452155 (-0.335452) | 1.169261 / 1.492716 (-0.323455) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.095161 / 0.018006 (0.077155) | 0.301112 / 0.000490 (0.300623) | 0.000221 / 0.000200 (0.000021) | 0.000042 / 0.000054 (-0.000012) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023218 / 0.037411 (-0.014193) | 0.063125 / 0.014526 (0.048599) | 0.075857 / 0.176557 (-0.100699) | 0.137922 / 0.737135 (-0.599213) | 0.076989 / 0.296338 (-0.219349) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.279272 / 0.215209 (0.064063) | 2.776463 / 2.077655 (0.698809) | 1.472220 / 1.504120 (-0.031900) | 1.347105 / 1.541195 (-0.194090) | 1.361014 / 1.468490 (-0.107476) | 0.589233 / 4.584777 (-3.995544) | 2.395212 / 3.745712 (-1.350500) | 2.794855 / 5.269862 (-2.475007) | 1.698350 / 4.565676 (-2.867327) | 0.063328 / 0.424275 (-0.360947) | 0.005020 / 0.007607 (-0.002588) | 0.335872 / 0.226044 (0.109828) | 3.293486 / 2.268929 (1.024558) | 1.837270 / 55.444624 (-53.607354) | 1.535694 / 6.876477 (-5.340782) | 1.559696 / 2.142072 (-0.582376) | 0.639302 / 4.805227 (-4.165925) | 0.116554 / 6.500664 (-6.384110) | 0.042305 / 0.075469 (-0.033164) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.971562 / 1.841788 (-0.870226) | 11.710500 / 8.074308 (3.636192) | 9.505935 / 10.191392 (-0.685457) | 0.139161 / 0.680424 (-0.541263) | 0.014351 / 0.534201 (-0.519850) | 0.285790 / 0.579283 (-0.293493) | 0.265718 / 0.434364 (-0.168646) | 0.323558 / 0.540337 (-0.216780) | 0.412635 / 1.386936 (-0.974301) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005987 / 0.011353 (-0.005366) | 0.003787 / 0.011008 (-0.007221) | 0.049839 / 0.038508 (0.011331) | 0.032817 / 0.023109 (0.009708) | 0.268304 / 0.275898 (-0.007594) | 0.303409 / 0.323480 (-0.020071) | 0.004924 / 0.007986 (-0.003061) | 0.002740 / 0.004328 (-0.001589) | 0.048906 / 0.004250 (0.044655) | 0.044266 / 0.037052 (0.007213) | 0.290506 / 0.258489 (0.032017) | 0.314124 / 0.293841 (0.020283) | 0.030242 / 0.128546 (-0.098304) | 0.010555 / 0.075646 (-0.065091) | 0.058849 / 0.419271 (-0.360423) | 0.033540 / 0.043533 (-0.009993) | 0.267833 / 0.255139 (0.012694) | 0.291056 / 0.283200 (0.007857) | 0.018611 / 0.141683 (-0.123072) | 1.137620 / 1.452155 (-0.314534) | 1.199554 / 1.492716 (-0.293162) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.096716 / 0.018006 (0.078709) | 0.302033 / 0.000490 (0.301543) | 0.000217 / 0.000200 (0.000017) | 0.000044 / 0.000054 (-0.000010) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023208 / 0.037411 (-0.014203) | 0.076231 / 0.014526 (0.061705) | 0.088672 / 0.176557 (-0.087884) | 0.129033 / 0.737135 (-0.608103) | 0.090709 / 0.296338 (-0.205630) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.297033 / 0.215209 (0.081824) | 2.951181 / 2.077655 (0.873526) | 1.567690 / 1.504120 (0.063570) | 1.436809 / 1.541195 (-0.104385) | 1.469696 / 1.468490 (0.001206) | 0.567963 / 4.584777 (-4.016813) | 0.954168 / 3.745712 (-2.791544) | 2.700473 / 5.269862 (-2.569389) | 1.742144 / 4.565676 (-2.823532) | 0.065027 / 0.424275 (-0.359248) | 0.005319 / 0.007607 (-0.002288) | 0.346459 / 0.226044 (0.120415) | 3.446117 / 2.268929 (1.177189) | 1.953142 / 55.444624 (-53.491483) | 1.639131 / 6.876477 (-5.237346) | 1.830664 / 2.142072 (-0.311409) | 0.657807 / 4.805227 (-4.147420) | 0.117987 / 6.500664 (-6.382678) | 0.040726 / 0.075469 (-0.034744) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.992666 / 1.841788 (-0.849122) | 12.305377 / 8.074308 (4.231069) | 10.274829 / 10.191392 (0.083437) | 0.141731 / 0.680424 (-0.538692) | 0.015100 / 0.534201 (-0.519101) | 0.282298 / 0.579283 (-0.296985) | 0.124301 / 0.434364 (-0.310063) | 0.320914 / 0.540337 (-0.219424) | 0.445855 / 1.386936 (-0.941081) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#3b66daa02b3307079a90fbfd13856e9bec0fc1ab \"CML watermark\")\n" ]

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[]

[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6909). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005375 / 0.011353 (-0.005978) | 0.004005 / 0.011008 (-0.007003) | 0.062407 / 0.038508 (0.023899) | 0.032241 / 0.023109 (0.009131) | 0.256092 / 0.275898 (-0.019806) | 0.285740 / 0.323480 (-0.037740) | 0.004146 / 0.007986 (-0.003839) | 0.002831 / 0.004328 (-0.001497) | 0.049179 / 0.004250 (0.044928) | 0.048303 / 0.037052 (0.011251) | 0.270841 / 0.258489 (0.012352) | 0.303209 / 0.293841 (0.009368) | 0.027642 / 0.128546 (-0.100905) | 0.010661 / 0.075646 (-0.064985) | 0.201999 / 0.419271 (-0.217272) | 0.036532 / 0.043533 (-0.007001) | 0.262441 / 0.255139 (0.007302) | 0.280944 / 0.283200 (-0.002256) | 0.018369 / 0.141683 (-0.123314) | 1.122249 / 1.452155 (-0.329906) | 1.171352 / 1.492716 (-0.321364) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.096433 / 0.018006 (0.078427) | 0.297272 / 0.000490 (0.296782) | 0.000222 / 0.000200 (0.000023) | 0.000043 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019645 / 0.037411 (-0.017766) | 0.062744 / 0.014526 (0.048219) | 0.076096 / 0.176557 (-0.100460) | 0.121882 / 0.737135 (-0.615253) | 0.076267 / 0.296338 (-0.220072) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.274159 / 0.215209 (0.058950) | 2.729371 / 2.077655 (0.651716) | 1.454328 / 1.504120 (-0.049792) | 1.330517 / 1.541195 (-0.210678) | 1.338832 / 1.468490 (-0.129658) | 0.600252 / 4.584777 (-3.984525) | 2.388658 / 3.745712 (-1.357054) | 2.837717 / 5.269862 (-2.432145) | 1.747329 / 4.565676 (-2.818347) | 0.064620 / 0.424275 (-0.359655) | 0.004955 / 0.007607 (-0.002653) | 0.340253 / 0.226044 (0.114209) | 3.351559 / 2.268929 (1.082630) | 1.822718 / 55.444624 (-53.621907) | 1.518663 / 6.876477 (-5.357814) | 1.548066 / 2.142072 (-0.594006) | 0.663525 / 4.805227 (-4.141702) | 0.118334 / 6.500664 (-6.382331) | 0.042060 / 0.075469 (-0.033410) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.976509 / 1.841788 (-0.865278) | 11.703321 / 8.074308 (3.629013) | 9.305605 / 10.191392 (-0.885787) | 0.131016 / 0.680424 (-0.549408) | 0.014299 / 0.534201 (-0.519902) | 0.293963 / 0.579283 (-0.285320) | 0.264018 / 0.434364 (-0.170345) | 0.330265 / 0.540337 (-0.210073) | 0.427239 / 1.386936 (-0.959697) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005437 / 0.011353 (-0.005916) | 0.003774 / 0.011008 (-0.007234) | 0.049927 / 0.038508 (0.011419) | 0.032246 / 0.023109 (0.009137) | 0.271808 / 0.275898 (-0.004090) | 0.295652 / 0.323480 (-0.027828) | 0.004220 / 0.007986 (-0.003766) | 0.002803 / 0.004328 (-0.001525) | 0.049656 / 0.004250 (0.045406) | 0.041938 / 0.037052 (0.004885) | 0.282199 / 0.258489 (0.023710) | 0.310206 / 0.293841 (0.016365) | 0.030389 / 0.128546 (-0.098157) | 0.010593 / 0.075646 (-0.065054) | 0.057862 / 0.419271 (-0.361409) | 0.033937 / 0.043533 (-0.009596) | 0.268920 / 0.255139 (0.013781) | 0.286000 / 0.283200 (0.002800) | 0.018766 / 0.141683 (-0.122917) | 1.118556 / 1.452155 (-0.333599) | 1.175083 / 1.492716 (-0.317633) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.095135 / 0.018006 (0.077129) | 0.304735 / 0.000490 (0.304245) | 0.000210 / 0.000200 (0.000010) | 0.000054 / 0.000054 (-0.000000) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022971 / 0.037411 (-0.014441) | 0.076204 / 0.014526 (0.061678) | 0.090801 / 0.176557 (-0.085756) | 0.130149 / 0.737135 (-0.606987) | 0.090986 / 0.296338 (-0.205352) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.298535 / 0.215209 (0.083326) | 2.882959 / 2.077655 (0.805304) | 1.574018 / 1.504120 (0.069899) | 1.445251 / 1.541195 (-0.095944) | 1.483651 / 1.468490 (0.015160) | 0.572012 / 4.584777 (-4.012765) | 0.972223 / 3.745712 (-2.773489) | 2.745776 / 5.269862 (-2.524085) | 1.783980 / 4.565676 (-2.781697) | 0.063910 / 0.424275 (-0.360365) | 0.005397 / 0.007607 (-0.002210) | 0.349104 / 0.226044 (0.123059) | 3.433303 / 2.268929 (1.164374) | 1.961506 / 55.444624 (-53.483119) | 1.665905 / 6.876477 (-5.210571) | 1.800977 / 2.142072 (-0.341095) | 0.655843 / 4.805227 (-4.149384) | 0.118320 / 6.500664 (-6.382345) | 0.041748 / 0.075469 (-0.033722) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.006835 / 1.841788 (-0.834952) | 12.506123 / 8.074308 (4.431815) | 10.564310 / 10.191392 (0.372918) | 0.143121 / 0.680424 (-0.537303) | 0.016340 / 0.534201 (-0.517861) | 0.284181 / 0.579283 (-0.295102) | 0.125975 / 0.434364 (-0.308389) | 0.324369 / 0.540337 (-0.215969) | 0.443713 / 1.386936 (-0.943223) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#60d21efbc01e15d0b596ac1072750cbecd91548a \"CML watermark\")\n" ]

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