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url stringlengths 61 61	repository_url stringclasses 1 value	labels_url stringlengths 75 75	comments_url stringlengths 70 70	events_url stringlengths 68 68	html_url stringlengths 49 51	id int64 1.8B 2.34B	node_id stringlengths 18 19	number int64 6.03k 6.96k	title stringlengths 3 280	user dict	labels listlengths 0 2	state stringclasses 2 values	locked bool 1 class	assignee dict	assignees listlengths 0 1	milestone dict	comments sequencelengths 0 24	created_at timestamp[s]	updated_at timestamp[s]	closed_at timestamp[s]	author_association stringclasses 4 values	active_lock_reason null	body stringlengths 3 19.4k ⌀	reactions dict	timeline_url stringlengths 70 70	performed_via_github_app null	state_reason stringclasses 3 values	draft bool 2 classes	pull_request dict	is_pull_request bool 2 classes
https://api.github.com/repos/huggingface/datasets/issues/6958	https://api.github.com/repos/huggingface/datasets	https://api.github.com/repos/huggingface/datasets/issues/6958/labels{/name}	https://api.github.com/repos/huggingface/datasets/issues/6958/comments	https://api.github.com/repos/huggingface/datasets/issues/6958/events	https://github.com/huggingface/datasets/issues/6958	2,337,476,383	I_kwDODunzps6LUw8f	6,958	My Private Dataset doesn't exist on the Hub or cannot be accessed	{ "login": "wangguan1995", "id": 39621324, "node_id": "MDQ6VXNlcjM5NjIxMzI0", "avatar_url": "https://avatars.githubusercontent.com/u/39621324?v=4", "gravatar_id": "", "url": "https://api.github.com/users/wangguan1995", "html_url": "https://github.com/wangguan1995", "followers_url": "https://api.github.com/users/wangguan1995/followers", "following_url": "https://api.github.com/users/wangguan1995/following{/other_user}", "gists_url": "https://api.github.com/users/wangguan1995/gists{/gist_id}", "starred_url": "https://api.github.com/users/wangguan1995/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/wangguan1995/subscriptions", "organizations_url": "https://api.github.com/users/wangguan1995/orgs", "repos_url": "https://api.github.com/users/wangguan1995/repos", "events_url": "https://api.github.com/users/wangguan1995/events{/privacy}", "received_events_url": "https://api.github.com/users/wangguan1995/received_events", "type": "User", "site_admin": false }	[]	open	false	null	[]	null	[ "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![image](https://github.com/huggingface/datasets/assets/39621324/4aceef59-0c65-4161-9665-676d25d73225)\r\n\r\nIt just works fine.", "It seems that everything is in a mass huh....\r\n\r\n![image](https://github.com/huggingface/datasets/assets/39621324/fb2fe12c-4f0a-4bf6-9656-63ba50347b10)\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" ]	2024-06-06T06:52:19	2024-06-06T07:52:03	null	NONE	null	### Describe the bug ``` File "/root/miniconda3/envs/gino_conda/lib/python3.9/site-packages/datasets/load.py", line 1852, in dataset_module_factory raise DatasetNotFoundError(msg + f" at revision '{revision}'" if revision else msg) datasets.exceptions.DatasetNotFoundError: Dataset 'xxx' doesn't exist on the Hub or cannot be accessed >>> dataset = load_dataset("xxxx", token=True) 404 error 404 Client Error. (Request ID: Root=xxxx) Repository Not Found for url: https://huggingface.co/api/datasets/xxx/xxx. Please make sure you specified the correct `repo_id` and `repo_type`. If you are trying to access a private or gated repo, make sure you are authenticated. Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/root/miniconda3/envs/gino_conda/lib/python3.9/site-packages/datasets/load.py", line 2593, in load_dataset builder_instance = load_dataset_builder( File "/root/miniconda3/envs/gino_conda/lib/python3.9/site-packages/datasets/load.py", line 2265, in load_dataset_builder dataset_module = dataset_module_factory( File "/root/miniconda3/envs/gino_conda/lib/python3.9/site-packages/datasets/load.py", line 1910, in dataset_module_factory raise e1 from None File "/root/miniconda3/envs/gino_conda/lib/python3.9/site-packages/datasets/load.py", line 1852, in dataset_module_factory raise DatasetNotFoundError(msg + f" at revision '{revision}'" if revision else msg) datasets.exceptions.DatasetNotFoundError: Dataset 'xxx' doesn't exist on the Hub or cannot be accessed ``` ### Steps to reproduce the bug 123 ### Expected behavior 123 ### Environment info 123	{ "url": "https://api.github.com/repos/huggingface/datasets/issues/6958/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }	https://api.github.com/repos/huggingface/datasets/issues/6958/timeline	null	null	null	null	false
https://api.github.com/repos/huggingface/datasets/issues/6957	https://api.github.com/repos/huggingface/datasets	https://api.github.com/repos/huggingface/datasets/issues/6957/labels{/name}	https://api.github.com/repos/huggingface/datasets/issues/6957/comments	https://api.github.com/repos/huggingface/datasets/issues/6957/events	https://github.com/huggingface/datasets/pull/6957	2,335,559,400	PR_kwDODunzps5xiTwJ	6,957	Fix typos in docs	{ "login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/users/albertvillanova/followers", "following_url": "https://api.github.com/users/albertvillanova/following{/other_user}", "gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}", "starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions", "organizations_url": "https://api.github.com/users/albertvillanova/orgs", "repos_url": "https://api.github.com/users/albertvillanova/repos", "events_url": "https://api.github.com/users/albertvillanova/events{/privacy}", "received_events_url": "https://api.github.com/users/albertvillanova/received_events", "type": "User", "site_admin": false }	[]	closed	false	null	[]	null	[ "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" ]	2024-06-05T10:46:47	2024-06-05T13:01:07	2024-06-05T12:43:26	MEMBER	null	Fix typos in docs introduced by: - #6956 Typos: - `comparisions` => `comparisons` - two consecutive sentences both ending in colon - split one sentence into two Sorry, I did not have time to review that PR. CC: @lhoestq	{ "url": "https://api.github.com/repos/huggingface/datasets/issues/6957/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }	https://api.github.com/repos/huggingface/datasets/issues/6957/timeline	null	null	false	{ "url": "https://api.github.com/repos/huggingface/datasets/pulls/6957", "html_url": "https://github.com/huggingface/datasets/pull/6957", "diff_url": "https://github.com/huggingface/datasets/pull/6957.diff", "patch_url": "https://github.com/huggingface/datasets/pull/6957.patch", "merged_at": "2024-06-05T12:43:26" }	true
https://api.github.com/repos/huggingface/datasets/issues/6956	https://api.github.com/repos/huggingface/datasets	https://api.github.com/repos/huggingface/datasets/issues/6956/labels{/name}	https://api.github.com/repos/huggingface/datasets/issues/6956/comments	https://api.github.com/repos/huggingface/datasets/issues/6956/events	https://github.com/huggingface/datasets/pull/6956	2,333,940,021	PR_kwDODunzps5xcwXz	6,956	update docs on N-dim arrays	{ "login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers", "following_url": "https://api.github.com/users/lhoestq/following{/other_user}", "gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}", "starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions", "organizations_url": "https://api.github.com/users/lhoestq/orgs", "repos_url": "https://api.github.com/users/lhoestq/repos", "events_url": "https://api.github.com/users/lhoestq/events{/privacy}", "received_events_url": "https://api.github.com/users/lhoestq/received_events", "type": "User", "site_admin": false }	[]	closed	false	null	[]	null	[ "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" ]	2024-06-04T16:32:19	2024-06-04T16:46:34	2024-06-04T16:40:27	MEMBER	null	null	{ "url": "https://api.github.com/repos/huggingface/datasets/issues/6956/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }	https://api.github.com/repos/huggingface/datasets/issues/6956/timeline	null	null	false	{ "url": "https://api.github.com/repos/huggingface/datasets/pulls/6956", "html_url": "https://github.com/huggingface/datasets/pull/6956", "diff_url": "https://github.com/huggingface/datasets/pull/6956.diff", "patch_url": "https://github.com/huggingface/datasets/pull/6956.patch", "merged_at": "2024-06-04T16:40:27" }	true
https://api.github.com/repos/huggingface/datasets/issues/6955	https://api.github.com/repos/huggingface/datasets	https://api.github.com/repos/huggingface/datasets/issues/6955/labels{/name}	https://api.github.com/repos/huggingface/datasets/issues/6955/comments	https://api.github.com/repos/huggingface/datasets/issues/6955/events	https://github.com/huggingface/datasets/pull/6955	2,333,802,815	PR_kwDODunzps5xcSYm	6,955	Fix small typo	{ "login": "marcenacp", "id": 17081356, "node_id": "MDQ6VXNlcjE3MDgxMzU2", "avatar_url": "https://avatars.githubusercontent.com/u/17081356?v=4", "gravatar_id": "", "url": "https://api.github.com/users/marcenacp", "html_url": "https://github.com/marcenacp", "followers_url": "https://api.github.com/users/marcenacp/followers", "following_url": "https://api.github.com/users/marcenacp/following{/other_user}", "gists_url": "https://api.github.com/users/marcenacp/gists{/gist_id}", "starred_url": "https://api.github.com/users/marcenacp/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/marcenacp/subscriptions", "organizations_url": "https://api.github.com/users/marcenacp/orgs", "repos_url": "https://api.github.com/users/marcenacp/repos", "events_url": "https://api.github.com/users/marcenacp/events{/privacy}", "received_events_url": "https://api.github.com/users/marcenacp/received_events", "type": "User", "site_admin": false }	[]	closed	false	null	[]	null	[ "<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" ]	2024-06-04T15:19:02	2024-06-05T10:18:56	2024-06-04T15:20:55	CONTRIBUTOR	null	null	{ "url": "https://api.github.com/repos/huggingface/datasets/issues/6955/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }	https://api.github.com/repos/huggingface/datasets/issues/6955/timeline	null	null	false	{ "url": "https://api.github.com/repos/huggingface/datasets/pulls/6955", "html_url": "https://github.com/huggingface/datasets/pull/6955", "diff_url": "https://github.com/huggingface/datasets/pull/6955.diff", "patch_url": "https://github.com/huggingface/datasets/pull/6955.patch", "merged_at": "2024-06-04T15:20:55" }	true
https://api.github.com/repos/huggingface/datasets/issues/6954	https://api.github.com/repos/huggingface/datasets	https://api.github.com/repos/huggingface/datasets/issues/6954/labels{/name}	https://api.github.com/repos/huggingface/datasets/issues/6954/comments	https://api.github.com/repos/huggingface/datasets/issues/6954/events	https://github.com/huggingface/datasets/pull/6954	2,333,530,558	PR_kwDODunzps5xbWtU	6,954	Remove default `trust_remote_code=True`	{ "login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers", "following_url": "https://api.github.com/users/lhoestq/following{/other_user}", "gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}", "starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions", "organizations_url": "https://api.github.com/users/lhoestq/orgs", "repos_url": "https://api.github.com/users/lhoestq/repos", "events_url": "https://api.github.com/users/lhoestq/events{/privacy}", "received_events_url": "https://api.github.com/users/lhoestq/received_events", "type": "User", "site_admin": false }	[]	open	false	null	[]	null	[ "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! 🎉 " ]	2024-06-04T13:22:56	2024-06-06T16:46:08	null	MEMBER	null	TODO: - [ ] fix tests	{ "url": "https://api.github.com/repos/huggingface/datasets/issues/6954/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }	https://api.github.com/repos/huggingface/datasets/issues/6954/timeline	null	null	true	{ "url": "https://api.github.com/repos/huggingface/datasets/pulls/6954", "html_url": "https://github.com/huggingface/datasets/pull/6954", "diff_url": "https://github.com/huggingface/datasets/pull/6954.diff", "patch_url": "https://github.com/huggingface/datasets/pull/6954.patch", "merged_at": null }	true
https://api.github.com/repos/huggingface/datasets/issues/6953	https://api.github.com/repos/huggingface/datasets	https://api.github.com/repos/huggingface/datasets/issues/6953/labels{/name}	https://api.github.com/repos/huggingface/datasets/issues/6953/comments	https://api.github.com/repos/huggingface/datasets/issues/6953/events	https://github.com/huggingface/datasets/issues/6953	2,333,366,120	I_kwDODunzps6LFFdo	6,953	Remove canonical datasets from docs	{ "login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/users/albertvillanova/followers", "following_url": "https://api.github.com/users/albertvillanova/following{/other_user}", "gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}", "starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions", "organizations_url": "https://api.github.com/users/albertvillanova/orgs", "repos_url": "https://api.github.com/users/albertvillanova/repos", "events_url": "https://api.github.com/users/albertvillanova/events{/privacy}", "received_events_url": "https://api.github.com/users/albertvillanova/received_events", "type": "User", "site_admin": false }	[ { "id": 1935892861, "node_id": "MDU6TGFiZWwxOTM1ODkyODYx", "url": "https://api.github.com/repos/huggingface/datasets/labels/documentation", "name": "documentation", "color": "0075ca", "default": true, "description": "Improvements or additions to documentation" } ]	open	false	null	[]	null	[]	2024-06-04T12:09:03	2024-06-04T12:09:03	null	MEMBER	null	Remove canonical datasets from docs, now that we no longer have canonical datasets.	{ "url": "https://api.github.com/repos/huggingface/datasets/issues/6953/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }	https://api.github.com/repos/huggingface/datasets/issues/6953/timeline	null	null	null	null	false
https://api.github.com/repos/huggingface/datasets/issues/6952	https://api.github.com/repos/huggingface/datasets	https://api.github.com/repos/huggingface/datasets/issues/6952/labels{/name}	https://api.github.com/repos/huggingface/datasets/issues/6952/comments	https://api.github.com/repos/huggingface/datasets/issues/6952/events	https://github.com/huggingface/datasets/pull/6952	2,333,320,411	PR_kwDODunzps5xaosH	6,952	Move info_utils errors to exceptions module	{ "login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/users/albertvillanova/followers", "following_url": "https://api.github.com/users/albertvillanova/following{/other_user}", "gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}", "starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions", "organizations_url": "https://api.github.com/users/albertvillanova/orgs", "repos_url": "https://api.github.com/users/albertvillanova/repos", "events_url": "https://api.github.com/users/albertvillanova/events{/privacy}", "received_events_url": "https://api.github.com/users/albertvillanova/received_events", "type": "User", "site_admin": false }	[]	open	false	null	[]	null	[ "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." ]	2024-06-04T11:48:32	2024-06-05T17:39:24	null	MEMBER	null	Move `info_utils` errors to `exceptions` module. Additionally rename some of them, deprecate the former ones, and make the deprecation backward compatible (by making the new errors inherit from the former ones).	{ "url": "https://api.github.com/repos/huggingface/datasets/issues/6952/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }	https://api.github.com/repos/huggingface/datasets/issues/6952/timeline	null	null	false	{ "url": "https://api.github.com/repos/huggingface/datasets/pulls/6952", "html_url": "https://github.com/huggingface/datasets/pull/6952", "diff_url": "https://github.com/huggingface/datasets/pull/6952.diff", "patch_url": "https://github.com/huggingface/datasets/pull/6952.patch", "merged_at": null }	true
https://api.github.com/repos/huggingface/datasets/issues/6951	https://api.github.com/repos/huggingface/datasets	https://api.github.com/repos/huggingface/datasets/issues/6951/labels{/name}	https://api.github.com/repos/huggingface/datasets/issues/6951/comments	https://api.github.com/repos/huggingface/datasets/issues/6951/events	https://github.com/huggingface/datasets/issues/6951	2,333,231,042	I_kwDODunzps6LEkfC	6,951	load_dataset() should load all subsets, if no specific subset is specified	{ "login": "windmaple", "id": 5577741, "node_id": "MDQ6VXNlcjU1Nzc3NDE=", "avatar_url": "https://avatars.githubusercontent.com/u/5577741?v=4", "gravatar_id": "", "url": "https://api.github.com/users/windmaple", "html_url": "https://github.com/windmaple", "followers_url": "https://api.github.com/users/windmaple/followers", "following_url": "https://api.github.com/users/windmaple/following{/other_user}", "gists_url": "https://api.github.com/users/windmaple/gists{/gist_id}", "starred_url": "https://api.github.com/users/windmaple/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/windmaple/subscriptions", "organizations_url": "https://api.github.com/users/windmaple/orgs", "repos_url": "https://api.github.com/users/windmaple/repos", "events_url": "https://api.github.com/users/windmaple/events{/privacy}", "received_events_url": "https://api.github.com/users/windmaple/received_events", "type": "User", "site_admin": false }	[ { "id": 1935892871, "node_id": "MDU6TGFiZWwxOTM1ODkyODcx", "url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement", "name": "enhancement", "color": "a2eeef", "default": true, "description": "New feature or request" } ]	open	false	null	[]	null	[ "@xianbaoqian " ]	2024-06-04T11:02:33	2024-06-04T11:02:49	null	NONE	null	### Feature request Currently load_dataset() is forcing users to specify a subset. Example `from datasets import load_dataset dataset = load_dataset("m-a-p/COIG-CQIA")` ```--------------------------------------------------------------------------- ValueError Traceback (most recent call last) [<ipython-input-10-c0cb49385da6>](https://localhost:8080/#) in <cell line: 2>() 1 from datasets import load_dataset ----> 2 dataset = load_dataset("m-a-p/COIG-CQIA") 3 frames [/usr/local/lib/python3.10/dist-packages/datasets/builder.py](https://localhost:8080/#) in _create_builder_config(self, config_name, custom_features, **config_kwargs) 582 if not config_kwargs: 583 example_of_usage = f"load_dataset('{self.dataset_name}', '{self.BUILDER_CONFIGS[0].name}')" --> 584 raise ValueError( 585 "Config name is missing." 586 f"\nPlease pick one among the available configs: {list(self.builder_configs.keys())}" ValueError: Config name is missing. Please pick one among the available configs: ['chinese_traditional', 'coig_pc', 'exam', 'finance', 'douban', 'human_value', 'logi_qa', 'ruozhiba', 'segmentfault', 'wiki', 'wikihow', 'xhs', 'zhihu'] Example of usage: `load_dataset('coig-cqia', 'chinese_traditional')` ``` This means a dataset cannot contain all the subsets at the same time. I guess one workaround is to manually specify the subset files like in [here](https://huggingface.co/datasets/m-a-p/COIG-CQIA/discussions/1#658698b44bb41498f75c5622), which is clumsy. ### Motivation Ideally, if not subset is specified, the API should just try to load all subsets. This makes it much easier to handle datasets w/ subsets. ### Your contribution Not sure since I'm not familiar w/ the lib src.	{ "url": "https://api.github.com/repos/huggingface/datasets/issues/6951/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }	https://api.github.com/repos/huggingface/datasets/issues/6951/timeline	null	null	null	null	false
https://api.github.com/repos/huggingface/datasets/issues/6950	https://api.github.com/repos/huggingface/datasets	https://api.github.com/repos/huggingface/datasets/issues/6950/labels{/name}	https://api.github.com/repos/huggingface/datasets/issues/6950/comments	https://api.github.com/repos/huggingface/datasets/issues/6950/events	https://github.com/huggingface/datasets/issues/6950	2,333,005,974	I_kwDODunzps6LDtiW	6,950	`Dataset.with_format` behaves inconsistently with documentation	{ "login": "iansheng", "id": 42494185, "node_id": "MDQ6VXNlcjQyNDk0MTg1", "avatar_url": "https://avatars.githubusercontent.com/u/42494185?v=4", "gravatar_id": "", "url": "https://api.github.com/users/iansheng", "html_url": "https://github.com/iansheng", "followers_url": "https://api.github.com/users/iansheng/followers", "following_url": "https://api.github.com/users/iansheng/following{/other_user}", "gists_url": "https://api.github.com/users/iansheng/gists{/gist_id}", "starred_url": "https://api.github.com/users/iansheng/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/iansheng/subscriptions", "organizations_url": "https://api.github.com/users/iansheng/orgs", "repos_url": "https://api.github.com/users/iansheng/repos", "events_url": "https://api.github.com/users/iansheng/events{/privacy}", "received_events_url": "https://api.github.com/users/iansheng/received_events", "type": "User", "site_admin": false }	[ { "id": 1935892861, "node_id": "MDU6TGFiZWwxOTM1ODkyODYx", "url": "https://api.github.com/repos/huggingface/datasets/labels/documentation", "name": "documentation", "color": "0075ca", "default": true, "description": "Improvements or additions to documentation" } ]	open	false	null	[]	null	[ "Hi ! It seems the documentation was outdated in this paragraph\r\n\r\nI fixed it here: https://github.com/huggingface/datasets/pull/6956" ]	2024-06-04T09:18:32	2024-06-05T10:19:56	null	NONE	null	### Describe the bug The actual behavior of the interface `Dataset.with_format` is inconsistent with the documentation. https://huggingface.co/docs/datasets/use_with_pytorch#n-dimensional-arrays https://huggingface.co/docs/datasets/v2.19.0/en/use_with_tensorflow#n-dimensional-arrays > If your dataset consists of N-dimensional arrays, you will see that by default they are considered as nested lists. > In particular, a PyTorch formatted dataset outputs nested lists instead of a single tensor. > A TensorFlow formatted dataset outputs a RaggedTensor instead of a single tensor. But I get a single tensor by default, which is inconsistent with the description. Actually the current behavior seems more reasonable to me. Therefore, the document needs to be modified. ### Steps to reproduce the bug ```python >>> from datasets import Dataset >>> data = [[[1, 2],[3, 4]],[[5, 6],[7, 8]]] >>> ds = Dataset.from_dict({"data": data}) >>> ds = ds.with_format("torch") >>> ds[0] {'data': tensor([[1, 2], [3, 4]])} >>> ds = ds.with_format("tf") >>> ds[0] {'data': <tf.Tensor: shape=(2, 2), dtype=int64, numpy= array([[1, 2], [3, 4]])>} ``` ### Expected behavior ```python >>> from datasets import Dataset >>> data = [[[1, 2],[3, 4]],[[5, 6],[7, 8]]] >>> ds = Dataset.from_dict({"data": data}) >>> ds = ds.with_format("torch") >>> ds[0] {'data': [tensor([1, 2]), tensor([3, 4])]} >>> ds = ds.with_format("tf") >>> ds[0] {'data': <tf.RaggedTensor [[1, 2], [3, 4]]>} ``` ### Environment info datasets==2.19.1 torch==2.1.0 tensorflow==2.13.1	{ "url": "https://api.github.com/repos/huggingface/datasets/issues/6950/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }	https://api.github.com/repos/huggingface/datasets/issues/6950/timeline	null	null	null	null	false
https://api.github.com/repos/huggingface/datasets/issues/6949	https://api.github.com/repos/huggingface/datasets	https://api.github.com/repos/huggingface/datasets/issues/6949/labels{/name}	https://api.github.com/repos/huggingface/datasets/issues/6949/comments	https://api.github.com/repos/huggingface/datasets/issues/6949/events	https://github.com/huggingface/datasets/issues/6949	2,332,336,573	I_kwDODunzps6LBKG9	6,949	load_dataset error	{ "login": "lion-ops", "id": 27952522, "node_id": "MDQ6VXNlcjI3OTUyNTIy", "avatar_url": "https://avatars.githubusercontent.com/u/27952522?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lion-ops", "html_url": "https://github.com/lion-ops", "followers_url": "https://api.github.com/users/lion-ops/followers", "following_url": "https://api.github.com/users/lion-ops/following{/other_user}", "gists_url": "https://api.github.com/users/lion-ops/gists{/gist_id}", "starred_url": "https://api.github.com/users/lion-ops/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/lion-ops/subscriptions", "organizations_url": "https://api.github.com/users/lion-ops/orgs", "repos_url": "https://api.github.com/users/lion-ops/repos", "events_url": "https://api.github.com/users/lion-ops/events{/privacy}", "received_events_url": "https://api.github.com/users/lion-ops/received_events", "type": "User", "site_admin": false }	[]	open	false	null	[]	null	[ "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?" ]	2024-06-04T01:24:45	2024-06-04T05:54:54	null	NONE	null	### Describe the bug Why does the program get stuck when I use load_dataset method, and it still gets stuck after loading for several hours? In fact, my json file is only 21m, and I can load it in one go using open('', 'r'). ### Steps to reproduce the bug 1. pip install datasets==2.19.2 2. from datasets import Dataset, DatasetDict, NamedSplit, Split, load_dataset 3. data = load_dataset('json', data_files='train.json') ### Expected behavior It is able to load my json correctly ### Environment info datasets==2.19.2	{ "url": "https://api.github.com/repos/huggingface/datasets/issues/6949/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }	https://api.github.com/repos/huggingface/datasets/issues/6949/timeline	null	null	null	null	false
https://api.github.com/repos/huggingface/datasets/issues/6948	https://api.github.com/repos/huggingface/datasets	https://api.github.com/repos/huggingface/datasets/issues/6948/labels{/name}	https://api.github.com/repos/huggingface/datasets/issues/6948/comments	https://api.github.com/repos/huggingface/datasets/issues/6948/events	https://github.com/huggingface/datasets/issues/6948	2,331,758,300	I_kwDODunzps6K-87c	6,948	to_tf_dataset: Visible devices cannot be modified after being initialized	{ "login": "logasja", "id": 7151661, "node_id": "MDQ6VXNlcjcxNTE2NjE=", "avatar_url": "https://avatars.githubusercontent.com/u/7151661?v=4", "gravatar_id": "", "url": "https://api.github.com/users/logasja", "html_url": "https://github.com/logasja", "followers_url": "https://api.github.com/users/logasja/followers", "following_url": "https://api.github.com/users/logasja/following{/other_user}", "gists_url": "https://api.github.com/users/logasja/gists{/gist_id}", "starred_url": "https://api.github.com/users/logasja/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/logasja/subscriptions", "organizations_url": "https://api.github.com/users/logasja/orgs", "repos_url": "https://api.github.com/users/logasja/repos", "events_url": "https://api.github.com/users/logasja/events{/privacy}", "received_events_url": "https://api.github.com/users/logasja/received_events", "type": "User", "site_admin": false }	[]	open	false	null	[]	null	[]	2024-06-03T18:10:57	2024-06-03T18:10:57	null	NONE	null	### Describe the bug When trying to use to_tf_dataset with a custom data_loader collate_fn when I use parallelism I am met with the following error as many times as number of workers there were in ``num_workers``. File "/opt/miniconda/envs/env/lib/python3.11/site-packages/multiprocess/process.py", line 314, in _bootstrap self.run() File "/opt/miniconda/envs/env/lib/python3.11/site-packages/multiprocess/process.py", line 108, in run self._target(self._args, *self._kwargs) File "/opt/miniconda/envs/env/lib/python3.11/site-packages/datasets/utils/tf_utils.py", line 438, in worker_loop tf.config.set_visible_devices([], "GPU") # Make sure workers don't try to allocate GPU memory ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/miniconda/envs/env/lib/python3.11/site-packages/tensorflow/python/framework/config.py", line 566, in set_visible_devices context.context().set_visible_devices(devices, device_type) File "/opt/miniconda/envs/env/lib/python3.11/site-packages/tensorflow/python/eager/context.py", line 1737, in set_visible_devices raise RuntimeError( RuntimeError: Visible devices cannot be modified after being initialized ### Steps to reproduce the bug 1. Download a dataset using HuggingFace load_dataset 2. Define a function that transforms the data in some way to be used in the collate_fn argument 3. Provide a ``batch_size`` and ``num_workers`` value in the ``to_tf_dataset`` function 4. Either retrieve directly or use tfds benchmark to test the dataset ``` python from datasets import load_datasets import tensorflow_datasets as tfds from keras_cv.layers import Resizing def data_loader(examples): x = Resizing(examples[0]['image'], 256, 256, crop_to_aspect_ratio=True) return {X[0]: x} ds = load_datasets("logasja/FDF", split="test") ds = ds.to_tf_dataset(collate_fn=data_loader, batch_size=16, num_workers=2) tfds.benchmark(ds) ``` ### Expected behavior Use multiple processes to apply transformations from the collate_fn to the tf dataset on the CPU. ### Environment info - `datasets` version: 2.19.1 - Platform: Linux-6.5.0-1023-oracle-x86_64-with-glibc2.35 - Python version: 3.11.8 - `huggingface_hub` version: 0.22.2 - PyArrow version: 15.0.2 - Pandas version: 2.2.1 - `fsspec` version: 2024.2.0	{ "url": "https://api.github.com/repos/huggingface/datasets/issues/6948/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }	https://api.github.com/repos/huggingface/datasets/issues/6948/timeline	null	null	null	null	false
https://api.github.com/repos/huggingface/datasets/issues/6947	https://api.github.com/repos/huggingface/datasets	https://api.github.com/repos/huggingface/datasets/issues/6947/labels{/name}	https://api.github.com/repos/huggingface/datasets/issues/6947/comments	https://api.github.com/repos/huggingface/datasets/issues/6947/events	https://github.com/huggingface/datasets/issues/6947	2,331,114,055	I_kwDODunzps6K8fpH	6,947	FileNotFoundError：error when loading C4 dataset	{ "login": "W-215", "id": 62374585, "node_id": "MDQ6VXNlcjYyMzc0NTg1", "avatar_url": "https://avatars.githubusercontent.com/u/62374585?v=4", "gravatar_id": "", "url": "https://api.github.com/users/W-215", "html_url": "https://github.com/W-215", "followers_url": "https://api.github.com/users/W-215/followers", "following_url": "https://api.github.com/users/W-215/following{/other_user}", "gists_url": "https://api.github.com/users/W-215/gists{/gist_id}", "starred_url": "https://api.github.com/users/W-215/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/W-215/subscriptions", "organizations_url": "https://api.github.com/users/W-215/orgs", "repos_url": "https://api.github.com/users/W-215/repos", "events_url": "https://api.github.com/users/W-215/events{/privacy}", "received_events_url": "https://api.github.com/users/W-215/received_events", "type": "User", "site_admin": false }	[]	open	false	null	[]	null	[ "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" ]	2024-06-03T13:06:33	2024-06-04T12:48:40	null	NONE	null	### Describe the bug can't load c4 datasets When I replace the datasets package to 2.12.2 I get raise datasets.utils.info_utils.ExpectedMoreSplits: {'train'} How can I fix this？ ### Steps to reproduce the bug 1.from datasets import load_dataset 2.dataset = load_dataset('allenai/c4', data_files={'validation': 'en/c4-validation.00003-of-00008.json.gz'}, split='validation') 3. raise FileNotFoundError( FileNotFoundError: Couldn't find a dataset script at local_path/c4_val/allenai/c4/c4.py or any data file in the same directory. Couldn't find 'allenai/c4' on the Hugging Face Hub either: FileNotFoundError: Unable to find 'hf://datasets/allenai/c4@1588ec454efa1a09f29cd18ddd04fe05fc8653a2/en/c4-validation.00003-of-00008.json.gz' with any supported extension ['.csv', '.tsv', '.json', '.jsonl', '.parquet', '.geoparquet', '.gpq', '.arrow', '.txt', '.tar', '.blp', '.bmp', '.dib', '.bufr', '.cur', '.pcx', '.dcx', '.dds', '.ps', '.eps', '.fit', '.fits', '.fli', '.flc', '.ftc', '.ftu', '.gbr', '.gif', '.grib', '.h5', '.hdf', '.png', '.apng', '.jp2', '.j2k', '.jpc', '.jpf', '.jpx', '.j2c', '.icns', '.ico', '.im', '.iim', '.tif', '.tiff', '.jfif', '.jpe', '.jpg', '.jpeg', '.mpg', '.mpeg', '.msp', '.pcd', '.pxr', '.pbm', '.pgm', '.ppm', '.pnm', '.psd', '.bw', '.rgb', '.rgba', '.sgi', '.ras', '.tga', '.icb', '.vda', '.vst', '.webp', '.wmf', '.emf', '.xbm', '.xpm', '.BLP', '.BMP', '.DIB', '.BUFR', '.CUR', '.PCX', '.DCX', '.DDS', '.PS', '.EPS', '.FIT', '.FITS', '.FLI', '.FLC', '.FTC', '.FTU', '.GBR', '.GIF', '.GRIB', '.H5', '.HDF', '.PNG', '.APNG', '.JP2', '.J2K', '.JPC', '.JPF', '.JPX', '.J2C', '.ICNS', '.ICO', '.IM', '.IIM', '.TIF', '.TIFF', '.JFIF', '.JPE', '.JPG', '.JPEG', '.MPG', '.MPEG', '.MSP', '.PCD', '.PXR', '.PBM', '.PGM', '.PPM', '.PNM', '.PSD', '.BW', '.RGB', '.RGBA', '.SGI', '.RAS', '.TGA', '.ICB', '.VDA', '.VST', '.WEBP', '.WMF', '.EMF', '.XBM', '.XPM', '.aiff', '.au', '.avr', '.caf', '.flac', '.htk', '.svx', '.mat4', '.mat5', '.mpc2k', '.ogg', '.paf', '.pvf', '.raw', '.rf64', '.sd2', '.sds', '.ircam', '.voc', '.w64', '.wav', '.nist', '.wavex', '.wve', '.xi', '.mp3', '.opus', '.AIFF', '.AU', '.AVR', '.CAF', '.FLAC', '.HTK', '.SVX', '.MAT4', '.MAT5', '.MPC2K', '.OGG', '.PAF', '.PVF', '.RAW', '.RF64', '.SD2', '.SDS', '.IRCAM', '.VOC', '.W64', '.WAV', '.NIST', '.WAVEX', '.WVE', '.XI', '.MP3', '.OPUS', '.zip'] ### Expected behavior The data was successfully imported ### Environment info python version 3.9 datasets version 2.19.2	{ "url": "https://api.github.com/repos/huggingface/datasets/issues/6947/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }	https://api.github.com/repos/huggingface/datasets/issues/6947/timeline	null	null	null	null	false
https://api.github.com/repos/huggingface/datasets/issues/6946	https://api.github.com/repos/huggingface/datasets	https://api.github.com/repos/huggingface/datasets/issues/6946/labels{/name}	https://api.github.com/repos/huggingface/datasets/issues/6946/comments	https://api.github.com/repos/huggingface/datasets/issues/6946/events	https://github.com/huggingface/datasets/pull/6946	2,330,276,848	PR_kwDODunzps5xQNao	6,946	Re-enable import sorting disabled by flake8:noqa directive when using ruff linter	{ "login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/users/albertvillanova/followers", "following_url": "https://api.github.com/users/albertvillanova/following{/other_user}", "gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}", "starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions", "organizations_url": "https://api.github.com/users/albertvillanova/orgs", "repos_url": "https://api.github.com/users/albertvillanova/repos", "events_url": "https://api.github.com/users/albertvillanova/events{/privacy}", "received_events_url": "https://api.github.com/users/albertvillanova/received_events", "type": "User", "site_admin": false }	[]	closed	false	null	[]	null	[ "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" ]	2024-06-03T06:24:47	2024-06-04T10:00:08	2024-06-04T09:54:23	MEMBER	null	Re-enable import sorting that was wrongly disabled by `flake8: noqa` directive after switching to `ruff` linter in datasets-2.10.0 PR: - #5519 Note that after the linter switch, we wrongly replaced `flake8: noqa` with `ruff: noqa` in datasets-2.17.0 PR: - #6619 That replacement was wrong because we kept the `isort: skip` directives although they were indeed disabled by `flake8: noqa` first and by `ruff: noqa` afterwards. See for example `__init__.py` file after the linter switch: - We kept the `flake8: noqa` directive https://github.com/huggingface/datasets/blob/06ae3f678651bfbb3ca7dd3274ee2f38e0e0237e/src/datasets/__init__.py#L1 - Whereas we also kept the `isort: skip` directives (that were disabled) https://github.com/huggingface/datasets/blob/06ae3f678651bfbb3ca7dd3274ee2f38e0e0237e/src/datasets/__init__.py#L82-L84 Fix #6942.	{ "url": "https://api.github.com/repos/huggingface/datasets/issues/6946/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }	https://api.github.com/repos/huggingface/datasets/issues/6946/timeline	null	null	false	{ "url": "https://api.github.com/repos/huggingface/datasets/pulls/6946", "html_url": "https://github.com/huggingface/datasets/pull/6946", "diff_url": "https://github.com/huggingface/datasets/pull/6946.diff", "patch_url": "https://github.com/huggingface/datasets/pull/6946.patch", "merged_at": "2024-06-04T09:54:23" }	true
https://api.github.com/repos/huggingface/datasets/issues/6945	https://api.github.com/repos/huggingface/datasets	https://api.github.com/repos/huggingface/datasets/issues/6945/labels{/name}	https://api.github.com/repos/huggingface/datasets/issues/6945/comments	https://api.github.com/repos/huggingface/datasets/issues/6945/events	https://github.com/huggingface/datasets/pull/6945	2,330,224,869	PR_kwDODunzps5xQCCx	6,945	Update yanked version of minimum requests requirement	{ "login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/users/albertvillanova/followers", "following_url": "https://api.github.com/users/albertvillanova/following{/other_user}", "gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}", "starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions", "organizations_url": "https://api.github.com/users/albertvillanova/orgs", "repos_url": "https://api.github.com/users/albertvillanova/repos", "events_url": "https://api.github.com/users/albertvillanova/events{/privacy}", "received_events_url": "https://api.github.com/users/albertvillanova/received_events", "type": "User", "site_admin": false }	[]	closed	false	null	[]	null	[ "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" ]	2024-06-03T05:45:50	2024-06-03T06:15:48	2024-06-03T06:09:43	MEMBER	null	Update yanked version of minimum requests requirement. Version 2.32.1 was yanked: https://pypi.org/project/requests/2.32.1/	{ "url": "https://api.github.com/repos/huggingface/datasets/issues/6945/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }	https://api.github.com/repos/huggingface/datasets/issues/6945/timeline	null	null	false	{ "url": "https://api.github.com/repos/huggingface/datasets/pulls/6945", "html_url": "https://github.com/huggingface/datasets/pull/6945", "diff_url": "https://github.com/huggingface/datasets/pull/6945.diff", "patch_url": "https://github.com/huggingface/datasets/pull/6945.patch", "merged_at": "2024-06-03T06:09:43" }	true
https://api.github.com/repos/huggingface/datasets/issues/6944	https://api.github.com/repos/huggingface/datasets	https://api.github.com/repos/huggingface/datasets/issues/6944/labels{/name}	https://api.github.com/repos/huggingface/datasets/issues/6944/comments	https://api.github.com/repos/huggingface/datasets/issues/6944/events	https://github.com/huggingface/datasets/pull/6944	2,330,207,120	PR_kwDODunzps5xP-KD	6,944	Set dev version	{ "login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/users/albertvillanova/followers", "following_url": "https://api.github.com/users/albertvillanova/following{/other_user}", "gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}", "starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions", "organizations_url": "https://api.github.com/users/albertvillanova/orgs", "repos_url": "https://api.github.com/users/albertvillanova/repos", "events_url": "https://api.github.com/users/albertvillanova/events{/privacy}", "received_events_url": "https://api.github.com/users/albertvillanova/received_events", "type": "User", "site_admin": false }	[]	closed	false	null	[]	null	[ "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" ]	2024-06-03T05:29:59	2024-06-03T05:37:51	2024-06-03T05:31:47	MEMBER	null	null	{ "url": "https://api.github.com/repos/huggingface/datasets/issues/6944/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }	https://api.github.com/repos/huggingface/datasets/issues/6944/timeline	null	null	false	{ "url": "https://api.github.com/repos/huggingface/datasets/pulls/6944", "html_url": "https://github.com/huggingface/datasets/pull/6944", "diff_url": "https://github.com/huggingface/datasets/pull/6944.diff", "patch_url": "https://github.com/huggingface/datasets/pull/6944.patch", "merged_at": "2024-06-03T05:31:46" }	true
https://api.github.com/repos/huggingface/datasets/issues/6943	https://api.github.com/repos/huggingface/datasets	https://api.github.com/repos/huggingface/datasets/issues/6943/labels{/name}	https://api.github.com/repos/huggingface/datasets/issues/6943/comments	https://api.github.com/repos/huggingface/datasets/issues/6943/events	https://github.com/huggingface/datasets/pull/6943	2,330,176,890	PR_kwDODunzps5xP3jp	6,943	Release 2.19.2	{ "login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/users/albertvillanova/followers", "following_url": "https://api.github.com/users/albertvillanova/following{/other_user}", "gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}", "starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions", "organizations_url": "https://api.github.com/users/albertvillanova/orgs", "repos_url": "https://api.github.com/users/albertvillanova/repos", "events_url": "https://api.github.com/users/albertvillanova/events{/privacy}", "received_events_url": "https://api.github.com/users/albertvillanova/received_events", "type": "User", "site_admin": false }	[]	closed	false	null	[]	null	[ "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." ]	2024-06-03T05:01:50	2024-06-03T05:17:41	2024-06-03T05:17:40	MEMBER	null	null	{ "url": "https://api.github.com/repos/huggingface/datasets/issues/6943/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }	https://api.github.com/repos/huggingface/datasets/issues/6943/timeline	null	null	false	{ "url": "https://api.github.com/repos/huggingface/datasets/pulls/6943", "html_url": "https://github.com/huggingface/datasets/pull/6943", "diff_url": "https://github.com/huggingface/datasets/pull/6943.diff", "patch_url": "https://github.com/huggingface/datasets/pull/6943.patch", "merged_at": "2024-06-03T05:17:40" }	true
https://api.github.com/repos/huggingface/datasets/issues/6942	https://api.github.com/repos/huggingface/datasets	https://api.github.com/repos/huggingface/datasets/issues/6942/labels{/name}	https://api.github.com/repos/huggingface/datasets/issues/6942/comments	https://api.github.com/repos/huggingface/datasets/issues/6942/events	https://github.com/huggingface/datasets/issues/6942	2,329,562,382	I_kwDODunzps6K2k0O	6,942	Import sorting is disabled by flake8 noqa directive after switching to ruff linter	{ "login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/users/albertvillanova/followers", "following_url": "https://api.github.com/users/albertvillanova/following{/other_user}", "gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}", "starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions", "organizations_url": "https://api.github.com/users/albertvillanova/orgs", "repos_url": "https://api.github.com/users/albertvillanova/repos", "events_url": "https://api.github.com/users/albertvillanova/events{/privacy}", "received_events_url": "https://api.github.com/users/albertvillanova/received_events", "type": "User", "site_admin": false }	[ { "id": 4296013012, "node_id": "LA_kwDODunzps8AAAABAA_01A", "url": "https://api.github.com/repos/huggingface/datasets/labels/maintenance", "name": "maintenance", "color": "d4c5f9", "default": false, "description": "Maintenance tasks" } ]	closed	false	{ "login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/users/albertvillanova/followers", "following_url": "https://api.github.com/users/albertvillanova/following{/other_user}", "gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}", "starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions", "organizations_url": "https://api.github.com/users/albertvillanova/orgs", "repos_url": "https://api.github.com/users/albertvillanova/repos", "events_url": "https://api.github.com/users/albertvillanova/events{/privacy}", "received_events_url": "https://api.github.com/users/albertvillanova/received_events", "type": "User", "site_admin": false }	[ { "login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/users/albertvillanova/followers", "following_url": "https://api.github.com/users/albertvillanova/following{/other_user}", "gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}", "starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions", "organizations_url": "https://api.github.com/users/albertvillanova/orgs", "repos_url": "https://api.github.com/users/albertvillanova/repos", "events_url": "https://api.github.com/users/albertvillanova/events{/privacy}", "received_events_url": "https://api.github.com/users/albertvillanova/received_events", "type": "User", "site_admin": false } ]	null	[]	2024-06-02T09:43:34	2024-06-04T09:54:24	2024-06-04T09:54:24	MEMBER	null	When we switched to `ruff` linter in PR: - #5519 import sorting was disabled in all files containing the `# flake8: noqa` directive - https://github.com/astral-sh/ruff/issues/11679 We should re-enable import sorting on those files.	{ "url": "https://api.github.com/repos/huggingface/datasets/issues/6942/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }	https://api.github.com/repos/huggingface/datasets/issues/6942/timeline	null	completed	null	null	false
https://api.github.com/repos/huggingface/datasets/issues/6941	https://api.github.com/repos/huggingface/datasets	https://api.github.com/repos/huggingface/datasets/issues/6941/labels{/name}	https://api.github.com/repos/huggingface/datasets/issues/6941/comments	https://api.github.com/repos/huggingface/datasets/issues/6941/events	https://github.com/huggingface/datasets/issues/6941	2,328,930,165	I_kwDODunzps6K0Kd1	6,941	Supporting FFCV: Fast Forward Computer Vision	{ "login": "Luciennnnnnn", "id": 20135317, "node_id": "MDQ6VXNlcjIwMTM1MzE3", "avatar_url": "https://avatars.githubusercontent.com/u/20135317?v=4", "gravatar_id": "", "url": "https://api.github.com/users/Luciennnnnnn", "html_url": "https://github.com/Luciennnnnnn", "followers_url": "https://api.github.com/users/Luciennnnnnn/followers", "following_url": "https://api.github.com/users/Luciennnnnnn/following{/other_user}", "gists_url": "https://api.github.com/users/Luciennnnnnn/gists{/gist_id}", "starred_url": "https://api.github.com/users/Luciennnnnnn/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/Luciennnnnnn/subscriptions", "organizations_url": "https://api.github.com/users/Luciennnnnnn/orgs", "repos_url": "https://api.github.com/users/Luciennnnnnn/repos", "events_url": "https://api.github.com/users/Luciennnnnnn/events{/privacy}", "received_events_url": "https://api.github.com/users/Luciennnnnnn/received_events", "type": "User", "site_admin": false }	[ { "id": 1935892871, "node_id": "MDU6TGFiZWwxOTM1ODkyODcx", "url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement", "name": "enhancement", "color": "a2eeef", "default": true, "description": "New feature or request" } ]	open	false	null	[]	null	[]	2024-06-01T05:34:52	2024-06-01T05:34:52	null	NONE	null	### Feature request Supporting FFCV, https://github.com/libffcv/ffcv ### Motivation According to the benchmark, FFCV seems to be fastest image loading method. ### Your contribution no	{ "url": "https://api.github.com/repos/huggingface/datasets/issues/6941/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }	https://api.github.com/repos/huggingface/datasets/issues/6941/timeline	null	null	null	null	false
https://api.github.com/repos/huggingface/datasets/issues/6940	https://api.github.com/repos/huggingface/datasets	https://api.github.com/repos/huggingface/datasets/issues/6940/labels{/name}	https://api.github.com/repos/huggingface/datasets/issues/6940/comments	https://api.github.com/repos/huggingface/datasets/issues/6940/events	https://github.com/huggingface/datasets/issues/6940	2,328,637,831	I_kwDODunzps6KzDGH	6,940	Enable Sharding to Equal Sized Shards	{ "login": "yuvalkirstain", "id": 57996478, "node_id": "MDQ6VXNlcjU3OTk2NDc4", "avatar_url": "https://avatars.githubusercontent.com/u/57996478?v=4", "gravatar_id": "", "url": "https://api.github.com/users/yuvalkirstain", "html_url": "https://github.com/yuvalkirstain", "followers_url": "https://api.github.com/users/yuvalkirstain/followers", "following_url": "https://api.github.com/users/yuvalkirstain/following{/other_user}", "gists_url": "https://api.github.com/users/yuvalkirstain/gists{/gist_id}", "starred_url": "https://api.github.com/users/yuvalkirstain/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/yuvalkirstain/subscriptions", "organizations_url": "https://api.github.com/users/yuvalkirstain/orgs", "repos_url": "https://api.github.com/users/yuvalkirstain/repos", "events_url": "https://api.github.com/users/yuvalkirstain/events{/privacy}", "received_events_url": "https://api.github.com/users/yuvalkirstain/received_events", "type": "User", "site_admin": false }	[ { "id": 1935892871, "node_id": "MDU6TGFiZWwxOTM1ODkyODcx", "url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement", "name": "enhancement", "color": "a2eeef", "default": true, "description": "New feature or request" } ]	open	false	null	[]	null	[]	2024-05-31T21:55:50	2024-06-01T07:34:12	null	NONE	null	### Feature request Add an option when sharding a dataset to have all shards the same size. Will be good to provide both an option of duplication, and by truncation. ### Motivation Currently the behavior of sharding is "If n % i == l, then the first l shards will have length (n // i) + 1, and the remaining shards will have length (n // i).". However, when using FSDP we want the shards to have the same size. This requires the user to manually handle this situation, but it will be nice if we had an option to shard the dataset into equally sized shards. ### Your contribution For now just a PR. I can also add code that does what is needed, but probably not efficient. Shard to equal size by duplication: ``` remainder = len(dataset) % num_shards num_missing_examples = num_shards - remainder duplicated = dataset.select(list(range(num_missing_examples))) dataset = concatenate_datasets([dataset, duplicated]) shard = dataset.shard(num_shards, shard_idx) ``` Or by truncation: ``` shard = dataset.shard(num_shards, shard_idx) num_examples_per_shard = len(dataset) // num_shards shard = shard.select(list(range(num_examples_per_shard))) ```	{ "url": "https://api.github.com/repos/huggingface/datasets/issues/6940/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }	https://api.github.com/repos/huggingface/datasets/issues/6940/timeline	null	null	null	null	false
https://api.github.com/repos/huggingface/datasets/issues/6939	https://api.github.com/repos/huggingface/datasets	https://api.github.com/repos/huggingface/datasets/issues/6939/labels{/name}	https://api.github.com/repos/huggingface/datasets/issues/6939/comments	https://api.github.com/repos/huggingface/datasets/issues/6939/events	https://github.com/huggingface/datasets/issues/6939	2,328,059,386	I_kwDODunzps6Kw136	6,939	ExpectedMoreSplits error when using data_dir	{ "login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/users/albertvillanova/followers", "following_url": "https://api.github.com/users/albertvillanova/following{/other_user}", "gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}", "starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions", "organizations_url": "https://api.github.com/users/albertvillanova/orgs", "repos_url": "https://api.github.com/users/albertvillanova/repos", "events_url": "https://api.github.com/users/albertvillanova/events{/privacy}", "received_events_url": "https://api.github.com/users/albertvillanova/received_events", "type": "User", "site_admin": false }	[ { "id": 1935892857, "node_id": "MDU6TGFiZWwxOTM1ODkyODU3", "url": "https://api.github.com/repos/huggingface/datasets/labels/bug", "name": "bug", "color": "d73a4a", "default": true, "description": "Something isn't working" } ]	closed	false	{ "login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/users/albertvillanova/followers", "following_url": "https://api.github.com/users/albertvillanova/following{/other_user}", "gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}", "starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions", "organizations_url": "https://api.github.com/users/albertvillanova/orgs", "repos_url": "https://api.github.com/users/albertvillanova/repos", "events_url": "https://api.github.com/users/albertvillanova/events{/privacy}", "received_events_url": "https://api.github.com/users/albertvillanova/received_events", "type": "User", "site_admin": false }	[ { "login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/users/albertvillanova/followers", "following_url": "https://api.github.com/users/albertvillanova/following{/other_user}", "gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}", "starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions", "organizations_url": "https://api.github.com/users/albertvillanova/orgs", "repos_url": "https://api.github.com/users/albertvillanova/repos", "events_url": "https://api.github.com/users/albertvillanova/events{/privacy}", "received_events_url": "https://api.github.com/users/albertvillanova/received_events", "type": "User", "site_admin": false } ]	null	[]	2024-05-31T15:08:42	2024-05-31T17:10:39	2024-05-31T17:10:39	MEMBER	null	As reported by @regisss, an `ExpectedMoreSplits` error is raised when passing `data_dir`: ```python from datasets import load_dataset dataset = load_dataset( "lvwerra/stack-exchange-paired", split="train", cache_dir=None, data_dir="data/rl", ) ``` ``` Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/usr/local/lib/python3.10/dist-packages/datasets/load.py", line 2609, in load_dataset builder_instance.download_and_prepare( File "/usr/local/lib/python3.10/dist-packages/datasets/builder.py", line 1027, in download_and_prepare self._download_and_prepare( File "/usr/local/lib/python3.10/dist-packages/datasets/builder.py", line 1140, in _download_and_prepare verify_splits(self.info.splits, split_dict) File "/usr/local/lib/python3.10/dist-packages/datasets/utils/info_utils.py", line 92, in verify_splits raise ExpectedMoreSplits(str(set(expected_splits) - set(recorded_splits))) datasets.utils.info_utils.ExpectedMoreSplits: {'test'} ```	{ "url": "https://api.github.com/repos/huggingface/datasets/issues/6939/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }	https://api.github.com/repos/huggingface/datasets/issues/6939/timeline	null	completed	null	null	false
https://api.github.com/repos/huggingface/datasets/issues/6938	https://api.github.com/repos/huggingface/datasets	https://api.github.com/repos/huggingface/datasets/issues/6938/labels{/name}	https://api.github.com/repos/huggingface/datasets/issues/6938/comments	https://api.github.com/repos/huggingface/datasets/issues/6938/events	https://github.com/huggingface/datasets/pull/6938	2,327,568,281	PR_kwDODunzps5xHNKm	6,938	Fix expected splits when passing data_files or dir	{ "login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers", "following_url": "https://api.github.com/users/lhoestq/following{/other_user}", "gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}", "starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions", "organizations_url": "https://api.github.com/users/lhoestq/orgs", "repos_url": "https://api.github.com/users/lhoestq/repos", "events_url": "https://api.github.com/users/lhoestq/events{/privacy}", "received_events_url": "https://api.github.com/users/lhoestq/received_events", "type": "User", "site_admin": false }	[]	closed	false	null	[]	null	[ "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" ]	2024-05-31T11:04:22	2024-05-31T15:28:03	2024-05-31T15:28:02	MEMBER	null	reported on slack: The following code snippet gives an error with v2.19 but not with v2.18: from datasets import load_dataset ``` dataset = load_dataset( "lvwerra/stack-exchange-paired", split="train", cache_dir=None, data_dir="data/rl", ) ``` and the error is: ``` Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/usr/local/lib/python3.10/dist-packages/datasets/load.py", line 2609, in load_dataset builder_instance.download_and_prepare( File "/usr/local/lib/python3.10/dist-packages/datasets/builder.py", line 1027, in download_and_prepare self._download_and_prepare( File "/usr/local/lib/python3.10/dist-packages/datasets/builder.py", line 1140, in _download_and_prepare verify_splits(self.info.splits, split_dict) File "/usr/local/lib/python3.10/dist-packages/datasets/utils/info_utils.py", line 92, in verify_splits raise ExpectedMoreSplits(str(set(expected_splits) - set(recorded_splits))) datasets.utils.info_utils.ExpectedMoreSplits: {'test'} ```	{ "url": "https://api.github.com/repos/huggingface/datasets/issues/6938/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }	https://api.github.com/repos/huggingface/datasets/issues/6938/timeline	null	null	false	{ "url": "https://api.github.com/repos/huggingface/datasets/pulls/6938", "html_url": "https://github.com/huggingface/datasets/pull/6938", "diff_url": "https://github.com/huggingface/datasets/pull/6938.diff", "patch_url": "https://github.com/huggingface/datasets/pull/6938.patch", "merged_at": null }	true
https://api.github.com/repos/huggingface/datasets/issues/6937	https://api.github.com/repos/huggingface/datasets	https://api.github.com/repos/huggingface/datasets/issues/6937/labels{/name}	https://api.github.com/repos/huggingface/datasets/issues/6937/comments	https://api.github.com/repos/huggingface/datasets/issues/6937/events	https://github.com/huggingface/datasets/issues/6937	2,327,212,611	I_kwDODunzps6KtnJD	6,937	JSON loader implicitly coerces floats to integers	{ "login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/users/albertvillanova/followers", "following_url": "https://api.github.com/users/albertvillanova/following{/other_user}", "gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}", "starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions", "organizations_url": "https://api.github.com/users/albertvillanova/orgs", "repos_url": "https://api.github.com/users/albertvillanova/repos", "events_url": "https://api.github.com/users/albertvillanova/events{/privacy}", "received_events_url": "https://api.github.com/users/albertvillanova/received_events", "type": "User", "site_admin": false }	[ { "id": 1935892857, "node_id": "MDU6TGFiZWwxOTM1ODkyODU3", "url": "https://api.github.com/repos/huggingface/datasets/labels/bug", "name": "bug", "color": "d73a4a", "default": true, "description": "Something isn't working" } ]	open	false	{ "login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/users/albertvillanova/followers", "following_url": "https://api.github.com/users/albertvillanova/following{/other_user}", "gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}", "starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions", "organizations_url": "https://api.github.com/users/albertvillanova/orgs", "repos_url": "https://api.github.com/users/albertvillanova/repos", "events_url": "https://api.github.com/users/albertvillanova/events{/privacy}", "received_events_url": "https://api.github.com/users/albertvillanova/received_events", "type": "User", "site_admin": false }	[ { "login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/users/albertvillanova/followers", "following_url": "https://api.github.com/users/albertvillanova/following{/other_user}", "gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}", "starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions", "organizations_url": "https://api.github.com/users/albertvillanova/orgs", "repos_url": "https://api.github.com/users/albertvillanova/repos", "events_url": "https://api.github.com/users/albertvillanova/events{/privacy}", "received_events_url": "https://api.github.com/users/albertvillanova/received_events", "type": "User", "site_admin": false } ]	null	[]	2024-05-31T08:09:12	2024-05-31T08:11:57	null	MEMBER	null	The JSON loader implicitly coerces floats to integers. The column values `[0.0, 1.0, 2.0]` are coerced to `[0, 1, 2]`. See CI error in dataset-viewer: https://github.com/huggingface/dataset-viewer/actions/runs/9290164936/job/25576926446 ``` =================================== FAILURES =================================== ___________________________ test_statistics_endpoint ___________________________ normal_user_public_json_dataset = 'DVUser/tmp-dataset-17170199043860' def test_statistics_endpoint(normal_user_public_json_dataset: str) -> None: dataset = normal_user_public_json_dataset config, split = get_default_config_split() statistics_response = poll_until_ready_and_assert( relative_url=f"/statistics?dataset={dataset}&config={config}&split={split}", check_x_revision=True, dataset=dataset, ) content = statistics_response.json() assert len(content) == 3 assert sorted(content) == ["num_examples", "partial", "statistics"], statistics_response statistics = content["statistics"] num_examples = content["num_examples"] partial = content["partial"] assert isinstance(statistics, list), statistics assert len(statistics) == 6 assert num_examples == 4 assert partial is False string_label_column = statistics[0] assert "column_name" in string_label_column assert "column_statistics" in string_label_column assert "column_type" in string_label_column assert string_label_column["column_name"] == "col_1" assert string_label_column["column_type"] == "string_label" # 4 unique values -> label assert isinstance(string_label_column["column_statistics"], dict) assert string_label_column["column_statistics"] == { "nan_count": 0, "nan_proportion": 0.0, "no_label_count": 0, "no_label_proportion": 0.0, "n_unique": 4, "frequencies": { "There goes another one.": 1, "Vader turns round and round in circles as his ship spins into space.": 1, "We count thirty Rebel ships, Lord Vader.": 1, "The wingman spots the pirateship coming at him and warns the Dark Lord": 1, }, } int_column = statistics[1] assert "column_name" in int_column assert "column_statistics" in int_column assert "column_type" in int_column assert int_column["column_name"] == "col_2" assert int_column["column_type"] == "int" assert isinstance(int_column["column_statistics"], dict) assert int_column["column_statistics"] == { "histogram": {"bin_edges": [0, 1, 2, 3, 3], "hist": [1, 1, 1, 1]}, "max": 3, "mean": 1.5, "median": 1.5, "min": 0, "nan_count": 0, "nan_proportion": 0.0, "std": 1.29099, } float_column = statistics[2] assert "column_name" in float_column assert "column_statistics" in float_column assert "column_type" in float_column assert float_column["column_name"] == "col_3" > assert float_column["column_type"] == "float" E AssertionError: assert 'int' == 'float' E - float E + int tests/test_14_statistics.py:72: AssertionError =========================== short test summary info ============================ FAILED tests/test_14_statistics.py::test_statistics_endpoint - AssertionError: assert 'int' == 'float' - float + int ``` This bug was introduced after: - #6914 We have reported the issue to pandas: - https://github.com/pandas-dev/pandas/issues/58866	{ "url": "https://api.github.com/repos/huggingface/datasets/issues/6937/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }	https://api.github.com/repos/huggingface/datasets/issues/6937/timeline	null	null	null	null	false
https://api.github.com/repos/huggingface/datasets/issues/6936	https://api.github.com/repos/huggingface/datasets	https://api.github.com/repos/huggingface/datasets/issues/6936/labels{/name}	https://api.github.com/repos/huggingface/datasets/issues/6936/comments	https://api.github.com/repos/huggingface/datasets/issues/6936/events	https://github.com/huggingface/datasets/issues/6936	2,326,119,853	I_kwDODunzps6KpcWt	6,936	save_to_disk() freezes when saving on s3 bucket with multiprocessing	{ "login": "ycattan", "id": 54974949, "node_id": "MDQ6VXNlcjU0OTc0OTQ5", "avatar_url": "https://avatars.githubusercontent.com/u/54974949?v=4", "gravatar_id": "", "url": "https://api.github.com/users/ycattan", "html_url": "https://github.com/ycattan", "followers_url": "https://api.github.com/users/ycattan/followers", "following_url": "https://api.github.com/users/ycattan/following{/other_user}", "gists_url": "https://api.github.com/users/ycattan/gists{/gist_id}", "starred_url": "https://api.github.com/users/ycattan/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/ycattan/subscriptions", "organizations_url": "https://api.github.com/users/ycattan/orgs", "repos_url": "https://api.github.com/users/ycattan/repos", "events_url": "https://api.github.com/users/ycattan/events{/privacy}", "received_events_url": "https://api.github.com/users/ycattan/received_events", "type": "User", "site_admin": false }	[]	open	false	null	[]	null	[]	2024-05-30T16:48:39	2024-05-30T16:49:05	null	NONE	null	### Describe the bug I'm trying to save a `Dataset` using the `save_to_disk()` function with: - `num_proc > 1` - `dataset_path` being a s3 bucket path e.g. "s3://{bucket_name}/{dataset_folder}/" The hf progress bar shows up but the saving does not seem to start. When using one processor only (`num_proc=1`), everything works fine. When saving the dataset on local disk (as opposed to s3 bucket) with `num_proc > 1`, everything works fine. Thank you for your help! :) ### Steps to reproduce the bug I tried without any storage options: ``` from datasets import load_dataset sandbox_ds = load_dataset("openai_humaneval") sandbox_ds["test"].save_to_disk( "s3://bucket-name/test_multiprocessing_saving/", num_proc=4, ) ``` and with the specific s3fs storage options: ``` from datasets import load_dataset from s3fs import S3FileSystem def get_s3fs(): return S3FileSystem() sandbox_ds = load_dataset("openai_humaneval") sandbox_ds["test"].save_to_disk( "s3://bucket-name/test_multiprocessing_saving/", num_proc=4, storage_options=get_s3fs().storage_options, # also tried: storage_options=S3FileSystem().storage_options ) ``` I'm guessing I might use `storage_options` parameter wrongly, but I didn't find anything online that made it work. NB: Behavior is the same when trying to save the whole `DatasetDict`. ### Expected behavior Progress bar fills in and saving is carried out. ### Environment info `datasets==2.18.0`	{ "url": "https://api.github.com/repos/huggingface/datasets/issues/6936/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }	https://api.github.com/repos/huggingface/datasets/issues/6936/timeline	null	null	null	null	false
https://api.github.com/repos/huggingface/datasets/issues/6935	https://api.github.com/repos/huggingface/datasets	https://api.github.com/repos/huggingface/datasets/issues/6935/labels{/name}	https://api.github.com/repos/huggingface/datasets/issues/6935/comments	https://api.github.com/repos/huggingface/datasets/issues/6935/events	https://github.com/huggingface/datasets/issues/6935	2,325,612,022	I_kwDODunzps6KngX2	6,935	Support for pathlib.Path in datasets 2.19.0	{ "login": "lamyiowce", "id": 12202811, "node_id": "MDQ6VXNlcjEyMjAyODEx", "avatar_url": "https://avatars.githubusercontent.com/u/12202811?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lamyiowce", "html_url": "https://github.com/lamyiowce", "followers_url": "https://api.github.com/users/lamyiowce/followers", "following_url": "https://api.github.com/users/lamyiowce/following{/other_user}", "gists_url": "https://api.github.com/users/lamyiowce/gists{/gist_id}", "starred_url": "https://api.github.com/users/lamyiowce/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/lamyiowce/subscriptions", "organizations_url": "https://api.github.com/users/lamyiowce/orgs", "repos_url": "https://api.github.com/users/lamyiowce/repos", "events_url": "https://api.github.com/users/lamyiowce/events{/privacy}", "received_events_url": "https://api.github.com/users/lamyiowce/received_events", "type": "User", "site_admin": false }	[]	open	false	null	[]	null	[]	2024-05-30T12:53:36	2024-05-30T12:53:36	null	NONE	null	### Describe the bug After the recent update of `datasets`, Dataset.save_to_disk does not accept a pathlib.Path anymore. It was supported in 2.18.0 and previous versions. Is this intentional? Was it supported before only because of a Python dusk-typing miracle? ### Steps to reproduce the bug ``` from datasets import Dataset import pathlib path = pathlib.Path("./my_out_path") Dataset.from_dict( {"text": ["hello world"], "label": [777], "split": ["train"]} .save_to_disk(path) ``` This results in an error when using datasets 2.19: ``` Traceback (most recent call last): File "<stdin>", line 3, in <module> File "/Users/jb/scratch/venv/lib/python3.11/site-packages/datasets/arrow_dataset.py", line 1515, in save_to_disk fs, _ = url_to_fs(dataset_path, **(storage_options or {})) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/jb/scratch/venv/lib/python3.11/site-packages/fsspec/core.py", line 383, in url_to_fs chain = _un_chain(url, kwargs) ^^^^^^^^^^^^^^^^^^^^^^ File "/Users/jb/scratch/venv/lib/python3.11/site-packages/fsspec/core.py", line 323, in _un_chain if "::" in path ^^^^^^^^^^^^ TypeError: argument of type 'PosixPath' is not iterable ``` Converting to str works, however. ``` Dataset.from_dict( {"text": ["hello world"], "label": [777], "split": ["train"]} ).save_to_disk(str(path)) ``` ### Expected behavior My dataset gets saved to disk without an error. ### Environment info aiohttp==3.9.5 aiosignal==1.3.1 attrs==23.2.0 certifi==2024.2.2 charset-normalizer==3.3.2 datasets==2.19.0 dill==0.3.8 filelock==3.14.0 frozenlist==1.4.1 fsspec==2024.3.1 huggingface-hub==0.23.2 idna==3.7 multidict==6.0.5 multiprocess==0.70.16 numpy==1.26.4 packaging==24.0 pandas==2.2.2 pyarrow==16.1.0 pyarrow-hotfix==0.6 python-dateutil==2.9.0.post0 pytz==2024.1 PyYAML==6.0.1 requests==2.32.3 six==1.16.0 tqdm==4.66.4 typing_extensions==4.12.0 tzdata==2024.1 urllib3==2.2.1 xxhash==3.4.1 yarl==1.9.4	{ "url": "https://api.github.com/repos/huggingface/datasets/issues/6935/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }	https://api.github.com/repos/huggingface/datasets/issues/6935/timeline	null	null	null	null	false
https://api.github.com/repos/huggingface/datasets/issues/6934	https://api.github.com/repos/huggingface/datasets	https://api.github.com/repos/huggingface/datasets/issues/6934/labels{/name}	https://api.github.com/repos/huggingface/datasets/issues/6934/comments	https://api.github.com/repos/huggingface/datasets/issues/6934/events	https://github.com/huggingface/datasets/pull/6934	2,325,341,717	PR_kwDODunzps5w_laB	6,934	Revert ci user	{ "login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers", "following_url": "https://api.github.com/users/lhoestq/following{/other_user}", "gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}", "starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions", "organizations_url": "https://api.github.com/users/lhoestq/orgs", "repos_url": "https://api.github.com/users/lhoestq/repos", "events_url": "https://api.github.com/users/lhoestq/events{/privacy}", "received_events_url": "https://api.github.com/users/lhoestq/received_events", "type": "User", "site_admin": false }	[]	closed	false	null	[]	null	[ "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" ]	2024-05-30T10:45:26	2024-05-31T10:25:08	2024-05-30T10:45:37	MEMBER	null	null	{ "url": "https://api.github.com/repos/huggingface/datasets/issues/6934/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }	https://api.github.com/repos/huggingface/datasets/issues/6934/timeline	null	null	false	{ "url": "https://api.github.com/repos/huggingface/datasets/pulls/6934", "html_url": "https://github.com/huggingface/datasets/pull/6934", "diff_url": "https://github.com/huggingface/datasets/pull/6934.diff", "patch_url": "https://github.com/huggingface/datasets/pull/6934.patch", "merged_at": "2024-05-30T10:45:37" }	true
https://api.github.com/repos/huggingface/datasets/issues/6933	https://api.github.com/repos/huggingface/datasets	https://api.github.com/repos/huggingface/datasets/issues/6933/labels{/name}	https://api.github.com/repos/huggingface/datasets/issues/6933/comments	https://api.github.com/repos/huggingface/datasets/issues/6933/events	https://github.com/huggingface/datasets/pull/6933	2,325,300,800	PR_kwDODunzps5w_cW4	6,933	update ci user	{ "login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers", "following_url": "https://api.github.com/users/lhoestq/following{/other_user}", "gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}", "starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions", "organizations_url": "https://api.github.com/users/lhoestq/orgs", "repos_url": "https://api.github.com/users/lhoestq/repos", "events_url": "https://api.github.com/users/lhoestq/events{/privacy}", "received_events_url": "https://api.github.com/users/lhoestq/received_events", "type": "User", "site_admin": false }	[]	closed	false	null	[]	null	[ "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" ]	2024-05-30T10:23:02	2024-05-30T10:30:54	2024-05-30T10:23:12	MEMBER	null	token is ok to be public since it's only for the hub-ci	{ "url": "https://api.github.com/repos/huggingface/datasets/issues/6933/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }	https://api.github.com/repos/huggingface/datasets/issues/6933/timeline	null	null	false	{ "url": "https://api.github.com/repos/huggingface/datasets/pulls/6933", "html_url": "https://github.com/huggingface/datasets/pull/6933", "diff_url": "https://github.com/huggingface/datasets/pull/6933.diff", "patch_url": "https://github.com/huggingface/datasets/pull/6933.patch", "merged_at": "2024-05-30T10:23:12" }	true

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