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[ "It would be nice to protect the master from direct commits, but still having a way to merge our own PRs when no review is required (for example when updating a dataset_infos.json file, or minor bug fixes - things that happen quite often actually).\r\nDo you know if there's a way ?", "you can if you're an admin of the repo", "This is done. Now the master branch is protected:\r\n- [x] Require a pull request before merging: all commits must be made to a non-protected branch and submitted via a pull request\r\n - Required number of approvals before merging: 1 \r\n- [x] Require linear history: prevent merge commits from being pushed\r\n- [x] These requirements are not enforced for administrators\r\n- [x] Additionally, the master branch is also protected against deletion and force pushes\r\n\r\nCC: @lhoestq @julien-c @thomwolf " ]

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[ "We'll do a release tomorrow or on wednesday to make the fix available :)\r\n\r\nThanks for reproting !" ]

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[ "Could you add this function to the documentation please ?\r\n\r\nYou can add it in `main_classes.rst`, and maybe add a `Tip` section in the `map` section in the `process.rst`" ]

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[ "Thanks ! That looks all good :)\r\n\r\nI don't think that batching would help. Indeed we're dealing with python iterators that yield elements one by one, so batched `map` needs to accumulate a batch, apply the function, and then yield examples from the batch.\r\n\r\nThough once we have parallel processing in `map`, we can reconsider it\r\n\r\nAlso feel free to check the CI failure - apparently the import of `Union` is missing", "Thanks for the review and explaining that! \r\nOn top of what you said, I think `remove_columns` is very unlikely to be a bottleneck, so it doesn't matter anyways.", "Thank you for reviewing! @mariosasko \r\n\r\nI wonder how the checking would work. Is there any checking present in `IterableDataset ` now? What if `.remove_columns()` is applied after some arbitrary `.map()`?", "> I wonder how the checking would work. Is there any checking present in IterableDataset now? What if .remove_columns() is applied after some arbitrary .map()?\r\n\r\nThat's the challenge here indeed ^^ In this case it's not trivial to know the names of the columns. Feel free to open an issue so we can discuss this" ]

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[ "I had to run datasets-cli with --ignore_verifications the first time since it was complaining about a missing file, but now it runs without that flag fine. I moved dummy_data.zip to the new folder, but also had to modify the filename of the test file in the zip (should I not have done that?). Finally, I added the pretty name tag.", "Great, thanks for the help." ]

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[ "@lhoestq I would say this does not \"properly\" install `ruamel-yaml`, but the contrary, you overwrite the previous version without desinstalling it first.\r\n\r\nAccording to `pip` docs:\r\n> This can break your system if the existing package is of a different version or was installed with a different package manager!\r\n\r\nNote that our case fulfills both conditions:\r\n- the installing version (`0.17.16`) is different from the existing one (`0.15.87`)\r\n- you are installing using `pip` (`setuptools`), whereas the exisitng version was installed using `distutils`\r\n\r\nThat is why I did not fix the issue this way, made a hotfix pinning `huggingface_hub` (#3025), while looking for a permanent solution for the issue.", "Yea I did this because we need the latest version of `huggingface_hub` for #2986 and because I didn't want to ssh to the windows worker x)\r\nMaybe it can be fixed by installing it with conda - let me try", "Oh yea it may not work since it was first installed with distutils" ]

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[ "Awesome @lhoestq I like the proposal and it works great on my JSON community dataset. Here is the [log](https://gist.github.com/vblagoje/714babc325bcbdd5de579fd8e1648892). ", "From my discussion with @borisdayma it would be more general the files match if their paths contains the split name - not only if the filename contains the split name. For example for a dataset like this:\r\n```\r\ntrain/\r\n└── data.csv\r\ntest/\r\n└── data.csv\r\n```\r\n\r\nBut IMO the default should be \r\n```\r\ndata/\r\n├── train.csv\r\n└── test.csv\r\n```\r\nbecause it allows people to have other directories if they have different subsets of their data (different configurations, not splits)", "I just created a PR for this at https://github.com/huggingface/datasets/pull/3221, let me know what you think :)" ]

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[ "@lhoestq I'm a bit confused by the error message. I haven't touched the YAML code at all - do you have any insight on that?", "I just added the missing `pretty_name` tag in the YAML - sorry about that ;)", "Thanks! Seems like it did the trick since the tests are passing. Let me know if there's anything else I can do in this PR!", "It's all good thank you :)\r\n\r\nmerging !" ]

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[ "I believe the only failed test related to this PR is tests/test_metric_common.py::LocalMetricTest::test_load_metric_competition_math. It gives the following error:\r\n\r\nImportError: To be able to use this dataset, you need to install the following dependencies['math_equivalence'] using 'pip install git+https://github.com/hendrycks/math.git' for instance'\r\n\r\nIt fails along with (these fail with ImportError as well):\r\ntest_load_metric_bertscore\r\ntest_load_metric_bleurt\r\ntest_load_metric_comet\r\ntest_load_metric_coval\r\n\r\nLet me know if there is anything I need to change.", "Hi ! The script looks all good thanks :)\r\n\r\nTo fix the CI you just need to merge `master` into your branch\r\n```\r\ngit fetch upstream/master\r\ngit merge upstream/master\r\n```\r\n\r\nThen you also need to add `math_equivalence` to the list of git packages installed for the tests in `additional-tests-requirements.txt`\r\nhttps://github.com/huggingface/datasets/blob/ba831e4bcd175ae3d52afbf7d12c4f625bf541b0/additional-tests-requirements.txt#L1-L3", "I ran:\r\n\r\ngit fetch upstream\r\ngit merge upstream/master\r\n\r\nAnd I also added math_equivalence to the list of git packages installed for the tests in additional-tests-requirements.txt\r\n\r\ntests/test_metric_common.py fails with the same errors as before. tests/test_dataset_cards.py also fails, but it doesn't look related to this PR (it's an issue datasets/ami/README.md).", "@lhoestq Anything else I can do? I re-merged again and am getting the same test failures as described in the previous comment." ]

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[ "Hi @DrMatters, thanks for reporting.\r\n\r\nThis issue was fixed 14 days ago: #2950.\r\n\r\nCurrently, the fix is only in the master branch and will be made available in our next library release.\r\n\r\nIn the meantime, you can incorporate the fix by installing datasets from the master branch:\r\n```shell\r\npip install -U git+ssh://git@github.com/huggingface/datasets.git@master#egg=datasest\r\n```\r\nor\r\n```shell\r\npip install -U git+https://github.com/huggingface/datasets.git@master#egg=datasets\r\n```", "Thanks, sorry for bothering" ]

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[ "Please wait until Tuesday. Arxiv pre-print is pending. 🤗 ", "Hi @lhoestq, I updated the README with the Arxiv publication info and now the tests are not passing.\r\n\r\nIt seems that the error is completely irrelevant to my code:\r\n\r\n```\r\n Attempting uninstall: ruamel.yaml\r\n Found existing installation: ruamel-yaml 0.15.87\r\nERROR: Cannot uninstall 'ruamel-yaml'. It is a distutils installed project and thus we cannot accurately determine which files belong to it which would lead to only a partial uninstall.\r\n```", "Hi ! Thanks for adding this one. Amazing work :o \r\n\r\nYea you can ignore the `ruamel-yaml` error, it's unrelated to your PR and fixed on `master`", "Hi @lhoestq, \r\n\r\n- I fetched and merged the upstream master to get the `ruamel-yaml` fix.\r\n- I updated the README.md file including more information for the inputs and labels, while I also turned all tables in HTML format hoping that they will render nicely in the dataset card in the HF website.\r\n- I also simplified the CaseHOLD input, excl. the unused `question` field and the `context` replicas, as suggested.\r\n" ]

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[ "@lhoestq The test passes even without the try/except block!", "Hey, I'm a little late because I was caught up in the course work, but I double-checked this and it looks great. Thanks for fixing!" ]

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[ "And we're already at PR number 3,000 ! ^^", "Thank you so much for fixing this @lhoestq 😍 ! I just tested the branch out and it works like a charm!" ]

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[ "Hi @marshmellow77, thanks for reporting.\r\n\r\nThat issue is fixed since `datasets` version 1.9.0 (see 16bc665f2753677c765011ef79c84e55486d4347).\r\n\r\nPlease, update `datasets` with: `pip install -U datasets`", "Thanks. Please note that the dataset explorer (https://huggingface.co/datasets/viewer/?dataset=turkish_product_reviews) still shows the incorrect state. The sentiment for the first few customer reviews is actually negative and should be labelled with \"0\", see screenshot:\r\n\r\n\r\n\r\n\r\n", "Thanks @marshmellow77, good catch! I'm transferring this issue to https://github.com/huggingface/datasets-viewer. " ]

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[ "Beware of cases like: `http://ufal.ms.mff.cuni.cz/umc/005-en-ur/download.php?f=umc005-corpus.zip` or `gzip://bg-cs.xml::https://opus.nlpl.eu/download.php?f=Europarl/v8/xml/bg-cs.xml.gz`. I see these URLs in the errors (https://observablehq.com/@huggingface/quality-assessment-of-datasets-loading?collection=@huggingface/datasets), but not in the `Extraction protocol for file at xxx is not implemented yet` error, so I'm not sure if they would break now or not.\r\n\r\nMaybe: first try to find an extension, and if none, try to remove the `?...` part and retry to find the extension.\r\n\r\nBy the way, here is the list of URLs for errors of this type, with a '?' in the URL:\r\n\r\n```\r\nhttps://dl.orangedox.com/WyaCpL?dl=1\r\nhttps://drive.google.com/u/0/uc?id=0Bz8a_Dbh9QhbaW12WVVZS2drcnM&export=download\r\nhttps://drive.google.com/u/0/uc?id=1-CaP3xHgZxOGjQ3pXC5tr9YnIajmel-t&export=download\r\nhttps://drive.google.com/u/0/uc?id=11EBGHMAswT5JDO60xh7gnZfYjpMQs7h7&export=download\r\nhttps://drive.google.com/u/0/uc?id=13JCCr-IjZK7uhbLXeufptr_AxvsKinVl&export=download\r\nhttps://drive.google.com/u/0/uc?id=13ZyFc2qepAYSg9WIFaeJ9y402gblsl2e&export=download\r\nhttps://drive.google.com/u/0/uc?id=15auwrFAlq52JJ61u7eSfnhT9rZtI5sjk&export=download\r\nhttps://drive.google.com/u/0/uc?id=16OgJ_OrfzUF_i3ftLjFn9kpcyoi7UJeO&export=download\r\nhttps://drive.google.com/u/0/uc?id=1BFYF05rx-DK9Eb5hgoIgd6EcB8zOI-zu&export=download\r\nhttps://drive.google.com/u/0/uc?id=1Cz1Un9p8Xn9IpEMMrg2kXSDt0dnjxc4z&export=download\r\nhttps://drive.google.com/u/0/uc?id=1H7FphKVVCYoH49sUXl79CuztEfJLaKoF&export=download\r\nhttps://drive.google.com/u/0/uc?id=1NAeuWLgYBzLwU5jCdkrtj4_PRUocuvlb&export=download\r\nhttps://drive.google.com/u/0/uc?id=1OletxmPYNkz2ltOr9pyT0b0iBtUWxslh&export=download\r\nhttps://drive.google.com/u/0/uc?id=1OletxmPYNkz2ltOr9pyT0b0iBtUWxslh&export=download/\r\nhttps://drive.google.com/u/0/uc?id=1R1jR4DcH2UEaM1ZwDSRHdfTGvkCNu6NW&export=download\r\nhttps://drive.google.com/u/0/uc?id=1hDHeoFIfQzJec1NgZNXh3CTNbchiIvuG&export=download\r\nhttps://drive.google.com/u/0/uc?id=1wxwqnWGRzwvc_-ugRoFX8BPgpO3Q7sch&export=download\r\nhttps://drive.google.com/u/0/uc?id=1ydsOTvBZXKqcRvXawOuePrJ99slOEbkk&export=download\r\nhttps://drive.google.com/uc?export=download&id=0BwmD_VLjROrfTHk4NFg2SndKcjQ\r\nhttps://drive.google.com/uc?export=download&id=0Bz8a_Dbh9QhbQ2Vic1kxMmZZQ1k\r\nhttps://drive.google.com/uc?export=download&id=0Bz8a_Dbh9QhbZlU4dXhHTFhZQU0\r\nhttps://drive.google.com/uc?export=download&id=0Bz8a_Dbh9Qhbd2JNdDBsQUdocVU\r\nhttps://drive.google.com/uc?export=download&id=1-w-0uqaC6hnRn1F_3XqJEvi09zlcTIhX\r\nhttps://drive.google.com/uc?export=download&id=11wMGqNVSwwk6zUnDaJEgm3qT71kAHeff\r\nhttps://drive.google.com/uc?export=download&id=17FGi8KI9N9SuGe7elM8qU8_3fx4sfgTr\r\nhttps://drive.google.com/uc?export=download&id=1AHUm1-_V9GCtGuDcc8XrMUCJE8B-HHoL\r\nhttps://drive.google.com/uc?export=download&id=1CBrh-9OrSpKmPQBxTK_ji6mq6WTN_U9U\r\nhttps://drive.google.com/uc?export=download&id=1Ev4RqWcPsLI9rgOGAKh-_dFKqcEZ1u-G\r\nhttps://drive.google.com/uc?export=download&id=1GTHUJxxmjLmG2lnF9dwRgIDRFZaOY3-F\r\nhttps://drive.google.com/uc?export=download&id=1GcUN6mytEcOMBBOvjJOQzBmEkc-LdgQg\r\nhttps://drive.google.com/uc?export=download&id=1J3mucMFTWrgAYa3LuBZoLRR3CzzYD3fa\r\nhttps://drive.google.com/uc?export=download&id=1Jjhbal535VVz2ap4v4r_rN1UEHTdLK5P\r\nhttps://drive.google.com/uc?export=download&id=1L7aoUXzHPzyzQ0ns4ApBbYepsjFOtXil\r\nhttps://drive.google.com/uc?export=download&id=1M1M5yIOyjKWGprc3LUeVVwxgKXxgpqxm\r\nhttps://drive.google.com/uc?export=download&id=1Nug7-Sri50mkJL4GrWw6C2ZIbfeU-6Am\r\nhttps://drive.google.com/uc?export=download&id=1PGa8j1_IqxiGTc3SU6NMB38sAzxCPS34\r\nhttps://drive.google.com/uc?export=download&id=1QsV8C5EPJrQl37mwva_5-IJOrCaOi2tH\r\nhttps://drive.google.com/uc?export=download&id=1RsGLINVce-0GsDkCLDuLZmoLuzfmoCuQ\r\nhttps://drive.google.com/uc?export=download&id=1TuWH7uwu6V90QWmZn25qhou1rm97Egmn\r\nhttps://drive.google.com/uc?export=download&id=1U7WdBpd9kJ85S7BbBhWUSiy9NnXrKdO6\r\nhttps://drive.google.com/uc?export=download&id=1USoQ8lJgN8kAWnUnRrupMGrPMLlDVqlV\r\nhttps://drive.google.com/uc?export=download&id=1Uit4Og1pk-br_0UJIO5sdhApyhTuHzqo\r\nhttps://drive.google.com/uc?export=download&id=1Z2ty5hU0tIGRZRDlFQZLO7b5vijRfvo0\r\nhttps://drive.google.com/uc?export=download&id=1ZyFGufe4puX3vjGPbp4xg9Hca3Gwq22g\r\nhttps://drive.google.com/uc?export=download&id=1ZzlIQvw1KNBG97QQCfdatvVrrbeLaM1u\r\nhttps://drive.google.com/uc?export=download&id=1_AckYkinAnhqmRQtGsQgUKAnTHxxX5J0\r\nhttps://drive.google.com/uc?export=download&id=1__EjA6oZsgXQpggPm-h54jZu3kP6Y6zu\r\nhttps://drive.google.com/uc?export=download&id=1aHPVfC5TrlnUjehtagVZoDfq4VccgaNT\r\nhttps://drive.google.com/uc?export=download&id=1cqu_YAgvlyVSzzjcUyP1Cz7q0k8Pw7vN\r\nhttps://drive.google.com/uc?export=download&id=1dUIqVwvoZAtbX_-z5axCoe97XNcFo1No\r\nhttps://drive.google.com/uc?export=download&id=1eTtRs5cUlBP5dXsx-FTAlmXuB6JQi2qj\r\nhttps://drive.google.com/uc?export=download&id=1fUR3MqJ8jTMka6owA0S-Fe6aHmiophc_\r\nhttps://drive.google.com/uc?export=download&id=1ffWfITKFMJeqjT8loC8aiCLRNJpc_XnF\r\nhttps://drive.google.com/uc?export=download&id=1g89WgFHMRbr4QrvA0ngh26PY081Nv3lx\r\nhttps://drive.google.com/uc?export=download&id=1meSNZHxd_0TZLKCRCYGN-Ke3IA5c1qOE\r\nhttps://drive.google.com/uc?export=download&id=1okwGJiOZmTpNRNgJLCnjFF4Q0H1z4l6_\r\nhttps://drive.google.com/uc?export=download&id=1phryJg4FjCFkn0mSCqIOP2-FscAeKGV0\r\nhttps://drive.google.com/uc?export=download&id=1s8NSFT4Kz0caKZ4VybPNzt88F8ZanprY\r\nhttps://drive.google.com/uc?export=download&id=1vRY2wM6rlOZrf9exGTm5pXj5ExlVwJ0C\r\nhttps://drive.google.com/uc?export=download&id=1ytVZ4AhubFDOEL7o7XrIRIyhU8g9wvKA\r\nhttps://drive.google.com/uc?id=12Uz59TYg_NtxOy7SXraYeXPMRT7oaO7X\r\nhttps://drive.google.com/uc?id=1PGH5H_oW7wUvMw_5xaXvbEN7DFll-wDX\r\nhttps://github.com/MaazAmjad/Datasets-for-Urdu-news/blob/master/Urdu%20Fake%20News%20Dataset.zip?raw=true\r\nhttps://github.com/TevenLeScao/glucose/blob/master/GLUCOSE_training_data.zip?raw=true\r\nhttps://github.com/TevenLeScao/what-time-is-it/blob/master/gutenberg_time_phrases.zip?raw=true\r\nhttps://github.com/aviaefrat/cryptonite/blob/main/data/cryptonite-official-split.zip?raw=true\r\nhttps://github.com/facebookresearch/Imppres/blob/master/dataset/IMPPRES.zip?raw=true\r\nhttps://github.com/ljos/navnkjenner/blob/master/data/bokmaal/no_bokmaal-ud-train.bioes?raw=true\r\nhttps://github.com/ljos/navnkjenner/blob/master/data/nynorsk/no_nynorsk-ud-train.bioes?raw=true\r\nhttps://github.com/ljos/navnkjenner/blob/master/data/samnorsk/no_samnorsk-ud-train.bioes?raw=true\r\nhttps://github.com/mirfan899/Urdu/blob/master/sentiment/imdb_urdu_reviews.csv.tar.gz?raw=true\r\nhttps://github.com/omilab/Neural-Sentiment-Analyzer-for-Modern-Hebrew/blob/master/data/morph_train.tsv?raw=true\r\nhttps://github.com/omilab/Neural-Sentiment-Analyzer-for-Modern-Hebrew/blob/master/data/token_train.tsv?raw=true\r\nhttps://lindat.mff.cuni.cz/repository/xmlui/bitstream/handle/11858/00-097C-0000-0023-625F-0/hindencorp05.plaintext.gz?sequence=3&isAllowed=y\r\nhttps://repo.sadilar.org/bitstream/handle/20.500.12185/299/nchlt_afrikaans_named_entity_annotated_corpus.zip?sequence=3&isAllowed=y\r\nhttps://repo.sadilar.org/bitstream/handle/20.500.12185/312/nchlt_isixhosa_named_entity_annotated_corpus.zip?sequence=3&isAllowed=y\r\nhttps://repo.sadilar.org/bitstream/handle/20.500.12185/319/nchlt_isizulu_named_entity_annotated_corpus.zip?sequence=3&isAllowed=y\r\nhttps://repo.sadilar.org/bitstream/handle/20.500.12185/328/nchlt_sepedi_named_entity_annotated_corpus.zip?sequence=3&isAllowed=y\r\nhttps://repo.sadilar.org/bitstream/handle/20.500.12185/334/nchlt_sesotho_named_entity_annotated_corpus.zip?sequence=3&isAllowed=y\r\nhttps://repo.sadilar.org/bitstream/handle/20.500.12185/341/nchlt_setswana_named_entity_annotated_corpus.zip?sequence=3&isAllowed=y\r\nhttps://repo.sadilar.org/bitstream/handle/20.500.12185/346/nchlt_siswati_named_entity_annotated_corpus.zip?sequence=3&isAllowed=y\r\nhttps://www.dropbox.com/s/tohrsllcfy7rch4/SimpleQuestions_v2.tgz?dl=1\r\nhttps://zenodo.org/record/1043504/files/corpus-webis-tldr-17.zip?download=1\r\nhttps://zenodo.org/record/1489920/files/articles-training-byarticle-20181122.zip?download=1\r\nhttps://zenodo.org/record/1489920/files/articles-training-bypublisher-20181122.zip?download=1\r\nhttps://zenodo.org/record/2787612/files/SICK.zip?download=1\r\nhttps://zenodo.org/record/3553423/files/Swahili%20data.zip?download=1\r\nhttps://zenodo.org/record/3707949/files/tapaco_v1.0.zip?download=1\r\nhttps://zenodo.org/record/4300294/files/train.csv?download=1\r\n```\r\n\r\n", "Hi @severo, I just saw your comment. Thank you.\r\n\r\nFinally I just swapped the 2 parsings: first I extract extension and then I remove query parameters. 😉 ", "OK :) Maybe we should add some unit tests to ensure we improve the detection without regressions (it's Friday afternoon, I trust the unit tests more than my analysis of the code)", "Great! For the tests, I think we should also add some URLs in the form: `http://ufal.ms.mff.cuni.cz/umc/005-en-ur/download.php?f=umc005-corpus.zip` to be sure they are still correctly detected." ]

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[ "CI fails due to missing tags, but they will be added in https://github.com/huggingface/datasets/pull/2949" ]

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[ "wooo that was fast! thank you @lhoestq !\r\nit is able to process now, though it's ignoring all files and ending up with 0 examples now haha :/\r\n\r\nFor subset \"unfiltered\":\r\n```python\r\n>>> load_dataset(\"trivia_qa\", \"unfiltered\")\r\nDownloading and preparing dataset trivia_qa/unfiltered (download: 3.07 GiB, generated: 27.23 GiB, post-processed: Unknown size, total: 30.30 GiB) to /gpfsscratch/rech/six/commun/datasets/trivia_qa/unfiltered/1.1.0/910043a609bb2bdf62b4874f68e0c24fb648cf81e40a358f4bd54c919d72c9ab...\r\n100%|███████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 1354.53it/s]\r\n100%|█████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 40.60it/s]\r\nTraceback (most recent call last):\r\n File \"<stdin>\", line 1, in <module>\r\n File \"/gpfswork/rech/six/commun/conda/victor/lib/python3.7/site-packages/datasets/load.py\", line 1198, in load_dataset\r\n use_auth_token=use_auth_token,\r\n File \"/gpfswork/rech/six/commun/conda/victor/lib/python3.7/site-packages/datasets/builder.py\", line 647, in download_and_prepare\r\n dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs\r\n File \"/gpfswork/rech/six/commun/conda/victor/lib/python3.7/site-packages/datasets/builder.py\", line 748, in _download_and_prepare\r\n verify_splits(self.info.splits, split_dict)\r\n File \"/gpfswork/rech/six/commun/conda/victor/lib/python3.7/site-packages/datasets/utils/info_utils.py\", line 74, in verify_splits\r\n raise NonMatchingSplitsSizesError(str(bad_splits))\r\ndatasets.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='test', num_bytes=2906575347, num_examples=10832, dataset_name='trivia_qa'), 'recorded': SplitInfo(name='test', num_bytes=0, num_examples=0, dataset_name='trivia_qa')}, {'expected': SplitInfo(name='validation', num_bytes=3038966234, num_examples=11313, dataset_name='trivia_qa'), 'recorded': SplitInfo(name='validation', num_bytes=0, num_examples=0, dataset_name='trivia_qa')}]\r\n```\r\nFor subset \"rc\":\r\n```python\r\n>>> load_dataset(\"trivia_qa\", \"rc\")\r\nDownloading and preparing dataset trivia_qa/rc (download: 2.48 GiB, generated: 14.92 GiB, post-processed: Unknown size, total: 17.40 GiB) to /gpfsscratch/rech/six/commun/datasets/trivia_qa/rc/1.1.0/910043a609bb2bdf62b4874f68e0c24fb648cf81e40a358f4bd54c919d72c9ab...\r\n100%|███████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00, 3806.08it/s]\r\n100%|█████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00, 51.57it/s]\r\nTraceback (most recent call last):\r\n File \"<stdin>\", line 1, in <module>\r\n File \"/gpfswork/rech/six/commun/conda/victor/lib/python3.7/site-packages/datasets/load.py\", line 1198, in load_dataset\r\n use_auth_token=use_auth_token,\r\n File \"/gpfswork/rech/six/commun/conda/victor/lib/python3.7/site-packages/datasets/builder.py\", line 647, in download_and_prepare\r\n dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs\r\n File \"/gpfswork/rech/six/commun/conda/victor/lib/python3.7/site-packages/datasets/builder.py\", line 748, in _download_and_prepare\r\n verify_splits(self.info.splits, split_dict)\r\n File \"/gpfswork/rech/six/commun/conda/victor/lib/python3.7/site-packages/datasets/utils/info_utils.py\", line 74, in verify_splits\r\n raise NonMatchingSplitsSizesError(str(bad_splits))\r\ndatasets.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='test', num_bytes=1577814583, num_examples=17210, dataset_name='trivia_qa'), 'recorded': SplitInfo(name='test', num_bytes=0, num_examples=0, dataset_name='trivia_qa')}, {'expected': SplitInfo(name='train', num_bytes=12750976012, num_examples=138384, dataset_name='trivia_qa'), 'recorded': SplitInfo(name='train', num_bytes=0, num_examples=0, dataset_name='trivia_qa')}, {'expected': SplitInfo(name='validation', num_bytes=1688535379, num_examples=18669, dataset_name='trivia_qa'), 'recorded': SplitInfo(name='validation', num_bytes=0, num_examples=0, dataset_name='trivia_qa')}]\r\n```\r\n\r\nCould you look into that when you get a chance?\r\nI wonder if it's not something they changed on the file to download? i couldn't find any information", "@VictorSanh have you tried passing `download_mode=\"force_redownload\"`?\r\n```python\r\nds = load_dataset(\"trivia_qa\", \"unfiltered\", download_mode=\"force_redownload\")\r\n```", "I aggressively rmed caches, especially rming the `datasets/downloads/extracted/c3d265fa20d99a147a76e4f5e...` solved the issue.\r\nthank you both!\r\n" ]

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[ "Hi @NielsRogge, thanks for reporting!\r\n\r\nIn `datasets`, we were handling N-dimensional arrays only when passed as an instance of `np.array`, not when passed as a list of `np.array`s.\r\n\r\nI'm fixing it." ]

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[ "> One thing is that I still don't know at what extent we want to keep backward compatibility for prepare_module. For now I just kept it (except I removed two parameters) just in case, but it's not used anywhere anymore.\r\n\r\nFYI, various other projects currently use it, thus clearly a major version would be required:\r\n\r\nhttps://github.com/search?q=org%3Ahuggingface+prepare_module&type=code", "Yea so I kept `prepare_module` and changed it to use all the factories I added, so all the use cases in the link you shared are still working. The only two parameters I removed are minor IMO and were a bit hacky anyway (return_resolved_file_path and return_associated_base_path). I think they were only used internally in `datasets` but let me know if you're aware of a use case I didn't think of.", "I think I'm done with the tests :) I'll do the comments/docs and then we just wait for https://github.com/huggingface/huggingface_hub/pull/373 to get merged", "When there's a new release of `huggingface_hub` (probably on monday), it will fix the CI.\r\n\r\nThe PR is ready for review. Let me know if I need to clarify some parts", "One additional change I did: the tests won't affect the number of downloads on the website anymore. And users can choose to not update the number of downloads with `HF_UPDATE_DOWNLOAD_COUNTS=0`", "CI failures are simply due to RAM issues with circleci workers.\r\nAnd on windows there is an issue with installing `ruamel.yaml` from the bump of `huggingface_hub` (fixed on master)" ]

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[ "Hi @zijwang, thanks for reporting this issue.\r\n\r\nYou did not mention which `datasets` version you are using, but looking at the code in the stack trace, it seems you are using an old version.\r\n\r\nCould you please update `datasets` (`pip install -U datasets`) and check if the problem persists?" ]

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[ "Hi @asofiaoliveira, thanks for reporting.\r\n\r\nI'm fixing it." ]

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[ "Hi @Valahaar, thanks for reporting and for your investigation about the source cause.\r\n\r\nYou are right and that commit prevents `pandas` from inferring the compression. On the other hand, @lhoestq did that change to support loading that dataset in streaming mode. \r\n\r\nI'm fixing it." ]

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[ "Hi @mskovalova, \r\n\r\nSome datasets have multiple configurations. Therefore, in order to load them, you have to specify both the *dataset name* and the *configuration name*.\r\n\r\nIn the error message you got, you have a usage example:\r\n- To load the 'wikitext-103-raw-v1' configuration of the 'wikitext' dataset, you should use: \r\n ```python\r\n load_dataset('wikitext', 'wikitext-103-raw-v1')\r\n ```\r\n\r\nIn your case, if you would like to load the 'wikitext-2-v1' configuration of the 'wikitext' dataset, please use:\r\n```python\r\nraw_datasets = load_dataset(\"wikitext\", \"wikitext-2-v1\")\r\n```" ]

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[ "Maybe we can change the disk space calculating API from `shutil.disk_usage` to `os.statvfs` in UNIX-like system, which can provide correct results.\r\n```\r\nstatvfs = os.statvfs('path')\r\navail_space_bytes = statvfs.f_frsize * statvfs.f_bavail\r\n```", "Hi @qqaatw, thanks for reporting.\r\n\r\nCould you please try:\r\n```python\r\ndataset = load_dataset(\"natural_questions\", cache_dir=os.path.abspath(args.dataset_cache_dir))\r\n```", "@albertvillanova it works! Thanks for your suggestion. Is that a bug of `DownloadConfig`?", "`DownloadConfig` only sets the location to download the files. On the other hand, `cache_dir` sets the location for both downloading and caching the data. You can find more information here: https://huggingface.co/docs/datasets/loading_datasets.html#cache-directory" ]

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[ "Thanks for reporting, @ontocord. We are fixing the wrong metadata." ]

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[ "Hi @smeyerhot, thanks for reporting.\r\n\r\nYou are right: there is an issue with the dataset metadata. I'm fixing it.\r\n\r\nIn the meantime, you can circumvent the issue by passing `ignore_verifications=True`:\r\n```python\r\nraw_datasets = load_dataset(\"medical_dialog\", \"en\", split=\"train\", download_mode=\"force_redownload\", data_dir=\"./Medical-Dialogue-Dataset-English\", ignore_verifications=True)\r\n```" ]

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[ "This is because you have to specify which split corresponds to what file:\r\n```python\r\ndata_files = {\"train\": \"train/split.parquet\", \"validation\": \"validation/split.parquet\"}\r\nbrand_new_dataset_2 = load_dataset(\"ds\", data_files=data_files)\r\n```\r\n\r\nOtherwise it tries to concatenate the two splits, and it fails because they don't have the same features.\r\n\r\nIt works with save_to_disk/load_from_disk because it also stores json files that contain the information about which files goes into which split", "Wonderful, thanks for the help!", "I may be mistaken but I think the following doesn't work either:\r\n\r\n```python\r\nfrom datasets import load_dataset\r\n\r\nds = load_dataset(\"lhoestq/custom_squad\")\r\n\r\n\r\ndef identical_answers(e):\r\n e['identical_answers'] = len(set(e['answers']['text'])) == 1\r\n return e\r\n\r\n\r\nds['validation'] = ds['validation'].map(identical_answers)\r\nds['train'].to_parquet(\"./ds/train/split.parquet\")\r\nds['validation'].to_parquet(\"./ds/validation/split.parquet\")\r\n\r\ndata_files = {\"train\": \"train/split.parquet\", \"validation\": \"validation/split.parquet\"}\r\nbrand_new_dataset_2 = load_dataset(\"ds\", data_files=data_files)\r\n```", "It works on my side as soon as the directories named `ds/train` and `ds/validation` exist (otherwise it returns a FileNotFoundError). What error are you getting ?", "Also we may introduce a default mapping for the data files:\r\n```python\r\n{\r\n \"train\": [\"*train*\"],\r\n \"test\": [\"*test*\"],\r\n \"validation\": [\"*dev*\", \"valid\"],\r\n}\r\n```\r\nthis way if you name your files according to the splits you won't have to specify the data_files parameter. What do you think ?\r\n\r\nI moved this discussion to #3027 ", "I'm getting the following error:\r\n\r\n```\r\nDownloading and preparing dataset custom_squad/plain_text to /home/lysandre/.cache/huggingface/datasets/lhoestq___custom_squad)/plain_text/1.0.0/397916d1ae99584877e0fb4f5b8b6f01e66fcbbeff4d178afb30c933a8d0d93a...\r\n100%|██████████| 2/2 [00:00<00:00, 7760.04it/s]\r\n100%|██████████| 2/2 [00:00<00:00, 2020.38it/s]\r\n 0%| | 0/2 [00:00<?, ?it/s]Traceback (most recent call last):\r\n File \"<input>\", line 1, in <module>\r\n File \"/opt/pycharm-professional/plugins/python/helpers/pydev/_pydev_bundle/pydev_umd.py\", line 198, in runfile\r\n pydev_imports.execfile(filename, global_vars, local_vars) # execute the script\r\n File \"/opt/pycharm-professional/plugins/python/helpers/pydev/_pydev_imps/_pydev_execfile.py\", line 18, in execfile\r\n exec(compile(contents+\"\\n\", file, 'exec'), glob, loc)\r\n File \"/home/lysandre/.config/JetBrains/PyCharm2021.2/scratches/datasets/upload_dataset.py\", line 12, in <module>\r\n ds = load_dataset(\"lhoestq/custom_squad\")\r\n File \"/home/lysandre/Workspaces/Python/datasets/src/datasets/load.py\", line 1207, in load_dataset\r\n ds = builder_instance.as_dataset(split=split, ignore_verifications=ignore_verifications, in_memory=keep_in_memory)\r\n File \"/home/lysandre/Workspaces/Python/datasets/src/datasets/builder.py\", line 823, in as_dataset\r\n datasets = utils.map_nested(\r\n File \"/home/lysandre/Workspaces/Python/datasets/src/datasets/utils/py_utils.py\", line 207, in map_nested\r\n mapped = [\r\n File \"/home/lysandre/Workspaces/Python/datasets/src/datasets/utils/py_utils.py\", line 208, in <listcomp>\r\n _single_map_nested((function, obj, types, None, True))\r\n File \"/home/lysandre/Workspaces/Python/datasets/src/datasets/utils/py_utils.py\", line 143, in _single_map_nested\r\n return function(data_struct)\r\n File \"/home/lysandre/Workspaces/Python/datasets/src/datasets/builder.py\", line 854, in _build_single_dataset\r\n ds = self._as_dataset(\r\n File \"/home/lysandre/Workspaces/Python/datasets/src/datasets/builder.py\", line 924, in _as_dataset\r\n dataset_kwargs = ArrowReader(self._cache_dir, self.info).read(\r\n File \"/home/lysandre/Workspaces/Python/datasets/src/datasets/arrow_reader.py\", line 217, in read\r\n return self.read_files(files=files, original_instructions=instructions, in_memory=in_memory)\r\n File \"/home/lysandre/Workspaces/Python/datasets/src/datasets/arrow_reader.py\", line 238, in read_files\r\n pa_table = self._read_files(files, in_memory=in_memory)\r\n File \"/home/lysandre/Workspaces/Python/datasets/src/datasets/arrow_reader.py\", line 173, in _read_files\r\n pa_table: Table = self._get_table_from_filename(f_dict, in_memory=in_memory)\r\n File \"/home/lysandre/Workspaces/Python/datasets/src/datasets/arrow_reader.py\", line 308, in _get_table_from_filename\r\n table = ArrowReader.read_table(filename, in_memory=in_memory)\r\n File \"/home/lysandre/Workspaces/Python/datasets/src/datasets/arrow_reader.py\", line 327, in read_table\r\n return table_cls.from_file(filename)\r\n File \"/home/lysandre/Workspaces/Python/datasets/src/datasets/table.py\", line 458, in from_file\r\n table = _memory_mapped_arrow_table_from_file(filename)\r\n File \"/home/lysandre/Workspaces/Python/datasets/src/datasets/table.py\", line 45, in _memory_mapped_arrow_table_from_file\r\n pa_table = opened_stream.read_all()\r\n File \"pyarrow/ipc.pxi\", line 563, in pyarrow.lib.RecordBatchReader.read_all\r\n File \"pyarrow/error.pxi\", line 114, in pyarrow.lib.check_status\r\nOSError: Header-type of flatbuffer-encoded Message is not RecordBatch.\r\n```\r\n\r\nTried on current master, after updating latest dependencies and obtained the same result", "The proposal in #3027 sounds good to me!", "I just tried again on colab by installing `datasets` from source with pyarrow 3.0.0 and didn't get any error.\r\n\r\nYou error seems to happen when doing\r\n```python\r\nds = load_dataset(\"lhoestq/custom_squad\")\r\n```\r\n\r\nMore specifically it fails when trying to read the arrow file that just got generated. I haven't issues like this before. Can you make sure you have a recent version of `pyarrow` ? Maybe it was an old version that wrote the arrow file and some header was missing.", "Thank you for your pointer! This seems to have been linked to Python 3.9.7: it works flawlessly with Python 3.8.6. This can be closed, thanks a lot for your help." ]

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[ "@albertvillanova @lhoestq thank you very much for reviewing! :hugs: \r\n\r\nI 've pushed some updates/changes as requested." ]

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[ "After some more tests I've realized that this \"issue\" is due to the `numpy.float64` to `float` conversion, but when defining a function named `compute_metrics` as it follows:\r\n\r\n```python\r\ndef compute_metrics(eval_preds):\r\n metric = load_metric(\"matthews_correlation\")\r\n logits, labels = eval_preds\r\n predictions = np.argmax(logits, axis=1)\r\n return metric.compute(predictions=predictions, references=labels)\r\n```\r\n\r\nIt fails when the evaluation metrics are computed in the `Trainer` with the same error code `AttributeError: 'float' object has no attribute 'item'` as the output is not a `numpy.float64`... Maybe I'm doing something wrong, not sure!", "Ok after some more experiments I've realized that it's an issue from my side, at first I thought it was due to `fp16=True` in `TrainingArguments`, but in the end that may not be the issue, so I'll close this for now and check later, since the mistake is on my side :weary: Sorry for the inconvenience!" ]

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[ "There is an exception when running `pip install .[tests]`:\r\n```\r\nProcessing /home/circleci/datasets\r\nCollecting numpy>=1.17 (from datasets==1.12.2.dev0)\r\n Downloading https://files.pythonhosted.org/packages/45/b2/6c7545bb7a38754d63048c7696804a0d947328125d81bf12beaa692c3ae3/numpy-1.19.5-cp36-cp36m-manylinux1_x86_64.whl (13.4MB)\r\n 100% |████████████████████████████████| 13.4MB 3.9MB/s eta 0:00:011\r\n\r\n...\r\n\r\nCollecting faiss-cpu (from datasets==1.12.2.dev0)\r\n Downloading https://files.pythonhosted.org/packages/87/91/bf8ea0d42733cbb04f98d3bf27808e4919ceb5ec71102e21119398a97237/faiss-cpu-1.7.1.post2.tar.gz (41kB)\r\n 100% |████████████████████████████████| 51kB 30.9MB/s ta 0:00:01\r\n Complete output from command python setup.py egg_info:\r\n Traceback (most recent call last):\r\n File \"/home/circleci/.pyenv/versions/3.6.14/lib/python3.6/site-packages/setuptools/sandbox.py\", line 154, in save_modules\r\n yield saved\r\n File \"/home/circleci/.pyenv/versions/3.6.14/lib/python3.6/site-packages/setuptools/sandbox.py\", line 195, in setup_context\r\n yield\r\n File \"/home/circleci/.pyenv/versions/3.6.14/lib/python3.6/site-packages/setuptools/sandbox.py\", line 250, in run_setup\r\n _execfile(setup_script, ns)\r\n File \"/home/circleci/.pyenv/versions/3.6.14/lib/python3.6/site-packages/setuptools/sandbox.py\", line 45, in _execfile\r\n exec(code, globals, locals)\r\n File \"/tmp/easy_install-1pop4blm/numpy-1.21.2/setup.py\", line 34, in <module>\r\n method can be invoked.\r\n RuntimeError: Python version >= 3.7 required.\r\n```\r\n\r\nApparently, `numpy-1.21.2` tries to be installed in the temporary directory `/tmp/easy_install-1pop4blm` instead of the downloaded `numpy-1.19.5` (requirement of `datasets`).\r\n\r\nThis is caused because `pip` downloads the `.tar.gz` (instead of the `.whl`) and tries to build it in a tmp dir." ]

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[ "There is a speed up in Windows machines:\r\n- From `13m 52s` to `11m 10s`\r\n\r\nIn Linux machines, some workers crash with error message:\r\n```\r\nOSError: [Errno 12] Cannot allocate memory\r\n```", "There is also a speed up in Linux machines:\r\n- From `7m 30s` to `5m 32s`" ]

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[ "Hi @JamieSlome,\r\n\r\nThanks for reaching out. Yes, you are right: I'm opening a PR to add the `SECURITY.md` file and a contact method.\r\n\r\nIn the meantime, please feel free to report the security issue to: feedback@huggingface.co" ]

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[ "@lhoestq Let me make sure we never need it, and if not then I'll remove it entirely in a follow-up PR.", "Thanks ;) it will be less confusing and easier to maintain to not keep unused hacky features" ]

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[ "I just made the dummy data smaller :)\r\nOnce github refreshes the change I think we can merge !", "Thank you so much for reviewing and accepting my pull request!! :)\r\n\r\nI created these rather large dummy data sets to cover all different cases for the row structure. E.g. in the web configuration, it's possible that a row has evidence from wikipedia (\"EntityPages\") and the web (\"SearchResults\"). But it also might happen that either EntityPages or SearchResults is empty. Probably, I will add this thought to the dataset description in the future.", "Ok I see ! Yes feel free to mention it in the dataset card, this can be useful.\r\n\r\nFor the dummy data though we can keep the small ones, as the tests are mainly about testing the parsing from the dataset script rather than the actual content of the dataset." ]

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