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[ "Reading FLAC (for `librispeech_asr`) works OK for me (`soundfile` version: `0.10.3`):\r\n```python\r\nIn [2]: ds = load_dataset(\"datasets/librispeech_asr/librispeech_asr.py\", \"clean\", streaming=True, split=\"train.100\")\r\n\r\nIn [3]: item = next(iter(ds))\r\n\r\nIn [4]: item.keys()\r\nOut[4]: dict_keys(['file', 'audio', 'text', 'speaker_id', 'chapter_id', 'id'])\r\n\r\nIn [5]: item[\"file\"]\r\nOut[5]: '374-180298-0000.flac'\r\n\r\nIn [6]: item[\"audio\"].keys()\r\nOut[6]: dict_keys(['path', 'array', 'sampling_rate'])\r\n\r\nIn [7]: item[\"audio\"][\"sampling_rate\"]\r\nOut[7]: 16000\r\n\r\nIn [8]: item[\"audio\"][\"path\"]\r\nOut[8]: '374-180298-0000.flac'\r\n\r\nIn [9]: item[\"audio\"][\"array\"].shape\r\nOut[9]: (232480,)\r\n```", "Oh cool ! I think this might have come from an issue with my local `soundfile` installation then", "I'll do `multilingual_librispeech` in a separate PR since it requires the data to be in another format (in particular separate the train/dev/test splits in different files)" ]

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[ "Hi ! Thanks for reporting :)\r\nI think this is because the dataset is behind an access page. We can fix the dataset viewer\r\n\r\nIf you also have this error when you use the `datasets` library in python, you should probably pass `use_auth_token=True` to the `load_dataset()` function to use your account to access the dataset.", "Ah ok, I didn't realise about the login page. I'll try `use_auth_token=True` and see if that solves it.\r\n\r\nRegards!", "Hi, \r\n\r\nUsing `use_auth_token=True` and downloading the credentials with `huggingface-cli login` (stored in .huggingface/token) solved the issue.\r\n\r\nShould I leave the issue open until you fix the Dataset viewer issue?", "Cool ! Yes let's keep this issue open until the viewer is fixed - I'll close it when this is fixed. Thanks" ]

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[ "Hello @lhoestq, ```make style``` is applied as asked. :)" ]

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[ "The CI fail are caused by some missing sections or tags, which is unrelated to this PR. Merging !" ]

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[ "Hi @ZhaofengWu, thanks for reporting.\r\n\r\nUnfortunately, I'm not able to reproduce your bug:\r\n```python\r\nIn [1]: from datasets import load_dataset\r\n\r\nIn [2]: ds = load_dataset(\"coqa\")\r\nDownloading: 3.82kB [00:00, 1.91MB/s]\r\nDownloading: 1.79kB [00:00, 1.79MB/s]\r\nUsing custom data configuration default\r\nDownloading and preparing dataset coqa/default (download: 55.40 MiB, generated: 18.35 MiB, post-processed: Unknown size, total: 73.75 MiB) to .cache\\coqa\\default\\1.0.0\\553ce70bfdcd15ff4b5f4abc4fc2f37137139cde1f58f4f60384a53a327716f0...\r\nDownloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 49.0M/49.0M [00:06<00:00, 7.17MB/s]\r\nDownloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 9.09M/9.09M [00:01<00:00, 6.08MB/s]\r\n100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:12<00:00, 6.48s/it]\r\n100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 333.26it/s]\r\nDataset coqa downloaded and prepared to .cache\\coqa\\default\\1.0.0\\553ce70bfdcd15ff4b5f4abc4fc2f37137139cde1f58f4f60384a53a327716f0. Subsequent calls will reuse this data.\r\n100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 285.49it/s]\r\n\r\nIn [3]: ds\r\nOut[3]:\r\nDatasetDict({\r\n train: Dataset({\r\n features: ['source', 'story', 'questions', 'answers'],\r\n num_rows: 7199\r\n })\r\n validation: Dataset({\r\n features: ['source', 'story', 'questions', 'answers'],\r\n num_rows: 500\r\n })\r\n})\r\n```\r\n\r\nCould you please give more details about your development environment? You can run the command `datasets-cli env` and copy-and-paste its output:\r\n```\r\n- `datasets` version:\r\n- Platform:\r\n- Python version:\r\n- PyArrow version:\r\n```\r\nIt might be because you are using an old version of `datasets`. Could you please update it (`pip install -U datasets`) and confirm if the problem parsists? ", "I'm getting the same error in two separate environments:\r\n```\r\n- `datasets` version: 1.15.1\r\n- Platform: Linux-5.4.0-84-generic-x86_64-with-debian-bullseye-sid\r\n- Python version: 3.7.11\r\n- PyArrow version: 6.0.0\r\n```\r\n\r\n```\r\n- `datasets` version: 1.15.1\r\n- Platform: macOS-10.16-x86_64-i386-64bit\r\n- Python version: 3.9.5\r\n- PyArrow version: 6.0.0\r\n```", "I'm sorry, but don't get to reproduce the error in the Linux environment.\r\n\r\n@mariosasko @lhoestq can you reproduce it?", "I also can't reproduce the error on Windows/Linux (tested both the master and the `1.15.1` version). ", "Maybe the file had issues during the download ? Could you try to delete your cache and try again ?\r\nBy default the downloads cache is at `~/.cache/huggingface/datasets/downloads`\r\n\r\nAlso can you check if you have a proxy that could prevent the download to succeed ? Are you able to download those files via your browser ?", "I got the same error in a third environment (google cloud) as well. The internet for these three environments are all different so I don't think that's the reason.\r\n```\r\n- `datasets` version: 1.12.1\r\n- Platform: Linux-5.11.0-1022-gcp-x86_64-with-glibc2.31\r\n- Python version: 3.9.7\r\n- PyArrow version: 6.0.0\r\n```\r\nI deleted the entire `~/.cache/huggingface/datasets` on my local mac, and got a different first time error.\r\n```\r\nPython 3.9.5 (default, May 18 2021, 12:31:01) \r\n[Clang 10.0.0 ] :: Anaconda, Inc. on darwin\r\nType \"help\", \"copyright\", \"credits\" or \"license\" for more information.\r\n>>> from datasets import load_dataset\r\n>>> dataset = load_dataset(\"coqa\")\r\nDownloading: 3.82kB [00:00, 1.19MB/s] \r\nDownloading: 1.79kB [00:00, 712kB/s] \r\nUsing custom data configuration default\r\nDownloading and preparing dataset coqa/default (download: 55.40 MiB, generated: 18.35 MiB, post-processed: Unknown size, total: 73.75 MiB) to /Users/zhaofengw/.cache/huggingface/datasets/coqa/default/1.0.0/553ce70bfdcd15ff4b5f4abc4fc2f37137139cde1f58f4f60384a53a327716f0...\r\nDownloading: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 222/222 [00:00<00:00, 1.36MB/s]\r\n 50%|████████████████████████████████████████████████████████████████████████████████████████████████████████████▌ | 1/2 [00:00<00:00, 2.47it/s]Traceback (most recent call last):\r\n File \"<stdin>\", line 1, in <module>\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/load.py\", line 1632, in load_dataset\r\n builder_instance.download_and_prepare(\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/builder.py\", line 607, in download_and_prepare\r\n self._download_and_prepare(\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/builder.py\", line 675, in _download_and_prepare\r\n split_generators = self._split_generators(dl_manager, **split_generators_kwargs)\r\n File \"/Users/zhaofengw/.cache/huggingface/modules/datasets_modules/datasets/coqa/553ce70bfdcd15ff4b5f4abc4fc2f37137139cde1f58f4f60384a53a327716f0/coqa.py\", line 70, in _split_generators\r\n downloaded_files = dl_manager.download_and_extract(urls_to_download)\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/utils/download_manager.py\", line 284, in download_and_extract\r\n return self.extract(self.download(url_or_urls))\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/utils/download_manager.py\", line 196, in download\r\n downloaded_path_or_paths = map_nested(\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/utils/py_utils.py\", line 216, in map_nested\r\n mapped = [\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/utils/py_utils.py\", line 217, in <listcomp>\r\n _single_map_nested((function, obj, types, None, True))\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/utils/py_utils.py\", line 152, in _single_map_nested\r\n return function(data_struct)\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/utils/download_manager.py\", line 217, in _download\r\n return cached_path(url_or_filename, download_config=download_config)\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/utils/file_utils.py\", line 295, in cached_path\r\n output_path = get_from_cache(\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/utils/file_utils.py\", line 594, in get_from_cache\r\n raise ConnectionError(\"Couldn't reach {}\".format(url))\r\nConnectionError: Couldn't reach https://nlp.stanford.edu/data/coqa/coqa-dev-v1.0.json\r\n>>> dataset = load_dataset(\"coqa\")\r\nUsing custom data configuration default\r\nDownloading and preparing dataset coqa/default (download: 55.40 MiB, generated: 18.35 MiB, post-processed: Unknown size, total: 73.75 MiB) to /Users/zhaofengw/.cache/huggingface/datasets/coqa/default/1.0.0/553ce70bfdcd15ff4b5f4abc4fc2f37137139cde1f58f4f60384a53a327716f0...\r\nDownloading: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 222/222 [00:00<00:00, 1.38MB/s]\r\n100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 6.26it/s]\r\n100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 1087.45it/s]\r\n 50%|████████████████████████████████████████████████████████████████████████████████████████████████████████████▌ | 1/2 [00:45<00:45, 45.60s/it]\r\nTraceback (most recent call last):\r\n File \"<stdin>\", line 1, in <module>\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/load.py\", line 1632, in load_dataset\r\n builder_instance.download_and_prepare(\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/builder.py\", line 607, in download_and_prepare\r\n self._download_and_prepare(\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/builder.py\", line 679, in _download_and_prepare\r\n verify_checksums(\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/utils/info_utils.py\", line 40, in verify_checksums\r\n raise NonMatchingChecksumError(error_msg + str(bad_urls))\r\ndatasets.utils.info_utils.NonMatchingChecksumError: Checksums didn't match for dataset source files:\r\n['https://nlp.stanford.edu/data/coqa/coqa-train-v1.0.json', 'https://nlp.stanford.edu/data/coqa/coqa-dev-v1.0.json']\r\n```\r\nI can access the URL using my browser, though I did notice a redirection -- could that have something to do with it?", "Hi @ZhaofengWu, \r\n\r\nWhat about in Google Colab? Can you run this notebook without errors? \r\nhttps://colab.research.google.com/drive/1CCpiiHmtNlfO_4CZ3-fW-TSShr1M0rL4?usp=sharing", "I can run your notebook fine, but if I create one myself, it has that error: https://colab.research.google.com/drive/107GIdhrauPO6ZiFDY7G9S74in4qqI2Kx?usp=sharing.\r\n\r\nIt's so funny -- it's like whenever you guys run it it's fine but whenever I run it it fails, whatever the environment is.", "I guess it must be some connection issue: the data owner may be blocking requests coming from your country or IP range...", "I mean, I don't think google colab sends the connection from my IP. Same applies to google cloud." ]

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[ "Hi ! I think the issue comes from this [line](https://huggingface.co/datasets/liweili/c4_200m/blob/main/c4_200m.py#L87):\r\n```python\r\npath = filepath + \"/*.tsv*\"\r\n```\r\n\r\nYou can fix this by doing this instead:\r\n```python\r\npath = os.path.join(filepath, \"/*.tsv*\")\r\n```\r\n\r\nHere is why:\r\n\r\nLocally you can append `\"/*.tsv*\"` to your local path, however it doesn't work in streaming mode, and the dataset viewer does use the streaming mode.\r\nIn streaming mode, the download and extract part is done lazily. It means that instead of using local paths, it's still passing around URLs and [chained URLs](https://filesystem-spec.readthedocs.io/en/latest/features.html#url-chaining)\r\n\r\nTherefore in streaming mode, `filepath` is not a local path, but instead is equal to\r\n```python\r\nzip://::https://huggingface.co/datasets/liweili/c4_200m/resolve/main/data.zip\r\n```\r\nThe `zip://` part means that we navigate inside the remote ZIP file.\r\n\r\nYou must use `os.path.join` to navigate inside it and get your TSV files:\r\n```python\r\n>>> os.path.join(filepath, \"/*.tsv*\")\r\nzip://*.tsv*::https://huggingface.co/datasets/liweili/c4_200m/resolve/main/data.zip\r\n```\r\n\r\n`datasets` extends `os.path.join`, `glob.glob`, etc. in your dataset scripts to work with remote files.", "hi @lhoestq ! thanks for the tip! i've updated the line of code but it's still not working. am i doing something else wrong? thank you!" ]

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[ "Hi ! It looks like most of your changes are just `black` changes. All those changes are not necessary. In particular if you want to use `black`, please use the `make style` command instead. It runs `black` with additional parameters and you shouldn't end up with that many changes\r\n\r\nFeel free to open a new PR that doesn't include all the unnecessary `black` changes that you have on your branch :)", "> Hi ! It looks like most of your changes are just `black` changes. All those changes are not necessary. In particular if you want to use `black`, please use the `make style` command instead. It runs `black` with additional parameters and you shouldn't end up with that many changes\r\n> \r\n> Feel free to open a new PR that doesn't include all the unnecessary `black` changes that you have on your branch :)\r\n\r\nThank you for your answer :) , I will open a new PR with the correct changes.", "Hi @lhoestq, I submitted 3 commits in a new PR (#3277) where I did not apply black.\r\n\r\nI can apply the ```make style``` command if asked.", "Cool thanks ! Yes feel free to make sure you have `black==21.4b0` and run `make style`" ]

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[ "There seems to be problems with datasets metadata, of which I dont have access to. I think one of the datasets is from reddit. Can anyone help?", "Hello @LashaO , I think the errors were caused by `_DATA_FILES` in `definite_pronoun_resolution.py`. Here are details of the test error.\r\n```\r\nself = BuilderConfig(name='plain_text', version=1.0.0, data_dir=None, data_files={'train': 'train.c.txt', 'test': 'test.c.txt'}, description='Plain text import of the Definite Pronoun Resolution Dataset.')\r\n\r\n def __post_init__(self):\r\n # The config name is used to name the cache directory.\r\n invalid_windows_characters = r\"<>:/\\|?*\"\r\n for invalid_char in invalid_windows_characters:\r\n if invalid_char in self.name:\r\n raise InvalidConfigName(\r\n f\"Bad characters from black list '{invalid_windows_characters}' found in '{self.name}'. \"\r\n f\"They could create issues when creating a directory for this config on Windows filesystem.\"\r\n )\r\n if self.data_files is not None and not isinstance(self.data_files, DataFilesDict):\r\n> raise ValueError(f\"Expected a DataFilesDict in data_files but got {self.data_files}\")\r\nE ValueError: Expected a DataFilesDict in data_files but got {'train': 'train.c.txt', 'test': 'test.c.txt'}\r\n```" ]

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[ "Using `dataset = load_dataset(\"kilt_tasks\", \"wow\", ignore_verifications=True)` may fix it, but I do not think it is a elegant solution.", "Hi @slyviacassell, thanks for reporting.\r\n\r\nYes, there is an issue with the checksum verification. I'm fixing it.\r\n\r\nAnd as you pointed out, in the meantime, you can circumvent the problem by passing `ignore_verifications=True`. " ]

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[ "#take\r\nI am willing to fix this. Links can be replaced for WikiAuto Manual and jeopardy with new ones provided by authors.\r\n\r\nAs for the definite_pronoun_resolution URL, a certificate error seems to be preventing a download. I have the files on my local machine. I can include them in the dataset folder as the files are <1MB in size total.", "> #take I am willing to fix this. Links can be replaced for WikiAuto Manual and jeopardy.\r\n> \r\n> As for the definite_pronoun_resolution URL, a certificate error seems to be preventing a download. I have the files on my local machine. Anyone has opinions on whether it is preferable for me to host them somewhere (e.g. personal GDrive account) or upload them to the dataset folder directly and use github raw URLs? The files are <1MB in size.\r\n\r\nI am planning to fix it next few days. But my to-do list is full and I do not have the cache of definite_pronoun_resolution. I am glad that you can take this. Thanks a lot!", "No problem, buddy! Will submit a PR over this weekend." ]

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[ "Hi ! I think this is because `iter_archive` doesn't support ZIP files yet. See https://github.com/huggingface/datasets/issues/3272\r\n\r\nYou can navigate into the archive this way instead:\r\n```python\r\n# in split_generators\r\ndata_dir = dl_manager.download_and_extract(url)\r\ntrain_filepath = os.path.join(data_dir, \"all-sci-fi-data-train.txt\")\r\nreturn [\r\n datasets.SplitGenerator(\r\n name=datasets.Split.TRAIN,\r\n gen_kwargs={\r\n \"filepath\": train_filepath,\r\n },\r\n ),\r\n...\r\n])\r\n\r\n# in generate_examples\r\nwith open(filepath, encoding=\"utf-8\") as f:\r\n ...\r\n```" ]

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[ "The CI error is unrelated to the change." ]

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[ "Thank you for the cleanup!" ]

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[ "Hi, I would be glad to help with this. Is there anyone else working on it?", "Hi, I would be glad to work on this too.", "#self-assign", "Hi @Carlosbogo,\r\n\r\nwould you be interested in replacing the `.format` and `%` syntax with f-strings in the modules in the `datasets` directory since @Mehdi2402 has opened a PR that does that for all the other directories?", "Oh I see. I will be glad to help with the `datasets` directory then." ]

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[ "Haha it looks like you got the chance of being reviewed twice at the same time and got the same suggestion twice x)\r\nAnyway it's all good now so we can merge !", "Thanks for the feedback. " ]

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[ "The CI failures are unrelated to the changes (missing fields in the readme and the CER metric error fixed in #3252)." ]

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[ "Hi,\r\n\r\nthanks for reporting and providing a minimal reproducible example. \r\n\r\nThis line of the PR I've linked in our discussion on the Forum will add support for `None` values:\r\nhttps://github.com/huggingface/datasets/blob/a53de01842aac65c66a49b2439e18fa93ff73ceb/src/datasets/features/features.py#L835\r\n\r\nI expect that PR to be merged soon." ]

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