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[ "_The documentation is not available anymore as the PR was closed or merged._" ]

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[ "Thnaks for reporting @RRaphaell.\r\n\r\nWe are fixing it. " ]

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[ "Hi @cathyxl, thanks for reporting.\r\n\r\nIndeed, we have recently updated the loading script of that dataset (and fixed that bug as well):\r\n- #4002\r\n\r\nThat fix will be available in our next `datasets` library release. In the meantime, you can incorporate that fix by:\r\n- installing `datasets` from our GitHub repo:\r\n```bash\r\npip install git+https://github.com/huggingface/datasets#egg=datasets\r\n```\r\n- forcing the data files to be redownloaded\r\n```python\r\nds = load_dataset('conll2012_ontonotesv5', 'english_v4', split=\"test\", download_mode=\"force_redownload\")\r\n```\r\n\r\nFeel free to re-open this issue if the problem persists." ]

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[ "_The documentation is not available anymore as the PR was closed or merged._" ]

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[ "Hi ! You can access the faiss index with\r\n```python\r\nfaiss_index = my_dataset.get_index(\"my_index_name\").faiss_index\r\n```\r\nand then do whatever you want with it, e.g. query it using range_search:\r\n```python\r\nthreshold = 0.95\r\nlimits, distances, indices = faiss_index.range_search(x=xq, thresh=threshold)\r\n\r\ntexts = dataset[indices]\r\n```", "wow, that's great, thank you for the explanation. (if that's not already in the documentation, could be worth adding it)\r\n\r\nwhich type of faiss index is Datasets using? I looked into faiss recently and I understand that there are several different types of indexes and the choice is important, e.g. regarding which distance metric you use (euclidian vs. cosine/dot product), the size of my dataset etc. can I chose the type of index somehow as well?", "`Dataset.add_faiss_index` has a `string_factory` parameter, used to set the type of index (see the faiss documentation about [index factory](https://github.com/facebookresearch/faiss/wiki/The-index-factory)). Alternatively, you can pass an index you've defined yourself using faiss with the `custom_index` parameter of `Dataset.add_faiss_index` \r\n\r\nHere is the full documentation of `Dataset.add_faiss_index`: https://huggingface.co/docs/datasets/v2.0.0/en/package_reference/main_classes#datasets.Dataset.add_faiss_index", "great thanks, I will try it out" ]

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[ "_The documentation is not available anymore as the PR was closed or merged._" ]

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[ "Hi, @MoritzLaurer, thanks for reporting.\r\n\r\nNormally this is due to a mismatch between the versions of your Elasticsearch client and server:\r\n- your ES client is passing only keyword arguments to your ES server\r\n- whereas your ES server expects a positional argument called 'scheme'\r\n\r\nIn order to fix this, you should align the major versions of both Elasticsearch client and server.\r\n\r\nYou can have more info:\r\n- on this other issue page: https://github.com/huggingface/datasets/issues/3956#issuecomment-1072115173\r\n- Elasticsearch client docs: https://www.elastic.co/guide/en/elasticsearch/client/python-api/current/overview.html#_compatibility\r\n\r\nFeel free to re-open this issue if the problem persists.\r\n\r\nDuplicate of:\r\n- #3956", "1. Check elasticsearch version\r\n```\r\nimport elasticsearch\r\nprint(elasticsearch.__version__)\r\n```\r\nEx: 7.9.1\r\n2. Uninstall current elasticsearch package\r\n`pip uninstall elasticsearch`\r\n3. Install elasticsearch 7.9.1 package\r\n`pip install elasticsearch==7.9.1`" ]

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[ "_The documentation is not available anymore as the PR was closed or merged._" ]

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[ "Thanks for the suggestion, @Dref360.\r\n\r\nWe are adding that argument. " ]

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[ "_The documentation is not available anymore as the PR was closed or merged._", "This tip is unnecessary, i.e., Pillow will already be installed since the `Image` feature requires it for encoding and decoding. Thanks anyway.\r\n\r\ncc @stevhliu I've noticed we are missing the installation section in the doc (`pip install datasets[vision]`). I can add it myself." ]

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[ "_The documentation is not available anymore as the PR was closed or merged._", "The CI is failing because of issues in the dataset cards that are unrelated to this PR - merging" ]

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[ "_The documentation is not available anymore as the PR was closed or merged._" ]

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[ "_The documentation is not available anymore as the PR was closed or merged._" ]

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[ "_The documentation is not available anymore as the PR was closed or merged._" ]

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[ "_The documentation is not available anymore as the PR was closed or merged._", "The CI is failing because of the incomplete dataset card - this is unrelated to the goal of this PR so we can ignore it" ]

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[ "_The documentation is not available anymore as the PR was closed or merged._" ]

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[ "_The documentation is not available anymore as the PR was closed or merged._" ]

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[ "_The documentation is not available anymore as the PR was closed or merged._" ]

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[ "I found that the problem arises because the image files in my folder are actually symbolic links (for my own reasons). After modifications, the classes can now be correctly parsed. Therefore, I close this issue.", "HI, I have a question. How much time did you load the ImageNet data files? " ]

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[ "_The documentation is not available anymore as the PR was closed or merged._" ]

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[ "Hi @hazalturkmen, thanks for reporting.\r\n\r\nNote that your dataset repository does not contain any loading script; it only contains a data file named `tr_article_2`.\r\n\r\nWhen there is no loading script but only data files, the `datasets` library tries to infer how to load the data by looking at the data file extensions. However, your data file does not have any extension.\r\n\r\nNote that current supported data file extensions are: 'csv', 'tsv', 'json', 'jsonl', 'parquet', 'txt', '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', 'zip'.\r\n\r\nYou have more info on our docs: [How to share a dataset](https://huggingface.co/docs/datasets/share).", "thanks for reply :)" ]

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[ "_The documentation is not available anymore as the PR was closed or merged._", "Metrics are deprecated in `datasets` and `evaluate` should be used instead: https://github.com/huggingface/evaluate" ]

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[ "_The documentation is not available anymore as the PR was closed or merged._", "Merging since I'd like do do a patch release soon for this one" ]

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[ "Issue unresolved, see [4000](https://github.com/huggingface/datasets/issues/4009#issue-1179658611)" ]

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[ "Yay! I love this dataset!" ]

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[ "Hi! Use the `ArrayXD` feature type (where X is the number of dimensions) to get correctly formated tensors. So in your case, define the dataset as follows :\r\n```python\r\nds = Dataset.from_dict({\"A\": [torch.rand((2, 2))]}, features=Features({\"A\": Array2D(shape=(2, 2), dtype=\"float32\")}))\r\n```\r\n", "Hi @mariosasko I'm facing the same issue and the only work around I've found so far is to convert my `DatasetDict` to a dictionary and then create new objects with `Dataset.from_dict`.\r\n```\r\ndataset = load_dataset(\"my_dataset.py\")\r\ndataset = dataset.map(lambda example: blabla(example))\r\ndict_dataset_test = dataset[\"test\"].to_dict()\r\n...\r\ndataset_test = Dataset.from_dict(dict_dataset_test, features=Features(features))\r\n```\r\nHowever, converting a `Dataset` object to a dict takes quite a lot of time and memory... Is there a way to directly create an `Array2D` without having to transform the original `Dataset` to a dict?", "Hi! Yes, you can directly pass the `Features` dictionary as `features` in `map` to cast the column to `Array2D`:\r\n```python\r\ndataset = dataset.map(lambda example: blabla(example), features=Features(features))\r\n```\r\nOr you can use `cast` after `map` to do that:\r\n```python\r\ndataset = dataset.map(lambda example: blabla(example))\r\ndataset = dataset.cast(Features(features))\r\n```", "Fantastic thank you @mariosasko\r\nThe first option you suggested is indeed way faster 😃 " ]

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[ "_The documentation is not available anymore as the PR was closed or merged._" ]

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[ "I don't think it's an issue with the dataset-viewer. Maybe @lhoestq or @albertvillanova could confirm.\r\n\r\n```python\r\n>>> from datasets import load_dataset, DownloadMode\r\n>>> import itertools\r\n>>> # without streaming\r\n>>> dataset = load_dataset(\"yelp_review_full\", name=\"yelp_review_full\", split=\"train\", download_mode=DownloadMode.FORCE_REDOWNLOAD)\r\n\r\nDownloading builder script: 4.39kB [00:00, 5.97MB/s]\r\nDownloading metadata: 2.13kB [00:00, 3.14MB/s]\r\nDownloading and preparing dataset yelp_review_full/yelp_review_full (download: 187.06 MiB, generated: 496.94 MiB, post-processed: Unknown size, total: 684.00 MiB) to /home/slesage/.cache/huggingface/datasets/yelp_review_full/yelp_review_full/1.0.0/13c31a618ba62568ec8572a222a283dfc29a6517776a3ac5945fb508877dde43...\r\nDownloading data: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1.10k/1.10k [00:00<00:00, 1.39MB/s]\r\nTraceback (most recent call last):\r\n File \"<stdin>\", line 1, in <module>\r\n File \"/home/slesage/hf/datasets/src/datasets/load.py\", line 1687, in load_dataset\r\n builder_instance.download_and_prepare(\r\n File \"/home/slesage/hf/datasets/src/datasets/builder.py\", line 605, in download_and_prepare\r\n self._download_and_prepare(\r\n File \"/home/slesage/hf/datasets/src/datasets/builder.py\", line 1104, in _download_and_prepare\r\n super()._download_and_prepare(dl_manager, verify_infos, check_duplicate_keys=verify_infos)\r\n File \"/home/slesage/hf/datasets/src/datasets/builder.py\", line 676, in _download_and_prepare\r\n verify_checksums(\r\n File \"/home/slesage/hf/datasets/src/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://drive.google.com/uc?export=download&id=0Bz8a_Dbh9QhbZlU4dXhHTFhZQU0']\r\n\r\n>>> # with streaming\r\n>>> dataset = load_dataset(\"yelp_review_full\", name=\"yelp_review_full\", split=\"train\", download_mode=DownloadMode.FORCE_REDOWNLOAD, streaming=True)\r\n\r\nDownloading builder script: 4.39kB [00:00, 5.53MB/s]\r\nDownloading metadata: 2.13kB [00:00, 3.14MB/s]\r\nTraceback (most recent call last):\r\n File \"/home/slesage/.pyenv/versions/datasets/lib/python3.8/site-packages/fsspec/implementations/http.py\", line 375, in _info\r\n await _file_info(\r\n File \"/home/slesage/.pyenv/versions/datasets/lib/python3.8/site-packages/fsspec/implementations/http.py\", line 736, in _file_info\r\n r.raise_for_status()\r\n File \"/home/slesage/.pyenv/versions/datasets/lib/python3.8/site-packages/aiohttp/client_reqrep.py\", line 1000, in raise_for_status\r\n raise ClientResponseError(\r\naiohttp.client_exceptions.ClientResponseError: 403, message='Forbidden', url=URL('https://doc-0g-bs-docs.googleusercontent.com/docs/securesc/ha0ro937gcuc7l7deffksulhg5h7mbp1/gklhpdq1arj8v15qrg7ces34a8c3413d/1648144575000/07511006523564980941/*/0Bz8a_Dbh9QhbZlU4dXhHTFhZQU0?e=download')\r\n\r\nThe above exception was the direct cause of the following exception:\r\n\r\nTraceback (most recent call last):\r\n File \"<stdin>\", line 1, in <module>\r\n File \"/home/slesage/hf/datasets/src/datasets/load.py\", line 1677, in load_dataset\r\n return builder_instance.as_streaming_dataset(\r\n File \"/home/slesage/hf/datasets/src/datasets/builder.py\", line 906, in as_streaming_dataset\r\n splits_generators = {sg.name: sg for sg in self._split_generators(dl_manager)}\r\n File \"/home/slesage/.cache/huggingface/modules/datasets_modules/datasets/yelp_review_full/13c31a618ba62568ec8572a222a283dfc29a6517776a3ac5945fb508877dde43/yelp_review_full.py\", line 102, in _split_generators\r\n data_dir = dl_manager.download_and_extract(my_urls)\r\n File \"/home/slesage/hf/datasets/src/datasets/utils/streaming_download_manager.py\", line 800, in download_and_extract\r\n return self.extract(self.download(url_or_urls))\r\n File \"/home/slesage/hf/datasets/src/datasets/utils/streaming_download_manager.py\", line 778, in extract\r\n urlpaths = map_nested(self._extract, path_or_paths, map_tuple=True)\r\n File \"/home/slesage/hf/datasets/src/datasets/utils/py_utils.py\", line 306, in map_nested\r\n return function(data_struct)\r\n File \"/home/slesage/hf/datasets/src/datasets/utils/streaming_download_manager.py\", line 783, in _extract\r\n protocol = _get_extraction_protocol(urlpath, use_auth_token=self.download_config.use_auth_token)\r\n File \"/home/slesage/hf/datasets/src/datasets/utils/streaming_download_manager.py\", line 372, in _get_extraction_protocol\r\n with fsspec.open(urlpath, **kwargs) as f:\r\n File \"/home/slesage/.pyenv/versions/datasets/lib/python3.8/site-packages/fsspec/core.py\", line 102, in __enter__\r\n f = self.fs.open(self.path, mode=mode)\r\n File \"/home/slesage/.pyenv/versions/datasets/lib/python3.8/site-packages/fsspec/spec.py\", line 978, in open\r\n f = self._open(\r\n File \"/home/slesage/.pyenv/versions/datasets/lib/python3.8/site-packages/fsspec/implementations/http.py\", line 335, in _open\r\n size = size or self.info(path, **kwargs)[\"size\"]\r\n File \"/home/slesage/.pyenv/versions/datasets/lib/python3.8/site-packages/fsspec/asyn.py\", line 88, in wrapper\r\n return sync(self.loop, func, *args, **kwargs)\r\n File \"/home/slesage/.pyenv/versions/datasets/lib/python3.8/site-packages/fsspec/asyn.py\", line 69, in sync\r\n raise result[0]\r\n File \"/home/slesage/.pyenv/versions/datasets/lib/python3.8/site-packages/fsspec/asyn.py\", line 25, in _runner\r\n result[0] = await coro\r\n File \"/home/slesage/.pyenv/versions/datasets/lib/python3.8/site-packages/fsspec/implementations/http.py\", line 388, in _info\r\n raise FileNotFoundError(url) from exc\r\nFileNotFoundError: https://drive.google.com/uc?export=download&id=0Bz8a_Dbh9QhbZlU4dXhHTFhZQU0&confirm=t\r\n```\r\n\r\nAnd this is before even trying to access the rows with\r\n\r\n```python\r\n>>> rows = list(itertools.islice(dataset, 100))\r\n>>> rows = list(dataset.take(100))\r\n```", "Yet another issue related to google drive not being nice. Most likely your IP has been banned from using their API programmatically. Do you know if we are allowed to host and redistribute the data ourselves ?", "Hi,\r\n\r\nFacing the same issue while loading the dataset: \r\n\r\n`Error: {NonMatchingChecksumError}Checksums didn't match for dataset source files`\r\n\r\nThanks", "> Facing the same issue while loading the dataset:\r\n> \r\n> Error: {NonMatchingChecksumError}Checksums didn't match for dataset source files\r\n\r\nThanks for reporting. I think this is the same issue. Feel free to try again later, once Google Drive stopped blocking you. You can retry by passing `download_mode=\"force_redownload\"` to `load_dataset`", "I noticed that FastAI hosts the Yelp dataset at https://s3.amazonaws.com/fast-ai-nlp/yelp_review_full_csv.tgz (from their catalog [here](https://course.fast.ai/datasets))\r\n\r\nLet's update the yelp dataset script to download from there instead of Google Drive", "I updated the link to not use Google Drive anymore, we will do a release early next week with the updated download url of the dataset :)" ]

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[ "_The documentation is not available anymore as the PR was closed or merged._" ]

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[ "Using latest code, I am still facing the issue.\r\n\r\n```python\r\n(base) vimos@vimosmu ➜ ~ ipython\r\nPython 3.6.7 | packaged by conda-forge | (default, Nov 6 2019, 16:19:42) \r\nType 'copyright', 'credits' or 'license' for more information\r\nIPython 7.11.1 -- An enhanced Interactive Python. Type '?' for help.\r\n\r\nIn [1]: from datasets import load_dataset\r\n\r\nIn [2]: load_dataset(\"assin2\")\r\nDownloading builder script: 4.24kB [00:00, 244kB/s]\r\nDownloading metadata: 2.58kB [00:00, 2.19MB/s]\r\nUsing custom data configuration default\r\nDownloading and preparing dataset assin2/default (download: 2.02 MiB, generated: 1.21 MiB, post-processed: Unknown size, total: 3.23 MiB) to /home/vimos/.cache/huggingface/datasets/assin2/default/1.0.0/8467f7acbda82f62ab960ca869dc1e96350e0e103a1ef7eaa43bbee530b80061...\r\nDownloading data: 1.51MB [00:00, 102MB/s]\r\nDownloading data: 116kB [00:00, 63.6MB/s]\r\nDownloading data: 493kB [00:00, 95.8MB/s] \r\nDownloading data files: 100%|██████████████████████████████████████████| 3/3 [00:00<00:00, 8.27it/s]\r\n---------------------------------------------------------------------------\r\nExpectedMoreDownloadedFiles Traceback (most recent call last)\r\n<ipython-input-2-b367d1ffd68e> in <module>\r\n----> 1 load_dataset(\"assin2\")\r\n\r\n~/anaconda3/lib/python3.6/site-packages/datasets/load.py in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, ignore_verifications, keep_in_memory, save_infos, revision, use_auth_token, task, streaming, **config_kwargs)\r\n 1694 ignore_verifications=ignore_verifications,\r\n 1695 try_from_hf_gcs=try_from_hf_gcs,\r\n-> 1696 use_auth_token=use_auth_token,\r\n 1697 )\r\n 1698\r\n\r\n~/anaconda3/lib/python3.6/site-packages/datasets/builder.py in download_and_prepare(self, download_config, download_mode, ignore_verifications, try_from_hf_gcs, dl_manager, base_path, use_auth_token, **download_and_prepare_kwargs)\r\n 604 if not downloaded_from_gcs:\r\n 605 self._download_and_prepare(\r\n--> 606 dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs\r\n 607 )\r\n 608 # Sync info\r\n\r\n~/anaconda3/lib/python3.6/site-packages/datasets/builder.py in _download_and_prepare(self, dl_manager, verify_infos)\r\n 1102\r\n 1103 def _download_and_prepare(self, dl_manager, verify_infos):\r\n-> 1104 super()._download_and_prepare(dl_manager, verify_infos, check_duplicate_keys=verify_infos)\r\n 1105\r\n 1106 def _get_examples_iterable_for_split(self, split_generator: SplitGenerator) -> ExamplesIterable:\r\n\r\n~/anaconda3/lib/python3.6/site-packages/datasets/builder.py in _download_and_prepare(self, dl_manager, verify_infos, **prepare_split_kwargs)\r\n 675 if verify_infos:\r\n 676 verify_checksums(\r\n--> 677 self.info.download_checksums, dl_manager.get_recorded_sizes_checksums(), \"dataset source files\"\r\n 678 )\r\n 679\r\n\r\n~/anaconda3/lib/python3.6/site-packages/datasets/utils/info_utils.py in verify_checksums(expected_checksums, recorded_checksums, verification_name)\r\n 31 return\r\n 32 if len(set(expected_checksums) - set(recorded_checksums)) > 0:\r\n---> 33 raise ExpectedMoreDownloadedFiles(str(set(expected_checksums) - set(recorded_checksums)))\r\n 34 if len(set(recorded_checksums) - set(expected_checksums)) > 0:\r\n 35 raise UnexpectedDownloadedFile(str(set(recorded_checksums) - set(expected_checksums)))\r\n\r\nExpectedMoreDownloadedFiles: {'https://drive.google.com/u/0/uc?id=1kb7xq6Mb3eaqe9cOAo70BaG9ypwkIqEU&export=download', 'https://drive.google.com/u/0/uc?id=1J3FpQaHxpM-FDfBUyooh-sZF-B-bM_lU&export=download', 'https://drive.google.com/u/0/uc?id=1Q9j1a83CuKzsHCGaNulSkNxBm7Dkn7Ln&export=download'}\r\n```", "That's true. Steps to reproduce the bug on Google Colab:\r\n\r\n```\r\ngit clone https://github.com/huggingface/datasets.git\r\ncd datasets\r\npip install -e .\r\npython -c \"from datasets import load_dataset; print(load_dataset('assin2')['train'][0])\"\r\n```\r\n\r\nHowever the dataset will load without any problems if you just install version 2.0.0:\r\n\r\n ```\r\npip install datasets\r\npython -c \"from datasets import load_dataset; print(load_dataset('assin2')['train'][0])\"\r\n```\r\n\r\nAny thoughts @lhoestq ?", "Right indeed ! Let me open a PR to fix this.\r\nThe dataset_infos.json file that stores some metadata about the dataset to download (and is used to verify it was correctly downloaded) hasn't been updated correctly", "Not sure what the status of this is, but personally I am still getting this error, with glue.", "Can you open a new issue if you got an error with glue please ?", "Have posted at #4241" ]

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[ "_The documentation is not available anymore as the PR was closed or merged._" ]

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[ "Hi! Replacing `nlp.<obj>` with `datasets.<obj>` in the script should fix the problem. `nlp` has been renamed to `datasets` more than a year ago, so please use `datasets` instead to avoid weird issues.", "Thank You! Was able to solve with the help of this.", "But I request you to please fix the same in the dataset hub explorer as well...", "May I ask how to get this dataset?" ]

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[ "Hi @i-am-neo,\r\n\r\nThe audio support is an extra feature of `datasets` and therefore it must be installed as an additional optional dependency:\r\n```shell\r\npip install datasets[audio]\r\n```\r\nAdditionally, for specific MP3 support (which is not the case for AMI dataset, that contains WAV audio files), there is another third-party dependency on `torchaudio`.\r\n\r\nYou have all the information in our docs: https://huggingface.co/docs/datasets/audio_process#installation", "Thanks @albertvillanova . Unfortunately the error persists after installing ```datasets[audio]```. Can you direct towards a solution?\r\n\r\n```\r\npip3 install datasets[audio]\r\n```\r\n### log\r\nRequirement already satisfied: datasets[audio] in ./.virtualenvs/hubert/lib/python3.7/site-packages (1.18.3)\r\nRequirement already satisfied: numpy>=1.17 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from datasets[audio]) (1.21.5)\r\nRequirement already satisfied: xxhash in ./.virtualenvs/hubert/lib/python3.7/site-packages (from datasets[audio]) (3.0.0)\r\nRequirement already satisfied: fsspec[http]>=2021.05.0 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from datasets[audio]) (2022.2.0)\r\nRequirement already satisfied: dill in ./.virtualenvs/hubert/lib/python3.7/site-packages (from datasets[audio]) (0.3.4)\r\nRequirement already satisfied: pandas in ./.virtualenvs/hubert/lib/python3.7/site-packages (from datasets[audio]) (1.3.5)\r\nRequirement already satisfied: huggingface-hub<1.0.0,>=0.1.0 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from datasets[audio]) (0.4.0)\r\nRequirement already satisfied: packaging in ./.virtualenvs/hubert/lib/python3.7/site-packages (from datasets[audio]) (21.3)\r\nRequirement already satisfied: multiprocess in ./.virtualenvs/hubert/lib/python3.7/site-packages (from datasets[audio]) (0.70.12.2)\r\nRequirement already satisfied: pyarrow!=4.0.0,>=3.0.0 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from datasets[audio]) (7.0.0)\r\nRequirement already satisfied: tqdm>=4.62.1 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from datasets[audio]) (4.63.1)\r\nRequirement already satisfied: aiohttp in ./.virtualenvs/hubert/lib/python3.7/site-packages (from datasets[audio]) (3.8.1)\r\nRequirement already satisfied: importlib-metadata in ./.virtualenvs/hubert/lib/python3.7/site-packages (from datasets[audio]) (4.11.3)\r\nRequirement already satisfied: requests>=2.19.0 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from datasets[audio]) (2.27.1)\r\nRequirement already satisfied: librosa in ./.virtualenvs/hubert/lib/python3.7/site-packages (from datasets[audio]) (0.9.1)\r\nRequirement already satisfied: pyyaml in ./.virtualenvs/hubert/lib/python3.7/site-packages (from huggingface-hub<1.0.0,>=0.1.0->datasets[audio]) (6.0)\r\nRequirement already satisfied: typing-extensions>=3.7.4.3 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from huggingface-hub<1.0.0,>=0.1.0->datasets[audio]) (4.1.1)\r\nRequirement already satisfied: filelock in ./.virtualenvs/hubert/lib/python3.7/site-packages (from huggingface-hub<1.0.0,>=0.1.0->datasets[audio]) (3.6.0)\r\nRequirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from packaging->datasets[audio]) (3.0.7)\r\nRequirement already satisfied: idna<4,>=2.5 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from requests>=2.19.0->datasets[audio]) (3.3)\r\nRequirement already satisfied: certifi>=2017.4.17 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from requests>=2.19.0->datasets[audio]) (2021.10.8)\r\nRequirement already satisfied: charset-normalizer~=2.0.0 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from requests>=2.19.0->datasets[audio]) (2.0.12)\r\nRequirement already satisfied: urllib3<1.27,>=1.21.1 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from requests>=2.19.0->datasets[audio]) (1.26.9)\r\nRequirement already satisfied: attrs>=17.3.0 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from aiohttp->datasets[audio]) (21.4.0)\r\nRequirement already satisfied: frozenlist>=1.1.1 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from aiohttp->datasets[audio]) (1.3.0)\r\nRequirement already satisfied: aiosignal>=1.1.2 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from aiohttp->datasets[audio]) (1.2.0)\r\nRequirement already satisfied: yarl<2.0,>=1.0 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from aiohttp->datasets[audio]) (1.7.2)\r\nRequirement already satisfied: asynctest==0.13.0 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from aiohttp->datasets[audio]) (0.13.0)\r\nRequirement already satisfied: multidict<7.0,>=4.5 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from aiohttp->datasets[audio]) (6.0.2)\r\nRequirement already satisfied: async-timeout<5.0,>=4.0.0a3 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from aiohttp->datasets[audio]) (4.0.2)\r\nRequirement already satisfied: zipp>=0.5 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from importlib-metadata->datasets[audio]) (3.7.0)\r\nRequirement already satisfied: decorator>=4.0.10 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from librosa->datasets[audio]) (5.1.1)\r\nRequirement already satisfied: soundfile>=0.10.2 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from librosa->datasets[audio]) (0.10.3.post1)\r\nRequirement already satisfied: numba>=0.45.1 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from librosa->datasets[audio]) (0.55.1)\r\nRequirement already satisfied: pooch>=1.0 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from librosa->datasets[audio]) (1.6.0)\r\nRequirement already satisfied: resampy>=0.2.2 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from librosa->datasets[audio]) (0.2.2)\r\nRequirement already satisfied: audioread>=2.1.5 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from librosa->datasets[audio]) (2.1.9)\r\nRequirement already satisfied: joblib>=0.14 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from librosa->datasets[audio]) (1.1.0)\r\nRequirement already satisfied: scipy>=1.2.0 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from librosa->datasets[audio]) (1.7.3)\r\nRequirement already satisfied: scikit-learn>=0.19.1 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from librosa->datasets[audio]) (1.0.2)\r\nRequirement already satisfied: python-dateutil>=2.7.3 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from pandas->datasets[audio]) (2.8.2)\r\nRequirement already satisfied: pytz>=2017.3 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from pandas->datasets[audio]) (2022.1)\r\nRequirement already satisfied: setuptools in ./.virtualenvs/hubert/lib/python3.7/site-packages (from numba>=0.45.1->librosa->datasets[audio]) (60.10.0)\r\nRequirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from numba>=0.45.1->librosa->datasets[audio]) (0.38.0)\r\nRequirement already satisfied: appdirs>=1.3.0 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from pooch>=1.0->librosa->datasets[audio]) (1.4.4)\r\nRequirement already satisfied: six>=1.5 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from python-dateutil>=2.7.3->pandas->datasets[audio]) (1.16.0)\r\nRequirement already satisfied: threadpoolctl>=2.0.0 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from scikit-learn>=0.19.1->librosa->datasets[audio]) (3.1.0)\r\nRequirement already satisfied: cffi>=1.0 in ./.virtualenvs/hubert/lib/python3.7/site-packages (from soundfile>=0.10.2->librosa->datasets[audio]) (1.15.0)\r\nRequirement already satisfied: pycparser in ./.virtualenvs/hubert/lib/python3.7/site-packages (from cffi>=1.0->soundfile>=0.10.2->librosa->datasets[audio]) (2.21)\r\n\r\n### reload\r\n```\r\npython3 -c \"from datasets import load_dataset; print(load_dataset('ami', 'headset-single', split='validation')[0])\"\r\n```\r\n\r\n### log\r\nDownloading and preparing dataset ami/headset-single (download: 10.71 GiB, generated: 49.99 MiB, post-processed: Unknown size, total: 10.76 GiB) to /home/neo/.cache/huggingface/datasets/ami/headset-single/1.6.2/2accdf810f7c0585f78f4bcfa47684fbb980e35d29ecf126e6906dbecb872d9e...\r\nAMI corpus cannot be downloaded using multi-processing. Setting number of downloaded processes `num_proc` to 1. \r\n100%|██████████████████████████████████████████████████████| 136/136 [00:00<00:00, 33542.59it/s]\r\n100%|█████████████████████████████████████████████████████████| 136/136 [00:06<00:00, 22.28it/s]\r\n100%|████████████████████████████████████████████████████████| 18/18 [00:00<00:00, 21558.39it/s]\r\n100%|█████████████████████████████████████████████████████████| 18/18 [00:00<00:00, 2996.41it/s]\r\n100%|████████████████████████████████████████████████████████| 16/16 [00:00<00:00, 23431.87it/s]\r\n100%|█████████████████████████████████████████████████████████| 16/16 [00:00<00:00, 2697.52it/s]\r\nTraceback (most recent call last):\r\n File \"<string>\", line 1, in <module>\r\n File \"/home/neo/.virtualenvs/hubert/lib/python3.7/site-packages/datasets/load.py\", line 1707, in load_dataset\r\n use_auth_token=use_auth_token,\r\n File \"/home/neo/.virtualenvs/hubert/lib/python3.7/site-packages/datasets/builder.py\", line 595, in download_and_prepare\r\n dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs\r\n File \"/home/neo/.virtualenvs/hubert/lib/python3.7/site-packages/datasets/builder.py\", line 690, in _download_and_prepare\r\n ) from None\r\nOSError: Cannot find data file. \r\nOriginal error:\r\nsndfile library not found\r\n\r\n### just to double-check as per your docs\r\n```\r\npip3 install librosa torchaudio\r\n```\r\n\r\n### logs\r\nRequirement already satisfied: librosa in /home/neo/.virtualenvs/hubert/lib/python3.7/site-packages (0.9.1)\r\nRequirement already satisfied: torchaudio in /home/neo/.virtualenvs/hubert/lib/python3.7/site-packages (0.11.0+cu113)\r\nRequirement already satisfied: audioread>=2.1.5 in /home/neo/.virtualenvs/hubert/lib/python3.7/site-packages (from librosa) (2.1.9)\r\nRequirement already satisfied: joblib>=0.14 in /home/neo/.virtualenvs/hubert/lib/python3.7/site-packages (from librosa) (1.1.0)\r\nRequirement already satisfied: packaging>=20.0 in /home/neo/.virtualenvs/hubert/lib/python3.7/site-packages (from librosa) (21.3)\r\nRequirement already satisfied: scikit-learn>=0.19.1 in /home/neo/.virtualenvs/hubert/lib/python3.7/site-packages (from librosa) (1.0.2)\r\nRequirement already satisfied: scipy>=1.2.0 in /home/neo/.virtualenvs/hubert/lib/python3.7/site-packages (from librosa) (1.7.3)\r\nRequirement already satisfied: decorator>=4.0.10 in /home/neo/.virtualenvs/hubert/lib/python3.7/site-packages (from librosa) (5.1.1)\r\nRequirement already satisfied: resampy>=0.2.2 in /home/neo/.virtualenvs/hubert/lib/python3.7/site-packages (from librosa) (0.2.2)\r\nRequirement already satisfied: pooch>=1.0 in /home/neo/.virtualenvs/hubert/lib/python3.7/site-packages (from librosa) (1.6.0)\r\nRequirement already satisfied: numpy>=1.17.0 in /home/neo/.virtualenvs/hubert/lib/python3.7/site-packages (from librosa) (1.21.5)\r\nRequirement already satisfied: soundfile>=0.10.2 in /home/neo/.virtualenvs/hubert/lib/python3.7/site-packages (from librosa) (0.10.3.post1)\r\nRequirement already satisfied: numba>=0.45.1 in /home/neo/.virtualenvs/hubert/lib/python3.7/site-packages (from librosa) (0.55.1)\r\nRequirement already satisfied: torch==1.11.0 in /home/neo/.virtualenvs/hubert/lib/python3.7/site-packages (from torchaudio) (1.11.0+cu113)\r\nRequirement already satisfied: typing-extensions in /home/neo/.virtualenvs/hubert/lib/python3.7/site-packages (from torch==1.11.0->torchaudio) (4.1.1)\r\nRequirement already satisfied: setuptools in /home/neo/.virtualenvs/hubert/lib/python3.7/site-packages (from numba>=0.45.1->librosa) (60.10.0)\r\nRequirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in /home/neo/.virtualenvs/hubert/lib/python3.7/site-packages (from numba>=0.45.1->librosa) (0.38.0)\r\nRequirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /home/neo/.virtualenvs/hubert/lib/python3.7/site-packages (from packaging>=20.0->librosa) (3.0.7)\r\nRequirement already satisfied: requests>=2.19.0 in /home/neo/.virtualenvs/hubert/lib/python3.7/site-packages (from pooch>=1.0->librosa) (2.27.1)\r\nRequirement already satisfied: appdirs>=1.3.0 in /home/neo/.virtualenvs/hubert/lib/python3.7/site-packages (from pooch>=1.0->librosa) (1.4.4)\r\nRequirement already satisfied: six>=1.3 in /home/neo/.virtualenvs/hubert/lib/python3.7/site-packages (from resampy>=0.2.2->librosa) (1.16.0)\r\nRequirement already satisfied: threadpoolctl>=2.0.0 in /home/neo/.virtualenvs/hubert/lib/python3.7/site-packages (from scikit-learn>=0.19.1->librosa) (3.1.0)\r\nRequirement already satisfied: cffi>=1.0 in /home/neo/.virtualenvs/hubert/lib/python3.7/site-packages (from soundfile>=0.10.2->librosa) (1.15.0)\r\nRequirement already satisfied: pycparser in /home/neo/.virtualenvs/hubert/lib/python3.7/site-packages (from cffi>=1.0->soundfile>=0.10.2->librosa) (2.21)\r\nRequirement already satisfied: charset-normalizer~=2.0.0 in /home/neo/.virtualenvs/hubert/lib/python3.7/site-packages (from requests>=2.19.0->pooch>=1.0->librosa) (2.0.12)\r\nRequirement already satisfied: certifi>=2017.4.17 in /home/neo/.virtualenvs/hubert/lib/python3.7/site-packages (from requests>=2.19.0->pooch>=1.0->librosa) (2021.10.8)\r\nRequirement already satisfied: urllib3<1.27,>=1.21.1 in /home/neo/.virtualenvs/hubert/lib/python3.7/site-packages (from requests>=2.19.0->pooch>=1.0->librosa) (1.26.9)\r\nRequirement already satisfied: idna<4,>=2.5 in /home/neo/.virtualenvs/hubert/lib/python3.7/site-packages (from requests>=2.19.0->pooch>=1.0->librosa) (3.3)\r\n\r\n### try loading again\r\n```\r\npython3 -c \"from datasets import load_dataset; print(load_dataset('ami', 'headset-single', split='validation')[0])\"\r\n```\r\n\r\n### same error\r\nDownloading and preparing dataset ami/headset-single (download: 10.71 GiB, generated: 49.99 MiB, post-processed: Unknown size, total: 10.76 GiB) to /home/neo/.cache/huggingface/datasets/ami/headset-single/1.6.2/2accdf810f7c0585f78f4bcfa47684fbb980e35d29ecf126e6906dbecb872d9e...\r\nAMI corpus cannot be downloaded using multi-processing. Setting number of downloaded processes `num_proc` to 1. \r\n100%|██████████████████████████████████████████████████████| 136/136 [00:00<00:00, 33542.59it/s]\r\n100%|█████████████████████████████████████████████████████████| 136/136 [00:06<00:00, 22.28it/s]\r\n100%|████████████████████████████████████████████████████████| 18/18 [00:00<00:00, 21558.39it/s]\r\n100%|█████████████████████████████████████████████████████████| 18/18 [00:00<00:00, 2996.41it/s]\r\n100%|████████████████████████████████████████████████████████| 16/16 [00:00<00:00, 23431.87it/s]\r\n100%|█████████████████████████████████████████████████████████| 16/16 [00:00<00:00, 2697.52it/s]\r\nTraceback (most recent call last):\r\n File \"<string>\", line 1, in <module>\r\n File \"/home/neo/.virtualenvs/hubert/lib/python3.7/site-packages/datasets/load.py\", line 1707, in load_dataset\r\n use_auth_token=use_auth_token,\r\n File \"/home/neo/.virtualenvs/hubert/lib/python3.7/site-packages/datasets/builder.py\", line 595, in download_and_prepare\r\n dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs\r\n File \"/home/neo/.virtualenvs/hubert/lib/python3.7/site-packages/datasets/builder.py\", line 690, in _download_and_prepare\r\n ) from None\r\nOSError: Cannot find data file. \r\nOriginal error:\r\nsndfile library not found\r\n", "Hi @i-am-neo, thanks again for your detailed report.\r\n\r\nOur `datasets` library support for audio relies on a third-party Python library called `librosa`, which is installed when you do:\r\n```shell\r\npip install datasets[audio]\r\n```\r\n\r\nHowever, the `librosa` library has a dependency on `soundfile`; and `soundfile` depends on a non-Python package called `sndfile`. \r\n\r\nOn Linux (which is your case), this must be installed manually using your operating system package manager, for example:\r\n```shell\r\nsudo apt-get install libsndfile1\r\n```\r\n\r\nPlease, let me know if this works and if so, I will update our docs with all this information.", "@albertvillanova thanks, all good. The key is ```libsndfile1``` - it may help others to note that in your docs. I had installed libsndfile previously." ]

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[ "_The documentation is not available anymore as the PR was closed or merged._" ]

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[ "_The documentation is not available anymore as the PR was closed or merged._", "@albertvillanova do you think [this line](https://github.com/huggingface/datasets/pull/3998/files#diff-58e348f6e4deaa5f3119e420a5d48ebb82875a78c28628831748fb54f59b2c78R67) is enough? that's why we missed this bug, we didn't check this case" ]

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[ "_The documentation is not available anymore as the PR was closed or merged._" ]

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[ "Good catch ! Yes I think passing `format=\"wav\"` is the right thing to do", "Thanks @polinaeterna for reporting this issue.\r\n\r\nIn relation to the decoding of MP3 audio files without torchaudio, I remember Patrick made some tests and these had quite bad performance. That is why he proposed to support MP3 files only with torchaudio. But yes, nice to give an alternative to non-torchaudio users (with a big warning on performance).", "> I remember Patrick made some tests and these had quite bad performance. That is why he proposed to support MP3 files only with torchaudio.\r\n\r\nYeah, I know, but as far as I understand, some users just categorically don't want to have torchaudio in their environment. Anyway, it's just a more or less random example, they can use any library they like following the same logic (I'm just not a big expert in decoding utils so if you can give me some presentation / resources about that I would really appreciate it 🤗)" ]

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[ "_The documentation is not available anymore as the PR was closed or merged._" ]

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[ "Same thing occurs when streaming files loaded from disk.", "Hi ! Thanks for reporting, could this be related to https://github.com/huggingface/datasets/issues/3950 ?\r\n\r\nCurrently streaming datasets only works in single process, but we're working on having in work in distributed setups as well :) (EDIT: done)", "Hi, thanks for your reply. It seems related :)", "+1", "Please update `datasets` if you're having this issue. What version are you using ?" ]

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[ "Hi! This behavior stems from this line: https://github.com/huggingface/datasets/blob/799b817d97590ddc97cbd38d07469403e030de8c/src/datasets/arrow_dataset.py#L1919\r\nBasically, the `Image`/`Audio` columns are decoded only if the `format_type` attribute is `None` (`set_format`/`with_format` and `set_transform`/`with_transform` assign a non-`None` value to it) and the `input_columns` param is not specified (see https://github.com/huggingface/datasets/issues/3756). We will remove these limitations soon.\r\n\r\n\r\n\r\n" ]

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[ "There is an open PR to do that: #3364. I just haven't had time to finish it... ", "> There is an open PR to do that: #3364. I just haven't had time to finish it...\r\n\r\n😬 thanks..." ]

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[ "_The documentation is not available anymore as the PR was closed or merged._", "> This makes me think we shouldn't advise the use of load_dataset in dataset scripts, since it doesn't guarantee that the cache will work as expected (the cache directory is not set correctly, and the required disk space for downloaded files is not recorded)\r\n\r\n@lhoestq, do you think it could be a good idea to add a comment in this script WARNING that using load_dataset in a script is not good practice and that people should avoid using that script as a template to create other scripts? ", "good idea ! :)" ]

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[ "_The documentation is not available anymore as the PR was closed or merged._", "Looks good, thanks for working on this!" ]

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[ "_The documentation is not available anymore as the PR was closed or merged._" ]

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[ "Hi ! I didn't managed to reproduce the issue. When you kill the process, is there any stacktrace that shows at what point in the code python is hanging ?", "Hi @lhoestq , I've traced the issue back to file locking. It's similar to this thread, using Lustre filesystem as well. https://github.com/huggingface/datasets/issues/329 . In this case the user was able to modify and add -o flock option while mounting and it solved the problem. \r\nHowever in other cases such as mine, we do not have the permissions to modify the commands while mounting. I'm still trying to figure out a workaround. Any ideas how can we use a mounted Lustre filesystem with no flock option?\r\n", "Hi @kelvinAI , I've had this issue on our institution's system which uses Lustre (in addition to our compute nodes being siloed off from external network access). The workaround I made for downloading/loading datasets was to set the `$HFHOME` environment variable to a location on the node's local storage (SSD), effectively a location that gets cleared regularly and sometimes gets used for temporary or cached files which is pretty common, e.g. \"scratch\" storage. Maybe your sysadmins, if you have them, could point you to subdirectories on a node that aren't linked to the Lustre filesystem. After downloading to scratch I found that the transformers, modules, and metrics cached folders were fine to move to my user drives on the Lustre filesystem but cached datasets that had fingerprints still had some issues with filelock, so it would help to use the function `my_dataset.save_to_disk('path/on/lustre_fs')` and static class function `Dataset.load_from_disk('path/on/lustre_fs')`. In rough steps:\r\n\r\n1. Initially download to scratch storage with `ds = datasets.load_dataset(dataset_name)`\r\n2. Call `ds.save_to_disk(my_path_on_lustre)` with a path in your user space on the Lustre filesystem\r\n3. Load datasets with `from datasets import Dataset; new_ds = Dataset.load_from_disk(my_path_on_lustre)`\r\n\r\nObviously this hinges on there existing scratch storage on the nodes you're using. Fingers crossed.", "Hi @jpmcd , thanks for sharing your experience. For my case, the Lustre filesystem (with more storage space) is the scratch storage like the one you've mentioned. We have a local storage for each user but unfortunately there's not enough space in it to 'cache' huge datasets, hence that is why I tried changing HF_HOME to point to the scratch disk with more space and encountered the flock issue. Unfortunately I'm not aware of any viable solution to this for now so I simply fall back to using torch dataset. ", "@jpmcd your comment saved me from pulling my hair out in frustration. Setting `HF_HOME` to a directory that's not on Lustre works like a charm. ✨ " ]

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[ "Hi ! To be able to run the tests, you need to install all the test dependencies and additional ones with\r\n```\r\npip install -e .[tests]\r\npip install -r additional-tests-requirements.txt --no-deps\r\n```\r\n\r\nIn particular, you probably need to `sacrebleu`. It looks like it wasn't able to instantiate `sacrebleu.TER` properly." ]

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[ "Hi ! Thanks for reporting. We're using `py-filelock` as our locking mechanism.\r\n\r\nCan you try deleting the .lock file mentioned in the logs and try again ? Make sure that no other process is generating the `cnn_dailymail` dataset.\r\n\r\nIf it doesn't work, could you try to set up a lock using the latest version of `py-filelock` and see if it works ?\r\n\r\n```\r\npip install filelock\r\n```\r\nhere is a code example from the `py-filelock` documentation that you can try:\r\n```python\r\nfrom filelock import Timeout, FileLock\r\n\r\nlock = FileLock(\"high_ground.txt.lock\")\r\nwith lock:\r\n with open(\"high_ground.txt\", \"a\") as f:\r\n f.write(\"You were the chosen one.\")\r\n```" ]

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[ "_The documentation is not available anymore as the PR was closed or merged._", "I was thinking exactly the same: running unit tests that request continuously a third-party API is not a good idea." ]

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[ "_The documentation is not available anymore as the PR was closed or merged._" ]

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[ "_The documentation is not available anymore as the PR was closed or merged._", "Thanks for adding that tip! 👍 \r\n\r\nFor the docs syntax, it might be better if we hide the package name/full path to the class or function and only show the name of it. I think it's easier for users to read the function name (eg,`cast_column`) instead of the full path which can be a bit lengthy for some functions like `datasets.IterableDataset.remove_columns` (and if we like this idea, we can align the rest of the docs on it). ", "> For the docs syntax, it might be better if we hide the package name/full path to the class or function and only show the name of it. I think it's easier for users to read the function name (eg,cast_column) instead of the full path which can be a bit lengthy for some functions like datasets.IterableDataset.remove_columns (and if we like this idea, we can align the rest of the docs on it).\r\n\r\nThat's also OK, as long as we are consistent.\r\n\r\n@lhoestq @albertvillanova @polinaeterna Which one of these two styles do you prefer?", "Agree on hiding `datasets` name. Not sure about hiding class name as it's anyway not visible for users if they use `Dataset.cast_column` or `IterableDataset.cast_column` when working with their datasets. But I agree that the most important thing is to be consistent :)", "Good points! :)\r\n\r\nI think it'll be good to show the class name since some functions have different parameters. For example, if users click on `IterableDataset.map` and then `Dataset.map`, they'll see different parameters and have to figure out why (which isn't too difficult I guess lol). But showing the class name avoids any confusion upfront. " ]

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[ "_The documentation is not available anymore as the PR was closed or merged._", "Actually the CI fails because of this\r\n\r\n\r\nIt looks like we can't have a proper way to test google drive in the CI right now. Though it seems to work locally if you're not banned. I think I'll just disable those tests for now", "this fix will not be included?", "No we can't do anything except stop using google drive when possible" ]

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[ "the dataset viewer is working on this dataset. I imagine the issue is that we would expect to be able to listen to the audio files in the `Please Record Your Voice file` column, right?\r\n\r\nmaybe @lhoestq or @albertvillanova could help\r\n\r\n<img width=\"1019\" alt=\"Capture d’écran 2022-03-24 à 17 36 20\" src=\"https://user-images.githubusercontent.com/1676121/159966006-57dcf8f7-b65f-4200-ac8c-66859318a8bb.png\">\r\n", "The structure of the dataset is not supported. Only the CSV file is parsed and the audio files are ignored.\r\n\r\nWe're working on supporting audio datasets with a specific structure in #3963 ", "Got it." ]

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[ "Thanks for reporting @qqaatw.\r\n\r\nYes, we should definitely adapt that file for `datasets`. " ]

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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3976). All of your documentation changes will be reflected on that endpoint.", "Not sure why some section titles end with `[[datasets.xxx]]`, like this: https://moon-ci-docs.huggingface.co/docs/datasets/pr_3976/en/package_reference/main_classes#datasetdict[[datasets.datasetdict]]", "Thanks ! I think this has been fixed already in https://github.com/huggingface/datasets/pull/3925 though\r\n\r\nI'm closing this one then if it's fine for you" ]

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[ "_The documentation is not available anymore as the PR was closed or merged._", "Not sure how to generate dummy data.\r\n\r\nThe downloaded file structure is \r\n\r\n- document file paths\r\n - (a json file containing all documents info, document images folder)\r\n - (a json file containing all documents info, document images folder)\r\n - ...", "Hey @mariosasko, thanks for the review. I'm not sure how to suggest these changes to the owner @ranpox, and I did spend some time to write the model card and hope to get it on the official repo. Is that possible?", "Since the author is not responding, maybe we can go ahead with this PR ?", "Go for it!\n\nOn Tue, Apr 12, 2022 at 10:24 AM Quentin Lhoest ***@***.***>\nwrote:\n\n> Since the author is not responding, maybe we can go ahead with this PR ?\n>\n> —\n> Reply to this email directly, view it on GitHub\n> <https://github.com/huggingface/datasets/pull/3974#issuecomment-1096797650>,\n> or unsubscribe\n> <https://github.com/notifications/unsubscribe-auth/ATFNL66EVUFWS3P2FOAS7SLVEWBP3ANCNFSM5RFH3MXA>\n> .\n> You are receiving this because you are subscribed to this thread.Message\n> ID: ***@***.***>\n>\n", "@qqaatw Do you plan to finish this PR? I can give you some pointers and help you with the code if needed.", "@mariosasko Yes, I'll apply all of the suggestions when I have some time.", "Thanks for your contribution, @qqaatw.\r\n\r\nWe are removing the dataset scripts from this GitHub repo and moving them to the Hugging Face Hub: https://huggingface.co/datasets\r\n\r\nWe would suggest you propose this changes there to the original repo. Please, feel free to tell us if you need some help." ]

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[ "Hi ! You can download the `oscar.py` file from this repository at `/datasets/oscar/oscar.py`.\r\n\r\nThen you can load the dataset by passing the local path to `oscar.py` to `load_dataset`:\r\n```python\r\nload_dataset(\"path/to/oscar.py\", \"unshuffled_deduplicated_it\")\r\n```", "it works,but another error occurs.\r\n```\r\nConnectionError: Couldn't reach https://s3.amazonaws.com/datasets.huggingface.co/oscar/1.0/unshuffled/deduplicated/it/it_sha256.txt (SSLError(MaxRetryError(\"HTTPSConnectionPool(host='s3.amazonaws.com', port=443): Max retries exceeded with url: /datasets.huggingface.co/oscar/1.0/unshuffled/deduplicated/it/it_sha256.txt (Caused by SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1129)')))\")))\r\n```\r\nI can access `https://s3.amazonaws.com/datasets.huggingface.co/oscar/1.0/unshuffled/deduplicated/it/it_sha256.txt` and `https://aws.amazon.com/cn/s3/` directly, so why it reports a SSLError, should I need tomodify the host file？", "Could it be an issue with your python environment or your version of OpenSSL ?", "you are so wise!\r\nit report [ConnectionError] in python 3.9.7\r\nand works well in python 3.8.12\r\n\r\nI need you help again: how can I specify the path for download files?\r\nthe data is too large and my C hardware is not enough", "Cool ! And you can specify the path for download files with to the `cache_dir` parameter:\r\n```python\r\nfrom datasets import load_dataset\r\ndataset = load_dataset('oscar', 'unshuffled_deduplicated_it', cache_dir='path/to/directory')", "It takes me some days to download data completely, Despise sometimes it occurs again, change py version is feasible way to avoid this ConnectionEror.\r\nparameter `cache_dir` works well, thanks for your kindness again!" ]

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[ "@lhoestq can you review when you have some time? Also were the previous CI fails due to the Google Drive tests which were excluded by #3982 ?", "> were the previous CI fails due to the Google Drive tests which were excluded by https://github.com/huggingface/datasets/pull/3982 ?\r\n\r\nYes exactly, merging `master` into your branch fixed the CI ;)", "_The documentation is not available anymore as the PR was closed or merged._" ]

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[ "_The documentation is not available anymore as the PR was closed or merged._" ]

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[ "I guess the cache got corrupted due to a previous issue with Google Drive service.\r\n\r\nThe cache should be regenerated, e.g. by passing `download_mode=\"force_redownload\"`.\r\n\r\nCC: @severo ", "Note that the dataset preview uses its own cache, not `datasets`' cache. So `download_mode=\"force_redownload\"` doesn't help. But yes indeed the cache must be refreshed.\r\n\r\nThe CNN Dailymail dataste is currently hosted on Google Drive, which is an unreliable host and we've had many issues with it. Unless we found another most reliable host for the data, we will keep running into issues from time to time.\r\n\r\nAt Hugging Face we're not allowed to host the CNN Dailymail data by ourselves AFAIK", "Yes @lhoestq, I didn't explain myself well: my previous message was addressed to @severo. ", "I remove the tag dataset-viewer, since it's more an issue with the hosting on Google Drive", "Sounds good. I was looking for another host of this dataset but couldn't find any (yet)", "It seems like the issue is with the streaming mode, not with the hosting:\r\n\r\n```python\r\n>>> import datasets\r\n>>> dataset = datasets.load_dataset('cnn_dailymail', name=\"3.0.0\", split=\"train\", streaming=True, download_mode=\"force_redownload\")\r\nDownloading builder script: 9.35kB [00:00, 10.2MB/s]\r\nDownloading metadata: 9.50kB [00:00, 12.2MB/s]\r\n>>> len(list(dataset))\r\n0\r\n>>> dataset = datasets.load_dataset('cnn_dailymail', name=\"3.0.0\", split=\"train\", streaming=False)\r\nReusing dataset cnn_dailymail (/home/slesage/.cache/huggingface/datasets/cnn_dailymail/3.0.0/3.0.0/3cb851bf7cf5826e45d49db2863f627cba583cbc32342df7349dfe6c38060234)\r\n>>> len(dataset)\r\n287113\r\n```\r\n\r\nNote, in particular, that the streaming mode is failing silently, returning 0 row while I would have expected an exception instead. The result is that the dataset viewer shows `No data` instead of a detailed error.\r\n\r\n<img width=\"1511\" alt=\"Capture d’écran 2022-04-12 à 11 50 46\" src=\"https://user-images.githubusercontent.com/1676121/162935341-d50f1e73-d053-41d4-917f-e79708a0ca23.png\">\r\n", "Well this is because the host (Google Drive) returns a document that is not the actual data, but an error page", "Do you think that `datasets` should detect this anyway and throw an exception?", "Yes it definitely should ! I don't have the bandwidth to work on this right now though", "Indeed, streaming was not supported: tgz archives were not properly iterated.\r\n\r\nI've opened a PR to support streaming.\r\n\r\nHowever, keep in mind that Google Drive will keep generating issues from time to time, like 403,..." ]

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[ "Hi @cahya-wirawan, thanks for reporting.\r\n\r\nYour dataset is working OK in streaming mode:\r\n```python\r\nIn [1]: from datasets import load_dataset\r\n ...: ds = load_dataset(\"indonesian-nlp/eli5_id\", split=\"train\", streaming=True)\r\n ...: item = next(iter(ds))\r\n ...: item\r\nUsing custom data configuration indonesian-nlp--eli5_id-9fe728a7e760fb7b\r\n\r\nOut[1]: \r\n{'q_id': '1oy5tc',\r\n 'title': 'dalam sepak bola apa gunanya menyia-nyiakan dua permainan pertama dengan terburu-buru - di tengah - bukan permainan terburu-buru biasa saya mendapatkannya',\r\n 'selftext': '',\r\n 'document': '',\r\n 'subreddit': 'explainlikeimfive',\r\n 'answers': {'a_id': ['ccwtgnz', 'ccwtmho', 'ccwt946', 'ccwvj0u'],\r\n 'text': ['Jaga pertahanan tetap jujur, rasakan operan terburu-buru, buka permainan yang lewat. Pelanggaran yang terlalu satu dimensi akan gagal. Dan mereka yang bergegas ke tengah kadang-kadang dapat dibuka lebar-lebar untuk ukuran yard yang besar.',\r\n 'Jika Anda melempar bola sepanjang waktu, maka pertahanan akan beradaptasi untuk selalu menutupi umpan. Dengan melakukan permainan lari sederhana sesekali, Anda memaksa pertahanan untuk tetap dekat dan menjaga dari lari. Terkadang, pelanggaran dapat membuat pertahanan lengah dengan berpura-pura berlari dan membebaskan penerima mereka. Selain itu, Anda tidak perlu mendapatkan yard besar di setiap permainan. Terkadang, paling baik mendapatkan beberapa yard sekaligus. Selama Anda mendapatkan yang pertama, Anda dalam kondisi yang baik.',\r\n 'Dalam kebanyakan kasus, O-Line seharusnya membuat lubang untuk dilalui kembali. Jika Anda menjalankan terlalu banyak permainan ke luar / melempar, pertahanan akan mengejar. Juga, 2 permainan 5 yard memberi Anda satu set down baru.',\r\n 'Saya Anda tidak suka jenis drama itu, tonton CFL. Kami hanya mendapatkan 3 down sehingga Anda tidak bisa menyia-nyiakannya. Lebih banyak lagi yang lewat.'],\r\n 'score': [3, 2, 2, 2]},\r\n 'title_urls': {'url': []},\r\n 'selftext_urls': {'url': []},\r\n 'answers_urls': {'url': []}}\r\n```\r\nTherefore, it should be properly rendered in the previewer. Let me ping @severo to have a look at it.", "Thanks @albertvillanova for checking it. Btw, I have another dataset indonesian-nlp/lfqa_id which has the same issue. However, this dataset is still private, is it the reason why the preview doesn't work?", "Yes, preview is not supported on private datasets yet. We are working on that though...", "Thanks for the confirmation ", "Fixed. Thanks for your feedback." ]

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[ "_The documentation is not available anymore as the PR was closed or merged._", "Hey :) Have you had a chance to continue this PR ? Let me know if you have questions or if I can help", "Hey @lhoestq, let me wrap this up soon. I will resolve your comments in next push." ]

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[ "_The documentation is not available anymore as the PR was closed or merged._" ]

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[ "Hi @lewtun, thanks for reporting.\r\n\r\nIt seems that our library fails at inferring the dtype of the columns:\r\n- `milestone`\r\n- `performed_via_github_app` \r\n\r\n(and assigns them `null` dtype)." ]

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