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[ "_The documentation is not available anymore as the PR was closed or merged._", "Docs built successfully, so closing this." ]

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

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[ "@Woodywarhol9 good catch, thanks for reporting.\r\n\r\nWe are fixing this." ]

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[ "Hi @klyuhang9,\r\n\r\nI'm sorry but I can't reproduce your problem:\r\n```python\r\nIn [2]: metric = load_metric('glue', 'rte')\r\nDownloading builder script: 5.76kB [00:00, 2.40MB/s]\r\n```\r\n\r\nCould you please, retry to load the metric? Sometimes there are temporary connectivity issues.\r\n\r\nFeel free to re-open this issue of the problem persists." ]

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[ "Hi @klyuhang9,\r\n\r\nI'm sorry but I can't reproduce your problem:\r\n```python\r\nIn [4]: ds = load_dataset(\"glue\", \"sst2\", download_mode=\"force_redownload\")\r\nDownloading builder script: 28.8kB [00:00, 9.15MB/s] \r\nDownloading metadata: 28.7kB [00:00, 10.7MB/s] \r\nDownloading and preparing dataset glue/sst2 (download: 7.09 MiB, generated: 4.78 MiB, post-processed: Unknown size, total: 11.88 MiB) to .../.cache/huggingface/datasets/glue/sst2/1.0.0/dacbe3125aa31d7f70367a07a8a9e72a5a0bfeb5fc42e75c9db75b96da6053ad...\r\nDownloading data: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 7.44M/7.44M [00:01<00:00, 4.12MB/s]\r\nDataset glue downloaded and prepared to .../.cache/huggingface/datasets/glue/sst2/1.0.0/dacbe3125aa31d7f70367a07a8a9e72a5a0bfeb5fc42e75c9db75b96da6053ad. Subsequent calls will reuse this data. \r\n100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 1047.96it/s]\r\n\r\nIn [5]: ds\r\nOut[5]: \r\nDatasetDict({\r\n train: Dataset({\r\n features: ['sentence', 'label', 'idx'],\r\n num_rows: 67349\r\n })\r\n validation: Dataset({\r\n features: ['sentence', 'label', 'idx'],\r\n num_rows: 872\r\n })\r\n test: Dataset({\r\n features: ['sentence', 'label', 'idx'],\r\n num_rows: 1821\r\n })\r\n})\r\n```\r\n\r\nPlease, note that sometimes GitHub has some temporary connectivity issues. Feel free to retry and re-open this issue if the problem persists.", "Maybe it's because we are in China.", "Are you able to access the URL in your web browser?", "> Are you able to access the URL in your web browser?\r\n\r\nYes, with or without a VPN, we (people in China) can access the URL. And we can even use wget to download these files. We can download the pretrained language model automatically with the code.\r\nHowever, we CANNOT access glue.py & metric.py automatically. Every time, it will raise ConnectionError, and we have to download datasets manually (SQuAD is extremely hard to preprocess) and replace metric.py with scipy.metrics. If this problem is solved, many Chinese will save a lot of time.", "> ConnectionError: Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/2.0.0/datasets/glue/glue.py\r\n> \r\n> I don't know why; it is ok when I use\r\n\r\nIf you would query the question `ConnectionError: Couldn't reach` in www.baidu.com (Chinese Google, Google is banned and some people cannot access it), you will find that there are so many questions about accessing `https://raw.githubusercontent.com`. There are some solutions like adding `185.199.108.133 raw.githubusercontent.com` to `C:/windows/systen32/drives/etc/hosts`, but it is time-consuming, hard for green-hand, and invalid sometimes." ]

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[ "_The documentation is not available anymore as the PR was closed or merged._", "Thanks a lot for inputs. I'll use the URL suggested and check.\r\n\r\n> we need to implement the streamable (can't use os.path.join) and the non-streamable versions of _generate_examples.\r\n\r\nSure. I will check the reference and try this out, will get back to you if I face any issues.\r\n\r\n> The labels-only data file URL doesn't work for me, so feel free to ask the authors whether they are OK with us hosting the file on the Hub/S3 (to speed up the streamable version)\r\n\r\nJust checked. The author (Adam Harley) has responded positively and allowed us to host the file. Do I share the file with you for hosting it on Hub/S3 ?", "> Just checked. The author (Adam Harley) has responded positively and allowed us to host the file. Do I share the file with you for hosting it on Hub/S3 ?\r\n\r\nYes, feel free to e-mail me the file. Then I'll create a repo under my namespace and push the file there. We run a GH action on a GH dataset after merging to create its repo on the Hub, so after this PR is merged, I'll push the file to the \"official\" namespace and update the download link.", "> You can use this URL to avoid manual download: https://drive.google.com/uc?export=download&id=0Bz1dfcnrpXM-MUt4cHNzUEFXcmc\r\n\r\nFor some reason, the direct download doesn't seem to work for me even with this URL. \r\n```\r\nDownloading and preparing dataset rvl_cdip/default to ~/.cache/huggingface/datasets/rvl_cdip/default/1.0.0/ea152149e06310d60a9ef3c3020199dd4780bb952a773ba5aac6b57d59f12628...\r\nDownloading data files: 100%|█████████████████████████████████████████████████████| 1/1 [00:00<00:00, 6307.22it/s]\r\n{'rvl-cdip': '~/.cache/huggingface/datasets/downloads/07ef956a33750078d570d76fefe9fed49f7dc32ecf6e872d690de11e66bbe869'}\r\n```\r\nAnd this directory does not exist. Am I doing something wrong ?\r\nTo verify, I tried using [gdown](https://github.com/wkentaro/gdown) for the above URL, we get the following : \r\n```\r\nAccess denied with the following error:\r\n\r\n Cannot retrieve the public link of the file. You may need to change\r\n the permission to 'Anyone with the link', or have had many accesses. \r\n\r\nYou may still be able to access the file from the browser:\r\n```\r\n----\r\n\r\n> Yes, feel free to e-mail me the file. Then I'll create a repo under my namespace and push the file there. We run a GH action on a GH dataset after merging to create its repo on the Hub, so after this PR is merged, I'll push the file to the \"official\" namespace and update the download link.\r\n\r\nGot it. I've sent you an email with the file. Thank you.", "Actually this URL works for direct download :\r\n`https://drive.google.com/uc?export=download&confirm=pbef&id=0Bz1dfcnrpXM-MUt4cHNzUEFXcmc`\r\nRef : https://github.com/wkentaro/gdown/issues/146#issuecomment-1042382215\r\n\r\nI'm working on the streamable versions of _generate_examples as well, will update you regarding this.", "Google Drive is a tricky host, and it's easy to exceed daily download quota limits, so if we are allowed to host the `rvl-cdip.tar.gz` file, I can push it to the Hub.", "Just checked, the authors have agreed. He mentioned that he had complaints about the GDrive link.\r\nYou can push it to the Hub and share the link. :)", "I have added :\r\n- streaming support for rvl-cdip.tar.gz file. [ Need to test this ]\r\n\r\nIs it possible for you to upload the train.txt, test.txt, val.txt files separately to the Hub instead of labels_only.tar.gz file.\r\nCurrently during the tests in stream mode, we get : \r\n`NotImplementedError: Extraction protocol for TAR archives like 'https://huggingface.co/datasets/mariosasko/rvl_cdip/resolve/main/labels_only.tar.gz' is not implemented in streaming mode. Please use dl_manager.iter_archive instead.`\r\nIf the label files are present as .txt files then we can directly use dl_manager.download.\r\n\r\n\r\n", "The rvl-cdip.tar.gz archive and txt files with the labels are on the Hub!", "- Added 🤗 Hub download links.\r\n- streamable and non-streamable versions of _generate_examples.\r\n- Updated dummy data, both real and dummy dataset tests have passed.\r\n\r\n", "I've removed the extraction of the archive file locally as suggested. Let me know if any other changes are required. :)", "The check for **Update Hub repositories / update-hub-repositories** has failed.\r\n\r\n> https://github.com/huggingface/datasets/runs/6116502392?check_suite_focus=true\r\n\r\n", "Hi ! Thanks for reporting ;) yes this CI job has been failing for a few days. I'm working on fixing it, and I'm manually running it on my side in the meantime", "Great. :D Thank you @lhoestq " ]

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[ "_The documentation is not available anymore as the PR was closed or merged._", "if possible, give relevant names to your Pull requests @sashavor (make it easier to scan the repo activity) Thanks!", "updating them now! thanks for the feedback @julien-c " ]

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[ "Follow-up: I have confirmed there are no duplicate lines via `sort amazon_reviews_us_PC_v1_00.tsv | uniq -cd` after extracting the raw file.", "Hi @trentonstrong, thanks for reporting!\r\n\r\nI confirm that loading this dataset configuration throws a `NonMatchingSplitsSizesError`:\r\n```\r\nNonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train', num_bytes=350242049, num_examples=785730, dataset_name='amazon_us_reviews'), 'recorded': SplitInfo(name='train', num_bytes=3982712078, num_examples=6908554, dataset_name='amazon_us_reviews')}]\r\n```\r\n\r\nAlso thank you for your offer to fix this. You can find information about how to update the metadata JSON file here: https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md#automatically-add-code-metadata\r\n```shell\r\ndatasets-cli test datasets/amazon_us_reviews --save_infos --all_configs\r\n```\r\nPlease, feel free to open a PR with this fix. And do not hesitate to ping me if you need any help.", "No sweat. Will get it patched up ASAP." ]

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[ "Hi @orkenstein, thanks for reporting.\r\n\r\nPlease note that for this case, our `datasets` library uses under the hood the Apache Arrow `unique` function: https://arrow.apache.org/docs/python/generated/pyarrow.compute.unique.html#pyarrow.compute.unique\r\n\r\nAnd currently the Apache Arrow `unique` function is only implemented for these input types (see info in their [docs](https://arrow.apache.org/docs/cpp/compute.html#array-wise-vector-functions)): Boolean, Null, Numeric, Temporal, Binary- and String-like.\r\n\r\nHowever, the data types of the `wikiann` dataset are all `list<item: string>` (see its [dataset card](https://huggingface.co/datasets/wikiann#data-fields)), and thus, not yet supported by the Apache Arrow `unique` function.", "As a workaround solution you can use pandas:\r\n```python\r\nfrom datasets import load_dataset\r\n\r\ndataset = load_dataset('wikiann', 'en', split='train')\r\ndf = dataset.to_pandas()\r\nunique_df = df[~df.tokens.apply(tuple).duplicated()] # from https://stackoverflow.com/a/46958336/17517845\r\n```\r\n\r\nNote that pandas loads the dataset in memory (this one is small so it's fine).", "@lhoestq thank you! I will fall back to this method for now" ]

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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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[ "Hi! Thanks for the detailed analysis of adding IIIF support. I like the idea of \"using IIIF through datasets scripts\" due to its ease of use. Another approach that I like is yielding image ids and using the `piffle` library (which offers a bit more flexibility) + `map` to download + cache images. We can handle bad URLs in `map` by returning `None`. Plus, we can add a `Dataset Preprocessing` section with the code that explains this approach to the card of such datasets. WDYT?\r\n\r\n> currently, IIIF is mainly used by cultural heritage organizations (museums, archives etc.) The adoption of IIIF in this sector has been growing but it's possible that adoption won't be extended to other industries which may also be a source of image data for training ML models.\r\n\r\nThis is why (currently) adding a new feature type would be overkill, IMO.\r\n" ]

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[ "_The documentation is not available anymore as the PR was closed or merged._", "Fix in https://github.com/huggingface/doc-builder/pull/162 works as expected (docs build), closing this" ]

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[ "After some investigation, maybe the bug is in `doc-builder`.\r\n\r\nI've opened an issue there:\r\n- huggingface/doc-builder#160", "Fixed by @lewtun (thank you):\r\n- huggingface/doc-builder@31fe6c8bc7225810e281c2f6c6cd32f38828c504" ]

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[ "_The documentation is not available anymore as the PR was closed or merged._", "Superseded by huggingface/doc-builder@31fe6c8bc7225810e281c2f6c6cd32f38828c504" ]

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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 docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_4011). All of your documentation changes will be reflected on that endpoint." ]

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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 :)", "Hi, thanks for your reply. It seems related :)" ]

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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. " ]

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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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