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[ "#3323 " ]

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[ "Closes #3327 " ]

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[ "<s>To be more precise: `os.path.join` is replaced on-the-fly by `xjoin` anyway with patching, to extend it to remote files</s>", "Oh actually just ignore what I said: they were used to concatenate URLs, which is not recommended. Let me fix that again by appending using `+`" ]

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[ "Looks good to me! :)\r\n\r\nMaybe we can mention that users can also set the `private` argument if they want to keep their dataset private? It would lead nicely into the next section on Privacy.", "Thanks for your comments, I fixed the capitalization for consistency and added an passage to mention the `private` parameter and to have a nice transition to the Privacy section :)\r\n\r\nI also added the login instruction that was missing before the user can actually upload a dataset." ]

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[ "Hi,\r\n\r\n`Dataset.map` allows more generic transforms compared to `Dataset.filter`, which purpose is very specific (to filter examples based on a condition). That's why I don't think we need the `desc` parameter there for consistency. #3196 has added descriptions to the `Dataset` methods that call `.map` internally, but not for the `filter` method, so we should do that.\r\n\r\nDo you have a description in mind? Maybe `\"Filtering the dataset\"` or `\"Filtering the indices\"`? If yes, feel free to open a PR.", "I'm personally ok with adding the `desc` parameter actually. Let's say you have different filters, it can be nice to differentiate between the different filters when they're running no ?", "@mariosasko the use case is filtering of a dataset prior to tokenization and subsequent training. As the dataset is huge it's just a matter of giving a user (model trainer) some feedback on what's going on. Otherwise, feedback is given for all steps in training preparation and not for filtering and the filtering in my use case lasts about 4-5 minutes. And yes, if there are more filtering stages, as @lhoestq pointed out, it would be nice to give some feedback. I thought desc is there already and got confused when I got the script error. ", "I don't have a strong opinion on that, so having `desc` as a parameter is also OK." ]

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[ "IMO it makes more sense to have `ignore_url_params` as an attribute of `DownloadConfig` to avoid defining a new argument in `DownloadManger`'s methods.", "@mariosasko that would make sense to me too, but it seems like `DownloadConfig` wasn't intended to be modified from a dataset loading script. @lhoestq wdyt?", "We can expose `DownloadConfig` as a property of `DownloadManager`, and then in the script before the download call we could do: `dl_manager.download_config.ignore_url_params = True`. But yes, let's hear what Quentin thinks.", "Oh indeed that's a great idea. This parameter is similar to others like `download_config.use_etag` that defines the behavior of the download and caching, so it's better if we have it there, and expose the `download_config`", "Implemented it via `dl_manager.download_config.ignore_url_params` now, and also added a usage example above :) " ]

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[ "Some commits seem to be there twice (made the mistake of rebasing because I wasn't sure whether the doc had changed), is this an issue @lhoestq ?" ]

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[ "Hi ! You're completely right, this must be mentioned in the dataset card.\r\nIf you're interesting in contributing, feel free to open a pull request to mention this in the `trivia_qa` dataset card in the \"Licensing Information\" section at https://github.com/huggingface/datasets/blob/master/datasets/trivia_qa/README.md" ]

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[ "To fix the CI, feel free to run the `make style` command to format the code.\r\n\r\nThen it also looks like the dummy_data.zip archives are all empty, which makes the tests fail. Can you try regenerating them ? They should have one file inside which is a dummy version of the file at https://bl.iro.bl.uk/downloads/36c7cd20-c8a7-4495-acbe-469b9132c6b1?locale=en", "@lhoestq, thanks for that feedback. \r\n\r\nI should have made most of these changes now. The `--auto_generate` flag wasn't working because the file wasn't downloaded with a `.csv` extension. I used `--match_text_files \"*\"` to get around this. Because there is a lot of data that isn't annotated using the default line number for the dummy data causes the `annotated_raw` and the `title_genre_classifiction` configs to fail because they don't generate any examples — bumping the line numbers to `250` fixes this. This does make the dummy data a bit bigger, though. \r\n\r\nThe total directory size for the dataset is now `150kb`. Is this okay, or do you want me to generate the dummy data manually instead? ", "Hi ! yes 150kB is fine :)\r\nFeel free to push your new dummy_data.zip files (I think the current one are still the empty ones)", "@lhoestq I've pushed those dummy files now and added your other suggestions.", "The CI failure is unrelated to this PR, merging :)", "@lhoestq, thanks for all your help with this pull request 😀" ]

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[ "Hi ! Are you having this issue only with this specific dataset, or it also happens with other ones like `squad` ?", "@lhoestq It happens also on `squad`. It successfully downloads the whole dataset and then crashes on: \r\n\r\n```\r\nFatal error condition occurred in D:\\bld\\aws-c-io_1633633258269\\work\\source\\event_loop.c:74: aws_thread_launch(&cleanup_thread, s_event_loop_destroy_async_thread_fn, el_group, &thread_options) == AWS_OP_SUCCESS\r\nExiting Application\r\n```\r\n\r\nI tested it on Ubuntu and its working OK. Didn't test on non-preview version of Windows 11, `Windows-10-10.0.22504-SP0` is a preview version, not sure if this is causing it.", "I see the same error in Windows-10.0.19042 as of a few days ago:\r\n\r\n`Fatal error condition occurred in D:\\bld\\aws-c-io_1633633258269\\work\\source\\event_loop.c:74: aws_thread_launch(&cleanup_thread, s_event_loop_destroy_async_thread_fn, el_group, &thread_options) == AWS_OP_SUCCESS`\r\n\r\npython 3.8.12 h7840368_2_cpython conda-forge\r\nboto3 1.20.11 pyhd8ed1ab_0 conda-forge\r\nbotocore 1.23.11 pyhd8ed1ab_0 conda-forge\r\n\r\n...but I am not using `datasets` (although I might take a look now that I know about it!)\r\n\r\nThe error has occurred a few times over the last two days, but not consistently enough for me to get it with DEBUG. If there is any interest I can report back here, but it seems not unique to `datasets`.", "I'm not sure what `datasets` has to do with a crash that seems related to `aws-c-io`, could it be an issue with your environment ?", "> I'm not sure what `datasets` has to do with a crash that seems related to `aws-c-io`, could it be an issue with your environment ?\r\n\r\nAgreed, this issue is not likely a bug in datasets, since I get the identical error without datasets installed.", "Will close this issue. Bug in `aws-c-io` shouldn't be in `datasets` repo. Nevertheless, it can be useful to know that it happens. Thanks @leehaust @lhoestq ", "I have also had this issue since a few days, when running scripts using PyCharm in particular, but it does not seem to affect the script from running, only reporting this error at the end of the run.", "I also get this issue, It appears after my script has finished running. I get the following error message\r\n```\r\nFatal error condition occurred in /home/conda/feedstock_root/build_artifacts/aws-c-io_1637179816120/work/source/event_loop.c:72: aws_thread_launch(&cleanup_thread, s_event_loop_destroy_async_thread_fn, el_group, &thread_options) == AWS_OP_SUCCESS\r\nExiting Application\r\n################################################################################\r\nStack trace:\r\n################################################################################\r\n/home/user_name/conda_envs/env_name/lib/python3.7/site-packages/pyarrow/../../../././libaws-c-common.so.1(aws_backtrace_print+0x59) [0x2aabe0479579]\r\n/home/user_name/conda_envs/env_name/lib/python3.7/site-packages/pyarrow/../../../././libaws-c-common.so.1(aws_fatal_assert+0x48) [0x2aabe04696c8]\r\n/home/user_name/conda_envs/env_name/lib/python3.7/site-packages/pyarrow/../../.././././libaws-c-io.so.1.0.0(+0x13ad3) [0x2aabe0624ad3]\r\n/home/user_name/conda_envs/env_name/lib/python3.7/site-packages/pyarrow/../../../././libaws-c-common.so.1(aws_ref_count_release+0x1d) [0x2aabe047b60d]\r\n/home/user_name/conda_envs/env_name/lib/python3.7/site-packages/pyarrow/../../.././././libaws-c-io.so.1.0.0(+0x113ca) [0x2aabe06223ca]\r\n/home/user_name/conda_envs/env_name/lib/python3.7/site-packages/pyarrow/../../../././libaws-c-common.so.1(aws_ref_count_release+0x1d) [0x2aabe047b60d]\r\n/home/user_name/conda_envs/env_name/lib/python3.7/site-packages/pyarrow/../../../././libaws-crt-cpp.so(_ZN3Aws3Crt2Io15ClientBootstrapD1Ev+0x3a) [0x2aabe041cf5a]\r\n/home/user_name/conda_envs/env_name/lib/python3.7/site-packages/pyarrow/../../.././libaws-cpp-sdk-core.so(+0x5f570) [0x2aabe00eb570]\r\n/lib64/libc.so.6(+0x39ce9) [0x2aaaab835ce9]\r\n/lib64/libc.so.6(+0x39d37) [0x2aaaab835d37]\r\n/lib64/libc.so.6(__libc_start_main+0xfc) [0x2aaaab81e55c]\r\npython(+0x1c721d) [0x55555571b21d]\r\nAborted\r\n```\r\nI don't get this issue when running my code in a container, and it seems more relevant to PyArrow but thought a more complete stack trace might be helpful to someone\r\n", "I created an issue on JIRA:\r\nhttps://issues.apache.org/jira/browse/ARROW-15141", "@CallumMcMahon Do you have a small reproducer for this problem on Linux? I can reproduce this on Windows but sadly not with linux.", "Any updates on this issue? I started receiving the same error a few days ago on the amazon reviews" ]

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[ "I see it creates some errors in the tests.\r\n\r\nAnother solution if needed is to add something like `data_files = list(set(data_files))` after [this line](https://github.com/huggingface/datasets/blob/8555197a3fe826e98bd0206c2d031c4488c53c5c/src/datasets/data_files.py#L511)", "Hi ! Thanks for the correction :)\r\n\r\nYour change seems right, let me look at the errors and try to fix this", "Not sure if it's due to this change but I tested `load_dataset('dalle-mini/encoded-vqgan_imagenet_f16_16384', streaming=True)` and the `validation` set is empty.", "So indeed there was an issue with the patterns `*` and `**/*` that would return some files twice. This issue came from the fact that we were not using the right `glob`.\r\n\r\nIndeed we were using `Path.rglob` for local files and `Path.match` for remote files. Since these two methods don't have the same behavior for such patterns, I decided to change that.\r\n\r\nIn particular, we now use `glob.glob` (same as `fsspec` glob) as a reference for data files resolution from patterns. This is the same as dask for example.\r\n\r\n/!\\ Here are some behaviors specific to `glob.glob` that are different from Path.glob, Path.match or fnmatch:\r\n- '*' matches only first level files\r\n- '**/*' matches only at least second level files\r\n\r\nThis way we have a consistent behavior with respect to other python data libraries and there's no overlap anymore between the two patterns.\r\n\r\nSome implementations details:\r\n\r\nTo ensure that we have the same behavior for local files and for files in a remote dataset repository, I decided to use `fsspec` glob for both. This was made possible by implementing the `HfFileSystem` class as a `fsspec` filesystem.\r\n\r\nI pushed those changes directly to your PR - I hope you don't mind. I'm still fixing the remaining tests.\r\nPlease let me know if that solves your problem, and then we can merge !", "There's still an issue with fsspec's glob - I'll take a look this afternoon", "I just found out that actually glob.glob and fsspec glob are different haha\r\nglob.glob needs `**/*` and recursive=True to look into deep subdirectories, while fsspec only requires `**`\r\n\r\nI think we can go with fsspec glob for consistency with dask and since it's our main tool for filesystems management", "To recap:\r\n```\r\nWe use fsspec glob as a reference for data files resolution from patterns.\r\nThis is the same as dask for example.\r\n\r\n/!\\ Here are some behaviors specific to fsspec glob that are different from glob.glob, Path.glob, Path.match or fnmatch:\r\n- '*' matches only first level items\r\n- '**' matches all items\r\n- '**/*' matches all at least second level items\r\n\r\nMore generally:\r\n- `*`` matches any character except a forward-slash (to match just the file or directory name)\r\n- `**`` matches any character including a forward-slash /\r\n```", "lol Windows… Maybe `Pathlib` for the tests?\r\n\r\nI tested streaming a repo and it worked perfectly now!" ]

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[ "Hi ! Thanks for reporting :) \r\nWe can easily add the metadata for `chr_en` IMO, but for mC4 it will take more time, since it requires to count the number of examples in each language", "No problem. I am trying to do some analysis on the metadata of all available datasets. Is reading `metadata_infos.json` for each dataset the correct way to go? \r\n\r\nI noticed that the same information is also available as special variables inside .py file of each dataset. So, I was wondering if `metadata_infos.json` has been deprecated?\r\n\r\n\r\n", "The `dataset_infos.json` files have more information and are made to be used to analyze the datasets without having to run/parse the python scripts. Moreover some datasets on the Hugging face don't even have a python script, and for those ones we'll make tools to generate the JSON file automatically :)" ]

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[ "@lhoestq thanks for the review! I've modified the labels to follow other NLI datasets.\r\nPlease review my change and let me know if I miss anything." ]

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[ "knock knock", "Hi, thanks for reporting! I've linked a PR that should fix the issue.", "I've checked the PR and it looks great, thanks a lot!" ]

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[ "The issue is due to the older version of transformers and datasets. It has been resolved by upgrading their versions.\r\n\r\n```\r\n# upgrade transformers and datasets to latest versions\r\n!pip install --upgrade transformers\r\n!pip install --upgrade datasets\r\n```\r\n\r\nRegards!" ]

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[ "\r\n> \r\n> Input:\r\n> \r\n> ```\r\n> tokenizer = AutoTokenizer.from_pretrained(checkpoint)\r\n> data_collator = DataCollatorWithPadding(tokenizer=tokenizer, return_tensors=\"tf\")\r\n> ```\r\n> \r\n> Output:\r\n> \r\n> ```\r\n> TypeError Traceback (most recent call last)\r\n> /tmp/ipykernel_42/1563280798.py in <module>\r\n> 1 checkpoint = 'bert-base-uncased'\r\n> 2 tokenizer = AutoTokenizer.from_pretrained(checkpoint)\r\n> ----> 3 data_collator = DataCollatorWithPadding(tokenizer=tokenizer, return_tensors=\"pt\")\r\n> TypeError: __init__() got an unexpected keyword argument 'return_tensors'\r\n> ```\r\n> \r\n\r\nThe issue is due to the older version of transformers and datasets. It has been resolved by upgrading their versions.\r\n\r\n`# upgrade transformers and datasets to latest versions`\r\n`!pip install --upgrade transformers`\r\n`!pip install --upgrade datasets`\r\n\r\nCheers!" ]

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[ "Hi ! In the next version of `datasets`, your train and test splits will be correctly separated (changes from #3027) if you create a dataset repository with only your CSV files.\r\n\r\nAlso it seems that you overwrite the `data_files` and `data_dir` arguments in your code, when you instantiate the AGNewsConfig objects. Those parameters are not necessary since you already know which files you want to load.\r\n\r\nYou can find an example on how to specify which file the dataset has to download in this [example script](https://huggingface.co/datasets/lhoestq/custom_squad/blob/main/custom_squad.py#L101-L107):\r\n```python\r\n_URLS = {\r\n \"train\": \"train-v1.1.json\", # you can use a URL or a relative path from the python script to your file in the repository\r\n \"dev\": \"dev-v1.1.json\",\r\n}\r\n```\r\n```python\r\n def _split_generators(self, dl_manager):\r\n downloaded_files = dl_manager.download_and_extract(_URLS)\r\n\r\n return [\r\n datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={\"filepath\": downloaded_files[\"train\"]}),\r\n datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={\"filepath\": downloaded_files[\"dev\"]}),\r\n ]\r\n```", "Also I think the viewer will be updated when you fix the dataset script, let me know if it doesn't", "Hi @lhoestq,\r\n\r\nThanks a lot for the super quick answer!\r\n\r\nYour suggestion solves my issue. I am now able to load the dataset properly 🚀 \r\nHowever, the dataviewer is not working yet.\r\n\r\nReally, thanks a lot for your help and consideration!\r\n\r\nBest,\r\nPietro", "Great ! We'll take a look at the viewer to fix it", "@lhoestq I think I am having a related problem.\r\nMy call to load_dataset() looks like this:\r\n\r\n```\r\n datasets = load_dataset(\r\n os.path.abspath(layoutlmft.data.datasets.xfun.__file__),\r\n f\"xfun.{data_args.lang}\",\r\n additional_langs=data_args.additional_langs,\r\n keep_in_memory=True,\r\n )\r\n\r\n```\r\n\r\nMy _split_generation code is:\r\n\r\n```\r\n def _split_generators(self, dl_manager):\r\n \"\"\"Returns SplitGenerators.\"\"\"\r\n\r\n downloaded_file = dl_manager.download_and_extract(\"https://guillaumejaume.github.io/FUNSD/dataset.zip\")\r\n return [\r\n datasets.SplitGenerator(\r\n name=datasets.Split.TRAIN, gen_kwargs={\"filepath\": f\"{downloaded_file}/dataset/training_data/\"}\r\n ),\r\n datasets.SplitGenerator(\r\n name=datasets.Split.TEST, gen_kwargs={\"filepath\": f\"{downloaded_file}/dataset/testing_data/\"}\r\n ),\r\n ]\r\n\r\n```\r\nHowever I get the error \"TypeError: _generate_examples() got an unexpected keyword argument 'filepath'\"\r\nThe path looks right and I see the data in the path so I think the only problem I have is that it doesn't like the key \"filepath\". However, the documentation (example [here](https://huggingface.co/datasets/lhoestq/custom_squad/blob/main/custom_squad.py#L101-L107)) seems to show that this is the correct parameter. \r\n\r\nHere is the full stack trace:\r\n\r\n```\r\nDownloading and preparing dataset xfun/xfun.en (download: Unknown size, generated: Unknown size, post-processed: Unknown size, total: Unknown size) to /Users/caseygre/.cache/huggingface/datasets/xfun/xfun.en/0.0.0/96b8cb7c57f6f822f0ab37ae3be7b82d84ac57062e774c9361ccf0a4b9ef61cc...\r\nTraceback (most recent call last):\r\n File \"/Users/caseygre/PycharmProjects/aegis-ml-new/unilm/venv-LayoutLM/lib/python3.9/site-packages/datasets/builder.py\", line 574, in download_and_prepare\r\n self._download_and_prepare(\r\n File \"/Users/caseygre/PycharmProjects/aegis-ml-new/unilm/venv-LayoutLM/lib/python3.9/site-packages/datasets/builder.py\", line 652, in _download_and_prepare\r\n self._prepare_split(split_generator, **prepare_split_kwargs)\r\n File \"/Users/caseygre/PycharmProjects/aegis-ml-new/unilm/venv-LayoutLM/lib/python3.9/site-packages/datasets/builder.py\", line 975, in _prepare_split\r\n generator = self._generate_examples(**split_generator.gen_kwargs)\r\nTypeError: _generate_examples() got an unexpected keyword argument 'filepath'\r\npython-BaseException\r\n```", "Hi ! The `gen_kwargs` dictionary is passed to `_generate_examples`, so in your case it must be defined this way:\r\n```python\r\ndef _generate_examples(self, filepath):\r\n ...\r\n```\r\n\r\nAnd here is an additional tip: you can use `os.path.join(downloaded_file, \"dataset/testing_data\")` instead of `f\"downloaded_file}/dataset/testing_data/\"` to get compatibility with Windows and streaming.\r\n\r\nIndeed Windows uses a backslash separator, not a slash, and streaming uses chained URLs (like `zip://dataset/testing_data::https://https://guillaumejaume.github.io/FUNSD/dataset.zip` for example)", "Thanks for you quick reply @lhoestq and so sorry for my very delayed response.\r\nWe have gotten around the error another way but I will try to duplicate this when I can. We may have had \"filepaths\" instead of \"filepath\" in our def of _generate_examples() and not noticed the difference. If I find a more useful answer for others I will add to this ticket so they know what the issue was.\r\nNote: we do have our own _generate_examples() defined with the same def as Quentin has. (But one version does have \"filepaths\".)\r\n", "Fixed in the viewer: https://huggingface.co/datasets/pietrolesci/ag_news" ]

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[ "Hi @mariosasko!\r\n\r\nHas this been patched into any of the releases?", "Hi! Not yet, would you be interested in contributing a PR? I can give you some pointers if needed. " ]

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[ "Hi ! Thanks for reporting\r\nWe've already fixed the code that generates the preview for this dataset, we'll release the fix soon :)", "Hi @lhoestq, thanks for your feedback!", "Fixed in the viewer.\r\n\r\nhttps://huggingface.co/datasets/ag_news" ]

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[ "Hi ! Thanks for reporting. Indeed this is a current limitation of the usage we have of `dill` in `datasets`. I'd suggest you use your workaround for now until we find a way to fix this. Maybe functions that are not coming from a module not installed with pip should be dumped completely, rather than only taking their locations into account", "I agree. Sounds like a solution for it would be pretty dirty, even [cloudpickle](https://stackoverflow.com/a/16891169) doesn't help in this case.\r\nIn the meanwhile I think that adding a warning and the workaround somewhere in the documentation can be helpful." ]

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[ "Hi ! Thanks for the fix :) \r\n\r\nI think this should be `extract_path_from_uri` 's responsibility to strip the extra `/` from a badly formatted path like `hdfs:///absolute/path` (or raise an error). Do you think you can simply do the changes in `extract_path_from_uri` ? This way this fix will be available for all the other parts of the lib that need to extract the inner path from an URI of a remote filesystem\r\n\r\nThen we can also keep your test cases but simply apply them to `extract_path_from_uri` instead", "Hi @lhoestq! No problem! Thanks for your interest! :)\r\n\r\nI think stripping the 3rd `/` in `hdfs:///absolute/path` inside `extract_path_from_uri` is not the solution. When I provide `hdfs:///absolute/path` to `extract_path_from_uri` we want `/absolute/path` to be returned, as it does now (at least in the case of URIs with `hdfs` schemas, for `s3` is different as it should start with a bucket name).\r\n\r\nThe problem comes in line 1041 in the original code below:\r\n\r\nhttps://github.com/huggingface/datasets/blob/42f6b1d18a4a1b6009b6e62d115491be16dfca22/src/datasets/arrow_dataset.py#L1038-L1042\r\n\r\nLets assume the following parameters for line 1041 after `extract_path_from_uri` has removed the `hdfs` schema part and the `://` from `hdfs:///absolute/path`, and `get_temporary_cache_files_directory()` returns `/tmp/a1b2b3c4`, as it is shown below: \r\n\r\n```python\r\nsrc_dataset_path = '/absolute/path'\r\ntmp_dir = '/tmp/a1b2b3c4'\r\ndataset_path = Path(tmp_dir, src_dataset_path)\r\n```\r\n\r\nAfter passing those paths to the `Path` object, `dataset_path` contains only `/absolute/path`; that is, it has lost the temporary directory path. This is because, when two (or more) absolute paths are passed to the `Path` function, only the last one is taken. However, if the contents of those variables are:\r\n\r\n```python\r\nsrc_dataset_path = 'relative/path'\r\ntmp_dir = '/tmp/a1b2b3c4'\r\ndataset_path = Path(tmp_dir, src_dataset_path)\r\n```\r\n\r\nthen `dataset_path` contains `/tmp/a1b2b3c4/relative/path` as expected.\r\n\r\nAbsolute paths are allowed in hdfs URIs, so that's why I added the extra function `build_local_temp_path` in the PR; so in case the second argument is an absolute path, it still will create the correct absolute path by concatenating the temp dir and the path passed by converting it to a relative path (and it also works for windows paths too.) It also allows to add the tests, checking that the main combinations are ok.\r\n\r\nI've checked all the places where the result of `extract_path_from_uri` is used, and as far as I've seen this is the only place where it is concatenated with another possible absolute path, so no need to add `build_local_temp_path` anywhere else. \r\n" ]

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[ "Hi ! Good catch and thanks for opening a PR :)\r\n\r\nI just responded in your PR" ]

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[ "Hi ! Indeed it looks like the code snippet on the Hugging face Hub doesn't show the second parameter\r\n\r\n\r\n\r\nThanks for reporting, I'm taking a look\r\n" ]

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

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[ "The IEMOCAP dataset is private and available only on request.\r\n```\r\nTo obtain the IEMOCAP data you just need to fill out an electronic release form below.\r\n```\r\n\r\n- [Request form](https://sail.usc.edu/iemocap/release_form.php)\r\n- [License ](https://sail.usc.edu/iemocap/Data_Release_Form_IEMOCAP.pdf)\r\n\r\n\r\n> We do not share the dataset for commercial purposes due to privacy concerns surrounding the participants of the research. The login details will only be emailed to the given academic email address.\r\n\r\nI think it won't be possible to add this dataset to 🤗 datasets.", "Hi @dnaveenr ! We can contact the authors to see if they are interested in hosting the dataset on the Hub. In the meantime, feel free to work on a script with manual download.", "Hi @mariosasko . Thanks for your response. Sure, I will mail them and find out if they're open to this.\r\n\r\nWork on a script with manual download ? This is new to me, any guidelines would be helpful here.\r\n", "> Thanks for your response. Sure, I will mail them and find out if they're open to this.\r\n\r\nIt's best to leave this part to us because we have to explain how login would work and (potentially) set up a custom verification for the dataset.\r\n\r\n> Work on a script with manual download ? This is new to me, any guidelines would be helpful here.\r\n\r\nFor instance, this is one of the scripts with manual download: https://huggingface.co/datasets/arxiv_dataset. Compared to the standard dataset, it has the `manual_download_instructions` attribute and uses `dl_manager.manual_dir` (derived from `load_dataset(..., data_dir=\"path/to/data\")`) to access the dataset's data files.", "> It's best to leave this part to us because we have to explain how login would work and (potentially) set up a custom verification for the dataset.\r\n\r\nYes. That would be perfect. Thanks.\r\n\r\n----\r\nOkay. Thanks for giving a reference. This is helpful. I will go through it.\r\n\r\n" ]

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[ "Hi ! Thanks for reporting :)\r\nI think this is because the dataset is behind an access page. We can fix the dataset viewer\r\n\r\nIf you also have this error when you use the `datasets` library in python, you should probably pass `use_auth_token=True` to the `load_dataset()` function to use your account to access the dataset.", "Ah ok, I didn't realise about the login page. I'll try `use_auth_token=True` and see if that solves it.\r\n\r\nRegards!", "Hi, \r\n\r\nUsing `use_auth_token=True` and downloading the credentials with `huggingface-cli login` (stored in .huggingface/token) solved the issue.\r\n\r\nShould I leave the issue open until you fix the Dataset viewer issue?", "Cool ! Yes let's keep this issue open until the viewer is fixed - I'll close it when this is fixed. Thanks", "The error I get when trying to load OSCAR 21.09 is this\r\n```\r\nConnectionError: Couldn't reach https://huggingface.co/datasets/oscar-corpus/OSCAR-2109/resolve/main/OSCAR-2109.py\r\n```\r\n\r\nThe URL I get in the browser is this\r\n```\r\nhttps://huggingface.co/datasets/oscar-corpus/OSCAR-2109/blob/main/OSCAR-2109.py\r\n```\r\n\r\nMaybe URL is the issue? (resolve vs blob)", "> The error I get when trying to load OSCAR 21.09 is this\r\n> \r\n> ```\r\n> ConnectionError: Couldn't reach https://huggingface.co/datasets/oscar-corpus/OSCAR-2109/resolve/main/OSCAR-2109.py\r\n> ```\r\n> \r\n> The URL I get in the browser is this\r\n> \r\n> ```\r\n> https://huggingface.co/datasets/oscar-corpus/OSCAR-2109/blob/main/OSCAR-2109.py\r\n> ```\r\n> \r\n> Maybe URL is the issue? (resolve vs blob)\r\n\r\nYou need to download your login credentials. See `huggingface-cli login` documentation and when loading the dataset use `use_auth_token=True`:\r\n`\r\nload_dataset(corpus, language, split=None, use_auth_token=True, cache_dir=cache_folder)`", "Fixed.\r\n\r\n<img width=\"1542\" alt=\"Capture d’écran 2022-04-12 à 13 57 24\" src=\"https://user-images.githubusercontent.com/1676121/162957585-af96d19c-f86c-47fe-80c4-2b071083cee4.png\">\r\n" ]

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[ "I am trying to use `load_dataset` with the French dataset(common voice corpus 1) which is downloaded from a common voice site and the target language is English (using colab)\r\n\r\nSteps I have followed:\r\n\r\n**1. untar:**\r\n`!tar xvzf fr.tar -C data_dir`\r\n\r\n**2. load data:**\r\n`load_dataset('covost2', 'fr_en', data_dir=\"/content/data_dir\")`\r\n\r\n0 rows are loading as shown below:\r\n```\r\nUsing custom data configuration fr_en-data_dir=%2Fcontent%2Fdata_dir\r\nReusing dataset covost2 (/root/.cache/huggingface/datasets/covost2/fr_en-data_dir=%2Fcontent%2Fdata_dir/1.0.0/bba950aae1ffa5a14b876b7e09c17b44de2c3cf60e7bd5d459640beffc78e35b)\r\n100%\r\n3/3 [00:00<00:00, 54.98it/s]\r\nDatasetDict({\r\n train: Dataset({\r\n features: ['client_id', 'file', 'audio', 'sentence', 'translation', 'id'],\r\n num_rows: 0\r\n })\r\n validation: Dataset({\r\n features: ['client_id', 'file', 'audio', 'sentence', 'translation', 'id'],\r\n num_rows: 0\r\n })\r\n test: Dataset({\r\n features: ['client_id', 'file', 'audio', 'sentence', 'translation', 'id'],\r\n num_rows: 0\r\n })\r\n})\r\n```\r\n\r\nCan you please provide a sample working example code to load the dataset?", "Hi ! I think it only works with the subsets of Common Voice Corpus 4, not Common Voice Corpus 1" ]

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

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

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[ "Hello, is this issue open for any contributor ? can I work on it ?\r\n\r\n", "Hi ! Sure this is open for any contributor. If you're interested feel free to self-assign this issue to you by commenting `#self-assign`. Then if you have any question or if I can help, feel free to ping me.\r\n\r\nTo begin with, feel free to take a look at both implementations of `iter_archive` for local downloads and for data streaming:\r\n\r\nIn the `DownloadManager` for local dowloads:\r\nhttps://github.com/huggingface/datasets/blob/dfa334bd8dc6cbc854b170379c7d2cb7e3d3fe4f/src/datasets/utils/download_manager.py#L218-L242\r\n\r\nIn the `StreamingDownloadManager` to stream the content of the archive directly from the remote file:\r\nhttps://github.com/huggingface/datasets/blob/dfa334bd8dc6cbc854b170379c7d2cb7e3d3fe4f/src/datasets/utils/streaming_download_manager.py#L502-L526\r\n\r\nNotice the call to `xopen` that opens and streams a file given either an URL or a local path :)", "Okay thank you for the information. I will work on this :) ", "#self-assign" ]

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[ "Hi @ZhaofengWu, thanks for reporting.\r\n\r\nUnfortunately, I'm not able to reproduce your bug:\r\n```python\r\nIn [1]: from datasets import load_dataset\r\n\r\nIn [2]: ds = load_dataset(\"coqa\")\r\nDownloading: 3.82kB [00:00, 1.91MB/s]\r\nDownloading: 1.79kB [00:00, 1.79MB/s]\r\nUsing custom data configuration default\r\nDownloading and preparing dataset coqa/default (download: 55.40 MiB, generated: 18.35 MiB, post-processed: Unknown size, total: 73.75 MiB) to .cache\\coqa\\default\\1.0.0\\553ce70bfdcd15ff4b5f4abc4fc2f37137139cde1f58f4f60384a53a327716f0...\r\nDownloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 49.0M/49.0M [00:06<00:00, 7.17MB/s]\r\nDownloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 9.09M/9.09M [00:01<00:00, 6.08MB/s]\r\n100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:12<00:00, 6.48s/it]\r\n100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 333.26it/s]\r\nDataset coqa downloaded and prepared to .cache\\coqa\\default\\1.0.0\\553ce70bfdcd15ff4b5f4abc4fc2f37137139cde1f58f4f60384a53a327716f0. Subsequent calls will reuse this data.\r\n100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 285.49it/s]\r\n\r\nIn [3]: ds\r\nOut[3]:\r\nDatasetDict({\r\n train: Dataset({\r\n features: ['source', 'story', 'questions', 'answers'],\r\n num_rows: 7199\r\n })\r\n validation: Dataset({\r\n features: ['source', 'story', 'questions', 'answers'],\r\n num_rows: 500\r\n })\r\n})\r\n```\r\n\r\nCould you please give more details about your development environment? You can run the command `datasets-cli env` and copy-and-paste its output:\r\n```\r\n- `datasets` version:\r\n- Platform:\r\n- Python version:\r\n- PyArrow version:\r\n```\r\nIt might be because you are using an old version of `datasets`. Could you please update it (`pip install -U datasets`) and confirm if the problem parsists? ", "I'm getting the same error in two separate environments:\r\n```\r\n- `datasets` version: 1.15.1\r\n- Platform: Linux-5.4.0-84-generic-x86_64-with-debian-bullseye-sid\r\n- Python version: 3.7.11\r\n- PyArrow version: 6.0.0\r\n```\r\n\r\n```\r\n- `datasets` version: 1.15.1\r\n- Platform: macOS-10.16-x86_64-i386-64bit\r\n- Python version: 3.9.5\r\n- PyArrow version: 6.0.0\r\n```", "I'm sorry, but don't get to reproduce the error in the Linux environment.\r\n\r\n@mariosasko @lhoestq can you reproduce it?", "I also can't reproduce the error on Windows/Linux (tested both the master and the `1.15.1` version). ", "Maybe the file had issues during the download ? Could you try to delete your cache and try again ?\r\nBy default the downloads cache is at `~/.cache/huggingface/datasets/downloads`\r\n\r\nAlso can you check if you have a proxy that could prevent the download to succeed ? Are you able to download those files via your browser ?", "I got the same error in a third environment (google cloud) as well. The internet for these three environments are all different so I don't think that's the reason.\r\n```\r\n- `datasets` version: 1.12.1\r\n- Platform: Linux-5.11.0-1022-gcp-x86_64-with-glibc2.31\r\n- Python version: 3.9.7\r\n- PyArrow version: 6.0.0\r\n```\r\nI deleted the entire `~/.cache/huggingface/datasets` on my local mac, and got a different first time error.\r\n```\r\nPython 3.9.5 (default, May 18 2021, 12:31:01) \r\n[Clang 10.0.0 ] :: Anaconda, Inc. on darwin\r\nType \"help\", \"copyright\", \"credits\" or \"license\" for more information.\r\n>>> from datasets import load_dataset\r\n>>> dataset = load_dataset(\"coqa\")\r\nDownloading: 3.82kB [00:00, 1.19MB/s] \r\nDownloading: 1.79kB [00:00, 712kB/s] \r\nUsing custom data configuration default\r\nDownloading and preparing dataset coqa/default (download: 55.40 MiB, generated: 18.35 MiB, post-processed: Unknown size, total: 73.75 MiB) to /Users/zhaofengw/.cache/huggingface/datasets/coqa/default/1.0.0/553ce70bfdcd15ff4b5f4abc4fc2f37137139cde1f58f4f60384a53a327716f0...\r\nDownloading: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 222/222 [00:00<00:00, 1.36MB/s]\r\n 50%|████████████████████████████████████████████████████████████████████████████████████████████████████████████▌ | 1/2 [00:00<00:00, 2.47it/s]Traceback (most recent call last):\r\n File \"<stdin>\", line 1, in <module>\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/load.py\", line 1632, in load_dataset\r\n builder_instance.download_and_prepare(\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/builder.py\", line 607, in download_and_prepare\r\n self._download_and_prepare(\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/builder.py\", line 675, in _download_and_prepare\r\n split_generators = self._split_generators(dl_manager, **split_generators_kwargs)\r\n File \"/Users/zhaofengw/.cache/huggingface/modules/datasets_modules/datasets/coqa/553ce70bfdcd15ff4b5f4abc4fc2f37137139cde1f58f4f60384a53a327716f0/coqa.py\", line 70, in _split_generators\r\n downloaded_files = dl_manager.download_and_extract(urls_to_download)\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/utils/download_manager.py\", line 284, in download_and_extract\r\n return self.extract(self.download(url_or_urls))\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/utils/download_manager.py\", line 196, in download\r\n downloaded_path_or_paths = map_nested(\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/utils/py_utils.py\", line 216, in map_nested\r\n mapped = [\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/utils/py_utils.py\", line 217, in <listcomp>\r\n _single_map_nested((function, obj, types, None, True))\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/utils/py_utils.py\", line 152, in _single_map_nested\r\n return function(data_struct)\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/utils/download_manager.py\", line 217, in _download\r\n return cached_path(url_or_filename, download_config=download_config)\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/utils/file_utils.py\", line 295, in cached_path\r\n output_path = get_from_cache(\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/utils/file_utils.py\", line 594, in get_from_cache\r\n raise ConnectionError(\"Couldn't reach {}\".format(url))\r\nConnectionError: Couldn't reach https://nlp.stanford.edu/data/coqa/coqa-dev-v1.0.json\r\n>>> dataset = load_dataset(\"coqa\")\r\nUsing custom data configuration default\r\nDownloading and preparing dataset coqa/default (download: 55.40 MiB, generated: 18.35 MiB, post-processed: Unknown size, total: 73.75 MiB) to /Users/zhaofengw/.cache/huggingface/datasets/coqa/default/1.0.0/553ce70bfdcd15ff4b5f4abc4fc2f37137139cde1f58f4f60384a53a327716f0...\r\nDownloading: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 222/222 [00:00<00:00, 1.38MB/s]\r\n100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 6.26it/s]\r\n100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 1087.45it/s]\r\n 50%|████████████████████████████████████████████████████████████████████████████████████████████████████████████▌ | 1/2 [00:45<00:45, 45.60s/it]\r\nTraceback (most recent call last):\r\n File \"<stdin>\", line 1, in <module>\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/load.py\", line 1632, in load_dataset\r\n builder_instance.download_and_prepare(\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/builder.py\", line 607, in download_and_prepare\r\n self._download_and_prepare(\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/builder.py\", line 679, in _download_and_prepare\r\n verify_checksums(\r\n File \"/Users/zhaofengw/miniconda3/lib/python3.9/site-packages/datasets/utils/info_utils.py\", line 40, in verify_checksums\r\n raise NonMatchingChecksumError(error_msg + str(bad_urls))\r\ndatasets.utils.info_utils.NonMatchingChecksumError: Checksums didn't match for dataset source files:\r\n['https://nlp.stanford.edu/data/coqa/coqa-train-v1.0.json', 'https://nlp.stanford.edu/data/coqa/coqa-dev-v1.0.json']\r\n```\r\nI can access the URL using my browser, though I did notice a redirection -- could that have something to do with it?", "Hi @ZhaofengWu, \r\n\r\nWhat about in Google Colab? Can you run this notebook without errors? \r\nhttps://colab.research.google.com/drive/1CCpiiHmtNlfO_4CZ3-fW-TSShr1M0rL4?usp=sharing", "I can run your notebook fine, but if I create one myself, it has that error: https://colab.research.google.com/drive/107GIdhrauPO6ZiFDY7G9S74in4qqI2Kx?usp=sharing.\r\n\r\nIt's so funny -- it's like whenever you guys run it it's fine but whenever I run it it fails, whatever the environment is.", "I guess it must be some connection issue: the data owner may be blocking requests coming from your country or IP range...", "I mean, I don't think google colab sends the connection from my IP. Same applies to google cloud.", "Hello, I am having the same error with @ZhaofengWu first with \"social bias frames\" dataset. As I found this report, I tried also \"coqa\" and it fails as well. \r\n\r\nI test this on Google Colab. \r\n\r\n```\r\n- `datasets` version: 1.15.1\r\n- Platform: Linux-5.4.104+-x86_64-with-Ubuntu-18.04-bionic\r\n- Python version: 3.7.12\r\n- PyArrow version: 3.0.0\r\n```\r\n\r\nThen another environment\r\n\r\n```\r\n- `datasets` version: 1.15.1\r\n- Platform: macOS-12.0.1-arm64-arm-64bit\r\n- Python version: 3.9.7\r\n- PyArrow version: 6.0.1\r\n```\r\n\r\nI tried the notebook @albertvillanova provided earlier, and it fails...\r\n", "Hi, still not able to reproduce the issue with `coqa`. If you still have this issue, could you please run these additional commands ?\r\n```python\r\n>>> import os\r\n>>> from hashlib import md5\r\n>>> from datasets.utils import DownloadManager, DownloadConfig\r\n>>> path = DownloadManager(download_config=DownloadConfig(use_etag=False)).download(\"https://nlp.stanford.edu/data/coqa/coqa-dev-v1.0.json\") # it returns the cached file\r\n>>> os.path.getsize(path)\r\n9090845\r\n>>> m = md5()\r\n>>> m.update(open(path, \"rb\").read())\r\n>>> m.hexdigest()\r\n`95d427588e3733e4ebec55f6938dbba6`\r\n>>> open(path).read(500)\r\n'{\\n \"version\": \"1.0\",\\n \"data\": [\\n {\\n \"source\": \"mctest\",\\n \"id\": \"3dr23u6we5exclen4th8uq9rb42tel\",\\n \"filename\": \"mc160.test.41\",\\n \"story\": \"Once upon a time, in a barn near a farm house, there lived a little white kitten named Cotton. Cotton lived high up in a nice warm place above the barn where all of the farmer\\'s horses slept. But Cotton wasn\\'t alone in her little home above the barn, oh no. She shared her hay bed with her mommy and 5 other sisters. All of her sisters w'\r\n```\r\n\r\nThis way we can know whether you downloaded a corrupted file or an error file that could cause the `NonMatchingChecksumError` error to happen", "```\r\n>>> import os\r\n>>> from hashlib import md5\r\n>>> from datasets.utils import DownloadManager, DownloadConfig\r\n>>> path = DownloadManager(download_config=DownloadConfig(use_etag=False)).download(\"https://nlp.stanford.edu/data/coqa/coqa-dev-v1.0.json\") # it returns the cached file\r\n>>> os.path.getsize(path)\r\n222\r\n>>> m = md5()\r\n>>> m.update(open(path, \"rb\").read())\r\n>>> m.hexdigest()\r\n'1195812a37c01a4481a4748c85d0c6a9'\r\n>>> open(path).read(500)\r\n'<html>\\n<head><title>503 Service Temporarily Unavailable</title></head>\\n<body bgcolor=\"white\">\\n<center><h1>503 Service Temporarily Unavailable</h1></center>\\n<hr><center>nginx/1.10.3 (Ubuntu)</center>\\n</body>\\n</html>\\n'\r\n```\r\nLooks like there was a server-side error when downloading the dataset? But I don't believe this is a transient error given (a) deleting the cache and re-downloading gives the same error; (b) it happens on multiple platforms with different network configurations; (c) other people are getting this error too, see above. So I'm not sure why it works for some people but not others.", "`wget https://nlp.stanford.edu/data/coqa/coqa-dev-v1.0.json` does work. So I suspect there might be some problem in `datasets`' networking code? Can you give me some snippet that simulates how `datasets` requests the resource which I can run on my end?", "There is a redirection -- I don't know if that's the cause.", "Ok This is an issue with the server that hosts the data at `https://nlp.stanford.edu/nlp/data` that randomly returns 503 (by trying several times it also happens on my side), hopefully it can be fixed soon. I'll try to reach the people in charge of hosting the data", "Thanks. Also it might help to display a more informative error message?", "You're right. I just opened a PR that would show this error if it happens again:\r\n```python\r\nConnectionError: Couldn't reach https://nlp.stanford.edu/data/coqa/coqa-dev-v1.0.json (error 503)\r\n```" ]

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[ "Hi ! I think the issue comes from this [line](https://huggingface.co/datasets/liweili/c4_200m/blob/main/c4_200m.py#L87):\r\n```python\r\npath = filepath + \"/*.tsv*\"\r\n```\r\n\r\nYou can fix this by doing this instead:\r\n```python\r\npath = os.path.join(filepath, \"/*.tsv*\")\r\n```\r\n\r\nHere is why:\r\n\r\nLocally you can append `\"/*.tsv*\"` to your local path, however it doesn't work in streaming mode, and the dataset viewer does use the streaming mode.\r\nIn streaming mode, the download and extract part is done lazily. It means that instead of using local paths, it's still passing around URLs and [chained URLs](https://filesystem-spec.readthedocs.io/en/latest/features.html#url-chaining)\r\n\r\nTherefore in streaming mode, `filepath` is not a local path, but instead is equal to\r\n```python\r\nzip://::https://huggingface.co/datasets/liweili/c4_200m/resolve/main/data.zip\r\n```\r\nThe `zip://` part means that we navigate inside the remote ZIP file.\r\n\r\nYou must use `os.path.join` to navigate inside it and get your TSV files:\r\n```python\r\n>>> os.path.join(filepath, \"/*.tsv*\")\r\nzip://*.tsv*::https://huggingface.co/datasets/liweili/c4_200m/resolve/main/data.zip\r\n```\r\n\r\n`datasets` extends `os.path.join`, `glob.glob`, etc. in your dataset scripts to work with remote files.", "hi @lhoestq ! thanks for the tip! i've updated the line of code but it's still not working. am i doing something else wrong? thank you!", "Hi ! Your dataset code is all good now :)\r\n```python\r\nIn [1]: from datasets import load_dataset\r\n\r\nIn [2]: d = load_dataset(\"liweili/c4_200m\", streaming=True)\r\nDownloading: 100%|█████████████████████████████████████████████| 2.79k/2.79k [00:00<00:00, 4.83MB/s]\r\nUsing custom data configuration default\r\n\r\nIn [3]: next(iter(d[\"train\"]))\r\nOut[3]: \r\n{'input': 'Bitcoin is for $7,094 this morning, which CoinDesk says.',\r\n 'output': 'Bitcoin goes for $7,094 this morning, according to CoinDesk.'}\r\n```\r\nThough the viewer doesn't seem to be updated, I'll take a look at what's wrong", "thank you @lhoestq! 😄 ", "It's working\r\n\r\n<img width=\"1424\" alt=\"Capture d’écran 2021-12-21 à 11 24 29\" src=\"https://user-images.githubusercontent.com/1676121/146914238-24bf87c0-c68d-4699-8d6c-fa3065656d1d.png\">\r\n\r\n" ]

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

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[ "There seems to be problems with datasets metadata, of which I dont have access to. I think one of the datasets is from reddit. Can anyone help?", "Hello @LashaO , I think the errors were caused by `_DATA_FILES` in `definite_pronoun_resolution.py`. Here are details of the test error.\r\n```\r\nself = BuilderConfig(name='plain_text', version=1.0.0, data_dir=None, data_files={'train': 'train.c.txt', 'test': 'test.c.txt'}, description='Plain text import of the Definite Pronoun Resolution Dataset.')\r\n\r\n def __post_init__(self):\r\n # The config name is used to name the cache directory.\r\n invalid_windows_characters = r\"<>:/\\|?*\"\r\n for invalid_char in invalid_windows_characters:\r\n if invalid_char in self.name:\r\n raise InvalidConfigName(\r\n f\"Bad characters from black list '{invalid_windows_characters}' found in '{self.name}'. \"\r\n f\"They could create issues when creating a directory for this config on Windows filesystem.\"\r\n )\r\n if self.data_files is not None and not isinstance(self.data_files, DataFilesDict):\r\n> raise ValueError(f\"Expected a DataFilesDict in data_files but got {self.data_files}\")\r\nE ValueError: Expected a DataFilesDict in data_files but got {'train': 'train.c.txt', 'test': 'test.c.txt'}\r\n```", "Hi ! Thanks for the fixes :)\r\n\r\nInstead of uploading the `definite_pronoun_resolution` data files in this PR, maybe we can just update the URL ?\r\nThe old url was http://www.hlt.utdallas.edu/~vince/data/emnlp12/train.c.txt, but now it's https://www.hlt.utdallas.edu/~vince/data/emnlp12/train.c.txt (https instead of http)", "Actually the bad certificate creates an issue with the download\r\n```python\r\nimport datasets \r\ndatasets.DownloadManager().download(\"https://www.hlt.utdallas.edu/~vince/data/emnlp12/train.c.txt\")\r\n# raises: ConnectionError: Couldn't reach https://www.hlt.utdallas.edu/~vince/data/emnlp12/train.c.txt\r\n```\r\n\r\nLet me see if I can fix that", "I uploaded them to these URLs, feel free to use them instead of having the text files here in the PR :)\r\nhttps://s3.amazonaws.com/datasets.huggingface.co/definite_pronoun_resolution/train.c.txt\r\nhttps://s3.amazonaws.com/datasets.huggingface.co/definite_pronoun_resolution/test.c.txt", "Thank you for the tips! Having a busy week so anyone willing to commit the suggestions is welcome. Else, I will try to get back to this in a while.", "@LashaO Thanks for working on this. Yes, I'll take over as we already have a request to fix the URL of the Jeopardy! dataset in a separate issue.", "~~Still have to fix the error in the dummy data test of the WikiAuto dataset (so please don't merge).~~ Done! Ready for merging.", "Thank you, Mario!", "The CI failure is only related to missing tags in the dataset cards, merging :)" ]

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

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

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[ "Hi ! I think this is because `iter_archive` doesn't support ZIP files yet. See https://github.com/huggingface/datasets/issues/3272\r\n\r\nYou can navigate into the archive this way instead:\r\n```python\r\n# in split_generators\r\ndata_dir = dl_manager.download_and_extract(url)\r\ntrain_filepath = os.path.join(data_dir, \"all-sci-fi-data-train.txt\")\r\nreturn [\r\n datasets.SplitGenerator(\r\n name=datasets.Split.TRAIN,\r\n gen_kwargs={\r\n \"filepath\": train_filepath,\r\n },\r\n ),\r\n...\r\n])\r\n\r\n# in generate_examples\r\nwith open(filepath, encoding=\"utf-8\") as f:\r\n ...\r\n```", "It's working: https://huggingface.co/datasets/lara-martin/Scifi_TV_Shows/viewer/Scifi_TV_Shows/test\r\n\r\n<img width=\"1494\" alt=\"Capture d’écran 2021-12-21 à 11 23 51\" src=\"https://user-images.githubusercontent.com/1676121/146914068-f4b7225f-42c5-471d-9c73-2adac722162f.png\">\r\n" ]

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

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[ "Thank you for the cleanup!" ]

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