Datasets:

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[ "good dataset card as well :) ", "@lhoestq Thank you :) " ]

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[ "Hi @Phil1108 !\r\nHave you had a chance to take a look at my suggestions ?\r\nFeel free to ping me if you have questions or if you're ready for a review\r\n\r\nThanks again for adding this dataset, this one is very useful !", "> \r\n> \r\n> Hi @Phil1108 !\r\n> Have you had a chance to take a look at my suggestions ?\r\n> Feel free to ping me if you have questions or if you're ready for a review\r\n> \r\n> Thanks again for adding this dataset, this one is very useful !\r\n\r\nHello @lhoestq , \r\n\r\nokay so should we go on with only the 2 parts or wait until the hosting of all 200 GB is cleared at HF? \r\nIf you want to merge it with the 2 parts only at first und upgrade later to all, sure I'll include the minor changes in the next few days and update it here", "I think we can wait a bit to find a solution for the hosting and update the PR to include all the files when it's done.\r\nIn the meantime you can update the PR to take into account the suggestions regarding the dataset card, the parallel downloads and the use of eval.\r\n\r\nA safer alternative to eval is `ast.literal_eval`, it should do the job" ]

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[ "Feel free to ping me once you're ready for another review :) ", "For sure! Gonna work on this now!", "I incorporated all the changes but when I go to rebase I get the following error:\r\n```python\r\naclifton@pop-os:~/hf_datasets_sprint/datasets$ git rebase upstream/master\r\nerror: cannot rebase: You have unstaged changes.\r\nerror: Please commit or stash them.\r\naclifton@pop-os:~/hf_datasets_sprint/datasets$ git stash\r\nSaved working directory and index state WIP on imppres: 51736236 Incorporated secondary sets as configurations instead of splits.\r\naclifton@pop-os:~/hf_datasets_sprint/datasets$ git rebase upstream/master\r\nCONFLICT (add/add): Merge conflict in datasets/wiki_movies/wiki_movies.py\r\nAuto-merging datasets/wiki_movies/wiki_movies.py\r\nCONFLICT (add/add): Merge conflict in datasets/wiki_movies/dataset_infos.json\r\nAuto-merging datasets/wiki_movies/dataset_infos.json\r\nCONFLICT (add/add): Merge conflict in datasets/wiki_movies/README.md\r\nAuto-merging datasets/wiki_movies/README.md\r\nerror: could not apply 04d08587... Created wiki_movies dataset.\r\nResolve all conflicts manually, mark them as resolved with\r\n\"git add/rm <conflicted_files>\", then run \"git rebase --continue\".\r\nYou can instead skip this commit: run \"git rebase --skip\".\r\nTo abort and get back to the state before \"git rebase\", run \"git rebase --abort\".\r\nCould not apply 04d08587... Created wiki_movies dataset.\r\naclifton@pop-os:~/hf_datasets_sprint/datasets$ git branch\r\n* (no branch, rebasing imppres)\r\n imppres\r\n logiqa_en\r\n master\r\n wiki_movies\r\n wiki_movies_htl\r\naclifton@pop-os:~/hf_datasets_sprint/datasets$ git checkout imppres \r\ndatasets/wiki_movies/README.md: needs merge\r\ndatasets/wiki_movies/dataset_infos.json: needs merge\r\ndatasets/wiki_movies/wiki_movies.py: needs merge\r\nerror: you need to resolve your current index first\r\naclifton@pop-os:~/hf_datasets_sprint/datasets$ \r\n```", "I think it's because the current branch includes changes about wiki_movies.\r\n\r\nCan you create a new branch from `master` and create another PR please ?", "I get this response when I try to switch to master:\r\n```\r\naclifton@pop-os:~/hf_datasets_sprint/datasets$ git checkout master\r\ndatasets/wiki_movies/README.md: needs merge\r\ndatasets/wiki_movies/dataset_infos.json: needs merge\r\ndatasets/wiki_movies/wiki_movies.py: needs merge\r\nerror: you need to resolve your current index first\r\n```", "Maybe you have to remove the changes in wiki_movies before checkout to master\r\n```\r\ngit stash\r\n```\r\n\r\nshould do the job", "Here is what I get:\r\n```\r\naclifton@pop-os:~/hf_datasets_sprint/datasets$ git stash\r\ndatasets/wiki_movies/README.md: needs merge\r\ndatasets/wiki_movies/dataset_infos.json: needs merge\r\ndatasets/wiki_movies/wiki_movies.py: needs merge\r\n```", "Ok I see\r\nLooks like you're in a `merge` process.\r\nYou can abort it with `git reset --merge`\r\n\r\nThen `git checkout master` should work", "So close! I got the new branch made and went through all the tests. When I went to push, I got the following:\r\n```\r\naclifton@pop-os:~/hf_datasets_sprint/datasets$ git push -u origin imppres\r\nUsername for 'https://github.com': aclifton314\r\nPassword for 'https://aclifton314@github.com': \r\nTo https://github.com/aclifton314/datasets\r\n ! [rejected] imppres -> imppres (non-fast-forward)\r\nerror: failed to push some refs to 'https://github.com/aclifton314/datasets'\r\nhint: Updates were rejected because the tip of your current branch is behind\r\nhint: its remote counterpart. Integrate the remote changes (e.g.\r\nhint: 'git pull ...') before pushing again.\r\nhint: See the 'Note about fast-forwards' in 'git push --help' for details.\r\n```", "after a rebase you need to `git push --force`", "Done!" ]

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[ "Please could you post the whole script? I can't reproduce your issue. After updating the feature names/labels to match with the data, everything works fine for me. Try to update datasets/transformers to the newest version.", "Actually, the problem was how `tokenize` function was defined. This was completely my side mistake, so there are really no needs in this issue anymore" ]

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[ "merging since the CI is fixed on master" ]

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[ "@lhoestq, can you please review this PR?\r\n", "@SBrandeis,\r\nSorry. All of the latest version came to my branch. You can find final version. \r\nResubmitted as a clean final version of #1466\r\nI have completed all the review comments.", "Closing this as PR is now https://github.com/huggingface/datasets/pull/1466" ]

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[ "merging since the CI is fixed on master" ]

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[ "@lhoestq done! The failing testes don't seem to be related, it seems to be a connection issue, if I understand it correctly.", "@lhoestq done!", "merging since the CI is fixed on master" ]

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[ "Hello @hugoabonizio, thanks for the contribution.\r\nRegarding the fake data, you can generate it manually.\r\nRunning the `python datasets-cli dummy_data datasets/offcombr` should give you instructions on how to manually create the dummy data.\r\nFor reference, here is a spec for `.arff` files : https://www.cs.waikato.ac.nz/ml/weka/arff.html", "@lhoestq again the failing tests doesn't seem to be related", "merging since the CI is fixed on master" ]

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[ "@yjernite I have updated the PR to be language modeling task specific. Please review!\r\n", "Yes a line corresponds to a sentence in this data." ]

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[ "I wrongly commited data from another branch in this PR, I'll close this a reopen another PR with the fixed branch" ]

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[ "also don't forget to format your code using `make style` to fix the CI" ]

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[ "Hi @lhoestq,\r\n\r\nSeeing that it has been almost two months to this draft, I'm willing to take this forward if you and @abhishekkrthakur don't mind. :)", "Hi @gchhablani !\r\nSure if @abhishekkrthakur doesn't mind\r\nThanks for your help :)", "Please feel free :) ", "Hi @lhoestq, @abhishekkrthakur \r\n\r\nI believe this can be closed. Merged in #1829." ]

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[ "@lhoestq done! (The failing tests don't seem to be related)", "merging since the CI is fixed on master" ]

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[ "We want to keep the repo as light as possible so that it doesn't take ages to clone, that's why we ask for small dummy data files (especially when there are many of them). Let me know if you have questions or if we can help you on this", "Hello @lhoestq , made the changes as you suggested and pushed, please review. By default, the dummy data was generated the way it was by the dummy data auto generate command. Thank you." ]

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[ "fixed @lhoestq " ]

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[ "Closing this pull request, will submit a new one for this dataset." ]

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[ "README.md is not created yet. I'll add it soon.", "Thank you for your detailed code review! It's so helpful.\r\nI'll reflect them to the code in 24 hours.\r\n\r\nYou may have told me in Slack (I cannot find the conversation log though I've looked through threads), but I'm sorry it seems I'm still misunderstanding how to get YAML from the tagger.\r\nI'm now asking on Slack if I am looking at the tagger the wrong way.", "One more thing I'd like to ask.\r\nShould I make changes by myself, or can I use the \"Commit suggestion\" feature?\r\nI'm new to this feature and I don't know how the rules work in this repository, so I'd like to ask just in case.", "Thank you very much for merging!" ]

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[ "Hi @saradhix have you had the chance to reduce the size of the dummy data ?\r\n\r\nFeel free to ping me when it's done so we can merge :) ", "@lhoestq I have reduced the size of the dummy data manually and pushed the changes.", "The CI errors are not related to your dataset.\r\nThey're fixed on master, you can ignore them", "merging since the CI is fixed on master" ]

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[ "@lhoestq all comments addressed :) ", "merging since the CI is fixed on master" ]

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[ "@lhoestq Refactored into new branch, please review :) ", "The `RemoteDatasetTest ` errors in the CI are fixed on master so it's fine", "merging since the CI is fixed on master" ]

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[ "Subsequent [PR #1426 ](https://github.com/huggingface/datasets/pull/1426) since this PR has uploaded other files along with the MultiReQA dataset.", "closing this one since a new PR has been created" ]

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[ "@lhoestq fixed :) " ]

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[ "@lhoestq fixed :) " ]

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[ "@lhoestq fixed :) " ]

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[ "`amazon_polarity` is probably a subset of `amazon_us_reviews` but I am not entirely sure about that.\r\nI guess `amazon_polarity` will help in reproducing results of papers using this dataset since even if it is a subset from `amazon_us_reviews`, it is not trivial how to extract `amazon_polarity` from `amazon_us_reviews`, especially since `amazon_us_reviews` was released after `amazon_polarity`. ", "do you know what the problem would be ? should I pull the master before ? @lhoestq ", "The error just appeared on master. I will try to fix it today.\r\nYou can ignore them since it's not related to the dataset you added", "merging since the CI is fixed on master", "Great thanks for the help. " ]

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[ "@lhoestq done! The failing testes don't seem to be related, it seems to be a connection issue, if I understand it correctly.", "merging since the CI is fixed on master" ]

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[ "@lhoestq yes. I asked the authors for direct link but unfortunately we need to fill a form (captcha)" ]

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[ "@lhoestq Thank you for the suggestions. I added the changes to the branch and seems after rebasing it to master, all the commits previous commits got added. Should I create a new PR or should I keep this one only ? ", "closing this one in favor of #1527 " ]

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[ "merging since the CI just had a connection error" ]

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[ "looks like this PR includes changes about other datasets\r\n\r\nCan you only include the changes related to twi text c3 please ?", "Hi @lhoestq , I have removed the unnecessary files. Can you please confirm?", "You might need to either find a way to go back to the commit before it changes 389 files or create a new branch.", "okay, I have created another branch, see the latest pull https://github.com/huggingface/datasets/pull/1518 @cstorm125 ", "Hii please follow me", "Closing this one in favor of #1518" ]

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[ "looks like this PR includes changes about other datasets\r\n", "Thanks for the review. I'm a bit confused how to remove the files. Every time I add a new branch name using the following commands:\r\n\r\ngit fetch upstream\r\ngit rebase upstream/master\r\ngit checkout -b a-descriptive-name-for-my-changes\r\n\r\nand push to the origin, this issue occurs", "Can you try to create the branch from the master branch of your fork ?\r\n\r\nfirst update your master branch:\r\n```\r\ngit checkout master\r\ngit fetch upstream\r\ngit rebase upstream/master\r\ngit push\r\n```\r\n\r\nthen create a new one:\r\n```\r\ngit checkout -b my-new-branch\r\n```", "I think you were still having the files because you were creating the new branch from a branch in which you've committed the files, instead of creating the new branch from the master branch", "Got it, will correct that. Thanks", "@lhoestq , I have removed the unnecessary files. Looks like I still have one error. How do I resolve this?", "> @lhoestq , I have removed the unnecessary files. Looks like I still have one error. How do I resolve this?\r\n\r\nI think it's connection error on piqa dataset. Can you try triggering the test again? I usually resolve similar issues with:\r\n```\r\ngit fetch upstream\r\ngit rebase upstream/master\r\ngit push -u -f origin your_branch_name\r\n```", "thank you @cstorm125 ", "I have created another pull request for this https://github.com/huggingface/datasets/pull/1515 @cstorm125 @lhoestq ", "Hii please follow me", "merging since the CI is fixed on master", "Great, thanks a lot" ]

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[ "@lhoestq done!", "merging since the CI is fixed on master" ]

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[ "Can you make it a draft PR until you've added the dataset please ? @ekdnam ", "Done" ]

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[ "merging since the CI is fixed on master" ]

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[ "merging since the CI is fixed on master" ]

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[ "@lhoestq done" ]

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[ "I have a question: why not using a tmp dir instead, like the DummyDataGeneratorDownloadManager does?", "Hi @lhoestq, I am trying to understand better the logic...\r\n\r\nWhy do we have a `dynamic_module_path` besides the modules cache path?\r\n```python\r\nDYNAMIC_MODULES_PATH = os.path.join(HF_MODULES_CACHE, \"datasets_modules\")\r\n```\r\nMoreover, 2 subdirectories (for datasets and for metrics) were created inside it:\r\n```python\r\nDATASETS_PATH = os.path.join(DYNAMIC_MODULES_PATH, \"datasets\")\r\nMETRICS_PATH = os.path.join(DYNAMIC_MODULES_PATH, \"metrics\")\r\n```", "Hi :) \r\nThe modules cache path is the path added to `sys.path`.\r\nTherefore inside we need to have a folder that is going to be a package: `datasets_modules`.\r\nThis package will contain dynamic modules, i.e. datasets and metrics modules added on-the-fly.\r\nThen we have two sub-modules `datasets_modules.datasets` and `datasets_modules.metrics`.\r\n\r\nMaybe we can make things more explicit in the code with some comments explaining the structure, and maybe better variable naming as well..\r\n\r\nAlso I wanted to say that I started to work on offline loading of modules in #1726 and actually it lead to do similar changes to what you did to control the path where modules are stored.", "Hi @lhoestq, I see...\r\n\r\nIndeed I was also creating a draft for test_load, to clarify the expected behavior... ;)\r\n\r\nSo, for the command line:\r\n```sh\r\npython datasets-cli test datasets/<my-dataset-folder> --save_infos --all_configs --cache_dir <my-cache-dir>\r\n```\r\nthe `cache_dir` argument refers to dataset cache dir. We do not have control over the modules cache dir, but we would like to have. And if I understand well, you suggest adding another argument `dynamic_module_path`. Am I right?", "> So, for the command line:\r\n> \r\n> ```shell\r\n> python datasets-cli test datasets/<my-dataset-folder> --save_infos --all_configs --cache_dir <my-cache-dir>\r\n> ```\r\n> \r\n> the `cache_dir` argument refers to dataset cache dir. We do not have control over the modules cache dir, but we would like to have. And if I understand well, you suggest adding another argument `dynamic_module_path`. Am I right?\r\n\r\nYes the cache_dir is used to download files and also so save the dataset arrow files.\r\nThis is indeed different from the path for dynamic modules.\r\n\r\nI suggested to have `dynamic_module_path` as a parameter but actually this is the parent directory `hf_modules_cache` that we would need (it's the one that is passed to `init_dynamic_modules ` that we need to add to `sys.path`).\r\n\r\nCurrently it's already possible to override it using the env variable `HF_MODULES_CACHE` but we can imagine having it as a parameter as well.\r\n\r\nThis way the user controls both the `cache_dir` and the `hf_modules_cache` which are the two places used by the library to read/write stuff.\r\n\r\n", "I think #1726 is going to be merged pretty soon. Maybe can work on this as soon as it's merged to avoid doing the same things twice and to avoid conflicts ?", "I agree. Indeed I took some of your code in one of my last commit, to try to implement the logic you described." ]

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[ "@lhoestq I think I've fixed the dummy data - it finally passes! I'll add the model card now.", "@lhoestq - pretty happy with it now", "> Awesome thank you !\r\n> \r\n> Could you try to reduce the size of the dummy_data.zip file before we merge ? (it's 300KB right now)\r\n> \r\n> To do so feel free to take a look inside it and remove all the unnecessary files and chunks of text, to only keep a few examples. The idea is to have a zip file that is only a few KB\r\n\r\nAh, it only contains 1 example for each split. I think the problem is that I include an entire story (like in the full dataset). We can probably get away with a summarised version.", "> Nice thank you, can you make it even lighter if possible ? Something round 10KB would be awesone\r\n> We try to keep the repo light so that it doesn't take ages to clone. So we have to make sure the dummy data are as small as possible for every single dataset.\r\n\r\nHave trimmed a little more out of each example now." ]

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[ "I think it's because the file you download uncompresses into a file and not a folder so `--autogenerate` couldn't create dummy data for you. See in your dummy_data.zip if there is a file there. If not, manually create your dummy data and compress them to dummy_data.zip.", "@cstorm125 Thank you for the comment! \r\nAs you point out, it seems my code has something wrong about downloading and uncompressing the file.\r\nHowever, my manually created dummy data seems to contain a file of the required format.\r\n\r\nOn Colaboratory,\r\n`!unzip /content/datasets/datasets/covid_tweets_japanese/dummy/1.1.0/dummy_data.zip`\r\nreturns:\r\n\r\n```\r\nArchive: /content/datasets/datasets/covid_tweets_japanese/dummy/1.1.0/dummy_data.zip\r\n creating: content/datasets/datasets/covid_tweets_japanese/dummy/1.1.0/dummy_data/\r\n extracting: content/datasets/datasets/covid_tweets_japanese/dummy/1.1.0/dummy_data/data.csv.bz2 \r\n```\r\n\r\nThe original data is `data.csv.bz2`, and I had a very hard time dealing with uncompressing bzip2.\r\nI think I could handle it, but there may be problems remain." ]

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[ "@lhoestq Have addressed your comments. Please review. Thanks." ]

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[ "the `RemoteDatasetTest ` error pf the CI is fixed on master so it's fine", "merging since the CI is fixed on master" ]

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[ "Hi ! Maybe we can rename it `narrativeqa_manual` to make it explicit that this one requires manual download contrary to `narrativeqa` ?\r\nIt's important to have this one as well, in case the `narrativeqa` one suffers from download issues (checksums or dead links for example).\r\n\r\nYou can also copy the dataset card from `narrativeqa` and add the dummy data as well", "Thanks @lhoestq will do all this and submit a request in the coming days. 😊 ", "Closing this as another pull request is already done. " ]

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[ "Thanks Quentin !" ]

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[ "@lhoestq I think this is ready for review, I assume the errors (connection) are unrelated to the PR :) ", "merging since the CI is fixed on master" ]

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[ "Sorry about forgetting flake8.\r\nRather than use up the circleci resources on a new push with only formatting changes, I will wait to push until the results from all tests finish and/or any feedback comes in... probably tomorrow for me.", "\r\nSo... my normal work is with mercurial and seem to have clearly forked this up using git... :(\r\n\r\nWhat I did is after calling:\r\n```\r\ngit fetch upstream\r\ngit rebase upstream/master\r\n```\r\n\r\nI then I attempt to pull in my most recent changes UI commit changes based on @lhoestq's feedback with:\r\n```\r\ngit pull\r\n``` \r\n... which I now suspect undid the above fetch and rebase. Will look into fixing later today when I have more time. Sorry!\r\n", "My dummy data seems quite large as a single row is composed of tokens/labels for an entire youtube video, with at least one row required for each file, which in this case 1 file per 13 youtube channels.\r\n\r\nTo make it smaller I passed `--n_lines 1` to reduce about 5x.\r\n\r\nI then manually reduced size of the particularly long youtube lectures to get the size to about 30KB. However, after recompressing into a zip, and running dummy data test I got the following error:\r\n`FAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_youtube_caption_corrections - OSError: Cannot find data file. `, despite file being there, which I haven't had a chance yet to debug.", "I wrote a small script to generate a smaller json file for the dummy_data, with the hope that I could resolve the pytest error noted above (in case related to a manual typo I could have introduce), however the test contains to fail locally... here's to hoping it can pass on remote!", "Sorry for delayed comments here. Last commit made two changes:\r\n- Increased the valency of the labels from just True/False to more categories to describe the various types of diffs encountered. This required some rewrite of the README\r\n- Reduced the number of remote files to be downloaded from 13 to 4, by combining all 13 of the channel-specific files together, and the splitting them up in a way to meet Github file size requirements. This also reduces size of the dummy-data.", "@lhoestq, thank you for the great feedback, especially given how busy you guys are now! \r\n\r\nI checked out GitHub release tags and looks cool. I have added the version tag to the url, instead of the commit sha as originally suggested, with the hope that it serves the same purpose of pinning the content to this url. Please let me know if I have misunderstood.\r\n\r\nIn regard to dynamically changing the number of files downloaded by first downloading a JSON listing the files, I love that idea. But I am a little confused, as I was thinking that any changes to the dataset itself would require a new PR with an updated `dataset_infos.json`, e.g. `num_examples` would increase. \r\n\r\nIf the purpose of this is not to permit dynamic (without a PR needed) growth of the number of files, but instead to provide stability to the consumers of the dataset, maybe I continued use the release tags, maintaining access to old releases could serve this purpose? I am still learning about these release tags... ", "For dynamic datasets, i.e. datasets that evolve over time, we support custom configurations: they are configurations that are not part of the BUILDER_CONFIGS or in the dataset_infos.json\r\n\r\nFor example for wikipedia, you can use the latest wiki dump by specifying `date=` inside `load_dataset()`. A configuration is created on the fly for this date and is used to build the dataset using the latest data.\r\n\r\nTherefore we don't need to have PRs to update the script for each wikipedia release.\r\n\r\nOne downside though is that we don't have metadata in advance such as the size of the dataset.\r\n\r\nI think this could be a nice addition for the youtube caption dataset in the future to be have a system of releases and be able to load the version we want easily. What do you think ?", "\r\n\r\n\r\n\r\n> For dynamic datasets, i.e. datasets that evolve over time, we support custom configurations: they are configurations that are not part of the BUILDER_CONFIGS or in the dataset_infos.json\r\n> \r\n \r\n> I think this could be a nice addition for the youtube caption dataset in the future to be have a system of releases and be able to load the version we want easily. What do you think ?\r\n\r\nThank you for the suggestion! This sounds great! I will take a look at the some datasets that do this, and would love to give it a try in the future, if I continue to grow the captions dataset in a meaningful way. \r\n\r\nAppreciate all the help on this. It has been a really great experience for me. :)", "Excited to merge! And sorry to be such a github n00b, but from what I've quickly read, I don't 'Close pull request', but rather the next steps are action taken on your end... Please let me know if there is some action to be taken at my end first. :/", "Alright merging this one then :) " ]

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[ "@lhoestq Thanks for the review and suggestions! I've added your comments and pushed the changes. I'm having issues with the dummy data still. When I run the dummy data test\r\n\r\n```bash\r\nRUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_so_stacksample\r\n```\r\nI get this error: \r\n\r\n```\r\n___________________________________________ LocalDatasetTest.test_load_dataset_all_configs_so_stacksample ____________________________________________\r\n\r\nself = <tests.test_dataset_common.LocalDatasetTest testMethod=test_load_dataset_all_configs_so_stacksample>, dataset_name = 'so_stacksample'\r\n\r\n @slow\r\n def test_load_dataset_all_configs(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True)\r\n\r\ntests/test_dataset_common.py:237: \r\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \r\ntests/test_dataset_common.py:198: in check_load_dataset\r\n self.parent.assertTrue(len(dataset[split]) > 0)\r\nE AssertionError: False is not true\r\n\r\nFAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_so_stacksample - AssertionError: False is not true\r\n```\r\n\r\nI tried formatting the data similar to other datasets, but I think I don't have my csv's in the zip folder with the proper name. I also ran the command that's supposed to outline the exact steps I need to perform to get them into the correct format, but I followed them and they don't seem to be working still :/. Any help would be greatly appreciated!\r\n", "Ok I found the issue with the dummy data.\r\nIt's currently failing because it's not generating a single example using the dummy csv file.\r\nThat's because there's only only line in the dummy csv file, and this line is skipped using the `next()` call used to ignore the headers of the csv.\r\n\r\nTo fix the dummy data you must add headers to the dummy csv files.", "Also can you make sure that all the original CSV files have headers ? i.e. check that their first line is just the column names", "> Ok I found the issue with the dummy data.\r\n> It's currently failing because it's not generating a single example using the dummy csv file.\r\n> That's because there's only only line in the dummy csv file, and this line is skipped using the `next()` call used to ignore the headers of the csv.\r\n> \r\n> To fix the dummy data you must add headers to the dummy csv files.\r\n\r\nOh man, I bamboozled myself! Thank you @lhoestq for catching that! I've updated the dummy csv's to include headers and also confirmed that they all have headers, so I am not throwing away any information with that `next()` call. When I run the test locally for the dummy data it passes, so hopefully it is good to go :D", "merging since the Ci is fixed on master" ]

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