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[ "That's a great dataset to have! We need a couple more things to be good to go:\r\n- you should `make style` and `flake8 datasets` before pushing to make the code quality check happy :) \r\n- the dataset will need some dummy data which you should be able to auto-generate and test locally: https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md#automatically-add-code-metadata\r\n- there's some good information in your current README, but we need the format to follow the template [here](https://github.com/huggingface/datasets/blob/master/templates/README.md) and to have YAML tags at the top, as described in the guide: https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md#tag-the-dataset-and-write-the-dataset-card\r\n\r\nLEt us know if you need any help!", "Hi @yjernite \r\nI was successfully able to generate the dataset_info.json file using the command \r\npython datasets-cli test datasets/<your-dataset-folder> --save_infos --all_configs\r\n\r\nBut unfortunately, could not generate the dummy data\r\n\r\nWhile running the command \r\npython datasets-cli dummy_data datasets/<your-dataset-folder> --auto_generate\r\nI got an error as \r\n\r\nValueError: Couldn't parse columns ['0', '1', '2', '3', '4', ......, '9982']. Maybe specify which json field must be used to read the data with --json_field <my_field>.\r\n\r\nThe thing is the dataset I am trying to upload is of the format \r\n{\r\n '0': {'Story_no': 15, 'Sentence': ' गाँठ से साढ़े तीन रुपये लग गये, जो अब पेट में जाकर खनकते भी नहीं! जो तेरी करनी मालिक! ” “इसमें मालिक की क्या करनी है? ”', 'Discourse Mode': 'Dialogue'},\r\n '1': {'Story_no': story_no, 'Sentence': sentence, 'Discourse Mode': discourse_mode},\r\n .......,\r\n '9982': {'Story_no': story_no, 'Sentence': sentence, 'Discourse Mode': discourse_mode}\r\n}\r\n\r\nCan you please suggest any errors I am making in the _generate_examples method?\r\n\r\nThanks!", "The dummy data generator doesn't support this kind of json format yet.\r\nCan you create the dummy data manually please ? You can get the instructions by running the \r\n```\r\ndatasets-cli dummy_data ./datasets/dataset_name\r\n```\r\ncommand.", "Hi, I created the dummy data manually but the tests are still failing it seems.\r\nCan you suggest the format of JSON which is supported by dummy data generator?\r\nI will have to modify my _generate_examples method accordingly.\r\nPlease advice on the same.\r\nThanks much.\r\n", "Can you run `make style` to format the code for the CI please ?\r\n\r\nAlso about the dummy data, here is how to generate them:\r\n\r\nWe need a dummy_data.zip file in ./datasets/hindiDiscourse/dummy/1.0.0 (or replace hindiDiscourse by hindi_discourse since we have to rename the folder anyway)\r\nTo create the zip file, first go in this directory and create a folder named dummy_data.\r\nThen inside the dummy_data folder create a file `discourse_dataset.json` and fill it with something like 5 examples.\r\nFinally zip the dummy_data folder to end up with the dummy_data.zip file\r\n\r\nOnce it's done you can check if the dummy data test passes with \r\n```\r\nRUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_hindi_discourse\r\n```\r\n\r\nIf it passes you can then remove the dummy_data folder to keep only the dummy_data.zip file", "Hi @duttahritwik did you manage to make the dummy data ?\r\nFeel free to ping me if you have questions or if we can help", "The error `tests/test_file_utils.py::TempSeedTest::test_tensorflow` just appeared because of tensorflow's update.\r\nOnce it's fixed on master we'll be free to merge this one", "Ci is green on master :) ", "merging since the CI is fixed on master" ]

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[ "thanks @lhoestq ! I probably need to do the same change in the `SplitGenerator`s (lines 107, 110 and 113). I'll open a new PR for that", "Yes indeed ! Good catch 👍 \r\nFeel free to open a PR and ping me", "Hi , theres a issue pulling species_800 dataset , throws google drive error \r\n\r\nerror: \r\n\r\n```\r\nraise ConnectionError(f\"Couldn't reach {url} ({repr(head_error)})\")\r\nConnectionError: Couldn't reach https://drive.google.com/u/0/uc?id=1OletxmPYNkz2ltOr9pyT0b0iBtUWxslh&export=download/ (ReadTimeout(ReadTimeoutError(\"HTTPSConnectionPool(host='drive.google.com', port=443): Read timed out. (read timeout=10)\")))\r\n```\r\ncode: \r\n```\r\nfrom datasets import load_dataset\r\n\r\ndataset = load_dataset(\"species_800\")\r\n```", "Hi @obonyojimmy! I am running the same commands and they work for me. Did you check your internet connection?" ]

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[ "Hi @j-chim ! You're right it does feel redundant: your option works better, but I'd even suggest having the references in a Sequence feature, which you can declare as:\r\n```\r\n\t features=datasets.Features(\r\n {\r\n \"sentence\": datasets.Value(\"string\"),\r\n \"corrections\": datasets.Sequence(datasets.Value(\"string\")),\r\n }\r\n ),\r\n```\r\n\r\nTo create the dummy data, you just need to tell the generator which files it should use, which you can do with:\r\n`python datasets-cli dummy_data datasets/<your-dataset-folder> --auto_generate --match_text_files \"train*,dev*,test*\"`\r\n", "Many thanks for this @yjernite! I've incorporated your feedback and sorted out the dummy data." ]

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[ "The `RemoteDatasetTest` is fixed on master so it's fine", "thanks for rebasing :)\r\n\r\nCI is green now, merging" ]

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[ "@lhoestq have made the suggested changes in the README file.", "@lhoestq Created a new PR #1231 with only the relevant files.\r\nclosing this one :)" ]

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[ "Cool dataset! Replying in-line:\r\n\r\n> This PR adds the **ReFreSD dataset**.\r\n> The original data is hosted [on this github repo](https://github.com/Elbria/xling-SemDiv) and we use the `REFreSD_rationale` to expose all the data.\r\n> \r\n> Need feedback on:\r\n> \r\n> * I couldn't generate the dummy data. The file we download is a tsv file, but without extension, I suppose this is the problem. I'm sure there is a simple trick to make this work.\r\n\r\nyou can use `--match_text_files` in the dummy data generation:\r\n`python datasets-cli dummy_data datasets/refresd --auto_generate --match_text_files \"REFreSD_rationale\"`\r\n\r\n> * The feature names.\r\n> \r\n> * I don't know if it's better to stick to the classic `sentence1`, `sentence2` or to `sentence_en`, `sentence_fr` to be more explicit.\r\n\r\nIt would actually be even better to use the `Translation` feature here to replace best:\r\n`\"sentence_pair\": datasets.Translation(languages=['en', 'fr']),`\r\n\r\nThen during `_generate_examples` this filed should look like\"\r\n`{\"sentence_pair\": {\"fr\": french, \"en\": english}}`\r\n\r\n> * There is a binary label (called `label`, no problem here), and a 3-class label called `#3_labels` in the original tsv. I changed it to `all_labels` but I'm sure there is better.\r\nLooks good!\r\n\r\n> * The rationales are lists of integers, extracted as a string at first. I wonder what's the best way to treat them, any idea? Also, I couldn't manage to make a `Sequence` of `int8` but I'm sure I've missed something simple.\r\n\r\nHaving the feature declared as `\"rationale_en\": datasets.Sequence(datasets.Value(\"int32\"))` should work\r\n\r\n> \r\n> Thanks in advance\r\n\r\nHope that helps you out! Don't forget to `make style`, rebase from master, and run all the tests before pushing again! You will also need to add a `README.md` as described in the guide:\r\nhttps://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md#tag-the-dataset-and-write-the-dataset-card", "Thanks a lot for the answer, that does help a lot !\r\nI opened a PR for a License in the original repo so I was waiting for that for the model card. If there is no news on Monday, I'll add it without License. ", "Looks good! It looks like it might need a rebase to pass the tests. Once you do that, should be good to go!" ]

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[ "re-created in #1218 because this was too messy" ]

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

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[ "Hi @ggdupont !\r\nHave you had a chance to take a look at my suggestions ?\r\nFeel free to ping me if you have questions or when you're ready for a review", "> Hi @ggdupont !\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 when you're ready for a review\r\n\r\nYes I did, just busy period (and no time on weekend right now ;-) )", "With some delay, reduced the dummy data and had t rebase", "Thanks !\r\n\r\nIt looks like the rebase messed up the github diff for this PR (2.000+ files changed)\r\nCould you create another branch and another PR please ?", "Cleaned PR: https://github.com/huggingface/datasets/pull/1850" ]

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[ "This is ok now @lhoestq\r\n\r\nI've included the tweak to `dummy_data` to only use the data transmitted to `_generate_examples` by default (it only do that if it can find at least one path to an existing file in the `gen_kwargs` and this can be unactivated with a flag).\r\n\r\nShould I extract it in another PR or is it ok like this?", "Nice !\r\nCould you add the dummy data generation trick in another PR ?\r\nI think we can also extend it to make it work not only with data files paths but also with data directories (sometimes it's one of the parent directory that is passed to gen_kwargs, not the actual path to the file).\r\nThis will help a lot to make the dummy data lighter !", "This PR can be closed due to #2053 @lhoestq\r\n\r\n" ]

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[ "@lhoestq looks like a lot of files were updated... shall I create a new PR?", "Hi @chaitnayabasava ! you can try rebasing and see if that fixes the number of files changed, otherwise please do open a new PR with only the relevant files and close this one :) ", "Created a new PR #1230.\r\nclosing this one :)" ]

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[ "looks like this PR includes changes about many files other than the ones related to xitsonga NER\r\n\r\ncould you create another branch and another PR please ?" ]

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[ "the `ms_terms` formatting CI fails is fixed on master", "merging since the CI is fixed on master" ]

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[ "Sorry @lhoestq for the trouble, sometime I forget to change the names :/", "> Sorry @lhoestq for the trouble, sometime I forget to change the names :/\r\n\r\nhaha it's ok ;)" ]

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[ "Thanks ! could you regenerate the dataset_infos.json file ?\r\n\r\n```\r\ndatasets-cli test ./datasets/mrqa --save_infos --all_configs --ignore_verifications\r\n```\r\n\r\nalso cc @VictorSanh ", "Oooops, good catch @jimmycode ", "> Thanks ! could you regenerate the dataset_infos.json file ?\r\n> \r\n> ```\r\n> datasets-cli test ./datasets/mrqa --save_infos --all_configs --ignore_verifications\r\n> ```\r\n> \r\n> also cc @VictorSanh\r\n\r\nUpdated the `dataset_infos.json` file." ]

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[ "Thanks for the review. \r\nCheers!", "Hi @hfawaz, this week we are doing the 🤗 `datasets` sprint (see some details [here](https://discuss.huggingface.co/t/open-to-the-community-one-week-team-effort-to-reach-v2-0-of-hf-datasets-library/2176)).\r\n\r\nNothing more to do on your side but it means that if you register on the thread I linked above, you can have some goodies for the present dataset that you have already added (and a special goodie if you want to spend more time and add 2 other datasets as well).\r\n\r\nIf you want to join, just tell me (or post on the thread on the HuggingFace forum: https://discuss.huggingface.co/t/open-to-the-community-one-week-team-effort-to-reach-v2-0-of-hf-datasets-library/2176)", "Hello @thomwolf \r\nThanks for the feedback and for this invitation, indeed I would be glad to join you guys (you can add me). \r\nI will see if I have the time to implement a couple of datasets. \r\nCheers! ", "@hfawaz invited you to the slack with your uha email.\r\n\r\nCheck your spam folder if you can't find the invitation :)", "Oh thanks, but can you invite me on my gmail: [email protected] \r\nUHA is my old organization, I haven't had the time to update my online profiles yet.\r\nThank you " ]

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[ "good catch !" ]

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[ "too ugly, I'll make a clean one" ]

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[ "Thanks for reporting !\r\n\r\nIndeed this is a keyword in the library that is used to encode/decode features to a python dictionary that we can save/load to json.\r\nWe can probably change `_type` to something that is less likely to collide with user feature names.\r\nIn this case we would want something backward compatible though.\r\n\r\nFeel free to try a fix and open a PR, and to ping me if I can help :) " ]

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[ "thanks ! can you also regenerate the dataset_infos.json file please ?" ]

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[ "looks like this PR includes changes in many files than the ones for xquad_r, could you create a new branch and a new PR ?", "Sure, I will close this then.\r\n" ]

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[ "Hey, I think this is great idea. Any plan to integrate kaggle private datasets loading to `datasets`?" ]

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[ "@lhoestq done! ;)" ]

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[ "Errors are in the CI are not related to this PR (RemoteDatasetError)\r\nthe CI is fixed on master so it's fine ", "@lhoestq Added the dataset card. Please let me know if more information needs to be added." ]

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[ "hope this works.." ]

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[ "@lhoestq reduced the dummy data size to around 19MB in total and added the dataset card.", "@lhoestq so I ended up removing all the nested JSON objects in the gz datafile and keep only one object with minimal content: `{\"publication_number\": \"US-8230922-B2\", \"abstract\": \"dummy abstract\", \"application_number\": \"US-201113163519-A\", \"description\": \"dummy description\"}`. \r\n\r\nThey're reduced to 35KB in total (2.5KB per domain and 17.5KB for all domains), hopefully, they're small enough." ]

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[ "> Thanks for adding this one !\r\n> \r\n> I left a few comments\r\n> \r\n> after the change you'll need to regenerate the dataset_infos.json file as well\r\n\r\ndataset_infos.json regenerated", "looks like this PR includes changes to many files other that the ones for CDT\r\ncould you create another branch and another PR please ?" ]

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[ "Ready for review" ]

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