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poleval cyberbullying
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Add Dataset for (qa_srl)Question-Answer Driven Semantic Role Labeling
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- Added tags, Readme file - Added code changes
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[ "The only CI error comes from \r\n```\r\nFAILED tests/test_file_utils.py::TempSeedTest::test_tensorflow\r\n```\r\n\r\nwhich is not related to your PR and is fixed on master.\r\n\r\nYou can ignore it", "@lhoestq I've made the changes. Please review and merge. \r\n\r\nI have a similar PR https://github.com/huggingf...
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Need help with the dummy data.
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Fix namedsplit docs
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[ "Hii please follow me", "Thanks @mariosasko!" ]
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Fixes a broken link and `DatasetInfoMixin.split`'s docstring.
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Add SelQA Dataset
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Add the SelQA Dataset, a new benchmark for selection-based question answering tasks Repo: https://github.com/emorynlp/selqa/ Paper: https://arxiv.org/pdf/1606.08513.pdf
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Add nq_open question answering dataset
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[ "@SBrandeis thanks for the review, I applied your suggested changes, but CI is failing now not sure about the error.", "Many thanks @Nilanshrajput !\r\nThe failing tests on CI are not related to your changes, merging master on your branch should fix them :)\r\nIf you're interested in what causes the CI to fail,...
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Added nq_open Open-domain question answering dataset. The NQ-Open task is currently being used to evaluate submissions to the EfficientQA competition, which is part of the NeurIPS 2020 competition track.
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add ilist dataset
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This PR will add Indo-Aryan Language Identification Shared Task Dataset.
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Add SentiWS dataset for pos-tagging and sentiment-scoring (German)
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[ "Hi @lhoestq @yjernite, requesting you to review this for any changes needed. Thanks! :)", "Hi @lhoestq , I have updated the PR" ]
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Adding COVID QA dataset in Chinese and English from UC SanDiego
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[ "Changed the pre-processing based on the comments raised in [PR-1482](https://github.com/huggingface/datasets/pull/1482).The below command is passing in my local environment:\r\n\r\n`python datasets-cli test datasets/covid_qa_ucsd/ --save_infos --all_configs --data_dir ~/Downloads/Medical-Dialogue-Dataset/CovidDail...
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Add Senti_Lex Dataset
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[ "Better will be if you close this PR and make a fresh PR", "Feel free to ping me if you also have questions about the dummy data", "also it looks like this PR includes changes about dummy_data.zip files in the ./datasets//un_pc folder. Can you remove them ?", "Thanks for all the advice @lhoestq. I've implemen...
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TODO: Fix feature format issue Create dataset_info.json file Run pytests Make Style
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[ "Hi @lhoestq @yjernite, requesting you to review this for any changes needed. Thanks! :)" ]
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[ "@lhoestq thanks for the comments! Should be fixed in the latest commit, I assume the CI errors are unrelated." ]
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Hi, I need to update the link to the dataset. The link in the previous PR was to a small test dataset. Thanks
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StereoSet is a dataset that measures stereotype bias in language models. StereoSet consists of 17,000 sentences that measures model preferences across gender, race, religion, and profession.
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[ "made suggested changes and created a PR here: https://github.com/huggingface/datasets/pull/1598" ]
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MEMBER
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https://parl.ai/projects/md_gender/ Mostly has the ABOUT dimension since the others are inferred from other datasets in most cases. I tried to keep the dummy data small but one of the configs has 140 splits ( > 56KB data)
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Dataset : http://opus.nlpl.eu/DGT.php
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Dataset : http://opus.nlpl.eu/Wikipedia.php
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Added RONEC dataset.
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[ "Thanks for the PR @iliemihai . \r\n\r\nFew comments - \r\n\r\nCan you run - \r\n`python datasets-cli dummy_data ./datasets/ronec --auto_generate` to generate dummy data.\r\n\r\nAlso, before committing files run : \r\n`make style`\r\n`flake8 datasets`\r\nthen you can add and commit files.", "> Thanks for the PR @...
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OPUS UBUNTU dataset
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Dataset : http://opus.nlpl.eu/Ubuntu.php
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Dataset : http://opus.nlpl.eu/GNOME.php
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ADD: opus_rf dataset for translation
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Passed all local tests. Hopefully passes all Circle CI tests too. Tried to keep the commit history clean.
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Fake news english 4
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[ "Thanks for the PR @MisbahKhan789 !\r\n\r\nFew comments to help you along (I'm NOT a maintainer, just offering help to unblock the process) :-\r\n - Could you re-run `make style` and fix the errors related to code quality specific to your dataset in the `datasets/fake_news_english` folder?\r\n(These seem to show er...
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Adding NELL
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[ "hi @lhoestq, I wanted to push another change to this branch b/c I found a bug in the parsing. I need to swap arg1 and arg2. I tried to git push -u origin nell but it didn't work. So I tried to do git push --force -u origin nell which seems to work, but nothing is happening to this branch. I think this is because i...
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NELL is a knowledge base and knowledge graph along with sentences used to create the KB. See http://rtw.ml.cmu.edu/rtw/ for more details.
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[ "@lhoestq Thank you for suggesting changes. I fixed all the changes you suggested. Can you please review it again? ", "@lhoestq Thank you for reviewing and suggesting changes. I made the requested changes. Can you please review it again?", "Thanks @lhoestq for reviewing it again. I made the required changes. Ca...
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Dataset : https://github.com/aliannejadi/ClariQ/
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hate speech 18 dataset
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[ "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", "It's fixed on master now :) \r\n\r\nmerging this once" ]
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This is again a PR instead of #1339, because something went wrong there.
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Re-added wiki_movies dataset due to previous PR having changes from m…
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…any other unassociated files.
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Add peer-read dataset
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[ "> Cool thank you !\r\n> \r\n> I left a few comments\r\n\r\nThank you @lhoestq addressed your comments. Haven't changed the code but I see that tests are failing now. Do I need to rebase or something? ", "The CI error is not related to your dataset and is fixed on master.\r\nYou can ignore it" ]
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Added Times of India News Headlines Dataset
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[ "@lhoestq @abhishekkrthakur what happened here ?\r\n", "@lhoestq everything alright here ?", "@tanmoyio please have patience. @lhoestq has to look at 150+ PRs and it may take time. The PR looks good to me but we wait for his confirmation :) 🤗 " ]
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Dataset name: Times of India News Headlines link: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/DPQMQH
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Adding medical database chinese and english
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[ "Let me know it that helps !\r\nAlso feel free to ping me if you have other questions or if I can help you.", "Now I am getting an Assertion Error!\r\n![image](https://user-images.githubusercontent.com/16264631/101943915-f5bf5600-3c11-11eb-84e5-045bbc472162.png)\r\n", "All tests have passed. However, PyTest is ...
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Error in creating dummy dataset
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Fix ADD_NEW_DATASET to avoid rebasing once pushed
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Adding the Mac-Morpho dataset
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Adding the Mac-Morpho dataset, a Portuguese language dataset for Part-of-speech tagging tasks
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Add narrativeQA
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[ "@lhoestq this is now only failing some random windows test (it appears to be somewhere in wnut_17)", "This is a connection error, you can ignore it :) \r\nThe level of activity on the lib is quite overwhelming, it stresses a bit the CI ^^" ]
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Redo of #1368 #309 #499 In redoing the dummy data a few times, I ended up adding a load of files to git. Hopefully this should work.
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Inconsistent argument names.
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[ "Also for the `Accuracy` metric the `accuracy_score` method should have its args in the opposite order so `accuracy_score(predictions, references,,,)`.", "Thanks for pointing this out ! 🕵🏻 \r\nPredictions and references should indeed be swapped in the docstring.\r\nHowever, the call to `accuracy_score` should n...
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Just find it a wee bit odd that in the transformers library `predictions` are those made by the model: https://github.com/huggingface/transformers/blob/master/src/transformers/trainer_utils.py#L51-L61 While in many datasets metrics they are the ground truth labels: https://github.com/huggingface/datasets/blob/c3f53792a744ede18d748a1133b6597fdd2d8d18/metrics/accuracy/accuracy.py#L31-L40 Do you think predictions & references should be swapped? I'd be willing to do some refactoring here if you agree.
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Jigsaw toxicity pred
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Managed to mess up my original pull request, opening a fresh one incorporating the changes suggested by @lhoestq.
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Add an unannotated Spanish corpus of nearly 1.5 billion words, compiled from different resources from the web.
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I forgot to add `elem.clear()` to clear the element from memory.
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MEMBER
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See #1442. The statement `json.load()` loads **all the file content in memory**. In order to avoid this, file content should be parsed **iteratively**, by using the library `ijson` e.g. I have refactorized the code into a function `_create_json_dummy_data` and I have added some tests.
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[ "Connection error failed. Need rerun", "merging since the CI is fixed on master" ]
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[ "Thanks for the changes !\r\n\r\nSorry if I wasn't clear about the suggestion of adding the `raw` dataset as well.\r\nBy `raw` I meant the dataset with its original features, i.e. not tokenized to follow the conll format for NER.\r\nThe `raw` dataset has data fields `doc_text`, `doc_id` and `entities`.", "Alright...
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Adding the HAREM dataset, a Portuguese language dataset for NER tasks
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[ "it’s failing because of `RemoteDatasetTest.test_load_dataset_orange_sum`\r\nwhich i think is not the dataset you are doing a PR for. Try rebasing with:\r\n```\r\ngit fetch upstream\r\ngit rebase upstream/master\r\ngit push -u -f origin your_branch\r\n```", "> it’s failing because of `RemoteDatasetTest.test_load_...
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Hello @lhoestq , I am opening a fresh pull request as advised in my original PR https://github.com/huggingface/datasets/pull/1308 Thanks
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ADD: Wino_bias dataset
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[ "merging since the CI is fixed on master" ]
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Updated PR to counter messed up history of previous one (https://github.com/huggingface/datasets/pull/1235) due to rebase. Removed manual downloading of dataset.
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add Indonesian newspapers (id_newspapers_2018)
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[ "Looks like there's a `Path` issue on windows. Could you try switching to\r\n`glob.glob(os.path.join(article_dir, \"*.json\"))`", "> Looks like there's a `Path` issue on windows. Could you try switching to\r\n> `glob.glob(os.path.join(article_dir, \"*.json\"))`\r\n\r\nThanks, I replaced it with glob. Let's see if...
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CONTRIBUTOR
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The dataset contains around 500K articles (136M of words) from 7 Indonesian newspapers. The size of uncompressed 500K json files (newspapers-json.tgz) is around 2.2GB.
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adding snow_simplified_japanese_corpus
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[ "merging since the CI is fixed on master", "Thank you for the updates and merging!" ]
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Adding simplified Japanese corpus "SNOW T15" and "SNOW T23". They contain original Japanese, simplified Japanese, and original English (the original text is gotten from en-ja translation corpus). Hence, it can be used not only for Japanese simplification but also for en-ja translation. - http://www.jnlp.org/SNOW/T15 - http://www.jnlp.org/SNOW/T23
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Add Turkish News Category Dataset (270K).Updates were made for review…
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[ "@SBrandeis, What exactly is it that makes the tests fail? Can you help me please?", "These errors\r\n```\r\n=========================== short test summary info ============================\r\nFAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_ajgt_twitter_ar\r\nFAILED tests/test_dataset_com...
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CONTRIBUTOR
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This PR adds the **Turkish News Categories Dataset (270K)** dataset which is a text classification dataset by me and @yavuzKomecoglu. Turkish news dataset consisting of **273601 news in 17 categories**, compiled from printed media and news websites between 2010 and 2017 by the [Interpress](https://www.interpress.com/) media monitoring company. **Note**: Resubmitted as a clean version of the previous Pull Request(#1419). @SBrandeis @lhoestq
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Add clean menyo20k data
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[ "@lhoestq rerun the tests " ]
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New Clean PR for menyo20k_mt
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Reddit jokes
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[ "@lhoestq would you please rerun the test, ", "I re-started the test.\r\n\r\n@lhoestq let's hold off on merging for now though, having a conversation on Slack about some of the offensive content in the dataset and how/whether we want to present it." ]
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CONTRIBUTOR
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196k Reddit Jokes dataset Dataset link- https://raw.githubusercontent.com/taivop/joke-dataset/master/reddit_jokes.json
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Adding enriched_web_nlg features + handling xml bugs
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MEMBER
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This PR adds features of the enriched_web_nlg dataset that were not present yet (most notably sorted rdf triplet sets), and deals with some xml issues that led to returning no data in cases where surgery could be performed to salvage it.
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Added conv ai 2 (Again)
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[ "Looking perfect to me, need to rerun the tests\r\n", "Thanks, @tanmoyio. \r\nHow do I rerun the tests? Should I change something or push a new commit?", "@rkc007 you don't need to rerun it, @lhoestq @yjernite will rerun it, as there are huge number of PRs in the queue it might take lil bit of time. ", "ive j...
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CONTRIBUTOR
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The original PR -> https://github.com/huggingface/datasets/pull/1383 Reason for creating again - The reason I had to create the PR again was due to the master rebasing issue. After rebasing the changes, all the previous commits got added to the branch.
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Adding NewsQA dataset
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[ "Generate the dummy dataset then regenerate the dataset_info.json file, ", "> Generate the dummy dataset then regenerate the dataset_info.json file,\r\n\r\nThe pytest scripts do not accept manual directory inputs for the data provided manually. This is why the tests fail. ", "don't use the --auto-generate argum...
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Since the dataset has legal restrictions to circulate the original data. It has to be manually downloaded by the user and loaded to the library.
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add Bengali Hate Speech dataset
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[ "@lhoestq I think you might want to look at the dataset, and the first data instances mentioned in the README.md is very much offensive. Though this dataset is based on hate speech but I found the dataset heavily disturbing as Bengali is my native language.", "Hi @tanmoyio indeed you're right.\r\nWe should *at le...
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Add Google Conceptual Captions Dataset (manual download)
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Add id_nergrit_corpus
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[ "merging since the CI is fixed on master" ]
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Nergrit Corpus is a dataset collection of Indonesian Named Entity Recognition, Statement Extraction, and Sentiment Analysis. Recently my PR for id_nergrit_ner has been accepted and merged to the main branch. The id_nergrit_ner has only one dataset (NER), and this new PR renamed the dataset from id_nergrit_ner to id_nergrit_corpus and added 2 other remaining datasets (Statement Extraction, and Sentiment Analysis.)
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add hrenwac_para
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[ "duplicate" ]
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Add CC100 Dataset
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Closes #773
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Add HEAD-QA: A Healthcare Dataset for Complex Reasoning
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[ "Thank you for your review @lhoestq, I've changed the types of `qid` and `ra` and now they are integers as `aid`.\r\n\r\nReady for another review!" ]
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HEAD-QA is a multi-choice HEAlthcare Dataset, the questions come from exams to access a specialized position in the Spanish healthcare system.
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Add kinnews_kirnews
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Add kinnews and kirnews
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Adding ethos dataset clean
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[ "> Thanks !\r\n\r\nThanks as well for your hard work 😊!!", "merging since the CI is fixed on master" ]
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I addressed the comments on the PR1318
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SNLI dataset contains labels with value -1
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[ "I believe the `-1` label is used for missing/NULL data as per HuggingFace Dataset conventions. If I recall correctly SNLI has some entries with no (gold) labels in the dataset.", "Ah, you're right. The dataset has some pairs with missing labels. Thanks for reminding me." ]
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``` import datasets nli_data = datasets.load_dataset("snli") train_data = nli_data['train'] train_labels = train_data['label'] label_set = set(train_labels) print(label_set) ``` **Output:** `{0, 1, 2, -1}`
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Add European Center for Disease Control and Preventions's (ECDC) Translation Memory dataset
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ECDC-TM homepage: https://ec.europa.eu/jrc/en/language-technologies/ecdc-translation-memory
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Fix version in bible_para
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add W&I + LOCNESS dataset (BEA-2019 workshop shared task on GEC) [PROPER]
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[ "linter your code with flake8 and also run the commands present in Makefile for proper formatting \r\n", "merging since the CI is fixed on master" ]
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- **Name:** W&I + LOCNESS dataset (from the BEA-2019 workshop shared task on GEC) - **Description:** https://www.cl.cam.ac.uk/research/nl/bea2019st/#data - **Paper:** https://www.aclweb.org/anthology/W19-4406/ - **Motivation:** This is a recent dataset (actually two in one) for grammatical error correction and is used for benchmarking in this field of NLP. ### Checkbox - [x] Create the dataset script `/datasets/my_dataset/my_dataset.py` using the template - [x] Fill the `_DESCRIPTION` and `_CITATION` variables - [x] Implement `_infos()`, `_split_generators()` and `_generate_examples()` - [x] Make sure that the `BUILDER_CONFIGS` class attribute is filled with the different configurations of the dataset and that the `BUILDER_CONFIG_CLASS` is specified if there is a custom config class. - [x] Generate the metadata file `dataset_infos.json` for all configurations - [x] Generate the dummy data `dummy_data.zip` files to have the dataset script tested and that they don't weigh too much (<50KB) - [x] Add the dataset card `README.md` using the template : fill the tags and the various paragraphs - [x] Both tests for the real data and the dummy data pass.
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add thai_toxicity_tweet
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Thai Toxicity Tweet Corpus contains 3,300 tweets (506 tweets with texts missing) annotated by humans with guidelines including a 44-word dictionary. The author obtained 2,027 and 1,273 toxic and non-toxic tweets, respectively; these were labeled by three annotators. The result of corpus analysis indicates that tweets that include toxic words are not always toxic. Further, it is more likely that a tweet is toxic, if it contains toxic words indicating their original meaning. Moreover, disagreements in annotation are primarily because of sarcasm, unclear existing target, and word sense ambiguity. Notes from data cleaner: The data is included into [huggingface/datasets](https://www.github.com/huggingface/datasets) in Dec 2020. By this time, 506 of the tweets are not available publicly anymore. We denote these by `TWEET_NOT_FOUND` in `tweet_text`. Processing can be found at [this PR](https://github.com/tmu-nlp/ThaiToxicityTweetCorpus/pull/1).
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Update step-by-step guide for windows
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[ "Hi @thomwolf, for simplification purposes, I think you could remove the \"`pip install ...`\" steps from this commit, 'cause these deps (black, isort, flake8) are already installed on `pip install -e \".[dev]\"` on the [Start by preparing your environment](https://github.com/huggingface/datasets/blob/704107f924e74...
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Update step-by-step guide for windows to give an alternative to `make style`.
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Add Bing Coronavirus Query Set
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Added dataset clickbait_news_bg
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[ "Looks like this PR includes changes about many other files than the ones for clickbait_news_bg\r\n\r\nCan you create another branch and another PR please ?", "I created a new branch with the dataset code and submitted a new PR for it: https://github.com/huggingface/datasets/pull/1568" ]
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FileNotFound remotly, can't load a dataset
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[ "This dataset will be available in version-2 of the library. If you want to use this dataset now, install datasets from `master` branch rather.\r\n\r\nCommand to install datasets from `master` branch:\r\n`!pip install git+https://github.com/huggingface/datasets.git@master`", "Closing this, thanks @VasudevGupta7 "...
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```py !pip install datasets import datasets as ds corpus = ds.load_dataset('large_spanish_corpus') ``` gives the error > FileNotFoundError: Couldn't find file locally at large_spanish_corpus/large_spanish_corpus.py, or remotely at https://raw.githubusercontent.com/huggingface/datasets/1.1.3/datasets/large_spanish_corpus/large_spanish_corpus.py or https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/large_spanish_corpus/large_spanish_corpus.py not just `large_spanish_corpus`, `zest` too, but `squad` is available. this was using colab and localy
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Add OPUS Wikimedia Translations Dataset
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While I was adding one XML dataset, I noticed that all the dataset was loaded in memory during the dummy data generation process (using nearly all my laptop RAM). Looking at the code, I have found that the origin is the use of `ET.parse()`. This method loads **all the file content in memory**. In order to fix this, I have refactorized the code and use `ET.iterparse()` instead, which **parses the file content incrementally**. I have also implemented a test.
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Add Igbo-English Machine Translation Dataset
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Adding english plaintext jokes dataset
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[ "Hi @purvimisal, thanks for your contributions!\r\n\r\nThis jokes dataset has come up before, and after a conversation with the initial submitter, we decided not to add it then. Humor is important, but looking at the actual data points in this set raises several concerns :) \r\n\r\nThe main issue is the Reddit part...
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This PR adds a dataset of 200k English plaintext Jokes from three sources: Reddit, Stupidstuff, and Wocka. Link: https://github.com/taivop/joke-dataset This is my second PR. First was: [#1269 ](https://github.com/huggingface/datasets/pull/1269)
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Update README.md
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1k-10k -> 1k-1M 3 separate configs are available with min. 1K and max. 211.3k examples
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A descriptive name for my changes
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[ "I have noticed that the master branch of your fork has diverged from the one of the repo. This is probably what causes the mess in the github diff \"Files changed\".\r\n\r\nI would suggest to re-fork the `datasets` repo and recreate a new branch and a new PR. ", "You're pretty close to having all things ready to...
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hind encorp resubmited
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Add Indosum dataset
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[ "Hi @prasastoadi have you had a chance to take a look at my suggestions ?\r\n\r\nFeel free to ping ;e if you have questions or when you're ready for a review" ]
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add ALT
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[ "The errors in de CI are fixed on master so it's fine" ]
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ALT dataset -- https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/
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[ "@yjernite @lhoestq Any suggestions on how to get the dummy data generator to recognize the columns? The structure of the json is:\r\n```\r\n{\r\n \"Dataset\": \"FreebaseQA-eval\", \r\n \"Version\": \"1.0\", \r\n \"Questions\": [\r\n {\r\n \"Question-ID\": \"FreebaseQA-eval-0\", \r\n \"RawQuestion\"...
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This PR adds the FreebaseQA dataset: A Trivia-type QA Data Set over the Freebase Knowledge Graph Repo: https://github.com/kelvin-jiang/FreebaseQA Paper: https://www.aclweb.org/anthology/N19-1028.pdf ## TODO: create dummy data Error encountered when running `python datasets-cli dummy_data datasets/freebase_qa --auto_generate` ``` f"Couldn't parse columns {list(json_data.keys())}. " ValueError: Couldn't parse columns ['Dataset', 'Version', 'Questions']. Maybe specify which json field must be used to read the data with --json_field <my_field>. ```
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[ "Hey @lhoestq , thanks for the feedback on this! I updated the `_generate_examples` with some comments on the process, and reduced the `dummy_data.zip` down quite a bit as well. \r\n\r\nFor the dummy data, I reduced the text to only three sentences, and aligned the corresponding entity/token/sentence annotations to...
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adding [SOFC-Exp Corpus](https://arxiv.org/abs/2006.03039)
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Adding the ASSIN 2 dataset, a Portuguese language dataset for Natural Language Inference and Semantic Similarity Scoring
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[ "@lhoestq Thanks a lot for checking! I hope I addressed all your comments. ", "merging since the CI is fixed on master" ]
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This is my first dataset to be added to HF.
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Adding ArCOV-19 dataset. ArCOV-19 is an Arabic COVID-19 Twitter dataset that covers the period from 27th of January till 30th of April 2020. ArCOV-19 is the first publicly-available Arabic Twitter dataset covering COVID-19 pandemic that includes over 1M tweets alongside the propagation networks of the most-popular subset of them (i.e., most-retweeted and-liked). The propagation networks include both retweets and conversational threads (i.e., threads of replies). ArCOV-19 is designed to enable research under several domains including natural language processing, information retrieval, and social computing, among others.
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Add 1.5 billion words Arabic corpus
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[ "Can't pass dummy data tests. For the instructions, it asks me to generate the following file `dummy_data/Youm7_XML_utf_8.rar/Youm7_utf_8.xml` which is strange, any ideas @lhoestq ?\r\n\r\ncc: I tested the data locally and it works, maybe the dummy tests doesn't support `rar` ? ", "In the dummy_data.zip files you...
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Needs https://github.com/huggingface/datasets/pull/1429 to work.
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extract rar files
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Unfortunately, I didn't find any native python libraries for extracting rar files. The user has to manually install `sudo apt-get install unrar`. Discussion with @yjernite is in the slack channel.
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Add twi WordSim 353
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Hebrew project BenYehuda
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[ "merging since the CI is fixed on master" ]
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Added Hebrew corpus from https://github.com/projectbenyehuda/public_domain_dump
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init commit for MultiReQA for third PR with all issues fixed
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[ "good dataset card as well :) ", "@lhoestq Thank you :) " ]
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3rd PR w.r.t. PR #1349 with all the issues fixed. As #1349 had uploaded other files along with the multi_re_qa dataset
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Add german common crawl dataset
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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 suggestio...
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Adding a subpart of the Common Crawl which was extracted with this repo https://github.com/facebookresearch/cc_net and additionally filtered for duplicates
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Add yoruba wordsim353
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Added WordSim-353 evaluation dataset for Yoruba
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Imppres
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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 uns...
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2nd PR ever! Hopefully I'm starting to get the hang of this. This is for the IMPPRES dataset. Please let me know of any corrections or changes that need to be made.
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Can't map dataset (loaded from csv)
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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 s...
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Hello! I am trying to load single csv file with two columns: ('label': str, 'text' str), where is label is str of two possible classes. Below steps are similar with [this notebook](https://colab.research.google.com/drive/1-JIJlao4dI-Ilww_NnTc0rxtp-ymgDgM?usp=sharing), where bert model and tokenizer are used to classify lmdb loaded dataset. Only one difference it is the dataset loaded from .csv file. Here is how I load it: ```python data_path = 'data.csv' data = pd.read_csv(data_path) # process class name to indices classes = ['neg', 'pos'] class_to_idx = { cl: i for i, cl in enumerate(classes) } # now data is like {'label': int, 'text' str} data['label'] = data['label'].apply(lambda x: class_to_idx[x]) # load dataset and map it with defined `tokenize` function features = Features({ target: ClassLabel(num_classes=2, names=['neg', 'pos'], names_file=None, id=None), feature: Value(dtype='string', id=None), }) dataset = Dataset.from_pandas(data, features=features) dataset.map(tokenize, batched=True, batch_size=len(dataset)) ``` It ruins on the last line with following error: ``` --------------------------------------------------------------------------- AssertionError Traceback (most recent call last) <ipython-input-112-32b6275ce418> in <module>() 9 }) 10 dataset = Dataset.from_pandas(data, features=features) ---> 11 dataset.map(tokenizer, batched=True, batch_size=len(dataset)) 2 frames /usr/local/lib/python3.6/dist-packages/datasets/arrow_dataset.py in map(self, function, with_indices, input_columns, batched, batch_size, drop_last_batch, remove_columns, keep_in_memory, load_from_cache_file, cache_file_name, writer_batch_size, features, disable_nullable, fn_kwargs, num_proc, suffix_template, new_fingerprint) 1237 test_inputs = self[:2] if batched else self[0] 1238 test_indices = [0, 1] if batched else 0 -> 1239 update_data = does_function_return_dict(test_inputs, test_indices) 1240 logger.info("Testing finished, running the mapping function on the dataset") 1241 /usr/local/lib/python3.6/dist-packages/datasets/arrow_dataset.py in does_function_return_dict(inputs, indices) 1208 fn_args = [inputs] if input_columns is None else [inputs[col] for col in input_columns] 1209 processed_inputs = ( -> 1210 function(*fn_args, indices, **fn_kwargs) if with_indices else function(*fn_args, **fn_kwargs) 1211 ) 1212 does_return_dict = isinstance(processed_inputs, Mapping) /usr/local/lib/python3.6/dist-packages/transformers/tokenization_utils_base.py in __call__(self, text, text_pair, add_special_tokens, padding, truncation, max_length, stride, is_split_into_words, pad_to_multiple_of, return_tensors, return_token_type_ids, return_attention_mask, return_overflowing_tokens, return_special_tokens_mask, return_offsets_mapping, return_length, verbose, **kwargs) 2281 ) 2282 ), ( -> 2283 "text input must of type `str` (single example), `List[str]` (batch or single pretokenized example) " 2284 "or `List[List[str]]` (batch of pretokenized examples)." 2285 ) AssertionError: text input must of type `str` (single example), `List[str]` (batch or single pretokenized example) or `List[List[str]]` (batch of pretokenized examples). ``` which I think is not expected. I also tried the same steps using `Dataset.from_csv` which resulted in the same error. For reproducing this, I used [this dataset from kaggle](https://www.kaggle.com/team-ai/spam-text-message-classification)
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adding fake-news-english-2
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Add dataset yoruba_wordsim353
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[ "merging since the CI is fixed on master" ]
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Contains loading script as well as dataset card including YAML tags.
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Add Turkish News Category Dataset (270K)
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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...
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CONTRIBUTOR
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This PR adds the Turkish News Categories Dataset (270K) dataset which is a text classification dataset by me and @yavuzKomecoglu. Turkish news dataset consisting of **273601 news** in **17 categories**, compiled from printed media and news websites between 2010 and 2017 by the [Interpress](https://www.interpress.com/) media monitoring company.
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Add arabic dialects
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[ "merging since the CI is fixed on master" ]
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Data loading script and dataset card for Dialectal Arabic Resources dataset. Fixed git issues from PR #976
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WIP: Vinay/add peer read dataset
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Add Shrinked Turkish NER from Kaggle.
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Add Shrinked Turkish NER from [Kaggle](https://www.kaggle.com/behcetsenturk/shrinked-twnertc-turkish-ner-data-by-kuzgunlar).
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Add Hate Speech and Offensive Language Detection dataset
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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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CONTRIBUTOR
null
Add [Hate Speech and Offensive Language Detection dataset](https://github.com/t-davidson/hate-speech-and-offensive-language) from [this paper](https://arxiv.org/abs/1703.04009).
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Adding BioCreative II Gene Mention corpus
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Adding BioCreative II Gene Mention corpus
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Add OffComBR
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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.wa...
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CONTRIBUTOR
null
Add [OffComBR](https://github.com/rogersdepelle/OffComBR) from [Offensive Comments in the Brazilian Web: a dataset and baseline results](https://sol.sbc.org.br/index.php/brasnam/article/view/3260/3222) paper. But I'm having a hard time generating dummy data since the original dataset extion is `.arff` and the [_create_dummy_data function](https://github.com/huggingface/datasets/blob/a4aeaf911240057286a01bff1b1d75a89aedd57b/src/datasets/commands/dummy_data.py#L185) doesn't allow it.
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