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Add Urdu fake news dataset.
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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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Added Urdu fake news dataset. More information about the dataset can be found <a href="https://github.com/MaazAmjad/Datasets-for-Urdu-news">here</a>.
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Add Xitsonga Ner
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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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Clean Xitsonga Ner PR
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adding cdt dataset
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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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Add Urdu fake news.
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Added Urdu fake news dataset. More information about the dataset can be found <a href="https://github.com/MaazAmjad/Datasets-for-Urdu-news">here</a>.
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adding cdt dataset
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Added activation of Conda environment before installing.
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Add Google Great Code Dataset
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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 ;)" ]
1,607,091,978,000
1,607,096,821,000
1,607,096,811,000
CONTRIBUTOR
null
Arabic Vocalized Words Dataset.
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757,133,789
MDExOlB1bGxSZXF1ZXN0NTMyNTYwNzM4
1,117
Fix incorrect MRQA train+SQuAD URL
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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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CONTRIBUTOR
null
Fix issue #1115
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757,133,502
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1,116
add dbpedia_14 dataset
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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: hassanismailfawaz@gmail.com \r\nUHA is my old organization, I haven't had the time to update my online profiles yet.\r\nThank you " ]
1,607,091,239,000
1,607,335,614,000
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CONTRIBUTOR
null
This dataset corresponds to the DBpedia dataset requested in https://github.com/huggingface/datasets/issues/353.
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1,115
Incorrect URL for MRQA SQuAD train subset
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[ "good catch !" ]
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CONTRIBUTOR
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https://github.com/huggingface/datasets/blob/4ef4c8f8b7a60e35c6fa21115fca9faae91c9f74/datasets/mrqa/mrqa.py#L53 The URL for `train+SQuAD` subset of MRQA points to the dev set instead of train set. It should be `https://s3.us-east-2.amazonaws.com/mrqa/release/v2/train/SQuAD.jsonl.gz`.
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757,123,638
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1,114
Add sesotho ner corpus
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CONTRIBUTOR
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Clean Sesotho PR
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add qed
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MEMBER
null
adding QED: Dataset for Explanations in Question Answering https://github.com/google-research-datasets/QED https://arxiv.org/abs/2009.06354
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Initial version of cord-19 dataset from AllenAI with only the abstract
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[ "too ugly, I'll make a clean one" ]
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CONTRIBUTOR
null
Initial version only reading the metadata in CSV. ### Checklist: - [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 and at least fill the tags - [ ] Both tests for the real data and the dummy data pass. ### TODO: - [ ] add more metadata - [ ] add full text - [ ] add pre-computed document embedding
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Add Siswati Ner corpus
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CONTRIBUTOR
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Clean Siswati PR
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Using a feature named "_type" fails with certain operations
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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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CONTRIBUTOR
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A column named `_type` leads to a `TypeError: unhashable type: 'dict'` for certain operations: ```python from datasets import Dataset, concatenate_datasets ds = Dataset.from_dict({"_type": ["whatever"]}).map() concatenate_datasets([ds]) # or simply Dataset(ds._data) ``` Context: We are using datasets to persist data coming from elasticsearch to feed to our pipeline, and elasticsearch has a `_type` field, hence the strange name of the column. Not sure if you wish to support this specific column name, but if you do i would be happy to try a fix and provide a PR. I already had a look into it and i think the culprit is the `datasets.features.generate_from_dict` function. It uses the hard coded `_type` string to figure out if it reached the end of the nested feature object from a serialized dict. Best wishes and keep up the awesome work!
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add woz_dialogue
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MEMBER
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Adding Wizard-of-Oz task oriented dialogue dataset https://github.com/nmrksic/neural-belief-tracker/tree/master/data/woz https://arxiv.org/abs/1604.04562
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Add Sepedi NER corpus
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CONTRIBUTOR
null
Finally a clean PR for Sepedi
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Add arsentd_lev dataset
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[ "thanks ! can you also regenerate the dataset_infos.json file please ?" ]
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CONTRIBUTOR
null
Add The Arabic Sentiment Twitter Dataset for Levantine dialect (ArSenTD-LEV) Paper: [ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets](https://arxiv.org/abs/1906.01830) Homepage: http://oma-project.com/
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Add Urdu fake news
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CONTRIBUTOR
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Added Urdu fake news dataset. More information about the dataset can be found <a href="https://github.com/MaazAmjad/Datasets-for-Urdu-news">here</a>.
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add xquad_r dataset
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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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add TLC
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CONTRIBUTOR
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Added TLC dataset
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Add support to download kaggle datasets
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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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MEMBER
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We can use API key
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Add retries to download manager
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1,101
Add Wikicorpus dataset
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[ "@lhoestq done! ;)" ]
1,607,079,446,000
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MEMBER
null
Add dataset.
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1,100
Urdu fake news
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1,607,078,480,000
1,607,080,740,000
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CONTRIBUTOR
null
Added Bend the Truth urdu fake news dataset. More inforation <a href="https://github.com/MaazAmjad/Datasets-for-Urdu-news">here</a>.
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756,993,540
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1,099
Add tamilmixsentiment data
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756,975,414
MDExOlB1bGxSZXF1ZXN0NTMyNDI3OTE5
1,098
Add ToTTo Dataset
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1,607,076,445,000
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MEMBER
null
Adds a brand new table to text dataset: https://github.com/google-research-datasets/ToTTo
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Add MSRA NER labels
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MEMBER
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Fixes #940
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FIX matinf link in ADD_NEW_DATASET.md
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1,095
Add TupleInf Open IE Dataset
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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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CONTRIBUTOR
null
For more information: https://allenai.org/data/tuple-ie
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add urdu fake news dataset
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CONTRIBUTOR
null
Added Urdu fake news dataset. The dataset can be found <a href="https://github.com/MaazAmjad/Datasets-for-Urdu-news">here</a>.
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Add NCBI Disease Corpus dataset
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1,092
Add Coached Conversation Preference Dataset
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CONTRIBUTOR
null
Adding [Coached Conversation Preference Dataset](https://research.google/tools/datasets/coached-conversational-preference-elicitation/)
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Add Google wellformed query dataset
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[ "hope this works.." ]
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CONTRIBUTOR
null
This pull request will add Google wellformed_query dataset. Link of dataset is https://github.com/google-research-datasets/query-wellformedness
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add thaisum
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CONTRIBUTOR
null
ThaiSum, a large-scale corpus for Thai text summarization obtained from several online news websites namely Thairath, ThaiPBS, Prachathai, and The Standard. This dataset consists of over 350,000 article and summary pairs written by journalists. We evaluate the performance of various existing summarization models on ThaiSum dataset and analyse the characteristic of the dataset to present its difficulties.
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add sharc_modified
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MEMBER
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Adding modified ShARC dataset https://github.com/nikhilweee/neural-conv-qa
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add xquad_r dataset
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Add Big Patent dataset
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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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CONTRIBUTOR
null
* More info on the dataset: https://evasharma.github.io/bigpatent/ * There's another raw version of the dataset available from tfds. However, they're quite large so I don't have the resources to fully test all the configs for that version yet. We'll try to add it later.
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adding cdt dataset
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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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CONTRIBUTOR
null
- **Name:** *Cyberbullying Detection Task* - **Description:** *The Cyberbullying Detection task was part of 2019 edition of PolEval competition. The goal is to predict if a given Twitter message contains a cyberbullying (harmful) content.* - **Data:** *https://github.com/ptaszynski/cyberbullying-Polish* - **Motivation:** *The KLEJ benchmark (Kompleksowa Lista Ewaluacji Językowych) is a set of nine evaluation tasks for the Polish language understanding.*
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add mutual friends conversational dataset
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[ "Ready for review" ]
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Mutual friends dataset WIP TODO: - scenario_kbs (bug with pyarrow conversion) - download from codalab checksums bug
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adding cdsc dataset
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CONTRIBUTOR
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- **Name**: *cdsc (domains: cdsc-e & cdsc-r)* - **Description**: *Polish CDSCorpus consists of 10K Polish sentence pairs which are human-annotated for semantic relatedness and entailment. The dataset may be used for the evaluation of compositional distributional semantics models of Polish. The dataset was presented at ACL 2017. Please refer to the Wróblewska and Krasnowska-Kieraś (2017) for a detailed description of the resource.* - **Data**: *http://2019.poleval.pl/index.php/tasks/* - **Motivation**: *The KLEJ benchmark (Kompleksowa Lista Ewaluacji Językowych) is a set of nine evaluation tasks for the Polish language understanding.*
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Add the multilingual Exams dataset
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[ "Will slim down the dummy files in the morning" ]
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https://github.com/mhardalov/exams-qa `multilingual` configs have all languages mixed together `crosslingual` mixes the languages for test but separates them for train and dec, so I've made one config per language for train/dev data and one config with the joint test set
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Myanmar news dataset
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[ "merging since the CI is fixed on master" ]
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CONTRIBUTOR
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Add news topic classification dataset in Myanmar / Burmese languagess This data was collected in 2017 by Aye Hninn Khine , and published on GitHub with a GPL license https://github.com/ayehninnkhine/MyanmarNewsClassificationSystem
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Add Knowledge-Enhanced Language Model Pre-training (KELM)
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Adds the KELM dataset. - Webpage/repo: https://github.com/google-research-datasets/KELM-corpus - Paper: https://arxiv.org/pdf/2010.12688.pdf
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Add WikiANN NER dataset
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[ "Dataset card added, so ready for review!" ]
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MEMBER
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This PR adds the full set of 176 languages from the balanced train/dev/test splits of WikiANN / PAN-X from: https://github.com/afshinrahimi/mmner Until now, only 40 of these languages were available in `datasets` as part of the XTREME benchmark Courtesy of the dataset author, we can now download this dataset from a Dropbox URL without needing a manual download anymore 🥳, so at some point it would be worth updating the PAN-X subset of XTREME as well 😄 Link to gist with some snippets for producing dummy data: https://gist.github.com/lewtun/5b93294ab6dbcf59d1493dbe2cfd6bb9 P.S. @yjernite I think I was confused about needing to generate a set of YAML tags per config, so ended up just adding a single one in the README.
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nkjp-ner
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CONTRIBUTOR
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- **Name:** *nkjp-ner* - **Description:** *The NKJP-NER is based on a human-annotated part of NKJP. We extracted sentences with named entities of exactly one type. The task is to predict the type of the named entity.* - **Data:** *https://klejbenchmark.com/tasks/* - **Motivation:** *The KLEJ benchmark (Kompleksowa Lista Ewaluacji Językowych) is a set of nine evaluation tasks for the Polish language understanding.*
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add AJGT dataset
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Arabic Jordanian General Tweets.
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Added glucose dataset
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MEMBER
null
This PR adds the [Glucose](https://github.com/ElementalCognition/glucose) dataset.
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quac quac / coin coin
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1,607,028,929,000
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MEMBER
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Add QUAC (Question Answering in Context) I linearized most of the dictionnaries to lists. Referenced to the authors' datasheet for the dataset card. 🦆🦆🦆 Coin coin
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adding cleaned verion of E2E NLG
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MEMBER
null
Found at: https://github.com/tuetschek/e2e-cleaning
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Swedish MT STS-B
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CONTRIBUTOR
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Added a Swedish machine translated version of the well known STS-B Corpus
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Add DialogRE dataset
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Adding the [DialogRE](https://github.com/nlpdata/dialogre) dataset Version 2. - All tests passed successfully.
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actually uses the previously declared VERSION on the configs in the template
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add xlrd to test package requirements
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Adds `xlrd` package to the test requirements to handle scripts that use `pandas` to load excel files
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add conv_ai
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[ "This one will make @thomwolf reminisce ;)", "Merging." ]
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Adding ConvAI dataset https://github.com/DeepPavlov/convai/tree/master/2017
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Test
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Add Pubmed (citation + abstract) dataset (2020).
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[ "LGTM! ftp addition looks fine but maybe have a look @thomwolf ?", "It's not finished yet, I need to run the tests on the full dataset (it was running this weekend, there is an error somewhere deep)\r\n", "@yjernite Ready for review !\r\n@thomwolf \r\n\r\nSo I tried to follow closely the original format that means I still had to drop information (namely tags on elements are simply discarded for now but they don't seem to carry critical information).\r\nSome elements are also discarded they tend to not come up often:\r\n - The most notable is Author affiliation, which seems to be all over the place in terms of what it look meaning it's hard to actually get a consistent format.\r\n - Journal is the same, all the elements in there can be wildly different so I decided to drop it for now instead of trying to figure out a way to have a common presentation. (the DOI and medline ID are present so it can be recovered).\r\n\r\nI think this PR could go as it but we probably should add a way to get easier information to use with a config.\r\nFor instance `{\"title\": \"string\", \"abstract\": \"string\", \"authors\": List[str], \"substances\": List[str]}` maybe ? (substances for instance is a tricky one, some substances only have an international identifier, some have simply a common name, some both)\r\n\r\nIt's relatively easy to do I think it's mostly discarding other fields and renaming some deep structure into a flat one.", "Look ok to me but @lhoestq is the master on the Download Manager side" ]
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add xquad-r dataset
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Add ChrEn
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[ "I just saw your PR actually ^^", "> I just saw your PR actually ^^\r\n\r\nSomehow that still doesn't work, lmk if you have any ideas.", "Did you rebase from master ?" ]
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Adding the Cherokee English machine translation dataset of https://github.com/ZhangShiyue/ChrEn
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add xquad-r dataset
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Not support links with 302 redirect
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[ "Hi !\r\nThis kind of links is now supported by the library since #1316", "> Hi !\r\n> This kind of links is now supported by the library since #1316\r\n\r\nI updated links in TLC datasets to be the github links in this pull request \r\n https://github.com/huggingface/datasets/pull/1737\r\n\r\nEverything works now. Thank you." ]
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CONTRIBUTOR
null
I have an issue adding this download link https://github.com/jitkapat/thailitcorpus/releases/download/v.2.0/tlc_v.2.0.tar.gz it might be because it is not a direct link (it returns 302 and redirects to aws that returns 403 for head requests). ``` r.head("https://github.com/jitkapat/thailitcorpus/releases/download/v.2.0/tlc_v.2.0.tar.gz", allow_redirects=True) # <Response [403]> ```
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Add the Ud treebank
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[ "merging since the CI is fixed on master" ]
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CONTRIBUTOR
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This PR adds the 183 datasets in 104 languages of the UD Treebank.
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Add KorNLU dataset
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[ "Nice thank you !\r\nCan you regenerate the dataset_infos.json file ? Since we changed the features we must update it\r\n\r\nThen I think we'll be good to merge :)" ]
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CONTRIBUTOR
null
Added Korean NLU datasets. The link to the dataset can be found [here](https://github.com/kakaobrain/KorNLUDatasets) and the paper can be found [here](https://arxiv.org/abs/2004.03289) **Note**: The MNLI tsv file is broken, so this code currently excludes the file. Please suggest other alternative if any @lhoestq - [x] Followed the instructions in CONTRIBUTING.md - [x] Ran the tests successfully - [x] Created the dummy data
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add labr dataset
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CONTRIBUTOR
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Arabic Book Reviews dataset.
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Fix squad V2 metric script
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[ "The script with changes is used and tested in [#8924](https://github.com/huggingface/transformers/pull/8924). It gives the same results as the old `evaluate_squad` function when used on the same predictions.", "merging since the CI is fixed on master" ]
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MEMBER
null
The current squad v2 metric doesn't work with the squad (v1 or v2) datasets. The script is copied from `squad_evaluate` in transformers that requires the labels (with multiple answers) to be like this: ``` references = [{'id': 'a', 'answers': [ {'text': 'Denver Broncos', 'answer_start': 177}, {'text': 'Denver Broncos', 'answer_start': 177} ]}] ``` while the dataset had references like this: ``` references = [{'id': 'a', 'answers': {'text': ['Denver Broncos' 'Denver Broncos'], 'answer_start': [177, 177]} }] ``` Using one or the other format fails with the current squad v2 metric: ``` from datasets import load_metric metric = load_metric("squad_v2") predictions = [{'id': 'a', 'prediction_text': 'Denver Broncos', 'no_answer_probability': 0.0}] references = [{'id': 'a', 'answers': [ {'text': 'Denver Broncos', 'answer_start': 177}, {'text': 'Denver Broncos', 'answer_start': 177} ]}] metric.compute(predictions=predictions, references=references) ``` fails as well as ``` from datasets import load_metric metric = load_metric("squad_v2") predictions = [{'id': 'a', 'prediction_text': 'Denver Broncos', 'no_answer_probability': 0.0}] references = [{'id': 'a', 'answers': {'text': ['Denver Broncos' 'Denver Broncos'], 'answer_start': [177, 177]} }] metric.compute(predictions=predictions, references=references) ``` This is because arrow reformats the references behind the scene. With this PR (tested locally), both the snippets up there work and return proper results.
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Add TLC
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[ "I have reduced the size of the dummy file and added README sections as you suggested. ", "I have a little issue to run the test. It seems there is no failed case in my machine. ", "Thanks !\r\nIt looks like the PR includes changes to many other files than the ones of `tlc`, can you create another branch and another PR ?" ]
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Added TLC dataset
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added paws-x dataset
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Added paws-x dataset. Updating README and tags in the dataset card in a while
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Adding TamilMixSentiment
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[ "looks like this pr incldues changes about many other files than the ones for tamilMixSentiment, could you create another branch and another PR ?" ]
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Add deal_or_no_dialog
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CONTRIBUTOR
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Add deal_or_no_dialog Dataset github: https://github.com/facebookresearch/end-to-end-negotiator Paper: [Deal or No Deal? End-to-End Learning for Negotiation Dialogues](https://arxiv.org/abs/1706.05125)
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Add hebrew-sentiment
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[ "@elronbandel it looks like something went wrong with the renaming, as the old files are still in the PR. Can you `git rm datasets/hebrew-sentiment` ?", "merging since the CI is fixed on master" ]
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hebrew-sentiment dataset is ready! (including tests, tags etc)
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Add dataset - SemEval 2014 - Task 1
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[ "Added the dataset card.\r\nRequesting another review." ]
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CONTRIBUTOR
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Adding the dataset of SemEval 2014 Task 1 Found the dataset under the shared Google Sheet > Recurring Task Datasets Task Homepage - https://alt.qcri.org/semeval2014/task1 Thank you!
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Fix dataset URL and file names, and add column name in "Social Bias Frames" dataset
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[ "Thanks a lot, looks good!" ]
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CONTRIBUTOR
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# Why I did When I use "social_bias_frames" datasets in this library, I got 404 Errors. So, I fixed this error and another some problems that I faced to use the dataset. # What I did * Modify this dataset URL * Modify this dataset file names * Add a "dataSource" column Thank you!
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add sharc dataset
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MEMBER
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This PR adds the ShARC dataset. More info: https://sharc-data.github.io/index.html
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Add Facebook SimpleQuestionV2
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[ "I think @thomwolf may also be working on this one as part of the Babi benchmark in #945 " ]
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MEMBER
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Add simple questions v2: https://research.fb.com/downloads/babi/
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Add GoEmotions
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[ "Whoops, didn't mean for that to be merged yet (my bad). I'm reaching out to the authors since we'd like their feedback on the best way to have the `author` field anonymized or removed. Will send a patch once they get back to me." ]
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CONTRIBUTOR
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Adds the GoEmotions dataset, a nice emotion classification dataset with 27 (multi-)label annotations on reddit comments. Includes both a large raw version and a narrowed version with predefined train/test/val splits, which I've included as separate configs with the latter as a default. - Webpage/repo: https://github.com/google-research/google-research/tree/master/goemotions - Paper: https://arxiv.org/abs/2005.00547
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[ "merging since the CI is fixed on master" ]
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https://repo.sadilar.org/handle/20.500.12185/7/discover?filtertype_0=database&filtertype_1=title&filter_relational_operator_1=contains&filter_relational_operator_0=equals&filter_1=&filter_0=Monolingual+Text+Corpora%3A+Annotated&filtertype=project&filter_relational_operator=equals&filter=NCHLT+Text+II
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Add KorNLU
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[ "the CI error about `social_bias_frames` is fixed on master so it's fine", "created new [PR](https://github.com/huggingface/datasets/pull/1062)", "looks like this PR includes many changes to other files that the ones related to KorNLU\r\nCould you create another branch and another PR please ?", "Wow crazy timing", "hahahaha" ]
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Added Korean NLU datasets. The link to the dataset can be found [here](https://github.com/kakaobrain/KorNLUDatasets) and the paper can be found [here](https://arxiv.org/abs/2004.03289) **Note**: The MNLI tsv file is broken, so this code currently excludes the file. Please suggest other alternative if any @lhoestq - [x] Followed the instructions in CONTRIBUTING.md - [x] Ran the tests successfully - [x] Created the dummy data
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Dataset.map() turns tensors into lists?
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[ "A solution is to have the tokenizer return a list instead of a tensor, and then use `dataset_tok.set_format(type = 'torch')` to convert that list into a tensor. Still not sure if bug.", "It is expected behavior, you should set the format to `\"torch\"` as you mentioned to get pytorch tensors back.\r\nBy default datasets returns pure python objects." ]
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I apply `Dataset.map()` to a function that returns a dict of torch tensors (like a tokenizer from the repo transformers). However, in the mapped dataset, these tensors have turned to lists! ```import datasets import torch from datasets import load_dataset print("version datasets", datasets.__version__) dataset = load_dataset("snli", split='train[0:50]') def tokenizer_fn(example): # actually uses a tokenizer which does something like: return {'input_ids': torch.tensor([[0, 1, 2]])} print("First item in dataset:\n", dataset[0]) tokenized = tokenizer_fn(dataset[0]) print("Tokenized hyp:\n", tokenized) dataset_tok = dataset.map(tokenizer_fn, batched=False, remove_columns=['label', 'premise', 'hypothesis']) print("Tokenized using map:\n", dataset_tok[0]) print(type(tokenized['input_ids']), type(dataset_tok[0]['input_ids'])) dataset_tok = dataset.map(tokenizer_fn, batched=False, remove_columns=['label', 'premise', 'hypothesis']) print("Tokenized using map:\n", dataset_tok[0]) print(type(tokenized['input_ids']), type(dataset_tok[0]['input_ids'])) ``` The output is: ``` version datasets 1.1.3 Reusing dataset snli (/home/tom/.cache/huggingface/datasets/snli/plain_text/1.0.0/bb1102591c6230bd78813e229d5dd4c7fbf4fc478cec28f298761eb69e5b537c) First item in dataset: {'premise': 'A person on a horse jumps over a broken down airplane.', 'hypothesis': 'A person is training his horse for a competition.', 'label': 1} Tokenized hyp: {'input_ids': tensor([[0, 1, 2]])} Loading cached processed dataset at /home/tom/.cache/huggingface/datasets/snli/plain_text/1.0.0/bb1102591c6230bd78813e229d5dd4c7fbf4fc478cec28f298761eb69e5b537c/cache-fe38f449fe9ac46f.arrow Tokenized using map: {'input_ids': [[0, 1, 2]]} <class 'torch.Tensor'> <class 'list'> ``` Or am I doing something wrong?
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Add xitsonga ner corpus
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[ "Look like this PR includes changes to many other files than the ones related to xitsonga NER.\r\nCould you create another branch and another PR please ?" ]
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Add AMTTL Chinese Word Segmentation Dataset
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Add TSAC: Tunisian Sentiment Analysis Corpus
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github: https://github.com/fbougares/TSAC paper: https://www.aclweb.org/anthology/W17-1307/
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Add Big Patent dataset
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[ "Looks like this PR include changes about many other files than the ones related to big patent.\r\nCould you create another branch and another PR ?", "@lhoestq Just created a new PR here: https://github.com/huggingface/datasets/pull/1087" ]
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CONTRIBUTOR
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- More info on the dataset: https://evasharma.github.io/bigpatent/ - There's another raw version of the dataset available from tfds. However, they're quite large so I don't have the resources to fully test all the configs for that version yet. We'll try to add it later. - ~Currently, there are no dummy data for this dataset yet as I'm facing some problems with generating them. I'm trying to add them later.~
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Add SuperGLUE metric
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Adds a new metric for the SuperGLUE benchmark (similar to the GLUE benchmark metric).
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Add UN Universal Declaration of Human Rights (UDHR)
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CONTRIBUTOR
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Universal declaration of human rights with translations in 464 languages and dialects. - UN page: https://www.ohchr.org/EN/UDHR/Pages/UDHRIndex.aspx - Raw data source: https://unicode.org/udhr/index.html Each instance of the dataset corresponds to one translation of the document. Since there's only one instance per language (and because there are 500 languages so the dummy data would be messy), I opted to just include them all under the same single config. I wasn't able to find any kind of license so I just copied the copyright notice. I was pretty careful careful generating the language tags so they _should_ all be correct & consistent BCP-47 codes per the docs.
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Update ADD NEW DATASET
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This PR adds a couple of detail on cloning/rebasing the repo.
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add med_hop
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MEMBER
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This PR adds the MedHop dataset from the QAngaroo multi hop reading comprehension datasets More info: http://qangaroo.cs.ucl.ac.uk/index.html
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Fix docs indentation issues
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[ "is this an issue ?", "Yes @lhoestq, look at the docs site. For example, in https://huggingface.co/docs/datasets/add_dataset.html, look at the indentation in the code block under the sentence:\r\n> Here are the features of the SQuAD dataset for instance, which is taken from the squad dataset loading script:" ]
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MEMBER
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Replace tabs with spaces.
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Add PerSenT
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[ "looks like this PR contains changes in many other files than the ones for PerSenT\r\ncan you create another branch and another PR ?", "closing since #1142 was merged" ]
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CONTRIBUTOR
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Added [Person's SentimenT](https://stonybrooknlp.github.io/PerSenT/) dataset.
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add wiki_hop
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[ "Also the dummy data files are quite big (500KB)\r\nIf you could reduce that that would be nice (just look at the files inside and remove unecessary chunks of texts)\r\nin general dummy data are just a few KB and we suggest to not get higher than 50KB\r\n\r\nHaving light dummy data makes the repo faster to clone" ]
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This PR adds the WikiHop dataset from the QAngaroo multi hop reading comprehension datasets More info: http://qangaroo.cs.ucl.ac.uk/index.html
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add scb_mt_enth_2020
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CONTRIBUTOR
null
## scb-mt-en-th-2020: A Large English-Thai Parallel Corpus The primary objective of our work is to build a large-scale English-Thai dataset for machine translation. We construct an English-Thai machine translation dataset with over 1 million segment pairs, curated from various sources, namely news, Wikipedia articles, SMS messages, task-based dialogs, web-crawled data and government documents. Methodology for gathering data, building parallel texts and removing noisy sentence pairs are presented in a reproducible manner. We train machine translation models based on this dataset. Our models' performance are comparable to that of Google Translation API (as of May 2020) for Thai-English and outperform Google when the Open Parallel Corpus (OPUS) is included in the training data for both Thai-English and English-Thai translation. The dataset, pre-trained models, and source code to reproduce our work are available for public use.
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Add support for ".txm" format
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[ "Neat! Looks like you need a rebase and then should be good to go :) ", "Done, @yjernite, @lhoestq.", "If you agree, we could merge this.", "Hi ! yes sure :) can you just merge master into this branch before we merge ?", "Done @lhoestq " ]
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In dummy data generation, add support for XML-like ".txm" file format. Also support filenames with additional compression extension: ".txm.gz".
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IIT B English to Hindi machine translation dataset
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[ "Please note that this dataset is actually behind a form that one needs to fill. However, the link is direct. I'm not sure what should the approach be in this case.", "also pinging @thomwolf \r\nThe dataset webpage returns a form when trying to download the dataset (form here : http://www.cfilt.iitb.ac.in/iitb_parallel/dataset.html).\r\nHowever the url we get with the form can be used for the dataset script.\r\nShould we ask the authors or use the urls this way ?", "> also pinging @thomwolf\r\n> The dataset webpage returns a form when trying to download the dataset (form here : http://www.cfilt.iitb.ac.in/iitb_parallel/dataset.html).\r\n> However the url we get with the form can be used for the dataset script.\r\n> Should we ask the authors or use the urls this way ?\r\n\r\nI had discussion on this with @thomwolf . We have already sent email to author of this dataset.", "Hi @spatil6 !\r\nAny news from the authors ?", "IIT B folks will add this dataset to repo." ]
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Adding IIT Bombay English-Hindi Corpus dataset more info : http://www.cfilt.iitb.ac.in/iitb_parallel/
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add crows_pairs
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[ "looks good now :) wdyt @yjernite ?", "Looks good to merge for me, can edit the dataset card later if required. Merging" ]
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This PR adds CrowS-Pairs datasets. More info: https://github.com/nyu-mll/crows-pairs/ https://arxiv.org/pdf/2010.00133.pdf
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allegro_reviews dataset
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CONTRIBUTOR
null
- **Name:** *allegro_reviews* - **Description:** *Allegro Reviews is a sentiment analysis dataset, consisting of 11,588 product reviews written in Polish and extracted from Allegro.pl - a popular e-commerce marketplace. Each review contains at least 50 words and has a rating on a scale from one (negative review) to five (positive review).* - **Data:** *https://github.com/allegro/klejbenchmark-allegroreviews* - **Motivation:** *The KLEJ benchmark (Kompleksowa Lista Ewaluacji Językowych) is a set of nine evaluation tasks for the Polish language understanding.*
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Add PEC
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[ "I'm a bit frustrated now to get this right.", "Hey @zhongpeixiang!\r\nReally nice addition here!\r\n\r\nDid you officially joined the sprint by posting [on the forum thread](https://discuss.huggingface.co/t/open-to-the-community-one-week-team-effort-to-reach-v2-0-of-hf-datasets-library/2176) and joining our slack?\r\nI can't seem to find you there! Should I add you directly with your gmail address?", "> Hey @zhongpeixiang!\r\n> Really nice addition here!\r\n> \r\n> Did you officially joined the sprint by posting [on the forum thread](https://discuss.huggingface.co/t/open-to-the-community-one-week-team-effort-to-reach-v2-0-of-hf-datasets-library/2176) and joining our slack?\r\n> I can't seem to find you there! Should I add you directly with your gmail address?\r\n\r\nThank you for the invitation. This initiative is awesome. Sadly I’m occupied by my thesis writing this month. Good luck 🤗", "As you want @zhongpeixiang (I was maybe not clear but that just mean that by posting on the forum thread that you participated in the current event you will get a special gift (a tee-shirt) for the contribution that you have already done here :-) Nothing more to do)", "> As you want @zhongpeixiang (I was maybe not clear but that just mean that by posting on the forum thread that you participated in the current event you will get a special gift (a tee-shirt) for the contribution that you have already done here :-) Nothing more to do)\r\n\r\nOh, I misunderstood the post. I'm glad to join." ]
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CONTRIBUTOR
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A persona-based empathetic conversation dataset.
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Add ASSET dataset for text simplification evaluation
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[ "Nice, thanks @yjernite !!" ]
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Adding the ASSET dataset from https://github.com/facebookresearch/asset One config for the simplification data, one for the human ratings of quality. The README.md borrows from that written by @juand-r
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## Adding a Dataset - **Name:** *name of the dataset* - **Description:** *short description of the dataset (or link to social media or blog post)* - **Paper:** *link to the dataset paper if available* - **Data:** *link to the Github repository or current dataset location* - **Motivation:** *what are some good reasons to have this dataset* Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).
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