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https://api.github.com/repos/huggingface/datasets/issues/1254
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758,518,774
MDExOlB1bGxSZXF1ZXN0NTMzNjc5MTYy
1,254
Added WikiText-TL-39
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[ "looks like this PR also includes changes about another dataset `covid_qa_deepset`\r\n\r\nCould you create another branch and another PR that only includes the changes for the wikitext-tl-39 dataset ?" ]
2020-12-07T13:43:48Z
2020-12-08T16:00:58Z
2020-12-08T16:00:58Z
NONE
null
This PR adds the WikiText-TL-39 Filipino Language Modeling dataset. Paper: https://arxiv.org/abs/1907.00409 Repo: https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks
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add thainer
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2020-12-07T13:41:54Z
2020-12-08T14:44:49Z
2020-12-08T14:44:49Z
CONTRIBUTOR
null
ThaiNER (v1.3) is a 6,456-sentence named entity recognition dataset created from expanding the 2,258-sentence [unnamed dataset](http://pioneer.chula.ac.th/~awirote/Data-Nutcha.zip) by [Tirasaroj and Aroonmanakun (2012)](http://pioneer.chula.ac.th/~awirote/publications/). It is used to train NER taggers in [PyThaiNLP](https://github.com/PyThaiNLP/pythainlp). The NER tags are annotated by [Tirasaroj and Aroonmanakun (2012)]((http://pioneer.chula.ac.th/~awirote/publications/)) for 2,258 sentences and the rest by [@wannaphong](https://github.com/wannaphong/). The POS tags are done by [PyThaiNLP](https://github.com/PyThaiNLP/pythainlp)'s `perceptron` engine trained on `orchid_ud`. [@wannaphong](https://github.com/wannaphong/) is now the only maintainer of this dataset.
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758,511,388
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1,252
Add Naver sentiment movie corpus
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2020-12-07T13:33:45Z
2020-12-08T14:32:33Z
2020-12-08T14:21:37Z
CONTRIBUTOR
null
Supersedes #1168 > This PR adds the [Naver sentiment movie corpus](https://github.com/e9t/nsmc), a dataset containing Korean movie reviews from Naver, the most commonly used search engine in Korea. This dataset is often used to benchmark models on Korean NLP tasks, as seen in [this paper](https://www.aclweb.org/anthology/2020.lrec-1.199.pdf).
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1,251
Add Wiki Atomic Edits Dataset (43M edits)
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[ "@lhoestq fixed :)" ]
2020-12-07T13:23:08Z
2020-12-14T10:05:01Z
2020-12-14T10:05:00Z
MEMBER
null
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added Nergrit dataset
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2020-12-07T13:06:12Z
2020-12-08T14:33:29Z
2020-12-08T14:33:29Z
CONTRIBUTOR
null
Nergrit Corpus is a dataset collection for Indonesian Named Entity Recognition, Statement Extraction, and Sentiment Analysis. This PR is only for the Named Entity Recognition.
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Add doc2dial dataset
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[ "It not always practical to use nested `Sequence`. If you have troubles with sequence you can use lists instead. \r\n\r\nFor example\r\n```python\r\n\r\nfeatures=datasets.Features(\r\n {\r\n \"dial_id\": datasets.Value(\"string\"),\r\n \"doc_id\": datasets.Value(\"string\"),\r\n \"domain\": datasets.Value(\"string\"),\r\n \"turns\": [\r\n {\r\n \"turn_id\": datasets.Value(\"int32\"),\r\n \"role\": datasets.Value(\"string\"),\r\n \"da\": datasets.Value(\"string\"),\r\n \"reference\": [\r\n {\r\n \"keys\" : datasets.Value(\"string\"),\r\n \"values\": datasets.Value(\"string\"), \r\n }\r\n\r\n ],\r\n \"utterance\": datasets.Value(\"string\"),\r\n }\r\n ],\r\n }\r\n),\r\n```\r\n\r\nthis way `turns` will be a list of dict, and the \"reference\" key of `turns` will be a list of dict as well", "No problem thanks for all your help getting this to the final stages! Added .gitignore, removed .lock and applied the changes you asked for." ]
2020-12-07T12:39:09Z
2020-12-14T16:17:14Z
2020-12-14T16:17:14Z
CONTRIBUTOR
null
### Doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset v0.9 Once complete this will add the [Doc2dial](https://doc2dial.github.io/data.html) dataset from the generic data sets list.
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1,248
Update step-by-step guide about the dataset cards
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2020-12-07T12:12:12Z
2020-12-07T13:19:24Z
2020-12-07T13:19:23Z
MEMBER
null
Small update in the step-by-step guide about the dataset cards to indicate it can be created and completing while exploring the dataset.
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1,247
Adding indonlu dataset
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[ "looks like this PR includes changes about many files other than the ones for IndoNLU\r\nCould you create another branch and another PR please ?", "> looks like this PR includes changes about many files other than the ones for IndoNLU\r\n> Could you create another branch and another PR please ?\r\n\r\nOkay I'll make it" ]
2020-12-07T11:38:45Z
2020-12-08T14:11:50Z
2020-12-08T14:11:50Z
CONTRIBUTOR
null
IndoNLU benchmark is a collection of resources for training, evaluating, and analyzing natural language understanding systems for Bahasa Indonesia. It contains 12 datasets.
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MDExOlB1bGxSZXF1ZXN0NTMzNTk0NjIz
1,246
arXiv dataset added
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2020-12-07T11:20:23Z
2020-12-07T14:22:58Z
2020-12-07T14:22:58Z
CONTRIBUTOR
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758,411,233
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1,245
Add Google Turkish Treebank Dataset
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[ "Thanks for your contribution, @abhishekkrthakur. Are you still interested in adding this dataset?\r\n\r\nWe are removing the dataset scripts from this GitHub repo and moving them to the Hugging Face Hub: https://huggingface.co/datasets\r\n\r\nWe would suggest you create this dataset there. Please, feel free to tell us if you need some help." ]
2020-12-07T11:09:17Z
2022-10-03T09:39:32Z
2022-10-03T09:39:32Z
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arxiv dataset added
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2020-12-07T10:32:54Z
2020-12-07T11:04:23Z
2020-12-07T11:04:23Z
CONTRIBUTOR
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1,243
Add Google Noun Verb Dataset
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[ "Thanks for your contribution, @abhishekkrthakur. Are you still interested in adding this dataset?\r\n\r\nWe are removing the dataset scripts from this GitHub repo and moving them to the Hugging Face Hub: https://huggingface.co/datasets\r\n\r\nWe would suggest you create this dataset there. Please, feel free to tell us if you need some help." ]
2020-12-07T10:26:05Z
2022-10-03T09:39:37Z
2022-10-03T09:39:37Z
MEMBER
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758,370,579
MDExOlB1bGxSZXF1ZXN0NTMzNTU0MzAx
1,242
adding bprec
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[ "looks like this PR includes changes to many files other than the ones related to bprec\r\nCan you create another branch and another PR please ?", "> looks like this PR includes changes to many files other than the ones related to bprec\r\n> Can you create another branch and another PR please ?\r\n\r\nYes, I realized I messed this one up, learning my way :) I'll close this one and open another hopefully clean PR :) Thanks!" ]
2020-12-07T10:15:49Z
2020-12-08T14:33:49Z
2020-12-08T14:33:48Z
CONTRIBUTOR
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Opus elhuyar dataset for MT task having languages pair in Spanish to Basque
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2020-12-07T10:03:34Z
2020-12-19T14:55:12Z
2020-12-09T15:12:48Z
CONTRIBUTOR
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Opus elhuyar dataset for MT task having languages pair in Spanish to Basque More info : http://opus.nlpl.eu/Elhuyar.php
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Multi Domain Sentiment Analysis Dataset (MDSA)
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[ "can you also run `make style` to format the code ?", "I'll come back to this one in sometime :) @lhoestq ", "Also if you would use `xml.etree.ElementTree` to parse the XML it would be awesome, because right now you're using an external dependency `xmltodict `", "> Also if you would use xml.etree.ElementTree to parse the XML it would be awesome, because right now you're using an external dependency xmltodict\r\n\r\nIts pseudo xml so elementtree fails. xmltodict seems to be working quite good for this. do we have examples of pseudo xml datasets?", "for the other pseudo xml the text is parsed manually", "Can you add `xmltodict` to the test dependencies in setup.py please to fix the CI please ?", "Also can you add the dataset card with the tags and run `make style` ?", "Hi :) have you had a chance to fix the test dependency and apply `make style` ?\r\n\r\nFeel fee to ping me when it's ready for a review", "Thanks for your contribution, @abhishekkrthakur. Are you still interested in adding this dataset?\r\n\r\nWe are removing the dataset scripts from this GitHub repo and moving them to the Hugging Face Hub: https://huggingface.co/datasets\r\n\r\nWe would suggest you create this dataset there. Please, feel free to tell us if you need some help." ]
2020-12-07T09:57:15Z
2022-10-03T09:39:43Z
2022-10-03T09:39:43Z
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758,339,593
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1,239
add yelp_review_full dataset
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[ "Moved to https://github.com/huggingface/datasets/pull/1315" ]
2020-12-07T09:35:36Z
2020-12-08T15:43:24Z
2020-12-08T15:00:50Z
CONTRIBUTOR
null
This corresponds to the Yelp-5 requested in https://github.com/huggingface/datasets/issues/353
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1,238
adding poem_sentiment
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2020-12-07T09:11:52Z
2020-12-09T16:36:10Z
2020-12-09T16:02:45Z
MEMBER
null
Adding poem_sentiment dataset. https://github.com/google-research-datasets/poem-sentiment
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758,318,353
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1,237
Add AmbigQA dataset
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2020-12-07T09:07:19Z
2020-12-08T13:38:52Z
2020-12-08T13:38:52Z
CONTRIBUTOR
null
# AmbigQA: Answering Ambiguous Open-domain Questions Dataset Adding the [AmbigQA](https://nlp.cs.washington.edu/ambigqa/) dataset as part of the sprint 🎉 (from Open dataset list for Dataset sprint) Added both the light and full versions (as seen on the dataset homepage) The json format changes based on the value of one 'type' field, so I set the unavailable field to an empty list. This is explained in the README -> Data Fields ```py train_light_dataset = load_dataset('./datasets/ambig_qa',"light",split="train") val_light_dataset = load_dataset('./datasets/ambig_qa',"light",split="validation") train_full_dataset = load_dataset('./datasets/ambig_qa',"full",split="train") val_full_dataset = load_dataset('./datasets/ambig_qa',"full",split="validation") for example in train_light_dataset: for i,t in enumerate(example['annotations']['type']): if t =='singleAnswer': # use the example['annotations']['answer'][i] # example['annotations']['qaPairs'][i] - > is [] print(example['annotations']['answer'][i]) else: # use the example['annotations']['qaPairs'][i] # example['annotations']['answer'][i] - > is [] print(example['annotations']['qaPairs'][i]) ``` - [x] All tests passed - [x] Added dummy data - [x] Added data card (as much as I could)
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1,236
Opus finlex dataset of language pair Finnish and Swedish
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2020-12-07T07:53:57Z
2020-12-08T13:30:33Z
2020-12-08T13:30:33Z
CONTRIBUTOR
null
Added Opus_finlex dataset of language pair Finnish and Swedish More info : http://opus.nlpl.eu/Finlex.php
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1,235
Wino bias
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[ "Closing this PR because of messed up history and opening another one after discussion with Quentin Lhoest.\r\n" ]
2020-12-07T07:12:42Z
2020-12-10T20:48:12Z
2020-12-10T20:48:01Z
CONTRIBUTOR
null
The PR will fail circleCi tests because of the requirement of manual loading of data. Fresh PR because of messed up history of the previous one.
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Added ade_corpus_v2, with 3 configs for relation extraction and classification task
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[ "@lhoestq I have added the tags they are in separate files for 3 different configs", "@lhoestq thanks for the review I added your suggested changes.", "merging since the CI is fixed on master" ]
2020-12-07T07:05:14Z
2020-12-14T17:49:14Z
2020-12-14T17:49:14Z
CONTRIBUTOR
null
Adverse Drug Reaction Data: ADE-Corpus-V2 dataset added configs for different tasks with given data
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Add Curiosity Dialogs Dataset
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[ "@lhoestq I tried manually creating the dummy files. But unfortunately it was raising an error during testing the dummy data (regarding JSON parsing).\r\n\r\nThe JSONs are pretty big so I cannot actually open it without crashing the text editor.\r\n\r\n Do you have any suggestions?", "@lhoestq I have made all the changes you mentioned." ]
2020-12-07T06:01:00Z
2020-12-20T13:34:09Z
2020-12-09T14:50:29Z
CONTRIBUTOR
null
Add Facebook [Curiosity Dialogs](https://github.com/facebookresearch/curiosity) Dataset.
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Add Grail QA dataset
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2020-12-07T05:46:45Z
2020-12-08T13:03:19Z
2020-12-08T13:03:19Z
CONTRIBUTOR
null
For more information: https://dki-lab.github.io/GrailQA/
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1,231
Add Urdu Sentiment Corpus (USC)
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2020-12-07T03:25:20Z
2020-12-07T18:05:16Z
2020-12-07T16:43:23Z
CONTRIBUTOR
null
@lhoestq opened a clean PR containing only relevant files. old PR #1140
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758,119,342
MDExOlB1bGxSZXF1ZXN0NTMzMzQxNTg0
1,230
Add Urdu fake news dataset
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null
[ "merging since the CI is fixed on master" ]
2020-12-07T03:19:50Z
2020-12-07T18:04:55Z
2020-12-07T16:57:54Z
CONTRIBUTOR
null
@lhoestq opened a clean PR containing only relevant files. old PR #1125
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758,100,707
MDExOlB1bGxSZXF1ZXN0NTMzMzI2OTgw
1,229
Muchocine - Spanish movie reviews dataset
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[ "Hi @mapmeld !\r\nhave you had a chance to take a look at my suggestions ?\r\n\r\nFeel free to ping me if you have questions or when you're ready for a review", "@lhoestq unfortunately I don't have any more information about where the dataset comes from", "It's fine, you can just add the sections titles back and leave the content with `[More Information Needed]`\r\n\r\n", "added missing sections, updated the Python code ✅ " ]
2020-12-07T02:23:29Z
2020-12-21T10:09:09Z
2020-12-21T10:09:09Z
CONTRIBUTOR
null
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758,049,068
MDExOlB1bGxSZXF1ZXN0NTMzMjg1ODI2
1,228
add opus_100 dataset
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null
[ "done." ]
2020-12-06T23:17:24Z
2020-12-09T14:54:00Z
2020-12-09T14:54:00Z
CONTRIBUTOR
null
This PR will add [opus100 dataset](http://opus.nlpl.eu/opus-100.php).
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758,049,060
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1,227
readme: remove link to Google's responsible AI practices
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2020-12-06T23:17:22Z
2020-12-07T08:35:19Z
2020-12-06T23:20:41Z
CONTRIBUTOR
null
...maybe we'll find a company that reallly stands behind responsible AI practices ;)
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758,036,979
MDExOlB1bGxSZXF1ZXN0NTMzMjc2OTU3
1,226
Add menyo_20k_mt dataset
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[ "looks like your PR includes changes about many other files than the ones for menyo 20k mt\r\nCan you create another branch and another PR please ?", "Yes, I will" ]
2020-12-06T22:16:15Z
2020-12-10T19:22:14Z
2020-12-10T19:22:14Z
CONTRIBUTOR
null
Add menyo_20k_mt dataset
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758,035,501
MDExOlB1bGxSZXF1ZXN0NTMzMjc1ODcx
1,225
Add Winobias dataset
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[ "Will make another pull request with cleaner history" ]
2020-12-06T22:08:20Z
2020-12-07T06:45:59Z
2020-12-07T06:40:50Z
CONTRIBUTOR
null
Pardon me for different commits with same message. There were conflicts after I rebased master while simultaneously pushing my changes to local repo, hence the duplicate entries.
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1,224
adding conceptnet5
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[ "Thank you. I'll make those changes. but I'm having problems trying to push my changes to my fork\r\n", "Hi, I've removed the TODO, and added a README.md. How do I push these changes?\r\n", "Also, what docstring are you recommending?\r\n", "> Hi, I've removed the TODO, and added a README.md. How do I push these changes?\r\n\r\nyou can just commit and push your changes to the same branch as your first commit.", "@ghomasHudson I've tried it but still getting code quality error. I've removed all blank lines, etc. required by flake8. Don't know what else to do", "> @ghomasHudson I've tried it but still getting code quality error. I've removed all blank lines, etc. required by flake8. Don't know what else to do\r\n\r\nDid you run `make style` before committing? When I run it, it fixes some things (e.g. Splitting line 96 which is currently too long).", "I think @yjernite is looking into this. I did \"make style\" but nothing happens", "looks like your PR includes changes about many other files than the ones related to conceptnet5\r\n\r\ncould you create another branch and another PR please ?", "@lhoestq I'm not sure what I did wrong. What did I push that wasn't conceptnet5? How do I see this?\r\n\r\n did this\r\n\r\nmake style\r\nflake8 datasets\r\ngit add datasets/<your_dataset_name>\r\ngit commit\r\ngit fetch upstream\r\ngit rebase upstream/master\r\ngit pull\r\ngit push -u origin conceptnet5", "Thanks for rebasing and force push :) ", "Yeah! Thank you @lhoestq, @ghomasHudson and @yjernite !" ]
2020-12-06T21:06:53Z
2020-12-09T16:38:16Z
2020-12-09T14:37:17Z
CONTRIBUTOR
null
Adding the conceptnet5 and omcs txt files used to create the conceptnet5 dataset. Conceptne5 is a common sense dataset. More info can be found here: https://github.com/commonsense/conceptnet5/wiki
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1,223
🇸🇪 Added Swedish Reviews dataset for sentiment classification in Sw…
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2020-12-06T21:02:54Z
2020-12-08T10:54:56Z
2020-12-08T10:54:56Z
CONTRIBUTOR
null
perhaps: @lhoestq 🤗
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758,018,953
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1,222
Add numeric fused head dataset
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[ "> Thanks for adding this @ghomasHudson!\r\n> I added some comments for some of the fields.\r\n> \r\n> Also, I'm not sure about this since I haven't used the library yet, but maybe it's worth adding the identification and resolution as two separate datasets?\r\n\r\nThanks for replying @yanaiela - I hope this will make your dataset more accessible to a wider audience - I've added the changes to the model card you suggested.\r\n\r\nIn terms of the identification and resolution tasks, I've currently added them as separate `splits` in huggingface/datasets so you can load identification like this:\r\n\r\n```\r\nimport datasets\r\ndataset = datasets.load_dataset(\"numeric_fused_head\", \"identification\")\r\nprint(dataset[\"train\"][0])\r\n>> {\"tokens\": [\"The\", \"quick\", \"brown\", \"fox\",....], \"start_index\": 11, \"end_index\": 12, \"label\": 0}\r\n```\r\nAnd resolution like this:\r\n\r\n```\r\nimport datasets\r\ndataset = datasets.load_dataset(\"numeric_fused_head\", \"resolution\")\r\nprint(dataset[\"train\"][0])\r\n>> {\"tokens\": [\"The\", \"quick\", \"brown\", \"fox\",....], \"head\": [\"AGE\"], \"anchors_indices\": [12], ...}\r\n```", "I hope so too, thanks!\r\n\r\nRe the splits, that makes sense to me." ]
2020-12-06T20:46:53Z
2020-12-08T11:17:56Z
2020-12-08T11:17:55Z
CONTRIBUTOR
null
Adding the [NFH: Numeric Fused Head](https://nlp.biu.ac.il/~lazary/fh/) dataset. Everything looks sensible and I've included both the identification and resolution tasks. I haven't personally used this dataset in my research so am unable to specify what the default configuration / supervised keys should be. I've filled out the basic info on the model card to the best of my knowledge but it's a little tricky to understand exactly what the fields represent. Dataset author: @yanaiela
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1,221
Add HKCanCor
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2020-12-06T20:32:07Z
2020-12-09T16:34:18Z
2020-12-09T16:34:18Z
CONTRIBUTOR
null
This PR adds the [Hong Kong Cantonese Corpus](http://compling.hss.ntu.edu.sg/hkcancor/), by [Luke and Wong 2015](http://compling.hss.ntu.edu.sg/hkcancor/data/LukeWong_Hong-Kong-Cantonese-Corpus.pdf). The dummy data included here was manually created, as the original dataset uses a xml-like format (see a copy hosted [here](https://github.com/fcbond/hkcancor/blob/master/sample/d1_v.txt) for example) that requires a few processing steps.
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1,220
add Korean HateSpeech dataset
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[ "It looks like you forgot to `make style` (I forget it a lot too 🤦 )\r\n+ add dummy data", "hi @cceyda 👋, thanks for the hint! it looks like i've run into some other errors though in `_split_generators` or `_generate_examples`. do you have any idea of what's wrong here? 😅", "I get the same errors on another pr too, so it probably has something to do with circleci, waiting on help.", "the `RemoteDatasetTest ` error on the CI is fixed on master so it's fine", "merging since the CI is fixed on master" ]
2020-12-06T20:31:29Z
2020-12-08T15:21:09Z
2020-12-08T11:05:42Z
MEMBER
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758,013,368
MDExOlB1bGxSZXF1ZXN0NTMzMjU5NzMw
1,219
Add Korean NER dataset
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2020-12-06T20:19:06Z
2021-12-29T00:50:59Z
2020-12-08T10:25:33Z
CONTRIBUTOR
null
Supersedes #1177 > This PR adds the [Korean named entity recognition dataset](https://github.com/kmounlp/NER). This dataset has been used in many downstream tasks, such as training [KoBERT](https://github.com/SKTBrain/KoBERT) for NER, as seen in this [KoBERT-CRF implementation](https://github.com/eagle705/pytorch-bert-crf-ner).
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1,218
Add WMT20 MLQE 3 shared tasks
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[ "Thanks for the comments Quentin!\r\nI integrated them", "It should be ok now!\r\nSorry I wasn't attentive enough.\r\n(tests are currently failing, I understand it's from other datasets)", "merging since the CI is fixed on master" ]
2020-12-06T19:59:12Z
2020-12-15T15:27:30Z
2020-12-15T15:27:29Z
MEMBER
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3 tasks for the WMT 20 MLQE shared tasks -> 3 different datasets (I re-created #1137 because it was too messy). Note that in L199 `task3.py`, I used `logging.warning` to print some missing data in the train set.
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adding DataCommons fact checking
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2020-12-06T19:56:12Z
2020-12-16T16:22:48Z
2020-12-16T16:22:48Z
MEMBER
null
Adding the data from: https://datacommons.org/factcheck/ Had to cheat a bit with the dummy data as the test doesn't recognize `.txt.gz`: had to rename uncompressed files with the `.gz` extension manually without actually compressing
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1,216
Add limit
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[ "My bad, didn't see this on the open dataset list. Closing this since it overlaps with PR#1256" ]
2020-12-06T19:46:18Z
2020-12-08T07:52:11Z
2020-12-08T07:52:11Z
CONTRIBUTOR
null
This PR adds [LiMiT](https://github.com/ilmgut/limit_dataset), a dataset for literal motion classification/extraction by [Manotas et al., 2020](https://www.aclweb.org/anthology/2020.findings-emnlp.88.pdf).
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758,002,885
MDExOlB1bGxSZXF1ZXN0NTMzMjUyNjUx
1,215
Add irc disentanglement
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[ "looks like this PR includes changes about many files other than the ones for irc_disentanglement\r\n\r\nCould you please create a new branch and create another PR please ?", "closing in favor of #1586 " ]
2020-12-06T19:30:46Z
2020-12-16T16:18:25Z
2020-12-16T16:18:25Z
CONTRIBUTOR
null
added files for irc disentanglement dataset was unable to test dummy data as a result of vpn/proxy issues
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MDExOlB1bGxSZXF1ZXN0NTMzMjUyNTgx
1,214
adding medical-questions-pairs dataset
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2020-12-06T19:30:12Z
2020-12-09T14:42:53Z
2020-12-09T14:42:53Z
CONTRIBUTOR
null
This dataset consists of 3048 similar and dissimilar medical question pairs hand-generated and labeled by Curai's doctors. Dataset : https://github.com/curai/medical-question-pair-dataset Paper : https://drive.google.com/file/d/1CHPGBXkvZuZc8hpr46HeHU6U6jnVze-s/view
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1,213
add taskmaster3
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[ "(you were unlucky, my rule of thumb for reducing the dummy data is to check whether they're above 50KB and you're at 52KB ^^')", "> (you were unlucky, my rule of thumb for reducing the dummy data is to check whether they're above 50KB and you're at 52KB ^^')\r\n\r\nOops :(\r\n\r\nThanks for the suggestion, will reduce the size" ]
2020-12-06T17:56:03Z
2020-12-09T11:05:10Z
2020-12-09T11:00:29Z
MEMBER
null
Adding Taskmaster-3 dataset https://github.com/google-research-datasets/Taskmaster/tree/master/TM-3-2020. The dataset structure almost same as original dataset with these two changes 1. In original dataset, each `apis` has a `args` filed which is a `dict` with variable keys, which represent the name and value of the args. Here converted that to a `list` of `dict` with keys `arg_name` and `arg_value`. For ex. ```python args = {"name.movie": "Mulan", "name.theater": ": "Mountain AMC 16"} ``` becomes ```python [ { "arg_name": "name.movie", "arg_value": "Mulan" }, { "arg_name": "name.theater", "arg_value": "Mountain AMC 16" } ] ``` 2. Each `apis` has a `response` which is also a `dict` with variable keys representing response name/type and it's value. As above converted it to `list` of `dict` with keys `response_name` and `response_value`.
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757,978,795
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1,212
Add Sanskrit Classic texts in datasets
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[ "merging since the CI is fixed on master" ]
2020-12-06T17:31:31Z
2020-12-07T19:04:08Z
2020-12-07T19:04:08Z
CONTRIBUTOR
null
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1,211
Add large spanish corpus
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2020-12-06T17:06:50Z
2020-12-09T13:36:36Z
2020-12-09T13:36:36Z
MEMBER
null
Adds a collection of Spanish corpora that can be useful for pretraining language models. Following a nice suggestion from @yjernite we provide the user with three main ways to preprocess / load either * the whole corpus (17GB!) * one specific sub-corpus * the whole corpus, but return a single split. this is useful if you want to cache the whole preprocessing step once and interact with individual sub-corpora See the dataset card for more details. Ready for review!
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1,210
Add XSUM Hallucination Annotations Dataset
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[ "@lhoestq All necessary modifications have been done." ]
2020-12-06T16:40:19Z
2020-12-20T13:34:56Z
2020-12-16T16:57:11Z
CONTRIBUTOR
null
Adding Google [XSum Hallucination Annotations](https://github.com/google-research-datasets/xsum_hallucination_annotations) dataset.
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757,965,934
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1,209
[AfriBooms] Dataset exists already
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[ "It's so cool seeing all these datasets fly by and see how they are still of interest. I did my internship at the research group of Liesbeth Augustinus et al. They're a very kind group of people!", "merging since the CI is fixed on master" ]
2020-12-06T16:35:13Z
2020-12-07T16:52:24Z
2020-12-07T16:52:23Z
MEMBER
null
When trying to add "AfriBooms": https://docs.google.com/spreadsheets/d/12ShVow0M6RavnzbBEabm5j5dv12zBaf0y-niwEPPlo4/edit#gid=1386399609 I noticed that the dataset exists already as a config of Universal Dependencies (universal_dependencies.py). I checked and the data exactly matches so that the new data link does not give any new data. This PR improves the config's description a bit by linking to the paper.
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Add HKCanCor
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2020-12-06T16:14:43Z
2020-12-06T20:23:17Z
2020-12-06T20:21:54Z
CONTRIBUTOR
null
(Apologies, didn't manage the branches properly and the PR got too messy. Going to open a new PR with everything in order)
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1,207
Add msr_genomics_kbcomp Dataset
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2020-12-06T15:40:05Z
2020-12-07T15:55:17Z
2020-12-07T15:55:11Z
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null
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757,952,992
MDExOlB1bGxSZXF1ZXN0NTMzMjE2NDYw
1,206
Adding Enriched WebNLG dataset
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[ "Nice :) \r\n\r\ncould you add the tags and also remove all the dummy data files that are not zipped ? The diff currently shows 800 files changes xD", "Aaaaand it's rebase time - the new one is at #1264 !", "closing this one since a new PR was created" ]
2020-12-06T15:36:20Z
2020-12-09T09:40:32Z
2020-12-09T09:40:32Z
MEMBER
null
This pull requests adds the `en` and `de` versions of the [Enriched WebNLG](https://github.com/ThiagoCF05/webnlg) dataset
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1,205
add lst20 with manual download
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[ "The pytest suite doesn't allow manual downloads so we just make sure that the `datasets-cli test` command to run without errors instead", "@lhoestq Changes made. Thank you for the review. I've made some same mistakes for https://github.com/huggingface/datasets/pull/1253 too. Will fix them before review." ]
2020-12-06T14:49:10Z
2020-12-09T16:33:10Z
2020-12-09T16:33:10Z
CONTRIBUTOR
null
passed on local: ``` RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_lst20 ``` Not sure how to test: ``` RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_real_dataset_lst20 ``` ``` LST20 Corpus is a dataset for Thai language processing developed by National Electronics and Computer Technology Center (NECTEC), Thailand. It offers five layers of linguistic annotation: word boundaries, POS tagging, named entities, clause boundaries, and sentence boundaries. At a large scale, it consists of 3,164,002 words, 288,020 named entities, 248,181 clauses, and 74,180 sentences, while it is annotated with 16 distinct POS tags. All 3,745 documents are also annotated with one of 15 news genres. Regarding its sheer size, this dataset is considered large enough for developing joint neural models for NLP. Manually download at https://aiforthai.in.th/corpus.php ```
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757,939,475
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1,204
adding meta_woz dataset
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2020-12-06T14:34:13Z
2020-12-16T15:05:25Z
2020-12-16T15:05:24Z
CONTRIBUTOR
null
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757,935,170
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1,203
Add Neural Code Search Dataset
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[ "> Really good thanks !\r\n> \r\n> I left a few comments\r\n\r\nThanks, resolved them :) ", "looks like this PR includes changes about many other files than the ones for Code Search\r\n\r\ncan you create another branch and another PR please ?", "> looks like this PR includes changes about many other files than the ones for Code Search\r\n> \r\n> can you create another branch and another PR please ?\r\n\r\nOkay sure" ]
2020-12-06T14:12:39Z
2020-12-09T16:40:15Z
2020-12-09T16:40:15Z
CONTRIBUTOR
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1,202
Medical question pairs
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2020-12-06T14:09:07Z
2020-12-06T17:41:28Z
2020-12-06T17:41:28Z
CONTRIBUTOR
null
This dataset consists of 3048 similar and dissimilar medical question pairs hand-generated and labeled by Curai's doctors. Dataset : https://github.com/curai/medical-question-pair-dataset Paper : https://drive.google.com/file/d/1CHPGBXkvZuZc8hpr46HeHU6U6jnVze-s/view **No splits added**
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adding medical-questions-pairs
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2020-12-06T13:36:52Z
2020-12-06T13:39:44Z
2020-12-06T13:39:32Z
CONTRIBUTOR
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Update ADD_NEW_DATASET.md
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2020-12-06T13:31:32Z
2020-12-07T08:32:39Z
2020-12-07T08:32:39Z
CONTRIBUTOR
null
Windows needs special treatment again: unfortunately adding `torch` to the requirements does not work well (crashing the installation). Users should first install torch manually and then continue with the other commands. This issue arises all the time when adding torch as a dependency, but because so many novice users seem to participate in adding datasets, it may be useful to add an explicit note for Windows users to ensure that they do not run into issues.
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1,199
Turkish NER dataset, script works fine, couldn't generate dummy data
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[ "the .DUMP file looks like a txt with one example per line so adding `--match_text_files *.DUMP --n_lines 50` to the dummy generation command might work .", "We can close this PR since a new PR was open at #1268 " ]
2020-12-06T12:00:03Z
2020-12-16T16:13:24Z
2020-12-16T16:13:24Z
CONTRIBUTOR
null
I've written the script (Turkish_NER.py) that includes dataset. The dataset is a zip inside another zip, and it's extracted as .DUMP file. However, after preprocessing I only get .arrow file. After I ran the script with no error messages, I get .arrow file of dataset, LICENSE and dataset_info.json.
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Add ALT
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[ "the `RemoteDatasetTest ` erros in the CI are fixed on master so it's fine", "used `Translation ` feature type and fixed few typos as you suggested.", "Sorry, I made a mistake. please see new PR here. https://github.com/huggingface/datasets/pull/1436" ]
2020-12-06T11:25:30Z
2020-12-10T04:18:12Z
2020-12-10T04:18:12Z
CONTRIBUTOR
null
ALT dataset -- https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/
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add taskmaster-2
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2020-12-06T11:05:18Z
2020-12-07T15:22:43Z
2020-12-07T15:22:43Z
MEMBER
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Adding taskmaster-2 dataset. https://github.com/google-research-datasets/Taskmaster/tree/master/TM-2-2020
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757,894,920
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1,196
Add IWSLT'15 English-Vietnamese machine translation Data
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[ "Thanks ! feel free to ping me once you've added the tags in the dataset card :) ", "merging since the CI is fixed on master" ]
2020-12-06T10:36:31Z
2020-12-11T18:26:51Z
2020-12-11T18:26:51Z
CONTRIBUTOR
null
Preprocessed Dataset from IWSLT'15 English-Vietnamese machine translation: English-Vietnamese. from https://nlp.stanford.edu/projects/nmt/data/iwslt15.en-vi/
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addition of py_ast
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[ "Hi @reshinthadithyan !\r\n\r\nAs mentioned on the Slack, it would be better in this case to parse the file lines into the following feature structure:\r\n```python\r\n\"ast\": datasets.Sequence(\r\n {\r\n \"type\": datasets.Value(\"string\"),\r\n \"value\": datasets.Value(\"string\"),\r\n \"children\": datasets.Sequence(datasets.Value(\"int32\")),\r\n },\r\n)\r\n```\r\n\r\nHere are a few more things to fix before we can move forward:\r\n- the class name needs to be the CamelCase equivalent of the script name, so here it will have to be `PyAst`\r\n- the `README.md` needs to have the tags at the top\r\n- The homepage/info list at the top should be in the same format as the template (added a suggestion)\r\n- You should add the dataset tags and field description to the README as described here: https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md#tag-the-dataset-and-write-the-dataset-card\r\n\r\nGood luck, let us know if you need any help!", "Hello @yjernite, changes have been made as we talked. Hope this would suffice. Thanks. Feel free to point out any room to improvement.", "Good progress! Here's what still needs to be done:\r\n- first, you need to rebase to master for the tests to pass :)\r\n- the information in your `Data Fields` paragraph should go into `Data Instances`. Data fields should describe the fields one by one, as in e.g. https://github.com/huggingface/datasets/tree/master/datasets/eli5#data-fields\r\n- you still need to add the YAML tags obtained with the tagging app\r\n\r\nShould be good to go after that!", "Hello @yjernite, changes as talked are being done.", "Looks like this PR includes changes about many other files than the ones for py_ast\r\n\r\nCould you create another branch and another PR please ?" ]
2020-12-06T10:00:52Z
2020-12-08T06:19:24Z
2020-12-08T06:19:24Z
CONTRIBUTOR
null
The dataset consists of parsed Parsed ASTs that were used to train and evaluate the DeepSyn tool. The Python programs are collected from GitHub repositories by removing duplicate files, removing project forks (copy of another existing repository) ,keeping only programs that parse and have at most 30'000 nodes in the AST and we aim to remove obfuscated files
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Add msr_text_compression
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[ "the `RemoteDatasetTest ` error in the CI is fixed on master so it's fine" ]
2020-12-06T09:06:11Z
2020-12-09T10:53:45Z
2020-12-09T10:53:45Z
CONTRIBUTOR
null
Add [MSR Abstractive Text Compression Dataset](https://msropendata.com/datasets/f8ce2ec9-7fbd-48f7-a8bb-2d2279373563)
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2020-12-06T04:09:57Z
2020-12-07T15:23:24Z
2020-12-07T15:08:39Z
MEMBER
null
Adding Taskmaster-1 dataset https://github.com/google-research-datasets/Taskmaster/tree/master/TM-1-2019
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Add NewsPH_NLI dataset
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2020-12-06T04:00:31Z
2020-12-07T15:39:43Z
2020-12-07T15:39:43Z
CONTRIBUTOR
null
This PR adds the NewsPH-NLI Dataset, the first benchmark dataset for sentence entailment in the low-resource Filipino language. Constructed through exploting the structure of news articles. Contains 600,000 premise-hypothesis pairs, in 70-15-15 split for training, validation, and testing. Link to the paper: https://arxiv.org/pdf/2010.11574.pdf Link to the dataset/repo: https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks
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757,836,654
MDExOlB1bGxSZXF1ZXN0NTMzMTMyNTg1
1,191
Added Translator Human Parity Data For a Chinese-English news transla…
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[ "Can you run `make style` to format the code and fix the CI please ?", "> Can you run `make style` to format the code and fix the CI please ?\r\n\r\nI ran `make style` before this PR and just a few minutes ago. No changes to the code. Not sure why the CI is failing.", "Also, I attempted to see if I can get the source Chinese sentences from `wmt17` dataset. But this call `data = load_dataset('wmt17', \"zh-en\")` failed with this error: `FileNotFoundError: Couldn't find file at https://storage.googleapis.com/tfdataset-data/downloadataset/uncorpus/UNv1.0.en-zh.tar.gz`. I think it should be possible and fairly straightforward to get the pairing source sentences from it. I just can not test it right now.", "The `RemoteDatasetTest ` errors in the CI are fixed on master so it's fine", "merging since the CI is fixed on master" ]
2020-12-06T03:34:13Z
2020-12-09T13:22:45Z
2020-12-09T13:22:45Z
CONTRIBUTOR
null
…tion system from Open dataset list for Dataset sprint, Microsoft Datasets tab.
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757,833,698
MDExOlB1bGxSZXF1ZXN0NTMzMTMwNTM0
1,190
Add Fake News Detection in Filipino dataset
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[ "Hi! I'm the author of this paper (surprised to see our datasets have been added already).\r\n\r\nThat paper link only leads to the conference index, here's a link to the actual paper: https://www.aclweb.org/anthology/2020.lrec-1.316/\r\n\r\nWould it be fine if I also edited your gsheet entry to reflect this change?", "Hi Jan, please go ahead and update. I see you are also in the sprint slack channel. Let me know if what else needs updating. Thanks.\r\n" ]
2020-12-06T03:12:15Z
2020-12-07T15:39:27Z
2020-12-07T15:39:27Z
CONTRIBUTOR
null
This PR adds the Fake News Filipino Dataset, a low-resource fake news detection corpora in Filipino. Contains 3,206 expertly-labeled news samples, half of which are real and half of which are fake. Link to the paper: http://www.lrec-conf.org/proceedings/lrec2020/index.html Link to the dataset/repo: https://github.com/jcblaisecruz02/Tagalog-fake-news
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757,831,035
MDExOlB1bGxSZXF1ZXN0NTMzMTI4NjY1
1,189
Add Dengue dataset in Filipino
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2020-12-06T02:50:47Z
2020-12-07T15:38:58Z
2020-12-07T15:38:58Z
CONTRIBUTOR
null
This PR adds the Dengue Dataset, a benchmark dataset for low-resource multiclass classification, with 4,015 training, 500 testing, and 500 validation examples, each labeled as part of five classes. Each sample can be a part of multiple classes. Collected as tweets. Link to the paper: https://ieeexplore.ieee.org/document/8459963 Link to the dataset/repo: https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks
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757,827,407
MDExOlB1bGxSZXF1ZXN0NTMzMTI2MTcw
1,188
adding hind_encorp dataset
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[ "help needed in dummy data", "extension of the file is .plaintext so dummy data generation is failing\r\n", "you can add the `--match_text_file \"*.plaintext\"` flag when generating the dummy data\r\n\r\nalso it looks like the PR is empty, is this expected ?", "yes it is expected because I made all my changes in PR #1186 then I again run code and open PR #1188 to see if this time test passes or not only so there is no code change from #1186 to #1188 \r\ni tried --match_text_file \"*.plaintext\" this time it is also not generating dummy data don't know why", "well this PR includes no code change at all, can you make sure you added your changes in this one ?", "feel free to ping me when you have added the files so I can take a look and help you with the dummy data", "how to do that i dont know did i have to open new PR\r\n", " actually all my changes are visible in #1186 but don't know how to show same changes here", "these are a the which i did in #1186 and same in #1188 \r\n![1](https://user-images.githubusercontent.com/56379013/101646577-b4864500-3a5d-11eb-8a5a-91b1b441040a.png)\r\n![2](https://user-images.githubusercontent.com/56379013/101646965-32e2e700-3a5e-11eb-94d9-276e602c6ded.png)\r\n![4](https://user-images.githubusercontent.com/56379013/101646989-38d8c800-3a5e-11eb-92bb-d9c4cb2c3595.png)\r\n![5](https://user-images.githubusercontent.com/56379013/101647017-41c99980-3a5e-11eb-87cf-5268e79df19d.png)\r\n![6](https://user-images.githubusercontent.com/56379013/101647038-48581100-3a5e-11eb-8d05-f67834fcaa7b.png)\r\n\r\n![8](https://user-images.githubusercontent.com/56379013/101647080-55750000-3a5e-11eb-8455-8936a35b35c2.png)\r\n![9](https://user-images.githubusercontent.com/56379013/101647084-55750000-3a5e-11eb-988e-ae87f0b252a0.png)\r\n![10](https://user-images.githubusercontent.com/56379013/101647182-6f164780-3a5e-11eb-8af3-f0b0186483c9.png)\r\n![11](https://user-images.githubusercontent.com/56379013/101647230-7c333680-3a5e-11eb-9aeb-2b4ce65965e0.png)\r\n![13](https://user-images.githubusercontent.com/56379013/101647257-848b7180-3a5e-11eb-871c-2fd77b047320.png)\r\n![14](https://user-images.githubusercontent.com/56379013/101647268-89502580-3a5e-11eb-9e2a-b9f7ff1fc95e.png)\r\nthese same codes are in both #1186 and #1188 so because it is already present from PR #1186 because of that it is showing zeor code change in #1188 because it is already present from #1186 how i can show or highlight those changes\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n", "well for me https://github.com/huggingface/datasets/pull/1188/files is blank", "This PR tries to merge the master branch of you fork into this repo, however I can't find changes with your files inside your master branch.\r\n\r\nMaybe you can fork again the repo and try to create another PR ?", "@lhoestq i opened a new pr #1438 but this time it fails many circl ci tests", "Closing this one since a new PR was created" ]
2020-12-06T02:18:45Z
2020-12-11T17:40:41Z
2020-12-11T17:40:41Z
CONTRIBUTOR
null
adding Hindi_Encorp05 dataset
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757,826,707
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1,187
Added AQUA-RAT (Algebra Question Answering with Rationales) Dataset
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[ "merging since the CI is fixed on master" ]
2020-12-06T02:12:52Z
2020-12-07T15:37:12Z
2020-12-07T15:37:12Z
CONTRIBUTOR
null
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757,826,660
MDExOlB1bGxSZXF1ZXN0NTMzMTI1NjE4
1,186
all test passed
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[ "looks like this PR includes changes to 5000 files\r\ncould you create a new branch and a new PR ?" ]
2020-12-06T02:12:32Z
2020-12-07T15:06:55Z
2020-12-07T15:06:55Z
CONTRIBUTOR
null
need help creating dummy data
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757,825,413
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1,185
Add Hate Speech Dataset in Filipino
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2020-12-06T02:01:56Z
2020-12-07T15:35:33Z
2020-12-07T15:35:33Z
CONTRIBUTOR
null
This PR adds the Hate Speech Dataset, a text classification dataset in Filipino, consisting 10k tweets (training set) that are labeled as hate speech or non-hate speech. Released with 4,232 validation and 4,232 testing samples. Collected during the 2016 Philippine Presidential Elections. Link to the paper: https://pcj.csp.org.ph/index.php/pcj/issue/download/29/PCJ%20V14%20N1%20pp1-14%202019 Link to the dataset/repo: https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks
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Add Adversarial SQuAD dataset
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[ "the CI error was just a connection error due to all the activity on the repo this week ^^'\r\nI re-ran it so it should be good now", "I hadn't realized the problem with the dummies since it had passed without errors.\r\nSuggestion: maybe we can show the user a warning based on the generated dummy size.", "Thanks for changing to configs ! Looks all good now :) \r\n\r\nBefore we merge, can you re-lighten the dummy data please if you don't mind ? The idea is to have them weigh only a few KB (currently it's 50KB each). Feel free to remove any unnecessary files or chunk of text", "(also you can ignore the `RemoteDatasetTest ` CI errors, they're fixed on master )", "merging since the CI is fixed on master" ]
2020-12-05T23:51:57Z
2020-12-16T16:12:58Z
2020-12-16T16:12:58Z
CONTRIBUTOR
null
# Adversarial SQuAD Adding the Adversarial [SQuAD](https://github.com/robinjia/adversarial-squad) dataset as part of the sprint 🎉 This dataset adds adversarial sentences to a subset of the SQuAD dataset's dev examples. How to get the original squad example id is explained in readme->Data Instances. The whole data is intended for use in evaluation. (Which could of course be also used for training if one wants). So there is no classical train/val/test split, but a split based on the number of adversaries added. There are 2 splits of this dataset: - AddSent: Has up to five candidate adversarial sentences that don't answer the question, but have a lot of words in common with the question. This adversary is does not query the model in any way. - AddOneSent: Similar to AddSent, but just one candidate sentences was picked at random. This adversary is does not query the model in any way. (The AddAny and AddCommon datasets mentioned in the paper are dynamically generated based on model's output distribution thus are not included here) The failing test look like some unrelated timeout thing, will probably clear if rerun. - [x] All tests passed - [x] Added dummy data - [x] Added data card (as much as I could)
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757,806,570
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1,183
add mkb dataset
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[ "Could you update the languages tags before we merge @VasudevGupta7 ?", "done.", "thanks !" ]
2020-12-05T23:44:33Z
2020-12-09T09:38:50Z
2020-12-09T09:38:50Z
CONTRIBUTOR
null
This PR will add Mann Ki Baat dataset (parallel data for Indian languages).
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1,182
ADD COVID-QA dataset
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[ "merging since the CI is fixed on master", "Wow, thanks for including this dataset from my side as well!" ]
2020-12-05T23:31:56Z
2020-12-28T13:23:14Z
2020-12-07T14:23:27Z
CONTRIBUTOR
null
This PR adds the COVID-QA dataset, a question answering dataset consisting of 2,019 question/answer pairs annotated by volunteer biomedical experts on scientific articles related to COVID-19 Link to the paper: https://openreview.net/forum?id=JENSKEEzsoU Link to the dataset/repo: https://github.com/deepset-ai/COVID-QA
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757,791,992
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1,181
added emotions detection in arabic dataset
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[ "Hi @abdulelahsm did you manage to fix your issue ?\r\nFeel free to ping me if you have questions or if you're ready for a review", "@lhoestq fixed it! ready to merge. I hope haha", "merging since the CI is fixed on master" ]
2020-12-05T22:08:46Z
2020-12-21T09:53:51Z
2020-12-21T09:53:51Z
CONTRIBUTOR
null
Dataset for Emotions detection in Arabic text more info: https://github.com/AmrMehasseb/Emotional-Tone
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Add KorQuAD v2 Dataset
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[ "looks like this PR also includes the changes for the V1\r\nCould you only include the files of the V2 ?", "hmm I have made the dummy data lighter retested on local and it passed not sure why it fails here?", "merging since the CI is fixed on master" ]
2020-12-05T21:33:34Z
2020-12-16T16:10:30Z
2020-12-16T16:10:30Z
CONTRIBUTOR
null
# The Korean Question Answering Dataset v2 Adding the [KorQuAD](https://korquad.github.io/) v2 dataset as part of the sprint 🎉 This dataset is very similar to SQuAD and is an extension of [squad_kor_v1](https://github.com/huggingface/datasets/pull/1178) which is why I added it as `squad_kor_v2`. - Crowd generated questions and answer (1-answer per question) for Wikipedia articles. Differently from V1 it includes the html structure and markup, which makes it a different enough dataset. (doesn't share ids between v1 and v2 either) - [x] All tests passed - [x] Added dummy data - [x] Added data card (as much as I could) Edit: 🤦 looks like squad_kor_v1 commit sneaked in here too
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Small update to the doc: add flatten_indices in doc
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2020-12-05T21:30:10Z
2020-12-07T13:42:57Z
2020-12-07T13:42:56Z
MEMBER
null
Small update to the doc: add flatten_indices in doc
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Add KorQuAD v1 Dataset
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2020-12-05T21:25:46Z
2020-12-07T13:41:37Z
2020-12-07T13:41:37Z
CONTRIBUTOR
null
# The Korean Question Answering Dataset Adding the [KorQuAD](https://korquad.github.io/KorQuad%201.0/) v1 dataset as part of the sprint 🎉 This dataset is very similar to SQuAD which is why I added it as `squad_kor_v1`. There is also a v2 which I added [here](https://github.com/huggingface/datasets/pull/1180). - Crowd generated questions and answer (1-answer per question) for Wikipedia articles. - [x] All tests passed - [x] Added dummy data - [x] Added data card (as much as I could)
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757,778,684
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1,177
Add Korean NER dataset
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[ "Closed via #1219 " ]
2020-12-05T20:56:00Z
2020-12-06T20:19:48Z
2020-12-06T20:19:48Z
CONTRIBUTOR
null
This PR adds the [Korean named entity recognition dataset](https://github.com/kmounlp/NER). This dataset has been used in many downstream tasks, such as training [KoBERT](https://github.com/SKTBrain/KoBERT) for NER, as seen in this [KoBERT-CRF implementation](https://github.com/eagle705/pytorch-bert-crf-ner).
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757,778,365
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1,176
Add OpenPI Dataset
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[ "Hi @Bharat123rox ! It looks like some of the dummy data is broken or missing. Did you auto-generate it? Does the local test pass for you?", "@yjernite requesting you to have a look as to why the tests are failing only on Windows, there seems to be a backslash error somewhere, could it be the result of `os.path.join` and what should be the fix for this?", "This is the `black` output locally:\r\n```\r\n(datasets_env) datasets (openpi) > black --check --line-length 119 --target-version py36 datasets/openpi/\r\nAll done! ✨ 🍰 ✨\r\n1 file would be left unchanged.\r\n```", "Can you check your version of black (should be `20.8b1`) and run `make style again`? (And don't forget to rebase before pushing ;) )\r\n\r\nThe other test was a time-out error so should be good on the next commit", "Thanks @yjernite the CI tests finally passed!!", "Hi @Bharat123rox did you manage to join the different config into one using the IDs ?\r\n\r\nFeel free to ping me when you're ready for the next review :) ", "> Hi @Bharat123rox did you manage to join the different config into one using the IDs ?\n> \n> Feel free to ping me when you're ready for the next review :) \n\nNot yet @lhoestq still working on this! Meanwhile please review #1507 where I added the SelQA dataset :)", "Ok ! Let me review SelQA then :) \r\nThanks for your help !", "Apologies for the very late response. Here is the openpi dataset file with a single file per partition after merging `id_answers, answers.jsonl, question.jsonl , question_metadata.jsonl`\r\n\r\nhttps://github.com/allenai/openpi-dataset/blob/main/data/gold-v1.1/dev.jsonl", "Nice thank you @nikett !", "Hi @Bharat123rox , when you get a chance, please feel free to use the dataset from the repo ( [Link](https://github.com/allenai/openpi-dataset/blob/main/data/gold-v1.1/dev.jsonl) ) . Please let me know if any file is missing! Thank you ", "Hi @Bharat123rox are you working on this? ", "@nikett Sorry I'm no longer working on this as I'm out of time for it, please feel free to raise a new PR for this\r\n\r\n", "We are removing the dataset scripts from this GitHub repo and moving them to the Hugging Face Hub: https://huggingface.co/datasets\r\n\r\nWe would suggest to create this dataset there. Please, feel free to tell us if you need some help." ]
2020-12-05T20:54:06Z
2022-10-03T09:39:54Z
2022-10-03T09:39:54Z
CONTRIBUTOR
null
Add the OpenPI Dataset by AI2 (AllenAI)
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added ReDial dataset
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2020-12-05T20:04:18Z
2020-12-07T13:21:43Z
2020-12-07T13:21:43Z
CONTRIBUTOR
null
Updating README Dataset link: https://redialdata.github.io/website/datasheet
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Add Universal Morphologies
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[ "Sorry for the delay, changed the default language to \"ady\" (first alphabetical) and only downloading the relevant files for each config (dataset_infos is till 918KB though)", "Thanks for merging it ! Looks all good\r\n\r\nLooks like I didn't reply to your last message, sorry about that.\r\nFeel free to ping me when this happens :) " ]
2020-12-05T19:54:43Z
2021-01-26T16:50:16Z
2021-01-26T16:41:48Z
MEMBER
null
Adding unimorph universal morphology annotations for 110 languages, pfew!!! one lemma per row with all possible forms and annotations https://unimorph.github.io/
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add wikipedia biography dataset
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[ "Does anyone know why am I getting this \"Some checks were not successful\" message? For the _code_quality_ one, I have successfully run the flake8 command.", "Ok, I need to update the README.md, but don't know if that will fix the errors", "Hi @ACR0S , thanks for adding the dataset!\r\n\r\nIt looks like `black` is throwing the code quality error: you need to run `make style` with the latest version of `black` (`black --version` should return 20.8b1)\r\n\r\nWe also added a requirement to specify encodings when using the python `open` function (line 163 in the current version of your script)\r\n\r\nFinally, you will need to add the tags and field descriptions to the README as described here https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md#tag-the-dataset-and-write-the-dataset-card\r\n\r\nLet us know if you have any further questions!", "Also, please leave the full template of the readme with the `[More Information Needed]` paragraphs: you don't have to fill them out now but it will make it easier for us to go back to later :) ", "Thank you for your help, @yjernite! I have updated everything (finally run the _make style_, added the tags, the ecoding to the _open_ function and put back the empty fields in the README). Hope it works now! :)", "LGTM!", "merging since the CI is fixed on master" ]
2020-12-05T19:14:50Z
2020-12-07T11:13:14Z
2020-12-07T11:13:14Z
CONTRIBUTOR
null
My first PR containing the Wikipedia biographies dataset. I have followed all the steps in the [guide](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md). It passes all the tests.
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Add proto_qa dataset
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2020-12-05T18:55:04Z
2020-12-07T11:12:24Z
2020-12-07T11:12:24Z
CONTRIBUTOR
null
Added dataset tags as required.
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Add imdb Urdu Reviews dataset.
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2020-12-05T18:46:05Z
2020-12-07T11:11:17Z
2020-12-07T11:11:17Z
CONTRIBUTOR
null
Added the imdb Urdu reviews dataset. More info about the dataset over <a href="https://github.com/mirfan899/Urdu">here</a>.
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Fix path handling for Windows
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[ "@lhoestq here's the fix!" ]
2020-12-05T18:31:54Z
2020-12-07T10:47:23Z
2020-12-07T10:47:23Z
CONTRIBUTOR
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1,169
Add Opus fiskmo dataset for Finnish and Swedish for MT task
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2020-12-05T17:56:55Z
2020-12-07T11:04:11Z
2020-12-07T11:04:11Z
CONTRIBUTOR
null
Adding fiskmo, a massive parallel corpus for Finnish and Swedish. for more info : http://opus.nlpl.eu/fiskmo.php
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1,168
Add Naver sentiment movie corpus
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[ "Closed via #1252 " ]
2020-12-05T17:25:23Z
2020-12-07T13:34:09Z
2020-12-07T13:34:09Z
CONTRIBUTOR
null
This PR adds the [Naver sentiment movie corpus](https://github.com/e9t/nsmc), a dataset containing Korean movie reviews from Naver, the most commonly used search engine in Korea. This dataset is often used to benchmark models on Korean NLP tasks, as seen in [this paper](https://www.aclweb.org/anthology/2020.lrec-1.199.pdf).
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1,167
❓ On-the-fly tokenization with datasets, tokenizers, and torch Datasets and Dataloaders
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[ "We're working on adding on-the-fly transforms in datasets.\r\nCurrently the only on-the-fly functions that can be applied are in `set_format` in which we transform the data in either numpy/torch/tf tensors or pandas.\r\nFor example\r\n```python\r\ndataset.set_format(\"torch\")\r\n```\r\napplies `torch.Tensor` to the dataset entries on-the-fly.\r\n\r\nWe plan to extend this to user-defined formatting transforms.\r\nFor example\r\n```python\r\ndataset.set_format(transform=tokenize)\r\n```\r\n\r\nWhat do you think ?" ]
2020-12-05T17:02:56Z
2021-01-13T10:48:08Z
null
NONE
null
Hi there, I have a question regarding "on-the-fly" tokenization. This question was elicited by reading the "How to train a new language model from scratch using Transformers and Tokenizers" [here](https://huggingface.co/blog/how-to-train). Towards the end there is this sentence: "If your dataset is very large, you can opt to load and tokenize examples on the fly, rather than as a preprocessing step". I've tried coming up with a solution that would combine both `datasets` and `tokenizers`, but did not manage to find a good pattern. I guess the solution would entail wrapping a dataset into a Pytorch dataset. As a concrete example from the [docs](https://huggingface.co/transformers/custom_datasets.html) ```python import torch class SquadDataset(torch.utils.data.Dataset): def __init__(self, encodings): # instead of doing this beforehand, I'd like to do tokenization on the fly self.encodings = encodings def __getitem__(self, idx): return {key: torch.tensor(val[idx]) for key, val in self.encodings.items()} def __len__(self): return len(self.encodings.input_ids) train_dataset = SquadDataset(train_encodings) ``` How would one implement this with "on-the-fly" tokenization exploiting the vectorized capabilities of tokenizers? ---- Edit: I have come up with this solution. It does what I want, but I feel it's not very elegant ```python class CustomPytorchDataset(Dataset): def __init__(self): self.dataset = some_hf_dataset(...) self.tokenizer = BertTokenizerFast.from_pretrained("bert-base-uncased") def __getitem__(self, batch_idx): instance = self.dataset[text_col][batch_idx] tokenized_text = self.tokenizer(instance, truncation=True, padding=True) return tokenized_text def __len__(self): return len(self.dataset) @staticmethod def collate_fn(batch): # batch is a list, however it will always contain 1 item because we should not use the # batch_size argument as batch_size is controlled by the sampler return {k: torch.tensor(v) for k, v in batch[0].items()} torch_ds = CustomPytorchDataset() # NOTE: batch_sampler returns list of integers and since here we have SequentialSampler # it returns: [1, 2, 3], [4, 5, 6], etc. - check calling `list(batch_sampler)` batch_sampler = BatchSampler(SequentialSampler(torch_ds), batch_size=3, drop_last=True) # NOTE: no `batch_size` as now the it is controlled by the sampler! dl = DataLoader(dataset=torch_ds, sampler=batch_sampler, collate_fn=torch_ds.collate_fn) ```
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Opus montenegrinsubs
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[ "merging since the CI is fixed on master" ]
2020-12-05T17:00:44Z
2020-12-07T11:02:49Z
2020-12-07T11:02:49Z
CONTRIBUTOR
null
Opus montenegrinsubs - language pair en-me more info : http://opus.nlpl.eu/MontenegrinSubs.php
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Add ar rest reviews
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[ "Copy-pasted from the Slack discussion:\r\nthe annotation and language creators should be found , not unknown\r\nthe example should go under the \"Data Instances\" paragraph, not \"Data fields\"\r\ncan you remove the abstract from the citation and add it to the dataset description? More people will see that", "@yjernite done! thanks for the feedback", "@lhoestq not sure why it's failing tests now, I only changed cosmetics", "You can ignores these errors\r\n```\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_common.py::LocalDatasetTest::test_load_dataset_chr_en\r\nFAILED tests/test_dataset_common.py::RemoteDatasetTest::test_load_dataset_ajgt_twitter_ar\r\nFAILED tests/test_dataset_common.py::RemoteDatasetTest::test_load_dataset_chr_en\r\nFAILED tests/test_dataset_common.py::RemoteDatasetTest::test_load_dataset_great_code\r\n```\r\n\r\nthey're fixed on master", "Feel free to ping me for the final review once you managed to change to ClassLabel :) ", "Hey @lhoestq I was able to fix it !! I think the same errors appeared on circleCI and now it's hopefully ready to be merged?", "@lhoestq done! thanks for your review ", "merging since the CI is fixed on master" ]
2020-12-05T16:56:42Z
2020-12-21T17:06:23Z
2020-12-21T17:06:23Z
CONTRIBUTOR
null
added restaurants reviews in Arabic for sentiment analysis tasks
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Add DaNe dataset
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[ "Thanks, this looks great!\r\n\r\nFor the code quality test, it looks like `flake8` is throwing the error, so you can tun `flake8 datasets` locally and fix the errors it points out until it passes" ]
2020-12-05T16:36:50Z
2020-12-08T12:50:18Z
2020-12-08T12:49:55Z
CONTRIBUTOR
null
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Added memat : Xhosa-English parallel corpora
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[ "The `RemoteDatasetTest` CI fail is fixed on master so it's fine", "merging since the CI is fixed on master" ]
2020-12-05T16:08:50Z
2020-12-07T10:40:24Z
2020-12-07T10:40:24Z
CONTRIBUTOR
null
Added memat : Xhosa-English parallel corpora for more info : http://opus.nlpl.eu/memat.php
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1,162
Add Mocha dataset
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2020-12-05T15:45:14Z
2020-12-07T10:09:39Z
2020-12-07T10:09:39Z
CONTRIBUTOR
null
More information: https://allennlp.org/mocha
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757,705,286
MDExOlB1bGxSZXF1ZXN0NTMzMDM0MDM3
1,161
Linguisticprobing
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[ "Thanks for your contribution, @sileod.\r\n\r\nWe are removing the dataset scripts from this GitHub repo and moving them to the Hugging Face Hub: https://huggingface.co/datasets\r\n\r\nAs you already created this dataset under your organization namespace (https://huggingface.co/datasets/metaeval/linguisticprobing), I think we can safely close this PR.\r\n\r\nWe would suggest you add a dataset card with the YAML tags, to make it searchable and discoverable.\r\n\r\nPlease, feel free to tell us if you need some help." ]
2020-12-05T15:35:18Z
2022-10-03T09:40:04Z
2022-10-03T09:40:04Z
CONTRIBUTOR
null
Adding Linguistic probing datasets from What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties https://www.aclweb.org/anthology/P18-1198/
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1,160
adding TabFact dataset
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[ "FYI you guys are on GitHub's homepage 😍\r\n\r\n<img width=\"1589\" alt=\"Screenshot 2020-12-09 at 12 34 28\" src=\"https://user-images.githubusercontent.com/326577/101624883-a0ecc700-39e8-11eb-8a97-11af0d036536.png\">\r\n", "Yeayy 😍 🔥" ]
2020-12-05T13:05:52Z
2020-12-09T11:41:39Z
2020-12-09T09:12:41Z
MEMBER
null
Adding TabFact: A Large-scale Dataset for Table-based Fact Verification. https://github.com/wenhuchen/Table-Fact-Checking - The tables are stored as individual csv files, so need to download 16,573 🤯 csv files. As a result the `datasets_infos.json` file is huge (6.62 MB). - Original dataset has nested structure where, where table is one example and each table has multiple statements, flattening the structure here so that each statement is one example.
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757,661,128
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1,159
Add Roman Urdu dataset
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2020-12-05T11:36:43Z
2020-12-07T13:41:21Z
2020-12-07T09:59:03Z
CONTRIBUTOR
null
This PR adds the [Roman Urdu dataset](https://archive.ics.uci.edu/ml/datasets/Roman+Urdu+Data+Set#).
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757,658,926
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1,158
Add BBC Hindi NLI Dataset
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[ "Hi @avinsit123 !\r\nDid you manage to rename the dataset and apply the suggestion I mentioned for the data fields ?\r\nFeel free to ping me when you're ready for a review :) ", "Hi @avinsit123 ! Have you had a chance to take a look at my suggestions ?\r\nLet me know if you have questions or if I can help", "@lhoestq sorry I completely forgot about this pr. I will complete it ASAP.", "@lhoestq I have fixed the code to resolve all your comments. Pls do check. I also don't seem to know why the CI tests are failing as I ran all the tests in CONTRIBUTING.md on my local pc and they passed.", "@lhoestq thanks for ur patient review :) . I also wish to add similar 3 more NLI hindi datasets. Hope to do within this week.", "@lhoestq would this be merged to master?", "Yes of course ;)\r\nmerging now !" ]
2020-12-05T11:25:34Z
2021-02-05T09:48:31Z
2021-02-05T09:48:31Z
CONTRIBUTOR
null
# Dataset Card for BBC Hindi NLI Dataset ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) ## Dataset Description - HomePage : https://github.com/midas-research/hindi-nli-data - Paper : "https://www.aclweb.org/anthology/2020.aacl-main.71" - Point of Contact : https://github.com/midas-research/hindi-nli-data ### Dataset Summary - Dataset for Natural Language Inference in Hindi Language. BBC Hindi Dataset consists of textual-entailment pairs. - Each row of the Datasets if made up of 4 columns - Premise, Hypothesis, Label and Topic. - Context and Hypothesis is written in Hindi while Entailment_Label is in English. - Entailment_label is of 2 types - entailed and not-entailed. - Dataset can be used to train models for Natural Language Inference tasks in Hindi Language. [More Information Needed] ### Supported Tasks and Leaderboards - Natural Language Inference for Hindi ### Languages Dataset is in Hindi ## Dataset Structure - Data is structured in TSV format. - Train and Test files are in seperate files ### Dataset Instances An example of 'train' looks as follows. ``` {'hypothesis': 'यह खबर की सूचना है|', 'label': 'entailed', 'premise': 'गोपनीयता की नीति', 'topic': '1'} ``` ### Data Fields - Each row contatins 4 columns - Premise, Hypothesis, Label and Topic. ### Data Splits - Train : 15553 - Valid : 2581 - Test : 2593 ## Dataset Creation - We employ a recasting technique from Poliak et al. (2018a,b) to convert publicly available BBC Hindi news text classification datasets in Hindi and pose them as TE problems - In this recasting process, we build template hypotheses for each class in the label taxonomy - Then, we pair the original annotated sentence with each of the template hypotheses to create TE samples. - For more information on the recasting process, refer to paper "https://www.aclweb.org/anthology/2020.aacl-main.71" ### Source Data Source Dataset for the recasting process is the BBC Hindi Headlines Dataset(https://github.com/NirantK/hindi2vec/releases/tag/bbc-hindi-v0.1) #### Initial Data Collection and Normalization - BBC Hindi News Classification Dataset contains 4, 335 Hindi news headlines tagged across 14 categories: India, Pakistan,news, International, entertainment, sport, science, China, learning english, social, southasia, business, institutional, multimedia - We processed this dataset to combine two sets of relevant but low prevalence classes. - Namely, we merged the samples from Pakistan, China, international, and southasia as one class called international. - Likewise, we also merged samples from news, business, social, learning english, and institutional as news. - Lastly, we also removed the class multimedia because there were very few samples. #### Who are the source language producers? Pls refer to this paper: "https://www.aclweb.org/anthology/2020.aacl-main.71" ### Annotations #### Annotation process Annotation process has been described in Dataset Creation Section. #### Who are the annotators? Annotation is done automatically. ### Personal and Sensitive Information No Personal and Sensitive Information is mentioned in the Datasets. ## Considerations for Using the Data Pls refer to this paper: https://www.aclweb.org/anthology/2020.aacl-main.71 ### Discussion of Biases Pls refer to this paper: https://www.aclweb.org/anthology/2020.aacl-main.71 ### Other Known Limitations No other known limitations ## Additional Information Pls refer to this link: https://github.com/midas-research/hindi-nli-data ### Dataset Curators It is written in the repo : https://github.com/avinsit123/hindi-nli-data that - This corpus can be used freely for research purposes. - The paper listed below provide details of the creation and use of the corpus. If you use the corpus, then please cite the paper. - If interested in commercial use of the corpus, send email to [email protected]. - If you use the corpus in a product or application, then please credit the authors and Multimodal Digital Media Analysis Lab - Indraprastha Institute of Information Technology, New Delhi appropriately. Also, if you send us an email, we will be thrilled to know about how you have used the corpus. - Multimodal Digital Media Analysis Lab - Indraprastha Institute of Information Technology, New Delhi, India disclaims any responsibility for the use of the corpus and does not provide technical support. However, the contact listed above will be happy to respond to queries and clarifications. - Rather than redistributing the corpus, please direct interested parties to this page - Please feel free to send us an email: - with feedback regarding the corpus. - with information on how you have used the corpus. - if interested in having us analyze your data for natural language inference. - if interested in a collaborative research project. ### Licensing Information Copyright (C) 2019 Multimodal Digital Media Analysis Lab - Indraprastha Institute of Information Technology, New Delhi (MIDAS, IIIT-Delhi). Pls contact authors for any information on the dataset. ### Citation Information ``` @inproceedings{uppal-etal-2020-two, title = "Two-Step Classification using Recasted Data for Low Resource Settings", author = "Uppal, Shagun and Gupta, Vivek and Swaminathan, Avinash and Zhang, Haimin and Mahata, Debanjan and Gosangi, Rakesh and Shah, Rajiv Ratn and Stent, Amanda", booktitle = "Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing", month = dec, year = "2020", address = "Suzhou, China", publisher = "Association for Computational Linguistics", url = "https://www.aclweb.org/anthology/2020.aacl-main.71", pages = "706--719", abstract = "An NLP model{'}s ability to reason should be independent of language. Previous works utilize Natural Language Inference (NLI) to understand the reasoning ability of models, mostly focusing on high resource languages like English. To address scarcity of data in low-resource languages such as Hindi, we use data recasting to create NLI datasets for four existing text classification datasets. Through experiments, we show that our recasted dataset is devoid of statistical irregularities and spurious patterns. We further study the consistency in predictions of the textual entailment models and propose a consistency regulariser to remove pairwise-inconsistencies in predictions. We propose a novel two-step classification method which uses textual-entailment predictions for classification task. We further improve the performance by using a joint-objective for classification and textual entailment. We therefore highlight the benefits of data recasting and improvements on classification performance using our approach with supporting experimental results.", } ```
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Add dataset XhosaNavy English -Xhosa
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2020-12-05T11:19:54Z
2020-12-07T09:11:33Z
2020-12-07T09:11:33Z
CONTRIBUTOR
null
Add dataset XhosaNavy English -Xhosa More info : http://opus.nlpl.eu/XhosaNavy.php
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1,156
add telugu-news corpus
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2020-12-05T11:07:56Z
2020-12-07T09:08:48Z
2020-12-07T09:08:48Z
CONTRIBUTOR
null
Adding Telugu News Corpus to datasets.
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757,652,517
MDExOlB1bGxSZXF1ZXN0NTMyOTk2NjQ2
1,155
Add BSD
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[ "Glad to have more Japanese data! Couple of comments:\r\n- the abbreviation might confuse some people as there is also an OPUS BSD corpus, would you mind renaming it as `bsd_ja_en`?\r\n- `flake8` is throwing some errors, you can run it locally (`flake8 datasets`) and fix what it tells you until it's happy :)\r\n- We're not using `os.path.join` for URLs as it's unstable across systems (introduces backslashes on Windows). Can you write the URLs explicitly instead?\r\n\r\nThanks!", "Fantastic, looks great!", "> Fantastic, looks great!\r\n\r\nThanks for your help @yjernite, really appreciate it!", "The RemoteDatasetTest is fixed on master so it's fine", "merging since the CI is fixed on master" ]
2020-12-05T10:43:48Z
2020-12-07T09:27:46Z
2020-12-07T09:27:46Z
CONTRIBUTOR
null
This PR adds BSD, the Japanese-English business dialogue corpus by [Rikters et al., 2020](https://www.aclweb.org/anthology/D19-5204.pdf).
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