{"id":13535122,"url":"https://github.com/karthikncode/nlp-datasets","last_synced_at":"2025-04-02T00:32:28.398Z","repository":{"id":89619472,"uuid":"56541657","full_name":"karthikncode/nlp-datasets","owner":"karthikncode","description":"A list of datasets/corpora for NLP tasks, in reverse chronological order. 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The goal is to make this a collaborative effort to maintain an updated list of quality datasets.\n\n# Areas\n  * [Question Answering](#question-answering)\n  * [Dialogue Systems](#dialogue-systems)\n  * [Goal-Oriented Dialogue Systems](#goal-oriented-dialogue-systems)\n\n## Question Answering\n  * **(NLVR)** A Corpus of Natural Language for Visual Reasoning, 2017 [[paper]](http://yoavartzi.com/pub/slya-acl.2017.pdf) [[data]](http://lic.nlp.cornell.edu/nlvr)\n  * **(MS MARCO)** MS MARCO: A Human Generated MAchine Reading COmprehension Dataset, 2016 [[paper]](https://arxiv.org/abs/1611.09268) [[data]](http://www.msmarco.org/)\n  * **(NewsQA)** NewsQA: A Machine Comprehension Dataset, 2016 [[paper]](https://arxiv.org/abs/1611.09830) [[data]](https://github.com/Maluuba/newsqa)\n  * **(SQuAD)** SQuAD: 100,000+ Questions for Machine Comprehension of Text, 2016 [[paper]](http://arxiv.org/abs/1606.05250) [[data]](http://stanford-qa.com)\n  * **(GraphQuestions)** On Generating Characteristic-rich Question Sets for QA Evaluation, 2016 [[paper]](http://cs.ucsb.edu/~ysu/papers/emnlp16_graphquestions.pdf) [[data]](https://github.com/ysu1989/GraphQuestions)\n  * **(Story Cloze)** A Corpus and Cloze Evaluation for Deeper Understanding of\nCommonsense Stories, 2016 [[paper]](http://arxiv.org/abs/1604.01696) [[data]](http://cs.rochester.edu/nlp/rocstories)\n  * **(Children's Book Test)** The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations, 2015 [[paper]](http://arxiv.org/abs/1511.02301) [[data]](http://www.thespermwhale.com/jaseweston/babi/CBTest.tgz)\n  * **(SimpleQuestions)** Large-scale Simple Question Answering with Memory Networks, 2015 [[paper]](http://arxiv.org/pdf/1506.02075v1.pdf) [[data]](https://www.dropbox.com/s/tohrsllcfy7rch4/SimpleQuestions_v2.tgz)\n  * **(WikiQA)** WikiQA: A Challenge Dataset for Open-Domain Question Answering, 2015 [[paper]](http://research.microsoft.com/pubs/252176/YangYihMeek_EMNLP-15_WikiQA.pdf) [[data]](http://research.microsoft.com/en-US/downloads/4495da01-db8c-4041-a7f6-7984a4f6a905/default.aspx)\n  * **(CNN-DailyMail)** Teaching Machines to Read and Comprehend, 2015 [[paper]](http://arxiv.org/abs/1506.03340) [[code to generate]](https://github.com/deepmind/rc-data)  [[data]](http://cs.nyu.edu/~kcho/DMQA/)\n  * **(QuizBowl)** A Neural Network for Factoid Question Answering over Paragraphs, 2014 [[paper]](https://www.cs.umd.edu/~miyyer/pubs/2014_qb_rnn.pdf) [[data]](https://www.cs.umd.edu/~miyyer/qblearn/index.html)\n  * **(MCTest)** MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text, 2013 [[paper]](http://research.microsoft.com/en-us/um/redmond/projects/mctest/MCTest_EMNLP2013.pdf) [[data]](http://research.microsoft.com/en-us/um/redmond/projects/mctest/data.html) [[alternate data link]](https://github.com/mcobzarenco/mctest/tree/master/data/MCTest)  \n  * **(QASent)** What is the Jeopardy model? A quasisynchronous grammar for QA, 2007 [[paper]](http://homes.cs.washington.edu/~nasmith/papers/wang+smith+mitamura.emnlp07.pdf) [[data]](http://cs.stanford.edu/people/mengqiu/data/qg-emnlp07-data.tgz)\n\n## Dialogue Systems\n  * **(Ubuntu Dialogue Corpus)** The Ubuntu Dialogue Corpus : A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems, 2015 [[paper]](http://arxiv.org/abs/1506.08909) [[data]](https://github.com/rkadlec/ubuntu-ranking-dataset-creator)\n\n## Goal-Oriented Dialogue Systems\n  * **(Frames)** Frames: A Corpus for Adding Memory to Goal-Oriented Dialogue Systems, 2016 [[paper]](https://arxiv.org/abs/1704.00057) [[data]](http://datasets.maluuba.com/Frames)\n  * **(DSTC 2 \u0026 3)** Dialog State Tracking Challenge 2 \u0026 3, 2013 [[paper]](http://camdial.org/~mh521/dstc/downloads/handbook.pdf) [[data]](http://camdial.org/~mh521/dstc/)\n","funding_links":[],"categories":["Corpus","Others","Dataset Collections","Uncategorized"],"sub_categories":["[pydial](http://www.camdial.org/pydial/)","Most QA systems have roughly 3 parts","Uncategorized"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkarthikncode%2Fnlp-datasets","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkarthikncode%2Fnlp-datasets","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkarthikncode%2Fnlp-datasets/lists"}