SQuAD 1.0

A reading comprehension dataset consisting of 100,000+ questions posed by crowdworkers on a set of Wikipedia articles, where the answer to each question is a segment of text from the corresponding reading passage. SQuAD contains 107,785 question-answer pairs on 536 articles.

Language(s)
English
Dataset description link
https://aclanthology.org/D16-1264.pdf
Year
2016
Domain
General
Text types
Encyclopedia entries
Annotations
Questions-answers
Data link
https://rajpurkar.github.io/SQuAD-explorer/
Publication
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016. SQuAD: 100,000+ Questions for Machine Comprehension of Text. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 2383–2392, Austin, Texas. Association for Computational Linguistics.
Publication link
https://aclanthology.org/D16-1264/
NLP Topic
question answering
Number of units
107785

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