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    Language, speech & LLMs· 2016

    SQuAD: 100,000+ Questions for Machine Comprehension of Text

    Pranav Rajpurkar (first author) · 2016

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    arXiv 1606.05250OpenAlex W2963748441

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    Why it matters

    Established the defining extractive reading comprehension benchmark for neural NLP.

    Condensed from the expert lists' notes.

    The record

    First released
    2016 (from arXiv 1606.05250)
    Citations
    9,917 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Awards
    ACL Test of Time
    Named by
    both expert lists
    Score
    0.720 · computed rank 51 · consensus 0.66, must-read 0.5, citations percentile 0.778 (2010s · language), awards 1, existing lists 0.5. Method

    Data sources

    Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.