Claim · 2019-07 · publication · Stated in source · Supported

The paper presents the Natural Questions corpus, a question answering data set.

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What it connects

Natural Questions: A Benchmark for Question Answering Research → states its contribution → The paper presents the Natural Questions corpus, a question answering data set.

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Claim and evidence

Natural Questions: A Benchmark for Question Answering Researchstates its contribution ↓The paper presents the Natural Questions corpus, a question answering data set.

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2019-07 · publication Records dated 2019 →

Scope and limitsThe paper's own description of its contribution; not an assessment of it.

The evidence 01

primary sourceSupports the claim

Natural Questions: A Benchmark for Question Answering Research

Association for Computational Linguistics · 2019-07

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Source excerpt

“We present the Natural Questions corpus, a question answering data set.”

Location in source PDF p. 1, abstract

Machine-checked · 2026-10-31

Source details and check notes

Authors: Tom Kwiatkowski; Jennimaria Palomaki; Olivia Redfield; Michael Collins; Ankur Parikh; Chris Alberti; Danielle Epstein; Illia Polosukhin; Jacob Devlin; Kenton Lee; Kristina Toutanova; Llion Jones; Matthew Kelcey; Ming-Wei Chang; Andrew M. Dai; Jakob Uszkoreit; Quoc Le; Slav Petrov
Version: Journal PDF in the ACL Anthology, Transactions of the Association for Computational Linguistics 7; the month is from the PDF’s publication footer (“Published 7/2019”, printed p. 453), as the cross-family check read it (item A012). Retrieved for the candidate pack on 2026-10-28 (SHA-256 bb1423eb40e9ca3c864bcd9c316d4f84f4f84694924b873ae3e20da1e600dcb6). The author list is the byline as printed on the first page.
Canonical address: Open the canonical source ↗
Accessed: 2026-10-28
Language: English (en)
Attribution: Tom Kwiatkowski and others, “Natural Questions: A Benchmark for Question Answering Research”, 2019-07.
Reuse: No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution.
Check notes: Candidate pack passage, key papers (research/key-papers). The quotation (11 words) matched the text retrieved for the candidate pack on 2026-10-28 (research/key-papers/verification.json). Matching ignored differences of whitespace, case, quotation marks, dashes and line-break hyphens, so the source’s typography can differ. No human editorial review.

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Relation. A paper or other publication describes its own contribution, quoted from the expression the record names, usually its abstract or introduction. The record is the document’s own description, not an assessment: a claim of priority or novelty it contains is the document’s claim, flagged as such, and says nothing about earlier or later work.

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Record ID kp-states-natural-questions-benchmark-question-answering-2019-1