Claim · 2017-05-09 · publication · Stated in source · Supported

The paper presents TriviaQA, a reading comprehension dataset that it reports contains over 650K question-answer-evidence triples.

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What it connects

TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension → states its contribution → The paper presents TriviaQA, a reading comprehension dataset that it reports contains over 650K question-answer-evidence triples.

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Claim and evidence

TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehensionstates its contribution ↓The paper presents TriviaQA, a reading comprehension dataset that it reports contains over 650K question-answer-evidence triples.

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2017-05-09 · publication Records dated 2017 →

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

The evidence 01

primary sourceSupports the claim

TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

arXiv · 2017-05-09

Cite the original source

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Source excerpt

“We present TriviaQA, a challenging reading comprehension dataset containing over 650K question-answer-evidence triples.”

Location in source arXiv v1, PDF p. 1, abstract

Machine-checked · 2026-10-31

Source details and check notes

Authors: Mandar Joshi; Eunsol Choi; Daniel S. Weld; Luke Zettlemoyer
Version: arXiv:1705.03551v1, submitted 9 May 2017 (UTC). Retrieved for the candidate pack on 2026-10-28 (SHA-256 20305bcc8baa803414d0a94b7d9b0221d28355c6783de5c545eceeff48b1c91f). The author list is the byline as printed on the first page.
Version date: 2017-05-09
Canonical address: Open the canonical source ↗
Accessed: 2026-10-28
Language: English (en)
Attribution: Mandar Joshi, Eunsol Choi, Daniel S. Weld, Luke Zettlemoyer, “TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension”, 2017-05-09.
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 (13 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.

Date. Date of the arXiv version quoted, submitted 9 May 2017 (UTC); later versions may word it differently.

Record ID kp-states-triviaqa-large-scale-distantly-supervised-2017-1