Claim · 2019-05-19 · publication · Stated in source · Supported

The paper presents HellaSwag, a challenge dataset, and states that it shows commonsense inference remains difficult for the strongest models it tested.

One recorded claim. The claim panel gives its qualification, the source passages with their place in each source, and how it was checked.

What it connects

HellaSwag: Can a Machine Really Finish Your Sentence? → states its contribution → The paper presents HellaSwag, a challenge dataset, and states that it shows commonsense inference remains difficult for the strongest models it tested.

Where it appears

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Claim and evidence

HellaSwag: Can a Machine Really Finish Your Sentence?states its contribution ↓The paper presents HellaSwag, a challenge dataset, and states that it shows commonsense inference remains difficult for the strongest models it tested.

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2019-05-19 · 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

HellaSwag: Can a Machine Really Finish Your Sentence?

arXiv · 2019-05-19

Cite the original source

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Source excerpt

“In this paper, we show that commonsense inference still proves difficult for even stateof-the-art models, by presenting HellaSwag, a new challenge dataset.”

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

Machine-checked · 2026-10-31

Source details and check notes

Authors: Rowan Zellers; Ari Holtzman; Yonatan Bisk; Ali Farhadi; Yejin Choi
Version: arXiv:1905.07830v1, submitted 19 May 2019 (UTC). Retrieved for the candidate pack on 2026-10-28 (SHA-256 9a042fdcc4a22848cffde37e9c5257e423443980172bab7367dffb4e779aac37). The author list is the byline as printed on the first page.
Version date: 2019-05-19
Canonical address: Open the canonical source ↗
Accessed: 2026-10-28
Language: English (en)
Attribution: Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi, “HellaSwag: Can a Machine Really Finish Your Sentence?”, 2019-05-19.
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 (22 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.

Status and meaning

Editorial status. Not reviewed by an editor. An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.

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 19 May 2019 (UTC); later versions may word it differently.

Record ID kp-states-hellaswag-can-machine-really-finish-2019-1