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WinoGrande

Reasoning

WinoGrande scales the Winograd Schema Challenge to 44,000 problems in which a pronoun must be resolved between two sentences that differ by one word. It was built through a procedure that strips dataset-side bias.

winogrande

Overview onlyNot imported on this site

Official source

Overview only: problem text has not been published on this site; the catalogue records the benchmark introduction, category and official source.

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Catalogue status: Not imported on this site

Reference links

Repository

Official repository

Issues

Dataset discussions

Paper

arXiv:1907.10641

Dataset

Source dataset

At a glance

Metric: accuracy, reported across training-set sizes from 160 to 40,000 examples
Size: About 44,000 problems in the source; none imported.
License: The dataset card has a Licensing Information section but names no licence.
Released: Dataset published on Hugging Face 2022-03
Maintainer: allenai (source organisation)
Answer access: No problem text is imported, so there is no answer storage for this entry. The source distributes the answers under its own terms.

What a problem looks like

A sentence with a blank and two candidate fillers.

How it is scored

The source ships the correct option; nothing is imported here.

Metric: accuracy, reported across training-set sizes from 160 to 40,000 examples

Why it is hard

The two sentences differ by a single word, so every cue except the intended commonsense one is held constant.

Cite

@article{sakaguchi2019winogrande,
  title={WinoGrande: An Adversarial Winograd Schema Challenge at Scale},
  author={Keisuke Sakaguchi and Ronan Le Bras and Chandra Bhagavatula and Yejin Choi},
  journal={arXiv preprint arXiv:1907.10641},
  year={2019}
}

Discussion

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Discussion

Public problem summary

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