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HellaSwag

benchmark

Metadata

Source Tablebenchmarks
Source IDnD2CFoyeBf
DescriptionA commonsense natural language inference benchmark testing whether models can predict the most plausible continuation of a scenario. Uses adversarial filtering against LMs.
Wiki IDhellaswag
Children—
CreatedMar 14, 2026, 12:43 AM
UpdatedMar 24, 2026, 11:24 PM
SyncedMar 24, 2026, 11:24 PM

Record Data

idnD2CFoyeBf
slughellaswag
nameHellaSwag
categoryreasoning
subCategory—
descriptionA commonsense natural language inference benchmark testing whether models can predict the most plausible continuation of a scenario. Uses adversarial filtering against LMs.
website—
scoringMethodaccuracy
higherIsBetterYes
introducedDate2019-05
maintainerAI2 / University of Washington
sourcearxiv.org/abs/1905.07830
Debug info

Thing ID: nD2CFoyeBf

Source Table: benchmarks

Source ID: nD2CFoyeBf

Wiki ID: hellaswag