Datasets › StereoSet

StereoSet

Introduced by Moin Nadeem et al. in StereoSet: Measuring stereotypical bias in pretrained language models archive 2025-07-28

A large-scale natural dataset in English to measure stereotypical biases in four domains: gender, profession, race, and religion.

Source: StereoSet: Measuring stereotypical bias in pretrained language models

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Bias Detection StereoSet GPT-2 (small) ICAT Score 72.97 StereoSet: Measuring stereotypical bias in pretrained... moinnadeem/StereoSet +2 11 Compare

Papers archive 2025-07-28

2 shown of 2 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 156. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Galactica: A Large Language Model for Science 1 3 16 Nov 2022 ran 0 of 2 samples (2 unverified)
StereoSet: Measuring stereotypical bias in pretrained language models 3 8 20 Apr 2020 not harvested

Dataset loaders archive 2025-07-28

3 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

CC-BY-SA-4.0

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

Variants archive 2025-07-28

  • StereoSet

1 variant name, as the archive lists them.

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