McGill-NLP/stereoset
Dataset Card for StereoSet Dataset Summary StereoSet is a dataset that measures stereotype bias in language models. StereoSet consists of 17,000 sentences that measures model preferences across gender, race, religion, and profession. Supported Tasks and Leaderboards multiple-choice question answering Languages English (en) Dataset Structure Data Instances #intersentence {'bias_type': 'race'… See the full description on the dataset page: https://huggingface.co/datasets/McGill-NLP/stereoset.
| Author / organization | McGill-NLP |
|---|---|
| License (as declared) | cc-by-sa-4.0 |
| Downloads | 4.8K (as reported by Hugging Face) |
| Likes | 31 |
| Created | 2 March 2022 |
| Last updated at source | 23 January 2024 |
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4,783 now (-351 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Dataset Card for StereoSet Dataset Summary StereoSet is a dataset that measures stereotype bias in language models. StereoSet consists of 17,000 sentences that measures model preferences across gender, race, religion, and profession. Suppor → Dataset Card for StereoSet Dataset Summary StereoSet is a dataset that measures stereotype bias in language models. StereoSet consists of 17,000 sentences that measures model preferences across gender, race, religion, and profession. Suppor
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