kinit/gest
GEST Dataset This is a repository for the GEST dataset used to measure gender-stereotypical reasoning in language models and machine translation systems. Paper: Women Are Beautiful, Men Are Leaders: Gender Stereotypes in Machine Translation and Language Modeling Code and additional data (annotation details, translations) are available in our repository Changelog December 6th 2024 - gest_1.1.csv was added. This is a new version that has 244 typos and other… See the full description on the dataset page: https://huggingface.co/datasets/kinit/gest.
| Author / organization | kinit |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 145 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 17 January 2024 |
| Last updated at source | 6 December 2024 |
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Recent changes
- 16 Oct 2026 Description: GEST Dataset This is a repository for the GEST dataset used to measure gender-stereotypical reasoning in language models and machine translation systems. Paper: Women Are Beautiful, Men Are Leaders: Gender Stereotypes in Machine Translation → GEST Dataset This is a repository for the GEST dataset used to measure gender-stereotypical reasoning in language models and machine translation systems. Paper: Women Are Beautiful, Men Are Leaders: Gender Stereotypes in Machine Translation
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