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alisa-yingjia-wan/gapa

GAPA: Gender Associations of Physical Attributes The GAPA dataset contains 14,706 human ratings of how strongly English physical descriptions (n=316, e.g., "a defined jawline", "a soft voice", "broad shoulders") are associated with a woman, a man, or a non-binary person. Paper Figure 1 — an excerpt of the most gender-distinctive attributes in each ranking pattern, with their per-gender association ratings. How to use from datasets import load_dataset… See the full description on the dataset page: https://huggingface.co/datasets/alisa-yingjia-wan/gapa.

Author / organizationalisa-yingjia-wan
License (as declared)mit
Downloads145 (as reported by Hugging Face)
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Created16 September 2026
Last updated at source17 September 2026
gender-biasfairnesshuman-annotationsimage-description
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