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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.

sourceHugging Facemitupdated 11d agoView on Hugging Face
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cecb03811d ago

Use an absolute URL for the paper figure

alisa-yingjia-wan
a7b6eaf11d ago

Add the paper figure to the card

alisa-yingjia-wan
68b8d1811d ago

Add the paper figure to the card

alisa-yingjia-wan
3096bda11d ago

Unwrap the hard-wrapped paragraphs

alisa-yingjia-wan
345b39e11d ago

Drop the brace protection around LLMs in the title

alisa-yingjia-wan
2ad7d5a11d ago

Unify the BibTeX entry across the three repos

alisa-yingjia-wan
637fdae11d ago

Update README.md

alisa-yingjia-wan
5a0445511d ago

Update README.md

alisa-yingjia-wan
9bfaaed11d ago

Point the paper links at the arXiv preprint

alisa-yingjia-wan
13b0e8211d ago

Upload folder using huggingface_hub

alisa-yingjia-wan
79f4ee811d ago

initial commit

alisa-yingjia-wan