BeyondGender

BeyondGender : A Multifaceted Bilingual Dataset for Practical Sexism Detection

Paper link https://ojs.aaai.org/index.php/AAAI/article/view/34656

Dataset Description:

Our dataset comprises around 21K data in English and Chinese. It is intended for sexism detection for both genders, men and women.

Labels are sexism (Yes/No), phrasing (Hostile/Benevolent), Gender (Male/Female), Misogyny (Yes/No), Misandry (Yes/No).

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Citation

@inproceedings{beyondGender2025,
  title={BeyondGender: A Multifaceted Bilingual Dataset for Practical Sexism Detection},
  author={Luo, Xuan and Yang, Li and Zhang, Han and Tu, Geng and Wang, Qianlong and Ding, Keyang and Fan, Chuang and Li, Jing and Xu, Ruifeng}, 
  volume={39}, 
  url={https://ojs.aaai.org/index.php/AAAI/article/view/34656}, 
  DOI={10.1609/aaai.v39i23.34656}, 
  number={23}, 
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence}, 
  year={2025}, 
  month={Apr.}, 
  pages={24750-24758}
}