README.md

metadata

title: Gusnet V1 Demo
emoji: ⚡
colorFrom: gray
colorTo: yellow
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
license: mit

GUS-Net Project Details:

Resources:

• Please visit this collection for the datasets and model presented in the GUS-Net paper.
• GUS-Net was implemented as part of The Fair-ly Project, in a Chrome Extension, and PyPI package.

Please cite:

@article{powers2024gusnet,
  title={{GUS-Net: Social Bias Classification in Text with Generalizations, Unfairness, and Stereotypes}},
  author={Maximus Powers and Umang Mavani and Harshitha Reddy Jonala and Ansh Tiwari and Hua Wei},
  journal={arXiv preprint arXiv:2410.08388},
  year={2024},
  url={https://arxiv.org/abs/2410.08388}
}

Give our research group, Ethical Spectacle, a follow ;).