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| 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](https://huggingface.co/collections/ethical-spectacle/gus-net-66edfe93801ea45d7a26a10f) for the datasets and model presented in the [GUS-Net paper](https://huggingface.co/papers/2410.08388). | |
| - GUS-Net was implemented as part of [The Fair-ly Project](https://ethical-spectacle-research.gitbook.io/fair-ly), in a [Chrome Extension](https://chromewebstore.google.com/detail/fair-ly/geoaacpcopfegimhbdemjkocekpncfcc), and [PyPI package](https://ethical-spectacle-research.gitbook.io/fair-ly/toolkit/python-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](https://huggingface.co/ethical-spectacle), a follow ;). | |