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--- |
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title: Gusnet V1 Demo |
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emoji: ⚡ |
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colorFrom: gray |
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colorTo: yellow |
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sdk: gradio |
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sdk_version: 4.44.0 |
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app_file: app.py |
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pinned: false |
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license: mit |
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--- |
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## GUS-Net Project Details: |
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#### Resources: |
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- 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). |
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- 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). |
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#### Please cite: |
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``` |
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@article{powers2024gusnet, |
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title={{GUS-Net: Social Bias Classification in Text with Generalizations, Unfairness, and Stereotypes}}, |
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author={Maximus Powers and Umang Mavani and Harshitha Reddy Jonala and Ansh Tiwari and Hua Wei}, |
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journal={arXiv preprint arXiv:2410.08388}, |
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year={2024}, |
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url={https://arxiv.org/abs/2410.08388} |
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} |
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``` |
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Give our research group, [Ethical Spectacle](https://huggingface.co./ethical-spectacle), a follow ;). |
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