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  <!-- Provide the basic links for the dataset. -->
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- - **Repository:** [github.com/aieng-lab/gradiend](https://github.com/aieng-lab/gradiend)
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  - **Paper:** [![arXiv](https://img.shields.io/badge/arXiv-2502.01406-blue.svg)](https://arxiv.org/abs/2502.01406)
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  - **Original Data**: [BookCorpus](https://huggingface.co/datasets/bookcorpus/bookcorpus)
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  <!-- Motivation for the creation of this dataset. -->
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- For the training of a gender bias [GRADIEND model](https://github.com/aieng-lab/gradiend), a diverse dataset associating first names with both, its factual and counterfactual pronoun associations, to assess gender-related gradient information.
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  ### Source Data
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  <!-- Provide the basic links for the dataset. -->
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+ - **Repository:** [github.com/aieng-lab/gradiend-bias](https://github.com/aieng-lab/gradiend-bias)
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  - **Paper:** [![arXiv](https://img.shields.io/badge/arXiv-2502.01406-blue.svg)](https://arxiv.org/abs/2502.01406)
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  - **Original Data**: [BookCorpus](https://huggingface.co/datasets/bookcorpus/bookcorpus)
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  <!-- Motivation for the creation of this dataset. -->
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+ For the training of a gender bias [GRADIEND model](https://github.com/aieng-lab/gradiend-bias), a diverse dataset associating first names with both, its factual and counterfactual pronoun associations, to assess gender-related gradient information.
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  ### Source Data
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