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MilaNLProc/a-tale-of-pronouns

A Tale of Pronouns: Attributions on WinoMT This dataset contains the pre-computed feature attribution scores relative to the paper A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation. Dataset Details We release the integrated gradient token-level attributions computed for each WinoMT translated example into Spanish and German with Flan-T5-XXL and mtT0-XXL. We computed the scores using inseq. The… See the full description on the dataset page: https://huggingface.co/datasets/MilaNLProc/a-tale-of-pronouns.

Author / organizationMilaNLProc
License (as declared)apache-2.0
Downloads127 (as reported by Hugging Face)
Likes0
Created24 October 2023
Last updated at source18 November 2023
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  • 16 Oct 2026 Description: A Tale of Pronouns: Attributions on WinoMT This dataset contains the pre-computed feature attribution scores relative to the paper A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Tran → A Tale of Pronouns: Attributions on WinoMT This dataset contains the pre-computed feature attribution scores relative to the paper A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Tran

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