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EMMA_Concept Erasure Benchmark with Comprehensive Semantic Metrics and Diverse Categories

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DataCite Commons2025-05-16 更新2025-05-17 收录
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https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/LPPTOP
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The EMMA evaluation metric dataset includes prompts designed to assess concept erasure methods on both erasing ability and retaining ability. Specifically, for erasing ability, the files are named as follows: "efficacy_01" corresponds to "name," "efficacy_02" to "short," "efficacy_03" to "long," and "efficacy_04" to "prefix." For retaining ability, the file "specificity" represents "random," while "hard_specificity" corresponds to "similar," as referenced in the paper.
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Harvard Dataverse
创建时间:
2025-05-16
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