apeleg/SUITE

SUITE SUITE (Selective Unlearning of Isolated Topics and Events) is a fine-grained benchmark for machine unlearning in LLMs: removing a specific set of facts from a model while preserving everything else. It is the benchmark introduced in the paper Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem (see Citation). We frame unlearning as an asymmetric generalization problem. Forgetting must generalize intensively: it has to hold across every… See the full description on the dataset page: https://huggingface.co/datasets/apeleg/SUITE.

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