TOFU

TOFU: Task of Fictitious Unlearning 🍢 The TOFU dataset serves as a benchmark for evaluating unlearning performance of large language models on realistic tasks. The dataset comprises question-answer pairs based on autobiographies of 200 different authors that do not exist and are completely fictitiously generated by the GPT-4 model. The goal of the task is to unlearn a fine-tuned model on various fractions of the forget set. Quick Links Website: The landing page for TOFU… See the full description on the dataset page: https://huggingface.co/datasets/locuslab/TOFU.

Type: Dataset
Imported from Hugging Face
Popularity: 60 likes on Hugging Face
License: mit
Source: https://huggingface.co/datasets/locuslab/TOFU
Tags: annotations_creators:machine-generated, language_creators:machine-generated, multilinguality:monolingual, source_datasets:original, unlearning, question answering, TOFU, NLP, LLM
Updated: 2026-10-01

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