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TOFU: Task of Fictitious Unlearning š¢ 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.