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.
Website: The landing page for TOFU… See the full description on the dataset page:
https://huggingface.co/datasets/kimperyang/TOFU-C-Shuffle.
