Dataset · Hugging Face

locuslab/TOFU

Name: TOFU
Creator: locuslab
License: mit
Keywords: task_categories:question-answering, task_ids:closed-domain-qa, annotations_creators:machine-generated, language_creators:machine-generated, multilinguality:monolingual, source_datasets:original, language:en, license:mit, size_categories:10K<n<100K, format:json, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars

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.

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Author / organization	locuslab
License (as declared)	mit
Downloads	55.1K (as reported by Hugging Face)
Likes	64
Created	14 November 2023
Last updated at source	27 March 2025

unlearningquestion answeringTOFUNLPLLM

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