Gyikoo/TOFU-C-All
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… See the full description on the dataset page: https://huggingface.co/datasets/Gyikoo/TOFU-C-All.
| Author / organization | Gyikoo |
|---|---|
| License (as declared) | mit |
| Downloads | 271 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 13 September 2024 |
| Last updated at source | 3 October 2024 |
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- 16 Oct 2026 Description: 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 dif → 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 dif
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