datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
copyright_unlearningcopyrightBooks
ForgetRetainBooks
This dataset is derived from the NarrativeQA dataset, created by Kocisky et al. (2018). NarrativeQA is a dataset for evaluating reading comprehension and narrative understanding.
This dataset is an extraction of the book content from the original NarrativeQA dataset.
Citation
If you want to use this dataset, please also cite the original NarrativeQA dataset.
@article{narrativeqa,
author = {Tom\'a\v s Ko\v cisk\'y and Jonathan Schwarz and Phil Blunsom and… See the full description on the dataset page: https://huggingface.co/datasets/kqwang/copyrightBooks.copyrightQA
CopyrightQA
This dataset is derived from the NarrativeQA dataset, created by Kocisky et al. (2018). NarrativeQA is a dataset for evaluating reading comprehension and narrative understanding.
This dataset is an extraction of the question answer pairs from the original NarrativeQA dataset. It's original use is to evaluate LLMs forgetting ability using TOFU, created by Maini et al. (2024). TOFU is a benchmark for evaluating unlearning performance of LLMs on realistic tasks.… See the full description on the dataset page: https://huggingface.co/datasets/kqwang/copyrightQA.colabel-copyright-substitution-riskcopyrightQA
CopyrightQA
This dataset is derived from the NarrativeQA dataset, created by Kocisky et al. (2018). NarrativeQA is a dataset for evaluating reading comprehension and narrative understanding.
This dataset is an extraction of the question answer pairs from the original NarrativeQA dataset. It's original use is to evaluate LLMs forgetting ability using TOFU, created by Maini et al. (2024). TOFU is a benchmark for evaluating unlearning performance of LLMs on realistic tasks.… See the full description on the dataset page: https://huggingface.co/datasets/WARSO46/copyrightQA.