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TruthfulQA

The TruthfulQA dataset is a dataset that contains 817 questions designed to evaluate language models' preference to mimic some human falsehoods.

Data and Resources

This dataset has no data

Cite this as

Stephanie Lin, Jacob Hilton, Owain Evans (2024). Dataset: TruthfulQA. https://doi.org/10.57702/4bmztqs8

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2404.02655
Citation
  • https://doi.org/10.48550/arXiv.2407.15516
  • https://doi.org/10.48550/arXiv.2308.07902
  • https://doi.org/10.48550/arXiv.2401.05930
  • https://doi.org/10.18653/v1/2023.findings-emnlp.608
  • https://doi.org/10.48550/arXiv.2406.04306
  • https://doi.org/10.48550/arXiv.2402.10612
  • https://doi.org/10.48550/arXiv.2405.20974
Author Stephanie Lin
More Authors
Jacob Hilton
Owain Evans
Homepage https://huggingface.co/datasets/truthfulqa