meg-tong/sycophancy-eval

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The declared licence (mit) is classified as permissive.

Declared licence: mit, from the tagEvidence: README.md at 18f1816
Licence files: No licence file at the top level of the repositoryEvidence: file list at 18f1816
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Citation text from the card

@misc{sharma2023understanding,
      title={Towards Understanding Sycophancy in Language Models}, 
      author={Mrinank Sharma and Meg Tong and Tomasz Korbak and David Duvenaud and Amanda Askell and Samuel R. Bowman and Newton Cheng and Esin Durmus and Zac Hatfield-Dodds and Scott R. Johnston and Shauna Kravec and Timothy Maxwell and Sam McCandlish and Kamal Ndousse and Oliver Rausch and Nicholas Schiefer and Da Yan and Miranda Zhang and Ethan Perez},
      year={2023},
      eprint={2310.13548},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

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dataset_licence({ "id": "meg-tong/sycophancy-eval" })
signal: "permissive"
stated_licence: "mit"
sources: 0