sci-benchmark/self-contradictory

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The declared licence (mit) is classified as permissive.

Declared licence: mit, from the tagEvidence: README.md at f92d15f
Licence files: No licence file at the top level of the repositoryEvidence: file list at f92d15f
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Citation text from the card

@inproceedings{gao2024dissecting,
  title={Dissecting dissonance: Benchmarking large multimodal models against self-contradictory instructions},
  author={Gao, Jin and Gan, Lei and Li, Yuankai and Ye, Yixin and Wang, Dequan},
  booktitle={European Conference on Computer Vision},
  pages={404--420},
  year={2024},
  organization={Springer}
}

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dataset_licence({ "id": "sci-benchmark/self-contradictory" })
signal: "permissive"
stated_licence: "mit"
sources: 0