Chen-15/AVID

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The declared licence (apache-2.0) is classified as permissive.

Declared licence: apache-2.0, from the tagEvidence: README.md at 6f36554
Licence files: No licence file at the top level of the repositoryEvidence: file list at 6f36554
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Citation text from the card

@inproceedings{chen2026avid,
  title={AVID: Benchmarking Audio-Visual Inconsistency Understanding for Omni-Modal Language Models},
  author={Chen, Zixuan and Wang, Depeng and Lin, Hao and Luo, Li and Xu, Ke and Guo, Ya and Zhu, Huijia and Sun, Tanfeng and Jiang, Xinghao},
  booktitle={Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  year={2026}
}

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dataset_licence({ "id": "Chen-15/AVID" })
signal: "permissive"
stated_licence: "apache-2.0"
sources: 0