A5hbr1ng3r/ModSCAN

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The declared licence (mit) is classified as permissive.

Declared licence: mit, from the tagEvidence: README.md at 9f836e7
Licence files: No licence file at the top level of the repositoryEvidence: file list at 9f836e7
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Citation text from the card

@inproceedings{JLSLBZ24,
author = {Yukun Jiang and Zheng Li and Xinyue Shen and Yugeng Liu and Michael Backes and Yang Zhang},
title = {{ModSCAN: Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities}},
booktitle = {{Conference on Empirical Methods in Natural Language Processing (EMNLP)}},
pages = {12814-12845},
publisher = {ACL},
year = {2024}
}

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dataset_licence({ "id": "A5hbr1ng3r/ModSCAN" })
signal: "permissive"
stated_licence: "mit"
sources: 0