All datasets / EmbodiedCity
EmbodiedCity/UrbanVideo-Bench
The declared licence (mit) is classified as permissive.
- Declared licence
- mit, from the tagEvidence: README.md at aa42395
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at aa42395
- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Tasks
Citation text from the card
@inproceedings{zhao-etal-2025-urbanvideo,
title = "{U}rban{V}ideo-Bench: Benchmarking Vision-Language Models on Embodied Intelligence with Video Data in Urban Spaces",
author = "Zhao, Baining and
Fang, Jianjie and
Dai, Zichao and
Wang, Ziyou and
Zha, Jirong and
Zhang, Weichen and
Gao, Chen and
Wang, Yue and
Cui, Jinqiang and
Chen, Xinlei and
Li, Yong",
editor = "Che, Wanxiang and
Nabende, Joyce and
Shutova, Ekaterina and
Pilehvar, Mohammad Taher",
booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = jul,
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.acl-long.1558/",
doi = "10.18653/v1/2025.acl-long.1558",
pages = "32400--32423",
ISBN = "979-8-89176-251-0"
}
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dataset_licence({ "id": "EmbodiedCity/UrbanVideo-Bench" })
signal: "permissive"
stated_licence: "mit"
sources: 0