All datasets / Yuan-avs
Yuan-avs/Nurisk
The declared licence (mit) is classified as permissive.
- Declared licence
- mit, from the tagEvidence: README.md at a1f2eed
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at a1f2eed
- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Tasks
Citation text from the card
If you use this dataset, please cite the authors accordingly.
@article{gao2025nurisk,
title={NuRisk: A Visual Question Answering Dataset for Agent-Level Risk Assessment in Autonomous Driving},
author={Gao, Yuan and Piccinini, Mattia and Brusnicki, Roberto and Zhang, Yuchen and Betz, Johannes},
journal={arXiv preprint arXiv:2509.25944} ,
year={2025}
}
If you are interested in foundation model-based scenario generation and scenario analysis, you may also refer to our comprehensive survey, which provides
the first overview of this emerging research area.
Publication details:
📅 June 2025 – Released on arXiv.
📊 The accompanying repository categorizes 342 papers, including:
93 on scenario generation
54 on scenario analysis
55 on datasets
21 on simulators
25 on benchmark challenges
94 on other related topics
📄 Paper: https://arxiv.org/abs/2506.11526
💻 GitHub: https://github.com/TUM-AVS/FM-AD-Survey
The same facts for your agent
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dataset_licence({ "id": "Yuan-avs/Nurisk" })
signal: "permissive"
stated_licence: "mit"
sources: 0