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Yuan-avs/Nurisk

1,251 downloads in 30 days4 likesLast modified 29 May 2026View on Hugging Face
Permissive or share-alike

The declared licence (mit) is classified as permissive.

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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

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dataset_licence({ "id": "Yuan-avs/Nurisk" })
signal: "permissive"
stated_licence: "mit"
sources: 0