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nvidia/cascade

CASCADE: Causal Spatio-Temporal Analysis of Driving Environments The CASCADE dataset adds causally-linked, temporally-ordered annotations to 2,000+ 20-second driving clips drawn from the NVIDIA Physical AI Dataset for AV. Each clip is annotated as a temporally ordered structure of environments, agents, traffic control, and actions — explicitly linked by causal and co-reference relations — so that complex driving scenarios can be queried as structured graphs rather than… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/cascade.

Author / organizationnvidia
License (as declared)other
Downloads324 (as reported by Hugging Face)
Likes16
Created14 May 2026
Last updated at source2 October 2026
autonomous-drivingautonomous-vehiclesself-drivingdriving-scenesscene-understandingspatio-temporalcausal-reasoningvideo-understandingannotationsnvidiaphysical-ai
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