NORA is a graph-structured benchmark for grounded normative reasoning over egocentric visual scenes. Each example asks models to reason from visible evidence, identify normatively relevant facts, construct reasons, consider possible actions, and represent the observed action in a structured fact-reason-action graph.
NORA is associated with the paper:
NoRA: Evaluating Grounded Reasonableness in Visual First-person Normative Action Reasoning… See the full description on the dataset page:
https://huggingface.co/datasets/MINTLABJHUANU/NoRA.
