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OpenCompass Hub
EgoNormia
EgoNormia is a challenging QA benchmark that tests VLMs' ability to reason over norms in context. The datset consists of 1,853 physically grounded egocentric interaction clips from Ego4D and corresponding five-way multiple-choice questions tasks for each.
Evaluation context and evidence
- Source
- OpenCompass Hub
- Publisher
- University of Arizona, Stanford University, etc.
- Benchmark release
- 2025-02-27
- Collected
- 2026-08-18
- Modality
- Not recorded
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 0
This source record has no numeric results in our collection. That does not mean a score of zero or that no public results exist. Consult the original resources above.