ClarusC64/autonomous-driving-social-coherence-field-mapping-v0.1
What this dataset tests Whether a system can score the coherence of a multi-agent intention field. This is not collision prediction. It is social alignment measurement. Required outputs dominant_scene_intention coherence_score tension_index conflict_pairs cooperative_clusters right_of_way_clarity Scoring conventions coherence and tension range 0 to 1 right_of_way_clarity is low, medium, or high conflict_pairs names agent pairs likely to contest the same space… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/autonomous-driving-social-coherence-field-mapping-v0.1.
What this dataset tests
Whether a system can score the coherence of a multi-agent intention field.
This is not collision prediction. It is social alignment measurement.
Required outputs
- dominantsceneintention
- coherence_score
- tension_index
- conflict_pairs
- cooperative_clusters
- rightofway_clarity
Scoring conventions
- coherence and tension range 0 to 1
- rightofway_clarity is low, medium, or high
- conflict_pairs names agent pairs likely to contest the same space
- cooperative_clusters names agent groups whose intentions align
Use case
Layer two of Intention Field and Social Coherence Maps.
Supports downstream:
- conflict likelihood prediction
- resolution window estimation
- safe negotiation policy selection