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Dataset · Hugging Face

ClarusC64/autonomous-driving-decoherence-onset-detection-v0.1

What this dataset tests Whether a system can detect the onset of system-wide decoherence. Decoherence means: camera, lidar, radar, and map stop supporting a unified scene narrative. Required outputs decoherence_onset_timestamp coherence_drop_delta affected_modalities narrative_conflict_flag onset_confidence early_warning_score Scoring conventions timestamp is seconds from window start coherence drop delta is 0 to 1 conflict flag is 1 when the narratives diverge early warning… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/autonomous-driving-decoherence-

Author / organizationClarusC64
License (as declared)mit
Downloads138 (as reported by Hugging Face)
Likes0
Created6 February 2026
Last updated at source6 February 2026
clarusc64autonomous-drivingmultisensoranomaly-detectiondecoherenceworld-model
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