Datasetpublic

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-onset-detection-v0.1.

sourceHugging Facemitupdated 8mo agoView on Hugging Face

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Dataset Card

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

—decoherenceonsettimestamp
—coherencedropdelta
—affected_modalities
—narrativeconflictflag
—onset_confidence
—earlywarningscore

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 is a prioritized alert score

Use case

Layer two of Anomaly Detection via System-Wide Decoherence.

Supports:

—early anomaly warning before classification
—sensor health monitoring
—policy degradation triggers