This dataset is the official release for AI City Challenge 2026
Track 3 — Anomalous Events in Transportation.
It contains:
Training (train/): 44,040 pseudo-labeled multi-task annotations
covering 3,670 CCTV videos (≈26.1 hours: 9.2 hrs anomalous + 16.9 hrs
normal) sourced from eight public datasets.
Test (test/): 960 human-curated annotations covering 80 short
clips trimmed from 17 public YouTube videos. Answers are redacted in
this release;… See the full description on the dataset page:
https://huggingface.co/datasets/nvidia/PhysicalAI-Traffic-Anomaly-Reasoning.
