yl4300/TAU-Agent-Dataset

This repository contains the dataset associated with the paper TAU-Agent: An Agentic Retrieval-Augmented Framework for Traffic Anomaly Understanding. It includes captions, dataset JSON files, RAG evidence, and other resources used for training and evaluation in the AI City Challenge 2026 tracks. The dataset supports traffic anomaly understanding tasks, including detection, reasoning, and explanation from video inputs. Code: https://github.com/siri-rouser/TAU-Agent

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