Dataset · Hugging Face

mlcglab/synwts

Name: synwts
Creator: mlcglab
License: cc-by-sa-4.0
Keywords: task_categories:visual-question-answering, task_categories:video-classification, task_categories:question-answering, task_categories:text-generation, task_categories:video-text-to-text, task_ids:visual-question-answering, task_ids:natural-language-inference, task_ids:closed-domain-qa, task_ids:multiple-choice-qa, annotations_creators:expert-generated, language_creators:expert-generated, source_datasets:WTS (Woven Traffic Safety), language:en, license:cc-by-sa-4.0, modality:video

SynWTS: Synthetic Woven Traffic Safety Dataset SynWTS is a high-fidelity synthetic dataset built as a Digital Twin of the Woven Traffic Safety (WTS) dataset. It is developed for the 2026 AI City Challenge (Track 2) to advance Sim2Real research in transportation safety understanding. Dataset Summary Participants in the Sim2Real challenge must train models exclusively on this synthetic data and evaluate performance on real-world video. SynWTS provides a geometric… See the full description on the dataset page: https://huggingface.co/datasets/mlcglab/synwts.

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Author / organization	mlcglab
License (as declared)	cc-by-sa-4.0
Downloads	165 (as reported by Hugging Face)
Likes	12
Created	20 April 2026
Last updated at source	5 August 2026

traffic-safetysim2realvideo-captioningvqaautonomous-drivingai-city-challengevlmmultimodaldescription

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