turing-motors/STRIDE-QA-Dataset-Mini

STRIDE-QA-Dataset-Mini是一个大规模的视觉问答（VQA）数据集，专注于自动驾驶中的物理基础时空推理。该数据集基于东京100小时的多传感器驾驶数据构建，包含270,000帧中的1600万个问答对，带有密集的注释，包括3D边界框、分割掩码和多目标跟踪。数据集分为对象中心空间问答、自我中心空间问答和自我中心时空问答三类，每类包含特定类型的问题和数据字段。

STRIDE-QA-Dataset-Mini is a large-scale visual question answering (VQA) dataset for physically grounded spatiotemporal reasoning in autonomous driving. Constructed from 100 hours of multi-sensor driving data in Tokyo, it offers 16 million QA pairs over 270,000 frames with dense annotations including 3D bounding boxes, segmentation masks, and multi-object tracks. The dataset is categorized into Object-centric Spatial QA, Ego-centric Spatial QA, and Ego-centric Spatiotemporal QA, each with specific types of questions and data fields.