turing-motors/STRIDE-QA-Dataset

STRIDE-QA是一个大规模视觉问答（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270K帧的16M问答对，带有密集注释，包括3D边界框、分割掩码和多目标跟踪。数据集分为三类问答：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。数据格式包括前摄像头图像和JSONL注释，提供了详细的字段描述和示例记录。

STRIDE-QA 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 M QA pairs over 270 K 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. It provides front camera images and JSONL annotations with detailed field descriptions and example records.