STRIDE-QA-Mini Autonomous Driving Question Answering Dataset
Date
4 months ago
Size
5.89 GB
License
CC BY-NC-SA 3.0
STRIDE-QA-Mini is a question-answering dataset for autonomous driving, designed to study the spatiotemporal reasoning capabilities of visual language models (VLMs) in autonomous driving scenarios. The dataset contains 103,220 question-answer pairs and 5,539 image samples. The data is derived from real dashcam footage collected in Tokyo (urban, suburban, and highway environments, in various weather conditions).
Dataset structure
- Object-centric Spatial Question Answering (19,895 question-answer pairs): Relationship between two external vehicles
- Egocentric Spatial Question Answering (54,390 question-answer pairs): The relationship between the own vehicle and another vehicle
- Egocentric Spatiotemporal Question Answering (28,935 question-answer pairs): Future distance and direction prediction task
STRIDE-QA-Mini.torrent
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