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Dataset assetOpen Source CommunityVisual Question AnsweringAutonomous Driving

OpenDriveLab/DriveLM

The DriveLM dataset supports perception, prediction, planning, behavior and motion tasks through graph‑structured question‑answer pairs. It consists of two parts: DriveLM‑nuScenes and DriveLM‑CARLA. DriveLM‑nuScenes is built on the nuScenes dataset, while DriveLM‑CARLA is collected from the CARLA simulator. Currently, only the training split of DriveLM‑nuScenes is publicly available. The dataset includes a series of questions and answers together with the associated images.

Source
hugging_face
Created
Nov 28, 2025
Updated
Apr 4, 2024
Signals
552 views
Availability
Linked source ready
Overview

Dataset description and usage context

DriveLM: Graph‑Based Visual Question Answering for Driving

Dataset Overview

DriveLM‑Data consists of two parts: DriveLM‑nuScenes and DriveLM‑CARLA. At present, only the training split of DriveLM‑nuScenes is released.

DriveLM‑nuScenes Dataset

  • Data File: v1_0_train_nus.json
  • Content: Contains a series of questions and answers.
  • Image Data: A subset of images used in DriveLM is provided.

Data Structure

The data should be organized as follows:

DriveLM ├── data/ │ ├── QA_dataset_nus/ │ │ ├── v1_0_train_nus.json │ ├── nuscenes/ │ │ ├── samples/

License and Citation

The dataset is licensed under CC‑BY‑NC‑SA 4.0. When using the dataset, please cite the following publications:

BibTeX @article{drivelm_paper2023, title={DriveLM: Driving with Graph Visual Question Answering}, author={Sima, Chonghao and Renz, Katrin and Chitta, Kashyap and Chen, Li and Zhang, Hanxue and Xie, Chengen and Luo, Ping and Geiger, Andreas and Li, Hongyang}, journal={arXiv preprint arXiv:2312.14150}, year={2023} }

BibTeX @misc{drivelm_repo2023, title={DriveLM: Driving with Graph Visual Question Answering}, author={DriveLM contributors}, howpublished={url{https://github.com/OpenDriveLab/DriveLM}}, year={2023} }

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