Create README.md

README.md

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+---
+license: apache-2.0
+language:
+- en
+pretty_name: robotics
+tags:
+- DriveFusion
+- Robotics
+- VLA
+- VLM
+- MultiModal
+- AutonomousDriving
+---
+# DriveFusion-Data
+
+**DriveFusion-Data** is a large-scale multimodal autonomous driving dataset collected in the CARLA simulator using a privileged rule-based expert policy (PDM-Lite). The dataset contains rich sensor data, vehicle measurements, and language annotations for training vision-language-action (VLA) models.
+
+This dataset is part of the **DriveFusion** project.
+
+---
+
+## Dataset Overview
+
+DriveFusion-Data provides a comprehensive multimodal dataset for autonomous driving research, including:
+
+- RGB camera images from **360° multi-camera coverage** (front, front-left, front-right, back-left, back-right)  
+- LiDAR point clouds  
+- Semantic segmentation maps  
+- Depth maps  
+- Bounding boxes  
+- Vehicle and simulator measurements  
+- Natural language annotations (VQA, commentary, instruction following)
+
+The dataset is generated using a CARLA-based data collection framework with multi-town, multi-scenario, and multi-sensor configurations.
+
+---
+
+## Data Collection Framework
+
+The data was collected using the **DriveFusion CARLA Data Collection Framework**, which provides:
+
+- Rule-based expert driving using **PDM-Lite**  
+- Multi-camera **360° sensor recording** and LiDAR  
+- Weather and lighting augmentation  
+- Scenario-based route execution  
+- Automated batch data generation on clusters (SLURM)  
+- Format conversion and dataset validation tools  
+
+**Collection code repository:**  
+[https://github.com/DriveFusion/carla-data-collection](https://github.com/DriveFusion/carla-data-collection)
+
+---
+
+## Dataset Sources and Attribution
+
+DriveFusion-Data builds upon several open-source frameworks and datasets:
+
+**Core Simulation:**
+
+- [CARLA Simulator](https://github.com/carla-simulator/carla)  
+- [CARLA Leaderboard 2.0](https://github.com/carla-simulator/leaderboard)  
+- [Scenario Runner](https://github.com/carla-simulator/scenario_runner)  
+
+**Reference Methods:**
+
+- [DriveLM](https://github.com/OpenDriveLab/DriveLM) (PDM-Lite autopilot and VQA generation)  
+
+**Language Dataset Reference:**
+
+- [SimLingo Dataset](https://huggingface.co/datasets/RenzKa/simlingo)  
+
+Users must comply with the licenses of all referenced frameworks and datasets.
+
+---
+
+## Dataset Format
+
+Two main formats are provided:
+
+**Pre-DriveFusion Format**  
+- Raw sensor data and measurements stored in compressed JSON and sensor files.
+
+**DriveFusion Format**  
+- Standardized multimodal structure for end-to-end VLA training.  
+- Includes aligned sensor data and language annotations.
+
+---
+
+## Intended Use
+
+This dataset is designed for:
+
+- Vision-Language-Action (VLA) model training  
+- Autonomous driving research and benchmarking  
+- Multimodal perception and planning research  
+- Language grounding in driving environments  
+- Embodied AI and robotics research
+
+---
+
+## License and Attribution
+
+This dataset is derived from simulation and public frameworks. Users must comply with:
+
+- CARLA license  
+- CARLA Leaderboard and Scenario Runner licenses (MIT)  
+- DriveLM license  
+- SimLingo license  
+
+The DriveFusion framework code is released under **Apache 2.0**. Language annotations and third-party components may have additional license restrictions.
+
+---
+
+## Citation
+
+If you use DriveFusion-Data, please cite:
+
+```bibtex
+@misc{drivefusiondata2026,
+  title={DriveFusion-Data: A Large-Scale Multimodal Dataset for Autonomous Driving},
+  author={Samir, Omar and DriveFusion Team},
+  year={2026},
+  url={https://huggingface.co/datasets/DriveFusion/DriveFusion-Data}
+}