Update README.md

README.md

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 ## Description
 PDM-Lite is a state-of-the-art rule-based expert system for autonomous urban driving in CARLA Leaderboard 2.0, and the first to successfully navigate all scenarios. This dataset was used to create the QA dataset for DriveLM-Carla, a benchmark for evaluating end-to-end autonomous driving algorithms with Graph Visual Question Answering (GVQA). DriveLM introduces GVQA as a novel approach, modeling perception, prediction, and planning through interconnected question-answer pairs, mimicking human reasoning processes. Additionally, this dataset was used for training Transfuser++ with imitation learning, which achieved 1st place (map track) and 2nd place (sensor track) in the CARLA Autonomous Driving Challenge 2024.
 
+For more information and a script for downloading and unpacking visit our [GitHub](https://github.com/OpenDriveLab/DriveLM/tree/DriveLM-CARLA)
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 ## Dataset Features
 
 - **High-Quality Data:** 1759 routes with 100 % route completion and zero infractions, sampled at 2 Hz, totaling 214,631 frames
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 - **Augmented Data:** Augmented versions of RGB, semantic, depth, and lidar data
 - **Simulator Data:** Comprehensive information on nearby objects
 
-For more information and a script for downloading and unpacking: https://github.com/OpenDriveLab/DriveLM/tree/DriveLM-CARLA
 ## License and Citation
 Apache 2.0 license unless specified otherwise.