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.
 
-##Dataset Features
+## Dataset Features
 
-- **High-Quality Data:** 1759 routes with 100 % route completion and zero infractions
+- **High-Quality Data:** 1759 routes with 100 % route completion and zero infractions sampled with 2 Hz
 - **Diverse Scenarios:** Covers 38 complex scenarios, including urban traffic, participants violating traffic rules, and high-speed highway driving
 - **Focused Evaluation:** Short routes averaging 160 m in length