Update README.md

README.md

@@ -23,7 +23,7 @@ SimLingo-Data is a large-scale autonomous driving CARLA 2.0 dataset containing s
 - **Large-scale dataset**: 3,308,315 total samples (note: these are not from unique routes as the provided CARLA route files are limited)
 - **Diverse Scenarios:** Covers 38 complex scenarios, including urban traffic, participants violating traffic rules, and high-speed highway driving
 - **Focused Evaluation:** Short routes with 1 scenario (81.5%) or 3 scenarios (18.5%) per route
-- **Data Types**: RGB images (.jpg), LiDAR point clouds (.laz), Sensor measurements (.json.gz), Bounding boxes (.json.gz), Commentary text, Dreamer model outputs
+- **Data Types**: RGB images (.jpg), LiDAR point clouds (.laz), Sensor measurements (.json.gz), Bounding boxes (.json.gz), Language annotations (.json.gz)
 
 ## Dataset Structure
 The dataset is organized hierarchically with the following main components: