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@@ -22,7 +22,7 @@ SimLingo-Data is a large-scale autonomous driving CARLA 2.0 dataset containing s
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  ## Dataset Statistics
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  - **Large-scale dataset**: 3,308,315 total samples (note: these are not from unique routes as the provided CARLA route files are limited)
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  - **Diverse Scenarios:** Covers 38 complex scenarios, including urban traffic, participants violating traffic rules, and high-speed highway driving
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- - **Focused Evaluation:** Short routes with 1 scenario (81.5%) or 3 scenarios (18.5%) per route
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  - **Data Types**: RGB images (.jpg), LiDAR point clouds (.laz), Sensor measurements (.json.gz), Bounding boxes (.json.gz), Language annotations (.json.gz)
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  ## Dataset Structure
 
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  ## Dataset Statistics
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  - **Large-scale dataset**: 3,308,315 total samples (note: these are not from unique routes as the provided CARLA route files are limited)
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  - **Diverse Scenarios:** Covers 38 complex scenarios, including urban traffic, participants violating traffic rules, and high-speed highway driving
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+ - **Focused Evaluation:** Short routes with 1 scenario (62.1%) or 3 scenarios (37.9%) per route
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  - **Data Types**: RGB images (.jpg), LiDAR point clouds (.laz), Sensor measurements (.json.gz), Bounding boxes (.json.gz), Language annotations (.json.gz)
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  ## Dataset Structure