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COMPETITION_DESC.md

@@ -25,7 +25,7 @@ The challenge focuses on evaluating autonomous driving algorithms using [HUGSIM]
 
 Unlike typical challenges that require submissions as static files, this competition requires participants to submit models and code. This is because the closed-loop evaluation demands real-time interaction between the driving algorithm and the simulator at every timestep. Please note that your submissions are securely protected and will only be used for closed-loop evaluation. For more information on how we handle your data and ensure privacy, please refer to the Privacy section.
 
-## Primary metric
+## Evaluation Metric
 The primary metric of this challenge is HD-Score (HUGSIM Driving Score) defined as:
 ![hd-score](https://huggingface.co/datasets/XDimLab/competition_public_dataset/resolve/main/hd_score.png)
 where the driving policy items include driving with no collisions (NC) and drivable area compliance (DAC), these subscores are crucial for driving safety. The contributory items include time-to-collision (TTC) and comfort (COM), which may not directly cause failure cases when they are low. The weight for TTC is 5 and the weight for COM is 2. The final HD-Score is averaged across all simulation timestamps and multiplied by the global route completion score R<sub>c</sub>.