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COMPETITION_DESC.md

@@ -23,9 +23,7 @@ This challenge focus on the second question regarding autonomous driving algorit
 ![teaser](https://huggingface.co/datasets/XDimLab/competition_public_dataset/resolve/main/competition_2.png)
 The challenge focuses on evaluating autonomous driving algorithms using [HUGSIM](https://github.com/hyzhou404/HUGSIM), a photorealistic, closed-loop driving simulator. HUGSIM provides a diverse set of challenging, photo-realistic urban scenarios, including oncoming traffic and cut-in behaviors.
 
-Unlike typical challenges that require submissions as static files, this workshop requires models and code as submissions due to the nature of closed-loop simulation. Specifically, the interaction between autonomous driving algorithms and the simulator is unpredictable, and results will only be available once the simulation concludes.
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-For this reason, both the simulator and the submitted autonomous driving algorithms will run online to ensure closed-loop evaluation and prevent overfitting. Your privacy is our top priority in this competition. If you have any concerns regarding privacy, please refer to the privacy section to learn how we safeguard your intellectual properties.
+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
 The primary metric of this challenge is HD-Score (HUGSIM Driving Score) defined as: