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COMPETITION_DESC.md

@@ -21,14 +21,16 @@ This challenge focus on the second question. If you have interest on the first o
 ## Task Description
 The challenge focuses on evaluating novel autonomous driving algorithms based on [HUGSIM](https://github.com/hyzhou404/HUGSIM). Our closed-loop simulator will provide challenging variety of photo-realistic urban scenarios, including oncoming traffic and cut-in driving behaviors. 
 
-Different from common challenges, which expect the submissions as static files, this workshop expects models and code as  
+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.
 
-Both simulator and submitted autonomous driving algorithms will execute online to make sure the closed-loop evaluation. Models and running environments are expected to be submitted to this reason. *If you have concern about the privacy, please refer to the privacy section to check how we protect your privacy. *
+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 information.
 
 ## Privacy
-Your model checkpoints is expected to store in huggingface model hub. We recommend setting it as private. 
+Your model checkpoints should be stored in a private Huggingface model hub.
 
-The tested algorithms are located in huggingface instance server, which will be destroy once the evaluation is finished. We have no authorization to achieve these server either. The behaviors of server are pre-defined in the docker file which is available to participants. 
+The tested algorithms are hosted on a Huggingface instance server, which will be destroyed once the evaluation is complete. We do not have authorization to access the server either. 
+
+The server's behavior is predefined in the Docker file, which is provided to all participants to prevent any cheating.
 
 ## Timeline
 - Challenge Release: June 30, 2025