add deep search benchmark

content.py

@@ -23,7 +23,7 @@ To list your method's performance on this leaderboard, email **jialongwu@alibaba
    ```
 2. Include the following details in your email:
    - **User Name**
-   - **Type** (RAG-system or Agent)
+   - **Type** (Deep Search Agent or Web Traverse Agent or RAG-system)
    - **Method Name**
 
 Your method will be evaluated and added to the leaderboard. For reference, check out the [evaluation code](https://github.com/Alibaba-NLP/WebWalker/src/evaluate.py).