Update constants.py

constants.py

@@ -191,15 +191,16 @@ LEADERBORAD_INTRODUCTION = """# V-STaR Leaderboard
     - **Human Alignment:** We conducted extensive experiments and human annotations to validate robustness of V-STaR.
     - **Valuable Insights:** V-STaR reveals a fundamental weakness in existing Video-LLMs regarding causal spatio-temporal reasoning.
     
-    **Join Leaderboard**: Please see the [instructions](https://github.com/Vchitect/VBench/tree/master?tab=readme-ov-file#trophy-leaderboard) for 3 options to participate. One option is to follow [VBench Usage info](https://github.com/Vchitect/VBench?tab=readme-ov-file#usage), and upload the generated `result.json` file here. After clicking the `Submit here!` button, click the `Refresh` button.
+    **Join Leaderboard**: Please contact us to update your results.
     
     **Credits**: This leaderboard is updated and maintained by the team of [V-STaR Contributors]().
     """
 
-SUBMIT_INTRODUCTION = """# Submit on VBench Benchmark Introduction
+SUBMIT_INTRODUCTION = """# Submit on V-STaR Benchmark Introduction
 ## 🎈
 ⚠️ Please note that you need to obtain the file `results/*.json` by running V-STaR in Github. You may conduct an [Offline Eval]() before submitting.
-⚠️ Then, please contact us for updating your results via [email1](zixu.cheng@qmul.ac.uk) or [email2](hu.jian@qmul.ac.uk). 
+
+⚠️ Then, please contact us to update your results via [email1](zixu.cheng@qmul.ac.uk) or [email2](hu.jian@qmul.ac.uk). 
 """
 
 TABLE_INTRODUCTION = """