Update constants.py

constants.py

@@ -66,14 +66,14 @@ LEADERBOARD_INTRODUCTION_2  = """
     - **Evaluation metrics**: We design MLLM-based, Detection-based, and Tracking-based evaluation metrics for compositional T2V generation, all validated by human evaluations. 
     - **Valuable Insights:** We provide insightful analysis on current models' ability, highlighting the significant challenge of compositional T2V generation.  
     
-    **Join Leaderboard**: Please see the [instructions](https://t2v-compbench.github.io/) for 3 options to participate. One option is to follow [T2V-CompBench Usage info](https://t2v-compbench.github.io/), and upload the generated `.csv` files here. After clicking the `Submit Eval!` button, click the `Refresh` button.
+    **Join Leaderboard**: Please follow the steps in [our github repository](https://github.com/KaiyueSun98/T2V-CompBench/tree/V2) to prepare the videos and run the evaluation scripts. Before uploading the generated `.csv` files here, please conduct a final check by carefully reading this [instruction](https://github.com/KaiyueSun98/T2V-CompBench/tree/V2?tab=readme-ov-file#mortar_board-how-to-join-t2v-compbench-leaderboard).  After clicking the `Submit Eval!` button, click the `Refresh` button. Then, you can successfully showcase your model's performance on our leaderboard!
 
-    **Model Information**: What are the details of these Video Generation Models? See [HERE](https://t2v-compbench.github.io/)
+    **Model Information**: What are the details of these Video Generation Models? See Appendix B of [our paper](https://arxiv.org/abs/2407.14505). We will provide more details soon.
     """
     
 SUBMIT_INTRODUCTION = """# Submit on T2V-CompBench Introduction
 ## 📮
-1. Please note that you need to obtain a list of `.csv` files by running T2V-CompBench in Github. You may conduct an [Offline Check](https://t2v-compbench.github.io/) before uploading.
+1. Please note that you need to obtain a list of `.csv` files by running the evaluation scripts of T2V-CompBench in our Github. You may conduct an [Offline Check](https://github.com/KaiyueSun98/T2V-CompBench/tree/V2?tab=readme-ov-file#mortar_board-how-to-join-t2v-compbench-leaderboard) before uploading.
 2. Then, pack these CSV files into a `ZIP` archive, ensuring that the top-level directory of the ZIP contains the individual CSV files. 
 3. Finally, upload the ZIP archive below.