Update utils.py

utils.py

@@ -33,6 +33,14 @@ Welcome to the MMLU-Pro leaderboard, showcasing the performance of various advan
 
 The MMLU-Pro dataset consists of approximately 12,000 intricate questions that challenge the comprehension and reasoning abilities of LLMs. Below you can find the accuracies of different models tested on this dataset.
 
+For detailed information about the dataset, visit our page on Hugging Face:  https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro. If you are interested in replicating these results or wish to evaluate your models using our dataset, access our evaluation scripts available on GitHub: https://github.com/TIGER-AI-Lab/MMLU-Pro.
+"""
+
+TABLE_INTRODUCTION = """
+    """
+
+LEADERBOARD_INFO = """
+
 ## 1. What's new about MMLU-Pro
 
 Compared to the original MMLU, there are three major differences:
@@ -51,14 +59,6 @@ Compared to the original MMLU, there are three major differences:
   - **TheoremQA:** High-quality human-annotated questions requiring theorems to solve.
   - **Scibench:** Science questions from college exams.
 
-For detailed information about the dataset, visit our page on Hugging Face: MMLU-Pro at Hugging Face. If you are interested in replicating these results or wish to evaluate your models using our dataset, access our evaluation scripts available on GitHub: TIGER-AI-Lab/MMLU-Pro.
-"""
-
-TABLE_INTRODUCTION = """
-    """
-
-LEADERBOARD_INFO = """
-We list the information of the used datasets as follows:<br>
 
 """