update about

src/about.py

@@ -1,14 +1,15 @@
 from enum import Enum
 from dataclasses import dataclass
 
+# Define TaskInfo and Tasks as before
 @dataclass
 class TaskInfo:
     benchmark: str
     col_name: str
     metric: str
 
+# Replace these with actual subjects from your dataset
 class Tasks(Enum):
-    # Replace these with actual subjects from your dataset
     History = TaskInfo(benchmark='History', col_name='History', metric='accuracy')
     Mathematics = TaskInfo(benchmark='Mathematics', col_name='Mathematics', metric='accuracy')
     Science = TaskInfo(benchmark='Science', col_name='Science', metric='accuracy')
@@ -19,3 +20,38 @@ class Tasks(Enum):
     Chemistry = TaskInfo(benchmark='Chemistry', col_name='Chemistry', metric='accuracy')
     Biology = TaskInfo(benchmark='Biology', col_name='Biology', metric='accuracy')
     ComputerScience = TaskInfo(benchmark='Computer Science', col_name='Computer Science', metric='accuracy')
+
+# Now include the variables expected by app.py
+
+TITLE = """
+<h1 align="center">🌐 LLM Leaderboard for MMMLU Evaluation 🌐</h1>
+"""
+
+INTRODUCTION_TEXT = """
+Welcome to the LLM Leaderboard for the MMMLU dataset evaluation. This leaderboard displays the performance of various language models on the MMMLU dataset across different subjects.
+"""
+
+LLM_BENCHMARKS_TEXT = """
+## About the MMMLU Benchmark
+
+The Massive Multitask Multilingual Language Understanding (MMMLU) benchmark is designed to evaluate models on a wide range of subjects.
+
+## How to Interpret the Leaderboard
+
+- **Model**: The name of the model evaluated.
+- **Average ⬆️**: The average accuracy across all subjects.
+- **Subject Columns**: The accuracy (%) for each individual subject.
+
+## How to Submit Your Model
+
+Go to the **Submit here!** tab and provide your model details to have it evaluated and appear on the leaderboard.
+"""
+
+EVALUATION_QUEUE_TEXT = """
+Below are the lists of models that have been evaluated, are currently being evaluated, or are pending evaluation.
+"""
+
+CITATION_BUTTON_LABEL = "Citation"
+CITATION_BUTTON_TEXT = """
+If you use this leaderboard or the MMMLU dataset in your research, please cite:
+