update about

src/about.py

@@ -80,22 +80,30 @@ class Tasks(Enum):
 TITLE = """
 <div align="center">
     <a href="https://imgbb.com/">
-        <img src="https://i.ibb.co/zHzhXqb/Smile-Group-Logo.png" alt="Smile-Group-Logo" border="0">
+        <img src="https://i.ibb.co/zHzhXqb/Smile-Group-Logo.png" alt="Smile-Group-Logo" border="0" width="800" height="auto">
     </a>
 </div>
 """
 
 
 
-
 INTRODUCTION_TEXT = """
-Welcome to the Arabic MMMLU Evaluation for LLMs Leaderboard for the MMMLU dataset evaluation. This leaderboard displays the performance of various language models on the MMMLU dataset across different subjects.
+<div style="background-color:#001f3f; padding: 20px; border-radius: 10px;">
+    <h1 style="color:#ffffff; font-family: Arial, sans-serif; text-align: center;">
+        Welcome to <span style="color:#f39c12;">BASMA</span>: Benchmark for Arabic System in Multitask Assessment
+    </h1>
+    <p style="color:#d4d4d4; font-family: 'Verdana', sans-serif; font-size: 18px; text-align: center;">
+        This leaderboard showcases the performance of various Arabic large language models on the 
+        <strong>new released MMMLU OpenAI dataset</strong> across different subjects.
+    </p>
+</div>
 """
 
+
 LLM_BENCHMARKS_TEXT = """
-## About the MMMLU Benchmark
+## About BASMA
 
-The Massive Multitask Multilingual Language Understanding (MMMLU) benchmark is designed to evaluate models on a wide range of subjects.
+BASMA is based on The Massive Multitask Multilingual Language Understanding (MMMLU) benchmark which is designed to evaluate Arabic models on a wide range of subjects.
 
 ## How to Interpret the Leaderboard