Commit
af1056f
1 Parent(s): c842ee2

update about

Browse files
Files changed (1) hide show
  1. src/about.py +9 -9
src/about.py CHANGED
@@ -80,17 +80,16 @@ class Tasks(Enum):
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  TITLE = """
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  <div align="center">
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  <a href="https://imgbb.com/">
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- <img src="https://i.ibb.co/zHzhXqb/Smile-Group-Logo.png" alt="Smile-Group-Logo" border="0" width="500" height="auto">
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  </a>
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  </div>
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  """
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-
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  INTRODUCTION_TEXT = """
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  <div style="background-color:#001f3f; padding: 20px; border-radius: 10px;">
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  <h1 style="color:#ffffff; font-family: Arial, sans-serif; text-align: center;">
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- Welcome to <span style="color:#f39c12;">BASMA</span>: Benchmark for Arabic System in Multitask Assessment
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  </h1>
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  <p style="color:#d4d4d4; font-family: 'Verdana', sans-serif; font-size: 18px; text-align: center;">
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  This leaderboard showcases the performance of various Arabic LLMs on the
@@ -101,9 +100,9 @@ INTRODUCTION_TEXT = """
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  LLM_BENCHMARKS_TEXT = """
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- ## About BASMA
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- BASMA is based on The Massive Multitask Multilingual Language Understanding benchmark which is designed to evaluate Arabic models on a wide range of subjects.
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  ## How to Interpret the Leaderboard
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@@ -123,15 +122,16 @@ Below are the lists of models that have been evaluated, are currently being eval
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  CITATION_BUTTON_LABEL = "Citation"
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  CITATION_BUTTON_TEXT = """
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  If you use this leaderboard or the MMMLU dataset in your research, please cite:
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- @misc{BASMA,
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  author = {Nacar, Omer},
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- title = {BASMA: Benchmark for Arabic System in Multitask Assessment},
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  year = {2024},
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- publisher = {Omartificial-Intelligence-Space}}"
 
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  Acknowledgment:
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- Thanks for Prince Sultan University and RIOTU Lab for their support
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  }"""
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  TITLE = """
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  <div align="center">
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  <a href="https://imgbb.com/">
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+ <img src=""https://i.ibb.co/k1gQsTw/Blue-and-White-Modern-Technology-Company-Logo-2.png"" alt="Smile-Group-Logo" border="0" width="500" height="auto">
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  </a>
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  </div>
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  """
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  INTRODUCTION_TEXT = """
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  <div style="background-color:#001f3f; padding: 20px; border-radius: 10px;">
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  <h1 style="color:#ffffff; font-family: Arial, sans-serif; text-align: center;">
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+ Welcome to <span style="color:#f39c12;">ILMAAM</span>: Benchmark for Arabic System in Multitask Assessment
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  </h1>
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  <p style="color:#d4d4d4; font-family: 'Verdana', sans-serif; font-size: 18px; text-align: center;">
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  This leaderboard showcases the performance of various Arabic LLMs on the
 
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  LLM_BENCHMARKS_TEXT = """
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+ ## About ILMAAM
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+ ILMAAM is based on The Massive Multitask Multilingual Language Understanding benchmark which is designed to evaluate Arabic models on a wide range of subjects.
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  ## How to Interpret the Leaderboard
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  CITATION_BUTTON_LABEL = "Citation"
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  CITATION_BUTTON_TEXT = """
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  If you use this leaderboard or the MMMLU dataset in your research, please cite:
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+ @misc{ILMAAM,
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  author = {Nacar, Omer},
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+ title = {ILMAAM: Index for Language Models For Arabic Assessment on Multitasks},
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  year = {2024},
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+ publisher = {Robotics and Internet-of-Things Lab, Prince Sultan University, Riyadh}"
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+
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  Acknowledgment:
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+ Thanks for Prince Sultan University and RIOTU Lab for their support.
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  }"""
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