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update readme

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  ---
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- title: Multilingual MMLU Benchmark Leaderboard
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- emoji: πŸ₯‡
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- colorFrom: green
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- colorTo: indigo
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  sdk: gradio
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  app_file: app.py
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  pinned: true
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  license: apache-2.0
 
 
 
 
 
 
 
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  ---
 
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  # Multilingual MMLU Benchmark Leaderboard
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  Welcome to the **Multilingual MMLU Benchmark Leaderboard**! This leaderboard is designed to assess the performance of both open-source and closed-source language models on the **Multilingual MMLU (Massive Multitask Language Understanding)** benchmark. The benchmark evaluates the memorization, reasoning, and linguistic capabilities of models across a wide range of languages, making it a crucial tool for comparing multilingual AI performance.
 
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+ title: 🌐 Multilingual MMLU Benchmark Leaderboard
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+ emoji: πŸ†
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+ colorFrom: teal
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+ colorTo: purple
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  sdk: gradio
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  app_file: app.py
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  pinned: true
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  license: apache-2.0
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+ description: "Compare multilingual models on the MMLU benchmark leaderboard across languages and tasks"
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+ tags:
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+ - multilingual
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+ - benchmark
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+ - MMMLU
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+ - leaderboard
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+ - machine learning
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  ---
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+
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  # Multilingual MMLU Benchmark Leaderboard
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  Welcome to the **Multilingual MMLU Benchmark Leaderboard**! This leaderboard is designed to assess the performance of both open-source and closed-source language models on the **Multilingual MMLU (Massive Multitask Language Understanding)** benchmark. The benchmark evaluates the memorization, reasoning, and linguistic capabilities of models across a wide range of languages, making it a crucial tool for comparing multilingual AI performance.