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Update content.py

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@@ -14,8 +14,8 @@ Both multilingual and language-specific LLMs are welcome in this leaderboard.
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  We currently evaluate models over four benchmarks:
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  - <a href="https://arxiv.org/abs/1803.05457" target="_blank"> AI2 Reasoning Challenge </a> (25-shot)
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- - <a href="https://arxiv.org/abs/1905.07830" target="_blank"> HellaSwag </a> (10-shot)
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- - <a href="https://arxiv.org/abs/2009.03300" target="_blank"> MMLU </a> (5-shot)
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  - <a href="https://arxiv.org/abs/2109.07958" target="_blank"> TruthfulQA </a> (0-shot)
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  The evaluation data was translated into these languages using ChatGPT (gpt-35-turbo).
 
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  We currently evaluate models over four benchmarks:
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  - <a href="https://arxiv.org/abs/1803.05457" target="_blank"> AI2 Reasoning Challenge </a> (25-shot)
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+ - <a href="https://arxiv.org/abs/1905.07830" target="_blank"> HellaSwag </a> (0-shot)
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+ - <a href="https://arxiv.org/abs/2009.03300" target="_blank"> MMLU </a> (25-shot)
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  - <a href="https://arxiv.org/abs/2109.07958" target="_blank"> TruthfulQA </a> (0-shot)
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  The evaluation data was translated into these languages using ChatGPT (gpt-35-turbo).