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@@ -650,10 +650,6 @@ The benchmark employs a range of evaluation metrics to ensure comprehensive asse
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  - **Overall Score**: For each model, the overall score is calculated by averaging the scores obtained across various tasks and context lengths. This provides a holistic view of the model's performance and its ability to generalize across different types of long-context tasks.
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- ## Usage
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- Researchers and developers can use these datasets to evaluate the long-context understanding abilities of various LLMs. The datasets, codebase, and public leaderboard are open-source to guide forthcoming research in this area.
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  ## Citation
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  _TODO_
 
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  - **Overall Score**: For each model, the overall score is calculated by averaging the scores obtained across various tasks and context lengths. This provides a holistic view of the model's performance and its ability to generalize across different types of long-context tasks.
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  ## Citation
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  _TODO_