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<p align="center">
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<img src="https://github.com/codefuse-ai/MFTCoder/blob/main/assets/github-codefuse-logo-update.jpg" width="50%" />
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</p>
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<div align="center">
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<a href="README.md" target="_blank">English</a>
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</p>
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<p>
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<img src="https://img.shields.io/github/stars/codefuse-ai/codefuse-evaluation?style=social" alt="GitHub stars"/>
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<img src="https://img.shields.io/github/forks/codefuse-ai/codefuse-evaluation?style=social" alt="GitHub forks"/>
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<img src="https://img.shields.io/github/issues/codefuse-ai/codefuse-evaluation" alt="GitHub issues"/>
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</p>
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CodeFuseEval在HumanEval-x、MBPP的基准上,结合CodeFuse大模型多任务场景,开发的编程领域多任务的评测基准, 可用于评估模型在代码补全,自然语言生成代码,测试用例生成、跨语言代码翻译,中文指令生成代码等多类任务的性能。持续开放中,敬请期待!
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🌐 <a href="README.md" target="_blank">English</a>
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![img](./figures/中文介绍.png)
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## 推理环境:
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bash codefuseEval/script/check_dataset.sh codeInsertion_sklearn
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bash codefuseEval/script/check_dataset.sh codeInsertion_tensorflow
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```

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