HumanEval-X
Introduced by Zheng et al. in CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Evaluations on HumanEval-X
HumanEval-X is a benchmark for evaluating the multilingual ability of code generative models. It consists of 820 high-quality human-crafted data samples (each with test cases) in Python, C++, Java, JavaScript, and Go, and can be used for various tasks, such as code generation and translation.
Papers
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