EffiBench/effibench-x
收藏Hugging Face2025-10-22 更新2025-11-01 收录
下载链接：
https://hf-mirror.com/datasets/EffiBench/effibench-x
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资源简介：
EffiBench-X是一个多语言编程竞赛问题数据集，旨在评估LLM生成的代码的效率。该数据集包含623个问题，涵盖Python、C++、Java、JavaScript、Ruby和Golang六种编程语言，每个问题都配有人类专家的解决方案。数据集支持多语言评估，并提供效率指标和人类专家基线。
EffiBench-X is a multi-language competitive programming problem dataset designed to evaluate the efficiency of LLM-generated code. The dataset includes 623 problems covering six programming languages: Python, C++, Java, JavaScript, Ruby, and Golang, each with expert solutions provided by human experts. The dataset supports multi-language evaluation and provides efficiency metrics and human expert baselines.
提供机构：
EffiBench
