CodeEditorBench_Plus
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/CodeEditorBench/CodeEditorBench
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资源简介：
该数据集由Guo等人（2024年）引入，旨在测试大型语言模型（LLMs）在代码编辑任务中的表现，这些任务包括调试、翻译、润色以及需求转换等。该数据集遵循Apache License 2.0许可协议，并从这些任务中随机选取了80个样本。该数据集的任务类型为代码编辑。
This dataset was introduced by Guo et al. (2024) to evaluate the performance of Large Language Models (LLMs) on code editing tasks, which include code debugging, code translation, code polishing, and requirement transformation. It is licensed under the Apache License 2.0, and 80 samples were randomly selected from these tasks. The task type of this dataset is code editing.
提供机构：
CodeEditorBench
