autophagycode_D_metrics_he_Qwen3-14B_lr0.0001_text_g8

该数据集包含与代码执行和分析相关的信息。数据集包含164个训练样本，总大小为20,108字节。每个样本包含多个特征，包括任务ID、入口点、是否可执行、是否正确、通过和失败的测试数量、测试运行时间、错误类型等。此外，还包含代码复杂度度量（如Halstead词汇量、长度、体积、难度和工作量）以及可维护性指数和定义的函数数量。这些特征表明该数据集适用于代码质量分析、自动化测试和软件维护任务。This dataset encompasses information related to code execution and analysis. It contains 164 training samples with a total size of 20,108 bytes. Each sample includes multiple features, such as task ID, entry point, executability status, correctness status, counts of passed and failed tests, test runtime, error type, and others. Additionally, it incorporates code complexity metrics including Halstead vocabulary, length, volume, difficulty, and effort, as well as the maintainability index and the number of defined functions. These characteristics render this dataset applicable to code quality analysis, automated testing, and software maintenance tasks.