autophagycode_D_metrics_he_Qwen3-8B_lr0.0001_correct_g6

该数据集包含与编程或软件工程任务相关的数据，主要特征包括任务ID、入口点、可执行性、正确性、测试通过与失败数量、测试运行时间、错误类型等。此外，还提供了Halstead复杂度指标（如词汇量、长度、体积、难度、工作量）和可维护性指数。数据集分为训练集，包含164个样本，总大小为18960字节。适用于代码质量分析、自动化测试和软件维护性评估等任务。

This dataset comprises data associated with programming or software engineering tasks. Its key features include task ID, entry point, executability, correctness, the number of passed and failed tests, test runtime, error types, and other relevant attributes. Additionally, it provides Halstead complexity metrics (such as vocabulary, length, volume, difficulty, and effort) as well as the Maintainability Index. The dataset is partitioned into a training set containing 164 samples, with a total size of 18,960 bytes. This dataset is suitable for tasks including code quality analysis, automated testing, and software maintainability assessment.