stefanocarrera/autophagycode_D_he_train-mercury_Qwen3-0.6B_strategy_trust_t1_g8_metrics

该数据集包含代码相关任务的元数据，用于分析代码质量和执行结果。特征包括任务ID、入口点、可执行性、正确性、测试通过/失败数、测试运行时间、错误类型、Halstead复杂度指标（如词汇量、长度、体积、难度、努力程度、时间）、圈复杂度、可维护性指数、代码行数（LOC和SLOC）、注释百分比、TTR（类型-标记比率）、标记字典、香农熵、预测熵（均值和最大值）、定义函数数量以及入口点重复标志。数据集分为训练集，包含164个样本，总大小约240KB，下载大小约104KB。

This dataset contains metadata for code-related tasks, designed for analyzing code quality and execution outcomes. Features include task ID, entry point, executability, correctness, tests passed/failed, test run time, error type, Halstead complexity metrics (e.g., vocabulary, length, volume, difficulty, effort, time), cyclomatic complexity, maintainability index, lines of code (LOC and SLOC), comment percentage, TTR (Type-Token Ratio), token dictionary, Shannon entropy, predictive entropy (mean and max), number of functions defined, and entry point repetition flag. The dataset is split into a training set with 164 examples, total size approximately 240KB, and download size approximately 104KB.