stefanocarrera/autophagycode_D_he_train-mercury_Qwen3-0.6B_strategy_trust_t1_g5_metrics

该数据集包含与编程任务相关的多个特征，包括任务ID、入口点、可执行性、正确性、测试通过情况、测试失败情况、错误类型、代码复杂度指标（如Halstead指标、循环复杂度、可维护性指数）、代码行数（LOC和SLOC）、注释比例、词汇多样性（TTR）、熵值等。数据集共有164个训练样本，主要用于代码质量分析和程序行为评估。

The dataset includes multiple features related to programming tasks, such as task ID, entry point, executability, correctness, test pass/fail status, error type, code complexity metrics (e.g., Halstead metrics, cyclomatic complexity, maintainability index), lines of code (LOC and SLOC), comment percentage, lexical diversity (TTR), entropy values, etc. It contains 164 training samples and is primarily used for code quality analysis and program behavior evaluation.