autophagycode_D_metrics_he_Qwen3-14B_lr0.0001_trust_g7

该数据集包含164个训练样本，主要记录编程任务的执行特征与代码质量指标。数据结构包含14个字段：任务标识符（task_id）、可执行状态（is_executable）、正确性标记（is_correct）、测试通过/失败计数（tests_passed/tests_failed）、运行时（test_run_time_ms）、错误类型（error_type）等核心执行指标，以及Halstead复杂度指标（词汇量、长度、体积、难度、工作量）和可维护性指数（maintainability_index）。数据集总大小19KB，适用于代码质量分析、缺陷预测、程序复杂度评估等软件工程研究任务。

This dataset contains 164 training samples, primarily recording the execution characteristics and code quality metrics of programming tasks. Its data structure includes 14 fields: core execution indicators such as task identifier (task_id), executable status (is_executable), correctness flag (is_correct), test pass/fail counts (tests_passed/tests_failed), runtime (test_run_time_ms), error type (error_type), as well as Halstead complexity metrics (vocabulary, length, volume, difficulty, effort) and maintainability index (maintainability_index). The total size of the dataset is 19 KB, and it is applicable to software engineering research tasks such as code quality analysis, defect prediction, and program complexity evaluation.