autophagycode_D_metrics_he_Qwen3-14B_lr0.0001_trust_g8

该数据集包含164个代码分析样本，存储为训练集。每个样本包含14个结构化特征：1) 基础标识（task_id, entry_point）；2) 代码执行状态（is_executable, is_correct）；3) 测试结果（tests_passed, tests_failed, test_run_time_ms, error_type）；4) 代码复杂度指标（halstead_vocabulary, halstead_length等5项Halstead度量）；5) 可维护性指数（maintainability_index）。数据集大小为19,049字节，适用于代码质量评估、缺陷预测等软件工程任务。

This dataset comprises 164 code analysis samples stored as the training set. Each sample includes 14 structured features: 1) Basic identifiers (task_id, entry_point); 2) Code execution status (is_executable, is_correct); 3) Test results (tests_passed, tests_failed, test_run_time_ms, error_type); 4) Code complexity metrics (five Halstead measures including halstead_vocabulary, halstead_length, etc.); 5) Maintainability index (maintainability_index). The dataset has a size of 19,049 bytes and is applicable to software engineering tasks such as code quality assessment and defect prediction.