autophagycode_D_metrics_he_Qwen3-8B_lr0.0001_text_g4

该数据集包含164个代码相关样本的训练集，主要记录程序执行特征与软件复杂度指标。核心字段包括：1) 任务标识（task_id）和入口点（entry_point）；2) 执行状态（is_executable, is_correct）及测试结果（tests_passed, tests_failed）；3) 运行时性能（test_run_time_ms）与错误类型（error_type）；4) Halstead复杂度指标（词汇量、长度、体积、难度、工作量）；5) 可维护性指数（maintainability_index）和函数定义数量（n_func_defined）。数据集体积为20,207字节，适用于代码质量分析、缺陷预测或程序复杂度研究等任务。

This dataset is a training set comprising 164 code-related samples, primarily documenting program execution characteristics and software complexity metrics. Its core fields include:
1) Task identifiers (task_id) and entry points (entry_point);
2) Execution status (is_executable, is_correct) and test results (tests_passed, tests_failed);
3) Runtime performance (test_run_time_ms) and error type (error_type);
4) Halstead complexity metrics including vocabulary size, length, volume, difficulty, and effort;
5) Maintainability index (maintainability_index) and number of defined functions (n_func_defined). The dataset has a total size of 20,207 bytes, and is applicable to tasks such as code quality analysis, defect prediction, and program complexity research.