autophagycode_D_metrics_he_Qwen3-14B_lr0.0001_correct_g10

该数据集包含164个训练样本，主要记录编程任务相关的执行指标与代码复杂度特征。每个样本包含14个字段：任务ID（task_id）、入口点（entry_point）、可执行状态（is_executable）、正确性标记（is_correct）、通过/失败的测试用例数（tests_passed/tests_failed）、测试运行时间（test_run_time_ms）、错误类型（error_type），以及5个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18.7KB，适用于代码质量分析、程序修复或自动化测试等任务。

This dataset comprises 164 training samples, primarily documenting execution metrics and code complexity features associated with programming tasks. Each sample consists of 14 fields: task ID (task_id), entry point (entry_point), executable status (is_executable), correctness flag (is_correct), number of passed and failed test cases (tests_passed/tests_failed), test run time in milliseconds (test_run_time_ms), error type (error_type), five Halstead complexity metrics (vocabulary, length, volume, difficulty, effort), and maintainability index (maintainability_index). The total size of the dataset is 18.7 KB, and it is suitable for tasks such as code quality analysis, program repair, and automated testing.