autophagycode_metrics_D_metrics_he_unsloth__Qwen3-0.6B-Base-unsloth-bnb-4bit_lr0.0001_gen7

该数据集包含与任务执行和代码质量相关的多个特征。主要特征包括任务ID（task_id）、入口点（entry_point）、可执行性（is_executable）、正确性（is_correct）、通过测试数（tests_passed）、失败测试数（tests_failed）、测试运行时间（test_run_time_ms）、错误类型（error_type）以及一系列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）。数据集仅包含训练集（train），共有820个样本，总大小为99,461字节。下载大小为29,881字节。数据集适用于代码质量分析、任务执行评估和软件度量研究等场景。

This dataset contains multiple features related to task execution and code quality. The core features include task ID (task_id), entry point (entry_point), executability (is_executable), correctness (is_correct), number of passed tests (tests_passed), number of failed tests (tests_failed), test run time (test_run_time_ms), error type (error_type), a series of Halstead complexity metrics (vocabulary, length, volume, difficulty, effort), and maintainability index (maintainability_index). The dataset only includes the training set (train), with a total of 820 samples, an overall size of 99,461 bytes, and a download size of 29,881 bytes. This dataset is applicable to scenarios such as code quality analysis, task execution evaluation, and software metrics research.