autophagycode_metrics_D_metrics_he_unsloth__Qwen3-0.6B-Base-unsloth-bnb-4bit_lr0.0001_gen8

该数据集包含820个训练样本，总大小约99KB，存储为结构化数据文件。主要字段包括：任务标识（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）、测试运行时（test_run_time_ms）、错误类型（error_type）等质量评估指标，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）。数据适用于代码质量分析、缺陷预测或软件工程研究等任务，但未提供具体应用背景说明。

This dataset contains 820 training samples with a total size of approximately 99 KB, stored as structured data files. Its main fields include quality assessment metrics such as task ID (task_id), executable status (is_executable), correctness flag (is_correct), test pass/fail counts (tests_passed/tests_failed), test runtime in milliseconds (test_run_time_ms), error type (error_type), as well as Halstead complexity metrics (vocabulary size, length, volume, difficulty, effort) and the maintainability index (maintainability_index). This dataset is applicable to tasks such as code quality analysis, defect prediction or software engineering research, but no specific application background information is provided.