manufactoria/has_test

该数据集包含对话信息和对应的真实输出信息。对话信息由内容（content）和角色（role）组成，而真实输出信息包括检查输出（check_output）、描述（description）、是否接受（expected_accepted）、预期输出（expected_output）和输入（input）。此外，数据集还包含数据集名称、难度、标识符、问题类型和名称等元信息。数据集分为训练集，共有132个示例。

The dataset includes conversation information and corresponding ground truth outputs. The conversation information consists of content and role, while the ground truth outputs include check output, description, expected acceptance, expected output, and input. Additionally, the dataset contains metadata such as dataset name, difficulty, identifier, problem type, and name. The dataset is split into a training set with a total of 132 examples.