TAUR-dev/evals__COT_gpt4omini_annotator

该数据集包含文档的唯一标识符、文档内容（答案、难度等级、问题、解决方案和主题）、目标、参数、响应和过滤后的响应等字段。文档内容中的答案、问题等字段为字符串类型，难度等级、主题等字段为整型或字符串类型。此外，数据集还包含了训练集的划分信息，训练集共有500个示例，大小为5399418字节。

The dataset includes fields such as unique document identifier, document content (answer, difficulty level, problem, solution, and subject), target, arguments, responses, and filtered responses. The answer, problem, etc., in the document content are of string type, while the difficulty level, subject, etc., are of integer or string type. In addition, the dataset also contains information on the division of the training set, with a total of 500 examples and a size of 5399418 bytes.