TAUR-dev/evals__syncotv1_gpt4omini_annotator

该数据集包含了文档ID、文档内容（答案、难度级别、问题、解决方案、主题、唯一标识符）、目标、参数（生成参数）、响应、过滤后的响应、文档哈希、提示哈希、目标哈希、精确匹配和提取的答案等字段。数据集分为训练集，其中训练集包含500个示例，大小为24551112字节。

The dataset includes fields such as document ID, document content (answer, difficulty level, problem, solution, subject, unique identifier), target, parameters (generation parameters), response, filtered response, document hash, prompt hash, target hash, exact match, and extracted answers. The dataset is split into a training set, which contains 500 examples and is 24551112 bytes in size.