TAUR-dev/evals__syncot_v2__samples

该数据集包含文档ID、文档内容（答案、难度级别、问题、解决方案、学科和唯一标识符）、目标、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。文档内容主要涉及学科问题和相应的解答。数据集分为训练集，共有500个示例，总大小为110,081,513字节。

The dataset includes fields such as document ID, document content (answer, difficulty level, problem, solution, subject, and unique identifier), target, generation parameters, responses, filtered responses, document hash, prompt hash, target hash, exact match, and extracted answers. The document content mainly involves subject-related questions and corresponding answers. The dataset is split into a training set with a total of 500 examples and a size of 110,081,513 bytes.