TAUR-dev/evals__distilled_r1__long_mult_4dig_EVAL__samples

该数据集包含了一系列文档，每个文档包括答案、问题、问题对应的问句、解决方案等字段。同时，每个文档还包含了目标标签、生成参数、响应、过滤后的响应、文档哈希、提示哈希、目标哈希、精确匹配标记以及提取的答案。数据集分为训练集，提供了字节数和示例数量。

The dataset consists of a series of documents, each including fields such as answers, problems, corresponding questions, solutions, target labels, generation arguments, responses, filtered responses, document hashes, prompt hashes, target hashes, exact match flags, and extracted answers. The dataset is split into a training set with provided byte size and example count.