TAUR-dev/evals__long_multiplication__four_digit__train__v3__3to8dig__samples

该数据集包含了文档ID、文档内容（包括答案、问题、问题和解决方案文本）、目标、参数、响应及过滤后的响应等字段。文档内容字段中嵌套了答案、问题、问题和解决方案等子字段。此外，还包括文档哈希值、提示哈希值、目标哈希值和精确匹配标识等元数据。数据集被划分为训练集，共有100个示例。数据集的总大小为400,326字节。

The dataset includes fields such as document ID, document content (including answer, problem, question, and solution text), target, arguments, responses, and filtered responses. The document content field contains nested subfields like answer, problem, question, and solution. In addition, it includes metadata such as document hash, prompt hash, target hash, and exact match indicator. The dataset is split into a training set with a total of 100 examples, and the overall size of the dataset is 400,326 bytes.