mlfoundations-dev/reasoning_shard_52

该数据集包含问题、答案、任务类型、问题编号和集合编号等字段。问题字段和答案字段为字符串类型，用于存储问题的文本和相应的答案。任务类型字段也为字符串类型，可能用于描述问题的具体类型或任务。问题编号和集合编号为整型，可能用于标识数据集中各个问题和集合的索引。数据集分为训练集，共有42个示例，总大小为41006.886854632字节。

The dataset includes fields for problem, answer, task type, problem number, and set number. The problem and answer fields are of string type, used to store the text of the questions and corresponding answers. The task type field is also a string type, possibly used to describe the specific type or task of the questions. The problem number and set number are integer types, possibly used to identify the index of each problem and collection in the dataset. The dataset is split into a training set with a total of 42 examples, with a total size of 41006.886854632 bytes.