mlfoundations-dev/multiple_samples_rewriting

该数据集是一个包含问题、解决方案、答案和相关元数据的大型集合，用于研究问题解决和推理过程。数据集中的每个记录都包含问题的描述、解决方案、答案的有效性、问题类型、问题来源等信息。此外，还包括是否为合成数据、生成次数、数学验证的正确性等特征。数据集还提供了对话信息，以展示问题解决过程中的交互。数据集分为训练集，共有10000个示例，总大小为474,964,947字节。

This dataset is a large collection that includes problems, solutions, answers, and related metadata for studying problem-solving and reasoning processes. Each record in the dataset contains a description of the problem, solution, validity of the answer, type of problem, source of the problem, and more. Additionally, features such as whether the data is synthetic, the number of generations, the correctness of mathematical verification are included. The dataset also provides conversation information to show interactions during the problem-solving process. The dataset is split into a training set with a total of 10,000 examples and has a total size of 474,964,947 bytes.