jplorre/Math-17ans

Math-17ans数据集是通过distilabel工具生成的，包含一个`pipeline.yaml`文件，用于重现生成数据集的流程。数据集的结构包括三个主要特征：`prompt`、`completion`和`system_prompt`，分别表示数学问题的提示、解答和系统提示。数据集包含100个训练样本，总大小为228717字节。数据集的标签包括`synthetic`、`distilabel`、`rlaif`和`datacraft`，表明数据集是合成的，并且使用了distilabel工具生成。

This dataset contains a pipeline.yaml file for reproducing the generation process, designed for a math problem-solving assistant for 17-year-old students. The dataset features include prompt, completion, and system_prompt, all of which are string types. The dataset is divided into a training set with 100 samples. It can be loaded using the Hugging Face datasets library with the default configuration.