argilla/synthetic-concise-reasoning-sft

该数据集包含了一个`pipeline.yaml`文件，可用于使用distilabel工具重现数据集生成过程。数据集的结构包括prompt（提示）、completion（完成）和system_prompt（系统提示）三个特征。训练集有5000个示例。该数据集被标记为合成的、使用distilabel创建的、rlaif和datacraft类型。数据集旨在用于简洁推理，并为了与distilabel CLI配合使用而设计。

This dataset includes a `pipeline.yaml` file that can be used to reproduce the dataset generation process with the distilabel tool. The structure of the dataset consists of prompt (prompt), completion (completion), and system_prompt (system prompt) features. There are 5000 examples in the training set. The dataset is tagged as synthetic, created with distilabel, rlaif, and datacraft types. The dataset is designed for concise reasoning and structured for use with the distilabel CLI.