sdiazlor/medical-reasoning-dataset

这是一个使用distilabel工具创建的数据集，包含小于1000个示例。数据集适用于文本生成、文本到文本生成和问答等任务。它包含三个字段：prompt、completion和system_prompt，都是字符串类型。数据集提供了一个默认配置，用于指导如何通过物理检查和医疗历史来确定是否患有胃溃疡，并提供了治疗和长期管理胃溃疡的步骤。数据集的结构包括一个详细的步骤指南，回答了用户关于胃溃疡的五个问题。

This dataset is created using the distilabel tool and contains fewer than 1000 examples. It is suitable for tasks such as text generation, text-to-text generation, and question-answering. It includes three fields: prompt, completion, and system_prompt, all of which are string types. The dataset provides a default configuration that guides how to determine if someone has a stomach ulcer through physical examination and medical history, and offers steps for treating and managing stomach ulcers in the long term. The structure of the dataset includes a detailed step-by-step guide, answering five questions users may have about stomach ulcers.