MedNLI Dataset

The MedNLI dataset consists of the sentence pairs developed by Physicians from the Past Medical History section of MIMIC-III clinical notes annotated for Definitely True, Maybe True and Definitely False. The dataset contains 11,232 training, 1,395 development and 1,422 test instances. This provides a natural language inference task (NLI) grounded in the medical history of patients.

MedNLI数据集由来自MIMIC-III临床笔记中既往病史部分的医生构建的句子对组成，这些句子对经过了对“绝对真实”、“可能真实”和“绝对不真实”的标注。该数据集包含11,232个训练实例、1,395个开发实例和1,422个测试实例，为基于患者病史的自然语言推理任务（NLI）提供了自然的基础。

搜集汇总

背景与挑战

背景概述

MedNLI是一个由医生标注的临床领域自然语言推理数据集，基于MIMIC-III的临床记录构建，特别关注已故患者的病史部分以确保隐私。该数据集旨在提升深度学习模型在医疗等知识密集型领域的泛化能力。