MIE

该数据集名为MIE，是一个面向医学领域的大规模中文对话信息抽取数据集。在数据处理上，我们采用了原始的数据集划分方式，将其分为训练集、验证集和测试集。具体规模上，训练集包含800个实例，验证集和测试集则各有160个实例。该数据集的主要任务是进行基于对话的信息抽取。

This dataset, named MIE, is a large-scale Chinese conversational information extraction dataset targeting the medical domain. Regarding data processing, we adopted the original dataset splitting strategy, dividing it into training, validation and test sets. Specifically, the training set contains 800 instances, while both the validation and test sets each have 160 instances. The primary task of this dataset is conversational-based information extraction.