Paper Reviews Dataset

该数据集包含了814篇论文、1148篇评论以及2230个标注句子，总共包含15124个独特的词汇。数据集采用ASP格式表达，用于论文中的实验分析。其规模涵盖了814篇论文、1148篇评论和2230个标注句子，任务是对新冠患者的高效用模式挖掘及预测其重症监护病房的入院情况。

This dataset comprises 814 academic papers, 1148 reviews, and 2230 annotated sentences, with a total of 15,124 unique vocabulary terms. It is formatted in ASP for experimental analyses in academic papers. This dataset covers a scale of 814 papers, 1148 reviews and 2230 annotated sentences, and its core task is to conduct high-utility pattern mining on COVID-19 patients and predict their admission to intensive care units (ICUs).