Clinical Notes Summarization Dataset

该数据集专门用于评估临床笔记的提取式摘要，重点关注标记与段落之间的相关性，以生成摘要。此外，该数据集还用于比较各种摘要方法的性能，包括基于频率选择的基线方法、图形化方法，以及结合了BERT与K-means的方法。所涉及的任务是临床笔记的提取式摘要。

This dataset is specifically developed for evaluating extractive summarization of clinical notes, focusing on the correlation between tokens and paragraphs to generate summaries. Additionally, it is used to compare the performance of various summarization methods, including frequency-based selection baseline methods, graph-based methods, and methods combining BERT and K-means. The task involved herein is extractive summarization of clinical notes.