Curated dataset of progress notes

该数据集包含了487份进展记录，主要用于微调大型语言模型，以便从临床笔记中提取各个部分。此外，该数据集还用于比较经过微调的开源大型语言模型与专有模型的表现。其规模为487份进展记录，任务是对临床笔记进行自动分节处理。

This dataset includes 487 clinical progress notes, primarily serving to fine-tune large language models (LLMs) for extracting distinct sections from clinical notes. Additionally, it is employed to compare the performance between fine-tuned open-source LLMs and proprietary models. The core task of this dataset is automatic sectioning of clinical notes.