task_categories:text-classification language:zh license:apache-2.0 size_categories:n<1K format:json modality:text library:datasets library:pandas library:mlcroissant library:polars region:us medical TCM
---
license: apache-2.0
task_categories:
- text-classification
language:
- zh
tags:
- medical
- TCM
pretty_name: SYD_NK
size_categories:
- 1K<n<10K
---


# Introduction
The dataset was cleaned from the Traditional Chinese Medicine Internal Medicine textbook by the Angopulo Technology team. The cleaned data was then proofread and annotated by professional TCM students to ensure its accuracy. The cleaned data is used to train and validate the accuracy of downstream syndrome differentiation tasks based on the pre-trained herberta model.
