眼疾鉴别诊断语料库
用于眼疾鉴别诊断的文本语料库。
基本信息
资源简介
眼疾鉴别诊断语料库
【数据集背景】
本数据集源站标题为《ibm-aur-nlp/diagnosis-corpus》。源站首次发布：2021-03-23。
【数据内容】
源站原始描述：# Diagnosis corpus Annotations were made with the brat tool ( and they are provided in brat format. The annotated data is available in folders 0 to 9. Each folder contains text (.txt) and annotation files (.ann). The name of the file indicates the MEDLINE citation from the text is from. ## License This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. ## Citation Please cite our paper if you use this data set. This publication contains a…
【适用方向】
文本类数据可用于医学自然语言处理，如命名实体识别、信息抽取与文本分类。
【获取与许可】
源站页面：https://github.com/ibm-aur-nlp/diagnosis-corpus
使用许可：NOASSERTION。
【使用注意】
· 源站最后修改于 2021-05-10，引用时请注意版本时效。
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载，适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档，适合快速预览和评估数据集质量。
免登录当前数据集主要来源为 Kaggle 公开托管，完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取
git clone https://github.com/ibm-aur-nlp/diagnosis-corpus.git
curl -L -o repo.zip https://github.com/ibm-aur-nlp/diagnosis-corpus/archive/refs/heads/main.zip
unzip repo.zip
源站 README 摘录（使用方式）
Diagnosis corpus
Annotations were made with the brat tool (http://brat.nlplab.org) and they are provided in brat format.
The annotated data is available in folders 0 to 9.
Each folder contains text (.txt) and annotation files (.ann). The name of the file indicates the MEDLINE citation from the text is from.
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
https://creativecommons.org/licenses/by-nc-nd/4.0
Citation
Please cite our paper if you use this data set. This publication contains additional information about the generation of the data set.
@article {Jimeno Yepes2021.05.10.443343,
author = {Jimeno Yepes, Antonio and Martinez Iraola, David and Barnard, Pieter and Joy, Tinu},
title = {A corpus for differential diagnosis: an eye diseases use case},
elocation-id = {2021.05.10.443343},
year = {2021},
doi = {10.1101/2021.05.10.443343},
publisher = {Cold Spring Harbor Laboratory}URL = {https://www.biorxiv.org/content/early/2021/05/10/2021.05.10.443343},
eprint = {https://www.biorxiv.org/content/early/2021/05/10/2021.05.10.443343.full.pdf},
journal = {bioRxiv}
}
数据加载示例（表格/文本类）
import pandas as pd, glob, os
files = (glob.glob(os.path.join(path, "**", "*.csv"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.tsv"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.xlsx"), recursive=True))
print("数据文件:", files)
df = pd.read_csv(files[0])
print(df.shape); print(df.columns.tolist()); print(df.head(3))
需要用于商业化训练或医疗器械注册（NMPA/FDA）？
公开数据往往缺乏完整的病理回证与专家标注。千方医数集依托陕川双基地与超十家三甲医院直连，提供完全合规、去标识化、支持注册级质控的专病数据集交易服务。
