荷兰语ADE语料库
包含102份荷兰语重症监护病程记录的语料库,标注了病症、药物及药物不良反应关系,用于ADE检测任务。

基本信息
资源简介
荷兰语ADE语料库
【一句话概览】
本数据集是 figshare 公开的文本数据集,主题涵盖 adverse drug events (ADE)、Side-effects monitoring、natural language preprocessing,可用于医学自然语言处理(实体识别、信息抽取等),CC BY-NC-SA 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Dutch ADE corpus》。项目资助方:ZonMw Goed Gebruik Geneesmiddelen。源站首次发布:2025-07-09。
【数据内容】
源站原始描述:The corpus contains 102 anonymised Dutch Intensive Care progress notes with 16,470 labels, consisting of 8,914 Disorder entities, 5,307 Drug entities, 134 Qualitative Concept entities, 1,501 Indication relations, and 614 Adverse Drug Event (ADE) relations. Annotation reached high agreement for all entities (F1 score 0.7724) with an expected lower agreement for relations (F1 score 0.4327). The Dutch ADE corpus is a real-world data set that can be used to evaluate natural language processing pipel…
【数据结构与技术规格】
数据集 DOI:10.21942/uva.28846991.v2。
【主题与分类】
源站学科分类:Health Sciences。主题标签:adverse drug events (ADE)、Side-effects monitoring、natural language preprocessing。
【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://uvaauas.figshare.com/articles/dataset/Dutch_ADE_corpus/28846991
使用许可:CC BY-NC-SA 4.0(https://creativecommons.org/licenses/by-nc-sa/4.0/)。
规范引用:Klopotowska, J.E.; Murphy, Rachel; Calixto, Iacer (2025). Dutch ADE corpus. University of Amsterdam / Amsterdam University of Applied Sciences. Dataset
【使用注意】
· 源站最后修改于 2026-01-27,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。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放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(Figshare)
- 源站标题:Dutch ADE corpus
- DOI:10.21942/uva.28846991.v2
- 发布日期:2025-07-09
- 源站页面:https://uvaauas.figshare.com/articles/dataset/Dutch_ADE_corpus/28846991
源站:https://uvaauas.figshare.com/articles/dataset/Dutch_ADE_corpus/28846991/1
按页面 Download 按钮获取。
数据说明
The corpus contains 102 anonymised Dutch Intensive Care progress notes with 16,470 labels, consisting of 8,914 Disorder entities, 5,307 Drug entities, 134 Qualitative Concept entities, 1,501 Indication relations, and 614 Adverse Drug Event (ADE) relations. Annotation reached high agreement for all entities (F1 score 0.7724) with an expected lower agreement for relations (F1 score 0.4327). The Dutch ADE corpus is a real-world data set that can be used to evaluate natural language processing pipelines for ADE detection tasks. Although the corpus was developed for drug-related acute-kidney injury, 158 additional ADEs were identified. The combination of iterative annotation guideline development and double annotation followed by adjudication produced high quality annotations.
Re-use of the Dutch ADE Corpus is possible upon reasonable request and subject to certain limitations. Access requests and terms of use can be found here.
Please use the following citation to give the authors credit for their work, should you use or refer to the Dutch ADE Corpus: Murphy, R.M., Dongelmans, D.A., de Keizer, N.F. et al. Creation of a gold standard Dutch corpus of clinical notes for adverse drug event detection: the Dutch ADE corpus. Lang Resources & Evaluation (2025). https://doi.org/10.1007/s10579-025-09832-5
许可
CC BY-NC-SA 4.0
引用
学术使用请引用 DOI 10.21942/uva.28846991.v2(source: https://uvaauas.figshare.com/articles/dataset/Dutch_ADE_corpus/28846991)。
数据缺失?
依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。
⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。




