bigbio/pico_extraction

PICO Annotation数据集是一个专注于医学领域的命名实体识别数据集，特别关注参与者、干预和结果的标注。该数据集包含423个句子，这些句子由3位医学专家进行标注，并通过多数投票方式确定最终的标注结果。数据集对公众开放，且可在PubMed上获取。

The PICO Annotation Dataset is a named entity recognition (NER) dataset targeting the medical domain, with a special focus on annotating Participants, Interventions, and Outcomes. This dataset includes 423 sentences annotated by three medical experts, and the final annotation results were determined through majority voting. The dataset is publicly accessible and can be accessed on PubMed.

原始信息汇总

PICO Annotation 数据集概述

数据集描述

• 语言: 英语
• 许可证: 未知
• 多语言性: 单语种
• 任务: 命名实体识别 (NER)
• 包含内容: 针对423个句子的参与者、干预和结果（PICO任务）的标注，由3位医学专家收集，并通过多数投票确定最终标注。

数据集属性

• 主页: https://github.com/Markus-Zlabinger/pico-annotation
• 是否公开: 是
• 是否可在PubMed上找到: 是

引用信息

@inproceedings{zlabinger-etal-2020-effective, title = "Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports", author = {Zlabinger, Markus and Sabou, Marta and Hofst{"a}tter, Sebastian and Hanbury, Allan}, booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020", month = nov, year = "2020", address = "Online", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2020.findings-emnlp.274", doi = "10.18653/v1/2020.findings-emnlp.274", pages = "3064--3074", }