Relationship and Entity Extraction Evaluation Dataset (Relations)

This relations dataset was the output of a project aimed to create a 'gold standard' dataset that could be used to train and validate machine learning approaches to natural language processing (NLP). The project was carried out by Aleph Insights and Committed Software on behalf of the Defence Science and Technology Laboratory (Dstl). The data set specifically focusing on entity and relationship extraction relevant to somebody operating in the role of a defence and security intelligence analyst. The dataset was therefore constructed using documents and structured schemas that were relevant to the defence and security analysis domain. A number of data subsets were produced (this is the BBC Online data subset). Further information about this data subset (BBC Online) and the others produced (together with licence conditions, attribution and schemas) many be found at the main project GitHub repository webpage (https://github.com/dstl/re3d). Note that the 'relations.json' file is to be used together with the 'documents.json' and 'entities.json' files (also found on this data.gov.uk webpage and their structures and relationship described on the given GitHub webpage.本关系型数据集为某项目的产出成果，该项目旨在构建一套可用于训练及验证自然语言处理（Natural Language Processing，NLP）相关机器学习方法的「金标准」数据集。本项目由 Aleph Insights 与 Committed Software 受国防科学与技术实验室（Defence Science and Technology Laboratory，Dstl）委托开展。本数据集聚焦于国防与安全情报分析师岗位相关的实体及关系抽取任务，因此采用国防与安全分析领域的相关文档与结构化Schema搭建而成。项目共产出多个数据子集，本次提供的为BBC Online数据子集。有关本BBC Online数据子集及其他数据子集的更多信息（包括许可协议、署名要求及Schema规范），可查阅本项目的GitHub代码仓库主页（https://github.com/dstl/re3d）。请注意，`relations.json` 文件需与 `documents.json` 及 `entities.json` 文件配合使用（后两类文件同样可在本 data.gov.uk 页面获取，其结构与关联关系已在上述GitHub页面中说明）。