Artificial Intelligence and the Fight Against COVID-19

Datasets analysed in a paper mapping AI research activity against COVID-19. Includes:-rxiv metadata: A dataset with metadata about 1.8m papers from arXiv, biorXiv and medrXiv as of end May 2020 enriched with dummies about whether the papers are related to AI and/or COVID-19 research (updated 22/06/2020 to fix some ids)-rxi_geo: A dataset with geographical metadata for papers based on the institutional affiliations of their authors after matching with the GRID database.-covid_semantic: A dataset with topic information about COVID-19 papers based on a semantic analysis of their abstracts, including the clusters where papers have been classified and their topic mixes (updated 22/06/2020 to fix some ids).-citation_metadata: Two JSON objects. One contains a lookup between COVID-19 related papers in the rXiv corpus and the papers they cite. Another contains metadata about the cited papers including their fields of study.-mag_fos: A dataset with the Microsoft Academic Graph field of study hierarchy we use in our analysis (added 22 June 2020)Each zipped folder includes a data dictionary.For information about data processing and analysis in: https://github.com/nestauk/ai_covid_19

本研究论文中分析了与COVID-19疫情相关的AI研究活动所涉及的数据集，具体包括以下内容：
- arXiv、biorXiv和medrXiv数据库中截至2020年5月底的1.8百万篇论文的元数据集，其中包含关于论文是否与AI或COVID-19研究相关的虚拟变量（于2020年6月22日更新，以修正某些ID）
- rxi_geo数据集，包含基于作者所属机构的地理位置元数据
- covid_semantic数据集，基于论文摘要的语义分析，提供了关于COVID-19论文的主题信息，包括论文被分类的聚类及其主题混合情况（于2020年6月22日更新，以修正某些ID）
-citation_metadata：两个JSON对象。一个对象包含rXiv语料库中与COVID-19相关的论文及其所引用的论文之间的查找关系。另一个对象包含所引用论文的元数据，包括其研究领域。
-mag_fos数据集，包含我们在分析中使用的Microsoft Academic Graph学科领域层级结构（于2020年6月22日添加）。每个压缩文件夹均包含数据字典。有关数据处理和分析的信息，请参阅https://github.com/nestauk/ai_covid_19。