CoCon: A Data Set on Combined Contextualized Research Artifact Use

CoCon is a large graph data set reflecting the combined use of research artifacts, contextualized in academic publications’ full-text. It comprises 35 k artifacts (data sets, methods, models, and tasks) and 340 k publications. The data set is generated from Papers With Code and unarXive. You can find a Python package for loading the data as a NetworkX or Pytorch Geometric graph in this GitHub repository<br>CoCon是一款刻画学术出版物全文语境下研究成果（research artifacts）联合使用场景的大型图数据集。该数据集包含3.5万个研究成果（涵盖数据集、方法、模型与任务四类）以及34万篇学术出版物，其数据来源于Papers With Code与unarXive。您可在该GitHub仓库中找到用于将该数据集加载为NetworkX或PyTorch Geometric图结构的Python工具包。