SciHTC

我们从ACM数字图书馆中提供的论文中得出SciHTC。我们数据集中的论文的类别信息是根据ACM创建的名为 “ccs” 的类别层次结构树定义的。具体来说，每篇论文都分配给层次树的子分支，该分支由其各自的作者指定。除了类别信息外，scifhtc还包含每篇论文的标题，摘要和作者指定的关键字。We develop SciHTC, a dataset derived from papers retrieved from the ACM Digital Library. The category information of papers in this dataset is defined based on the hierarchical category tree named "ccs" created by ACM. Specifically, each paper is assigned to a sub-branch of this hierarchical tree, which is designated by its respective authors. In addition to the category information, SciHTC also contains the title, abstract, and author-specified keywords of each paper.

搜集汇总

背景与挑战

背景概述

SciHTC是一个基于ACM数字图书馆论文构建的数据集，包含论文的标题、摘要、作者关键词以及基于ACM 'ccs'层次树的类别信息，主要用于文本分类或自然语言处理任务。该数据集由伊利诺伊大学芝加哥分校于2022年发布，规模为3.3MB，涵盖965个文件，适用于学术研究场景。