WOS-141
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/kk7nc/HDLTex
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资源简介：
该数据集包含了来自科学网（Web of Science）的科学文章摘要，它采用了一种分层的科学分类法，将科学领域从大类细分至专业子领域。此外，该数据集的结构是分层的，能够表示从广泛领域到专业子领域的层级关系。该数据集包含了141个标签，其任务是进行分层文本分类。
This dataset comprises scientific article abstracts sourced from the Web of Science. It adopts a hierarchical scientific classification framework that subdivides scientific disciplines from broad top-level categories down to specialized subfields. Furthermore, the dataset features a hierarchical structure that can represent the tiered relationships spanning from general scientific domains to specialized subfields. The dataset contains 141 labels, and its target task is hierarchical text classification.
提供机构：
Web of Science
