ArSyTa
收藏arXiv2025-09-30 收录
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资源简介：
该数据集名为ArSyTa，是一个新颖且规模庞大的数据集，包含了827万条引文上下文信息，旨在支持引文推荐算法的研究。它不仅包含了丰富的引文上下文信息，还加入了额外的特征，并以有向图的形式组织。在创建该数据集时，使用了GROBID工具进行有效的解析，并包含了摘要、标题、作者、出版日期以及引文上下文等属性。该数据集的规模达到了827万条引文上下文，其任务是进行引文推荐。
The dataset named ArSyTa is a novel and large-scale corpus containing 8.27 million citation context entries, which is dedicated to supporting research on citation recommendation algorithms. It not only encompasses rich citation context information, but also incorporates additional features, and is structured as a directed graph. During the dataset construction process, the GROBID tool was employed for efficient parsing, and it includes attributes such as abstracts, titles, authors, publication dates, and citation contexts. Boasting a scale of 8.27 million citation context entries, this dataset is tailored for citation recommendation tasks.
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