pengyueli/RAF_SciSciNet

该数据集是RAF-Ready SciSciNet，一个经过处理的版本，基于SciSciNet-v2大规模科学学数据集，包含学术出版物元数据。它专为支持检索增强的数据集组装公平聚类（RAF）框架而设计，用于解决公平聚类中少数群体代表性不足的问题。数据集包括查询数据集（作为初始数据集D_q）和外部源文件（作为候选数据源），旨在通过检索和选择真实外部样本来增强原始数据，以改善多数-少数群体在嵌入空间中的分布对齐，从而在下游聚类前减少偏差。This dataset is RAF-Ready SciSciNet, a processed version based on SciSciNet-v2, a large-scale science-of-science dataset containing scholarly publication metadata. It is designed to support the Retrieval-Augmented Dataset Assembly for Fair Clustering (RAF) framework, which addresses minority under-representation in fair clustering. The dataset includes a query dataset (used as the initial dataset D_q) and external source files (used as candidate data sources), aiming to augment the original data by retrieving and selecting real external samples to improve majority-minority distributional alignment in the embedding space, thereby reducing bias before downstream clustering.