Wikipedia Articles Link Prediction Dataset

该数据集是一个平衡性良好的数据集，用于根据从文本中提取的词性标注（POS tag）特征来预测维基百科文章之间的链接。该数据集在评估时采用了F1分数，并且公共测试集和私有测试集在数据分布上存在差异。规模方面，数据集分为公共测试集和私有测试集两部分，所涉及的任务是链接预测。

This is a well-balanced dataset intended for predicting hyperlinks between Wikipedia articles, based on part-of-speech (POS tag) features extracted from text. F1-score is employed as the evaluation metric for this dataset, and there are disparities in data distribution between the public test set and the private test set. In terms of its structure, it is split into two subsets: the public test set and the private test set, and the underlying task is link prediction.