Wiki

该数据集是从维基百科文章中抽取的一个子集，旨在训练主题分割模型，它放宽了主题限制，包含了多样化的文章内容。该数据集被划分为训练集、验证集和测试集，分布比例为80%、10%和10%。规模上，该数据集包含20,000个文档，其任务是进行主题分割。

This dataset is a subset extracted from Wikipedia articles, designed for training topic segmentation models. It relaxes topic constraints and contains diverse article content. The dataset is split into training, validation, and test sets with a distribution ratio of 80%, 10%, and 10% respectively. In terms of scale, this dataset consists of 20,000 documents, and the targeted task is topic segmentation.