News Article Corpus Small (NAC-S)

该数据集包含了一系列新闻文章，这些文章被划分为多个片段，每个片段包含一年的数据，规模较小。此外，该数据集用于测试在NAC-S数据集上训练的模型的性能。其任务是评估时间性词嵌入的效果。

This dataset consists of a series of news articles, which are divided into multiple segments. Each segment contains data corresponding to one year, and the overall scale of the dataset is relatively small. Additionally, this dataset is employed to test the performance of models trained on the NAC-S dataset. Its core task is to evaluate the effectiveness of temporal word embeddings.