argilla/synthetic-text-classification-news-multi-label

该数据集是一个多标签文本分类数据集，主要用于新闻分类。数据集包含100个训练样本，每个样本包含文本和对应的标签。标签类别包括体育、政治、科学、世界新闻、科技、娱乐和商业。数据集是通过distilabel工具生成的，并且提供了一个pipeline.yaml文件，用于复现生成数据集的流程。

This dataset is a multi-label text classification dataset primarily used for news categorization. It contains 100 training examples, each consisting of text and corresponding labels. The label categories include sports, politics, science, world-news, tech, entertainment, and business. The dataset was generated using the distilabel tool and includes a pipeline.yaml file to reproduce the dataset generation process.