dvilasuero/french-news-classification

该数据集名为french-news-classification，包含一个`pipeline.yaml`文件，用于在distilabel中重现生成数据集的流程。数据集的结构包括文本和标签两个特征，标签分为7个类别，分别对应不同的新闻主题：社会新闻、国际新闻、体育新闻、政治新闻、文化新闻、经济新闻和环境新闻。数据集只有一个配置default，可以通过Hugging Face的`load_dataset`方法加载。

This dataset, named french-news-classification, contains a `pipeline.yaml` file that can be used to reproduce the pipeline that generated it in distilabel. The dataset structure includes two features: text and label, with the label divided into 7 categories corresponding to different news topics: society news, international news, sports news, political news, cultural news, economic news, and environmental news. The dataset has only one configuration, default, and can be loaded using Hugging Faces `load_dataset` method.