dvilasuero/open-source-news

该数据集包含通过distilabel创建的新闻数据，主要用于分析开源新闻的态度。数据集中的每个样本包含文本和标签，标签分为三类：开源反对（open-source-opposition）、中立（neutral）和开源支持（open-source-support）。数据集可以通过Hugging Face的`load_dataset`函数加载，并且包含一个`pipeline.yaml`文件，用于重现生成数据集的管道。

This dataset contains news data created with distilabel, primarily used for analyzing attitudes towards open-source news. Each sample in the dataset includes text and a label, with the labels categorized into three types: open-source-opposition, neutral, and open-source-support. The dataset can be loaded using Hugging Faces `load_dataset` function and includes a `pipeline.yaml` file for reproducing the pipeline that generated the dataset.