Ameeeee/my-distiset-d0b089fc

该数据集是通过distilabel工具创建的，包含一个`pipeline.yaml`文件，用于重现生成数据集的流程。数据集的结构包括两个特征：`text`（文本）和`label`（标签），其中标签分为五类：slush-snow、deep-snow、powder-snow、ice和wet-snow。数据集只有一个配置`default`，并且可以通过Hugging Face的`load_dataset`函数加载。

This dataset contains a `pipeline.yaml` file which can be used to reproduce the pipeline that generated it in distilabel. The dataset examples include two features: `text` and `label`, where `label` is a class label with five categories: slush-snow, deep-snow, powder-snow, ice, and wet-snow. There is only one configuration named `default`, which can be loaded using the `datasets` library.