deising/dataset_sr_0_1

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`和`label`，其中`text`是字符串类型，`label`是一个分类标签，包含10个类别，分别对应不同类型的问题，如关于服务、费用、机构、投资组合、技术、可用性、位置、联系方式、职业和社交媒体的问题。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 contains a `pipeline.yaml` file which can be used to reproduce the pipeline that generated it in distilabel. The dataset features include text and label, with labels categorized into multiple types such as questions about services, fees, etc. The dataset is split into a training set containing 10 samples. The dataset configuration is named default and can be loaded using the Hugging Face datasets library.