mindchain/my-distiset-63420a29

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），标签有8个类别，分别代表不同的主题，如shipping、price、customer-service等。数据集只有一个配置`default`，可以通过Hugging Face的`load_dataset`函数加载。This dataset has been created with the distilabel tool and includes a `pipeline.yaml` file that can be used to reproduce the pipeline that generated it. The dataset features include text and label, with labels categorized into shipping, price, customer service, and more. The dataset is divided into a training set containing 10 samples. The structure of the dataset shows examples for each configuration, including label and text.