dvilasuero/frugalai-text-synthetic

该数据集包含文本和标签两个特征，标签有8个类别，分别代表不同的主题或观点。数据集是通过distilabel工具生成的，并且可以通过提供的pipeline.yaml文件复现生成过程。数据集的大小为小于1K，包含132个训练样本。

This dataset contains a `pipeline.yaml` file that can be used to reproduce the pipeline that generated it in distilabel using the `distilabel` CLI. The dataset features include `text` (string) and `label` (class_label), with labels such as 4_solutions_harmful_unnecessary, 0_not_relevant, etc. The dataset can be loaded using the Hugging Face datasets library, supporting direct loading in Python.