eligapris/can-ai-reason

该数据集名为can-ai-reason，包含了一个`pipeline.yaml`文件，用于在distilabel中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），其中标签分为三类：pro-ai-reasoning（支持AI推理）、anti-ai-reasoning（反对AI推理）和neutral-ai-reasoning（中立AI推理）。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, named can-ai-reason, includes a `pipeline.yaml` file that can be used to reproduce the pipeline that generated it in distilabel. The dataset structure consists of two features: text and label, where the label is categorized into three classes: pro-ai-reasoning, anti-ai-reasoning, and neutral-ai-reasoning. The dataset has only one configuration named default and can be loaded using Hugging Faces `load_dataset` function.