Khaliladib/restaurant-reviews-dataset

该数据集包含餐厅评论的文本和对应的情感标签，标签分为五个类别：非常不满意、满意、中立、不满意和非常满意。数据集通过distilabel工具创建，并提供了如何使用distilabel CLI来重现生成数据集的管道的说明。数据集的结构包括文本和标签两个特征，可以通过Hugging Face的datasets库加载。

This dataset is a restaurant reviews dataset containing text and label parts. The text part is the content of the restaurant reviews, and the label part is the sentiment classification of the reviews, including five categories: very-dissatisfied, satisfied, neutral, dissatisfied, and very-satisfied. The dataset size is 39561 bytes, containing 100 samples. The dataset configuration is named default and can be loaded using the Hugging Face datasets library.