nic-festa/amazon-polarity-processed

这是一个包含文本数据和标签的数据集，用于文本分类任务。数据集特征包括标签（分为负面和正面）、标题、内容、input_ids和attention_mask。数据集分为训练集和测试集，分别包含360万和40万个样本。

This dataset contains text data and labels for text classification tasks. The features include label (negative and positive), title, content, input_ids, and attention_mask. The dataset is split into a training set with 3.6 million examples and a test set with 400,000 examples.