agentlans/chinese-classification

中文分类数据集旨在对不同形式的中文文本进行分类。每个条目包含一个中文句子及其对应的语言变体标签。数据集的结构包括行和标签，标签用于标识句子的语言变体，如简体中文、繁体中文和粤语。数据集的目的在于将相同的信息重新表述为多标签语言分类问题。应用场景包括语言分类、中文语言的NLP研究、语言检测算法和教育工具。使用说明指出该数据集非常适合训练模型来识别和分类各种形式的中文文本，并且标签清晰，便于集成到机器学习工作流程中。

The Chinese Classification Dataset is designed for classifying sentences in different forms of Chinese text. Each entry consists of a Chinese sentence paired with a label indicating its language variant, including Simplified Chinese (zh), Traditional Chinese (zht), and Cantonese (yue). This dataset is suitable for applications such as language classification, NLP research, language detection algorithms, and educational tools.