ysenarath/moosa2022multilingual

多语言仇恨言论数据集是一个包含多种语言文本的数据集，旨在训练和评估跨语言的仇恨言论检测机器学习模型。该数据集包含翻译后的文本，使得每种语言的例子都被翻译成数据集中的其他语言，以支持更稳健的跨语言仇恨言论检测和分析。数据集的结构包括文本内容、标签（是否为仇恨言论）、语言、原始语言和折叠（训练、测试、验证集）等信息。

The Multilingual Hate Speech Dataset is a collection of text data in multiple languages, designed to train and evaluate machine learning models for hate speech detection across languages. This dataset includes translated texts, with each example in one language translated into all other languages in the dataset to support more robust cross-lingual hate speech detection and analysis. The dataset structure includes fields for the text content, labels (indicating whether the text is hate speech), language, original language, and fold (train, test, validation sets).