MetaHate

MetaHate是由IRLab, CITIC研究中心在科鲁尼亚大学创建的一个大型数据集，旨在统一仇恨言论检测的研究努力。该数据集整合了超过60个相关数据集，最终包含1,226,202条来自社交媒体的非重复评论。数据集主要关注英语内容，通过严格的筛选标准，确保数据集的质量和相关性。MetaHate的应用领域广泛，主要用于训练和测试仇恨言论检测模型，以应对数字领域中动态和复杂的仇恨言论问题。

MetaHate is a large-scale dataset created by IRLab, CITIC Research Center at the University of A Coruña, aiming to unify research efforts in hate speech detection. This dataset integrates over 60 relevant datasets, ultimately containing 1,226,202 non-duplicate comments sourced from social media. It primarily focuses on English-language content, and adopts strict filtering criteria to ensure the quality and relevance of the dataset. MetaHate has a wide range of application scenarios, and is mainly used for training and testing hate speech detection models to address the dynamic and complex hate speech issues in the digital domain.