In this paper, we investigate the issue of hate speech by presenting a novel task of translating hate speech into non-hate speech text while preserving its meaning. As a case study, we use Spanish texts. We provide a dataset and several baselines as a starting point for further research in the task. We evaluated our baseline results using multiple metrics, including BLEU scores. The aim of this study is to contribute to the development of more effective methods for reducing the spread of hate speech in online communities.

翻译：本文通过提出一项将仇恨言论翻译为非仇恨言论文本并保留其含义的新任务，探讨了仇恨言论问题。以西班牙语文本作为案例研究，我们提供了一个数据集和若干基线方法，作为该任务后续研究的起点。我们使用包括BLEU分数在内的多种指标评估了基线结果。本研究旨在为开发更有效的方法以减少在线社区中仇恨言论的传播做出贡献。