  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.
