  This paper introduces Cro-FiReDa, a sentiment-annotated dataset for Croatian
in the domain of movie reviews. The dataset, which contains over 10,000
sentences, has been annotated at the sentence level. In addition to presenting
the overall annotation process, we also present benchmark results based on the
transformer-based fine-tuning approach
