This paper introduces the Polish Speech Emotion Recognition Challenge, a shared task aimed at advancing research on cross-lingual emotion recognition in low-resource languages. The challenge’s objective was to develop systems that could recognize emotional states in Polish speech using only multilingual training data, with no access to Polish training examples. The final test set consisted of newly recorded Polish speech samples created specifically for the challenge, ensuring a fully blind evaluation. Participants submitted emotion predictions for six target classes. System performance was assessed using the macro-averaged F1 score as the primary metric.