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Applying SOTA models for Persian hate-speech detection on ParsHate shows moderate performance, especially with samples from earlier years, and low performance with target identification, which emphasizes the diverse sampling of hate speech in ParsHate and its challenging nature that requires more advanced methods for better performance.