SynStard-1000 is a 1,000-hour synthetic dataset for training and evaluating end-to-end speech-to-speech translation (S2ST) models. It is built from English-Chinese parallel texts in the WMT News Commentary v18 corpus and contains approximately 390,000 sentence pairs with paired synthetic speech.