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SynStard-1000

SynStard-1000 Dataset Summary 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. Dataset Structure . ├── map/ │ └── all.tsv │── text/ │ ├── en/ │ │ ├── en.txt │ │ ├── en_1.txt │ │ ├── ... │ │ ├──… See the full description on the dataset page: https://huggingface.co/datasets/cksqs/SynStard-1000.

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