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A dataset is a collection of data used to train a particular neural network model. Depending on the dataset, the neural network may have different speech patterns or, in the case of generation, different styles.
The quality of the results produced by a neural network directly depends on the size of the dataset it was trained on. Therefore, more popular models are likely to generate higher-quality results.