In fact, the main difference when increasing the size of the training set is that the variance decreases: the mean progresses as well, but the most important observation that can be made from Figure 1 is that, as the size of the training set increases, all the languages reach a high level of performance.
even if a small training set might suffice to obtain an accurate tokenizer, training it with a large number of sentence makes it more likely to be accurate.