Can you reduce many Naive Bayes training samples to a few big ones?
Your assumption seems to be correct that both approaches are actually equivalent. I can not see any difference here in the propabilities and conditional propabilities for either one way or the other.

That's why the predictions should also be the same for both ways. It is more likely that there is something wrong with your implementation.