Supposed I have three kinds of datasets, I want to use all of them for the model training.
Now I hope that for a given batch, its data should be from the same dataset. But different batches can be randomly from different datasets.
For example, the first batch is from dataset A and the second batch is from dataset B, and so on.
Does anyone have some ideas to implement it?
Thanks for your time!