Hi, I’m trying to finetune a model using custom datasets, however, the datasets contain different annotation styles. One dataset contains its annotations in a JSON File, another has the data saved in the pixel value of the image, and another contains them in H5 files. What is the easiest way for me to combine all of these into one dataset so that I can properly fine tune my model? Or is it best to create 3 different data loaders, and then randomly chose which one to use for the next training image?