Hi, I am new to Pytorch. I have images stored in many text files and labels (which are vectors) stored in separate text files. I want to extract from these images some physical properties, which are buried in them, that is why the labels are vectors. I want to make a dataset to be able to use dataloaders on these files. What is the best way to load these data? Should I write a custom Dataset class or there is a standard way to read these data. One way, I imagine is to convert the text files into some image format and then use ImageLoader. What is your opinion ? Many thanks.