I wont comment on what, but on how: - If the datasets are imaging, there should be enough per class for typical ML techniques. Otherwise you just get people o

I wont comment on what, but on how: - If the datasets are imaging, there should be enough per class for typical ML techniques. Otherwise you just get people over-fitting models on sets of 500 images and the illusion of progress. - I'm quite happy with the Kaggle datasets generally, but why do others make consuming data so difficult. Heck, if we've already received the data, lets just take it the last mile and make it consumable with obvious labeling, standard formats, etc. This is such a pet peeve of mine that -- if you need help taking datasets to the last mile -- i'm volunteering, ask me to help make it presentable. Ideally it should be pull-able via curl/etc, unzippable and be able to get into a pipeline w/o manual effort.