right on the 20 labeled samples plus fine tuning for the last case but but yeah that's it yeah they do they do do some studies on the vision benchmarks that investigate whether or not the whether or not doing augmentation on the unlabeled data is actually more advantageous than doing it on the labeled data so but they don't think they did that for for this so yeah it could be a good unless I'm wrong that could be a good feedback they might have their I should say that they did do something speaking with you out there