unlabeled and the Augmented unlabeled samples so there really wasn't much signal coming through from from the unlabeled part of the the training set up and yeah so there's there's a probably to do with the fact that there are so many more classes and and there's also so much supervised data available here actually sorry no but the amount of supervised data wasn't an issue I think this was more of an issue even for the image net 10% so where they only had 10% of the training data as supervised this was this was an even larger issue so