percent would be I guess one hundred and thirty thousand samples and and then they would have over a million unlabeled or about a million and then the the other one is the fully supervised scenario so this is where they use the entire image net data is supervised data and they obtain extra unlabeled data from data set called jft it's another image I believe it was automatically generated image data set so they essentially train a model on image net and they use that model to to source out the most relevant samples from the jft