the question is how can we incorporate additional data and I should say as an aside this is very much the same kind of challenge that things like semi supervised learning and unsupervised learning deal with so in semi-supervised learning you incorporate additional data that doesn't have wise and and so forth in metal learning you incorporate additional data that we're going to call D meta terrain which is labeled data it's just labeled data for different tasks so D meta trained is actually a data set of data sets so it's a set of