that kind of representation evolves and we show kind of data efficiency on the x-axis here so in the limit we know there's that zero shot performance of fitting a threshold to zero examples and that actually turned out to be about about here on this graph if you use all the data to probe and find it but if you just fit kind of naively as you saw more and more data you you know could start with like in the limit only needing 10 labeled examples to beat some of the original supervised learning baselines which just train systems from scratch