have labels for the individual ones and you have different ones per human and they are different lengths all of this is just a giant um giant task and you have many of them you have tens of thousands per human right so they build a system here where first they do these 1d convolutions to process the inside sequences and then they do this hopfield um attention mechanism all with with learned queries uh over these things and then they train on the output label and surprisingly uh that actually works even with tens of thousands of inside