order to complete the meta learning problem definition is we need to reserve a little test set for each task so it's not enough to just have a training set the training set is what the model needs to read in but then needs to be trained on something and what it actually going to be trained on is a little test set for each task so for every one of our few shot tasks we're gonna assume that we have K training points but done also some number L of little test points and those test points are was going to supervise the metal learning they are