For an intrinsic evaluation of a language model we need a test set. As with many of the statistical models in our field, the probabilities of an n-gram model come from the corpus it is trained on, the training set or training corpus. We can then measure training set the quality of an n-gram model by its performance on some unseen data called the test set or test corpus. We will also sometimes call test sets and other datasets that test set are not in our training sets held out corpora because we hold them out from the held out training data.