To evaluate the quality of these methods, we created a random subset of 900 clips from each corpus using stratified sampling.
we picked an action uniformly at random, and then picked a corresponding object for that action from its support set uniformly at random, and finally picked a clip with that (action, object) label uniformly at random from the clip corpuses produced in Section 3; this ensures the test set is not dominated by frequent actions or objects.