sentence and again semantically this task is defined as the logic correlation between two sentences but have you trained a model only on the second sentence to predict which of the classes it would be it actually did it basically got half of them right you know it went from 33 to 66 percent or so it was a large bump and you know by default we know that model can't be doing the true task because it's just predicting you know given only at the random second sentence so this is a great example of where you can see that standard