Training, Dev Dataset, Test, Set.
Hold-out cross validation set / Development or “dev” set. Testing set. You will try to build a model upon training set then try to optimize hyperparameters on dev set as much as possible. Then after your model is ready you try and evaluate the testing set. If size of the dataset is 100 to 1000000