For a binary classification, you would often hear positive and negative example, which would represent the classes 1 and 0, respectively.
I think it’s the standard terminology, which is also used in e.g. confusion matrices and to calculate other metrics such as “True positive rate”, “True negative rate”, “False positive rate”, etc.