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data labeling
/ˈdeɪtə ˈleɪbəlɪŋ/ - n.
1 [colloq.] The step where the team discovers it never agreed on the categories.Keep. Punchy.This is the problem.
Working definition
2. The process of attaching agreed categories or values to examples so a model has something to learn from.