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Changes
RACE
evaluation.Notes
RACE
is one of those datasets that gpt3 performs better at with proper normalization. See Section 2.4 Evaluation, Language Models are Few-Shot Learners:... on a small number of datasets (ARC, OpenBookQA, and RACE) we gain additional benefit as measured on the development set by normalizing by the unconditional probability of each completion, by computing P(completion|context) / P(completion|answer_context) , where P(completion|answer context) answer context is the string "Answer: " or "A: " and is used to prompt that the completion should be an answer but is otherwise generic.
Issue Reference: #21