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What is the rules or pattern for the data partitioning used in the meta-test and evaluation phases? Why the RealSnow dataset contains 65,000 pairs for meta-test while 240 pairs for evaluation, here 65,000>>240?
What is the rules or pattern for the data partitioning used in the meta-test and evaluation phases? Why the RealSnow dataset contains 65,000 pairs for meta-test while 240 pairs for evaluation, here 65,000>>240?