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Imbalanced validation and test data #40

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ganeshjawahar opened this issue Jun 7, 2020 · 0 comments

ganeshjawahar commented Jun 7, 2020 •

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Section 5.1 has this line:
"We split the articles in a balanced way, with 10k for training (5k per label), 2k for validation, and 8k for testing."

But the "generator=mega~dataset=p0.94.jsonl" file at https://github.com/rowanz/grover/blob/ea12b0ef8805e1cc83fd2d578af742ba599c79f0/generation_examples/README.md has imbalanced validation and test sets:
train-human = 5K
train-machine = 5K
validation-human = 2K
validation-machine = 1K
test-human = 8K
test-machine = 4K

Why the validation and test sets are imbalanced?
Thanks!

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