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from 1-billion-word-language-modeling-benchmark.
Yes, that was my understanding.
I'm saying that sentences in the attached bw_duplicates.txt file show up in both,
training-monolingual.tokenized.shuffled/news.en-00000-of-00100 and
training-monolingual.tokenized.shuffled/news.en-000xx-of-00100 (where xx is 1 to 99)
For instance, the first duplicate sentence in the list "Bush is remembered by many Haitians -- " shows up in training/news.en-00000-of-00100 and training/news.en-00056-of-00100 exactly the same.
(Note that shards 59 and 75 also contain close to the same sentence but do differ by the "--" )
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from 1-billion-word-language-modeling-benchmark.
from 1-billion-word-language-modeling-benchmark.
from 1-billion-word-language-modeling-benchmark.
For all 50 holdout shards, I see 303,465 unique sentences and 3,223 duplicates to sentences in the training directory, so roughly 1%.
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from 1-billion-word-language-modeling-benchmark.
from 1-billion-word-language-modeling-benchmark.
For news.en.heldout-00000-of-00050 there were 6,005 unique sentences and 70 that were duplicates of training data. The duplicates sentences are listed in the following file: bw_dup_shard0.txt.
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from 1-billion-word-language-modeling-benchmark.
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