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39 changes: 19 additions & 20 deletions official/transformer/data_download.py
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Original file line number Diff line number Diff line change
Expand Up @@ -42,40 +42,39 @@
# that generates a vocabulary set that is closest in size to _TARGET_VOCAB_SIZE.
_TRAIN_DATA_SOURCES = [
{
"url": "http://data.statmt.org/wmt17/translation-task/"
"training-parallel-nc-v12.tgz",
"input": "news-commentary-v12.de-en.en",
"target": "news-commentary-v12.de-en.de",
},
{
"url": "http://www.statmt.org/wmt13/training-parallel-commoncrawl.tgz",
"input": "commoncrawl.de-en.en",
"target": "commoncrawl.de-en.de",
},
{
"url": "http://www.statmt.org/wmt13/training-parallel-europarl-v7.tgz",
"input": "europarl-v7.de-en.en",
"target": "europarl-v7.de-en.de",
},
"url": "https://drive.google.com/uc?id=1iqM7HT2JMD7PxkMzJ4cDRcXVIOATiXnY&export=download",
"input": "source_train.txt",
"target": "target_train.txt",
}
# {
# "url": "http://www.statmt.org/wmt13/training-parallel-commoncrawl.tgz",
# "input": "commoncrawl.de-en.en",
# "target": "commoncrawl.de-en.de",
# },
# {
# "url": "http://www.statmt.org/wmt13/training-parallel-europarl-v7.tgz",
# "input": "europarl-v7.de-en.en",
# "target": "europarl-v7.de-en.de",
# },
]
# Use pre-defined minimum count to generate subtoken vocabulary.
_TRAIN_DATA_MIN_COUNT = 6

_EVAL_DATA_SOURCES = [
{
"url": "http://data.statmt.org/wmt17/translation-task/dev.tgz",
"input": "newstest2013.en",
"target": "newstest2013.de",
"url": "https://drive.google.com/uc?id=1tMNFyLm7OsSgdRA5aM2vKGavgztxGWO9&export=download",
"input": "source_test.txt",
"target": "target_test.txt",
}
]

# Vocabulary constants
_TARGET_VOCAB_SIZE = 32768 # Number of subtokens in the vocabulary list.
_TARGET_VOCAB_SIZE = 20000 # Number of subtokens in the vocabulary list.
_TARGET_THRESHOLD = 327 # Accept vocabulary if size is within this threshold
VOCAB_FILE = "vocab.ende.%d" % _TARGET_VOCAB_SIZE

# Strings to inclue in the generated files.
_PREFIX = "wmt32k"
_PREFIX = "icomm"
_TRAIN_TAG = "train"
_EVAL_TAG = "dev" # Following WMT and Tensor2Tensor conventions, in which the
# evaluation datasets are tagged as "dev" for development.
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