FormalityStyleTransfer/preprocess.sh at main · SALT-NLP/FormalityStyleTransfer · GitHub

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wget -N 'https://dl.fbaipublicfiles.com/fairseq/gpt2_bpe/encoder.json'
wget -N 'https://dl.fbaipublicfiles.com/fairseq/gpt2_bpe/vocab.bpe'
wget -N 'https://dl.fbaipublicfiles.com/fairseq/gpt2_bpe/dict.txt'

TASK=grammarly
for SPLIT in test train val plain
do
  for LANG in source target
  do
    python -m multiprocessing_bpe_encoder \
    --encoder-json encoder.json \
    --vocab-bpe vocab.bpe \
    --inputs "$TASK/$SPLIT.$LANG" \
    --outputs "$TASK/$SPLIT.bpe.$LANG" \
    --workers 60 \
    --keep-empty;
  done
done


fairseq-preprocess \
  --source-lang "source" \
  --target-lang "target" \
  --trainpref "${TASK}/train.bpe" \
  --validpref "${TASK}/val.bpe" \
  --testpref "${TASK}/plain.bpe" \
  --destdir "${TASK}-bin/" \
  --workers 60 \
  --srcdict dict.txt \
  --tgtdict dict.txt;