From d7bdc90871249c2223e0351f4da6a82b085b3cce Mon Sep 17 00:00:00 2001 From: Guo Sheng Date: Tue, 10 Mar 2020 12:01:45 +0800 Subject: [PATCH] 1. Fix Transformer path in README (#4394) 2. Fix the leaving gen_data.sh in dygraph Transformer. --- .../machine_translation/transformer/README.md | 2 +- dygraph/transformer/gen_data.sh | 220 ++++++++++++++++++ 2 files changed, 221 insertions(+), 1 deletion(-) create mode 100644 dygraph/transformer/gen_data.sh diff --git a/PaddleNLP/machine_translation/transformer/README.md b/PaddleNLP/machine_translation/transformer/README.md index 1e05dc22..ee945ea0 100644 --- a/PaddleNLP/machine_translation/transformer/README.md +++ b/PaddleNLP/machine_translation/transformer/README.md @@ -39,7 +39,7 @@ 克隆代码库到本地 ```shell git clone https://github.com/PaddlePaddle/models.git - cd models/PaddleNLP/PaddleMT/transformer + cd models/PaddleNLP/machine_translation/transformer ``` 3. 环境依赖 diff --git a/dygraph/transformer/gen_data.sh b/dygraph/transformer/gen_data.sh new file mode 100644 index 00000000..e00ae05d --- /dev/null +++ b/dygraph/transformer/gen_data.sh @@ -0,0 +1,220 @@ +#! /usr/bin/env bash + +set -e + +OUTPUT_DIR=$PWD/gen_data + +############################################################################### +# change these variables for other WMT data +############################################################################### +OUTPUT_DIR_DATA="${OUTPUT_DIR}/wmt16_ende_data" +OUTPUT_DIR_BPE_DATA="${OUTPUT_DIR}/wmt16_ende_data_bpe" +LANG1="en" +LANG2="de" +# each of TRAIN_DATA: data_url data_file_lang1 data_file_lang2 +TRAIN_DATA=( +'http://www.statmt.org/europarl/v7/de-en.tgz' +'europarl-v7.de-en.en' 'europarl-v7.de-en.de' +'http://www.statmt.org/wmt13/training-parallel-commoncrawl.tgz' +'commoncrawl.de-en.en' 'commoncrawl.de-en.de' +'http://data.statmt.org/wmt16/translation-task/training-parallel-nc-v11.tgz' +'news-commentary-v11.de-en.en' 'news-commentary-v11.de-en.de' +) +# each of DEV_TEST_DATA: data_url data_file_lang1 data_file_lang2 +DEV_TEST_DATA=( +'http://data.statmt.org/wmt16/translation-task/dev.tgz' +'newstest201[45]-deen-ref.en.sgm' 'newstest201[45]-deen-src.de.sgm' +'http://data.statmt.org/wmt16/translation-task/test.tgz' +'newstest2016-deen-ref.en.sgm' 'newstest2016-deen-src.de.sgm' +) +############################################################################### + +############################################################################### +# change these variables for other WMT data +############################################################################### +# OUTPUT_DIR_DATA="${OUTPUT_DIR}/wmt14_enfr_data" +# OUTPUT_DIR_BPE_DATA="${OUTPUT_DIR}/wmt14_enfr_data_bpe" +# LANG1="en" +# LANG2="fr" +# # each of TRAIN_DATA: ata_url data_tgz data_file +# TRAIN_DATA=( +# 'http://www.statmt.org/wmt13/training-parallel-commoncrawl.tgz' +# 'commoncrawl.fr-en.en' 'commoncrawl.fr-en.fr' +# 'http://www.statmt.org/wmt13/training-parallel-europarl-v7.tgz' +# 'training/europarl-v7.fr-en.en' 'training/europarl-v7.fr-en.fr' +# 'http://www.statmt.org/wmt14/training-parallel-nc-v9.tgz' +# 'training/news-commentary-v9.fr-en.en' 'training/news-commentary-v9.fr-en.fr' +# 'http://www.statmt.org/wmt10/training-giga-fren.tar' +# 'giga-fren.release2.fixed.en.*' 'giga-fren.release2.fixed.fr.*' +# 'http://www.statmt.org/wmt13/training-parallel-un.tgz' +# 'un/undoc.2000.fr-en.en' 'un/undoc.2000.fr-en.fr' +# ) +# # each of DEV_TEST_DATA: data_url data_tgz data_file_lang1 data_file_lang2 +# DEV_TEST_DATA=( +# 'http://data.statmt.org/wmt16/translation-task/dev.tgz' +# '.*/newstest201[45]-fren-ref.en.sgm' '.*/newstest201[45]-fren-src.fr.sgm' +# 'http://data.statmt.org/wmt16/translation-task/test.tgz' +# '.*/newstest2016-fren-ref.en.sgm' '.*/newstest2016-fren-src.fr.sgm' +# ) +############################################################################### + +mkdir -p $OUTPUT_DIR_DATA $OUTPUT_DIR_BPE_DATA + +# Extract training data +for ((i=0;i<${#TRAIN_DATA[@]};i+=3)); do + data_url=${TRAIN_DATA[i]} + data_tgz=${data_url##*/} # training-parallel-commoncrawl.tgz + data=${data_tgz%.*} # training-parallel-commoncrawl + data_lang1=${TRAIN_DATA[i+1]} + data_lang2=${TRAIN_DATA[i+2]} + if [ ! -e ${OUTPUT_DIR_DATA}/${data_tgz} ]; then + echo "Download "${data_url} + wget -O ${OUTPUT_DIR_DATA}/${data_tgz} ${data_url} + fi + + if [ ! -d ${OUTPUT_DIR_DATA}/${data} ]; then + echo "Extract "${data_tgz} + mkdir -p ${OUTPUT_DIR_DATA}/${data} + tar_type=${data_tgz:0-3} + if [ ${tar_type} == "tar" ]; then + tar -xvf ${OUTPUT_DIR_DATA}/${data_tgz} -C ${OUTPUT_DIR_DATA}/${data} + else + tar -xvzf ${OUTPUT_DIR_DATA}/${data_tgz} -C ${OUTPUT_DIR_DATA}/${data} + fi + fi + # concatenate all training data + for data_lang in $data_lang1 $data_lang2; do + for f in `find ${OUTPUT_DIR_DATA}/${data} -regex ".*/${data_lang}"`; do + data_dir=`dirname $f` + data_file=`basename $f` + f_base=${f%.*} + f_ext=${f##*.} + if [ $f_ext == "gz" ]; then + gunzip $f + l=${f_base##*.} + f_base=${f_base%.*} + else + l=${f_ext} + fi + + if [ $i -eq 0 ]; then + cat ${f_base}.$l > ${OUTPUT_DIR_DATA}/train.$l + else + cat ${f_base}.$l >> ${OUTPUT_DIR_DATA}/train.$l + fi + done + done +done + +# Clone mosesdecoder +if [ ! -d ${OUTPUT_DIR}/mosesdecoder ]; then + echo "Cloning moses for data processing" + git clone https://github.com/moses-smt/mosesdecoder.git ${OUTPUT_DIR}/mosesdecoder +fi + +# Extract develop and test data +dev_test_data="" +for ((i=0;i<${#DEV_TEST_DATA[@]};i+=3)); do + data_url=${DEV_TEST_DATA[i]} + data_tgz=${data_url##*/} # training-parallel-commoncrawl.tgz + data=${data_tgz%.*} # training-parallel-commoncrawl + data_lang1=${DEV_TEST_DATA[i+1]} + data_lang2=${DEV_TEST_DATA[i+2]} + if [ ! -e ${OUTPUT_DIR_DATA}/${data_tgz} ]; then + echo "Download "${data_url} + wget -O ${OUTPUT_DIR_DATA}/${data_tgz} ${data_url} + fi + + if [ ! -d ${OUTPUT_DIR_DATA}/${data} ]; then + echo "Extract "${data_tgz} + mkdir -p ${OUTPUT_DIR_DATA}/${data} + tar_type=${data_tgz:0-3} + if [ ${tar_type} == "tar" ]; then + tar -xvf ${OUTPUT_DIR_DATA}/${data_tgz} -C ${OUTPUT_DIR_DATA}/${data} + else + tar -xvzf ${OUTPUT_DIR_DATA}/${data_tgz} -C ${OUTPUT_DIR_DATA}/${data} + fi + fi + + for data_lang in $data_lang1 $data_lang2; do + for f in `find ${OUTPUT_DIR_DATA}/${data} -regex ".*/${data_lang}"`; do + data_dir=`dirname $f` + data_file=`basename $f` + data_out=`echo ${data_file} | cut -d '-' -f 1` # newstest2016 + l=`echo ${data_file} | cut -d '.' -f 2` # en + dev_test_data="${dev_test_data}\|${data_out}" # to make regexp + if [ ! -e ${OUTPUT_DIR_DATA}/${data_out}.$l ]; then + ${OUTPUT_DIR}/mosesdecoder/scripts/ems/support/input-from-sgm.perl \ + < $f > ${OUTPUT_DIR_DATA}/${data_out}.$l + fi + done + done +done + +# Tokenize data +for l in ${LANG1} ${LANG2}; do + for f in `ls ${OUTPUT_DIR_DATA}/*.$l | grep "\(train${dev_test_data}\)\.$l$"`; do + f_base=${f%.*} # dir/train dir/newstest2016 + f_out=$f_base.tok.$l + if [ ! -e $f_out ]; then + echo "Tokenize "$f + ${OUTPUT_DIR}/mosesdecoder/scripts/tokenizer/tokenizer.perl -q -l $l -threads 8 < $f > $f_out + fi + done +done + +# Clean data +for f in ${OUTPUT_DIR_DATA}/train.${LANG1} ${OUTPUT_DIR_DATA}/train.tok.${LANG1}; do + f_base=${f%.*} # dir/train dir/train.tok + f_out=${f_base}.clean + if [ ! -e $f_out.${LANG1} ] && [ ! -e $f_out.${LANG2} ]; then + echo "Clean "${f_base} + ${OUTPUT_DIR}/mosesdecoder/scripts/training/clean-corpus-n.perl $f_base ${LANG1} ${LANG2} ${f_out} 1 80 + fi +done + +# Clone subword-nmt and generate BPE data +if [ ! -d ${OUTPUT_DIR}/subword-nmt ]; then + git clone https://github.com/rsennrich/subword-nmt.git ${OUTPUT_DIR}/subword-nmt +fi + +# Generate BPE data and vocabulary +for num_operations in 32000; do + if [ ! -e ${OUTPUT_DIR_BPE_DATA}/bpe.${num_operations} ]; then + echo "Learn BPE with ${num_operations} merge operations" + cat ${OUTPUT_DIR_DATA}/train.tok.clean.${LANG1} ${OUTPUT_DIR_DATA}/train.tok.clean.${LANG2} | \ + ${OUTPUT_DIR}/subword-nmt/learn_bpe.py -s $num_operations > ${OUTPUT_DIR_BPE_DATA}/bpe.${num_operations} + fi + + for l in ${LANG1} ${LANG2}; do + for f in `ls ${OUTPUT_DIR_DATA}/*.$l | grep "\(train${dev_test_data}\)\.tok\(\.clean\)\?\.$l$"`; do + f_base=${f%.*} # dir/train.tok dir/train.tok.clean dir/newstest2016.tok + f_base=${f_base##*/} # train.tok train.tok.clean newstest2016.tok + f_out=${OUTPUT_DIR_BPE_DATA}/${f_base}.bpe.${num_operations}.$l + if [ ! -e $f_out ]; then + echo "Apply BPE to "$f + ${OUTPUT_DIR}/subword-nmt/apply_bpe.py -c ${OUTPUT_DIR_BPE_DATA}/bpe.${num_operations} < $f > $f_out + fi + done + done + + if [ ! -e ${OUTPUT_DIR_BPE_DATA}/vocab.bpe.${num_operations} ]; then + echo "Create vocabulary for BPE data" + cat ${OUTPUT_DIR_BPE_DATA}/train.tok.clean.bpe.${num_operations}.${LANG1} ${OUTPUT_DIR_BPE_DATA}/train.tok.clean.bpe.${num_operations}.${LANG2} | \ + ${OUTPUT_DIR}/subword-nmt/get_vocab.py | cut -f1 -d ' ' > ${OUTPUT_DIR_BPE_DATA}/vocab.bpe.${num_operations} + fi +done + +# Adapt to the reader +for f in ${OUTPUT_DIR_BPE_DATA}/*.bpe.${num_operations}.${LANG1}; do + f_base=${f%.*} # dir/train.tok.clean.bpe.32000 dir/newstest2016.tok.bpe.32000 + f_out=${f_base}.${LANG1}-${LANG2} + if [ ! -e $f_out ]; then + paste -d '\t' $f_base.${LANG1} $f_base.${LANG2} > $f_out + fi +done +if [ ! -e ${OUTPUT_DIR_BPE_DATA}/vocab_all.bpe.${num_operations} ]; then + sed '1i\\n\n' ${OUTPUT_DIR_BPE_DATA}/vocab.bpe.${num_operations} > ${OUTPUT_DIR_BPE_DATA}/vocab_all.bpe.${num_operations} +fi + +echo "All done." -- GitLab