diff --git a/PaddleNLP/machine_translation/transformer/README.md b/PaddleNLP/machine_translation/transformer/README.md
index 1e05dc22050e9132eeac1eef72988f59cc6081e9..ee945ea05db9b9e52aac9a40dee0ab48fceb7318 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 0000000000000000000000000000000000000000..e00ae05d9c5cc59b7b401428f6e1252397debfe9
--- /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\<s>\n<e>\n<unk>' ${OUTPUT_DIR_BPE_DATA}/vocab.bpe.${num_operations} > ${OUTPUT_DIR_BPE_DATA}/vocab_all.bpe.${num_operations}
+fi
+
+echo "All done."