You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
143 lines
4.6 KiB
143 lines
4.6 KiB
# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
"""
|
|
wmt14 dataset
|
|
"""
|
|
import paddle.v2.dataset.common
|
|
import tarfile
|
|
import os.path
|
|
import itertools
|
|
|
|
__all__ = ['train', 'test', 'build_dict']
|
|
|
|
URL_DEV_TEST = 'http://www-lium.univ-lemans.fr/~schwenk/cslm_joint_paper/data/dev+test.tgz'
|
|
MD5_DEV_TEST = '7d7897317ddd8ba0ae5c5fa7248d3ff5'
|
|
URL_TRAIN = 'http://localhost:8000/train.tgz'
|
|
MD5_TRAIN = '72de99da2830ea5a3a2c4eb36092bbc7'
|
|
|
|
|
|
def word_count(f, word_freq=None):
|
|
add = paddle.v2.dataset.common.dict_add
|
|
if word_freq == None:
|
|
word_freq = {}
|
|
|
|
for l in f:
|
|
for w in l.strip().split():
|
|
add(word_freq, w)
|
|
add(word_freq, '<s>')
|
|
add(word_freq, '<e>')
|
|
|
|
return word_freq
|
|
|
|
|
|
def get_word_dix(word_freq):
|
|
TYPO_FREQ = 50
|
|
word_freq = filter(lambda x: x[1] > TYPO_FREQ, word_freq.items())
|
|
word_freq_sorted = sorted(word_freq, key=lambda x: (-x[1], x[0]))
|
|
words, _ = list(zip(*word_freq_sorted))
|
|
word_idx = dict(zip(words, xrange(len(words))))
|
|
word_idx['<unk>'] = len(words)
|
|
return word_idx
|
|
|
|
|
|
def get_word_freq(train, dev):
|
|
word_freq = word_count(train, word_count(dev))
|
|
if '<unk>' in word_freq:
|
|
# remove <unk> for now, since we will set it as last index
|
|
del word_freq['<unk>']
|
|
return word_freq
|
|
|
|
|
|
def build_dict():
|
|
base_dir = './wmt14-data'
|
|
train_en_filename = base_dir + '/train/train.en'
|
|
train_fr_filename = base_dir + '/train/train.fr'
|
|
dev_en_filename = base_dir + '/dev/ntst1213.en'
|
|
dev_fr_filename = base_dir + '/dev/ntst1213.fr'
|
|
|
|
if not os.path.exists(train_en_filename) or not os.path.exists(
|
|
train_fr_filename):
|
|
with tarfile.open(
|
|
paddle.v2.dataset.common.download(URL_TRAIN, 'wmt14',
|
|
MD5_TRAIN)) as tf:
|
|
tf.extractall(base_dir)
|
|
|
|
if not os.path.exists(dev_en_filename) or not os.path.exists(
|
|
dev_fr_filename):
|
|
with tarfile.open(
|
|
paddle.v2.dataset.common.download(URL_DEV_TEST, 'wmt14',
|
|
MD5_DEV_TEST)) as tf:
|
|
tf.extractall(base_dir)
|
|
|
|
f_en = open(train_en_filename)
|
|
f_fr = open(train_fr_filename)
|
|
f_en_dev = open(dev_en_filename)
|
|
f_fr_dev = open(dev_fr_filename)
|
|
|
|
word_freq_en = get_word_freq(f_en, f_en_dev)
|
|
word_freq_fr = get_word_freq(f_fr, f_fr_dev)
|
|
|
|
f_en.close()
|
|
f_fr.close()
|
|
f_en_dev.close()
|
|
f_fr_dev.close()
|
|
|
|
return get_word_dix(word_freq_en), get_word_dix(word_freq_fr)
|
|
|
|
|
|
def reader_creator(directory, path_en, path_fr, URL, MD5, dict_en, dict_fr):
|
|
def reader():
|
|
if not os.path.exists(path_en) or not os.path.exists(path_fr):
|
|
with tarfile.open(
|
|
paddle.v2.dataset.common.download(URL, 'wmt14', MD5)) as tf:
|
|
tf.extractall(directory)
|
|
|
|
f_en = open(path_en)
|
|
f_fr = open(path_fr)
|
|
UNK_en = dict_en['<unk>']
|
|
UNK_fr = dict_fr['<unk>']
|
|
|
|
for en, fr in itertools.izip(f_en, f_fr):
|
|
src_ids = [dict_en.get(w, UNK_en) for w in en.strip().split()]
|
|
tar_ids = [
|
|
dict_fr.get(w, UNK_fr)
|
|
for w in ['<s>'] + fr.strip().split() + ['<e>']
|
|
]
|
|
|
|
# remove sequence whose length > 80 in training mode
|
|
if len(src_ids) == 0 or len(tar_ids) <= 1 or len(
|
|
src_ids) > 80 or len(tar_ids) > 80:
|
|
continue
|
|
|
|
yield src_ids, tar_ids[:-1], tar_ids[1:]
|
|
|
|
f_en.close()
|
|
f_fr.close()
|
|
|
|
return reader
|
|
|
|
|
|
def train(dict_en, dict_fr):
|
|
directory = './wmt14-data'
|
|
return reader_creator(directory, directory + '/train/train.en',
|
|
directory + '/train/train.fr', URL_TRAIN, MD5_TRAIN,
|
|
dict_en, dict_fr)
|
|
|
|
|
|
def test(dict_en, dict_fr):
|
|
directory = './wmt14-data'
|
|
return reader_creator(directory, directory + '/dev/ntst1213.en',
|
|
directory + '/dev/ntst1213.fr', URL_DEV_TEST,
|
|
MD5_DEV_TEST, dict_en, dict_fr)
|