/
preprocess.py
211 lines (159 loc) · 8.38 KB
/
preprocess.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
import argparse
import utils
import pickle
parser = argparse.ArgumentParser(description='preprocess.py')
parser.add_argument('-load_data', required=True,
help="input file for the data")
parser.add_argument('-save_data', required=True,
help="Output file for the prepared data")
parser.add_argument('-src_vocab_size', type=int, default=50000,
help="Size of the source vocabulary")
parser.add_argument('-tgt_vocab_size', type=int, default=50000,
help="Size of the target vocabulary")
parser.add_argument('-src_filter', type=int, default=0,
help="Maximum source sequence length")
parser.add_argument('-tgt_filter', type=int, default=0,
help="Maximum target sequence length")
parser.add_argument('-src_trun', type=int, default=0,
help="Truncate source sequence length")
parser.add_argument('-tgt_trun', type=int, default=0,
help="Truncate target sequence length")
parser.add_argument('-src_char', action='store_true', help='character based encoding')
parser.add_argument('-tgt_char', action='store_true', help='character based decoding')
parser.add_argument('-src_suf', default='src',
help="the suffix of the source filename")
parser.add_argument('-tgt_suf', default='tgt',
help="the suffix of the target filename")
parser.add_argument('-share', action='store_true', help='share the vocabulary between source and target')
parser.add_argument('-report_every', type=int, default=100000,
help="Report status every this many sentences")
opt = parser.parse_args()
def makeVocabulary(filename, trun_length, filter_length, char, vocab, size):
print("%s: length limit = %d, truncate length = %d" % (filename, filter_length, trun_length))
max_length = 0
with open(filename, encoding='utf8') as f:
for sent in f.readlines():
if char:
tokens = list(sent.strip())
else:
tokens = sent.strip().split()
if 0 < filter_length < len(sent.strip().split()):
continue
max_length = max(max_length, len(tokens))
if trun_length > 0:
tokens = tokens[:trun_length]
for word in tokens:
vocab.add(word)
print('Max length of %s = %d' % (filename, max_length))
if size > 0:
originalSize = vocab.size()
vocab = vocab.prune(size)
print('Created dictionary of size %d (pruned from %d)' %
(vocab.size(), originalSize))
return vocab
def saveVocabulary(name, vocab, file):
print('Saving ' + name + ' vocabulary to \'' + file + '\'...')
vocab.writeFile(file)
def makeData(srcFile, tgtFile, srcDicts, tgtDicts, save_srcFile, save_tgtFile, lim=0):
sizes = 0
count, empty_ignored, limit_ignored = 0, 0, 0
print('Processing %s & %s ...' % (srcFile, tgtFile))
srcF = open(srcFile, encoding='utf8')
tgtF = open(tgtFile, encoding='utf8')
srcIdF = open(save_srcFile + '.id', 'w')
tgtIdF = open(save_tgtFile + '.id', 'w')
srcStrF = open(save_srcFile + '.str', 'w', encoding='utf8')
tgtStrF = open(save_tgtFile + '.str', 'w', encoding='utf8')
while True:
sline = srcF.readline()
tline = tgtF.readline()
# normal end of file
if sline == "" and tline == "":
break
# source or target does not have same number of lines
if sline == "" or tline == "":
print('WARNING: source and target do not have the same number of sentences')
break
sline = sline.strip()
tline = tline.strip()
# source and/or target are empty
if sline == "" or tline == "":
print('WARNING: ignoring an empty line ('+str(count+1)+')')
empty_ignored += 1
continue
sline = sline.lower()
tline = tline.lower()
srcWords = sline.split() if not opt.src_char else list(sline)
tgtWords = tline.split() if not opt.tgt_char else list(tline)
if (opt.src_filter == 0 or len(sline.split()) <= opt.src_filter) and \
(opt.tgt_filter == 0 or len(tline.split()) <= opt.tgt_filter):
if opt.src_trun > 0:
srcWords = srcWords[:opt.src_trun]
if opt.tgt_trun > 0:
tgtWords = tgtWords[:opt.tgt_trun]
srcIds = srcDicts.convertToIdx(srcWords, utils.UNK_WORD)
tgtIds = tgtDicts.convertToIdx(tgtWords, utils.UNK_WORD, utils.BOS_WORD, utils.EOS_WORD)
srcIdF.write(" ".join(list(map(str, srcIds)))+'\n')
tgtIdF.write(" ".join(list(map(str, tgtIds)))+'\n')
if not opt.src_char:
srcStrF.write(" ".join(srcWords)+'\n')
else:
srcStrF.write("".join(srcWords) + '\n')
if not opt.tgt_char:
tgtStrF.write(" ".join(tgtWords)+'\n')
else:
tgtStrF.write("".join(tgtWords) + '\n')
sizes += 1
else:
limit_ignored += 1
count += 1
if count % opt.report_every == 0:
print('... %d sentences prepared' % count)
srcF.close()
tgtF.close()
srcStrF.close()
tgtStrF.close()
srcIdF.close()
tgtIdF.close()
print('Prepared %d sentences (%d and %d ignored due to length == 0 or > )' %
(sizes, empty_ignored, limit_ignored))
return {'srcF': save_srcFile + '.id', 'tgtF': save_tgtFile + '.id',
'original_srcF': save_srcFile + '.str', 'original_tgtF': save_tgtFile + '.str',
'length': sizes}
def main():
dicts = {}
train_src, train_tgt = opt.load_data + 'train.' + opt.src_suf, opt.load_data + 'train.' + opt.tgt_suf
valid_src, valid_tgt = opt.load_data + 'valid.' + opt.src_suf, opt.load_data + 'valid.' + opt.tgt_suf
test_src, test_tgt = opt.load_data + 'test.' + opt.src_suf, opt.load_data + 'test.' + opt.tgt_suf
save_train_src, save_train_tgt = opt.save_data + 'train.' + opt.src_suf, opt.save_data + 'train.' + opt.tgt_suf
save_valid_src, save_valid_tgt = opt.save_data + 'valid.' + opt.src_suf, opt.save_data + 'valid.' + opt.tgt_suf
save_test_src, save_test_tgt = opt.save_data + 'test.' + opt.src_suf, opt.save_data + 'test.' + opt.tgt_suf
src_dict, tgt_dict = opt.save_data + 'src.dict', opt.save_data + 'tgt.dict'
if opt.share:
assert opt.src_vocab_size == opt.tgt_vocab_size
print('Building source and target vocabulary...')
dicts['src'] = dicts['tgt'] = utils.Dict([utils.PAD_WORD, utils.UNK_WORD, utils.BOS_WORD, utils.EOS_WORD])
dicts['src'] = makeVocabulary(train_src, opt.src_trun, opt.src_filter, opt.src_char, dicts['src'], opt.src_vocab_size)
dicts['src'] = dicts['tgt'] = makeVocabulary(train_tgt, opt.tgt_trun, opt.tgt_filter, opt.tgt_char, dicts['tgt'], opt.tgt_vocab_size)
else:
print('Building source vocabulary...')
dicts['src'] = utils.Dict([utils.PAD_WORD, utils.UNK_WORD, utils.BOS_WORD, utils.EOS_WORD])
dicts['src'] = makeVocabulary(train_src, opt.src_trun, opt.src_filter, opt.src_char, dicts['src'], opt.src_vocab_size)
print('Building target vocabulary...')
dicts['tgt'] = utils.Dict([utils.PAD_WORD, utils.UNK_WORD, utils.BOS_WORD, utils.EOS_WORD])
dicts['tgt'] = makeVocabulary(train_tgt, opt.tgt_trun, opt.tgt_filter, opt.tgt_char, dicts['tgt'], opt.tgt_vocab_size)
print('Preparing training ...')
train = makeData(train_src, train_tgt, dicts['src'], dicts['tgt'], save_train_src, save_train_tgt)
print('Preparing validation ...')
valid = makeData(valid_src, valid_tgt, dicts['src'], dicts['tgt'], save_valid_src, save_valid_tgt)
print('Preparing test ...')
test = makeData(test_src, test_tgt, dicts['src'], dicts['tgt'], save_test_src, save_test_tgt)
print('Saving source vocabulary to \'' + src_dict + '\'...')
dicts['src'].writeFile(src_dict)
print('Saving source vocabulary to \'' + tgt_dict + '\'...')
dicts['tgt'].writeFile(tgt_dict)
data = {'train': train, 'valid': valid,
'test': test, 'dict': dicts}
pickle.dump(data, open(opt.save_data+'data.pkl', 'wb'))
if __name__ == "__main__":
main()