73 lines
3.0 KiB
Python
73 lines
3.0 KiB
Python
#!/usr/bin/env python3
|
|
# -*- encoding: utf-8 -*-
|
|
|
|
# Copyright (c) 2017 Adler Neves <adlerosn@gmail.com>
|
|
#
|
|
# MIT License
|
|
#
|
|
# Permission is hereby granted, free of charge, to any person obtaining
|
|
# a copy of this software and associated documentation files (the
|
|
# "Software"), to deal in the Software without restriction, including
|
|
# without limitation the rights to use, copy, modify, merge, publish,
|
|
# distribute, sublicense, and/or sell copies of the Software, and to
|
|
# permit persons to whom the Software is furnished to do so, subject to
|
|
# the following conditions:
|
|
#
|
|
# The above copyright notice and this permission notice shall be
|
|
# included in all copies or substantial portions of the Software.
|
|
#
|
|
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
|
|
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
|
|
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
|
|
# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
|
|
# LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
|
|
# OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
|
|
# WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
|
|
|
import os
|
|
|
|
encodings_to_try = ['utf-8','iso-8859-1','cp1252','ascii']
|
|
dir_to_look_corpora = 'downloaded'
|
|
|
|
allInOne = []
|
|
|
|
def decode_try_multiple(stringbytes, encodings = ['utf-8','ascii']):
|
|
lastException = UnicodeDecodeError('empty',b'',0,1,'No encodings provided')
|
|
for encoding in encodings:
|
|
try: return stringbytes.decode(encoding)
|
|
except UnicodeDecodeError as exc: lastException = exc
|
|
raise lastException
|
|
|
|
for corpus_fn in sorted(list(filter(lambda a: a!='readme.md', os.listdir(dir_to_look_corpora)))):
|
|
corpus_path = os.path.join(dir_to_look_corpora, corpus_fn)
|
|
with open(corpus_path, 'rb') as f:
|
|
fileBytes = f.read()
|
|
fileString = decode_try_multiple(fileBytes, encodings_to_try)
|
|
allInOne.append(fileString.strip())
|
|
|
|
allInOne = '\n'.join(allInOne).strip()
|
|
allInOne = [[word.split('_',1) for word in sentence.split(' ') if len(word)>0] for sentence in allInOne.splitlines()]
|
|
|
|
x = [[word[0] for word in sentence] for sentence in allInOne]
|
|
y = [[word[1] for word in sentence] for sentence in allInOne]
|
|
|
|
from sklearn.model_selection import train_test_split
|
|
train, test = train_test_split(allInOne, test_size=0.6, random_state=96)
|
|
|
|
tr_s = '\n\n'.join(['\n'.join(['/'.join(wrd) for wrd in snt]) for snt in train])
|
|
te_s = '\n\n'.join(['\n'.join(['/'.join(wrd) for wrd in snt]) for snt in test])
|
|
te_u = '\n'.join([' '.join([wrd[0] for wrd in snt]) for snt in test])
|
|
|
|
with open('unitexable_train/corpus.txt.answersheet.txt','w') as f:
|
|
f.write(tr_s)
|
|
with open('unitexable_train/corpus.txt','w') as f:
|
|
f.write(tr_s)
|
|
with open('unitexable_test/corpus.txt','w') as f:
|
|
f.write(te_s)
|
|
with open('unitexable_test/corpus.answersheet.txt','w') as f:
|
|
f.write(te_s)
|
|
with open('unitexable_test/corpus.answers_final.txt','w') as f:
|
|
f.write(te_s)
|
|
with open('unitexable_test/corpus.txt.untagged.txt','w') as f:
|
|
f.write(te_u)
|