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preprocess.py
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56 lines (47 loc) · 1.55 KB
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import argparse
def read_data(file_name):
with open(file_name, 'r') as f:
lines = [line.strip() for line in f]
sentences = []
start, i = 0, 0
for line in lines:
if not line:
sentences.append(lines[start:i])
start = i + 1
i += 1
# for s in sentences:
# if(len(s) < 4):
# print(s)
return sentences
def process(src, tgt):
sentences = read_data(src)
print('num of sents:', len(sentences))
new_sentences_lst = []
for sent in sentences:
new_s_lst = []
for i, line in enumerate(sent, 1):
word, label = line.split()
new_line_lst = [str(i), word] + ['_'] * 6 + [label, '_']
new_line = '\t'.join(new_line_lst)
new_s_lst.append(new_line)
new_sentences_lst.append(new_s_lst)
with open(tgt, 'w') as f:
for new_s_lst in new_sentences_lst:
for new_line in new_s_lst:
f.write(new_line+'\n')
f.write('\n')
if __name__ == '__main__':
# train = 'data.txt.char.train.ner'
# dev = 'data.txt.char.eval.ner'
# test = 'data.txt.char.test.ner'
# tgt_train = 'train.conllu'
# tgt_dev = 'dev.conllu'
# tgt_test = 'test.conllu'
parser = argparse.ArgumentParser(
description='to transform the source to tgt data.')
parser.add_argument('--src', help='file name.')
parser.add_argument('--tgt', help='file name.')
args = parser.parse_args()
process(args.src, args.tgt)
# process(dev, tgt_dev)
# process(test, tgt_test)