File size: 4,179 Bytes
e89883a |
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 |
import re
# START_TOKEN = '<s>'
# END_TOKEN = '</s>'
# PADDING_TOKEN = '<pad>'
START_TOKEN = ''
END_TOKEN = ''
PADDING_TOKEN = ''
def _make_padding_sequence(seq_length):
return ''.join([END_TOKEN] + seq_length * [PADDING_TOKEN])
def cleanup_simple_wikipedia(text, seq_length):
pad_seq = _make_padding_sequence(seq_length)
text = START_TOKEN + re.sub(r'\n\n', pad_seq + START_TOKEN, text) + pad_seq
return text
def cleanup_wikipedia(text, seq_length):
pad_seq = _make_padding_sequence(seq_length)
text = re.sub(r'= = = (.+?) = = =\n', r'\1', text)
lines = [line.strip() for line in text.splitlines()]
text = START_TOKEN + re.sub(r'\n\n', pad_seq + START_TOKEN, '\n'.join(lines)[1:]) + pad_seq
return text
def cleanup_qed(text, seq_length):
# TODO: this should probably be padded too, but it’s difficult to detect when subtitles start and end
# The handling of proper nouns and of parentheses isn’t perfect, but this is still an improvement over the base text
punctuation_ex = re.compile(r'([.!?]\s*)')
unimportant_chars_ex = re.compile(r'\(.*?\)|[.!?]')
lines = []
for line in text.splitlines():
nchars = len(line)
if nchars > 0:
line_body = unimportant_chars_ex.sub('', line)
f_upper = sum(c.isupper() for c in line_body) / len(line_body)
if f_upper >= 0.5: # Mostly uppercase characters
# Taken from https://stackoverflow.com/a/41662260
split_on_punctuation = punctuation_ex.split(line.replace('l', 'I'))
line = ''.join([sentence.capitalize() for sentence in split_on_punctuation])
lines.append(line.strip())
return START_TOKEN + '\n'.join(lines) + END_TOKEN + ''.join(seq_length * [PADDING_TOKEN])
def cleanup_extra_spaces(text):
multiple_spaces_ex = re.compile(r'[ \t\u00A0]+')
space_before_punctuation_ex = re.compile(r'[ \t\u00A0]([.,;!?])')
text = multiple_spaces_ex.sub(' ', text)
text = space_before_punctuation_ex.sub(r'\1', text)
return text
def cleanup_bnc_spoken(text, seq_length):
pad_seq = _make_padding_sequence(seq_length)
text = cleanup_extra_spaces(text)
text = START_TOKEN + re.sub(r'\n\n', pad_seq + START_TOKEN, text) + pad_seq
return text
def cleanup_aochildes(text, seq_length):
text = cleanup_extra_spaces(text)
return START_TOKEN + text + _make_padding_sequence(seq_length)
def cleanup_cbt(text, seq_length):
text = cleanup_extra_spaces(text)
space_before_apostroph = re.compile(r"([\w\d])[ \t\u00A0](['’]\w)")
#space_before_quote = re.compile(r"[ \t\u00A0](['’])")
#space_after_quote = re.compile(r"([`])[ \t\u00A0]")
#text = space_before_quote.sub(r'\1', text)
#text = space_after_quote.sub(r'\1', text)
text = space_before_apostroph.sub(r'\1\2', text)
return START_TOKEN + text + _make_padding_sequence(seq_length)
def cleanup_children_stories(text, seq_length):
# Sometimes one skipped line marks the beginning of a new story,
# but sometimes it is present within a same story, which doesn’t
# make it very useful for separating independent stories.
return START_TOKEN + text + _make_padding_sequence(seq_length)
def cleanup_gutenberg(text, seq_length):
# Overall, the text is clean, however some entries don’t seem
# very useful, e.g. figure captions preceded by a number.
# Not sure if we should remove them, because that would also
# remove bullet lists which are otherwise consistent with the
# surrounding text.
# No start or end tokens because the text seems to be cut.
return text + ''.join(seq_length * [PADDING_TOKEN])
def cleanup_open_subtitles(text, seq_length):
# The text is mostly clean, apart from some subtitle credits
# such as "Subtitles by ...".
subtitle_credit_ex = re.compile(r'^.*subtitle.*$\n', re.MULTILINE | re.IGNORECASE)
text = subtitle_credit_ex.sub('', text)
return START_TOKEN + text + _make_padding_sequence(seq_length)
def cleanup_switchboard(text, seq_length):
# No start or end tokens because the text seems to be cut.
return text + ''.join(seq_length * [PADDING_TOKEN]) |