Add script used to clean the dataset

mrclean.py

@@ -0,0 +1,95 @@
+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])