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modelscope-scepter/scepter/modules/model/tokenizer/tokenizer_component.py
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2025-02-03 13:36:44 +08:00

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6.3 KiB
Python

# -*- coding: utf-8 -*-
# Copyright (c) Alibaba, Inc. and its affiliates.
import html
import string
from functools import lru_cache
from urllib import parse
import ftfy
import regex as re
from bs4 import BeautifulSoup
@lru_cache()
def bytes_to_unicode():
"""
Returns list of utf-8 byte and a corresponding list of unicode strings.
The reversible bpe codes work on unicode strings.
This means you need a large # of unicode characters in your vocab if you want to
avoid UNKs.
When you're at something like a 10B token dataset you end up needing around 5K for
decent coverage.
This is a signficant percentage of your normal, say, 32K bpe vocab.
To avoid that, we want lookup tables between utf-8 bytes and unicode strings.
And avoids mapping to whitespace/control characters the bpe code barfs on.
"""
bs = (list(range(ord('!'),
ord('~') + 1)) + list(range(ord('¡'),
ord('¬') + 1)) +
list(range(ord('®'),
ord('ÿ') + 1)))
cs = bs[:]
n = 0
for b in range(2**8):
if b not in bs:
bs.append(b)
cs.append(2**8 + n)
n += 1
cs = [chr(n) for n in cs]
return dict(zip(bs, cs))
def get_pairs(word):
"""Return set of symbol pairs in a word.
Word is represented as tuple of symbols (symbols being variable-length strings).
"""
pairs = set()
prev_char = word[0]
for char in word[1:]:
pairs.add((prev_char, char))
prev_char = char
return pairs
def basic_clean(text):
text = ftfy.fix_text(text)
text = html.unescape(html.unescape(text))
return text.strip()
def whitespace_clean(text):
text = re.sub(r'\s+', ' ', text)
text = text.strip()
return text
def canonicalize(text, keep_punctuation_exact_string=None):
text = text.replace('_', ' ')
if keep_punctuation_exact_string:
text = keep_punctuation_exact_string.join(
part.translate(str.maketrans('', '', string.punctuation))
for part in text.split(keep_punctuation_exact_string))
else:
text = text.translate(str.maketrans('', '', string.punctuation))
text = text.lower()
text = re.sub(r'\s+', ' ', text)
return text.strip()
def heavy_clean(text):
text = str(text)
text = parse.unquote_plus(text)
text = text.strip().lower()
text = re.sub('<person>', 'person', text)
# urls:
text = re.sub(
r'\b((?:https?:(?:\/{1,3}|[a-zA-Z0-9%])|[a-zA-Z0-9.\-]+[.](?:com|co|ru|net|org|edu|gov|it)[\w/-]*\b\/?(?!@)))', # noqa: E501
'',
text)
text = re.sub(
r'\b((?:www:(?:\/{1,3}|[a-zA-Z0-9%])|[a-zA-Z0-9.\-]+[.](?:com|co|ru|net|org|edu|gov|it)[\w/-]*\b\/?(?!@)))', # noqa: E501
'',
text)
# html:
text = BeautifulSoup(text, features='html.parser').text
# @<nickname>
text = re.sub(r'@[\w\d]+\b', '', text)
# 31C0—31EF CJK Strokes
# 31F0—31FF Katakana Phonetic Extensions
# 3200—32FF Enclosed CJK Letters and Months
# 3300—33FF CJK Compatibility
# 3400—4DBF CJK Unified Ideographs Extension A
# 4DC0—4DFF Yijing Hexagram Symbols
# 4E00—9FFF CJK Unified Ideographs
text = re.sub(r'[\u31c0-\u31ef]+', '', text)
text = re.sub(r'[\u31f0-\u31ff]+', '', text)
text = re.sub(r'[\u3200-\u32ff]+', '', text)
text = re.sub(r'[\u3300-\u33ff]+', '', text)
text = re.sub(r'[\u3400-\u4dbf]+', '', text)
text = re.sub(r'[\u4dc0-\u4dff]+', '', text)
text = re.sub(r'[\u4e00-\u9fff]+', '', text)
#######################################################
# все виды тире / all types of dash --> "-"
text = re.sub(
r'[\u002D\u058A\u05BE\u1400\u1806\u2010-\u2015\u2E17\u2E1A\u2E3A\u2E3B\u2E40\u301C\u3030\u30A0\uFE31\uFE32\uFE58\uFE63\uFF0D]+', # noqa: E501
'-',
text)
# кавычки к одному стандарту
text = re.sub(r'[`´«»“”¨]', '"', text)
text = re.sub(r'[‘’]', "'", text)
# &quot;
text = re.sub(r'&quot;?', '', text)
# &amp
text = re.sub(r'&amp', '', text)
# ip adresses:
text = re.sub(r'\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}', ' ', text)
# article ids:
text = re.sub(r'\d:\d\d\s+$', '', text)
# \n
text = re.sub(r'\\n', ' ', text)
# "#123"
text = re.sub(r'#\d{1,3}\b', '', text)
# "#12345.."
text = re.sub(r'#\d{5,}\b', '', text)
# "123456.."
text = re.sub(r'\b\d{6,}\b', '', text)
# filenames:
text = re.sub(r'[\S]+\.(?:png|jpg|jpeg|bmp|webp|eps|pdf|apk|mp4)', '',
text)
text = re.sub(r'[\"\']{2,}', r'"', text) # """AUSVERKAUFT"""
text = re.sub(r'[\.]{2,}', r' ', text) # """AUSVERKAUFT"""
text = re.sub(
re.compile(r'[' + '#®•©™&@·º½¾¿¡§~' + r'\)' + r'\(' + r'\]' + # noqa
r'\[' + # noqa
r'\}' + r'\{' + r'\|' + '\\' + r'\/' + r'\*' + # noqa
r']{1,}'), # noqa
r' ',
text) # ***AUSVERKAUFT***, #AUSVERKAUFT
text = re.sub(r'\s+\.\s+', r' ', text) # " . "
# this-is-my-cute-cat / this_is_my_cute_cat
regex2 = re.compile(r'(?:\-|\_)')
if len(re.findall(regex2, text)) > 3:
text = re.sub(regex2, ' ', text)
text = basic_clean(text)
text = re.sub(r'\b[a-zA-Z]{1,3}\d{3,15}\b', '', text) # jc6640
text = re.sub(r'\b[a-zA-Z]+\d+[a-zA-Z]+\b', '', text) # jc6640vc
text = re.sub(r'\b\d+[a-zA-Z]+\d+\b', '', text) # 6640vc231
text = re.sub(r'(worldwide\s+)?(free\s+)?shipping', '', text)
text = re.sub(r'(free\s)?download(\sfree)?', '', text)
text = re.sub(r'\bclick\b\s(?:for|on)\s\w+', '', text)
text = re.sub(r'\b(?:png|jpg|jpeg|bmp|webp|eps|pdf|apk|mp4)(\simage[s]?)?',
'', text)
text = re.sub(r'\bpage\s+\d+\b', '', text)
# j2d1a2a...
text = re.sub(r'\b\d*[a-zA-Z]+\d+[a-zA-Z]+\d+[a-zA-Z\d]*\b', r' ', text)
text = re.sub(r'\b\d+\.?\d*[xх×]\d+\.?\d*\b', '', text)
text = re.sub(r'\b\s+\:\s+', r': ', text)
text = re.sub(r'(\D[,\./])\b', r'\1 ', text)
text = re.sub(r'\s+', ' ', text)
text = re.sub(r'^[\"\']([\w\W]+)[\"\']$', r'\1', text)
text = re.sub(r'^[\'\_,\-\:;]', r'', text)
text = re.sub(r'[\'\_,\-\:\-\+]$', r'', text)
text = re.sub(r'^\.\S+$', '', text)
return text.strip()