Upload 4 files
Browse files- .gitattributes +2 -0
- a00_csc_clean_public_wang271k.py +388 -0
- dev.json.handle_clean +3 -0
- test.json.handle_clean +0 -0
- train.json.handle_clean +3 -0
.gitattributes
CHANGED
@@ -57,3 +57,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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dev.json.handle_clean filter=lfs diff=lfs merge=lfs -text
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train.json.handle_clean filter=lfs diff=lfs merge=lfs -text
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a00_csc_clean_public_wang271k.py
ADDED
@@ -0,0 +1,388 @@
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1 |
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# !/usr/bin/python
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# -*- coding: utf-8 -*-
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# @time : 2024/4/12 10:55
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# @author : Mo
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# @function: 清洗SIGHAN和Wang271k数据集中地脏数据
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import logging as logger
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import traceback
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import random
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import copy
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import json
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import re
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import os
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import gc
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from difflib import SequenceMatcher
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from tqdm import tqdm
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import pandas as pd
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def txt_write(lines, path, mode="w", encode_type="utf-8"):
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"""
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txt【list】写入文件
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Args:
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lines[List]: input data to write, eg. ["桂林山水甲天下\\n"]
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path[String]: path of file of read, eg. "corpus/xuexiqiangguo.txt"
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mode[String]: write mode of file, eg. "w", "a+", "wb"
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encode_type[String]: data encode type of file, eg. "utf-8", "gbk"
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Returns:
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lines[List]: output lines
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"""
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try:
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file = open(path, mode, encoding=encode_type)
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file.writelines(lines)
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file.close()
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except Exception as e:
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logger.info(str(e))
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def txt_read(path, encode_type="utf-8", errors=None):
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"""
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读取txt文件,默认utf8格式, 不能有空行
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Args:
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path[String]: path of file of read, eg. "corpus/xuexiqiangguo.txt"
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encode_type[String]: data encode type of file, eg. "utf-8", "gbk"
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errors[String]: specifies how encoding errors handled, eg. "ignore", strict
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Returns:
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lines[List]: output lines
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"""
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lines = []
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try:
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file = open(path, "r", encoding=encode_type, errors=errors)
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lines = file.readlines()
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file.close()
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except Exception as e:
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logger.info(str(e))
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finally:
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return lines
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def save_xlsx_from_json(res_xlsx, path_xlsx="save.xlsx"):
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""" json转化为xlsx的excel文件 """
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pdr = pd.DataFrame(res_xlsx)
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with pd.ExcelWriter(path_xlsx, engine="xlsxwriter",
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# options={"strings_to_urls": False}
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) as writer:
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pdr.to_excel(writer)
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def save_xlsx(path_json, path_xlsx="nkpmath.xlsx"):
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""" json转化为xlsx的excel文件 """
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kg_list = load_json(path_json)
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res_xlsx = {}
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for kg_i in kg_list:
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for jdx, kg_i_j in enumerate(kg_i):
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jdx_str = str(jdx)
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if jdx_str in res_xlsx:
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res_xlsx[jdx_str].append(kg_i_j)
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else:
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res_xlsx[jdx_str] = [kg_i_j]
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pdr = pd.DataFrame(res_xlsx)
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with pd.ExcelWriter(path_xlsx, engine="xlsxwriter",
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options={"strings_to_urls": False}) as writer:
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pdr.to_excel(writer)
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def save_json(jsons, json_path, indent=4):
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"""
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保存json
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Args:
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path[String]:, path of file of save, eg. "corpus/xuexiqiangguo.lib"
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jsons[Json]: json of input data, eg. [{"桂林": 132}]
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indent[int]: pretty-printed with that indent level, eg. 4
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Returns:
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None
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"""
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with open(json_path, "w", encoding="utf-8") as fj:
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fj.write(json.dumps(jsons, ensure_ascii=False, indent=indent))
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fj.close()
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def load_json(path, parse_int=None):
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"""
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加载json
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Args:
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path_file[String]:, path of file of save, eg. "corpus/xuexiqiangguo.lib"
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parse_int[Boolean]: equivalent to int(num_str), eg. True or False
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Returns:
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data[Any]
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"""
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102 |
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with open(path, mode="r", encoding="utf-8") as fj:
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model_json = json.load(fj, parse_int=parse_int)
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return model_json
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def get_all_dirs_files(path_dir):
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"""
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递归获取某个目录下的所有文件(所有层, 包括子目录)
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Args:
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path_dir[String]:, path of dir, eg. "/home/data"
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Returns:
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data[List]: data of input, eg. ["2020_01_08.txt"]
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"""
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path_files = []
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for root, dirs, files in os.walk(path_dir): # 分别代表根目录、文件夹、文件
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for file in files: # 遍历文件
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file_path = os.path.join(root, file) # 获取文件绝对路径
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path_files.append(file_path) # 将文件路径添加进列表
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files = list(set(path_files))
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files.sort()
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return files
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def find_diff_pos(sent1, sent2):
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"""
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判断两个病句的不同之处, 返回insert/delete/replace, difflib-SequenceMatcher
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args:
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sent1: str, sentence of org, eg. "春天来了,越来越来暖和了。"
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sent2: str, sentence of fix, eg. "春天来了,天气越来越暖和了。"
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return:
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diff_pos_s: List<Tuple>, tag and position, eg. ""
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129 |
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"""
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130 |
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matcher = SequenceMatcher(None, sent1, sent2)
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diff_pos_s = []
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132 |
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for tag, idx_1, idx_2, jdx_1, jdx_2 in matcher.get_opcodes():
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133 |
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if tag != "equal":
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134 |
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line_tuple = [tag, sent1[idx_1:idx_2],
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sent2[jdx_1: jdx_2], [idx_1, idx_2]]
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diff_pos_s.append(line_tuple)
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return diff_pos_s
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138 |
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def cut_sentence(text):
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""" 分句(文本摘要) """
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# re_sen = re.compile('[:;!?。:;?!\n\r]') #.不加是因为不确定.是小数还是英文句号(中文省略号......)
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# re_sen = re.compile('[!?。?!\n\r]')
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142 |
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# re_sen = re.compile('[,,"“”、<>《》{}【】:;!?。:;?!\n\r]') #.不加是因为不确定.是小数还是英文句号(中文省略号......)
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143 |
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re_sen = re.compile('[!?。?!\n\r…]')
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144 |
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sentences = re_sen.split(text)
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145 |
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return sentences
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146 |
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147 |
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148 |
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pun_1 = '"#$%&'()*+,-/:;<=>@[\]^_`{|}~⦅⦆「」、\u3000、〃〈〉《》「」『』【】〔〕〖〗〘〙〚〛〜〝〞〟 〰〾〿–—‘’‛“”„‟…‧﹏﹑﹔·!?。。'
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149 |
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pun_2 = """!"#$%&'()*+,-./:;<=>?@[\]^_`{|}~"""
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150 |
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puns = pun_1 + pun_2
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151 |
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def delete_last_punctuation(text):
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152 |
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""" -删除句末的标点符号- """
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153 |
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while len(text) > 0 and text[-1] in puns:
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154 |
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text = text[:-1]
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return text
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156 |
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157 |
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def tet_csc_clean_train_dataset_wang271k():
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158 |
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""" 清洗wang271数据集 """
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159 |
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import json
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160 |
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import sys
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161 |
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import os
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162 |
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path_root = os.path.abspath(os.path.join(os.path.dirname(__file__), "../.."))
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163 |
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sys.path.append(path_root)
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164 |
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print(path_root)
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165 |
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166 |
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path_dir = os.path.join(path_root, "macro_correct/corpus/text_correction/wang271k")
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167 |
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path_train = path_dir + "/train.json"
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168 |
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path_dev = path_dir + "/dev.json"
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169 |
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path_tet = path_dir + "/test.json"
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170 |
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paths = [path_train, path_dev, path_tet]
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171 |
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"""
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172 |
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{
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173 |
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"id":"--",
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174 |
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"original_text":"国中数学课辅班",
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175 |
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"wrong_ids":[],
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176 |
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"correct_text":"国中数学课辅班"
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177 |
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}
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178 |
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"""
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179 |
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count_yu_1 = 0
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180 |
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count_yu_2 = 0
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181 |
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count_fu_1 = 0
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182 |
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count_fu_2 = 0
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183 |
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count_ta_1 = 0
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184 |
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count_ta_2 = 0
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185 |
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count_de_1 = 0
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186 |
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for path in paths:
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187 |
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if not os.path.exists(path):
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188 |
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print("path is not ecist: " + path)
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189 |
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continue
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190 |
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data_json_list = load_json(path)
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191 |
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data_json_list_new = []
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192 |
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for jdx, d_json_org in enumerate(data_json_list):
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193 |
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d_json = copy.deepcopy(d_json_org)
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194 |
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original_text = d_json.get("original_text", "")
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195 |
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correct_text = d_json.get("correct_text", "")
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196 |
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wrong_ids = d_json.get("wrong_ids", [])
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197 |
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wrong_ids_new = []
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198 |
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for wid in wrong_ids:
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199 |
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char_error = original_text[wid]
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200 |
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char_true = correct_text[wid]
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201 |
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# 余 - 馀
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202 |
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flag_add = True
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203 |
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if char_error=="余" and char_true=="馀":
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204 |
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original_text = original_text[:wid] + char_true + original_text[wid+1:]
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205 |
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correct_text = correct_text[:wid] + char_error + correct_text[wid+1:]
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206 |
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count_yu_1 += 1
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207 |
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elif char_true=="馀":
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208 |
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correct_text = correct_text[:wid] + "余" + correct_text[wid+1:]
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209 |
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count_yu_2 += 1
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210 |
+
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211 |
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# 复-覆
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212 |
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# 覆-复
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213 |
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if char_error == "覆" and char_true == "复":
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214 |
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original_text = original_text[:wid] + char_true + original_text[wid + 1:]
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215 |
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correct_text = correct_text[:wid] + char_error + correct_text[wid + 1:]
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216 |
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count_fu_1 += 1
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217 |
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elif char_true == "覆":
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218 |
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# 答疆/回覆/反覆
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219 |
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# 覆审
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220 |
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if correct_text[wid-1:wid+1] in ["答覆", "回覆", "反覆"]:
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221 |
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correct_text = correct_text[:wid] + "复" + correct_text[wid + 1:]
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222 |
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elif correct_text[wid:wid+2] in ["覆审"]:
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223 |
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correct_text = correct_text[:wid] + "复" + correct_text[wid + 1:]
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224 |
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count_fu_2 += 1
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225 |
+
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226 |
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# 功-工
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227 |
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if char_error == "功" and char_true == "工":
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228 |
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"同工/工作/竣工"
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229 |
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"工夫/工效"
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230 |
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if correct_text[wid:wid + 2] in ["工夫", "工效"]:
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231 |
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original_text = original_text[:wid] + "工" + original_text[wid + 1:]
|
232 |
+
correct_text = correct_text[:wid] + "功" + correct_text[wid + 1:]
|
233 |
+
|
234 |
+
# 借-藉
|
235 |
+
if char_error == "借" and char_true == "藉":
|
236 |
+
original_text = original_text[:wid] + char_true + original_text[wid + 1:]
|
237 |
+
correct_text = correct_text[:wid] + char_error + correct_text[wid + 1:]
|
238 |
+
# 琅-瑯
|
239 |
+
if char_error == "琅" and char_true == "瑯":
|
240 |
+
original_text = original_text[:wid] + char_true + original_text[wid + 1:]
|
241 |
+
correct_text = correct_text[:wid] + char_error + correct_text[wid + 1:]
|
242 |
+
|
243 |
+
# 叶门-也门
|
244 |
+
if char_error == "也" and char_true == "叶":
|
245 |
+
if correct_text[wid:wid + 2] in ["叶门"]:
|
246 |
+
correct_text = correct_text[:wid] + char_error + correct_text[wid + 1:]
|
247 |
+
correct_text = correct_text.replace("叶门", "也门") # 多余得叶门
|
248 |
+
# 跨越数白百万公里后
|
249 |
+
if char_error == "百" and char_true == "白":
|
250 |
+
if correct_text[wid-1:wid + 2] in ["数白百"]:
|
251 |
+
correct_text = correct_text[:wid] + char_error + correct_text[wid + 1:]
|
252 |
+
|
253 |
+
# 震振有词 只改一半
|
254 |
+
if char_error == "震" and char_true == "振":
|
255 |
+
if correct_text[wid - 1:wid + 1] in ["震振"]:
|
256 |
+
correct_text = correct_text[:wid-1] + char_true + correct_text[wid-1+1:]
|
257 |
+
wrong_ids_new.append(wid-1)
|
258 |
+
# 外部, 经不起-禁不起
|
259 |
+
if char_error == "经" and char_true == "禁":
|
260 |
+
if correct_text[wid:wid + 3] in ["禁不住", "禁不起"] and \
|
261 |
+
"她曾经禁不住落泪" not in correct_text and \
|
262 |
+
"大家都禁不住拍手鼓掌" not in correct_text:
|
263 |
+
original_text = original_text[:wid] + char_true + original_text[wid + 1:]
|
264 |
+
correct_text = correct_text[:wid] + char_error + correct_text[wid + 1:]
|
265 |
+
|
266 |
+
# 他-她 不纠
|
267 |
+
if char_error == "他" and char_true == "她":
|
268 |
+
correct_text = correct_text[:wid] + char_error + correct_text[wid + 1:]
|
269 |
+
flag_add = False
|
270 |
+
count_ta_1 += 1
|
271 |
+
# 她 - 他
|
272 |
+
if char_error == "她" and char_true == "他":
|
273 |
+
correct_text = correct_text[:wid] + char_error + correct_text[wid + 1:]
|
274 |
+
flag_add = False
|
275 |
+
count_ta_2 += 1
|
276 |
+
# 小-晓 ### 人名不改
|
277 |
+
if char_error == "小" and char_true == "晓":
|
278 |
+
correct_text = correct_text[:wid] + char_error + correct_text[wid + 1:]
|
279 |
+
flag_add = False
|
280 |
+
# 一-逸 ### 人名不改, train都是人名, 吕逸涛/范逸臣/周逸雄
|
281 |
+
if char_error == "一" and char_true == "逸":
|
282 |
+
correct_text = correct_text[:wid] + char_error + correct_text[wid + 1:]
|
283 |
+
flag_add = False
|
284 |
+
# 吕一套被任命为二零一六央视春晚总导演。
|
285 |
+
# 佳-家 ### 人名不改, train都是人名, 张家玮 家慧
|
286 |
+
if char_error == "佳" and char_true == "家":
|
287 |
+
if correct_text[wid:wid + 2] in ["家玮", "家慧"]:
|
288 |
+
correct_text = correct_text[:wid] + char_error + correct_text[wid + 1:]
|
289 |
+
flag_add = False
|
290 |
+
# 得-地 ### 人名不改, 马哈得
|
291 |
+
if char_error == "得" and char_true == "地":
|
292 |
+
if correct_text[wid-2:wid+1] in ["马哈地"]:
|
293 |
+
correct_text = correct_text[:wid] + char_error + correct_text[wid + 1:]
|
294 |
+
flag_add = False
|
295 |
+
# 红-虹 ### 人名不改, 马哈得
|
296 |
+
if char_error == "红" and char_true == "虹": # 刘虹 虹姐 张虹 秀虹
|
297 |
+
if correct_text[wid-1:wid+1] in ["刘虹", "张虹", "秀虹"] or \
|
298 |
+
correct_text[wid:wid+2] in ["虹姐"]:
|
299 |
+
correct_text = correct_text[:wid] + char_error + correct_text[wid + 1:]
|
300 |
+
flag_add = False
|
301 |
+
# 民-明 ### 人名不改, 鲍明 冯大明 许传明 杨爱明
|
302 |
+
if char_error == "民" and char_true == "明":
|
303 |
+
if correct_text[wid - 1:wid + 1] in ["鲍明"] or \
|
304 |
+
correct_text[wid-2:wid + 1] in ["冯大明", "许传明", "杨爱明"]:
|
305 |
+
correct_text = correct_text[:wid] + char_error + correct_text[wid + 1:]
|
306 |
+
flag_add = False
|
307 |
+
|
308 |
+
# # 的 - 地
|
309 |
+
# # 的 - 得
|
310 |
+
# # 它 - 他
|
311 |
+
# # 哪 - 那
|
312 |
+
|
313 |
+
# # 改-大小改: 余-馀 覆-复 借-藉 功-工 琅-瑯 震-振 百-白 也-叶 经-禁(经不起-禁不起)
|
314 |
+
# # 部分不变(人名): 小-晓 一-逸 佳-家 得-地(马哈得) 红-虹 民-明
|
315 |
+
# # 匹配上但是不改的: 惟-唯 象-像 查-察 立-利 止-只 建-健 他-它 地-的 定-订 带-戴 力-利 成-城 点-店
|
316 |
+
# # 匹配上但是不改的: 作-做 得-的 场-厂 身-生 有-由 种-重 理-里
|
317 |
+
|
318 |
+
|
319 |
+
# # 空白没匹配上: 今-在 年-今 前-目 当-在 目-在 者-是
|
320 |
+
# # 外国人名等:其-齐 课-科 博-波
|
321 |
+
#
|
322 |
+
# if char_error == "民" and char_true == "明":
|
323 |
+
# # 张家玮 家慧 刘虹 虹姐 张虹 秀虹 鲍明 冯大明 许传明 杨爱明
|
324 |
+
# # print(original_text)
|
325 |
+
# # print(correct_text)
|
326 |
+
# # print(correct_text[wid - 1:wid + 1], correct_text[wid:wid+2])
|
327 |
+
# correct_text = correct_text[:wid] + char_error + correct_text[wid + 1:]
|
328 |
+
# count_de_1 += 1
|
329 |
+
# # "是那一段时间"
|
330 |
+
# # 发言人并未说明他住在那家疗养院,也未说明入院原因。
|
331 |
+
# # 但俄国官员却说,如果两千万美元费用未付,蓝斯那儿也去不成,目前双方还僵持在付费日期上。
|
332 |
+
# # 跨越数白百万公里后
|
333 |
+
# # 我们的眼睛也开始禁不起烟尘的刺激。 禁不住琢磨 禁不住 禁不起
|
334 |
+
# # 不禁令人担心
|
335 |
+
# # 她曾经禁不住落泪 大家都禁不住拍手鼓掌
|
336 |
+
if flag_add:
|
337 |
+
wrong_ids_new.append(wid)
|
338 |
+
|
339 |
+
d_json["original_text"] = original_text
|
340 |
+
d_json["correct_text"] = correct_text
|
341 |
+
d_json["wrong_ids"] = wrong_ids_new
|
342 |
+
data_json_list_new.append(d_json)
|
343 |
+
if wrong_ids_new != wrong_ids:
|
344 |
+
print("#"*128)
|
345 |
+
print("original_text_or: " + data_json_list[jdx].get("original_text", ""))
|
346 |
+
print("correct_text_org: " + data_json_list[jdx].get("correct_text", ""))
|
347 |
+
print("correct_text_new: " + correct_text)
|
348 |
+
print("wrong_ids_new: ", wrong_ids_new)
|
349 |
+
print("wrong_ids: ", wrong_ids)
|
350 |
+
|
351 |
+
save_json(data_json_list_new, os.path.split(path)[-1]+".handle_clean")
|
352 |
+
print(count_yu_1)
|
353 |
+
print(count_yu_2)
|
354 |
+
print(count_fu_1)
|
355 |
+
print(count_fu_2)
|
356 |
+
|
357 |
+
|
358 |
+
# test.json 和 dev.json 为 SIGHAN数据集, 包括SIGHAN13 14 15,来自 官方csc.html ,文件大小:339kb,4千条。
|
359 |
+
# train.json 为 Wang271k数据集,包括 Wang271k ,来自 Automatic-Corpus-Generation dimmywang提供 ,文件大小:93MB,27万条。
|
360 |
+
|
361 |
+
|
362 |
+
if __name__ == '__main__':
|
363 |
+
yz = 0
|
364 |
+
|
365 |
+
### 清洗数据
|
366 |
+
tet_csc_clean_train_dataset_wang271k()
|
367 |
+
|
368 |
+
|
369 |
+
"""
|
370 |
+
余-馀: 替换为馀-余
|
371 |
+
other - 馀: 替换为余
|
372 |
+
覆-复: 替换为复-覆
|
373 |
+
other-覆: # 答疆/回覆/反覆
|
374 |
+
# 覆审
|
375 |
+
他-她:不纠
|
376 |
+
她-他:不纠
|
377 |
+
人名不纠: 识别人名并丢弃
|
378 |
+
|
379 |
+
|
380 |
+
抽取人民日报语料中分错的(错得多的都需要补充预料)
|
381 |
+
者-是
|
382 |
+
或-还
|
383 |
+
立-利
|
384 |
+
震-振
|
385 |
+
即-既
|
386 |
+
|
387 |
+
"""
|
388 |
+
|
dev.json.handle_clean
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:01301abd89cb317152f8eda39f1f9732d3d532111c77283d5fdbba13f92042b4
|
3 |
+
size 11399969
|
test.json.handle_clean
ADDED
The diff for this file is too large to render.
See raw diff
|
|
train.json.handle_clean
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a39a720215516e639a8206576a0971073f93d4f0fed8cdb03e73c75ea21b2a84
|
3 |
+
size 102123745
|