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metadata
license: apache-2.0
task_categories:
  - text2text-generation
language:
  - zh
size_categories:
  - 100M<n<1B
tags:
  - chinese-spelling-check
  - 中文

Dataset for CSC

中文纠错数据集

Dataset Description

Chinese Spelling Correction (CSC) is a task to detect and correct misspelled characters in Chinese texts.

共计 120w 条数据,以下是数据来源

数据集 语料 链接
SIGHAN+Wang271K 拼写纠错数据集 SIGHAN+Wang271K(27万条) https://huggingface.co/datasets/shibing624/CSC
ECSpell 拼写纠错数据集 包含法律、医疗、金融等领域 https://github.com/Aopolin-Lv/ECSpell
CGED 语法纠错数据集 仅包含了2016和2021年的数据集 https://github.com/wdimmy/Automatic-Corpus-Generation?spm=a2c22.12282016.0.0.5f3e7398w7SL4P
NLPCC 纠错数据集 包含语法纠错和拼写纠错 https://github.com/Arvid-pku/NLPCC2023_Shared_Task8
http://tcci.ccf.org.cn/conference/2023/dldoc/nacgec_training.zip
http://tcci.ccf.org.cn/conference/2018/dldoc/trainingdata02.tar.gz
pycorrector 语法纠错集 中文语法纠错数据集 https://github.com/shibing624/pycorrector/tree/llm/examples/data/grammar

其余的数据集还可以看

Languages

The data in CSC are in Chinese.

Dataset Structure

An example of "train" looks as follows:

{
  "conversations": [
    {"from":"human","value":"对这个句子纠错\n\n以后,我一直以来自学汉语了。"},
    {"from":"gpt","value":"从此以后,我就一直自学汉语了。"}
  ]
}

Contributions

Weaxs 整理并上传