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  license: apache-2.0
 
 
 
 
 
 
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  license: apache-2.0
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+ task_categories:
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+ - text2text-generation
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+ language:
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+ - zh
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+ size_categories:
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+ - 100M<n<1B
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  ---
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+
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+ # Dataset for CSC
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+
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+ 中文纠错数据集
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+
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+ # Dataset Description
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+ Chinese Spelling Correction (CSC) is a task to detect and correct misspelled characters in Chinese texts.
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+
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+ 共计 326w 条数据,以下是数据来源
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+
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+ |数据集|语料|链接|
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+ |------|------|------|
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+ |SIGHAN+Wang271K 拼写纠错数据集|SIGHAN+Wang271K(27万条)|https://huggingface.co/datasets/shibing624/CSC|
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+ |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|
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+ |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|
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+ |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|
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+ |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|
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+
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+ 其余的数据集还可以看
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+
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+ - 中文文本纠错数据集汇总 (天池):https://tianchi.aliyun.com/dataset/138195
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+ - NLPCC 2023中文语法纠错数据集:http://tcci.ccf.org.cn/conference/2023/taskdata.php
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+
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+
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+ # Languages
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+ The data in CSC are in Chinese.
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+
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+ # Dataset Structure
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+ An example of "train" looks as follows:
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+ ```json
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+ {"conversations":
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+ [
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+ {"from":"human","value":"对这个句子纠错\n\n以后,我一直以来自学汉语了。"},
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+ {"from":"gpt","value":"从此以后,我就一直自学汉语了。"}
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+ ]
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+ }
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+
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+ ```
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+
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+ # Contributions
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+
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+ [Weaxs](https://github.com/Weaxs) 整理并上传