Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
json
Languages:
Chinese
Size:
100K - 1M
Tags:
text-correction
License:
shibing624
commited on
Commit
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Parent(s):
ca9ef2f
Update README.md
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README.md
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license: apache-2.0
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---
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license: apache-2.0
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language:
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- zh
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tags:
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- text-correction
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pretty_name: CSC
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task_categories:
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- text-generation
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---
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# Dataset Card for CSC
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- **Repository:** https://github.com/shibing624/pycorrector
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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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CSC is challenging since many Chinese characters are visually or phonologically similar but with quite different semantic meanings.
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SIGHAN+Wang271K中文纠错数据集(27万条),是通过原始SIGHAN13、14、15年数据集和Wang271K数据集格式转化后得到,json格式,带错误字符位置信息,SIGHAN为test.json。
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### Original Dataset Summary
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test.json 为 **SIGHAN数据集**, 包括SIGHAN13 14 15,来自 [官方csc.html](http://nlp.ee.ncu.edu.tw/resource/csc.html) ,大小:339K。
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train.json 和 dev.json 为 **Wang271K数据集**,包括 Wang271K ,来自 [Automatic-Corpus-Generation dimmywang提供](https://github.com/wdimmy/Automatic-Corpus-Generation/blob/master/corpus/train.sgml) ,大小: 93M 。
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### Supported Tasks and Leaderboards
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The Alpaca dataset designed for instruction training pretrained language models.
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### Languages
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The data in CSC are in Chinese.
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## Dataset Structure
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### Data Instances
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An example of "train" looks as follows:
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```json
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{
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"id": "B2-4029-3",
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"original_text": "晚间会听到嗓音,白天的时候大家都不会太在意,但是在睡觉的时候这嗓音成为大家的恶梦。",
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"wrong_ids": [
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5,
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31
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],
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"correct_text": "晚间会听到噪音,白天的时候大家都不会太在意,但是在睡觉的时候这噪音成为大家的恶梦。"
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}
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```
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### Data Fields
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字段解释:
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- id:唯一标识符,无意义
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- original_text: 原始错误文本
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- wrong_ids: 错误字的位置,从0开始
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- correct_text: 纠正后的文本
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### Data Splits
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| | train | dev | test |
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|---------------|------:|--:|--:|
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| CSC | 200K | 71K | 4K |
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## Dataset Creation
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### Curation Rationale
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[More Information Needed]
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### Source Data
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#### Initial Data Collection and Normalization
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[More Information Needed]
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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#### Annotation process
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[More Information Needed]
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#### Who are the annotators?
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[More Information Needed]
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### Personal and Sensitive Information
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[More Information Needed]
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## Considerations for Using the Data
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### Social Impact of Dataset
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### Discussion of Biases
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[More Information Needed]
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### Other Known Limitations
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## Additional Information
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### Dataset Curators
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[More Information Needed]
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### Licensing Information
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The dataset is available under the Apache 2.0.
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### Citation Information
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```latex
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@misc{Xu_Pycorrector_Text_error,
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title={Pycorrector: Text error correction tool},
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author={Xu Ming},
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year={2021},
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howpublished={\url{https://github.com/shibing624/pycorrector}},
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}
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```
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### Contributions
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[shibing624](https://github.com/shibing624) 整理并上传
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