metadata

license: apache-2.0
language:
  - zh
tags:
  - text-correction
pretty_name: CSC
task_categories:
  - text-generation

Dataset Card for CSC

Repository: https://github.com/shibing624/pycorrector

Dataset Description

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

CSC is challenging since many Chinese characters are visually or phonologically similar but with quite different semantic meanings.

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。

Original Dataset Summary

test.json 为 SIGHAN数据集，包括SIGHAN13 14 15，来自官方csc.html ，文件大小：339K，4千条。
train.json 和 dev.json 为 Wang271K数据集，包括 Wang271K ，来自 Automatic-Corpus-Generation dimmywang提供，文件大小：93M，27万条。

Supported Tasks and Leaderboards

The Alpaca dataset designed for instruction training pretrained language models.

Languages

The data in CSC are in Chinese.

Dataset Structure

Data Instances

An example of "train" looks as follows:

{
    "id": "B2-4029-3",
    "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。",
    "wrong_ids": [
        5,
        31
    ],
    "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。"
}

Data Fields

字段解释：

id：唯一标识符，无意义
original_text: 原始错误文本
wrong_ids：错误字的位置，从0开始
correct_text: 纠正后的文本

Data Splits

	train	dev	test
CSC	20万条	7万条	4千条

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

Discussion of Biases

[More Information Needed]

Other Known Limitations

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

The dataset is available under the Apache 2.0.

Citation Information

@misc{Xu_Pycorrector_Text_error,
  title={Pycorrector: Text error correction tool},
  author={Xu Ming},
  year={2021},
  howpublished={\url{https://github.com/shibing624/pycorrector}},
}

Contributions

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