README.md

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

# Dataset Card for CSC
中文拼写纠错数据集
- **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.

中文拼写纠错数据集，共27万条，是通过原始SIGHAN13、14、15年数据集和Wang271k数据集合并整理后得到，json格式，带错误字符位置信息。


### Original Dataset Summary

- test.json 和 dev.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) ，文件大小：339kb，4千条。
- train.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) ，文件大小：93MB，27万条。

如果只想用SIGHAN数据集，可以这样取数据：
```python
from datasets import load_dataset
dev_ds = load_dataset('shibing624/CSC', split='validation')
print(dev_ds)
print(dev_ds[0])
test_ds = load_dataset('shibing624/CSC', split='test')
print(test_ds)
print(test_ds[0])
```

### Supported Tasks and Leaderboards
中文拼写纠错任务

The dataset designed for csc task training pretrained language models.

### Languages

The data in CSC are in Chinese.

## Dataset Structure

### Data Instances

An example of "train" looks as follows:

```json
{
    "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        | 251835条 | 27981条 | 1100条 |

### Licensing Information

The dataset is available under the Apache 2.0.


### Citation Information

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

### Contributions

[shibing624](https://github.com/shibing624) 整理并上传