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YAML Metadata Warning:The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
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
- 中文文本纠错数据集汇总 (天池):https://tianchi.aliyun.com/dataset/138195
- NLPCC 2023中文语法纠错数据集:http://tcci.ccf.org.cn/conference/2023/taskdata.php
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
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