

# Dataset Card for luotuo-QA-A

## Dataset Description

- **Homepage:** https://github.com/LC1332/Luotuo-Chinese-LLM
- **Repository:** https://github.com/LC1332/Luotuo-QA
- **Point of Contact:** qinyu_luo@163.com

### Dataset Summary

CoQA(Conversational Question Answering)数据集是一个用于对话式问答任务的大规模数据集，包含超过127,000个问题及其对应的答案。这些文本来自七个不同领域的段落：儿童故事、文学作品、中学和高中英语考试、新闻、维基百科、Reddit和Science。

CoQA数据集经过简单清洗，共有7012个story，我们在此基础上将整个数据集翻译成了中文并进行了增广，其中每个story中包含5个左右的问题，每个问题进行了5次增广。

由于此数据集是我们Luotuo-QA项目的一部分，我们将它叫做luotuo-QA-A,旨在促进对话式问答在中文语境下的研究和应用。

您可以在这里查看Luotuo-QA项目：https://github.com/LC1332/Luotuo-QA

此数据集适用于训练和评估中文对话式问答模型。有益于推动中文自然语言处理领域的发展，同时也为研究人员和开发者提供了一个基准，用于比较不同模型的性能和探索新的方法。

我们希望这一工作能够促进全球范围内中文语境对话式问答任务的研究和进一步的创新。


The CoQA (Conversational Question Answering) dataset is a large-scale dataset for conversational question answering tasks, consisting of over 127,000 questions and their corresponding answers. These texts are derived from passages in seven different domains: children's stories, literature, middle and high school English exams, news, Wikipedia, Reddit, and Science.

The CoQA dataset has undergone simple cleaning and consists of 7,012 stories. Building upon this dataset, we have translated the entire collection into Chinese and performed augmentation. Each story contains around 5 questions, and each question has been augmented 5 times.

As this dataset is part of our Luotuo-QA project, we name this dataset as luotuo-QA-A. It aims to facilitate research and applications of conversational question answering in the Chinese language context.

You can find our Luotuo-QA project here: https://github.com/LC1332/Luotuo-QA

This dataset is suitable for training and evaluating Chinese conversational question answering models. It contributes to the advancement of Chinese natural language processing and provides researchers and developers with a benchmark to compare the performance of different models and explore new approaches.

We hope that this work will foster research and further innovation in conversational question answering tasks in the Chinese language context on a global scale.



### Languages
CHINESE
### Data Instances

```
文本：长妈妈曾经讲给我一个故事听：先前，有一个读书人住在古庙里用功，晚间， 在院子里纳凉的时候，突然听到有人在叫他。答应着，四面看时，却见一个美女的 脸露在墙头上，向他一笑，隐去了。他很高兴；但竟给那走来夜谈的老和尚识破了 机关。说他脸上有些妖气，一定遇见“美女蛇”了；这是人首蛇身的怪物，能唤人 名，倘一答应，夜间便要来吃这人的肉的。他自然吓得要死，而那老和尚却道无妨 ，给他一个小盒子，说只要放在枕边，便可高枕而卧。他虽然照样办，却总是睡不 着，——当然睡不着的。到半夜，果然来了，沙沙沙！门外象是风雨声。他正抖作 一团时，却听得豁的一声，一道金光从枕边飞出，外面便什么声音也没有了，那金 光也就飞回来，敛在盒子里。后来呢？后来，老和尚说，这是飞蜈蚣，它能吸蛇的 脑髓，美女蛇就被它治死了。

原始问题为：谁遇到了美女蛇？
问题转义为:谁被美女蛇所困扰?
答案为:读书人
问题转义为:美女蛇袭击了谁?
答案为:读书人

原始问题为：谁杀了美女蛇
问题转义为:谁杀死了美女蛇
答案为:飞蜈蚣
```

### Licensing Information
我们的协议与CoQA数据集原始协议保持一致，请阅读以下内容。

CoQA数据集包含来自七个领域的段落。我们将其中五个领域的段落以以下许可证公开：

文学和维基百科段落遵循CC BY-SA 4.0许可证共享。
儿童故事选自MCTest，该数据集附带MSR-LA许可证。
中学/高中考试段落选自RACE，该数据集有自己的许可证。
新闻段落选自DeepMind CNN数据集，该数据集有Apache许可证。

Our licenses aligns with the original licenses of the CoQA dataset. Please refer to the following information.

CoQA contains passages from seven domains. It make five of these public under the following licenses. 
We did translation and augmentation on the CoQA dataset. Therefore, the generated part of the data still complies with the original agreement of CoQA:

Literature and Wikipedia passages are shared under CC BY-SA 4.0 license.
Children's stories are collected from MCTest which comes with MSR-LA license.
Middle/High school exam passages are collected from RACE which comes with its own license.
News passages are collected from the DeepMind CNN dataset which comes with Apache license.

### Citation Information
如果您在项目中使用了我们的模型、代码或者数据，请引用我们。

Please cite us if you use the data or code in this repo.

```bibtex
@misc{alpaca,
  author={Jianshen Liao, Ao Sun, Qinyu Luo, Hongsen Huang, Cheng Li},
  title = {Luotuo-QA: Better Conversational Question Answering Model with Answer Completion},
  year = {2023},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/LC1332/Luotuo-QA}},
}
```

### Contributions
Thanks to @XXX, @XXXXXX, @XXXX, @XXXXXX, @XXXXXX, @XXX for adding this dataset.
task_categories:question-answering size_categories:10K<n<100K language:zh language:en license:other region:us
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TAGS
#task_categories-question-answering #size_categories-10K<n<100K #language-Chinese #language-English #license-other #region-us 



# Dataset Card for luotuo-QA-A

## Dataset Description

- Homepage: URL
- Repository: URL
- Point of Contact: qinyu_luo@URL

### Dataset Summary

CoQA(Conversational Question Answering)数据集是一个用于对话式问答任务的大规模数据集，包含超过127,000个问题及其对应的答案。这些文本来自七个不同领域的段落：儿童故事、文学作品、中学和高中英语考试、新闻、维基百科、Reddit和Science。

CoQA数据集经过简单清洗，共有7012个story，我们在此基础上将整个数据集翻译成了中文并进行了增广，其中每个story中包含5个左右的问题，每个问题进行了5次增广。

由于此数据集是我们Luotuo-QA项目的一部分，我们将它叫做luotuo-QA-A,旨在促进对话式问答在中文语境下的研究和应用。

您可以在这里查看Luotuo-QA项目：URL

此数据集适用于训练和评估中文对话式问答模型。有益于推动中文自然语言处理领域的发展，同时也为研究人员和开发者提供了一个基准，用于比较不同模型的性能和探索新的方法。

我们希望这一工作能够促进全球范围内中文语境对话式问答任务的研究和进一步的创新。


The CoQA (Conversational Question Answering) dataset is a large-scale dataset for conversational question answering tasks, consisting of over 127,000 questions and their corresponding answers. These texts are derived from passages in seven different domains: children's stories, literature, middle and high school English exams, news, Wikipedia, Reddit, and Science.

The CoQA dataset has undergone simple cleaning and consists of 7,012 stories. Building upon this dataset, we have translated the entire collection into Chinese and performed augmentation. Each story contains around 5 questions, and each question has been augmented 5 times.

As this dataset is part of our Luotuo-QA project, we name this dataset as luotuo-QA-A. It aims to facilitate research and applications of conversational question answering in the Chinese language context.

You can find our Luotuo-QA project here: URL

This dataset is suitable for training and evaluating Chinese conversational question answering models. It contributes to the advancement of Chinese natural language processing and provides researchers and developers with a benchmark to compare the performance of different models and explore new approaches.

We hope that this work will foster research and further innovation in conversational question answering tasks in the Chinese language context on a global scale.



### Languages
CHINESE
### Data Instances



### Licensing Information
我们的协议与CoQA数据集原始协议保持一致，请阅读以下内容。

CoQA数据集包含来自七个领域的段落。我们将其中五个领域的段落以以下许可证公开：

文学和维基百科段落遵循CC BY-SA 4.0许可证共享。
儿童故事选自MCTest，该数据集附带MSR-LA许可证。
中学/高中考试段落选自RACE，该数据集有自己的许可证。
新闻段落选自DeepMind CNN数据集，该数据集有Apache许可证。

Our licenses aligns with the original licenses of the CoQA dataset. Please refer to the following information.

CoQA contains passages from seven domains. It make five of these public under the following licenses. 
We did translation and augmentation on the CoQA dataset. Therefore, the generated part of the data still complies with the original agreement of CoQA:

Literature and Wikipedia passages are shared under CC BY-SA 4.0 license.
Children's stories are collected from MCTest which comes with MSR-LA license.
Middle/High school exam passages are collected from RACE which comes with its own license.
News passages are collected from the DeepMind CNN dataset which comes with Apache license.


如果您在项目中使用了我们的模型、代码或者数据，请引用我们。

Please cite us if you use the data or code in this repo.



### Contributions
Thanks to @XXX, @XXXXXX, @XXXX, @XXXXXX, @XXXXXX, @XXX for adding this dataset.
# Dataset Card for luotuo-QA-A ## Dataset Description

- Homepage: URL
- Repository: URL
- Point of Contact: qinyu_luo@URL ### Dataset Summary

CoQA(Conversational Question Answering)数据集是一个用于对话式问答任务的大规模数据集，包含超过127,000个问题及其对应的答案。这些文本来自七个不同领域的段落：儿童故事、文学作品、中学和高中英语考试、新闻、维基百科、Reddit和Science。

CoQA数据集经过简单清洗，共有7012个story，我们在此基础上将整个数据集翻译成了中文并进行了增广，其中每个story中包含5个左右的问题，每个问题进行了5次增广。

由于此数据集是我们Luotuo-QA项目的一部分，我们将它叫做luotuo-QA-A,旨在促进对话式问答在中文语境下的研究和应用。

您可以在这里查看Luotuo-QA项目：URL

此数据集适用于训练和评估中文对话式问答模型。有益于推动中文自然语言处理领域的发展，同时也为研究人员和开发者提供了一个基准，用于比较不同模型的性能和探索新的方法。

我们希望这一工作能够促进全球范围内中文语境对话式问答任务的研究和进一步的创新。


The CoQA (Conversational Question Answering) dataset is a large-scale dataset for conversational question answering tasks, consisting of over 127,000 questions and their corresponding answers. These texts are derived from passages in seven different domains: children's stories, literature, middle and high school English exams, news, Wikipedia, Reddit, and Science.

The CoQA dataset has undergone simple cleaning and consists of 7,012 stories. Building upon this dataset, we have translated the entire collection into Chinese and performed augmentation. Each story contains around 5 questions, and each question has been augmented 5 times.

As this dataset is part of our Luotuo-QA project, we name this dataset as luotuo-QA-A. It aims to facilitate research and applications of conversational question answering in the Chinese language context.

You can find our Luotuo-QA project here: URL

This dataset is suitable for training and evaluating Chinese conversational question answering models. It contributes to the advancement of Chinese natural language processing and provides researchers and developers with a benchmark to compare the performance of different models and explore new approaches.

We hope that this work will foster research and further innovation in conversational question answering tasks in the Chinese language context on a global scale. ### Languages
CHINESE ### Data Instances ### Licensing Information
我们的协议与CoQA数据集原始协议保持一致，请阅读以下内容。

CoQA数据集包含来自七个领域的段落。我们将其中五个领域的段落以以下许可证公开：

文学和维基百科段落遵循CC BY-SA 4.0许可证共享。
儿童故事选自MCTest，该数据集附带MSR-LA许可证。
中学/高中考试段落选自RACE，该数据集有自己的许可证。
新闻段落选自DeepMind CNN数据集，该数据集有Apache许可证。

Our licenses aligns with the original licenses of the CoQA dataset. Please refer to the following information.

CoQA contains passages from seven domains. It make five of these public under the following licenses. 
We did translation and augmentation on the CoQA dataset. Therefore, the generated part of the data still complies with the original agreement of CoQA:

Literature and Wikipedia passages are shared under CC BY-SA 4.0 license.
Children's stories are collected from MCTest which comes with MSR-LA license.
Middle/High school exam passages are collected from RACE which comes with its own license.
News passages are collected from the DeepMind CNN dataset which comes with Apache license.


如果您在项目中使用了我们的模型、代码或者数据，请引用我们。

Please cite us if you use the data or code in this repo. ### Contributions
Thanks to @XXX, @XXXXXX, @XXXX, @XXXXXX, @XXXXXX, @XXX for adding this dataset.
TAGS
#task_categories-question-answering #size_categories-10K<n<100K #language-Chinese #language-English #license-other #region-us 
 # Dataset Card for luotuo-QA-A ## Dataset Description

- Homepage: URL
- Repository: URL
- Point of Contact: qinyu_luo@URL ### Dataset Summary

CoQA(Conversational Question Answering)数据集是一个用于对话式问答任务的大规模数据集，包含超过127,000个问题及其对应的答案。这些文本来自七个不同领域的段落：儿童故事、文学作品、中学和高中英语考试、新闻、维基百科、Reddit和Science。

CoQA数据集经过简单清洗，共有7012个story，我们在此基础上将整个数据集翻译成了中文并进行了增广，其中每个story中包含5个左右的问题，每个问题进行了5次增广。

由于此数据集是我们Luotuo-QA项目的一部分，我们将它叫做luotuo-QA-A,旨在促进对话式问答在中文语境下的研究和应用。

您可以在这里查看Luotuo-QA项目：URL

此数据集适用于训练和评估中文对话式问答模型。有益于推动中文自然语言处理领域的发展，同时也为研究人员和开发者提供了一个基准，用于比较不同模型的性能和探索新的方法。

我们希望这一工作能够促进全球范围内中文语境对话式问答任务的研究和进一步的创新。


The CoQA (Conversational Question Answering) dataset is a large-scale dataset for conversational question answering tasks, consisting of over 127,000 questions and their corresponding answers. These texts are derived from passages in seven different domains: children's stories, literature, middle and high school English exams, news, Wikipedia, Reddit, and Science.

The CoQA dataset has undergone simple cleaning and consists of 7,012 stories. Building upon this dataset, we have translated the entire collection into Chinese and performed augmentation. Each story contains around 5 questions, and each question has been augmented 5 times.

As this dataset is part of our Luotuo-QA project, we name this dataset as luotuo-QA-A. It aims to facilitate research and applications of conversational question answering in the Chinese language context.

You can find our Luotuo-QA project here: URL

This dataset is suitable for training and evaluating Chinese conversational question answering models. It contributes to the advancement of Chinese natural language processing and provides researchers and developers with a benchmark to compare the performance of different models and explore new approaches.

We hope that this work will foster research and further innovation in conversational question answering tasks in the Chinese language context on a global scale. ### Languages
CHINESE ### Data Instances ### Licensing Information
我们的协议与CoQA数据集原始协议保持一致，请阅读以下内容。

CoQA数据集包含来自七个领域的段落。我们将其中五个领域的段落以以下许可证公开：

文学和维基百科段落遵循CC BY-SA 4.0许可证共享。
儿童故事选自MCTest，该数据集附带MSR-LA许可证。
中学/高中考试段落选自RACE，该数据集有自己的许可证。
新闻段落选自DeepMind CNN数据集，该数据集有Apache许可证。

Our licenses aligns with the original licenses of the CoQA dataset. Please refer to the following information.

CoQA contains passages from seven domains. It make five of these public under the following licenses. 
We did translation and augmentation on the CoQA dataset. Therefore, the generated part of the data still complies with the original agreement of CoQA:

Literature and Wikipedia passages are shared under CC BY-SA 4.0 license.
Children's stories are collected from MCTest which comes with MSR-LA license.
Middle/High school exam passages are collected from RACE which comes with its own license.
News passages are collected from the DeepMind CNN dataset which comes with Apache license.


如果您在项目中使用了我们的模型、代码或者数据，请引用我们。

Please cite us if you use the data or code in this repo. ### Contributions
Thanks to @XXX, @XXXXXX, @XXXX, @XXXXXX, @XXXXXX, @XXX for adding this dataset.
passage: TAGS
#task_categories-question-answering #size_categories-10K<n<100K #language-Chinese #language-English #license-other #region-us 
# Dataset Card for luotuo-QA-A## Dataset Description

- Homepage: URL
- Repository: URL
- Point of Contact: qinyu_luo@URL