task_categories:conversational size_categories:10K<n<100K language:zh language:en license:apache-2.0 arxiv:2305.14994 region:us
---
license: apache-2.0
dataset_info:
  features:
  - name: dialogue
    dtype: string
  - name: reference
    dtype: string
  - name: language
    dtype: string
  - name: type
    dtype: string
  splits:
  - name: zh
    num_bytes: 180760081
    num_examples: 50000
  - name: en
    num_bytes: 464054853
    num_examples: 50000
  download_size: 260969665
  dataset_size: 644814934
task_categories:
- conversational
language:
- zh
- en
arxiv: https://arxiv.org/abs/2305.14994
size_categories:
- 10K<n<100K
---
# Dataset Card for RefGPT-Fact

## Dataset Description

- **Homepage:** 
- **Repository:** [https://github.com/ziliwangnlp/RefGPT](https://github.com/ziliwangnlp/RefGPT)
- **Paper:** [https://arxiv.org/abs/2305.14994](https://arxiv.org/abs/2305.14994)
- **Leaderboard:** 
- **Point of Contact:** 

### Dataset Summary
 <p align="center">
  <a href="https://arxiv.org/abs/2305.14994"><b>[Paper] RefGPT</b></a>  | 
   <a href="https://github.com/ziliwangnlp/RefGPT"><b>[Github] RefGPT</b></a>
</p>
RefGPT-Fact is a datasets containing 100k multi-turn dialogues about factual knowledge with 50k English and 50k Chinese. The English version uses the English Wikipedia as the reference and the Chinese version uses the frequently-used Chinese online encyclopedia website, Baidu Baike.

### Supported Tasks and Leaderboards

Chatbot instruction finetuning

### Languages

Chinese, English

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]

## 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

Please pay attention that RefGPT Datasets, including RefGPT-Fact and RefGPT-Code, have not undergone manual verification, and as such, their security cannot be strictly guaranteed. Users should be aware that they are responsible for the results generated using this data.

### Discussion of Biases

As the datasets RefGPT-Fact and RefGPT-Code are collected by using the references like Wikipedia and Github repositories, it can not be avoided that the reference itself has factual errors, typos, or bugs and malicious code if it is from Github repositories. The datasets may also reflect the biases of the selected references and GPT-3.5/GPT-4 model

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

```bibtex
@misc{yang2023refgpt,
      title={RefGPT: Reference -> Truthful & Customized Dialogues Generation by GPTs and for GPTs}, 
      author={Dongjie Yang and Ruifeng Yuan and YuanTao Fan and YiFei Yang and Zili Wang and Shusen Wang and Hai Zhao},
      year={2023},
      eprint={2305.14994},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
```

### Contributions

[More Information Needed]