language:en size_categories:n<1K format:json modality:text library:datasets library:pandas library:mlcroissant library:polars region:us medical
---
language:
- en
tags:
- medical
---
# VQA-RAD-text

This dataset is a text format of [VQA-RAD](https://osf.io/89kps/).

We built this dataset using the [`Meta-Llama-3-70B-Instruct`](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct), and the instruction we used is: `Rewrite the question-answer pairs into a paragraph format (Do not use the words 'question' and 'answer' in your responses):`.

To use this dataset, please download the original [VQA-RAD](https://osf.io/89kps/) to your local machine and include our *_text.json file.

## Citation

If you find this dataset useful in your research, please cite:

```
@misc{VQA-RAD-text,
    title={VQA-RAD-text},
    author={Kang, Myeongkyun},
    howpublished={\url{https://huggingface.co/datasets/myeongkyunkang/VQA-RAD-text}},
    year={2024}
}
```

## Acknowledgements

Thanks to the works that were useful for this project.
[VQA-RAD](https://osf.io/89kps/)