task_categories:question-answering language:en license:cc-by-nc-4.0 size_categories:10K<n<100K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars arxiv:2502.00196 region:us dermatology skin_lesion
---
language:
- en
license: cc-by-nc-4.0
size_categories:
- 10K<n<100K
task_categories:
- question-answering
dataset_info:
  features:
  - name: image_id
    dtype: string
  - name: image_path
    dtype: string
  - name: dataset_origin
    dtype: string
  - name: question
    dtype: string
  - name: answer
    dtype: string
  splits:
  - name: train
    num_bytes: 43420729
    num_examples: 92020
  download_size: 14384301
  dataset_size: 43420729
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
tags:
- dermatology
- skin_lesion
---

GitHub Link: https://github.com/abdurrahimyilmaz/DermaSynth \
Paper: https://www.arxiv.org/pdf/2502.00196 \
Fine-tuned Model: https://huggingface.co/abdurrahimyilmaz/DermatoLlama-1.0

Please cite the paper, if you use the model or dataset:
```bibtex
@article{yilmaz2025dermasynth,
  title={DermaSynth: Rich Synthetic Image-Text Pairs Using Open Access Dermatology Datasets},
  author={Yilmaz, Abdurrahim and Yuceyalcin, Furkan and Gokyayla, Ece and Choi, Donghee and Erdem, Ozan and Demircali, Ali Anil and Varol, Rahmetullah and Kirabali, Ufuk Gorkem and Gencoglan, Gulsum and Posma, Joram M and Temelkuran, Burak},
  journal={arXiv preprint arXiv:2502.00196},
  year={2025}
}
```