---
dataset_info:
  features:
  - name: id
    dtype: int64
  - name: image
    dtype: image
  - name: conversation
    struct:
    - name: data
      list:
      - name: answer
        dtype: string
      - name: question
        dtype: string
  splits:
  - name: train
    num_bytes: 1758709042
    num_examples: 700
  download_size: 1758460335
  dataset_size: 1758709042
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
language:
- en
pretty_name: skin cancer conversational dataset
task_categories:
- question-answering
tags:
- medical
size_categories:
- n<1K
---

This dataset is made using raw data from [ISIC(The International Skin Imaging Collaboration)](https://www.isic-archive.com/), an academia and industry partnership designed to use digital skin imaging to help reduce skin cancer mortality.

For each image in the original raw dataset we used the associated metadata to generate a simulated conversation about the image between a user and a chatbot.