---
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: 23803760
    num_examples: 500
  download_size: 23432954
  dataset_size: 23803760
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
task_categories:
- question-answering
language:
- en
tags:
- medical
pretty_name: skin cancer conversational dataset
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.