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---
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. |