metadata
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), 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.