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