README.md

metadata

license: apache-2.0
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
dataset_info:
  features:
    - name: messages
      list:
        - name: content
          list:
            - name: text
              dtype: string
            - name: type
              dtype: string
        - name: role
          dtype: string
    - name: images
      list: image
  splits:
    - name: train
      num_bytes: 9743067255
      num_examples: 16536
  download_size: 2211802666
  dataset_size: 9743067255
language:
  - en
tags:
  - medical
pretty_name: Medical-Visual-Instruct
size_categories:
  - 10K<n<100K

Get started

from datasets import load_dataset
ds = load_dataset("DaveKevin/med-instruct-sft")

Note

• This dataset is already in the required format for supervised finetuning for visual language models. There's no need for additional pre-processing. :)