---
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

```bash
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. :)