A large-scale mutlimodal instruction tuning dataset for colonoscopy research. More details refer to our project page: https://github.com/ai4colonoscopy/ColonGPT.

We introduce a pioneering instruction tuning dataset for multimodal colonoscopy research, aimed at instructing models to execute user-driven tasks interactively. This dataset comprises of 62 categories, 300K+ colonoscopic images, 128K+ medical captions (GPT-4V) generated), and 450K+ human-machine dialogues.
Our ColonINST-v1 dataset consists of two parts: colonoscopy images and human-machine dialogues (in JSON format). Due to privacy concerns associated with medical images, we are unable to publicly share the original colonoscopy images. Please follow this instruction to prepare all colonoscopy images. If you encounter any difficulties in preparing the data, you can contact us via email (gepengai.ji@gmail.com).
However, the JSON files, which contain the human-machine dialogues, are available here for access. You can follow these steps:
pip install datasets
from datasets import load_dataset
# Load the ColonINST-v1 dataset
dataset = load_dataset("ai4colonoscopy/ColonINST-v1")
# Once downloaded, you can explore the dataset like this
print(dataset)
train_dataset = load_dataset("ai4colonoscopy/ColonINST-v1", split="train")
The content of this project itself is licensed under the Apache license 2.0.
A large-scale mutlimodal instruction tuning dataset for colonoscopy research. More details refer to our project page: https://github.com/ai4colonoscopy/ColonGPT.

We introduce a pioneering instruction tuning dataset for multimodal colonoscopy research, aimed at instructing models to execute user-driven tasks interactively. This dataset comprises of 62 categories, 300K+ colonoscopic images, 128K+ medical captions (GPT-4V) generated), and 450K+ human-machine dialogues.
Our ColonINST-v1 dataset consists of two parts: colonoscopy images and human-machine dialogues (in JSON format). Due to privacy concerns associated with medical images, we are unable to publicly share the original colonoscopy images. Please follow this instruction to prepare all colonoscopy images. If you encounter any difficulties in preparing the data, you can contact us via email (gepengai.ji@gmail.com).
However, the JSON files, which contain the human-machine dialogues, are available here for access. You can follow these steps:
pip install datasets
from datasets import load_dataset
# Load the ColonINST-v1 dataset
dataset = load_dataset("ai4colonoscopy/ColonINST-v1")
# Once downloaded, you can explore the dataset like this
print(dataset)
train_dataset = load_dataset("ai4colonoscopy/ColonINST-v1", split="train")
The content of this project itself is licensed under the Apache license 2.0.