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---
license: apache-2.0
task_categories:
- question-answering
language:
- en
size_categories:
- 100K<n<1M
tags:
- medical
- colonoscopy
- multimodal
- polyp
- endoscopy
---
# ColonINST-v1 Data Card
A large-scale mutlimodal instruction tuning dataset for colonoscopy research. *More details refer to our project page: https://github.com/ai4colonoscopy/ColonGPT*.
## Data description
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.
## Usage
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](https://github.com/ai4colonoscopy/ColonGPT/blob/main/docs/guideline-for-ColonINST.md#dataset-access-for-coloninst) to prepare all colonoscopy images.
However, the JSON files, which contain the human-machine dialogues, are available here for access. You can follow these steps:
- Make sure you have the datasets library installed. You can install it via pip:
```bash
pip install datasets
```
- You can easily download and load the dataset directly in your Python code:
```bash
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)
```
- If you need a specific split (e.g., train, validation, or test), you can access it like this:
```bash
train_dataset = load_dataset("ai4colonoscopy/ColonINST-v1", split="train")
```
## License
The content of this project itself is licensed under the Apache license 2.0.
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