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