Datasets › ColonINST-v1 (Seen)
ColonINST-v1 (Seen)
ColonINST is a large-scale instruction tuning dataset designed for multimodal analysis in colonoscopy. This dataset comprises 62 categories, 303,001 colonoscopy images, including 128,620 positive and 174,381 negative cases collected from 19 publicly available datasets. We enhanced 128,620 colonoscopy images with detailed captions using a pipeline that interacts with GPT-4V through custom prompts, enriching the dataset for AI model training. We finally restructured 450,724 visual dialogues to guide the AI model through four downstream tasks critical for mutlimodal medical AI applications.
Benchmarks archive 2025-07-28
All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Image Classification | ColonINST-v1 (Seen) | ColonGPT (w/ LoRA, w/o extra data) Accuray 94.06 | Frontiers in Intelligent Colonoscopy | ai4colonoscopy/intelliscope | 17 | Compare |
| Referring expression generation | ColonINST-v1 (Seen) | ColonGPT (w/ LoRA, w/o extra data) Accuray 99.96 | Frontiers in Intelligent Colonoscopy | ai4colonoscopy/intelliscope | 17 | Compare |
Papers archive 2025-07-28
8 shown of 8 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 8. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Frontiers in Intelligent Colonoscopy | 1 | 2 | 22 Oct 2024 | ran 0 of 6 samples (6 unverified) |
| Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models | 2 | 4 | 27 Mar 2024 | ran 7 of 8 samples (1 unverified) |
| Efficient Multimodal Learning from Data-centric Perspective | 1 | 4 | 18 Feb 2024 | ran 4 of 7 samples (3 unverified) |
| MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices | 1 | 4 | 28 Dec 2023 | not harvested |
| MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning | 2 | 4 | 14 Oct 2023 | ran 3 of 3 samples (0 unverified; 1 pointer-only for licence) |
| Improved Baselines with Visual Instruction Tuning | 9 | 4 | 5 Oct 2023 | ran 6 of 9 samples (3 unverified; 8 pointer-only for licence) |
| LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day | 1 | 8 | 1 Jun 2023 | not harvested |
| Visual Instruction Tuning | 13 | 4 | 17 Apr 2023 | ran 16 of 51 samples (35 unverified) |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- ColonINST-v1 (Seen)
1 variant name, as the archive lists them.
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