---
license: other
license_name: mixed-see-sources-table
pretty_name: OpScribe GI / Minimally-Invasive Surgical VQA
language: [en]
task_categories: [visual-question-answering]
size_categories: [10K<n<100K]
annotations_creators: [derived]
source_datasets: [extended]
tags: [surgical, endoscopy, laparoscopy, robotic-surgery, medical, vision-language]
---

# OpScribe GI / Minimally-Invasive Surgical VQA

**No images are included.** This is 86,991 question–answer pairs that reference frames
in nine public surgical corpora. You obtain the frames yourself, from each source,
under that source's own terms.

Built as stage 1 of a training curriculum for SurgVU 2026 Category 2.

## Contents

| file | |
|---|---|
| `data/train.jsonl` | 75,382 pairs |
| `data/val.jsonl` | 11,609 pairs |
| `splits.json` | which case buckets are train and which are val |
| `recipe/build_gi_stage1.py` | rebuilds the corpus from the source datasets |

Each record: `question`, `answer`, `source`, `source_image` (path relative to that
source's own root), `case`.

Frames were resized to 512×512 for training.

## Sources

| source | pairs | procedure | link |
|---|---:|---|---|
| GraSP / PSI-AVA | 30,000 | robotic prostatectomy | [github](https://github.com/BCV-Uniandes/GraSP) |
| CholecT50 | 15,000 | cholecystectomy | [github](https://github.com/CAMMA-public/cholect50) |
| LapGyn4 | 10,000 | gynaecology | [itec](http://ftp.itec.aau.at/datasets/LapGyn4/) |
| MultiBypass140 | 8,198 | gastric bypass | [github](https://github.com/CAMMA-public/MultiBypass140) |
| Surg-396K | 7,507 | mixed (EndoVis-VQLA subset) | [EndoChat](https://github.com/gkw0010/EndoChat) |
| HeiCo | 4,998 | colorectal | [paper](https://www.nature.com/articles/s41597-021-00882-2) |
| SLAM | 4,626 | laparoscopic actions | [figshare](https://figshare.com/articles/dataset/SLAM_-_Surgical_LAparoscopic_Motions/28104782) |
| HyperKvasir | 3,838 | GI endoscopy | [simula](https://datasets.simula.no/hyper-kvasir/) |
| HeiChole | 2,824 | cholecystectomy | [challenge](https://endovissub-workflowandskill.grand-challenge.org/) |

Please cite all nine.

## Licence

Mixed. CholecT50 and HeiCo are CC BY-NC-SA; HyperKvasir is CC BY 4.0; HeiChole
requires registration. Check each source before use. We do not relicense any of it.

## The split differs from the published one, on purpose

The upstream release split by record, so the same frame lands on both sides:
**2,143 images (25.3% of val) also appear in train**, and 469 of 615 val directories
are on both sides.

This split is by image directory — a real video — hashed into 200 buckets, 180 train
and 20 val. Verified: **0 images and 0 directories shared between splits.**

Results on this split are not comparable to published numbers on the upstream one.
The original files are kept under `upstream/` for reference.

## Limitations

Stills, not video. Question phrasing varies by source. GraSP is a third of the
corpus, so robotic prostatectomy is over-represented.