| --- |
| 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. |
|
|
