Hugging Face
Models
Datasets
Spaces
Buckets
new
Docs
Enterprise
Pricing
Website
Tasks
HuggingChat
Collections
Languages
Organizations
Community
Blog
Posts
Daily Papers
Hardware
Learn
Discord
Forum
GitHub
Solutions
Team & Enterprise
Hugging Face PRO
Enterprise Support
Inference Providers
Inference Endpoints
Storage Buckets
Log In
Sign Up
Datasets:
opscribe-ai
/
mis-abdominal-gi-min-invasive
Like
0
Follow
Opscribe-AI
7
Tasks:
Visual Question Answering
Languages:
English
Size:
10K<n<100K
Tags:
surgical
endoscopy
laparoscopy
robotic-surgery
medical
vision-language
License:
mixed-see-sources-table
Dataset card
Data Studio
Files
Files and versions
xet
Community
main
mis-abdominal-gi-min-invasive
Ctrl+K
Ctrl+K
1 contributor
History:
13 commits
Noah-Kalthoff22
Link Surg-396K to its repo, not the arXiv page, to drop the auto paper association
6c51d7f
verified
29 days ago
data
Split the manifest into data/train.jsonl and data/val.jsonl
29 days ago
recipe
Add the corrected non-leaking split with per-record source attribution
29 days ago
upstream
Move the upstream files out of the root; their published split leaks
29 days ago
.gitattributes
Safe
2.85 kB
Split the manifest into data/train.jsonl and data/val.jsonl
29 days ago
README.md
Safe
2.98 kB
Link Surg-396K to its repo, not the arXiv page, to drop the auto paper association
29 days ago
splits.json
Safe
3.21 kB
Add the corrected non-leaking split with per-record source attribution
29 days ago