EgoExOR: An Egocentric–Exocentric Operating Room Dataset for Comprehensive Understanding of Surgical Activities
Verified by Mdexa · Checked against the source text under public rules.How we check
- Commercial use
- Yes
- Derivatives
- Yes
- Redistribution
- Yes
- File on Mdexa
- NoLink only
first-hand data-scope statement(s) allow commercial use and redistribution
Cite this pageMdexa, EgoExOR: An Egocentric–Exocentric Operating Room Dataset for Comprehensive Understanding of Surgical Activities, https://mdexa.com/datasets/egoexor/, verified 2026-11-14.
Key facts
- Domain
- Clinical medicine · Medical imaging Modern medicine
- Content
- Annotated corporaEgocentric-exocentric operating-room dataset and benchmark: 94 minutes (84,553 frames) of two emulated spine procedures with RGB, gaze, hand tracking, audio, depth, ultrasound and scene graphs.
- Size
- —As stated: 94 minutes (84,553 frames at 15 FPS)
- Language / modality
- English / Text · Image · Audio · Video · Graph
- Publisher
- ardamamur
- Year
- —
- Expert review
- —
- Verification
- Verified: license text seen
Commercial use of EgoExOR: An Egocentric–Exocentric Operating Room Dataset for Comprehensive Understanding of Surgical Activities
Commercial use: Yes. License status: Permissive.
- Conditions
- Notice kept
Quoted statements and their sources are in EgoExOR: An Egocentric–Exocentric Operating Room Dataset for Comprehensive Understanding of Surgical Activities license evidence.
Verdicts record what sources state and are not legal advice.
EgoExOR: An Egocentric–Exocentric Operating Room Dataset for Comprehensive Understanding of Surgical Activities license evidence 3
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Hugging Face card metadataPage opened
Apache-2.0Third-party text · Hugging Face card metadata
license: apache-2.0
Statement found in snapshot s01 (readme)
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READMEPage opened
Apache-2.0Third-party text · README
Released under the **Apache 2.0 License**, permitting free academic and commercial use with attribution.
Statement found in snapshot s01 (readme)
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Dataset pagePage opened
Apache-2.0Third-party text · Dataset page
Released under the Apache 2.0 License , permitting free academic and commercial use with attribution.
Statement found in snapshot s02 (page)
Source and lineage
No upstream or downstream datasets recorded.
Known issues with EgoExOR: An Egocentric–Exocentric Operating Room Dataset for Comprehensive Understanding of Surgical Activities
- Camera IDs in eye_gaze/coordinates must be mapped through metadata/sources; the take-level sources file must not be used for that mapping.
Preflight
Not run Runs only on ingested data; says nothing about quality.
Downloading EgoExOR: An Egocentric–Exocentric Operating Room Dataset for Comprehensive Understanding of Surgical Activities and API access
No file on Mdexa (see the verdict). Get it from the source and confirm the terms there:
15 files · 195.0 GB
curl -L --create-dirs -o ".gitattributes" "https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/.gitattributes"
curl -L --create-dirs -o "README.md" "https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/README.md"
curl -L --create-dirs -o "croissant.json" "https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/croissant.json"
curl -L --create-dirs -o "metadata.yaml" "https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/metadata.yaml"
curl -L --create-dirs -o "miss_1.h5" "https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/miss_1.h5"
echo "0398a442dd05059bca8b032a5bf7105e315fa7373f4c72f38d27c400f69a757d miss_1.h5" | sha256sum -c
curl -L --create-dirs -o "miss_2.h5" "https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/miss_2.h5"
echo "2a569dde7a0f93cc8eb92695691d33953e3e68a6c5d67053d0505051f42d890b miss_2.h5" | sha256sum -c
curl -L --create-dirs -o "miss_3.h5" "https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/miss_3.h5"
echo "732c2665e0bc52bb430a8cd73323034af6f912b4fa25e503c3500a4c7d65a4df miss_3.h5" | sha256sum -c
curl -L --create-dirs -o "miss_4.h5" "https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/miss_4.h5"
echo "ef9179ed13b1835ee51a4537ca327a7ec202aa6ab18ddc21d778a10d129459f8 miss_4.h5" | sha256sum -c
curl -L --create-dirs -o "splits.h5" "https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/splits.h5"
echo "afffd85152f6177ee1e052d53c8374a4c7226bf94be923a4f1406062fd4f8a8b splits.h5" | sha256sum -c
curl -L --create-dirs -o "ultrasound_1.h5" "https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/ultrasound_1.h5"
echo "7ca909346e8bb9476682fbc1b9640fa88ec3919cc00c90c7b1eef0eb5fafd2b9 ultrasound_1.h5" | sha256sum -c
curl -L --create-dirs -o "ultrasound_2.h5" "https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/ultrasound_2.h5"
echo "6fc21e20a320200bf02af2a78f4fbfa3774f0e4acb3d279105c0bcf83493d6f0 ultrasound_2.h5" | sha256sum -c
curl -L --create-dirs -o "ultrasound_3.h5" "https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/ultrasound_3.h5"
echo "1c8e698ef69c60eb7725b563a1f1e8430aa787bb446ef0411879b21a8f4e577d ultrasound_3.h5" | sha256sum -c
curl -L --create-dirs -o "ultrasound_4.h5" "https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/ultrasound_4.h5"
echo "1149d69aa4e5e3c1c3007924c551fa2fddea5bdfa77d0684c2e78b1868d05b50 ultrasound_4.h5" | sha256sum -c
curl -L --create-dirs -o "ultrasound_5_14.h5" "https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/ultrasound_5_14.h5"
echo "1db79ef99299e2d54d7add56a13d516a6f2a81e45314d2d351ce9ddc89826f0e ultrasound_5_14.h5" | sha256sum -c
curl -L --create-dirs -o "ultrasound_5_58.h5" "https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/ultrasound_5_58.h5"
echo "b3dcb641b2e609a8ac0c3742e0eab39db96bb5f1bfdfa9026a6ebb4c251f5d47 ultrasound_5_58.h5" | sha256sum -cCiting EgoExOR: An Egocentric–Exocentric Operating Room Dataset for Comprehensive Understanding of Surgical Activities
Mdexa, EgoExOR: An Egocentric–Exocentric Operating Room Dataset for Comprehensive Understanding of Surgical Activities, https://mdexa.com/datasets/egoexor/, verified 2026-11-14.
More citation details
The source gives no citation text; the line above cites this card.
Machine-readable
egoexor.jsonegoexor.mdcatalog.json
Change log 1
| 2026-11-14 | Added via the automated pipeline and passed all checks (gates, verbatim quotes, rule engine, two independent extractions). |
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