# EgoExOR: An Egocentric–Exocentric Operating Room Dataset for Comprehensive Understanding of Surgical Activities

License: permissive (Apache-2.0); Mdexa hosting: link-only. first-hand data-scope statement(s) allow commercial use and redistribution

- Commercial use: Yes · Derivatives: Yes · Redistribution: Yes · File on Mdexa: No
- License status: Permissive (Apache-2.0)
- Mdexa hosting: Link only — License permissive: first-hand data-scope statement(s) allow commercial use and redistribution. Link only.
- Last verified: 2026-11-14
- Card: https://mdexa.com/datasets/egoexor/

## Key facts

- Domain: Clinical medicine, Medical imaging
- Content type: Annotated corpora
- Size: — — 94 minutes (84,553 frames at 15 FPS)
- Language: English
- Modality: Text, Image, Audio, Video, Graph
- Publisher: ardamamur
- Year: —

## 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
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

first-hand data-scope statement(s) allow commercial use and redistribution

- **Hugging Face card metadata** — Apache-2.0: Statement found in snapshot s01 (readme) — "license: apache-2.0" — https://huggingface.co/datasets/ardamamur/EgoExOR (2026-11-12; Page opened)
- **README** — Apache-2.0: Statement found in snapshot s01 (readme) — "Released under the **Apache 2.0 License**, permitting free academic and commercial use with attribution." — https://huggingface.co/datasets/ardamamur/EgoExOR (2026-11-12; Page opened)
- **Dataset page** — Apache-2.0: Statement found in snapshot s02 (page) — "Released under the Apache 2.0 License , permitting free academic and commercial use with attribution." — https://huggingface.co/datasets/ardamamur/EgoExOR (2026-11-12; Page opened)

## Source and lineage

—

## 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 (data not ingested).

## Downloading EgoExOR: An Egocentric–Exocentric Operating Room Dataset for Comprehensive Understanding of Surgical Activities and API access

Mdexa does not serve files. Original source:
- https://huggingface.co/datasets/ardamamur/EgoExOR

### Access recipe

- .gitattributes · 3 KB · https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/.gitattributes
- README.md · 12 KB · https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/README.md
- croissant.json · 7 KB · https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/croissant.json
- metadata.yaml · 1 KB · https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/metadata.yaml
- miss_1.h5 · 23.1 GB · sha256 0398a442dd05059bca8b032a5bf7105e315fa7373f4c72f38d27c400f69a757d · https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/miss_1.h5
- miss_2.h5 · 10.9 GB · sha256 2a569dde7a0f93cc8eb92695691d33953e3e68a6c5d67053d0505051f42d890b · https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/miss_2.h5
- miss_3.h5 · 19.2 GB · sha256 732c2665e0bc52bb430a8cd73323034af6f912b4fa25e503c3500a4c7d65a4df · https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/miss_3.h5
- miss_4.h5 · 6.7 GB · sha256 ef9179ed13b1835ee51a4537ca327a7ec202aa6ab18ddc21d778a10d129459f8 · https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/miss_4.h5
- splits.h5 · 3.1 MB · sha256 afffd85152f6177ee1e052d53c8374a4c7226bf94be923a4f1406062fd4f8a8b · https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/splits.h5
- ultrasound_1.h5 · 1.7 GB · sha256 7ca909346e8bb9476682fbc1b9640fa88ec3919cc00c90c7b1eef0eb5fafd2b9 · https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/ultrasound_1.h5
- ultrasound_2.h5 · 15.1 GB · sha256 6fc21e20a320200bf02af2a78f4fbfa3774f0e4acb3d279105c0bcf83493d6f0 · https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/ultrasound_2.h5
- ultrasound_3.h5 · 25.4 GB · sha256 1c8e698ef69c60eb7725b563a1f1e8430aa787bb446ef0411879b21a8f4e577d · https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/ultrasound_3.h5
- ultrasound_4.h5 · 38.2 GB · sha256 1149d69aa4e5e3c1c3007924c551fa2fddea5bdfa77d0684c2e78b1868d05b50 · https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/ultrasound_4.h5
- ultrasound_5_14.h5 · 29.3 GB · sha256 1db79ef99299e2d54d7add56a13d516a6f2a81e45314d2d351ce9ddc89826f0e · https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/ultrasound_5_14.h5
- ultrasound_5_58.h5 · 25.4 GB · sha256 b3dcb641b2e609a8ac0c3742e0eab39db96bb5f1bfdfa9026a6ebb4c251f5d47 · https://huggingface.co/datasets/ardamamur/EgoExOR/resolve/dfa6db95b9b5fd67c2d30cb1b3402b07ccae3c8d/ultrasound_5_58.h5

```sh
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 -c
```

## Citing EgoExOR: An Egocentric–Exocentric Operating Room Dataset for Comprehensive Understanding of Surgical Activities

No recommended citation text.

## Machine-readable

- JSON: https://mdexa.com/datasets/egoexor.json
- 2026-11-14 Added via the automated pipeline and passed all checks (gates, verbatim quotes, rule engine, two independent extractions).

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