Cataract-LMM: Large-Scale Multi-Source Multi-Task Cataract Surgery Benchmark
3,000 cataract surgery procedures, 1,134.2 hours of video with phase annotations, instance segmentation, tracking, and skill scoring. Largest public cataract-surgery-video resource.
At a glance
| Field | Value |
|---|---|
| Short name | cataract_lmm |
| Full name | Cataract-LMM: Large-Scale Multi-Source Multi-Task Cataract Surgery Benchmark |
| First published | 2026 |
| Publication date precision | year |
| Publication date evidence | api.datacite.org/dois |
| Publication date source field | data.attributes.publicationYear |
| Publication date reviewed | 2026-09-11 |
| Primary category | surgical_video |
| Resource role | current_dataset |
| Dataset family | cataract_lmm |
| Contained modalities | surgical_video |
| Tasks | classification, segmentation, multilabel |
| Primary reported quantity | 3,000 videos |
| Classes | Not reported (Not reported) |
| Splits | train, val, test |
| Size | 200.0 GB |
| Source-stated terms | CC BY-NC-ND 4.0 |
| Normalized terms | cc-by-nc-nd |
| Descriptive screening label | Explicit noncommercial clause recorded; check source |
| Terms scope | dataset_files |
| Access friction | self_service_authenticated |
| Route backend | HuggingFace Hub |
| Availability | available (checked 2026-07-21) |
| Acquisition support | standard_platform_supported |
| Legacy sample-loader status | Metadata and access only |
Reported quantities
| Role | Count | Unit | Scope | Basis | Evidence |
|---|---|---|---|---|---|
| Primary | 3,000 | videos | Primary quantity reported in the reviewed catalog source | legacy_catalog_field | huggingface.co/datasets |
Counts retain their source-reported units. Additional rows can describe components, paired items, or derivative copies and are not automatically added to the primary quantity.
Notes
Largest public cataract-surgery-video resource by hours. CC BY-NC-ND 4.0 — non-commercial + no derivatives on HF.
Access information and download
- CLI
- Python
# Read-only preflight
eyehub download cataract_lmm --data-dir ./data --dry-run --json
# Download, only when preflight reports supported behavior
eyehub download cataract_lmm --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('cataract_lmm')
print(preflight_dataset(ds, './data')) # no download
Upstream page: huggingface.co/datasets
Source-term evidence: huggingface.co/datasets
Loader status
This catalog record provides metadata and access instructions, but it does not yet include a standard DatasetSample loader. Inspect the source file structure or contribute a loader before using it in a training pipeline.
Citation
- BibTeX
- Plain text
@misc{cataract_lmm,
title = { Cataract-LMM: Large-Scale Multi-Source Multi-Task Cataract Surgery Benchmark },
note = { Ahmadi MJ, Gandomi I, Abdi P, et al., 'Cataract-LMM: Large-scale multi-source multi-task benchmark for deep learning in surgical video analysis', Scientific Data 2026. doi:10.1038/s41597-026-07464-0 },
year = { 2026 },
url = { https://huggingface.co/datasets/mjahmadi/Cataract-LMM },
}
Ahmadi MJ, Gandomi I, Abdi P, et al., 'Cataract-LMM: Large-scale multi-source multi-task benchmark for deep learning in surgical video analysis', Scientific Data 2026. doi:10.1038/s41597-026-07464-0
Source-stated terms
- Raw source string: CC BY-NC-ND 4.0
- Normalized category:
cc-by-nc-nd - Apparent scope:
dataset_files - Descriptive screening label: Explicit noncommercial clause recorded; check source
⚠️ Source-stated terms, scope, and normalized labels are curation metadata, not legal advice or a permission finding. Review the current official source before transfer or reuse.
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