GRAPE: Glaucoma Real-world Appraisal Progression Ensemble

263 eyes × 1,115 visits. Multi-modal: VF (HFA 24-2), fundus photographs, OCT RNFL, IOP, CCT. Labels: VF progression, OD segmentation, glaucoma stage.

At a glance

Field	Value
Short name	grape
Full name	GRAPE: Glaucoma Real-world Appraisal Progression Ensemble
Primary category	multimodal
Contained modalities	fundus, oct, visual_field, tabular
Tasks	regression, segmentation, classification
Samples	1,115
Classes	2 (Stable, Progressing)
Splits	all
Size	1.5 GB
Source-stated terms	CC0 1.0
Normalized terms	cc0
Descriptive screening label	Standard label without an explicit NC clause; not a permission finding
Terms scope	dataset_files
Access friction	anonymous_direct
Route backend	Figshare
Availability	available (checked 2026-07-21)
Acquisition support	transfer_tested_partial
Legacy sample-loader status	Standard loader included

Notes

Multi-modal: contains fundus images, VF data, OCT measurements, and clinical metadata. Requires manual download from Figshare.

Access preflight and acquisition

CLI

# Read-only preflight
eyehub download grape --data-dir ./data --dry-run --json

# Explicit transfer, only when preflight reports supported behavior
eyehub download grape --data-dir ./data

Python

from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY

ds = REGISTRY.get_dataset('grape')
print(preflight_dataset(ds, './data'))  # no transfer

Upstream page: https://doi.org/10.6084/m9.figshare.c.6406319

Source-term evidence: https://doi.org/10.6084/m9.figshare.c.6406319

Loader example

This entry includes a standard DatasetSample loader.

from pathlib import Path
from eyedatahub.datasets.registry import REGISTRY

data_dir = Path('~/.eyedatahub/data').expanduser()
ds = REGISTRY.get_dataset('grape')
samples = ds.load(data_dir, split='all')
for s in samples[:5]:
    print(s.sample_id, s.label, s.image_path)

Citation

BibTeX

@misc{grape,
  title  = { GRAPE: Glaucoma Real-world Appraisal Progression Ensemble },
  note   = { Wen et al., 'GRAPE: A multi-modal dataset for glaucoma progression ',Figshare collection 2022 },
  year   = { 2022 },
  url    = { https://doi.org/10.6084/m9.figshare.c.6406319 },
}

Plain text

Wen et al., 'GRAPE: A multi-modal dataset for glaucoma progression ',Figshare collection 2022.

Source-stated terms

• Raw source string: CC0 1.0
• Normalized category: cc0
• Apparent scope: dataset_files
• Descriptive screening label: Standard label without an explicit NC clause; not a permission finding

⚠️ 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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• harvard_gdp: Harvard GDP: Glaucoma Detection and Progression Dataset (1,000 records, cc-by-nc-nd)
• fairvlmed: FairVLMed: Fair Vision-Language Medical Ophthalmic Dataset (count not reported records, unknown)
• eyecare_100k: Eyecare-100K: Multimodal Ophthalmology VQA Corpus (102,000 records, unknown)
• multieye: MultiEYE: OCT-Enhanced Fundus Multi-Disease Benchmark (58,036 records, mit)
• harvard_fairvision: Harvard-FairVision (AMD + DR + Glaucoma, paired SLO + OCT) (30,000 records, cc-by-nc-nd)
• mmrdr: MMRDR: Multi-Modal Retinal Diabetic Retinopathy Dataset (24,460 records, cc-by)