FairVLMed: Fair Vision-Language Medical Ophthalmic Dataset
10,000 scanning-laser ophthalmoscopy fundus images paired with de-identified clinical notes, visual-field measurements, glaucoma labels, and demographic attributes.
At a glance
| Field | Value |
|---|---|
| Short name | fairvlmed |
| Full name | FairVLMed: Fair Vision-Language Medical Ophthalmic Dataset |
| First published | Unknown |
| Publication date precision | Unknown |
| Publication date evidence | Unknown |
| Publication date source field | Unknown |
| Publication date reviewed | Unknown |
| Primary category | multimodal |
| Resource role | current_dataset |
| Dataset family | fairvlmed |
| Contained modalities | fundus, visual_field, text, tabular |
| Tasks | classification, report_generation, fairness_analysis |
| Primary reported quantity | 10,000 images |
| Classes | Not reported (Not reported) |
| Splits | train, val, test |
| Size | 10.0 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 | 10,000 | images | 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
The official dataset card reports 10,000 patients and 10,000 samples (7,000 train, 1,000 validation, 2,000 test). No source statement supporting cohort identity with the separate Harvard-FairVision record was found, so no catalog relationship is asserted.
Access information and download
- CLI
- Python
# Read-only preflight
eyehub download fairvlmed --data-dir ./data --dry-run --json
# Download, only when preflight reports supported behavior
eyehub download fairvlmed --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('fairvlmed')
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{fairvlmed,
title = { FairVLMed: Fair Vision-Language Medical Ophthalmic Dataset },
note = { Harvard AI Robotics, FairVLMed: Fair vision-language medical ophthalmic dataset. HuggingFace, 2024 },
year = { 2024 },
url = { https://huggingface.co/datasets/harvardairobotics/FairVLMed },
}
Harvard AI Robotics, FairVLMed: Fair vision-language medical ophthalmic dataset. HuggingFace, 2024.
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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