FairVLMed: Fair Vision-Language Medical Ophthalmic Dataset
Ophthalmic clinical text + NPZ records covering glaucoma, cataract, and neuro-ophthalmology with paired age, sex, race/ethnicity, and language attributes. Derived from the same Harvard clinical population as Harvard-FairVision.
At a glance
| Field | Value |
|---|---|
| Short name | fairvlmed |
| Full name | FairVLMed: Fair Vision-Language Medical Ophthalmic Dataset |
| Primary category | multimodal |
| Contained modalities | fundus, visual_field, text, tabular |
| Tasks | classification |
| Samples | Not reported |
| Classes | Not reported (Not reported) |
| Splits | train, val, test |
| Size | 10.0 GB |
| Source-stated terms | See Harvard AI Robotics terms |
| Normalized terms | unknown |
| Descriptive screening label | Unknown or unclear; do not assume permission |
| Terms scope | unknown |
| Access friction | anonymous_direct |
| Route backend | HuggingFace Hub |
| Availability | available (checked 2026-07-21) |
| Acquisition support | standard_platform_supported |
| Legacy sample-loader status | Metadata and access only |
Notes
OVERLAP: Derived from the same Harvard clinical cohort as
harvard_fairvision(already indexed). Kept for VLM/text researchers who specifically need the text+NPZ view.
Access preflight and acquisition
- CLI
- Python
# Read-only preflight
eyehub download fairvlmed --data-dir ./data --dry-run --json
# Explicit transfer, 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 transfer
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: See Harvard AI Robotics terms
- Normalized category:
unknown - Apparent scope:
unknown - Descriptive screening label: Unknown or unclear; do not assume permission
⚠️ 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.
Related datasets with shared modalities
- lmod_plus: LMOD+ Multimodal Ophthalmology Benchmark (32,633 records,
unknown) - grape: GRAPE: Glaucoma Real-world Appraisal Progression Ensemble (1,115 records,
cc0) - ocular_chat_vqa: OcularChat-VQA: AREDS-Derived Patient-Physician Dialogue Dataset (844,000 records,
cc-by-nc-sa) - eyecare_100k: Eyecare-100K: Multimodal Ophthalmology VQA Corpus (102,000 records,
unknown) - angioreport: AngioReport Fundus Angiography Report Dataset (55,361 records,
unknown) - ffa_ir: FFA-IR Medical Report Dataset (47,247 records,
unknown) - x_pcr: X-PCR Ophthalmology Progressive Clinical Reasoning Benchmark (18,700 records,
unknown) - deepeyenet: DeepEyeNet (DEN): Fundus Report Generation Dataset (15,709 records,
research-only)