OphthalVQA Dataset
Ophthalmic visual question-answering benchmark dataset released as supplementary data for evaluating multimodal language models in ophthalmology.
At a glance
| Field | Value |
|---|---|
| Short name | ophthalvqa |
| Full name | OphthalVQA Dataset |
| Primary category | multimodal |
| Contained modalities | fundus, fundus_angiography, oct, ocular_ultrasound, external_eye, text |
| Tasks | visual_question_answering, classification |
| Samples | Not reported |
| Classes | Not reported (Not reported) |
| Splits | all |
| Size | 0.03 GB |
| Source-stated terms | CC BY 4.0 |
| Normalized terms | cc-by |
| 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 | standard_platform_supported |
| Legacy sample-loader status | Metadata and access only |
Notes
Supplementary benchmark for ophthalmic VQA and multimodal model evaluation; inspect image provenance and splits before leakage-sensitive validation.
Access preflight and acquisition
- CLI
- Python
# Read-only preflight
eyehub download ophthalvqa --data-dir ./data --dry-run --json
# Explicit transfer, only when preflight reports supported behavior
eyehub download ophthalvqa --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('ophthalvqa')
print(preflight_dataset(ds, './data')) # no transfer
Upstream page: https://doi.org/10.6084/m9.figshare.25624917
Source-term evidence: https://doi.org/10.6084/m9.figshare.25624917
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{ophthalvqa,
title = { OphthalVQA Dataset },
note = { Xu P, Chen X, Zhao Z, Shi D. OphthalVQA Dataset. Figshare, 2025. doi:10.6084/m9.figshare.25624917 },
year = { 2025 },
url = { https://doi.org/10.6084/m9.figshare.25624917 },
}
Xu P, Chen X, Zhao Z, Shi D. OphthalVQA Dataset. Figshare, 2025. doi:10.6084/m9.figshare.25624917
Source-stated terms
- Raw source string: CC BY 4.0
- Normalized category:
cc-by - 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.
Related datasets with shared modalities
- eyecare_100k: Eyecare-100K: Multimodal Ophthalmology VQA Corpus (102,000 records,
unknown) - x_pcr: X-PCR Ophthalmology Progressive Clinical Reasoning Benchmark (18,700 records,
unknown) - lmod_plus: LMOD+ Multimodal Ophthalmology Benchmark (32,633 records,
unknown) - mm_retinal_reason: MM-Retinal-Reason: Ophthalmology Multimodal Reasoning Dataset (count not reported records,
unknown) - angioreport: AngioReport Fundus Angiography Report Dataset (55,361 records,
unknown) - ffa_ir: FFA-IR Medical Report Dataset (47,247 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)