Eyecare-100K: Multimodal Ophthalmology VQA Corpus
~102K VQA pairs derived from 58,485 images across 8 ophthalmic modalities (fluorescein angiography, ICGA, OCT, CFP, ultrasound biomicroscopy, slit-lamp, fundus auto-fluorescence, CT) covering 100+ diseases.
At a glance
| Field | Value |
|---|---|
| Short name | eyecare_100k |
| Full name | Eyecare-100K: Multimodal Ophthalmology VQA Corpus |
| 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 | eyecare_100k |
| Contained modalities | fundus, fundus_angiography, fundus_autofluorescence, oct, ocular_ultrasound, external_eye, ct, text |
| Tasks | classification |
| Primary reported quantity | 102,000 question answer pairs |
| Classes | Not reported (Not reported) |
| Splits | train, val, test |
| Size | 30.0 GB |
| Source-stated terms | Mixed (inherits source-dataset licenses) — needs per-row check |
| Normalized terms | unknown |
| Descriptive screening label | Unknown or unclear; do not assume permission |
| Terms scope | mixed_components |
| 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 | 102,000 | question_answer_pairs | Source-described VQA corpus The dataset was described as pending release at the catalog cutoff. | official_source_description | github.com/DCDmllm |
| Additional | 58,485 | images | Source images represented by the VQA corpus | official_source_description | github.com/DCDmllm |
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
Status: PENDING RELEASE. Largest open ophthalmology VQA corpus when published. EyecareGPT models are out (LLSuzy/* on HF) but the VQA dataset itself is not yet public as of 2026-06.
Access information and download
- CLI
- Python
# Read-only preflight
eyehub download eyecare_100k --data-dir ./data --dry-run --json
# Download, only when preflight reports supported behavior
eyehub download eyecare_100k --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('eyecare_100k')
print(preflight_dataset(ds, './data')) # no download
Upstream page: github.com/DCDmllm
Source-term evidence: github.com/DCDmllm
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{eyecare_100k,
title = { Eyecare-100K: Multimodal Ophthalmology VQA Corpus },
note = { EyecareGPT: arXiv 2504.13650; ACM MM 2025. github.com/DCDmllm/EyecareGPT },
year = { 2025 },
url = { https://github.com/DCDmllm/EyecareGPT },
}
EyecareGPT: arXiv 2504.13650; ACM MM 2025. github.com/DCDmllm/EyecareGPT
Source-stated terms
- Raw source string: Mixed (inherits source-dataset licenses) — needs per-row check
- Normalized category:
unknown - Apparent scope:
mixed_components - 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.
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