Diabetic Macular Edema Visual Question Answering Dataset
Fundus-image VQA dataset for diabetic macular edema derived from IDRiD and e-ophtha.
At a glance
| Field | Value |
|---|---|
| Short name | dme_vqa |
| Full name | Diabetic Macular Edema Visual Question Answering Dataset |
| Publication date | 2022-06-27 |
| Date basis | Initial dataset release |
| Publication date precision | day |
| Publication date evidence | zenodo.org/api |
| Publication date source field | metadata.publication_date (earliest repository version) |
| Publication date reviewed | 2026-09-11 |
| Date notes | Derivative VQA annotation layer; Zenodo API record is the only listed version and its publication field is used. |
| Primary category | multimodal |
| Resource role | annotation_layer |
| Dataset family | dme_vqa |
| Contained modalities | fundus, text |
| Tasks | visual_question_answering, classification |
| Primary reported quantity | 13,470 question answer pairs |
| Classes | Not reported (Not reported) |
| Splits | all |
| Size | 0.1 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 | self_service_authenticated |
| Route backend | Zenodo |
| 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 | 13,470 | question_answer_pairs | Train, validation, and test QA pairs | derived_from_reported_components | zenodo.org/records |
| Additional | 679 | images | Train, validation, and test images | derived_from_reported_components | zenodo.org/records |
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
Derivative VQA layer built from existing fundus datasets.
Documented relationships
These links record source-supported lineage or overlap, not merely similar modality tags.
- dme_vqa_logical is
extension ofthis record: This release adds logical-relation annotations to the earlier DME VQA resource. (evidence) - This record is
derived frome_ophtha: The DME VQA deposit identifies e-ophtha images as source material. (evidence) - This record is
derived fromidrid: The DME VQA deposit identifies IDRiD images as source material. (evidence)
Access information and download
- CLI
- Python
# Read-only preflight
eyehub download dme_vqa --data-dir ./data --dry-run --json
# Download, only when preflight reports supported behavior
eyehub download dme_vqa --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('dme_vqa')
print(preflight_dataset(ds, './data')) # no download
Upstream page: zenodo.org/records
Source-term evidence: zenodo.org/records
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{dme_vqa,
title = { Diabetic Macular Edema Visual Question Answering Dataset },
note = { Diabetic Macular Edema Visual Question Answering Dataset. Zenodo, 2022. doi:10.5281/zenodo.6784358 },
year = { 2022 },
url = { https://zenodo.org/records/6784358 },
}
Diabetic Macular Edema Visual Question Answering Dataset. Zenodo, 2022. doi:10.5281/zenodo.6784358
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.
Similar resources by shared modality
- eyecare_100k: Eyecare-100K: Multimodal Ophthalmology VQA Corpus (102,000 question answer pairs,
unknown) - angioreport: AngioReport Fundus Angiography Report Dataset (55,361 images,
unknown) - ffa_ir: FFA-IR Medical Report Dataset (47,247 images,
unknown) - lmod_plus: LMOD+ Multimodal Ophthalmology Benchmark (32,633 annotated instances,
unknown) - x_pcr: X-PCR Ophthalmology Progressive Clinical Reasoning Benchmark (18,735 rows,
unknown) - deepeyenet: DeepEyeNet (DEN): Fundus Report Generation Dataset (15,709 images,
research-only) - dme_vqa_logical: DME VQA Dataset with Logical Relations (13,470 question answer pairs,
cc-by) - fairvlmed: FairVLMed: Fair Vision-Language Medical Ophthalmic Dataset (10,000 images,
cc-by-nc-nd)