MM-Retinal-Reason: Ophthalmology Multimodal Reasoning Dataset
Ophthalmology-specific multimodal reasoning dataset built from 45 public datasets. Chain-of-thought reasoning traces for retinal VQA.
At a glance
| Field | Value |
|---|---|
| Short name | mm_retinal_reason |
| Full name | MM-Retinal-Reason: Ophthalmology Multimodal Reasoning Dataset |
| Primary category | multimodal |
| Contained modalities | fundus, fundus_angiography, oct, text |
| Tasks | classification, multilabel |
| Samples | Not reported |
| Classes | Not reported (Not reported) |
| Splits | train, val, test |
| Size | 15.0 GB |
| Source-stated terms | Mixed (inherits from 45 source datasets) — verify per-row |
| Normalized terms | unknown |
| Descriptive screening label | Unknown or unclear; do not assume permission |
| Terms scope | mixed_components |
| Access friction | anonymous_direct |
| Route backend | HuggingFace Hub |
| Availability | available (checked 2026-07-21) |
| Acquisition support | transfer_tested_partial |
| Legacy sample-loader status | Metadata and access only |
Notes
Aggregates 45 source datasets — image licenses inherit; verify per-row before commercial use.
Access preflight and acquisition
- CLI
- Python
# Read-only preflight
eyehub download mm_retinal_reason --data-dir ./data --dry-run --json
# Explicit transfer, only when preflight reports supported behavior
eyehub download mm_retinal_reason --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('mm_retinal_reason')
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{mm_retinal_reason,
title = { MM-Retinal-Reason: Ophthalmology Multimodal Reasoning Dataset },
note = { MM-Retinal-Reason: Ophthalmology multimodal reasoning dataset. HuggingFace, 2025 },
year = { 2025 },
url = { https://huggingface.co/datasets/lxirich/MM-Retinal-Reason },
}
MM-Retinal-Reason: Ophthalmology multimodal reasoning dataset. HuggingFace, 2025.
Source-stated terms
- Raw source string: Mixed (inherits from 45 source datasets) — verify per-row
- 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.
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) - ophthalvqa: OphthalVQA Dataset (count not reported records,
cc-by) - angioreport: AngioReport Fundus Angiography Report Dataset (55,361 records,
unknown) - ffa_ir: FFA-IR Medical Report Dataset (47,247 records,
unknown) - lmod_plus: LMOD+ Multimodal Ophthalmology Benchmark (32,633 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)