FFA-IR Medical Report Dataset
Fundus fluorescein angiography images paired with Chinese and translated English reports for report-generation research.
At a glance
| Field | Value |
|---|---|
| Short name | ffa_ir |
| Full name | FFA-IR Medical Report Dataset |
| Primary category | multimodal |
| Contained modalities | fundus, fundus_angiography, text |
| Tasks | report_generation, text_generation |
| Samples | 47,247 |
| Classes | Not reported (Not reported) |
| Splits | all |
| Size | Not reported |
| Source-stated terms | PhysioNet credentialed access terms |
| Normalized terms | unknown |
| Descriptive screening label | Unknown or unclear; do not assume permission |
| Terms scope | unknown |
| Access friction | controlled_or_manual |
| Route backend | PhysioNet |
| Availability | available (checked 2026-07-21) |
| Acquisition support | manual_access_blocked |
| Legacy sample-loader status | Metadata and access only |
Access preflight and acquisition
- CLI
- Python
# This route requires upstream human action; no transfer starts.
eyehub download ffa_ir --data-dir ./data --dry-run --json
# Follow the official instructions shown by preflight.
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('ffa_ir')
print(preflight_dataset(ds, './data')) # returns manual_access_blocked
Upstream page: https://doi.org/10.13026/k5rp-9h43
Source-term evidence: https://doi.org/10.13026/k5rp-9h43
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{ffa_ir,
title = { FFA-IR Medical Report Dataset },
note = { FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark. PhysioNet, 2021 },
year = { 2021 },
url = { https://doi.org/10.13026/k5rp-9h43 },
}
FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark. PhysioNet, 2021.
Source-stated terms
- Raw source string: PhysioNet credentialed access 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
- eyecare_100k: Eyecare-100K: Multimodal Ophthalmology VQA Corpus (102,000 records,
unknown) - angioreport: AngioReport Fundus Angiography Report Dataset (55,361 records,
unknown) - x_pcr: X-PCR Ophthalmology Progressive Clinical Reasoning Benchmark (18,700 records,
unknown) - mm_retinal_reason: MM-Retinal-Reason: Ophthalmology Multimodal Reasoning Dataset (count not reported records,
unknown) - ophthalvqa: OphthalVQA Dataset (count not reported records,
cc-by) - lmod_plus: LMOD+ Multimodal Ophthalmology Benchmark (32,633 records,
unknown) - deepeyenet: DeepEyeNet (DEN): Fundus Report Generation Dataset (15,709 records,
research-only) - fundus_report_dataset: Fundus Report Dataset (422 records,
cc-by)