OcularChat-VQA: AREDS-Derived Patient-Physician Dialogue Dataset
844,000 simulated patient-physician dialogue rows generated from AREDS clinical visits. Enables ophthalmic dialogue and counseling VLM training.
At a glance
| Field | Value |
|---|---|
| Short name | ocular_chat_vqa |
| Full name | OcularChat-VQA: AREDS-Derived Patient-Physician Dialogue Dataset |
| Primary category | multimodal |
| Contained modalities | text, tabular |
| Tasks | classification |
| Samples | 844,000 |
| Classes | Not reported (Not reported) |
| Splits | train, val, test |
| Size | 8.0 GB |
| Source-stated terms | CC BY-NC-SA 4.0 |
| Normalized terms | cc-by-nc-sa |
| Descriptive screening label | Explicit noncommercial clause recorded; check source |
| Terms scope | dataset_files |
| Access friction | anonymous_direct |
| Route backend | HuggingFace Hub |
| Availability | available (checked 2026-07-21) |
| Acquisition support | standard_platform_supported |
| Legacy sample-loader status | Metadata and access only |
Notes
Images path may reference AREDS — access to underlying images requires separate NCBI/dbGaP approval. Verify before use.
Access preflight and acquisition
- CLI
- Python
# Read-only preflight
eyehub download ocular_chat_vqa --data-dir ./data --dry-run --json
# Explicit transfer, only when preflight reports supported behavior
eyehub download ocular_chat_vqa --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('ocular_chat_vqa')
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{ocular_chat_vqa,
title = { OcularChat-VQA: AREDS-Derived Patient-Physician Dialogue Dataset },
note = { OcularChat-VQA: AREDS-derived patient-physician dialogues. HuggingFace / NCBI, 2025 },
year = { 2025 },
url = { https://huggingface.co/datasets/ncbi/OcularChat-VQA },
}
OcularChat-VQA: AREDS-derived patient-physician dialogues. HuggingFace / NCBI, 2025.
Source-stated terms
- Raw source string: CC BY-NC-SA 4.0
- Normalized category:
cc-by-nc-sa - Apparent scope:
dataset_files - Descriptive screening label: Explicit noncommercial clause recorded; check source
⚠️ 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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