---
license: cc-by-4.0
task_categories:
  - image-to-text
language:
  - en
tags:
  - medical
  - ophthalmology
  - fundus
  - retina
  - report-generation
---

# Fundus Report Dataset

A curated benchmark dataset of **ultra-widefield fundus photographs** paired with ground-truth clinical reports, assembled from two public ophthalmology datasets.

Each sample consists of a fundus image filename, a structured keyword label, and a free-text clinical report written by domain experts. The dataset is intended for evaluating medical vision-language models on fundus report generation tasks.

| Split | Count |
|-------|------:|
| DeepDRiD | 203 |
| OUWFD | 219 |
| **Total** | **422** |

---

## Column Descriptions

| Column | Type | Description |
|--------|------|-------------|
| `filename` | string | Image filename (e.g. `DeepDRiD_4_r1.jpg`) |
| `relative_path` | string | Relative path to the image from the dataset root (e.g. `images/DeepDRiD/DeepDRiD_4_r1.jpg`) |
| `label` | string | Structured keyword-style ground-truth label written by a clinician (e.g. `Mild NPDR, dot hemorrhage, hard exudate`) |
| `source` | string | Origin dataset — either `DeepDRiD` or `OUWFD` |
| `keywords` | string | Key clinical findings extracted from the label (same content as `label`, kept for compatibility) |
| `report` | string | Free-text ground-truth clinical report describing the fundus image findings |

---

## Source Data

Original images are **not redistributed**. Download from the official sources below and follow their licenses.

### DeepDRiD
- **Source:** [`github.com/deepdrdoc/DeepDRiD`](https://github.com/deepdrdoc/DeepDRiD) (CC-BY-SA-4.0)
- **Download:** `git clone https://github.com/deepdrdoc/DeepDRiD.git`
- **Cite:** Liu, R. et al. *DeepDRiD: Diabetic Retinopathy—Grading and Image Quality Estimation Challenge.* Patterns 3, 100512 (2022).

### OUWFD
- **Source:** [Figshare](https://doi.org/10.1038/s41597-024-04113-2) (~8.4 GB)
- **Download:** Open the Figshare page and click **Download**.
- **Cite:** He, S. et al. *Open ultrawidefield fundus image dataset with disease diagnosis and clinical image quality assessment.* Sci Data 11, 1251 (2024).