Add dataset README

README.md

@@ -1,26 +1,39 @@
----
-dataset_info:
-  features:
-  - name: image
-    dtype: image
-  - name: mask
-    dtype: image
-  - name: image_id
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 8192329.0
-    num_examples: 23
-  - name: test
-    num_bytes: 6339145.0
-    num_examples: 19
-  download_size: 14197500
-  dataset_size: 14531474.0
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
----
+
+# RAVIR Dataset
+
+RAVIR: A Dataset and Methodology for the Semantic Segmentation and Quantitative Analysis of Retinal Arteries and Veins in Infrared Reflectance Imaging.
+
+## Dataset Information
+- **Modality**: Infrared (815nm) Scanning Laser Ophthalmoscopy (SLO)
+- **Image Size**: 768×768 pixels
+- **Format**: PNG
+- **Camera**: Heidelberg Spectralis with 30° FOV
+- **Pixel Resolution**: 12.5 microns per pixel
+
+## Classes
+- 0: Background
+- 128: Arteries
+- 256: Veins (stored as 255 in uint8)
+
+## Splits
+- **Train**: 23 images with segmentation masks
+- **Test**: 19 images (masks withheld for challenge evaluation)
+
+## Citation
+```bibtex
+@article{hatamizadeh2022ravir,
+    title={RAVIR: A Dataset and Methodology for the Semantic Segmentation and Quantitative Analysis of Retinal Arteries and Veins in Infrared Reflectance Imaging},
+    author={Hatamizadeh, Ali and Hosseini, Hamid and Patel, Niraj and Choi, Jinseo and Pole, Cameron and Hoeferlin, Cory and Schwartz, Steven and Terzopoulos, Demetri},
+    journal={IEEE Journal of Biomedical and Health Informatics},
+    year={2022},
+    publisher={IEEE}
+}
+```
+
+## License
+CC BY-NC-SA 4.0 (Non-commercial use only)
+
+## Links
+- [Grand Challenge](https://ravir.grand-challenge.org/)
+- [Paper (arXiv)](https://arxiv.org/abs/2203.14928)
+- [Paper (IEEE)](https://ieeexplore.ieee.org/document/9744459)