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README.md

@@ -1,19 +1,60 @@
 ---
-dataset_info:
-  features:
-  - name: image
-    dtype: image
-  - name: mask
-    dtype: image
-  splits:
-  - name: test
-    num_bytes: 33860262
-    num_examples: 92
-  download_size: 33869619
-  dataset_size: 33860262
+license: cc-by-nc-4.0
+pretty_name: DAVIS-S
+task_categories:
+  - image-segmentation
+tags:
+  - saliency
+  - salient-object-detection
+  - segmentation
+  - high-resolution
+size_categories:
+  - n<1K
 configs:
-- config_name: default
-  data_files:
-  - split: test
-    path: data/test-*
+  - config_name: default
+    data_files:
+      - split: test
+        path: data/test-*
 ---
+
+# DAVIS-S
+
+DAVIS-S is a high-resolution salient object detection (SOD) evaluation set,
+released alongside the **HRSOD** (High-Resolution Salient Object Detection)
+paper. It is a saliency-annotated subset of the **DAVIS** video object
+segmentation dataset, curated to benchmark high-resolution salient object
+detection methods. Images are full-HD (1920x1080) with pixel-accurate
+binary ground-truth saliency masks.
+
+## Dataset structure
+
+- **Split:** `test` (single evaluation set), 92 image/mask pairs.
+- **Columns:**
+  - `image`: the RGB source image (`datasets.Image`).
+  - `mask`: the grayscale ground-truth saliency mask (`datasets.Image`).
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("nobg/DAVIS-S", split="test")
+ex = ds[0]
+ex["image"]  # PIL.Image, RGB, 1920x1080
+ex["mask"]   # PIL.Image, L (grayscale) saliency mask
+```
+
+## Source & credits
+
+- **DAVIS dataset** — the underlying images originate from the DAVIS
+  (Densely Annotated VIdeo Segmentation) benchmark.
+- **HRSOD authors** — the high-resolution saliency subset and ground-truth
+  masks were released as part of the HRSOD project
+  ([yi94code/HRSOD](https://github.com/yi94code/HRSOD)).
+
+Please cite the DAVIS and HRSOD works if you use this dataset.
+
+## License
+
+Released under **CC BY-NC 4.0** (non-commercial research use), consistent
+with the DAVIS dataset licensing.