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README.md

@@ -1,40 +1,104 @@
 ---
 dataset_info:
   features:
-  - name: image
-    dtype: image
-  - name: mask
-    dtype: image
-  - name: sample_id
-    dtype: string
-  - name: subset
-    dtype: string
-  - name: labeled
-    dtype: bool
+    - name: image
+      dtype: image
+    - name: mask
+      dtype: image
+    - name: sample_id
+      dtype: string
+    - name: subset
+      dtype: string
+    - name: labeled
+      dtype: bool
   splits:
-  - name: a_pxi_labeled
-    num_bytes: 246471403
-    num_examples: 850
-  - name: a_pxi_unlabeled
-    num_bytes: 483347041
-    num_examples: 2650
-  - name: c_pxi_labeled
-    num_bytes: 14336768
-    num_examples: 50
-  - name: c_pxi_unlabeled
-    num_bytes: 94739370
-    num_examples: 450
-  download_size: 943551164
-  dataset_size: 838894582
+    - name: a_pxi_labeled
+      num_examples: 850
+    - name: a_pxi_unlabeled
+      num_examples: 2650
+    - name: c_pxi_labeled
+      num_examples: 50
+    - name: c_pxi_unlabeled
+      num_examples: 450
 configs:
-- config_name: default
-  data_files:
-  - split: a_pxi_labeled
-    path: data/a_pxi_labeled-*
-  - split: a_pxi_unlabeled
-    path: data/a_pxi_unlabeled-*
-  - split: c_pxi_labeled
-    path: data/c_pxi_labeled-*
-  - split: c_pxi_unlabeled
-    path: data/c_pxi_unlabeled-*
+  - config_name: default
+    data_files:
+      - split: a_pxi_labeled
+        path: data/a_pxi_labeled-*
+      - split: a_pxi_unlabeled
+        path: data/a_pxi_unlabeled-*
+      - split: c_pxi_labeled
+        path: data/c_pxi_labeled-*
+      - split: c_pxi_unlabeled
+        path: data/c_pxi_unlabeled-*
+license: cc-by-4.0
+task_categories:
+  - image-segmentation
+tags:
+  - medical-imaging
+  - dental
+  - panoramic-x-ray
+  - tooth-segmentation
+  - semi-supervised
+pretty_name: STS-2D-Tooth
+size_categories:
+  - 1K<n<10K
 ---
+
+# STS-2D-Tooth
+
+The 2D panoramic dental X-ray subset of the STS (Semi-supervised Teeth
+Segmentation) multi-modal dataset, as released in
+[Wang et al., *Scientific Data* **12**, 117 (2025)](https://doi.org/10.1038/s41597-024-04306-9)
+and used in the MICCAI 2023 STS Challenge.
+
+## Composition
+
+4,000 panoramic X-ray images (PNG, 640x320, 3-channel grayscale-as-RGB) split
+across two demographic subsets:
+
+| Subset                | Total | Labeled | Unlabeled |
+|-----------------------|------:|--------:|----------:|
+| A-PXI (adult)         | 3,500 |     850 |     2,650 |
+| C-PXI (child)         |   500 |      50 |       450 |
+| **Total**             | 4,000 |     900 |     3,100 |
+
+Masks are 1-bit binary tooth-region masks at the same resolution as the source
+image. Annotations were initialized manually on a 300-image seed by 20 trained
+dental practitioners, refined by an R2 U-Net assistant model, and quality-vetted
+by 6 dentists.
+
+## Splits
+
+- `a_pxi_labeled` (850) - adult panoramic X-rays with binary tooth masks
+- `a_pxi_unlabeled` (2,650) - adult panoramic X-rays, no masks
+- `c_pxi_labeled` (50) - paediatric panoramic X-rays with binary tooth masks
+- `c_pxi_unlabeled` (450) - paediatric panoramic X-rays, no masks
+
+For unlabeled splits the `mask` column is null.
+
+## Citation
+
+```bibtex
+@article{wang2025sts,
+  title   = {A multi-modal dental dataset for semi-supervised deep learning image segmentation},
+  author  = {Wang, Yaqi and others},
+  journal = {Scientific Data},
+  volume  = {12},
+  pages   = {117},
+  year    = {2025},
+  doi     = {10.1038/s41597-024-04306-9}
+}
+
+@article{wang2024stschallenge,
+  title   = {STS MICCAI 2023 Challenge: Grand challenge on 2D and 3D semi-supervised tooth segmentation},
+  author  = {Wang, Yaqi and others},
+  journal = {arXiv:2407.13246},
+  year    = {2024}
+}
+```
+
+## License
+
+CC-BY-4.0 (per the Zenodo release at
+[zenodo.org/records/10597292](https://zenodo.org/records/10597292)).