Add dataset card

README.md

@@ -1,46 +1,19 @@
 ---
 license: cc-by-4.0
 task_categories:
-- image-segmentation
+  - image-segmentation
 language:
-- en
+  - en
 tags:
-- medical
-- polyp
-- colonoscopy
-- segmentation
-- kvasir
-- augmented
+  - medical
+  - polyp
+  - colonoscopy
+  - segmentation
+  - kvasir
+  - augmented
 pretty_name: Kvasir-SEG Augmented
 size_categories:
-- 1K<n<10K
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
-dataset_info:
-  features:
-  - name: image
-    dtype: image
-  - name: mask
-    dtype: image
-  splits:
-  - name: train
-    num_bytes: 417538224
-    num_examples: 4800
-  - name: validation
-    num_bytes: 31760457
-    num_examples: 100
-  - name: test
-    num_bytes: 32934352
-    num_examples: 100
-  download_size: 482347282
-  dataset_size: 482233033
+  - 1K<n<10K
 ---
 
 # Kvasir-SEG Augmented
@@ -57,15 +30,16 @@ fixed validation and test partitions for reproducible benchmarking.
 
 ### Splits & Sizes
 
-| Split      | Images | Notes |
-|------------|-------:|-------|
-| `train`    |  5,368 | Original 894 images × 1 + 5 augmented versions each (256 × 256) |
-| `validation`|   53  | Original validation images (50 % of original val), 256 × 256 |
-| `test`     |    53  | Fixed test partition (50 % of original val), 256 × 256 |
+| Split        | Images | Notes |
+|--------------|-------:|-------|
+| `train`      |  4,800 | Original 800 images × 6 (1 original + 5 augmented copies), 256 × 256 |
+| `validation` |    100 | Original validation split from Kvasir-SEG, 256 × 256 |
+| `test`       |    100 | Original test split from Kvasir-SEG, 256 × 256 |
 
 ### Augmentation Strategy (training split only)
 
-Each original training image produces one resized copy (256 × 256) plus **five augmented variants**:
+The original Kvasir-SEG provides pre-defined train/validation/test splits (800/100/100).
+Each original **training** image produces one resized copy (256 × 256) plus **five augmented variants**:
 
 - Random horizontal flip (p = 0.5)
 - Random vertical flip (p = 0.5)