Add dataset card

README.md

@@ -17,50 +17,36 @@ task_categories:
 - image-classification
 - image-feature-extraction
 task_ids: []
-pretty_name: 'SAQR: A Paired Printed–Handwritten Arabic Line Dataset'
+pretty_name: "SAQR: A Paired Printed–Handwritten Arabic Line Dataset"
 dataset_info:
   features:
-  - name: pair_id
-    dtype: int64
-  - name: gt_image
-    dtype: image
-  - name: hw_image
-    dtype: image
-  - name: text
-    dtype: string
-  - name: category
-    dtype:
-      class_label:
-        names:
-          '0': boys
-          '1': girls
-  - name: split
-    dtype: string
-  - name: student_id
-    dtype: string
-  - name: form_creator
-    dtype: string
+    - name: pair_id
+      dtype: int64
+    - name: gt_image
+      dtype: image
+    - name: hw_image
+      dtype: image
+    - name: text
+      dtype: string
+    - name: category
+      dtype:
+        class_label:
+          names:
+            '0': boys
+            '1': girls
+    - name: split
+      dtype: string
+    - name: student_id
+      dtype: string
+    - name: form_creator
+      dtype: string
   splits:
-  - name: train
-    num_bytes: 200446807
-    num_examples: 1575
-  - name: validation
-    num_bytes: 42656404
-    num_examples: 335
-  - name: test
-    num_bytes: 44373506
-    num_examples: 353
-  download_size: 287249737
-  dataset_size: 287476717
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
+    - name: train
+      num_examples: 1575
+    - name: validation
+      num_examples: 335
+    - name: test
+      num_examples: 353
 ---
 
 # SAQR: A Paired Printed–Handwritten Arabic Line Dataset for Handwriting Recognition and Cross-Modal Retrieval
@@ -89,6 +75,12 @@ SAQR is a large-scale paired **Printed Ground Truth – Handwritten (GT-HW)** Ar
 | **Language** | Arabic (Modern Standard Arabic / formal prose) |
 | **License** | CC-BY 4.0 |
 
+## Dataset Preview
+
+Sample GT–HW line pairs from SAQR, showing the range of handwriting styles across the writer population (printed ground truth on top, student handwriting below):
+
+![Sample GT-HW pairs](sample_pairs.png)
+
 ## Supported Tasks
 
 | Task | Description |