Update README.md

README.md

@@ -38,7 +38,41 @@ The dataset simulates real-world book layouts to enhance OCR accuracy.
 
 ### Direct Use
 
-<!-- This section describes suitable use cases for the dataset. -->
+```
+from datasets import load_dataset
+import base64
+from io import BytesIO
+from PIL import Image
+# Load dataset with streaming enabled
+ds = load_dataset("xya22er/text_to_image", streaming=True)
+print(ds)
+
+
+
+
+# Load the dataset
+
+# Iterate over a specific font dataset (e.g., Amiri)
+for sample in ds["Amiri"]:
+    image_name = sample["image_name"]
+    chunk = sample["chunk"]  # Arabic text transcription
+    font_name = sample["font_name"]
+    
+    # Decode Base64 image
+    image_data = base64.b64decode(sample["image_base64"])
+    image = Image.open(BytesIO(image_data))
+
+    # Show the image (optional)
+    image.show()
+
+    # Print the details
+    print(f"Image Name: {image_name}")
+    print(f"Font Name: {font_name}")
+    print(f"Text Chunk: {chunk}")
+    
+    # Break after one sample for testing
+    break
+```
 
 [More Information Needed]