Update README.md

README.md

@@ -1,21 +1,52 @@
 ---
-dataset_info:
-  features:
-  - name: image
-    dtype: image
-  - name: text
-    dtype: string
-  - name: type
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 34006173
-    num_examples: 1555
-  download_size: 33800486
-  dataset_size: 34006173
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+language:
+- bn
+task_categories:
+- image-to-text
+tags:
+- ocr
+- bangla
+- document-understanding
+- vision-language
 ---
+
+
+# Bangla OCR Validation Dataset (Printed + Scanned)
+
+## 📌 Description
+
+This dataset is a Bangla OCR validation dataset containing a mix of printed document images and their corresponding text annotations. It is designed to evaluate OCR and vision-language models on both clean digital text and scanned document images.
+
+## 📊 Dataset Composition
+
+- 1507 **line-level images** with text annotations  
+- 50 **full-page document images** with text  
+- Data includes:
+  - Printed/typed Bangla text (clean)
+  - Scanned document images (noisy, real-world)
+
+## 🧾 Features
+
+Each sample contains:
+
+- `image`: Input image (line or page)
+- `text`: Ground-truth Bangla transcription
+- `type`: Indicates data type (`line` or `page`)
+
+## 🎯 Use Cases
+
+- Bangla OCR evaluation
+- Document understanding
+- Vision-language model validation
+- Robustness testing (clean vs scanned)
+
+## 🚀 Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("arobin79/bangla-ocr-validation_data_printed")
+
+sample = dataset["train"][0]
+print(sample["text"])
+sample["image"].show()