---
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()