README.md

metadata

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

from datasets import load_dataset

dataset = load_dataset("arobin79/bangla-ocr-validation_data_printed")

sample = dataset["train"][0]
print(sample["text"])
sample["image"].show()