---
dataset_info:
  features:
  - name: filename
    dtype: string
  - name: text
    dtype: string
  - name: image
    dtype: image
  splits:
  - name: train
    num_bytes: 34202523
    num_examples: 156
  download_size: 32455168
  dataset_size: 34202523
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc-by-4.0
language:
- en
tags:
- finetuning
- VLM
- OCR
- Text
- TextExtraction
size_categories:
- n<1K
task_categories:
- image-to-text
---

## Best Usage
- Suitable for fine-tuning Vision-Language Models (e.g., **PaliGemma**).

### Dataset Creation  
This dataset was generated using [Mistral OCR](https://mistral.ai/news/mistral-ocr) and **Google Lens**, followed by **manual cleaning** for improved accuracy.  

### Image Source  
Images are sourced from [Sarvam.ai](https://www.sarvam.ai/).  

## Please cite it as:
```
@dataset{Aman_MLap_BookScanOCR_2025,
  title        = {Book-Scan-OCR},
  author       = {Aman Prakash},
  year         = {2025},
  publisher    = {Hugging Face},
  url          = {https://huggingface.co/datasets/MLap/Book-Scan-OCR}
}
```