Datasets:

OussamaBenSlama
/

arabic-image2html

configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
dataset_info:
  features:
    - name: id
      dtype: string
    - name: image
      dtype: image
    - name: output
      dtype: string
  splits:
    - name: train
      num_bytes: 2440808481
      num_examples: 22435
    - name: validation
      num_bytes: 329337240
      num_examples: 2804
    - name: test
      num_bytes: 328649745
      num_examples: 2805
  download_size: 3127169673
  dataset_size: 3098795466

Arabic-Image2Html Dataset

A dataset of 28K image-HTML pairs for training OCR models to transform Arabic documents into structured and semantic HTML.

Dataset Description

This dataset was created to address the lack of available open-source Arabic OCR datasets with image-to-semantic HTML pairs. It contains diverse Arabic document images paired with clean, semantic HTML output.

Dataset Composition

The dataset consists of two main components:

1. Web-Scraped Wikipedia Content (~13K samples, 46%)

Extracted from Arabic Wikipedia articles
Post-processed HTML with only semantic tags preserved
Screenshots captured with real styling using Playwright
Cleaned structure with proper semantic elements (section, header, main, etc.)

2. Synthetically Generated Documents (~15K samples, 54%)

HTML documents rendered into images using CSS styling
Mimics various real-world document types:
- Historical manuscripts
- Newspaper articles
- Scientific papers
- Invoices
- Recipes
- And more (~13 formats total)
Diverse layouts, styles, noise levels, fonts, and text flows
Filled with plain Arabic text from open datasets
Multiple semantic tag combinations (footer, table, section, etc.)

Features

Total samples: 28,000 image-HTML pairs
Language: Arabic
Output format: Semantic HTML (clean tags without id, class attributes)
Document diversity: Multiple formats and layouts

Usage

Loading the Dataset

from datasets import load_dataset

dataset = load_dataset("OussamaBenSlama/arabic-image2html")

Limitations

Limited examples with diacritical marks (tashkeel), which may affect model performance on texts with extensive diacritics
Wikipedia samples share similar design patterns
Synthetic generation may not capture all real-world document variations

Related Resources

Model: Alef-OCR-Image2Html
Training Notebooks: Github Repository

Citation

@misc{arabic_image2html_2025,
  title={Arabic-Image2Html: A Dataset for Arabic OCR to Semantic HTML},
  author={Oussama Ben Slama},
  year={2025},
  howpublished={Hugging Face Datasets},
  url={https://huggingface.co/datasets/OussamaBenSlama/arabic-image2html}
}

License

Apache2.0

Acknowledgments

This work builds upon the excellent research by the NAMAA community and their state-of-the-art Qari-OCR model.