metadata
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
Arabic-Image2Html Dataset
A dataset of 28K image-HTML pairs for training OCR models to transform Arabic documents into structured HTML.
Dataset Description
This dataset contains Arabic document images paired with semantic HTML output. It includes diverse document types and layouts for training image-to-HTML models.
Usage
from datasets import load_dataset
dataset = load_dataset("abdouuu/arabic-image2html")
Dataset Stats
- Total samples: 28,044
- Train: 22,435 examples
- Validation: 2,804 examples
- Test: 2,805 examples
- Language: Arabic
- Output format: Semantic HTML
License
Apache 2.0