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| 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 | |
| ```python | |
| 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 | |