Datasets:
MohamedRashad
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README.md
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path: data/train-*
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- split: test
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path: data/test-*
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---
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```bibtex
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@misc{rashad2024arabicnougatfinetuningvisiontransformers,
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title={Arabic-Nougat: Fine-Tuning Vision Transformers for Arabic OCR and Markdown Extraction},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2411.17835},
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}
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```
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path: data/train-*
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- split: test
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path: data/test-*
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license: gpl-3.0
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task_categories:
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- image-to-text
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language:
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- ar
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pretty_name: Arabic Img2MD
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size_categories:
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- 10K<n<100K
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---
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# Arabic Img2MD
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## Dataset Summary
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The `arabic-img2md` dataset consists of **15,000 examples** of PDF pages paired with their Markdown counterparts. The dataset is split into:
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- **Train:** 13,700 examples
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- **Test:** 1,520 examples
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This dataset was created as part of the open-source research project **Arabic Nougat** to enable OCR and Markdown extraction from Arabic documents. It contains mostly **Arabic text** but also includes examples with **English text**.
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## Usage
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The dataset was used to train two models:
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- `arabic-base-nougat`
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- `arabic-large-nougat`
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These models are designed for **OCR** tasks and converting PDF content to Markdown in the Arabic language context.
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## Research Context
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The dataset supports the findings of the research paper:
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**[Arabic-Nougat: Fine-Tuning Vision Transformers for Arabic OCR and Markdown Extraction](https://huggingface.co/papers/2411.17835)**.
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## Licensing
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This dataset is released under the **GPL-3.0 License**, ensuring its open-source availability.
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## Citation
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If you use this dataset, please cite the corresponding research paper:
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```bibtex
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@misc{rashad2024arabicnougatfinetuningvisiontransformers,
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title={Arabic-Nougat: Fine-Tuning Vision Transformers for Arabic OCR and Markdown Extraction},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2411.17835},
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}
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```
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