Datasets:
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---
dataset_info:
features:
- name: image
dtype: image
- name: markdown
dtype: string
splits:
- name: train
num_bytes: 2708743071.071875
num_examples: 13694
- name: test
num_bytes: 299648958.76012516
num_examples: 1522
download_size: 2941596774
dataset_size: 3008392029.8320003
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
license: gpl-3.0
task_categories:
- image-to-text
language:
- ar
pretty_name: Arabic Img2MD
size_categories:
- 10K<n<100K
---
# Arabic Img2MD
## Dataset Summary
The `arabic-img2md` dataset consists of **15,000 examples** of PDF pages paired with their Markdown counterparts. The dataset is split into:
- **Train:** 13,700 examples
- **Test:** 1,520 examples
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**.
## Usage
The dataset was used to train two models:
- `arabic-base-nougat`
- `arabic-large-nougat`
These models are designed for **OCR** tasks and converting PDF content to Markdown in the Arabic language context.
## Research Context
The dataset supports the findings of the research paper:
**[Arabic-Nougat: Fine-Tuning Vision Transformers for Arabic OCR and Markdown Extraction](https://huggingface.co/papers/2411.17835)**.
## Licensing
This dataset is released under the **GPL-3.0 License**, ensuring its open-source availability.
## Citation
If you use this dataset, please cite the corresponding research paper:
```bibtex
@misc{rashad2024arabicnougatfinetuningvisiontransformers,
title={Arabic-Nougat: Fine-Tuning Vision Transformers for Arabic OCR and Markdown Extraction},
author={Mohamed Rashad},
year={2024},
eprint={2411.17835},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2411.17835},
}
``` |