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| # Dataset Card for Arabic Digits |
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| <!-- Provide a quick summary of the dataset. --> |
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| ## Dataset Details |
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| ### Dataset Description |
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| <!-- Provide a longer summary of what this dataset is. --> |
| This dataset contains 70,000 Arabic handwritten digits, written by 700 participants. It is intended for Arabic digit recognition tasks using machine learning. The dataset is split into a training set of 60,000 images and a test set of 10,000 images, covering 10 Arabic digits (labeled 0–9). Each digit was written ten times by each writer. The images are in grayscale, 28×28 pixels, and were collected from different institutions to ensure diversity in handwriting styles. The dataset is derived from the MADBase database. |
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| - **License:** Open Database License (ODbL) |
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| ### Dataset Sources |
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| <!-- Provide the basic links for the dataset. --> |
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| - **Homepage:** https://github.com/mloey/Arabic-Handwritten-Digits-Dataset |
| - **Paper:** El-Sawy, A., El-Bakry, H., & Loey, M. (2017). CNN for handwritten arabic digits recognition based on LeNet-5. In Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016 2 (pp. 566-575). Springer International Publishing. |
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| ## Dataset Structure |
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| <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> |
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| Total images: 70,000 |
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| Splits: |
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| - **Train**: 60,000 images (85.7%) |
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| - **Test**: 10,000 images (14.3%) |
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| Classes (labels): 10 (Arabic digits), labeled 0–9 |
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| Image specs: PNG format, 28×28 pixels, grayscale |
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| ## Example Usage |
| Below is a quick example of how to load this dataset via the Hugging Face Datasets library. |
| ``` |
| from datasets import load_dataset |
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| # Load the dataset |
| dataset = load_dataset("randall-lab/arabic-digits", split="train", trust_remote_code=True) |
| # dataset = load_dataset("randall-lab/arabic-digits", split="test", trust_remote_code=True) |
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| # Access a sample from the training set |
| example = dataset["train"][0] |
| image = example["image"] |
| label = example["label"] |
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| image.show() # Display the image |
| print(f"Label: {label}") |
| ``` |
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| ## Citation |
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| <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> |
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| **BibTeX:** |
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| @inproceedings{el2017cnn, |
| title={CNN for handwritten arabic digits recognition based on LeNet-5}, |
| author={El-Sawy, Ahmed and El-Bakry, Hazem and Loey, Mohamed}, |
| booktitle={Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016 2}, |
| pages={566--575}, |
| year={2017}, |
| organization={Springer} |
| } |
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