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--- |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: label |
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dtype: int64 |
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splits: |
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- name: train |
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num_bytes: 16186819.125 |
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num_examples: 59999 |
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- name: test |
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num_bytes: 2695549.125 |
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num_examples: 9999 |
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download_size: 15361996 |
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dataset_size: 18882368.25 |
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task_categories: |
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- image-classification |
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language: |
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- ar |
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pretty_name: Arabic Handwritten Digits Images Dataset |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Dataset Card for MADBase |
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## Dataset Description |
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- **Homepage:** |
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https://datacenter.aucegypt.edu/shazeem/ |
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- **Repository:** |
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- **Paper:** |
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A Two-Stage System for Arabic Handwritten Digit Recognition Tested on a New Large Database. |
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EA El-Sherif, S Abdelazeem |
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Artificial intelligence and pattern recognition, 237-242 |
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- **Leaderboard:** |
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- **Point of Contact:** |
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Ezzat El-Sherif ([email protected]) |
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### Dataset Summary |
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This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). |
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### Supported Tasks and Leaderboards |
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[More Information Needed] |
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### Languages |
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Arabic |
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## Dataset Structure |
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### Data Instances |
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{ |
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'image': <PIL.PngImagePlugin.PngImageFile image mode=L size=28x28 at 0x7F5EE5B427A0>, |
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'label': 1, |
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} |
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### Data Fields |
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image: A PIL.Image.Image object containing the 28x28 image. Note that when accessing the image column: dataset[0]["image"] the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the "image" column, i.e. dataset[0]["image"] should always be preferred over dataset["image"][0] |
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label: an integer between 0 and 9 representing the digit. |
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### Data Splits |
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The data is split into training and test set. The training set contains, as in mnist dataset, 60,000 images and the test set 10,000 images. |
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## Dataset Creation |
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### Curation Rationale |
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[More Information Needed] |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[More Information Needed] |
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#### Who are the source language producers? |
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[More Information Needed] |
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### Annotations |
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#### Annotation process |
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[More Information Needed] |
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#### Who are the annotators? |
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[More Information Needed] |
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### Personal and Sensitive Information |
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[More Information Needed] |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed] |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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[More Information Needed] |
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## Additional Information |
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### Dataset Curators |
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[More Information Needed] |
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### Licensing Information |
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The dataset is publickly available for research. Any work that uses this dataset should cite the work below in Citation Information. |
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### Citation Information |
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``` |
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@inproceedings{el2007two, |
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title={A Two-Stage System for Arabic Handwritten Digit Recognition Tested on a New Large Database.}, |
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author={El-Sherif, Ezzat Ali and Abdelazeem, Sherif}, |
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booktitle={Artificial intelligence and pattern recognition}, |
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pages={237--242}, |
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year={2007} |
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} |
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``` |
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### Contributions |
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[More Information Needed] |
