| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: int64 |
| splits: |
| - name: train |
| num_bytes: 16186819.125 |
| num_examples: 59999 |
| - name: test |
| num_bytes: 2695549.125 |
| num_examples: 9999 |
| download_size: 15361996 |
| dataset_size: 18882368.25 |
| task_categories: |
| - image-classification |
| language: |
| - ar |
| pretty_name: Arabic Handwritten Digits Images Dataset |
| size_categories: |
| - 10K<n<100K |
| --- |
| # Dataset Card for MADBase |
|
|
| ## Dataset Description |
|
|
| - **Homepage:** |
| https://datacenter.aucegypt.edu/shazeem/ |
| - **Repository:** |
| - **Paper:** |
| A Two-Stage System for Arabic Handwritten Digit Recognition Tested on a New Large Database. |
| EA El-Sherif, S Abdelazeem |
| Artificial intelligence and pattern recognition, 237-242 |
| - **Leaderboard:** |
| - **Point of Contact:** |
| Ezzat ezzat.elsherif@gmail.com |
|
|
| ### Dataset Summary |
|
|
| 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). |
|
|
| ### Supported Tasks and Leaderboards |
|
|
| [More Information Needed] |
|
|
| ### Languages |
|
|
| Arabic |
|
|
| ## Dataset Structure |
|
|
| ### Data Instances |
|
|
| { |
| 'image': <PIL.PngImagePlugin.PngImageFile image mode=L size=28x28 at 0x7F5EE5B427A0>, |
| 'label': 1, |
| } |
|
|
| ### Data Fields |
|
|
| 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] |
| label: an integer between 0 and 9 representing the digit. |
|
|
| ### Data Splits |
|
|
| 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. |
|
|
| ## Dataset Creation |
|
|
| ### Curation Rationale |
|
|
| [More Information Needed] |
|
|
| ### Source Data |
|
|
| #### Initial Data Collection and Normalization |
|
|
| [More Information Needed] |
|
|
| #### Who are the source language producers? |
|
|
| [More Information Needed] |
|
|
| ### Annotations |
|
|
| #### Annotation process |
|
|
| [More Information Needed] |
|
|
| #### Who are the annotators? |
|
|
| [More Information Needed] |
|
|
| ### Personal and Sensitive Information |
|
|
| [More Information Needed] |
|
|
| ## Considerations for Using the Data |
|
|
| ### Social Impact of Dataset |
|
|
| [More Information Needed] |
|
|
| ### Discussion of Biases |
|
|
| [More Information Needed] |
|
|
| ### Other Known Limitations |
|
|
| [More Information Needed] |
|
|
| ## Additional Information |
|
|
| ### Dataset Curators |
|
|
| [More Information Needed] |
|
|
| ### Licensing Information |
|
|
| The dataset is publickly available for research. Any work that uses this dataset should cite the work below in Citation Information. |
|
|
| ### Citation Information |
| ``` |
| @inproceedings{el2007two, |
| title={A Two-Stage System for Arabic Handwritten Digit Recognition Tested on a New Large Database.}, |
| author={El-Sherif, Ezzat Ali and Abdelazeem, Sherif}, |
| booktitle={Artificial intelligence and pattern recognition}, |
| pages={237--242}, |
| year={2007} |
| } |
| ``` |
|
|
| ### Contributions |
|
|
| [More Information Needed] |
