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---
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 [email protected]
### 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] |