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Dataset Card for MADBase
Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
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]
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