# 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]
task_categories:image-classification size_categories:10K<n<100K language:ar region:us
{"language": ["ar"], "size_categories": ["10K<n<100K"], "task_categories": ["image-classification"], "pretty_name": "Arabic Handwritten Digits Images Dataset", "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}}
TAGS
#task_categories-image-classification #size_categories-10K<n<100K #language-Arabic #region-us 

# Dataset Card for MADBase

## Dataset Description

- Homepage:
  URL
- 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@URL

### 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



### 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



### Source Data

#### Initial Data Collection and Normalization



#### Who are the source language producers?



### Annotations

#### Annotation process



#### Who are the annotators?



### Personal and Sensitive Information



## Considerations for Using the Data

### Social Impact of Dataset



### Discussion of Biases



### Other Known Limitations



## Additional Information

### Dataset Curators



### Licensing Information

The dataset is publickly available for research. Any work that uses this dataset should cite the work below in Citation Information.




### Contributions


# Dataset Card for MADBase ## Dataset Description

- Homepage:
  URL
- 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@URL ### 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 ### 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 ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information

The dataset is publickly available for research. Any work that uses this dataset should cite the work below in Citation Information. ### Contributions
TAGS
#task_categories-image-classification #size_categories-10K<n<100K #language-Arabic #region-us 
 # Dataset Card for MADBase ## Dataset Description

- Homepage:
  URL
- 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@URL ### 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 ### 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 ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information

The dataset is publickly available for research. Any work that uses this dataset should cite the work below in Citation Information. ### Contributions
passage: TAGS
#task_categories-image-classification #size_categories-10K<n<100K #language-Arabic #region-us 
# Dataset Card for MADBase## Dataset Description

- Homepage:
  URL
- 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@URL### 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### 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### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information## Considerations for Using the Data### Social Impact of Dataset### Discussion of Biases### Other Known Limitations## Additional Information### Dataset Curators