README.md

metadata

size_categories:
  - n<1K
task_categories:
  - image-classification
pretty_name: MNIST
dataset_info:
  features:
    - name: image
      dtype:
        image:
          mode: L
    - name: label
      dtype:
        class_label:
          names:
            '0': '0'
            '1': '1'
            '2': '2'
            '3': '3'
            '4': '4'
            '5': '5'
            '6': '6'
            '7': '7'
            '8': '8'
            '9': '9'
  splits:
    - name: train
      num_bytes: 17223300
      num_examples: 60000
    - name: test
      num_bytes: 2875182
      num_examples: 10000
  download_size: 18157556
  dataset_size: 20098482
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*

Dataset Card for "MNIST"

Quick Start

Usage

>>> from datasets.load import load_dataset

>>> dataset = load_dataset('whyen-wang/mnist')
>>> example = dataset['train'][0]
>>> print(example)
{'image': <PIL.PngImagePlugin.PngImageFile image mode=L size=28x28>,
 'label': 5}

Visualization

>>> import cv2
>>> import numpy as np
>>> from PIL import Image

>>> def visualize(example):
    image = np.array(example['image'])
    image = cv2.resize(image, (280, 280))
    cv2.putText(
        image, str(example['label']), (0, 50), cv2.FONT_HERSHEY_SIMPLEX,
        2, (255), 1, cv2.LINE_AA, False
    )
    return image

>>> Image.fromarray(example)

Table of Contents

• Table of Contents
• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • 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
  • Citation Information
  • Contributions

Dataset Description

• Homepage: http://yann.lecun.com/exdb/mnist/
• Repository: None
• Paper: None
• Leaderboard: Papers with Code
• Point of Contact: None

Dataset Summary

The MNIST database of handwritten digits, available from this page, has a training set of 60,000 examples, and a test set of 10,000 examples. It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image.

Supported Tasks and Leaderboards

Image Classification

Languages

None

Dataset Structure

Data Instances

An example looks as follows.

{
    "image": PIL.Image(mode="L"),
    "label": "0"
}

Data Fields

[More Information Needed]

Data Splits

name	train	test
default	60,000	10,000

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

[More Information Needed]

Citation Information

[More Information Needed]

Contributions

Thanks to @github-whyen-wang for adding this dataset.