Datasets:
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"
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: http://yann.lecun.com/exdb/mnist/
- Repository: None
- Paper: None
- Leaderboard: None
- 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
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.