mnist
Download MNIST and Fashion MNIST datasets without needing to install tensorflow.
Installation
pip install get-mnist
CLI Download
mnist --dataset [mnist, fashion] --cache [CACHE]
Use the --dataset flag to decide if you want to download the original MNIST dataset or the Fashion MNIST dataset. Use the --cache flag to decide where to save the dataset. If omitted it defaults to $XDG_DATA_HOME/MNIST or $XDG_DATA_HOME/FASHION_MNIST.
Programatic Download
from mnist import get_mnist
x, y, x_test, y_test = mnist('MNIST')
x, y, x_test, y_test = fashion_mnist('FASHION_MNIST')
The function argument is the name of the directory to cache the dataset in. These functions can also take train_url, train_label_url, test_url, and test_label_url to download data from different sources.
Metadata
Release files for get-mnist 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| get-mnist-1.0.1.tar.gz | 4.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| get_mnist-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.3 kB
Release files / get-mnist-1.0.1.tar.gz
| Download URL | get-mnist-1.0.1.tar.gz |
|---|---|
| Size | 4.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / get_mnist-1.0.1-py3-none-any.whl
| Download URL | get_mnist-1.0.1-py3-none-any.whl |
|---|---|
| Size | 5.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.7
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