README.md

metadata

license: cc-by-sa-3.0
task_categories: []
tags:
  - image
  - mnist
pretty_name: MNIST Handwritten Digits

Info

Balanced subsample of the classic MNIST handwritten digits dataset (LeCun, Cortes, Burges), for use with the AUTOENCODIX Imagix tutorial.

Contents

• 2000 images, 200 per digit (digits 0-9), 28x28 grayscale PNG, drawn from the MNIST training split.
• mnist_images.zip: image files, named mnist_<digit>_<index>.png.
• mnist_mappings.txt: tab-separated annotation file, columns sample_ids, img_paths, label (digit class, 0-9).

Loading

from huggingface_hub import hf_hub_download
import zipfile

mapping_path = hf_hub_download(repo_id="autoencodix/mnist", repo_type="dataset", filename="mnist_mappings.txt")
zip_path = hf_hub_download(repo_id="autoencodix/mnist", repo_type="dataset", filename="mnist_images.zip")

with zipfile.ZipFile(zip_path) as zf:
    zf.extractall("data/images/")

License

CC BY-SA 3.0. Original MNIST dataset by Yann LeCun, Corinna Cortes, and Christopher J.C. Burges, derived from NIST, licensed under Creative Commons Attribution-ShareAlike 3.0. See http://yann.lecun.com/exdb/mnist/ for details.