mirror of
https://github.com/MLSysBook/TinyTorch.git
synced 2026-04-29 20:31:43 -05:00
50b6219e5b
- Created download_mnist.py script to fetch Fashion-MNIST dataset - Added README explaining dataset format and download process - Fashion-MNIST used as accessible alternative to original MNIST - Same format allows seamless use with existing examples
1018 B
1018 B
TinyTorch Datasets
This directory contains datasets for TinyTorch examples and training.
MNIST Dataset
The mnist/ directory should contain the MNIST or Fashion-MNIST dataset files:
train-images-idx3-ubyte.gz- Training images (60,000 samples)train-labels-idx1-ubyte.gz- Training labelst10k-images-idx3-ubyte.gz- Test images (10,000 samples)t10k-labels-idx1-ubyte.gz- Test labels
Downloading the Dataset
Run the provided download script:
cd datasets
python download_mnist.py
This will download Fashion-MNIST (which has the same format as MNIST but is more accessible).
Dataset Format
Both MNIST and Fashion-MNIST use the same IDX file format:
- Images: 28x28 grayscale pixels
- Labels: Integer values 0-9
- Gzipped for compression
Fashion-MNIST classes:
- 0: T-shirt/top
- 1: Trouser
- 2: Pullover
- 3: Dress
- 4: Coat
- 5: Sandal
- 6: Shirt
- 7: Sneaker
- 8: Bag
- 9: Ankle boot
The examples will work with either original MNIST digits or Fashion-MNIST items.