datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Fashion-MNIST-CSVThis dataset is a direct copy of Fashion-MNIST, originally published by Zalando Research on Kaggle https://www.kaggle.com/datasets/zalando-research/fashionmnist.
Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. Zalando intends Fashion-MNIST to serve as a direct drop-in replacement for the original MNIST dataset for… See the full description on the dataset page: https://huggingface.co/datasets/vincent-espitalier/Fashion-MNIST-CSV.K-MNIST-CSV
Kuzushiji-MNIST
This dataset is a direct CSV conversion of Kuzushiji-MNIST, originally sourced from the GitHub repository https://github.com/rois-codh/kmnist.
Kuzushiji-MNIST is a drop-in replacement for the MNIST dataset (28x28 grayscale, 70,000 images).
adversarial-mnist
MNIST with Adversarial Examples
This dataset contains MNIST images with both normal and adversarial examples.
The dataset includes:
Original MNIST digit images (28x28 pixels, flattened to 784 features)
Adversarial examples generated from the original images
Labels for digit classification (0-9)
Binary flag indicating whether each sample is adversarial
Features:
label: Digit class (0-9)
pixels 0-783: Flattened 28x28 grayscale pixel values
is_adversarial: Binary flag (0 = normal, 1… See the full description on the dataset page: https://huggingface.co/datasets/wambosec/adversarial-mnist.MNISTKyrgyzTest400The data is based on Kyrgyz MNIST.It is based on the Test Set.
Reproduce by:
numSamplesPerCls = 400
seedNum = 512
dfData = pd.read_csv(r'test.csv')
dfT = dfData.groupby('label', group_keys = False).sample(n = numSamplesPerCls, replace = False, random_state = seedNum)
dfT = dfT.reset_index(drop = False)
dfT = dfT.rename(columns = {'index': 'img_index'})
dfT.to_csv(r'MNISTKyrgyzTest400.csv', index = False)
MNISTThe dataset contains various MNIST like datasets in teh form of a csv files.
MNIST
Based on the MNIST Dataset in OpenML: OpenML mnist_784.
The way to reproduce:
from sklearn.datasets import fetch_openml
dfX, dsY = fetch_openml('mnist_784', version = 1, return_X_y = True, as_frame = True)
dfX.columns = [str(ii) for ii in range(dfX.shape[1])]
dfX['Label'] = dsY
dfX.to_csv('MNIST.csv')
Fashion MNIST
Based on Zalando Research - FashionMNIST.
Packaged into a CSV in a Row… See the full description on the dataset page: https://huggingface.co/datasets/Royi/MNIST.