This is a dataset of "fake" MNIST images which were sampled from a high-entropy distribution whose
mean and covariance matrix matches that of the original MNIST. It was generated with the following code:
from datasets import ClassLabel, Dataset, DatasetDict, Features, Image, load_dataset
from functools import partial
def generator(split: str):
from datasets import Dataset
from concept_erasure import assert_type, groupby, optimal_linear_shrinkage
from… See the full description on the dataset page:
https://huggingface.co/datasets/EleutherAI/fake-mnist.
