ICML2022/EfficientDatasetCondensation

Data summary This repository contains small synthetic data for Image datasets; MNIST, SVHN, and CIFAR-10. Each torch file contains the images and corresponding labels of sizes ranging from 1,10,50 images per class (IPC). For more details, please refer to our GitHub page and paper below. Reference https://github.com/snu-mllab/Efficient-Dataset-Condensation Citation @inproceedings{kimICML22, title = {Dataset Condensation via Efficient… See the full description on the dataset page: https://huggingface.co/datasets/ICML2022/EfficientDatasetCondensation.