Update README.md

README.md

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 ---
 license: mit
+data_type: image (0-1 ranged float)
+
 ---
+
+### 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 Synthetic-Data Parameterization},
+author = {Kim, Jang-Hyun and Kim, Jinuk and Oh, Seong Joon and Yun, Sangdoo and Song, Hwanjun and Jeong, Joonhyun and Ha, Jung-Woo and Song, Hyun Oh},
+booktitle = {International Conference on Machine Learning (ICML)},
+year = {2022}
+}
+```