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@@ -3,10 +3,10 @@ or may come from use cases. All these datasets can be used to gain expertise.
 
 
 CIFAR-10:
-- Description
-- Size:
+- Description: The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images. 
+- Size: 163 MB (python version)
 - File type: compressed archive
-- License:
+- License: If you're going to use this dataset, please cite the tech report: Learning Multiple Layers of Features from Tiny Images, Alex Krizhevsky, 2009.
 - Tag:
 - Prace location/url:
 - url: