Added CIFAR-10 data to data sets.

GPy/util/data_resources.json

@@ -57,6 +57,20 @@
             "http://www.cs.nyu.edu/~roweis/data/"
         ]
     },
+    "cifar-10": {
+        "citation": "Learning Multiple Layers of Features from Tiny Images, Alex Krizhevsky, 2009, Tech report available here: http://www.cs.toronto.edu/~kriz/learning-features-2009-TR.pdf",
+        "details": "The CIFAR-10 and CIFAR-100 are labeled subsets of the 80 million tiny images dataset. They were collected by Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton. Details are available on this webpage: http://www.cs.toronto.edu/~kriz/cifar.html. 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.",
+        "files": [
+            [
+                "cifar-10-python.tar.gz"
+            ]
+        ],
+        "license": null,
+        "size": 0,
+        "urls": [
+            "http://www.cs.toronto.edu/~kriz/"
+        ]
+    },
     "cmu_mocap_full": {
         "citation": "Please include this in your acknowledgements: The data used in this project was obtained from mocap.cs.cmu.edu.\\nThe database was created with funding from NSF EIA-0196217.",
         "details": "CMU Motion Capture data base. Captured by a Vicon motion capture system consisting of 12 infrared MX-40 cameras, each of which is capable of recording at 120 Hz with images of 4 megapixel resolution. Motions are captured in a working volume of approximately 3m x 8m. The capture subject wears 41 markers and a stylish black garment.",