Update README.md

README.md

@@ -85,7 +85,7 @@ train_y = np.reshape(load_y, [training_samples, outputsize])
 np.save("train_x.npy", train_x)
 np.save("train_y.npy", train_y)
 ```
-_632,847,695 samples, each sample is 2 components for train_x (random seed & 0-1 unit sphere position index) and 6 components for train_y (vertex position & vertex color)._
+_632,847,695 samples, each sample is 2 components for train_x (random seed & 0-1 unit sphere position index) and 6 components for train_y (vertex position [x,y,z] & vertex color [r,g,b])._
 
 The basic premise of how this network is trained and thus how the dataset is generated in the C program is:
 1. All models are pre-scaled to a normal cubic scale and then scaled again by 0.55 so that they all fit within a unit sphere.