docstring spelling fixes

Author: Evizero

src/CIFAR10/interface.jl

@@ -209,11 +209,11 @@ function testlabels(args...; dir = nothing)
 end
 
 """
-    traindata([T = N0f8], [indices]; [dir]) -> Tuple
+    traindata([T = N0f8], [indices]; [dir]) -> images, labels
 
 Returns the CIFAR-10 **trainingset** corresponding to the given
 `indices` as a two-element tuple. If `indices` is omitted the
-full trainingset is returned. The first element of three return
+full trainingset is returned. The first element of the return
 values will be the images as a multi-dimensional array, and the
 second element the corresponding labels as integers.
 
@@ -314,11 +314,11 @@ function traindata(::Type{T}, indices::AbstractVector; dir = nothing) where T
 end
 
 """
-    testdata([T = N0f8], [indices]; [dir]) -> Tuple
+    testdata([T = N0f8], [indices]; [dir]) -> images, labels
 
 Returns the CIFAR-10 **testset** corresponding to the given
 `indices` as a two-element tuple. If `indices` is omitted the
-full testset is returned. The first element of three return
+full testset is returned. The first element of the return
 values will be the images as a multi-dimensional array, and the
 second element the corresponding labels as integers.
 
@@ -330,9 +330,9 @@ values of the labels correspond 1-to-1 the digit that they
 represent.
 
 ```julia
-train_x, train_y = CIFAR10.testdata() # full datatset
-train_x, train_y = CIFAR10.testdata(2) # only second observation
-train_x, train_y = CIFAR10.testdata(dir="./CIFAR10") # custom folder
+test_x, test_y = CIFAR10.testdata() # full datatset
+test_x, test_y = CIFAR10.testdata(2) # only second observation
+test_x, test_y = CIFAR10.testdata(dir="./CIFAR10") # custom folder
 ```
 
 $(download_docstring("CIFAR10", DEPNAME))

src/CIFAR100/interface.jl

@@ -236,10 +236,10 @@ end
 
 Returns the CIFAR-100 **trainset** corresponding to the given
 `indices` as a three-element tuple. If `indices` is omitted the
-full trainingset is returned. The first element of three return
-values (`X`) will be the images as a multi-dimensional array, the
-second element (`Yc`) the corresponding coarse labels as
-integers, and the third element (`Yf`) the fine labels
+full trainingset is returned. The first element of the three
+return values (`X`) will be the images as a multi-dimensional
+array, the second element (`Yc`) the corresponding coarse labels
+as integers, and the third element (`Yf`) the fine labels
 respectively.
 
 The image(s) is/are returned in the native horizontal-major
@@ -317,7 +317,7 @@ end
 
 Returns the CIFAR-100 **testset** corresponding to the given
 `indices` as a three-element tuple. If `indices` is omitted the
-full testset is returned. The first element of three return
+full testset is returned. The first element of the three return
 values (`X`) will be the images as a multi-dimensional array, the
 second element (`Yc`) the corresponding coarse labels as
 integers, and the third element (`Yf`) the fine labels

src/FashionMNIST/interface.jl

@@ -217,11 +217,11 @@ function testlabels(index::Integer; dir = nothing)
 end
 
 """
-    traindata([T = N0f8], [indices]; [dir]) -> Tuple
+    traindata([T = N0f8], [indices]; [dir]) -> images, labels
 
 Returns the Fashion-MNIST **trainingset** corresponding to the
 given `indices` as a two-element tuple. If `indices` is omitted
-the full trainingset is returned. The first element of three
+the full trainingset is returned. The first element of the
 return values will be the images as a multi-dimensional array,
 and the second element the corresponding labels as integers.
 
@@ -251,11 +251,11 @@ end
 traindata(args...; dir = nothing) = traindata(N0f8, args...; dir = dir)
 
 """
-    testdata([T = N0f8], [indices]; [dir]) -> Tuple
+    testdata([T = N0f8], [indices]; [dir]) -> images, labels
 
 Returns the Fashion-MNIST **testset** corresponding to the given
 `indices` as a two-element tuple. If `indices` is omitted the
-full testset is returned. The first element of three return values
+full testset is returned. The first element of the return values
 will be the images as a multi-dimensional array, and the second
 element the corresponding labels as integers.