fix tutorial

docs/src/tutorials/warcraft.jl

@@ -25,10 +25,10 @@ train_dataset, test_dataset = dataset[1:45], dataset[46:50]
 sample = test_dataset[1]
 # `x` correspond to the input features, i.e. the input image (3D array) in the Warcraft benchmark case:
 x = sample.x
-# `θ` correspond to the true unknown terrain weights. We use the opposite of the true weights in order to formulate the optimization problem as a maximization problem:
-θ_true = sample.θ
-# `y` correspond to the optimal shortest path, encoded as a binary matrix:
-y_true = sample.y
+# `θ_true` correspond to the true unknown terrain weights. We use the opposite of the true weights in order to formulate the optimization problem as a maximization problem:
+θ_true = sample.θ_true
+# `y_true` correspond to the optimal shortest path, encoded as a binary matrix:
+y_true = sample.y_true
 # `instance` is not used in this benchmark, therefore set to nothing:
 isnothing(sample.instance)