diff --git a/examples/trees/cart/cart.go b/examples/trees/cart/cart.go
index 15d5888..628060c 100644
--- a/examples/trees/cart/cart.go
+++ b/examples/trees/cart/cart.go
@@ -36,7 +36,7 @@ func main() {
 	*/
 
 	// Load Titanic Data For classification
-	classificationData, err := base.ParseCSVToInstances("../datasets/titanic.csv", false)
+	classificationData, err := base.ParseCSVToInstances("../../datasets/titanic.csv", false)
 	if err != nil {
 		panic(err)
 	}
diff --git a/examples/trees/id3/trees.go b/examples/trees/id3/trees.go
index c73fc4f..9bdd44f 100644
--- a/examples/trees/id3/trees.go
+++ b/examples/trees/id3/trees.go
@@ -4,12 +4,13 @@ package main
 
 import (
 	"fmt"
+	"math/rand"
+
 	"github.com/sjwhitworth/golearn/base"
 	"github.com/sjwhitworth/golearn/ensemble"
 	"github.com/sjwhitworth/golearn/evaluation"
 	"github.com/sjwhitworth/golearn/filters"
 	"github.com/sjwhitworth/golearn/trees"
-	"math/rand"
 )
 
 func main() {
@@ -19,7 +20,7 @@ func main() {
 	rand.Seed(44111342)
 
 	// Load in the iris dataset
-	iris, err := base.ParseCSVToInstances("../datasets/iris_headers.csv", true)
+	iris, err := base.ParseCSVToInstances("../../datasets/iris_headers.csv", true)
 	if err != nil {
 		panic(err)
 	}
diff --git a/examples/trees/isolationForest/isolation_forest.go b/examples/trees/isolationForest/isolation_forest.go
index 47c4ebf..30ddb0a 100644
--- a/examples/trees/isolationForest/isolation_forest.go
+++ b/examples/trees/isolationForest/isolation_forest.go
@@ -16,7 +16,7 @@ func main() {
 
 	// Load data for outlier detection - includes gaussian distribution, and ten outliers at the end
 	// Dataset has 1000 normal datapoints, and 10 outliers at the ned
-	csvData, err := base.ParseCSVToInstances("../datasets/gaussian_outliers.csv", true)
+	csvData, err := base.ParseCSVToInstances("../../datasets/gaussian_outliers.csv", true)
 	if err != nil {
 		panic(err)
 	}