diff --git a/examples/classification/demo_knn.py b/examples/classification/demo_knn.py
index 3761df8978..5ec89f51f7 100644
--- a/examples/classification/demo_knn.py
+++ b/examples/classification/demo_knn.py
@@ -5,13 +5,8 @@
 import heat as ht
 from heat.classification.kneighborsclassifier import KNeighborsClassifier
 
-import pkg_resources
-
 # Load dataset from hdf5 file
-iris_path = pkg_resources.resource_filename(
-    pkg_resources.Requirement.parse("heat"), "heat/datasets/iris.h5"
-)
-
+iris_path = f'{os.path.dirname(ht.__file__)}/datasets/iris.h5'
 X = ht.load_hdf5(iris_path, dataset="data", split=0)
 
 # Generate keys for the iris.h5 dataset
diff --git a/examples/lasso/demo.py b/examples/lasso/demo.py
index 8d6f6a181a..d852314d4e 100644
--- a/examples/lasso/demo.py
+++ b/examples/lasso/demo.py
@@ -10,15 +10,11 @@
 
 import plotfkt
 
-import pkg_resources
-
 # read scikit diabetes data set
 diabetes = datasets.load_diabetes()
 
 # load diabetes dataset from hdf5 file
-diabetes_path = pkg_resources.resource_filename(
-    pkg_resources.Requirement.parse("heat"), "heat/datasets/diabetes.h5"
-)
+diabetes_path = f'{os.path.dirname(ht.__file__)}/datasets/diabetes.h5'
 
 X = ht.load_hdf5(diabetes_path, dataset="x", split=0)
 y = ht.load_hdf5(diabetes_path, dataset="y", split=0)
diff --git a/pyproject.toml b/pyproject.toml
index 30e4f6a5be..c320455081 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -61,11 +61,12 @@ zarr = ["zarr"]
 
 ## Examples and tutorial
 examples = [
-    "scikit-learn~=0.24",
+    "scikit-learn",
     "matplotlib~=3.1",
     "jupyter",
     "ipyparallel",
-    "pillow"
+    "pillow",
+    "h5py>=2.8.0",
 ]
 
 dev = [