diff --git a/doc/progress.rst b/doc/progress.rst
index 8d3f4ec1d..1c48e13c9 100644
--- a/doc/progress.rst
+++ b/doc/progress.rst
@@ -8,7 +8,7 @@ Changelog
 
 0.12.2
 ~~~~~~
-
+* MAINT/DOC: #1066/#1063 Use names instead of integer ids in the examples whenever possible. Update documentation for ``get_dataset``.
 * DOC: Fixes a few broken links in the documentation.
 * MAINT/DOC: Automatically check for broken external links when building the documentation.
 * MAINT/DOC: Fail documentation building on warnings. This will make the documentation building
diff --git a/examples/20_basic/simple_datasets_tutorial.py b/examples/20_basic/simple_datasets_tutorial.py
index c525a3ef9..62b005846 100644
--- a/examples/20_basic/simple_datasets_tutorial.py
+++ b/examples/20_basic/simple_datasets_tutorial.py
@@ -26,8 +26,7 @@
 # Download a dataset
 # ==================
 
-# Iris dataset https://www.openml.org/d/61
-dataset = openml.datasets.get_dataset(61)
+dataset = openml.datasets.get_dataset(dataset_id="iris", version=1)
 
 # Print a summary
 print(
diff --git a/examples/20_basic/simple_flows_and_runs_tutorial.py b/examples/20_basic/simple_flows_and_runs_tutorial.py
index 1d3bb5d6f..398a37c28 100644
--- a/examples/20_basic/simple_flows_and_runs_tutorial.py
+++ b/examples/20_basic/simple_flows_and_runs_tutorial.py
@@ -21,7 +21,7 @@
 # ==============================
 
 # NOTE: We are using dataset 20 from the test server: https://test.openml.org/d/20
-dataset = openml.datasets.get_dataset(20)
+dataset = openml.datasets.get_dataset(dataset_id="diabetes", version=1)
 X, y, categorical_indicator, attribute_names = dataset.get_data(
     dataset_format="array", target=dataset.default_target_attribute
 )
diff --git a/examples/20_basic/simple_suites_tutorial.py b/examples/20_basic/simple_suites_tutorial.py
index 92dfb3c04..64c8de490 100644
--- a/examples/20_basic/simple_suites_tutorial.py
+++ b/examples/20_basic/simple_suites_tutorial.py
@@ -38,8 +38,9 @@
 ####################################################################################################
 # Downloading benchmark suites
 # ============================
-
-suite = openml.study.get_suite(99)
+# OpenML Benchmarking Suites and the OpenML-CC18
+# https://www.openml.org/s/99
+suite = openml.study.get_suite("OpenML-CC18")
 print(suite)
 
 ####################################################################################################
diff --git a/examples/30_extended/configure_logging.py b/examples/30_extended/configure_logging.py
index 2dae4047f..2782f9733 100644
--- a/examples/30_extended/configure_logging.py
+++ b/examples/30_extended/configure_logging.py
@@ -24,7 +24,7 @@
 
 import openml
 
-openml.datasets.get_dataset("iris")
+openml.datasets.get_dataset("iris", version=1)
 
 # With default configuration, the above example will show no output to console.
 # However, in your cache directory you should find a file named 'openml_python.log',
@@ -39,7 +39,7 @@
 
 openml.config.console_log.setLevel(logging.DEBUG)
 openml.config.file_log.setLevel(logging.WARNING)
-openml.datasets.get_dataset("iris")
+openml.datasets.get_dataset("iris", version=1)
 
 # Now the log level that was previously written to file should also be shown in the console.
 # The message is now no longer written to file as the `file_log` was set to level `WARNING`.
diff --git a/examples/30_extended/datasets_tutorial.py b/examples/30_extended/datasets_tutorial.py
index e8aa94f2b..11ea2f5bd 100644
--- a/examples/30_extended/datasets_tutorial.py
+++ b/examples/30_extended/datasets_tutorial.py
@@ -52,7 +52,7 @@
 # =================
 
 # This is done based on the dataset ID.
-dataset = openml.datasets.get_dataset(1471)
+dataset = openml.datasets.get_dataset(dataset_id="eeg-eye-state", version=1)
 
 # Print a summary
 print(
@@ -92,7 +92,7 @@
 # data file. The dataset object can be used as normal.
 # Whenever you use any functionality that requires the data,
 # such as `get_data`, the data will be downloaded.
-dataset = openml.datasets.get_dataset(1471, download_data=False)
+dataset = openml.datasets.get_dataset(dataset_id="eeg-eye-state", version=1, download_data=False)
 
 ############################################################################
 # Exercise 2
diff --git a/examples/30_extended/flows_and_runs_tutorial.py b/examples/30_extended/flows_and_runs_tutorial.py
index 714ce7b55..9adc8cb96 100644
--- a/examples/30_extended/flows_and_runs_tutorial.py
+++ b/examples/30_extended/flows_and_runs_tutorial.py
@@ -25,7 +25,7 @@
 # Train a scikit-learn model on the data manually.
 
 # NOTE: We are using dataset 68 from the test server: https://test.openml.org/d/68
-dataset = openml.datasets.get_dataset(68)
+dataset = openml.datasets.get_dataset(dataset_id="eeg-eye-state", version=1)
 X, y, categorical_indicator, attribute_names = dataset.get_data(
     dataset_format="array", target=dataset.default_target_attribute
 )
@@ -36,7 +36,7 @@
 # You can also ask for meta-data to automatically preprocess the data.
 #
 # * e.g. categorical features -> do feature encoding
-dataset = openml.datasets.get_dataset(17)
+dataset = openml.datasets.get_dataset(dataset_id="credit-g", version=1)
 X, y, categorical_indicator, attribute_names = dataset.get_data(
     dataset_format="array", target=dataset.default_target_attribute
 )
diff --git a/examples/30_extended/study_tutorial.py b/examples/30_extended/study_tutorial.py
index b66c49096..08ebd49dc 100644
--- a/examples/30_extended/study_tutorial.py
+++ b/examples/30_extended/study_tutorial.py
@@ -77,7 +77,8 @@
 tasks = [115, 259, 307]
 
 # To verify
-suite = openml.study.get_suite(1)
+# https://test.openml.org/api/v1/study/1
+suite = openml.study.get_suite("OpenML100")
 print(all([t_id in suite.tasks for t_id in tasks]))
 
 run_ids = []
diff --git a/examples/30_extended/suites_tutorial.py b/examples/30_extended/suites_tutorial.py
index 9b8c1d73d..4b3916181 100644
--- a/examples/30_extended/suites_tutorial.py
+++ b/examples/30_extended/suites_tutorial.py
@@ -37,7 +37,8 @@
 
 ############################################################################
 # This is done based on the dataset ID.
-suite = openml.study.get_suite(99)
+# https://www.openml.org/api/v1/study/99
+suite = openml.study.get_suite("OpenML-CC18")
 print(suite)
 
 ############################################################################
diff --git a/openml/datasets/functions.py b/openml/datasets/functions.py
index 746285650..180f850b7 100644
--- a/openml/datasets/functions.py
+++ b/openml/datasets/functions.py
@@ -368,7 +368,8 @@ def get_dataset(
     Parameters
     ----------
     dataset_id : int or str
-        Dataset ID of the dataset to download
+        Dataset ID of the dataset to download. It can be an integer or it can be a string
+        of the dataset name.
     download_data : bool, optional (default=True)
         If True, also download the data file. Beware that some datasets are large and it might
         make the operation noticeably slower. Metadata is also still retrieved.