diff --git a/components/datasets/HuggingFace/_samples/sample.pipeline.py b/components/datasets/HuggingFace/_samples/sample.pipeline.py
new file mode 100644
index 00000000000..bf6ced5b7c8
--- /dev/null
+++ b/components/datasets/HuggingFace/_samples/sample.pipeline.py
@@ -0,0 +1,24 @@
+from kfp import components
+from kfp import dsl
+
+
+load_dataset_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/d0e14a1dad4b851ad2a60a0c1a8201493f3d931c/components/datasets/HuggingFace/Load_dataset/component.yaml')
+split_dataset_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/d0e14a1dad4b851ad2a60a0c1a8201493f3d931c/components/datasets/HuggingFace/Split_dataset/component.yaml')
+
+
+def huggingface_pipeline():
+    dataset_dict_task = load_dataset_op(dataset_name='imdb')
+    with dsl.ParallelFor(dataset_dict_task.outputs['splits']) as split_name:
+        deataset_task = split_dataset_op(
+            dataset_dict=dataset_dict_task.outputs['dataset_dict'],
+            split_name=split_name,
+        )
+
+
+if __name__ == '__main__':
+    import kfp
+    kfp_endpoint = None
+    kfp.Client(host=kfp_endpoint).create_run_from_pipeline_func(
+        huggingface_pipeline,
+        arguments={}
+    )