diff --git a/examples/1_load_hugging_face_dataset.py b/examples/1_load_hugging_face_dataset.py
index 35f3c685..17d28914 100644
--- a/examples/1_load_hugging_face_dataset.py
+++ b/examples/1_load_hugging_face_dataset.py
@@ -37,7 +37,7 @@ from datasets import load_dataset
 # TODO(rcadene): list available datasets on lerobot page using `datasets`
 
 # download/load hugging face dataset in pyarrow format
-hf_dataset, fps = load_dataset("lerobot/pusht", split="train"), 10
+hf_dataset, fps = load_dataset("lerobot/pusht", revision="v1.0", split="train"), 10
 
 # display name of dataset and its features
 print(f"{hf_dataset=}")
diff --git a/examples/2_load_lerobot_dataset.py b/examples/2_load_lerobot_dataset.py
index ace9c174..49a53d8e 100644
--- a/examples/2_load_lerobot_dataset.py
+++ b/examples/2_load_lerobot_dataset.py
@@ -87,7 +87,7 @@ print(f"{dataset[0]['action'].shape=}")  # (64,c)
 # because they are just PyTorch datasets.
 dataloader = torch.utils.data.DataLoader(
     dataset,
-    num_workers=4,
+    num_workers=0,
     batch_size=32,
     shuffle=True,
 )