diff --git a/examples/README.md b/examples/README.md
index 37a3d229..81c75669 100644
--- a/examples/README.md
+++ b/examples/README.md
@@ -1,13 +1,13 @@
 ## Examples
 
-We provide simple [example scripts](examples) that demonstrate how to inference and finetune OCTO models,
+We provide simple example scripts that demonstrate how to inference and finetune OCTO models,
 as well as how to use our data loader independently. We provide the following examples:
 
 |                                                                      |                                                                                                                 |
 |----------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------|
-| [OCTO Inference](examples/01_inference_pretrained.ipynb)             | Minimal example for loading and inferencing a pre-trained OCTO model                                            |
-| [OCTO Finetuning](examples/02_finetune_new_observation_action.py)    | Minimal example for finetuning a pre-trained OCTO models on a small dataset with new observation + action space |
-| [OCTO Rollout](examples/03_eval_finetuned.py)                        | Run a rollout of a pre-trained OCTO policy in a Gym environment                                                 |
-| [OCTO Robot Eval](examples/04_eval_finetuned_on_robot.py)            | Evaluate a pre-trained OCTO model on a real WidowX robot                                                        |
-| [OpenX Dataloader Intro](examples/05_dataloading.ipynb)              | Walkthrough of the features of our Open X-Embodiment data loader                                                |
-| [OpenX PyTorch Dataloader](examples/06_pytorch_oxe_dataloader.ipynb) | Standalone Open X-Embodiment data loader in PyTorch                                                             |
+| [OCTO Inference](01_inference_pretrained.ipynb)             | Minimal example for loading and inferencing a pre-trained OCTO model                                            |
+| [OCTO Finetuning](02_finetune_new_observation_action.py)    | Minimal example for finetuning a pre-trained OCTO models on a small dataset with new observation + action space |
+| [OCTO Rollout](03_eval_finetuned.py)                        | Run a rollout of a pre-trained OCTO policy in a Gym environment                                                 |
+| [OCTO Robot Eval](04_eval_finetuned_on_robot.py)            | Evaluate a pre-trained OCTO model on a real WidowX robot                                                        |
+| [OpenX Dataloader Intro](05_dataloading.ipynb)              | Walkthrough of the features of our Open X-Embodiment data loader                                                |
+| [OpenX PyTorch Dataloader](06_pytorch_oxe_dataloader.py) | Standalone Open X-Embodiment data loader in PyTorch                                                             |