Update README.md

README.md

@@ -7,4 +7,4 @@ base_model:
 This repository contains [OpenVLA](https://huggingface.co/openvla/openvla-7b) and [Octo](https://huggingface.co/rail-berkeley/octo-base) checkpoints fine-tuned on tele-op and RL generated datasets for the Connctor Insertion task in the paper [RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning
 ](https://generalist-distillation.github.io/). 
 
-Each model is trained on 45 episodes either collected by human tele-operation or rolling out converged RL policies. Each dataset contains 15 episodes for a VGA connector, 15 episodes for a USB-A connector, and 15 episodes for a ethernet connector. The models take 1 wrist camera and 1 language command as input, and outputs a 6D end-effector twist expressed in the wrist frame.
+Each model is trained on 45 episodes either collected by human tele-operation or rolling out converged RL policies. Each dataset contains 15 episodes for a VGA connector, 15 episodes for a USB-A connector, and 15 episodes for an ethernet connector. The models take 1 wrist camera and 1 language command as input, and outputs a 6D end-effector twist expressed in the wrist frame.