Update repo names to *_lerobot_v3 in cross-links

README.md

@@ -9,7 +9,7 @@ tags:
   - imitation-learning
 pipeline_tag: robotics
 datasets:
-  - Bigenlight/banana_in_pot
+  - Bigenlight/banana_in_pot_lerobot_v3
 ---
 
 # ACT — Put the right banana in the pot (UR7e)
@@ -20,7 +20,7 @@ arm with two RGB cameras.
 
 - **Policy:** ACT (Transformer encoder–decoder with a CVAE), **ResNet18** vision backbone
   (ImageNet-pretrained), `chunk_size = 100`, `n_action_steps = 100`.
-- **Trained on:** [`Bigenlight/banana_in_pot`](https://huggingface.co/datasets/Bigenlight/banana_in_pot)
+- **Trained on:** [`Bigenlight/banana_in_pot_lerobot_v3`](https://huggingface.co/datasets/Bigenlight/banana_in_pot_lerobot_v3)
   (51 teleoperated episodes / 21,524 frames, UR7e follower + GELLO leader, 2 cameras).
 - **Training length:** 50,000 steps, batch size 8, AdamW `lr = 1e-5` (constant).
 - **Framework:** [LeRobot](https://github.com/huggingface/lerobot) v0.6.1.
@@ -153,7 +153,7 @@ lerobot inference/normalization code paths) is in the project's `DEPLOY_UR.md`.
 
 ## Related repositories
 
-- **Dataset:** [`Bigenlight/banana_in_pot`](https://huggingface.co/datasets/Bigenlight/banana_in_pot)
+- **Dataset:** [`Bigenlight/banana_in_pot_lerobot_v3`](https://huggingface.co/datasets/Bigenlight/banana_in_pot_lerobot_v3)
 - **HIL-SERL prep bundle** (reward classifier, SAC config, runbook) for taking this task
   online with reinforcement learning:
   [`Bigenlight/banana_in_pot_hilserl`](https://huggingface.co/Bigenlight/banana_in_pot_hilserl)