nvidia/PhysicalAI-Robotics-GR00T-X-Embodiment-Sim
PhysicalAI-Robotics-GR00T-X-Embodiment-Sim Github Repo: Isaac GR00T N1 We provide a set of datasets used for post-training of GR00T N1. Each dataset is a collection of trajectories from different robot embodiments and tasks. Cross-embodied bimanual manipulation: 9k trajectories Dataset Name #trajectories bimanual_panda_gripper.Threading 1000 bimanual_panda_hand.LiftTray 1000 bimanual_panda_gripper.ThreePieceAssembly 1000… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/PhysicalAI-Robotics-GR00T-X-Embodiment-Sim.
PhysicalAI-Robotics-GR00T-X-Embodiment-Sim

Github Repo: Isaac GR00T N1
We provide a set of datasets used for post-training of GR00T N1. Each dataset is a collection of trajectories from different robot embodiments and tasks.
Cross-embodied bimanual manipulation: 9k trajectories
Humanoid robot tabletop manipulation: 240k trajectories
Humanoid robot tabletop manipulation - downsampled: 24k trajectories
Robot Arm Kitchen Manipulation: 72K trajectories
Unitree G1 Loco-Manipulation: 102 trajectories
Download the dataset from Huggingface
Users can download a specific subset of data by specifying the dataset name.
- Option 1: with
huggingface-cli
huggingface-cli download nvidia/PhysicalAI-Robotics-GR00T-X-Embodiment-Sim \
--repo-type dataset \
--include "gr1_arms_only.CanSort/**" \
--local-dir $HOME/gr00t_datasetReplace `gr1_arms_only.CanSort/` with the dataset name you want to download.**
- Option 2: Github LFS
# Clone the repo without downloading files
git clone --filter=blob:none --no-checkout https://huggingface.co/datasets/nvidia/PhysicalAI-Robotics-GR00T-X-Embodiment-Sim
cd PhysicalAI-Robotics-GR00T-X-Embodiment-Sim
# Configure sparse-checkout for just your folder
git sparse-checkout init --cone
git sparse-checkout set gr1_arms_waist.CupToDrawer << Select the specific dataset to downloadReplace the "gr1armswaist.CupToDrawer" with the intended dataset folder
