nvidia/GR00T-N1-2B
Robotics
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Updated
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128
Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code: RetryableConfigNamesError
Exception: HfHubHTTPError
Message: 504 Server Error: Gateway Time-out for url: https://huggingface.co/api/datasets/nvidia/PhysicalAI-Robotics-GR00T-X-Embodiment-Sim/tree/acddc3b9a789133badc7147266bc1d987a0e74cc?recursive=True&expand=False&cursor=ZXlKbWFXeGxYMjVoYldVaU9pSmlhVzFoYm5WaGJGOXdZVzVrWVY5bmNtbHdjR1Z5TGxSb2NtVmhaR2x1Wnk5MmFXUmxiM012WTJoMWJtc3RNREF3TDI5aWMyVnlkbUYwYVc5dUxtbHRZV2RsY3k1bWNtOXVkRjkyYVdWM0wyVndhWE52WkdWZk1EQXdNVGt6TG0xd05DSjk6MjAwMA%3D%3D
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
config_names = get_dataset_config_names(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 165, in get_dataset_config_names
dataset_module = dataset_module_factory(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1663, in dataset_module_factory
raise e1 from None
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1620, in dataset_module_factory
return HubDatasetModuleFactoryWithoutScript(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1017, in get_module
patterns = get_data_patterns(base_path, download_config=self.download_config)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/data_files.py", line 474, in get_data_patterns
return _get_data_files_patterns(resolver)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/data_files.py", line 285, in _get_data_files_patterns
data_files = pattern_resolver(pattern)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/data_files.py", line 361, in resolve_pattern
for filepath, info in fs.glob(pattern, detail=True, **glob_kwargs).items()
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 521, in glob
return super().glob(path, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 604, in glob
allpaths = self.find(root, maxdepth=depth, withdirs=True, detail=True, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 563, in find
out = self._ls_tree(path, recursive=True, refresh=refresh, revision=resolved_path.revision, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 446, in _ls_tree
self._ls_tree(
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 463, in _ls_tree
for path_info in tree:
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 3028, in list_repo_tree
for path_info in paginate(path=tree_url, headers=headers, params={"recursive": recursive, "expand": expand}):
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_pagination.py", line 46, in paginate
hf_raise_for_status(r)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_http.py", line 477, in hf_raise_for_status
raise _format(HfHubHTTPError, str(e), response) from e
huggingface_hub.errors.HfHubHTTPError: 504 Server Error: Gateway Time-out for url: https://huggingface.co/api/datasets/nvidia/PhysicalAI-Robotics-GR00T-X-Embodiment-Sim/tree/acddc3b9a789133badc7147266bc1d987a0e74cc?recursive=True&expand=False&cursor=ZXlKbWFXeGxYMjVoYldVaU9pSmlhVzFoYm5WaGJGOXdZVzVrWVY5bmNtbHdjR1Z5TGxSb2NtVmhaR2x1Wnk5MmFXUmxiM012WTJoMWJtc3RNREF3TDI5aWMyVnlkbUYwYVc5dUxtbHRZV2RsY3k1bWNtOXVkRjkyYVdWM0wyVndhWE52WkdWZk1EQXdNVGt6TG0xd05DSjk6MjAwMA%3D%3DNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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 |
| bimanual_panda_gripper.Transport | 1000 |
| bimanual_panda_hand.BoxCleanup | 1000 |
| bimanual_panda_hand.DrawerCleanup | 1000 |
| gr1_arms_only.CanSort | 1000 |
| gr1_full_upper_body.Coffee | 1000 |
| gr1_full_upper_body.Pouring | 1000 |
Humanoid robot tabletop manipulation: 240k trajectories
| Dataset Name | #trajectories |
|---|---|
| gr1_arms_waist.CanToDrawer | 10000 |
| gr1_arms_waist.CupToDrawer | 10000 |
| gr1_arms_waist.CuttingboardToBasket | 10000 |
| gr1_arms_waist.CuttingboardToCardboardBox | 10000 |
| gr1_arms_waist.CuttingboardToPan | 10000 |
| gr1_arms_waist.CuttingboardToPot | 10000 |
| gr1_arms_waist.CuttingboardToTieredBasket | 10000 |
| gr1_arms_waist.PlaceBottleToCabinet | 10000 |
| gr1_arms_waist.PlaceMilkToMicrowave | 10000 |
| gr1_arms_waist.PlacematToBasket | 10000 |
| gr1_arms_waist.PlacematToBowl | 10000 |
| gr1_arms_waist.PlacematToPlate | 10000 |
| gr1_arms_waist.PlacematToTieredShelf | 10000 |
| gr1_arms_waist.PlateToBowl | 10000 |
| gr1_arms_waist.PlateToCardboardBox | 10000 |
| gr1_arms_waist.PlateToPan | 10000 |
| gr1_arms_waist.PlateToPlate | 10000 |
| gr1_arms_waist.PotatoToMicrowave | 10000 |
| gr1_arms_waist.TrayToCardboardBox | 10000 |
| gr1_arms_waist.TrayToPlate | 10000 |
| gr1_arms_waist.TrayToPot | 10000 |
| gr1_arms_waist.TrayToTieredBasket | 10000 |
| gr1_arms_waist.TrayToTieredShelf | 10000 |
| gr1_arms_waist.WineToCabinet | 10000 |
Robot Arm Kitchen Manipulation: 72K trajectories
| Dataset Name | #trajectories |
|---|---|
| single_panda_gripper.CloseDoubleDoor | 3000 |
| single_panda_gripper.CloseDrawer | 3000 |
| single_panda_gripper.CloseSingleDoor | 3000 |
| single_panda_gripper.CoffeePressButton | 3000 |
| single_panda_gripper.CoffeeServeMug | 3000 |
| single_panda_gripper.CoffeeSetupMug | 3000 |
| single_panda_gripper.OpenDoubleDoor | 3000 |
| single_panda_gripper.OpenDrawer | 3000 |
| single_panda_gripper.OpenSingleDoor | 3000 |
| single_panda_gripper.PnPCabToCounter | 3000 |
| single_panda_gripper.PnPCounterToCab | 3000 |
| single_panda_gripper.PnPCounterToMicrowave | 3000 |
| single_panda_gripper.PnPCounterToSink | 3000 |
| single_panda_gripper.PnPCounterToStove | 3000 |
| single_panda_gripper.PnPMicrowaveToCounter | 3000 |
| single_panda_gripper.PnPSinkToCounter | 3000 |
| single_panda_gripper.PnPStoveToCounter | 3000 |
| single_panda_gripper.TurnOffMicrowave | 3000 |
| single_panda_gripper.TurnOffSinkFaucet | 3000 |
| single_panda_gripper.TurnOffStove | 3000 |
| single_panda_gripper.TurnOnMicrowave | 3000 |
| single_panda_gripper.TurnOnSinkFaucet | 3000 |
| single_panda_gripper.TurnOnStove | 3000 |
| single_panda_gripper.TurnSinkSpout | 3000 |
Download the dataset from Huggingface
Users can download a specific subset of data by specifying the dataset name.
huggingface-cli download nvidia/PhysicalAI-Robotics-GR00T-X-Embodiment-Sim \
--repo-type dataset \
--include "gr1_arms_only.CanSort/**" \
--local-dir $HOME/gr00t_dataset
Replace gr1_arms_only.CanSort/** with the dataset name you want to download.
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Models trained or fine-tuned on nvidia/PhysicalAI-Robotics-GR00T-X-Embodiment-Sim