Records
37
HF AUTHOR CLUSTER
unitreerobotics robotics datasets
37 robotics-tagged HF records from unitreerobotics, totaling 35,113 cumulative downloads. Some records cite published arxiv research.
DIRECT ANSWER
Author clusters consolidate every record from one publisher into a single buyer-review surface. unitreerobotics ships 37 robotics datasets on Hugging Face. Top license: apache-2.0. Tier breakdown: 37 indexable as Tier A, 0 as Tier B, 0 demoted (those URLs redirect here).
Cumulative downloads
35,113
Top license
apache-2.0
DATASETS
All 37 robotics records from unitreerobotics
37 of 37 datasets
G1_WBT_Brainco_Collect_Plates_Into_Dishwasher
2,347 downloads · apache-2.0
Data Structure Observations observation.state.ee_state (12) End-effector states of the robot. Computed via forward kinematics (FK) from the root link to the left and right end-effectors. Includes the
G1_Dex3_ToastedBread_Dataset
2,059 downloads · apache-2.0
This dataset was created using LeRobot. Due to the inability to precisely describe spatial positions, adjust the scene to closely match the first frame of the dataset after installing the hardware as
G1_WBT_Inspire_Put_Clothes_into_Washing_Machine
1,999 downloads · apache-2.0
Data Structure Observations observation.state.ee_state (12) End-effector states of the robot. Computed via forward kinematics (FK) from the root link to the left and right end-effectors. Includes the
G1_WBT_Brainco_Pickup_Pillow
1,855 downloads · apache-2.0
Data Structure Observations observation.state.ee_state (12) End-effector states of the robot. Computed via forward kinematics (FK) from the root link to the left and right end-effectors. Includes the
G1_Dex1_Pack_PingPong
1,476 downloads · apache-2.0
This dataset was created using LeRobot. Due to the inability to precisely describe spatial positions, adjust the scene to closely match the first frame of the dataset after installing the hardware as
G1_Dex1_Fold_Towel
1,419 downloads · apache-2.0
This dataset was created using LeRobot. Due to the inability to precisely describe spatial positions, adjust the scene to closely match the first frame of the dataset after installing the hardware as
G1_WBT_Inspire_Put_Clothes_Into_Basket
1,395 downloads · apache-2.0
Data Structure Observations observation.state.ee_state (12) End-effector states of the robot. Computed via forward kinematics (FK) from the root link to the left and right end-effectors. Includes the
G1_Dex1_Stack_Block
1,343 downloads · apache-2.0
This dataset was created using LeRobot. Due to the inability to precisely describe spatial positions, adjust the scene to closely match the first frame of the dataset after installing the hardware as
G1_Dex1_Pack_PencilBox
1,316 downloads · apache-2.0
This dataset was created using LeRobot. Due to the inability to precisely describe spatial positions, adjust the scene to closely match the first frame of the dataset after installing the hardware as
G1_Dex1_Erase_Board
1,277 downloads · apache-2.0
This dataset was created using LeRobot. Due to the inability to precisely describe spatial positions, adjust the scene to closely match the first frame of the dataset after installing the hardware as
G1_Dex1_Clean_Table
1,220 downloads · apache-2.0
This dataset was created using LeRobot. Due to the inability to precisely describe spatial positions, adjust the scene to closely match the first frame of the dataset after installing the hardware as
G1_WBT_Inspire_Collect_Clothes_MainCamOnly
1,143 downloads · apache-2.0
Data Structure Observations observation.state.ee_state (12) End-effector states of the robot. Computed via forward kinematics (FK) from the root link to the left and right end-effectors. Includes the
G1_Dex1_DualRobot_Clean_Table
1,098 downloads · apache-2.0
This dataset was created using LeRobot. Due to the inability to precisely describe spatial positions, adjust the scene to closely match the first frame of the dataset after installing the hardware as
G1_WBT_Brainco_Make_The_Bed
1,002 downloads · apache-2.0
Data Structure Observations observation.state.ee_state (12) End-effector states of the robot. Computed via forward kinematics (FK) from the root link to the left and right end-effectors. Includes the
G1_Dex1_Bag_Insert
1,000 downloads · apache-2.0
This dataset was created using LeRobot. Due to the inability to precisely describe spatial positions, adjust the scene to closely match the first frame of the dataset after installing the hardware as
G1_WBT_Inspire_Pickup_Pillow_MainCamOnly
998 downloads · apache-2.0
Data Structure Observations observation.state.ee_state (12) End-effector states of the robot. Computed via forward kinematics (FK) from the root link to the left and right end-effectors. Includes the
G1_Dex1_Wipe_Table
989 downloads · apache-2.0
This dataset was created using LeRobot. Due to the inability to precisely describe spatial positions, adjust the scene to closely match the first frame of the dataset after installing the hardware as
G1_Dex1_Pour_Medicine
867 downloads · apache-2.0
This dataset was created using LeRobot. Due to the inability to precisely describe spatial positions, adjust the scene to closely match the first frame of the dataset after installing the hardware as
G1_Dex1_Organize_Tools
802 downloads · apache-2.0
This dataset was created using LeRobot. Due to the inability to precisely describe spatial positions, adjust the scene to closely match the first frame of the dataset after installing the hardware as
G1_Dex1_MountCameraRedGripper_Dataset
796 downloads · apache-2.0
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v2.1", "robot_type": "Unitree_G1_Gripper", "total_episodes": 201, "total_frames": 172649, "total_tasks"
G1_Dex1_DiverseManip_DualArm_128x128
736 downloads · apache-2.0
This dataset was created using LeRobot. Important Notes: This is a G1 diversity dataset that can be used for video generation models, world models, and other applications [Lee et al., 2018]. If you wa
G1_WBT_Inspire_Put_Clothes_into_Washing_Machine_MainCamOnly
687 downloads · apache-2.0
Data Structure Observations observation.state.ee_state (12) End-effector states of the robot. Computed via forward kinematics (FK) from the root link to the left and right end-effectors. Includes the
G1_Dex3_BlockStacking_Dataset
679 downloads · apache-2.0
This dataset was created using LeRobot. Due to the inability to precisely describe spatial positions, adjust the scene to closely match the first frame of the dataset after installing the hardware as
G1_WBT_Inspire_Put_Vegetables_Into_Basket
641 downloads · apache-2.0
Data Structure Observations observation.state.ee_state (12) End-effector states of the robot. Computed via forward kinematics (FK) from the root link to the left and right end-effectors. Includes the
Z1_Dual_Dex1_StackBox_Dataset_V2
638 downloads · apache-2.0
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v2.1", "robot_type": "Unitree_Z1_Dual", "total_episodes": 254, "total_frames": 178104, "total_tasks": 1
G1_Dex1_Prepare_Fruit
634 downloads · apache-2.0
This dataset was created using LeRobot. Due to the inability to precisely describe spatial positions, adjust the scene to closely match the first frame of the dataset after installing the hardware as
G1_Brainco_GraspOreo_Dataset
496 downloads · apache-2.0
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v2.1", "robot_type": "Unitree_G1_Brainco", "total_episodes": 201, "total_frames": 234959, "total_tasks"
G1_Dex3_ObjectPlacement_Dataset
491 downloads · apache-2.0
This dataset was created using LeRobot. Due to the inability to precisely describe spatial positions, adjust the scene to closely match the first frame of the dataset after installing the hardware as
G1_WBT_Inspire_Put_Drinks_Into_Fridge
481 downloads · apache-2.0
Data Structure Observations observation.state.ee_state (12) End-effector states of the robot. Computed via forward kinematics (FK) from the root link to the left and right end-effectors. Includes the
G1_Dex1_DiverseManip_DualArm_256x256
476 downloads · apache-2.0
This dataset was created using LeRobot. Important Notes: This is a G1 diversity dataset that can be used for video generation models, world models, and other applications [Lee et al., 2018]. If you wa
G1_Dex1_DiverseManip_SingleArm_128x128
458 downloads · apache-2.0
This dataset was created using LeRobot. Important Notes: This is a G1 diversity dataset that can be used for video generation models, world models, and other applications [Lee et al., 2018]. If you wa
Z1_StackBox_Dataset
457 downloads · apache-2.0
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v2.1", "robot_type": "Unitree_Z1_Single", "total_episodes": 1265, "total_frames": 989335, "total_tasks"
G1_Dex3_GraspSquare_Dataset
410 downloads · apache-2.0
This dataset was created using LeRobot. Due to the inability to precisely describe spatial positions, adjust the scene to closely match the first frame of the dataset after installing the hardware as
G1_WBT_Dex1_Put_Clothes_into_Washing_Machine
394 downloads · apache-2.0
Data Structure Observations observation.state.ee_state (12) End-effector states of the robot. Computed via forward kinematics (FK) from the root link to the left and right end-effectors. Includes the
G1_Dex1_MountCamera_Dataset
381 downloads · apache-2.0
This dataset was created using LeRobot. Due to the inability to precisely describe spatial positions, adjust the scene to closely match the first frame of the dataset after installing the hardware as
G1_Brainco_GraspRubiksCube_Dataset
333 downloads · apache-2.0
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v2.1", "robot_type": "Unitree_G1_Brainco", "total_episodes": 197, "total_frames": 220788, "total_tasks"
G1_Dex3_CameraPackaging_Dataset
320 downloads · apache-2.0
This dataset was created using LeRobot. Due to the inability to precisely describe spatial positions, adjust the scene to closely match the first frame of the dataset after installing the hardware as
RESEARCH PATHS
Use this record as part of a broader dataset review
A dataset record is only useful when it connects into the rest of the buyer workflow. The next review step is usually not another summary; it is a fit check, rights triage, source comparison, or custom bounty spec that names the missing proof.
For physical AI teams, the hard question is whether the public source can support a specific model objective under real deployment constraints. That requires adjacent dataset records, tools, comparisons, and sourcing paths, plus external references that a reviewer can open and challenge.
Use the links below to keep the review grounded. Start broad when discovery is incomplete, move into profile and comparison pages when the candidate source is known, and switch to custom collection when the blocker is rights, consent, geography, robot embodiment, or target environment coverage.
INTERNAL LINKS
Continue the buyer workflow
Physical AI dataset catalog
Use the catalog to compare source-backed dataset profiles by modality, task, rights signal, consent risk, and deployment fit.
Hugging Face robotics index
Scan the broader robotics dataset surface before narrowing into promoted profiles, comparisons, and custom collection specs.
Dataset changelog
Track source updates, licensing notes, and buyer-readiness changes that should trigger a renewed review.
Dataset fit checker
Score whether a public source is enough for the model, rights path, modalities, and target environment.
License risk checker
Separate source license language from contributor consent, redistribution, private-space risk, and model-use assumptions.
Data spec generator
Turn a public-source gap into a scoped capture request with sample QA, metadata, and delivery requirements.
Vendor alternatives hub
Compare data providers when the answer is not another public dataset but a better sourcing or capture route.
Data annotation companies
Use the company index to separate annotation vendors, data engines, marketplaces, and specialist capture teams.
EXTERNAL REFERENCES
Source context to verify
Scale AI physical AI data engine
Market context for why physical AI systems need custom, enriched, real-world data beyond generic labeling workflows.
LeRobot documentation
Robotics dataset and tooling context for Hugging Face based collection, sharing, conversion, and training workflows.
Open X-Embodiment
A cross-embodiment robotics dataset reference for comparing trajectory scale, robot diversity, and VLA training assumptions.
DROID dataset
A large in-the-wild robot manipulation dataset reference for real-world trajectory capture and deployment transfer risk.
TRUELABEL ROUTING
Need data like unitreerobotics ships, but with cleaner rights?
If the Hub records don't carry the license, consent, or deployment fit your team needs, commission a custom collection on the same modality with explicit commercial terms.