Records
10
HF AUTHOR CLUSTER
10 robotics-tagged HF records from InternRobotics, totaling 325,043 cumulative downloads. Some records cite published arxiv research.
DIRECT ANSWER
Author clusters consolidate every record from one publisher into a single buyer-review surface. InternRobotics ships 10 robotics datasets on Hugging Face. Top license: not specified. Of those, 9 get a full standalone page, 0 get a shorter profile, and 1 are folded into this cluster.
10
325,043
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DATASETS
10 of 10 datasets
Published Apr 2026 · cc-by-nc-sa-4.0 · InternRobotics
[ICLR 2026] OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling 🎉NEWS [2026.3.21] 🔥 OmniWorld-Game with Metric Scale is now released!
Published Feb 2026 · cc-by-sa-4.0 · InternRobotics
InternData-N1 InternData-N1 is a large-scale, unified vision-language navigation dataset consolidating multiple benchmarks into a standardized format.
Published Mar 2026 · not specified · InternRobotics
InternData-A1 InternData-A1 is a hybrid synthetic-real manipulation dataset containing over 630k trajectories and 7,433 hours across 4 embodiments, 18 skills, 70 tasks, and 227 scenes, covering rigid, articulated, deformable, and…
Published Feb 2026 · not specified · InternRobotics
InternScenes InternScenes is a large-scale interactive indoor scene dataset with realistic layouts. This dataset comprises approximately 40,000 diverse scenes and 1.96M 3D objects that cover 15 common scene types and 288 object classes,…
Published Apr 2026 · apache-2.0 · InternRobotics
Sim1_Dataset LeRobot-format manipulation dataset for cloth folding / deformable object tasks. Format This repository follows a LeRobot-style layout per subset: data/chunk-xxx/episode_XXXXXX.parquet: frame-level trajectories…
Published Dec 2025 · not specified · InternRobotics
InternData-M1 InternData-M1 is a comprehensive embodied robotics dataset containing 244K simulation demonstrations with rich frame-based information including 2D/3D boxes, trajectories, grasp points, and semantic masks, with comprehensive…
Published Feb 2026 · not specified · InternRobotics
RoboInter-Data: Intermediate Representation Annotations for Robot Manipulation Rich, dense, per-frame intermediate representation annotations for robot manipulation, built on top of DROID and RH20T.
Published Sep 2025 · not specified · InternRobotics
MesaTask: Towards Task-Driven Tabletop Scene Generation via 3D Spatial Reasoning 🔑Key Features MesaTask-10K, a large-scale dataset for task-oriented tabletop scene generation, comprises approximately 10,700 synthetic tabletop scenes…
Published Feb 2026 · not specified · InternRobotics
RobotInter-VQA: Intermediate Representation Understanding & Generation VQA Dataset for Manipulation English | 简体中文 A Visual Question Answering dataset for robotic manipulation, developed as part of the RoboInter, covering generation,…
Published Mar 2026 · cc-by-nc-sa-4.0 · InternRobotics
Viewer is explicitly configured to read the parquet split only. Citation If you find this dataset useful, please cite: @article{zhao2026SythnVerse, title={SynthVerse: A Large-Scale Diverse Synthetic Dataset for Point Tracking},…
KEEP DIGGING
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.
TRUELABEL ROUTING
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.