OpenMOSS
Datasets
All datasets matching “OpenMOSS”OmniAction
RoboOmni: Proactive Robot Manipulation in Omni-modal Context
📖 arXiv Paper (Accepted to ICLR 2026 🎉) |
🌐 Website |
🤗 Model |
🤗 Dataset |
🛠️ Github |
Recent advances in Multimodal Large Language Models (MLLMs) have driven rapid progress in Vision–Language–Action (VLA) models for robotic manipulation. Although effective in many scenarios, current approaches largely rely on explicit instructions, whereas in real-world interactions, humans rarely issue… See the full description on the dataset page: https://huggingface.co/datasets/OpenMOSS-Team/OmniAction.OmniAction-LIBERO
RoboOmni: Proactive Robot Manipulation in Omni-modal Context
📖 arXiv Paper (Accepted to ICLR 2026 🎉) |
🌐 Website |
🤗 Model |
🤗 Dataset |
🛠️ Github |
Recent advances in Multimodal Large Language Models (MLLMs) have driven rapid progress in Vision–Language–Action (VLA) models for robotic manipulation. Although effective in many scenarios, current approaches largely rely on explicit instructions, whereas in real-world interactions, humans rarely issue… See the full description on the dataset page: https://huggingface.co/datasets/OpenMOSS-Team/OmniAction-LIBERO.OmniAction-LIBERO-evalSWE-bench-Science
SWE-bench Science
SWE-bench Science evaluates coding agents on software-engineering tasks drawn from scientific-computing repositories. The release contains 119 tasks across 20 scientific domains, with isolated environments and separate programmatic verifiers.
GitHub release repository: OpenMOSS/SWE-bench-Science
Runtime images: Docker Hub, pinned by immutable linux/amd64 digests
Evaluation framework: Pier, compatible with Harbor task format
Dataset Summary… See the full description on the dataset page: https://huggingface.co/datasets/OpenMOSS-Team/SWE-bench-Science.robocasa365-lerobot-v3.0
RoboCasa365 LeRobot v3.0
This dataset packages the RoboCasa365 pretraining demonstrations used by EasyWAM in LeRobot v3.0 format. It includes the atomic and composite pretraining corpora with synchronized multi-view RGB video, robot state, actions, rewards, termination flags, and task annotations.
Dataset Summary
Subset
Episodes
Frames
Tasks
Pretrain Atomic
7,356
1,495,313
617
Pretrain Composite
24,687
27,610,913
4,428
Total
32,043
29,106,226
5,045… See the full description on the dataset page: https://huggingface.co/datasets/OpenMOSS-Team/robocasa365-lerobot-v3.0.robotwin2.0-lerobot-v3.0
RoboTwin 2.0 LeRobot v3.0
This dataset packages RoboTwin 2.0 bimanual-manipulation demonstrations in LeRobot v3.0 format for EasyWAM training. Clean and randomized demonstrations are stored as two independent datasets so they can be trained separately or combined. Both contain synchronized high-view and dual-wrist RGB video, bimanual joint state, actions, and natural-language task metadata.
Dataset Summary
Split
Episodes
Frames
Videos
Recording rate… See the full description on the dataset page: https://huggingface.co/datasets/OpenMOSS-Team/robotwin2.0-lerobot-v3.0.