Dataset · Hugging Face

NeoteAIEmbodied/OpenNeoData

Name: OpenNeoData
Creator: NeoteAIEmbodied
License: cc-by-nc-sa-4.0
Keywords: task_categories:robotics, language:en, license:cc-by-nc-sa-4.0, size_categories:100K<n<1M, region:us, robotics, robot-manipulation, imitation-learning, embodied-ai, lerobot, real-world, dual-arm, tactile-sensing

OpenNeoData OpenNeoData is a large-scale real-world robot manipulation dataset: 200k+ trajectories / 5,000+ hours collected on 6 embodiments — five fixed-arm robot platforms and two handheld UMI device families — with wrist-mounted visuotactile sensing on every embodiment. All data is released in LeRobot v3.0 format, one sub-dataset per embodiment, dual-hosted on Hugging Face and ModelScope. Key Features 🔑 200k+ trajectories from 6 embodiments, with a total… See the full description on the dataset page: https://huggingface.co/datasets/NeoteAIEmbodied/OpenNeoData.

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Author / organization	NeoteAIEmbodied
License (as declared)	cc-by-nc-sa-4.0
Downloads	51.4K (as reported by Hugging Face)
Likes	29
Created	15 July 2026
Last updated at source	27 July 2026

roboticsrobot-manipulationimitation-learningembodied-ailerobotreal-worlddual-armtactile-sensing

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