Commercial training data from specialist providers. Listings show what each source advertises; licensing is confirmed with the provider before any agreement.
This dataset contains synchronized 4-camera bimanual hand-held FastUMI demonstrations covering a variety of egocentric robotic manipulation tasks — Jenga, Candles,…
Multi-view humanoid teleoperation demonstrations of a cluttered-bin pick-and-place manipulation task, captured on a Unitree G1 robot operated by a human teleoperator.
This dataset contains 8 single-camera egocentric household-activity demonstrations captured on head-mounted camera(no robot involved).
This dataset contains 10 multi-view egocentric household-activity demonstrations captured on head-mounted stereo camera and wrist cameras (no robot involved).
The dataset includes corporate meetings with video, audio, transcripts, meeting metadata, action items, and recaps.
Egocentric, multi-view human demonstrations of data-center / IT-infrastructure manipulation activities, captured with a FastUMI handheld egocentric rig (Universal…
A single continuous egocentric demonstration of a person opening a cardboard box with a utility knife and unpacking its contents.
A single continuous egocentric demonstration of a person painting a window trim with a brush on an outdoor building exterior — loading the brush, applying paint along…
Multi-view humanoid teleoperation demonstrations of a contact-rich press-and-release manipulation task, captured on a Unitree G1 robot operated by a human teleoperator.
A single continuous egocentric demonstration of a person setting a round dining table — laying out plates, bowls and cutlery.
A single continuous egocentric demonstration of a person unpacking and assembling a camera tripod — removing it from its bag, extending and locking the legs, and…
What this dataset is the provider licenses real job interview recordings captured on its own AI interviewer platform, used by 4,000+ companies.
A single continuous egocentric demonstration of a person wrapping a gift — handling wrapping paper, tape and scissors on a work surface.
Off-the-shelf manipulation datasets rarely match the exact task, objects, or environment your policy needs.
Azimov is egocentric (first-person) data recorded by trained professionals doing their actual jobs on live, operating sites.
This dataset contains ~20-second episodes of a person naturally folding cloth, captured by the provider’s wrist-worn AI smartwatch.
TranscriptDB is the full YouTube transcript firehose, built for systematic hedge funds with in-house NLP capacity and AI labs training foundation models.
A collection of real-world 3d captures (lidar, photogrammetry, and drone), paired with 3d geometry and, on a curated subset, multi-view imagery with per-frame camera…
Two-speaker spontaneous conversations on everyday topics, collected on demand from our 1.2M+ global users across 180 countries.
Two-speaker spontaneous conversations on everyday topics, collected on demand from our 1.2M+ global users across 180 countries.
A dataset consisting of AI-generated videos sampled at 1fps with frame-level scene description captions.
A voice command dataset for instructing robots or automated equipment in manufacturing, logistics, and industrial environments.
A video dataset of Pick-Place-Recover actions using various objects in everyday environments for Physical AI model training.
A video dataset collected for training Physical AI models in manufacturing environments.