Hand data, ready to load.

Watch a real glove recording from our lab, then download it and try it in your own pipeline.

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Fig. 1Right hand, 25 joints, 28 seconds. CSV · 1.9 MB Download sample
What's in the file
  • Joints25 (wrist + 24 finger)
  • Channels per frame367
  • Sample rate60 Hz
  • Frames · duration1,676 · 27.9 s
  • Signalsposition · rotation · velocity · acceleration · flex/spread · pinch
  • Position unitscm (inferred)
  • RotationsEuler, degrees
  • FormatCSV, gzip

Full column list (README)

Caveats

The export didn't record its units. The positions are read as centimetres because that's the only unit where the bone lengths make sense.

This take has no wrist orientation, so the positions are in a hand-local frame.

The capture software derives the velocity and acceleration columns itself. If you need them, recompute them from the positions.

The viewer plays at 30 fps, downsampled from 60 Hz.

Takes
  • Take 01Right hand · 60 Hz · 27.9 sReleased
  • Take 02Two-hand takeRelease pending

More data

Tactile glove data

Hand pose plus fingertip pressure, recorded with the RC G1 tactile glove. Quote on request.

Ask for a quote

Sample datasets

Short robot-hand episodes, free. Coming Oct 2026.

Get notified

Cross-embodiment corpus

The same tasks, recorded on several hands.

Join the waitlist

Custom collection

Your task, recorded in our SF lab.

Commission a collection
Details on each offer

Tactile glove data (quote on request). Recordings of human hand demonstrations with the RC G1 tactile glove: hand pose plus fingertip pressure.

Failure sets (quote on request). Episodes where the hand or policy failed, labelled with how it failed.

Sample datasets (coming Oct 2026). A free download of short dexterous-hand episodes, so you can test our format in your own loader.

Cross-embodiment corpus (v1 in preparation). The same tasks recorded on several different robot hands, so you can train and compare across embodiments.

Custom collection (quote on request). Teleop data collected in our SF facility to your task spec, on our hands or yours. You own the data.

Custom collection: what to tell us

Copy this into your email, or use the button and it's already filled in.

Cameras (count, RGB or RGB-D):
Episodes per task:
Number of tasks:
Embodiments (arm + hand):
Environment:
Delivery format (LeRobot v2 / v3, or MCAP):
Timeline:

Email us this spec

How we deliver

We check every episode, add 3D hand pose, cut episodes into task segments and label them, then deliver as LeRobot (v2.0/v2.1/v3.0) or ROS 2 MCAP.

Every dataset comes with its licence terms in writing. See the hands and gloves we collect on.