04
Dataset Audit and Repair
“Our research engineers are spending their time fixing data instead of training models.”
- What we do
- We measure what's wrong in an existing dataset (empty, wrong, inconsistent or duplicate data), repair it, and tell you which sources cause it.
- What you receive
- The repaired dataset plus an audit report with error rates by source and type.
Interactive sample · before and after on a real repair run of 900 frames
Clean-up run · 3 raw kitchen clips · 900 frames
478 kept332 near-duplicate90 blur / transition
frame 01-f0001brightness 181.3sharpness 209.3verdictblur / transition
Real run on our raw clips: 478 of 900 frames worth training on. Hover a tile to read its log row. See our audit of a public LeRobot dataset →