EI-30k
Mixed human and robot pretraining corpus described with LDA-1B.
Identity and state
- Described as a LeRobot-format corpus Partial openness · reviewed 2026-08-26
Reviewed relationships
| State | Related entity | Relation | Scope | Boundary |
|---|---|---|---|---|
| Verified | ← LDA-1B | trained on | world-action pretraining corpus | EI-30k is the mixed human and robot corpus used with LDA-1B. |
| Claimed | → LeRobotDataset | uses format | corpus packaging | The LDA material describes EI-30k as LeRobot-format; this is not a claim of identical hosting or governance. |
Canonical evidence claims
Claims are projected from authored tables. A dash remains an explicit missing value; it is never filled from a neighboring product or name match.
| Metric | Value | Class |
|---|---|---|
| Claim boundary | hours are not trajectories. Not EVT-Bench [research-systems-r9] | robot-training-corpus |
| Embodiment in the source | human video plus robot trajectories; LDA-1B real figures use Galbot G1 and Unitree G1 variants [research-systems-r9] | robot-training-corpus |
| Engine / renderer | LeRobot-format corpus described in the LDA paper [research-systems-r9] | robot-training-corpus |
| First public date | arXiv 2026-02-16 [research-systems-r9] | robot-training-corpus |
| Kind | mixed human and robot embodied pretraining corpus used with LDA-1B [research-systems-r9] | robot-training-corpus |
| Language-conditioned | mixed labeled and unlabeled [research-systems-r9] | robot-training-corpus |
| Medium | mixed real, sim, labeled, and unlabeled human and robot data [research-systems-r9] | robot-training-corpus |
| Paper | arXiv:2602.12215 [research-systems-r9] | robot-training-corpus |
| Primary metric family | pretraining corpus for a world-action model [research-systems-r9] | robot-training-corpus |
| Public code | described with LDA-1B; public dump as stated in that paper [research-systems-r9] | robot-training-corpus |
| Public leaderboard | — | robot-training-corpus |
| Published scale | 30k+ hours mixed-quality human and robot data [research-systems-r9] | robot-training-corpus |
Source ledger
What is not inferred
No fuzzy entity matching, adjacent-column borrowing, universal compatibility, commercial maturity, or checkpoint-to-product identity. Absence of a relation means unreviewed or unsupported here—not proven incompatibility.