Egocentric Adjust Bottle Dataset
LeRobot conversion tests
A LeRobot-style robotics dataset for an egocentric bottle adjustment task, packaged as Parquet with image, text, and timeseries modalities.
LeRobot conversion tests
One of the more directly robot-task-shaped open HF entries.
Inspect schema and run a bounded sample audit before committing to the full release.
Observation and action/state signals are declared; alignment quality still depends on sample verification.
fit 85 · confidence 55
Temporal observations plus geometry or semantic context are declared; sample alignment remains to be audited.
fit 68 · confidence 50
No verified failure/recovery annotation evidence is available yet.
not scored · confidence 15
Verified facts and provenance
Claims, metadata verification, and sample verification are shown separately.
Unknown — no machine-readable schema facts have been captured.
Unknown — metadata conclusions do not prove sample coverage, alignment, or file integrity.
Declared loop signal coverage
Signals inferred from official metadata; Data pipeline verification is still pending.
Observation / ego video
images · image · A LeRobot-style robotics dataset for an egocentric bottle adjustment task, packaged as Parquet with image, text, and timeseries modalities.
Action / hand pose / robot state
robot state · timeseries · Single-task manipulation curation · Dataset quality checks for action traces
Gaze / attention
No decision-grade evidence captured yet.
Language intent / task phase
language · Single-task manipulation curation · One of the more directly robot-task-shaped open HF entries. · A LeRobot-style robotics dataset for an egocentric bottle adjustment task, packaged as Parquet with image, text, and timeseries modalities.
Feedback / correction / failure
No decision-grade evidence captured yet.
Sim-real pairing
No decision-grade evidence captured yet.
License / format / access
Open · Apache-2.0 · LeRobot · Parquet
Catalog decision scorecard
Access and license are declared by the source.
fit 75 · confidence 85
No machine-readable schema has been verified yet.
not scored · confidence 15
Observation and action/state signals are declared; alignment quality still depends on sample verification.
fit 85 · confidence 55
Temporal observations plus geometry or semantic context are declared; sample alignment remains to be audited.
fit 68 · confidence 50
No verified failure/recovery annotation evidence is available yet.
not scored · confidence 15
Scale is declared; transfer and processing estimates are not measured.
fit 65 · confidence 65
Good tasks
Blockers and unresolved evidence
- Gaze / attentionunknownNot enough evidence to classify this signal. Verify metadata or a bounded sample.
- Feedback / correction / failureunknownNot enough evidence to classify this signal. Verify metadata or a bounded sample.
- Sim-real pairingunknownNot enough evidence to classify this signal. Verify metadata or a bounded sample.
- Read the dataset manifest and feature schema.
- Run a bounded sample audit before assigning Strong readiness.
Raw dataset signals
OpenBot fit
- LeRobot conversion tests
- Single-task manipulation curation
- Dataset quality checks for action traces
Related models and papers
Model references linked to similar loop signals.
openvla
OpenVLA: An open-source vision-language-action model for robotic manipulation.
Octo
Open-source generalist robot policy pretrained on Open X-Embodiment trajectories and designed for fine-tuning to new robots and tasks.
SmolVLA
Compact open vision-language-action policy designed for practical robot fine-tuning and deployment through the LeRobot ecosystem.
RT-X
Cross-embodiment RT model family trained from the Open X-Embodiment mixture to study transfer across robots and tasks.
Diffusion Policy
Visuomotor policy approach that represents robot behavior as a conditional denoising diffusion process.
Integration notes
- One of the more directly robot-task-shaped open HF entries.
- Good target for OpenBot Data export and validation examples.
