OpenBot
Platform
Egocentric datasetOpen
OBRS 52•Bronze

Egocentric Adjust Bottle

A LeRobot-style robotics dataset for an egocentric bottle adjustment task, packaged as Parquet with image, text, and timeseries modalities.

Scale
10K-100K rows
Formats
LeRobot · Parquet
License
Apache-2.0
Published
2026-05-02
Official sourceAll recordsDataset index A–ZRun local preflightRequest scoped audit

Decision summary

Best for

LeRobot conversion tests

Main blocker

One of the more directly robot-task-shaped open HF entries.

Next check

Read the dataset manifest and feature schema.

Release history

Source-backed release timing for this canonical dataset record.

Important releases

  1. Dataset series published

    Release timing is recorded from the official source creation date.

    Release evidence

Selection readiness

6 evidence dimensions for deciding whether this dataset is ready to inspect, compare, or adopt. This is not a model benchmark.

Catalog evidence · not task performance

73/100

Provisional

4/6 dimensions scored · 48% confidence

Access and governance75conf. 85
Schema and signal coverageNot scoredconf. 15
Policy training readiness85conf. 55
World-model readiness68conf. 50
Failure and recovery readinessNot scoredconf. 15
Download and processing readiness65conf. 65
Read the evidence behind all 6 dimensions

Access and governance

Access and license are declared by the source.

usefulfit 75 · confidence 85

Schema and signal coverage

No machine-readable schema has been verified yet.

unknownnot scored · confidence 15

Policy training readiness

Observation and action/state signals are declared; alignment quality still depends on sample verification.

usefulfit 85 · confidence 55

World-model readiness

Temporal observations plus geometry or semantic context are declared; sample alignment remains to be audited.

usefulfit 68 · confidence 50

Failure and recovery readiness

No verified failure/recovery annotation evidence is available yet.

unknownnot scored · confidence 15

Download and processing readiness

Scale is declared; transfer and processing estimates are not measured.

usefulfit 65 · confidence 65
Review unresolved evidence and next checks

Signal gaps

  • Gaze / attention. Not enough evidence is available to classify this signal.
  • Feedback / correction / failure. Not enough evidence is available to classify this signal.
  • Sim-real pairing. Not enough evidence is available to classify this signal.

Next checks

  • Read the dataset manifest and feature schema.
  • Run a bounded sample audit before assigning Strong readiness.

Dataset facts

Source
Hugging Face · SUZ-tsinghua/egocentric_adjust_bottle
Evidence
official claim
Formats
LeRobot · Parquet · image · timeseries
rows
10K-100K
tasks
Robotics

Loop signals

4/7 present or partial

Gaze / attention

No decision-grade evidence captured yet.

unknown
Feedback / correction / failure

No decision-grade evidence captured yet.

unknown
View 5 more signal categories
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.

present
Action / hand pose / robot state

robot state · timeseries · Single-task manipulation curation · Dataset quality checks for action traces

present
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.

partial
Sim-real pairing

No decision-grade evidence captured yet.

unknown
License / format / access

Open · Apache-2.0 · LeRobot · Parquet

present
Evidence details and provenance

Official signal claims

ImagesLanguageRobot state

Schema and annotations

No machine-readable schema facts are captured.

Sample verification

Pending. Metadata does not prove sample coverage, alignment, or file integrity.

curated source metadata

Integration notes

  • One of the more directly robot-task-shaped open HF entries.
  • Good target for OpenBot Data export and validation examples.