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Manipulation datasetOpenReadiness 81 · confidence 43

GM-100 Dataset

Real-robot bimanual evaluation benchmark

100tasks

A 100-task multi-platform benchmark used by the LingBot-VLA team to compare post-trained VLA policies on real robots.

Best for

Real-robot VLA evaluation

Not for / blocker

Author-created benchmark; reported model results are not independent OpenBot reproduction.

Download decision

Inspect schema and run a bounded sample audit before committing to the full release.

Policy learningUseful

Has observation, action/state proxy, and task or language context.

fit 85 · confidence 55

World modelUseful

Has rich observation and semantic context, but limited geometry/sim-real alignment.

fit 68 · confidence 55

WAMUseful

Contains observation, intent, action/state, and feedback-like supervision.

fit 88 · confidence 55

Verified facts and provenance

Claims, metadata verification, and sample verification are shown separately.

curated official source
Official claim · signals
VideoActionsRobot stateTask phaseOutcome
Metadata verified · schema / annotations

Unknown — no machine-readable schema facts have been captured.

Sample / pipeline verification

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.

5/7 categories present or partial

Observation / ego video

video

present

Action / hand pose / robot state

actions · robot state

present

Gaze / attention

No decision-grade evidence captured yet.

unknown

Language intent / task phase

task phase · A 100-task multi-platform benchmark used by the LingBot-VLA team to compare post-trained VLA policies on real robots.

partial

Feedback / correction / failure

Evaluation metadata · Real-robot VLA evaluation · Real-robot bimanual evaluation benchmark

present

Sim-real pairing

No decision-grade evidence captured yet.

unknown

License / format / access

Open · Hugging Face dataset · Evaluation metadata

present

Model and task fit · OpenBot inference

Policy learningUseful

Has observation, action/state proxy, and task or language context.

fit 85 · confidence 55

World modelUseful

Has rich observation and semantic context, but limited geometry/sim-real alignment.

fit 68 · confidence 55

WAMUseful

Contains observation, intent, action/state, and feedback-like supervision.

fit 88 · confidence 55

Failure miningUseful

Has failure/evaluation-style labels with action or manipulation context.

fit 82 · confidence 55

Good tasks

dataset profiling and source triage

Blockers and unresolved evidence

  • Gaze / attentionunknown
    Not enough evidence to classify this signal. Verify metadata or a bounded sample.
  • Sim-real pairingunknown
    Not enough evidence to classify this signal. Verify metadata or a bounded sample.

Raw dataset signals

VideoActionsRobot stateTask phaseOutcome

OpenBot fit

  • Real-robot VLA evaluation
  • Cross-platform comparison
  • Post-training protocol

Integration notes

  • Author-created benchmark; reported model results are not independent OpenBot reproduction.

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