OpenBot
Platform
Manipulation datasetOpen
OBRS 45•Bronze

LeRobot Shirt-Folding Dataset

The shirt-folding dataset from LeRobot's open-source 'Unfolding Robotics: Open-Source Shirt Folding from Data to Deployment' project, which trained a bimanual robot to fold t-shirts at a 90% success rate.

Source notes

The shirt-folding dataset from LeRobot's open-source 'Unfolding Robotics: Open-Source Shirt Folding from Data to Deployment' project, which trained a bimanual robot to fold t-shirts at a 90% success rate. Collected via real-world leader-follower teleoperation across 8 bimanual setups optimizing for diversity (25+ t-shirts, 8 backgrounds, varied camera/robot heights), structured as Level 1 (fold a laid-out shirt) and Level 2 (spread a crumpled shirt, fold, set aside). The full dataset has 5,688 episodes (~131h); a curated high-quality subset (lerobot/high_quality_folding) has 1,200 episodes (~30h). Each episode has 3 camera streams (base 480x640, two wrists 720x1280) and 16-dim joint+gripper states/actions, stored in LeRobotDataset v3.0 (video-encoded).

Scale
131 hours
Formats
lerobot
License
Apache-2.0
Published
2026-06-22
Official sourceAll recordsDataset index A–ZRun local preflightRequest scoped audit

Decision summary

Best for

teleoperation

Main blocker

Metadata requires review against the official source before publication.

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 official dataset metadata.

    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

70/100

Provisional

3/6 dimensions scored · 42% confidence

Access and governance75conf. 85
Schema and signal coverageNot scoredconf. 15
Policy training readiness70conf. 55
World-model readinessNot scoredconf. 15
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 70 · confidence 55

World-model readiness

World-model observation, geometry, or temporal semantics are not verified.

unknownnot scored · confidence 15

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.
  • Language intent / task phase. 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
LeRobot (Hugging Face)
Evidence
secondary claim
Formats
lerobot
episodes
5,688
hours
131
tasks
2

Loop signals

3/7 present or partial

Gaze / attention

No decision-grade evidence captured yet.

unknown
Language intent / task phase

No decision-grade evidence captured yet.

unknown
View 5 more signal categories
Observation / ego video

video · The shirt-folding dataset from LeRobot's open-source 'Unfolding Robotics: Open-Source Shirt Folding from Data to Deployment' project, which trained a bimanual robot to fold t-shirts at a 90% success rate. Collected via real-world leader-follower teleoperation across 8 bimanual setups optimizing for diversity (25+ t-shirts, 8 backgrounds, varied camera/robot heights), structured as Level 1 (fold a laid-out shirt) and Level 2 (spread a crumpled shirt, fold, set aside). The full dataset has 5,688 episodes (~131h); a curated high-quality subset (lerobot/high_quality_folding) has 1,200 episodes (~30h). Each episode has 3 camera streams (base 480x640, two wrists 720x1280) and 16-dim joint+gripper states/actions, stored in LeRobotDataset v3.0 (video-encoded).

present
Action / hand pose / robot state

The shirt-folding dataset from LeRobot's open-source 'Unfolding Robotics: Open-Source Shirt Folding from Data to Deployment' project, which trained a bimanual robot to fold t-shirts at a 90% success rate. Collected via real-world leader-follower teleoperation across 8 bimanual setups optimizing for diversity (25+ t-shirts, 8 backgrounds, varied camera/robot heights), structured as Level 1 (fold a laid-out shirt) and Level 2 (spread a crumpled shirt, fold, set aside). The full dataset has 5,688 episodes (~131h); a curated high-quality subset (lerobot/high_quality_folding) has 1,200 episodes (~30h). Each episode has 3 camera streams (base 480x640, two wrists 720x1280) and 16-dim joint+gripper states/actions, stored in LeRobotDataset v3.0 (video-encoded).

present
Feedback / correction / failure

No decision-grade evidence captured yet.

unknown
Sim-real pairing

No decision-grade evidence captured yet.

unknown
License / format / access

Open · Apache-2.0 · lerobot

present
Evidence details and provenance

Official signal claims

ProprioceptionVideo

Schema and annotations

No machine-readable schema facts are captured.

Sample verification

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

curated official source

Integration notes

  • Metadata requires review against the official source before publication.