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Humanoid Everyday

Humanoid Everyday is a large-scale, diverse humanoid manipulation dataset from USC's Physical Superintelligence Lab, collected via human-supervised teleoperation on real Unitree G1 and H1 humanoids. It comprises 10,300 trajectories and over 3 million frames across 260 tasks in 7 categories, spanning dexterous manipulation, human-humanoid interaction, and locomotion-integrated activities. Each trajectory aggregates egocentric and third-person RGB, depth, LiDAR point clouds, tactile, IMU, and proprioception at 30 Hz, with natural-language annotations, in LeRobot v2.0 format.

Scale
27.8 hours
Formats
lerobot
License
Apache-2.0
Published
2025-10-09

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.

Catalog assessment

Selection evidence

77/100

Provisional · confidence 48 · 4/6 evaluated

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
View 3 more dimensions

World-model readiness

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

usefulfit 82 · 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.

Next checks

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

Record specifics

Dataset facts

Source
USC Physical Superintelligence Lab
Evidence
secondary claim
Formats
lerobot
episodes
10300
hours
27.8
tasks
260
Read paper

Metadata coverage

Loop signals

5/7 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

depth · video · Humanoid Everyday is a large-scale, diverse humanoid manipulation dataset from USC's Physical Superintelligence Lab, collected via human-supervised teleoperation on real Unitree G1 and H1 humanoids. It comprises 10,300 trajectories and over 3 million frames across 260 tasks in 7 categories, spanning dexterous manipulation, human-humanoid interaction, and locomotion-integrated activities. Each trajectory aggregates egocentric and third-person RGB, depth, LiDAR point clouds, tactile, IMU, and proprioception at 30 Hz, with natural-language annotations, in LeRobot v2.0 format.

present
Action / hand pose / robot state

Humanoid Everyday is a large-scale, diverse humanoid manipulation dataset from USC's Physical Superintelligence Lab, collected via human-supervised teleoperation on real Unitree G1 and H1 humanoids. It comprises 10,300 trajectories and over 3 million frames across 260 tasks in 7 categories, spanning dexterous manipulation, human-humanoid interaction, and locomotion-integrated activities. Each trajectory aggregates egocentric and third-person RGB, depth, LiDAR point clouds, tactile, IMU, and proprioception at 30 Hz, with natural-language annotations, in LeRobot v2.0 format.

present
Language intent / task phase

language · Humanoid Everyday is a large-scale, diverse humanoid manipulation dataset from USC's Physical Superintelligence Lab, collected via human-supervised teleoperation on real Unitree G1 and H1 humanoids. It comprises 10,300 trajectories and over 3 million frames across 260 tasks in 7 categories, spanning dexterous manipulation, human-humanoid interaction, and locomotion-integrated activities. Each trajectory aggregates egocentric and third-person RGB, depth, LiDAR point clouds, tactile, IMU, and proprioception at 30 Hz, with natural-language annotations, in LeRobot v2.0 format.

present
Sim-real pairing

depth · Humanoid Everyday is a large-scale, diverse humanoid manipulation dataset from USC's Physical Superintelligence Lab, collected via human-supervised teleoperation on real Unitree G1 and H1 humanoids. It comprises 10,300 trajectories and over 3 million frames across 260 tasks in 7 categories, spanning dexterous manipulation, human-humanoid interaction, and locomotion-integrated activities. Each trajectory aggregates egocentric and third-person RGB, depth, LiDAR point clouds, tactile, IMU, and proprioception at 30 Hz, with natural-language annotations, in LeRobot v2.0 format.

present
License / format / access

Open · Apache-2.0 · lerobot

present
Evidence details and provenance

Official signal claims

DepthLanguagePoint_cloudProprioceptionTactileVideo

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.

Catalog links

Related records

Humanoid Everyday: Loop Signals, Model Fit, and Failure Mining Readiness · OpenBot.ai