OpenBot
Platform
Manipulation datasetOpenReadiness 73/100Useful

AgiBotWorld2026

AgiBot World 2026

Source notes

AgiBot World 2026

Real-World Embodied Intelligence Dataset

	Overview

As robotics research advances into real-world scenarios, the demand for authentic, high-quality data has become increasingly urgent. Following AGIBOT WORLD's "ImageNet moment," we now release the AGIBOT WORLD 2026 dataset. Built upon massive real-world scenes, it systematically spans pivotal research directions in embodied intelligence, designed to power the next generation of… See the full description on the dataset page: https://huggingface.co/datasets/agibot-world/AgiBotWorld2026.

Scale
13.56TB repository size
Formats
Not declared
License
cc-by-nc-sa-4.0
Published
2026-03-11
Embodiments
Not declared
Modalities
Not declared
Official sourceAudit a local copy

Decision summary

Best for

policy learning

Main blocker

No verified blocker is published; unresolved facts remain unknown.

Next check

Run a bounded sample audit before assigning Strong readiness.

Release history

Source-backed release timing for this canonical dataset record.

Important releases

  1. Dataset 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

How scores work

73/100

Useful

6/6 dimensions scored · 65% confidence

Access and governance35conf. 85
Schema and signal coverage75conf. 80
Policy training readiness85conf. 55
World-model readiness82conf. 50
Failure and recovery readiness80conf. 55
Download and processing readiness82conf. 65
Read the evidence behind all 6 dimensions

Access and governance

The declared license restricts commercial use.

limitedfit 35 · confidence 85

Schema and signal coverage

Machine-readable schema or manifest files were found.

usefulfit 75 · confidence 80

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 82 · confidence 50

Failure and recovery readiness

Failure, success, intervention, or recovery fields are declared; coverage requires sample audit.

usefulfit 80 · confidence 55

Download and processing readiness

A bounded sample/subset is declared for initial validation.

usefulfit 82 · confidence 65
Review unresolved evidence and next checks

Signal gaps

  • Gaze / attention. Not enough evidence is available to classify this signal.

Next checks

  • Run a bounded sample audit before assigning Strong readiness.
Engineering checks (OBRS) behind this record
Engineering checksBronze

Needs Audit

3/12checks passed

OBRS metadata and reported test evidence. A breakdown behind Selection readiness, not a separate score or an independent OpenBot certification.

Standardization & Loaders2 / 25 pt
Physical & Action Quality12 / 25 pt
Semantic & Annotation15 / 20 pt
Real-World Validation0 / 15 pt
License & Compliance6 / 15 pt
Missing evidence and readiness gaps
  • A passing real-hardware test report is required.
  • A passing ingestion/pipeline test report is required.
  • A passing privacy and provenance review is required.

Dataset facts

Source
agibot-world
Evidence
official claim
Formats
Not declared
repository size
13.56TB
official sample
~7 GB

Loop signals

6/7 present or partial

Gaze / attention

No decision-grade evidence captured yet.

unknown
View 6 more signal categories
Observation / ego video

video · modality:image · AgiBot World 2026 Real-World Embodied Intelligence Dataset Overview As robotics research advances into real-world scenarios, the demand for authentic, high-quality data has become increasingly urgent. Following AGIBOT WORLD's "ImageNet moment," we now release the AGIBOT WORLD 2026 dataset. Built upon massive real-world scenes, it systematically spans pivotal research directions in embodied intelligence, designed to power the next generation of… See the full description on the dataset page: https://huggingface.co/datasets/agibot-world/AgiBotWorld2026.

present
Action / hand pose / robot state

actions · robot state

present
Language intent / task phase

language · task phase · language:en · task_categories:robotics

present
Feedback / correction / failure

success/failure · failure recovery

present
Sim-real pairing

sim-real · AgiBot World 2026 Real-World Embodied Intelligence Dataset Overview As robotics research advances into real-world scenarios, the demand for authentic, high-quality data has become increasingly urgent. Following AGIBOT WORLD's "ImageNet moment," we now release the AGIBOT WORLD 2026 dataset. Built upon massive real-world scenes, it systematically spans pivotal research directions in embodied intelligence, designed to power the next generation of… See the full description on the dataset page: https://huggingface.co/datasets/agibot-world/AgiBotWorld2026.

present
License / format / access

Open · cc-by-nc-sa-4.0

present
Evidence details and provenance

Official signal claims

VideoActionsRobot stateLanguageTask phaseSuccess FailureIntervention TakeoverRecoverySIM RealLanguage:enModality:image

Schema and annotations

is_result_succeedError FrameSuccess FrameIntervention Frametake_overerror_causerestorableinstruction_segmentsTask Frame2D Bounding Box

Sample verification

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

card dataset_info or manifest

Integration notes

No integration notes are published.