OpenBot
Platform
Egocentric datasetOpen
OBRS 35•Bronze

Egocentric-10K Evaluation

An Apache-2.0 evaluation dataset for measuring hand presence and active object manipulation in first-person industrial frames.

Scale
30K samples
Formats
Parquet · optimized Parquet
License
CC-BY-4.0
Published
2025-11-10
Official sourceAll recordsDataset index A–ZRun local preflightRequest scoped audit

Decision summary

Best for

Benchmarking egocentric data quality

Main blocker

Good open-access companion to the gated Egocentric-10K source dataset.

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

79/100

Provisional

2/6 dimensions scored · 35% confidence

Access and governance75conf. 85
Schema and signal coverageNot scoredconf. 15
Policy training readinessNot scoredconf. 15
World-model readinessNot scoredconf. 15
Failure and recovery readinessNot scoredconf. 15
Download and processing readiness82conf. 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/action alignment has not been established.

unknownnot scored · confidence 15

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

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.
  • 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 · builddotai/Egocentric-10K-Evaluation
Evidence
official claim
Formats
Parquet · optimized Parquet · JSON metadata
samples
30K
source
Egocentric-10K

Loop signals

5/7 present or partial

Gaze / attention

No decision-grade evidence captured yet.

unknown
Sim-real pairing

No decision-grade evidence captured yet.

unknown
View 5 more signal categories
Observation / ego video

images · Useful for OpenBot Data scoring before pulling large video corpora.

present
Action / hand pose / robot state

hand labels · active manipulation labels · Filtering source corpora for active manipulation · Evaluating hand-presence detectors

partial
Language intent / task phase

hand labels · active manipulation labels

partial
Feedback / correction / failure

active manipulation labels · Filtering source corpora for active manipulation · An Apache-2.0 evaluation dataset for measuring hand presence and active object manipulation in first-person industrial frames. · Hugging Face · builddotai/Egocentric-10K-Evaluation

present
License / format / access

Open · CC-BY-4.0 · Parquet · optimized Parquet

present
Evidence details and provenance

Official signal claims

ImagesHand LabelsActive Manipulation LabelsDataset Metadata

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

  • Good open-access companion to the gated Egocentric-10K source dataset.
  • Useful for OpenBot Data scoring before pulling large video corpora.