OpenBot
Egocentric datasetOpen
OBRS 35Bronze

Egocentric Activity Sample

A CC-BY-4.0 sample dataset for egocentric activity recognition, visual QA, temporal localization, narrations, hands, and objects.

Scale
<1K rows
Formats
Parquet · video
License
CC-BY-4.0
Published
2026-04-25

Decision summary

Best for

Activity-recognition examples

Main blocker

Good open sample for testing language annotations around egocentric clips.

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

70/100

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 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/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

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.
  • 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 · WhissleAI/egocentric-activity-sample
Evidence
official claim
Formats
Parquet · video · text metadata
rows
<1K
tasks
3

Loop signals

4/7 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

video · Video QA fixtures for egocentric agents

present
Action / hand pose / robot state

hand-object · A CC-BY-4.0 sample dataset for egocentric activity recognition, visual QA, temporal localization, narrations, hands, and objects.

partial
Language intent / task phase

narration · language · Narration-aware curation · Good open sample for testing language annotations around egocentric clips.

present
Sim-real pairing

No decision-grade evidence captured yet.

unknown
License / format / access

Open · CC-BY-4.0 · Parquet · video

present
Evidence details and provenance

Official signal claims

VideoNarrationLanguageHand-object

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 sample for testing language annotations around egocentric clips.
  • Small scale; use as an integration fixture.
Egocentric Activity Sample Dataset: License, Format & Readiness · OpenBot.ai