Datasets:

LightwheelAI
/

EgoStandard

pretty_name: EgoSuite-Open100K - EgoStandard
language:
  - en
license: other
license_name: commercial-training-no-resale-v1.0
size_categories:
  - 10K<n<100K
task_categories:
  - video-classification
tags:
  - video
  - egocentric-video
  - embodied-ai
  - human-demonstration
  - human-pose
  - hand-pose
  - body-pose
  - multimodal
  - lerobot
  - mcap
  - robotics
gated: true
viewer: false
extra_gated_heading: Request access to EgoSuite-Open100K
extra_gated_description: >-
  Please tell us a bit about yourself and how you plan to use the data. We
  review access requests within 2-3 business days.
extra_gated_prompt: >-
  Lightwheel will use the information you provide to evaluate and manage dataset
  access, understand the EgoSuite-Open100K community, and contact you about your
  request.
extra_gated_fields:
  Full name: text
  Work email: text
  Affiliation or organization: text
  What are you planning to use it for?: text
  Research or product area: text
extra_gated_button_content: Request access

EgoStandard

The 90,000-hour head-view line of EgoSuite-Open100K.

Data Bucket · Collection · EgoDemo · EgoPro · Project page

Explore EgoSuite-Open100K ↗

Data location: EgoStandard is distributed through the LightwheelAI/EgoStandard Bucket. This Git repository is the dataset card and access point; download the data from the Bucket.

Overview

EgoStandard pairs head-view egocentric video with synchronized 3D hand pose. Its body subset adds full-body pose. Wrist-view video is not part of either EgoStandard Sub-SKU. LeRobot and MCAP are alternative representations of the same episodes and must not be counted as additional hours.

Sub-SKU	Planned duration	Camera views	Pose annotations
`EgoStand`	80,000 hours	Head	Hands
`EgoStand-body`	10,000 hours	Head	Hands, full body

Temporal event-level semantic annotations are included as a complimentary release add-on.

Data Access

After access is approved, install and authenticate the Hugging Face CLI:

pip install -U huggingface_hub
hf auth login

Inspect the available prefixes before downloading:

hf buckets list LightwheelAI/EgoStandard -h -R

Download a selected directory or a single file:

# Replace PREFIX and LOCAL_DIR with paths chosen from the listing
hf buckets sync hf://buckets/LightwheelAI/EgoStandard/PREFIX ./LOCAL_DIR

# Replace PATH/TO/FILE and FILE with the selected object path and filename
hf buckets cp hf://buckets/LightwheelAI/EgoStandard/PATH/TO/FILE ./FILE

The Bucket is large and mutable, so its current file listing and manifests are the source of truth for published prefixes. See the Hugging Face Bucket guide for filtering, mounting, Python access, and sync options.

Privacy and Use

Recordings were processed through an automated de-identification pipeline with human verification, including blurring of faces, license plates, and other personally identifiable information. All participants provided informed consent covering collection, annotation, controlled release, and uses permitted by the dataset license. Use of the data is governed by the repository license and access terms.

For dataset questions, open a discussion in this repository. For other inquiries, contact contact@lightwheel.ai.