| --- |
| 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 |
| --- |
| |
| <div align="center"> |
| <picture> |
| <source media="(prefers-color-scheme: dark)" srcset="https://huggingface.co/spaces/LightwheelAI/README/resolve/main/assets/Lightwheel_white.png" /> |
| <source media="(prefers-color-scheme: light)" srcset="https://huggingface.co/spaces/LightwheelAI/README/resolve/main/assets/Lightwheel.png" /> |
| <img src="https://huggingface.co/spaces/LightwheelAI/README/resolve/main/assets/Lightwheel.png" alt="Lightwheel" width="300" /> |
| </picture> |
| </div> |
|
|
| <h1 align="center">EgoStandard</h1> |
| <p align="center">The 90,000-hour head-view line of EgoSuite-Open100K.</p> |
| <p align="center"> |
| <a href="https://huggingface.co/buckets/LightwheelAI/EgoStandard">Data Bucket</a> · |
| <a href="https://huggingface.co/collections/LightwheelAI/egosuite-open100k">Collection</a> · |
| <a href="https://huggingface.co/datasets/LightwheelAI/EgoDemo">EgoDemo</a> · |
| <a href="https://huggingface.co/datasets/LightwheelAI/EgoPro">EgoPro</a> · |
| <a href="https://egosuite100k.lightwheel.ai/">Project page</a> |
| </p> |
|
|
| <video src="https://huggingface.co/spaces/LightwheelAI/README/resolve/main/assets/egosuite-open100k-promo.mp4" controls autoplay muted loop playsinline width="100%"></video> |
|
|
| <p align="center"><a href="https://egosuite100k.lightwheel.ai/"><strong>Explore EgoSuite-Open100K ↗</strong></a></p> |
|
|
| > **Data location:** EgoStandard is distributed through the [LightwheelAI/EgoStandard Bucket](https://huggingface.co/buckets/LightwheelAI/EgoStandard). 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 | |
| |---|---:|---|---| |
| | <code>EgoStand</code> | 80,000 hours | Head | Hands | |
| | <code>EgoStand-body</code> | 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](https://huggingface.co/docs/huggingface_hub/en/guides/buckets) 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](mailto:contact@lightwheel.ai). |
|
|
