| --- |
| pretty_name: "EgoSuite-Open100K - EgoDemo" |
| language: |
| - en |
| license: other |
| license_name: commercial-training-no-resale-v1.0 |
| size_categories: |
| - 1K<n<10K |
| task_categories: |
| - video-classification |
| tags: |
| - video |
| - egocentric-video |
| - embodied-ai |
| - human-demonstration |
| - public-demo |
| - provenance |
| - human-pose |
| - hand-pose |
| - body-pose |
| - wrist-camera |
| - multimodal |
| - lerobot |
| - mcap |
| - raw-video |
| - robotics |
| gated: true |
| viewer: false |
| extra_gated_heading: Get access to EgoDemo |
| extra_gated_description: >- |
| We'd love to know a little about who's using the data. |
| Everyone is welcome, whether you're at a lab, a company, or working on your own. |
| 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: Get 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">EgoDemo</h1> |
| <p align="center">A 50-hour sample from EgoSuite-Open100K, covering every annotated subset plus two raw-video variants.</p> |
| <p align="center"> |
| <a href="https://huggingface.co/collections/LightwheelAI/egosuite-open100k">Collection</a> · |
| <a href="https://huggingface.co/datasets/LightwheelAI/EgoStandard">EgoStandard</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> |
|
|
| ## EgoSuite-Open100K Overview |
|
|
| <table> |
| <thead> |
| <tr> |
| <th colspan="4" align="center"> |
| Collection: |
| <a href="https://huggingface.co/collections/LightwheelAI/egosuite-open100k"> |
| EgoSuite-Open100K |
| </a> |
| </th> |
| </tr> |
| <tr> |
| <th align="left">SKU</th> |
| <th align="left">Sub-SKU</th> |
| <th align="left">Format</th> |
| <th align="right">Planned Duration</th> |
| </tr> |
| </thead> |
| <tbody> |
| <tr> |
| <td><strong>EgoStandard</strong></td> |
| <td><code>EgoStand</code></td> |
| <td>Hand Pose</td> |
| <td align="right">80,000 h</td> |
| </tr> |
| <tr> |
| <td></td> |
| <td><code>EgoStand-Body</code></td> |
| <td>Hand Pose + Full Body Pose</td> |
| <td align="right">10,000 h</td> |
| </tr> |
| <tr> |
| <td><strong>EgoPro</strong></td> |
| <td><code>EgoProStandard</code></td> |
| <td>Wrist + Hand Pose</td> |
| <td align="right">8,000 h</td> |
| </tr> |
| <tr> |
| <td></td> |
| <td><code>EgoProStandard-Body</code></td> |
| <td>Wrist + Hand Pose + Full Body Pose</td> |
| <td align="right">2,000 h</td> |
| </tr> |
| <tr> |
| <td><strong>EgoDemo</strong></td> |
| <td>Four SKUs + Two Raw Videos</td> |
| <td aria-label="Not applicable" style="background:linear-gradient(to bottom left,transparent 49.75%,rgba(148,163,184,.35) 49.75%,rgba(148,163,184,.35) 50.25%,transparent 50.25%);"></td> |
| <td align="right">50 h</td> |
| </tr> |
| </tbody> |
| </table> |
| |
| ## Overview |
|
|
| EgoDemo is the developer-friendly entry point to EgoSuite-Open100K. Unlike EgoStandard and EgoPro, its data is stored directly in this dataset repository. The annotated samples are available in both LeRobot v3 and MCAP; the raw-video samples are MP4. |
|
|
| The 15,000+ task and scene figures associated with EgoSuite-Open100K describe the full collection, not this 50-hour sample. |
|
|
| ## Download |
|
|
| Accept the access terms on this page, then authenticate with the Hugging Face CLI: |
|
|
| pip install -U huggingface_hub |
| hf auth login |
| |
| Download the complete repository: |
|
|
| hf download LightwheelAI/EgoDemo \ |
| --repo-type dataset \ |
| --local-dir ./EgoDemo |
| |
| Use <code>--include</code> to download only the data you need: |
|
|
| # One annotated LeRobot variant |
| hf download LightwheelAI/EgoDemo \ |
| --repo-type dataset \ |
| --include "EgoStand/lerobot/**" \ |
| --local-dir ./EgoDemo |
| |
| # Raw head-view video |
| hf download LightwheelAI/EgoDemo \ |
| --repo-type dataset \ |
| --include "EgoRaw/mp4/**" \ |
| --local-dir ./EgoDemo |
| |
| See the [Hugging Face download documentation](https://huggingface.co/docs/huggingface_hub/en/guides/download) for caching, filtering, and dry-run options. |
|
|
| ## Repository Layout |
|
|
| EgoDemo/ |
| ├── README.md |
| ├── EgoStand/ |
| │ ├── README.md |
| │ ├── lerobot/ |
| │ ├── mcap/ |
| │ └── manifests/ |
| ├── EgoStand-body/ |
| │ ├── README.md |
| │ ├── lerobot/ |
| │ ├── mcap/ |
| │ └── manifests/ |
| ├── EgoProStandard/ |
| │ ├── README.md |
| │ ├── lerobot/ |
| │ ├── mcap/ |
| │ └── manifests/ |
| ├── EgoProStandard-body/ |
| │ ├── README.md |
| │ ├── lerobot/ |
| │ ├── mcap/ |
| │ └── manifests/ |
| ├── EgoRaw/ |
| │ ├── README.md |
| │ ├── mp4/ |
| │ └── manifests/ |
| └── EgoProRaw/ |
| ├── README.md |
| ├── mp4/ |
| └── manifests/ |
| |
| An absent format directory means that format is not provided for the variant. Variant-specific details are documented in the README inside each directory. |
|
|
| ## Data Contract |
|
|
| LeRobot and MCAP are alternative representations of the same annotated episodes. The shared <code>source_episode_uuid</code> connects formats; do not add their durations or episode counts together. |
|
|
| Pose data uses <code>float32</code> world coordinates: |
|
|
| | Value | Shape | |
| |---|---:| |
| | Left/right hand positions | <code>(21, 3)</code> | |
| | Left/right hand rotations | <code>(21, 4)</code> | |
| | Full-body positions | <code>(22, 3)</code> | |
| | Full-body rotations | <code>(22, 4)</code> | |
|
|
| Quaternions use <code>(qw, qx, qy, qz)</code> ordering. Temporal event-level semantic annotations are included for the four annotated variants; the raw-video variants contain no pose or semantic annotations. |
|
|
| Manifest rows provide stable identifiers, source provenance, task and scene metadata, duration, repository-relative paths, modality flags, format information, and SHA-256 checksums. Raw-video manifest rows omit source Sub-SKU and pose fields. |
|
|
| ## Format Versions |
|
|
| | Item | Version | |
| |---|---| |
| | Dataset release | <code>v1.0.0</code> | |
| | LeRobot | <code>v3.0</code> | |
| | MCAP container | <code>MCAP0</code> | |
| | MCAP schema encoding | Embedded Protobuf | |
| | Raw video | MP4 + JSON | |
|
|
|
|
| ## Citing this dataset |
|
|
| ```bibtex |
| @misc{lightwheel2026egosuite, |
| author = {{Lightwheel}}, |
| title = {{EgoSuite-Open100K: A Fully Annotated Open Egocentric Human Dataset}}, |
| year = {2026}, |
| month = aug, |
| howpublished = {\url{https://huggingface.co/collections/LightwheelAI/egosuite-open100k}}, |
| note = {Dataset} |
| } |
| ``` |
|
|
| ## Privacy and Use |
|
|
| All participants provided informed consent covering collection, annotation, controlled release, and uses permitted by the dataset license. Recordings were de-identified before release. 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). |
|
|
