- Start here
- The complete release
- Load the trial pack
- Provenance contract
- Repository layout
- Scene coverage
- Access and responsible use
- License, citation, and contact
- pretty_name: "EgoSuite-Open10K · EgoDemo" language: - en - zh tags: - robotics - embodied-ai - physical-ai - egocentric-video - human-demonstration - multimodal - demo - streaming viewer: false configs: - config_name: EgoDemo data_files: - split: train path: "manifests/EgoDemo/*.parquet"
- Start here
- The complete release
- Load the trial pack
- Provenance contract
- Repository layout
- Scene coverage
- Access and responsible use
- License, citation, and contact
EgoDemo
An open, ungated trial pack sampled from the formal EgoSuite-Open10K repositories.
20–50 selected hours · duplicate samples · full source provenance · excluded from the 10,000-hour total
Collection · EgoStandard · EgoPro · 中文 · EgoSuite
Public ungated landing card. EgoDemo is publicly discoverable and remains ungated. The Dataset Viewer remains disabled until the audited demo manifests, media, approved license, and final citation are uploaded. Each published row must preserve source provenance and
counts_toward_10k=false; public visibility does not imply that the final demo payload is complete.
Start here
EgoDemo is the zero-friction entry point to EgoSuite-Open10K. It contains a curated 20–50-hour subset copied from the two formal repositories so users can inspect schemas, test loading and evaluate research fit before requesting gated access.
Counting rule: every Demo row is a duplicate of a formal source row and carries
counts_toward_10k=false. EgoDemo is never added to the official 10,000-hour total.
The complete release
| Repository | Role | Configs | Formal hours | Access at release |
|---|---|---|---|---|
| EgoStandard | Head-view series | EgoStandard / EgoStand-motion / EgoFull | 9,000 | Manual gated |
| EgoPro | Head + wrist series | EgoPro / EgoPro-motion / EgoProMax | 1,000 | Manual gated |
| EgoDemo | Open duplicate trial pack | EgoDemo | 20–50, excluded from total | Public, ungated |
Load the trial pack
from datasets import load_dataset
demo = load_dataset(
"LightwheelAI/EgoDemo",
"EgoDemo",
split="train",
streaming=True,
)
first = next(iter(demo))
print(first["source_repo"], first["source_config"], first["source_clip_id"])
Provenance contract
| Field | Type | Meaning |
|---|---|---|
demo_clip_id |
string | Demo-local anonymous row key |
source_repo |
string | LightwheelAI/EgoStandard or LightwheelAI/EgoPro |
source_config |
string | One of the six formal SKU names |
source_clip_id |
string | Stable clip key in the source release |
source_revision |
string | Immutable source commit or release tag |
counts_toward_10k |
bool | Must always be false |
scene_family |
string | One of seven top-level scene families |
duration_s |
float32 | Audited usable duration in seconds |
head_video_ref |
string | Demo-local or immutable source media reference |
wrist_video_ref |
string, nullable | Present for sampled Pro-series rows |
hand_pose_3d_ref |
string | Hand-pose reference |
body_pose_3d_ref |
string, nullable | Body-pose reference when available |
semantics_v7_ref |
string, nullable | V7 semantic reference when available |
sha256 |
string | Integrity checksum |
The schema is defined in metadata/schema.json. The final statistics.json must report the exact Demo duration and source-config mix.
Repository layout
EgoDemo/
├── README.md
├── README_zh.md
├── assets/
├── manifests/EgoDemo/part-*.parquet
├── media/<selected-demo-shards>.tar
├── annotations/<selected-demo-shards>.tar
└── metadata/
├── source_map.parquet
├── schema.json
├── statistics.json
└── checksums.sha256
Scene coverage
The Demo should sample across Home, Hospitality, Retail, Sports, Logistics, Office, and Industry, while keeping the precise mix traceable to the formal source rows. Selection criteria and exact hours must be disclosed in the release manifest.
Access and responsible use
EgoDemo is public and ungated, but open access does not remove the dataset license, participant-consent scope, privacy requirements, or downstream-use restrictions.
Users must not attempt to identify participants, reconstruct sensitive locations, or use the data for surveillance, profiling, or harmful applications.
License, citation, and contact
The approved dataset license and citation author list are still pending. Public visibility and ungated access do not grant rights beyond the governing terms and provenance rules approved for the demo source data.
For product information, visit Lightwheel EgoSuite. For release or collaboration inquiries, use the official Lightwheel contact form.
@dataset{lightwheel_egosuite_open10k_egodemo_2026,
author = {{Lightwheel}},
title = {EgoSuite-Open10K: EgoDemo},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/xuejf/EgoDemo}
}
Citation metadata is a release-candidate template until the approved author list and publication record are locked.
pretty_name: "EgoSuite-Open10K · EgoDemo" language: - en - zh tags: - robotics - embodied-ai - physical-ai - egocentric-video - human-demonstration - multimodal - demo - streaming viewer: false configs: - config_name: EgoDemo data_files: - split: train path: "manifests/EgoDemo/*.parquet"
EgoDemo
An open, ungated trial pack sampled from the formal EgoSuite-Open10K repositories.
20–50 selected hours · duplicate samples · full source provenance · excluded from the 10,000-hour total
Collection · Private staging · xuejf namespace · EgoStandard · EgoPro · 中文 · EgoSuite
Private staging preview. This repository currently contains the Dataset Card, visual assets, manifest contract, and schema only. The audited Parquet manifests, media shards, approved license, and final citation have not been uploaded; no access rights to the unpublished 10K corpus are granted by this preview.
Start here
EgoDemo is the zero-friction entry point to EgoSuite-Open10K. It contains a curated 20–50-hour subset copied from the two formal repositories so users can inspect schemas, test loading and evaluate research fit before requesting gated access.
Counting rule: every Demo row is a duplicate of a formal source row and carries
counts_toward_10k=false. EgoDemo is never added to the official 10,000-hour total.
The complete release
| Repository | Role | Configs | Formal hours | Access at release |
|---|---|---|---|---|
| EgoStandard | Head-view series | EgoStandard / EgoStand-motion / EgoFull | 9,000 | Manual gated |
| EgoPro | Head + wrist series | EgoPro / EgoPro-motion / EgoProMax | 1,000 | Manual gated |
| EgoDemo | Open duplicate trial pack | EgoDemo | 20–50, excluded from total | Public, ungated |
Load the trial pack
from datasets import load_dataset
demo = load_dataset(
"xuejf/EgoDemo",
"EgoDemo",
split="train",
streaming=True,
)
first = next(iter(demo))
print(first["source_repo"], first["source_config"], first["source_clip_id"])
Provenance contract
| Field | Type | Meaning |
|---|---|---|
demo_clip_id |
string | Demo-local anonymous row key |
source_repo |
string | xuejf/EgoStandard or xuejf/EgoPro |
source_config |
string | One of the six formal SKU names |
source_clip_id |
string | Stable clip key in the source release |
source_revision |
string | Immutable source commit or release tag |
counts_toward_10k |
bool | Must always be false |
scene_family |
string | One of seven top-level scene families |
duration_s |
float32 | Audited usable duration in seconds |
head_video_ref |
string | Demo-local or immutable source media reference |
wrist_video_ref |
string, nullable | Present for sampled Pro-series rows |
hand_pose_3d_ref |
string | Hand-pose reference |
body_pose_3d_ref |
string, nullable | Body-pose reference when available |
semantics_v7_ref |
string, nullable | V7 semantic reference when available |
sha256 |
string | Integrity checksum |
The schema is defined in metadata/schema.json. The final statistics.json must report the exact Demo duration and source-config mix.
Repository layout
EgoDemo/
├── README.md
├── README_zh.md
├── assets/
├── manifests/EgoDemo/part-*.parquet
├── media/<selected-demo-shards>.tar
├── annotations/<selected-demo-shards>.tar
└── metadata/
├── source_map.parquet
├── schema.json
├── statistics.json
└── checksums.sha256
Scene coverage
The Demo should sample across Home, Hospitality, Retail, Sports, Logistics, Office, and Industry, while keeping the precise mix traceable to the formal source rows. Selection criteria and exact hours must be disclosed in the release manifest.
Access and responsible use
EgoDemo is intended to be public and ungated, but open access does not remove the dataset license, participant-consent scope, privacy requirements, or downstream-use restrictions.
Users must not attempt to identify participants, reconstruct sensitive locations, or use the data for surveillance, profiling, or harmful applications.
License, citation, and contact
The approved dataset license and citation author list must be added before public release. EgoDemo should use the same governing terms and provenance rules as its formal source data unless Lightwheel legal explicitly approves a separate demo license.
For product information, visit Lightwheel EgoSuite. For release or collaboration inquiries, use the official Lightwheel contact form.
@dataset{lightwheel_egosuite_open10k_egodemo_2026,
author = {{Lightwheel}},
title = {EgoSuite-Open10K: EgoDemo},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/xuejf/EgoDemo}
}
Citation metadata is a release-candidate template until the approved author list and publication record are locked.
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