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EgoSuite-Open10K — real-world egocentric human data by Lightwheel

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.

EgoDemo source provenance and counting rule

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

EgoSuite-Open10K collection and repository architecture
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

Seven scene families covered by EgoSuite-Open10K

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"

EgoSuite-Open10K — real-world egocentric human data by Lightwheel

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.

EgoDemo source provenance and counting rule

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

EgoSuite-Open10K collection and repository architecture
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

EgoDemo trial pack contents Seven scene families covered by EgoSuite-Open10K

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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