VideoAvailableCommercial
Household Manipulation
First-person clips of people doing everyday chores with both hands in frame.
- Hours
- 412
- of reviewed data
- clips
- 38k
- 38,400 in total
- Countries
- 21
- contributor locations
- Annotations
- 4
- labels per item
- Open bounties
- 4
- feeding this set
- License from
- $18,000
- Commercial
About this set.
Laundry, dishes, counters and kitchen prep, filmed from the contributor's own point of view at 1080p or better. Every clip is reviewed by a person against the capture standard, audio is stripped, and consent is recorded per clip with provenance attested on OP Mainnet.
Use cases
- Imitation learning
- Bimanual manipulation
- World models
egocentricbimanualdeformable
Annotation schema. One JSON record per item.
| Field | Type | Description |
|---|---|---|
| Item | ||
iduuid | uuid | Stable item ID, unchanged across refreshes |
contributorstring | string | Salted SHA-256 of the contributor wallet, never the address |
taskstring | string | Bounty the item was captured against |
captured_atISO 8601 | ISO 8601 | Upload time, UTC |
countryISO 3166-1 | ISO 3166-1 | Contributor country, two-letter code |
| Capture | ||
duration_secnumber | number | Clip length in seconds |
resolutionstring | string | Width x height, 1920x1080 minimum |
fpsnumber | number | Frame rate, 30 minimum |
audioenum | enum | Always stripped before delivery |
| Annotation | ||
annotations.task_labelenum | enum | Canonical task from the bounty taxonomy |
annotations.hand_visibilitynumber 0-1 | number 0-1 | Share of frames with both hands visible |
annotations.segment[int, int] | [int, int] | First and last frame of the task |
annotations.objectsstring[] | string[] | Objects handled in the clip |
| Provenance | ||
consentobject | object | Consent version and time, recorded per item |
attestationobject | object | EAS attestation UID on OP Mainnet |
Schema preview. What one record looks like.
household-manipulation/sample.json
{
"id": "6c260116-925c-420e-a1e7-8fde538aac2c",
"contributor": "sha256:784cecf90841b5f9…7e7d4af7",
"task": "fold-laundry",
"captured_at": "2026-08-18T14:02:00Z",
"country": "PL",
"duration_sec": 17,
"resolution": "1920x1080",
"fps": 30,
"audio": "stripped",
"annotations": {
"task_label": "fold_laundry",
"hand_visibility": 0.96,
"segment": [
37,
688
],
"objects": [
"t-shirt",
"towel",
"basket"
]
},
"consent": {
"recorded": true,
"version": "2026-06",
"at": "2026-08-18T14:02:00Z"
},
"attestation": {
"chain_id": 10,
"uid": "0x84d3840a806d741e33fc1491b88a1f05fde1dcc624c4fe1f11fb5feca67c812c"
}
}Illustrative values in the delivered shape. Contributor wallets are hashed and never shipped.
Bounties feeding this set. Open now.
- T1HouseholdFolding laundryFold a basket of mixed clothes on a flat surface. Both hands in frame for the whole clip.$2–$4per item
- T1HouseholdLoading the dishwasherLoad plates, cups and cutlery from the counter into a dishwasher rack.$2–$4per item
- T1HouseholdSurface wipe downClear and wipe a kitchen counter or table with a cloth or sponge.$2–$3per item
- T1HouseholdKitchen prepWash, peel or chop vegetables on a board. Knife and both hands visible.$3–$4per item
License tiers. Priced from this set's listed tier.
Research
Evaluate and publish. Not for products.
Not offered for this set
- Non-commercial research and benchmarks
- Full items, annotations and per-item JSON
- Attestation UID for every item
- 12-month term, citation required
Commercial
ListedTrain models you ship.
from$18,000
- Everything in Research
- Train and deploy commercial models
- Weights you train are yours to keep
- Quarterly refreshes as the set grows
Exclusive
The set is yours alone for the term.
from$54,000
- Everything in Commercial
- Sole license for 24 months
- Withdrawn from the public catalog
- Custom bounties to extend it
This set is licensed at its listed tier or above. Final pricing depends on volume, refresh cadence and delivery.
Commercial from$18,000