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Foundation Robotics · Tokyo
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POV-DS-1042
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Non-exclusive · started 28d ago
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Active license
Egocentric kitchen activity, multi-cuisine
Auto-renews Mar 8 · $48,000
View public listing →
Calls 30d
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Bandwidth 30d
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Clips available
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Cost per call (30d)
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Manage listing
API access
Endpoint
https://api.openphysix.ai/v1/datasets/pov-ds-1042
API key
openphysix_live_lk_8f3a91d24e0a7cb6298f1e4d05a9c127
License ID
lic_2026_05_pov1042_mira
# List clips in dataset curl -H "Authorization: Bearer $Openphysix_KEY" \ https://api.openphysix.ai/v1/datasets/pov-ds-1042/clips?limit=50 # Stream a single clip curl -H "Authorization: Bearer $Openphysix_KEY" \ https://api.openphysix.ai/v1/clips/clip_008/stream \ -o clip_008.mp4
from openphysix import Client client = Client(api_key=os.environ["Openphysix_KEY"]) dataset = client.dataset("pov-ds-1042") # Iterate all clips for clip in dataset.clips(): print(clip.id, clip.duration) video = clip.stream() # bytes iterator # PyTorch DataLoader-friendly iterator from openphysix.torch import DatasetIter loader = DatasetIter(dataset, transform=transforms)
import { Aixc } from "@openphysix/sdk"; const client = new Aixc({ apiKey: process.env.Openphysix_KEY }); const dataset = await client.dataset("pov-ds-1042"); for await (const clip of dataset.clips()) { console.log(clip.id, clip.duration); const stream = await clip.stream(); }
# HuggingFace datasets bridge from datasets import load_dataset ds = load_dataset( "openphysix/pov-ds-1042", use_auth_token=os.environ["Openphysix_KEY"], streaming=True, ) for example in ds["train"]: print(example["video_url"], example["contributor_id"])
Rate limits: 120 req/min · egress not metered.
Manifest
JSONL listing of every clip ID, hash, and provenance metadata in this dataset. Useful for offline indexing or training data sampling. Full clip bytes are served via the API.
Manifest · JSONL Download →Usage analytics
Pipeline-level breakdown of how your team uses this dataset. Useful for billing reconciliation and seat optimization.
Total calls
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Bandwidth
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Distinct clips
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Avg call latency
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Detailed usage breakdown is available via the Usage API.
License terms
Annual non-exclusive license. Permits use of all clips in this dataset for training, fine-tuning, and evaluation of foundation models. Continuous updates as new qualifying clips are added by the publisher.
Permitted uses
- ✓ Training and fine-tuning of foundation models
- ✓ Internal evaluation and benchmarking
- ✓ Research publications (requires citation of contributor cohort)
Prohibited
- × Resale or redistribution to third parties
- × Biometric identification or surveillance applications
- × Use against contributors' interests
- × Sublicensing to subsidiaries without prior written consent