Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
subjects: string
consent_basis: string
property: string
capture_method: string
license: string
conditioning_applied: list<item: string>
child 0, item: string
no_ml_redaction: bool
third_party_handling: string
retention_policy: string
manifest_version: string
file_count: int64
files: list<item: struct<path: string, bytes: int64, sha256: string>>
child 0, item: struct<path: string, bytes: int64, sha256: string>
child 0, path: string
child 1, bytes: int64
child 2, sha256: string
total_bytes: int64
to
{'manifest_version': Value('string'), 'file_count': Value('int64'), 'total_bytes': Value('int64'), 'files': List({'path': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')})}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
subjects: string
consent_basis: string
property: string
capture_method: string
license: string
conditioning_applied: list<item: string>
child 0, item: string
no_ml_redaction: bool
third_party_handling: string
retention_policy: string
manifest_version: string
file_count: int64
files: list<item: struct<path: string, bytes: int64, sha256: string>>
child 0, item: struct<path: string, bytes: int64, sha256: string>
child 0, path: string
child 1, bytes: int64
child 2, sha256: string
total_bytes: int64
to
{'manifest_version': Value('string'), 'file_count': Value('int64'), 'total_bytes': Value('int64'), 'files': List({'path': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')})}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
POV Egocentric - Residential Framing, Final Steps (Sample)
First-person, head-mounted video. 10 clips · ~46 min · 1080p · 30 fps · H.264 · no audio. A sample of a larger controlled-capture catalog.
Why this sample is different — provenance you can verify
Most egocentric datasets ship a one-line "rights-cleared" string and ask you to trust it. Every clip
here ships a structured, hash-bound provenance record — and a named human signed off on each one.
Per clip (manifests/<clip>.json):
- 🔒 Cryptographic binding —
provenance_sha256binds the exact delivered bytes. Re-hash the file; it matches. - ✅ Per-clip human-review attestation — a named reviewer, UTC timestamp, 100% coverage (every clip, full-timeline scrub), with an explicit affirmation: no identifiable persons.
- 📋 Structured rights object (not a flat string).
- 🪪 Honest preprocessing disclosure (below).
Rights & privacy
- First-party capture — with authorized capture on property (US); written consent on file.
- Single-operator controlled capture — no other persons present.
- Audio removed entirely at ingest — no voices, no names.
- Controlled capture: head-mounted camera angled down at the work — the wearer's face is out of frame by design; no biometric identification is performed or enabled.
- Raw originals deleted under a posted retention policy — 60-day window · https://robotsdream.ai/retention.
- Every clip human-reviewed end-to-end and attested to contain no identifiable persons.
Preprocessing (disclosed)
Delivered pixels are exposure-corrected (a fixed deterministic curve — no per-frame auto-exposure, so no flicker) and the camera on-screen timestamp overlay is removed and downscaled to 1080p (a deterministic lanczos resample to a uniform delivery resolution). No automated/ML redaction. The exact ffmpeg recipe + version per clip is available on request.
Clips
- framing_01.mp4 (214s) — drilling screws in anchors
- framing_02.mp4 (300s) — placing anchors and drilling screws in anchors
- framing_03.mp4 (246s) — placing anchors and drilling screws in anchors
- framing_04.mp4 (300s) — placing anchors and drilling screws in anchors
- framing_05.mp4 (272s) — placing anchors and drilling screws in anchors
- framing_06.mp4 (300s) — placing anchors and drilling screws in anchors
- framing_07.mp4 (220s) — drilling screws in anchors, measuring for horizontal blocking piece; measuring, marking, cutting wood with circular saw for horizontal blocking piece
- framing_08.mp4 (300s) — placing horizontal blocking piece, bracing blocking piece with clamps, setting anchors and drilling screws in anchors, swapping drill bits
- framing_09.mp4 (300s) — cleaning up screws, drilling screws in anchors, packing up screws and drill bits, tidy up workspace
- framing_10.mp4 (300s) — packing up drill bits, cleaning up work space
Capture & technical
| Camera | Head-mounted action cam (POV), angled down at the task |
| Resolution | 1080p (per-clip in the sidecar) |
| Frame rate | 30 fps · H.264 |
| Audio | Removed at ingest |
| Intrinsics | OpenCV [k1,k2,p1,p2,k3] where available; reference_nominal — per-unit calibration on request |
| IMU / pose | none (honest-false) |
Structure
clips/<clip>.mp4 the video
manifests/<clip>.json per-clip: capture + rights attestation + human-review record
metadata_manifest.json index of all clips
PACKAGE_MANIFEST.json file list + sha256 (integrity)
capture_declaration.json the affirmed capture declaration (provenance)
License
CC-BY-NC-4.0 — free for non-commercial research and evaluation with attribution. Commercial training use requires a separate, non-exclusive license — contact howdy@robotsdream.ai. Footage is offered non-exclusively; the same library may be licensed to multiple buyers.
Contact
Production requests and more info: howdy@robotsdream.ai
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