Datasets:

squaredcuber
/

animacy-human-motion-large

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
generated_at: timestamp[s]
gate: struct<min_face_valid: double, min_valid_s: double, valid_minutes_definition: string, prescreen: str (... 87 chars omitted)
  child 0, min_face_valid: double
  child 1, min_valid_s: double
  child 2, valid_minutes_definition: string
  child 3, prescreen: string
  child 4, channel_cap: string
  child 5, speaker_cap: double
  child 6, speaker_cap_note: string
  child 7, audio: string
totals: struct<kept: int64, kept_hours: double, valid_hours: double, raw_valid_min: double, capped_valid_min (... 659 chars omitted)
  child 0, kept: int64
  child 1, kept_hours: double
  child 2, valid_hours: double
  child 3, raw_valid_min: double
  child 4, capped_valid_min: double
  child 5, pushed: int64
  child 6, items_by_state: struct<captured: struct<n: int64, hours: double>, capturing: struct<n: int64, hours: double>, droppe (... 76 chars omitted)
      child 0, captured: struct<n: int64, hours: double>
          child 0, n: int64
          child 1, hours: double
      child 1, capturing: struct<n: int64, hours: double>
          child 0, n: int64
          child 1, hours: double
      child 2, dropped: struct<n: int64, hours: double>
          child 0, n: int64
          child 1, hours: double
      child 3, queued: struct<n: int64, hours: double>
          child 0, n: int64
          child 1, hours: double
  child 7, speakers: int64
  child 8, hours_by_language: struct<en: double, en-US: double>
      child 0, en: double
      child 1, en-US: double
  ch
...
 (... 107 chars omitted)
  child 0, api: string
  child 1, basis: string
  child 2, agency: string
  child 3, channel_url: string
  child 4, channel_id: string
  child 5, statement: string
  child 6, license: string
  child 7, channel: string
  child 8, uploader_id: string
  child 9, upload_date: string
  child 10, webpage_url: string
n_src_frames: int64
source_file_url: string
sign_convention: string
harvest: struct<item_id: string, source_kind: string, channel_key: string, channel_name: string, speaker: str (... 277 chars omitted)
  child 0, item_id: string
  child 1, source_kind: string
  child 2, channel_key: string
  child 3, channel_name: string
  child 4, speaker: string
  child 5, series: string
  child 6, language: string
  child 7, lang_evidence: string
  child 8, chunk: int64
  child 9, chunk_start_s: double
  child 10, chunk_len_s: double
  child 11, prescreen: struct<ok: bool, n: int64, frac_one_face: double, frac_multi: double, frac_none: double, median_face (... 11 chars omitted)
      child 0, ok: bool
      child 1, n: int64
      child 2, frac_one_face: double
      child 3, frac_multi: double
      child 4, frac_none: double
      child 5, median_face_w: double
  child 12, category: string
  child 13, worker: string
arm: string
subject: string
source_url: string
audio: struct<file: string, codec: string, sr: int64, restore: string>
  child 0, file: string
  child 1, codec: string
  child 2, sr: int64
  child 3, restore: string
schema: string
src_fps: double
to
{'source': Value('string'), 'source_path': Value('string'), 'source_url': Value('string'), 'source_file_url': Value('string'), 'title': Value('string'), 'license': Value('string'), 'license_evidence': {'api': Value('string'), 'basis': Value('string'), 'agency': Value('string'), 'channel_url': Value('string'), 'channel_id': Value('string'), 'statement': Value('string'), 'license': Value('string'), 'channel': Value('string'), 'uploader_id': Value('string'), 'upload_date': Value('string'), 'webpage_url': Value('string')}, 'artist': Value('string'), 'rate_hz': Value('float64'), 'subject': Value('string'), 'arm': Value('string'), 'neutral': {'head_angles_deg': List(Value('float64')), 'head_trans_mm': List(Value('float64')), 'n_frames': Value('int64'), 'seconds': Value('float64'), 'torso_deg': List(Value('float64')), 'face_raw': {'gaze_yaw': Value('float64'), 'gaze_pitch': Value('float64'), 'brow_l_signed': Value('float64'), 'brow_r_signed': Value('float64'), 'eye_open_l': Value('float64'), 'eye_open_r': Value('float64'), 'mouth_open': Value('float64'), 'smile': Value('float64')}}, 'tool_versions': {'animacy': Value('string'), 'python': Value('string'), 'mediapipe': Value('string'), 'cv2': Value('string'), 'numpy': Value('string'), 'scipy': Value('string'), 'torch': Value('string')}, 'models': {'face': Value('string'), 'pose': Value('string'), 'models_dir': Value('string')}, 'vad': Value('string'), 'audio_backend': Value('string'), 'src_fps': Value('float64'), 'src_size': List(Valu
...
s_visible_frac': Value('float64'), 'face_crop_frac': Value('float64'), 'head_yaw_std': Value('float64'), 'head_yaw_p05_p95': List(Value('float64')), 'head_pitch_std': Value('float64'), 'head_pitch_p05_p95': List(Value('float64')), 'head_roll_std': Value('float64'), 'head_roll_p05_p95': List(Value('float64')), 'head_x_std': Value('float64'), 'head_x_p05_p95': List(Value('float64')), 'head_y_std': Value('float64'), 'head_y_p05_p95': List(Value('float64')), 'head_z_std': Value('float64'), 'head_z_p05_p95': List(Value('float64')), 'gaze_yaw_std': Value('float64'), 'gaze_yaw_p05_p95': List(Value('float64')), 'mouth_open_std': Value('float64'), 'mouth_open_p05_p95': List(Value('float64')), 'speaking_frac': Value('float64')}, 'captured_at': Value('timestamp[s]'), 'schema': Value('string'), 'harvest': {'item_id': Value('string'), 'source_kind': Value('string'), 'channel_key': Value('string'), 'channel_name': Value('string'), 'speaker': Value('string'), 'series': Value('string'), 'language': Value('string'), 'lang_evidence': Value('string'), 'chunk': Value('int64'), 'chunk_start_s': Value('float64'), 'chunk_len_s': Value('float64'), 'prescreen': {'ok': Value('bool'), 'n': Value('int64'), 'frac_one_face': Value('float64'), 'frac_multi': Value('float64'), 'frac_none': Value('float64'), 'median_face_w': Value('float64')}, 'category': Value('string'), 'worker': Value('string')}, 'audio': {'file': Value('string'), 'codec': Value('string'), 'sr': Value('int64'), 'restore': 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 483, 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 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              generated_at: timestamp[s]
              gate: struct<min_face_valid: double, min_valid_s: double, valid_minutes_definition: string, prescreen: str (... 87 chars omitted)
                child 0, min_face_valid: double
                child 1, min_valid_s: double
                child 2, valid_minutes_definition: string
                child 3, prescreen: string
                child 4, channel_cap: string
                child 5, speaker_cap: double
                child 6, speaker_cap_note: string
                child 7, audio: string
              totals: struct<kept: int64, kept_hours: double, valid_hours: double, raw_valid_min: double, capped_valid_min (... 659 chars omitted)
                child 0, kept: int64
                child 1, kept_hours: double
                child 2, valid_hours: double
                child 3, raw_valid_min: double
                child 4, capped_valid_min: double
                child 5, pushed: int64
                child 6, items_by_state: struct<captured: struct<n: int64, hours: double>, capturing: struct<n: int64, hours: double>, droppe (... 76 chars omitted)
                    child 0, captured: struct<n: int64, hours: double>
                        child 0, n: int64
                        child 1, hours: double
                    child 1, capturing: struct<n: int64, hours: double>
                        child 0, n: int64
                        child 1, hours: double
                    child 2, dropped: struct<n: int64, hours: double>
                        child 0, n: int64
                        child 1, hours: double
                    child 3, queued: struct<n: int64, hours: double>
                        child 0, n: int64
                        child 1, hours: double
                child 7, speakers: int64
                child 8, hours_by_language: struct<en: double, en-US: double>
                    child 0, en: double
                    child 1, en-US: double
                ch
              ...
               (... 107 chars omitted)
                child 0, api: string
                child 1, basis: string
                child 2, agency: string
                child 3, channel_url: string
                child 4, channel_id: string
                child 5, statement: string
                child 6, license: string
                child 7, channel: string
                child 8, uploader_id: string
                child 9, upload_date: string
                child 10, webpage_url: string
              n_src_frames: int64
              source_file_url: string
              sign_convention: string
              harvest: struct<item_id: string, source_kind: string, channel_key: string, channel_name: string, speaker: str (... 277 chars omitted)
                child 0, item_id: string
                child 1, source_kind: string
                child 2, channel_key: string
                child 3, channel_name: string
                child 4, speaker: string
                child 5, series: string
                child 6, language: string
                child 7, lang_evidence: string
                child 8, chunk: int64
                child 9, chunk_start_s: double
                child 10, chunk_len_s: double
                child 11, prescreen: struct<ok: bool, n: int64, frac_one_face: double, frac_multi: double, frac_none: double, median_face (... 11 chars omitted)
                    child 0, ok: bool
                    child 1, n: int64
                    child 2, frac_one_face: double
                    child 3, frac_multi: double
                    child 4, frac_none: double
                    child 5, median_face_w: double
                child 12, category: string
                child 13, worker: string
              arm: string
              subject: string
              source_url: string
              audio: struct<file: string, codec: string, sr: int64, restore: string>
                child 0, file: string
                child 1, codec: string
                child 2, sr: int64
                child 3, restore: string
              schema: string
              src_fps: double
              to
              {'source': Value('string'), 'source_path': Value('string'), 'source_url': Value('string'), 'source_file_url': Value('string'), 'title': Value('string'), 'license': Value('string'), 'license_evidence': {'api': Value('string'), 'basis': Value('string'), 'agency': Value('string'), 'channel_url': Value('string'), 'channel_id': Value('string'), 'statement': Value('string'), 'license': Value('string'), 'channel': Value('string'), 'uploader_id': Value('string'), 'upload_date': Value('string'), 'webpage_url': Value('string')}, 'artist': Value('string'), 'rate_hz': Value('float64'), 'subject': Value('string'), 'arm': Value('string'), 'neutral': {'head_angles_deg': List(Value('float64')), 'head_trans_mm': List(Value('float64')), 'n_frames': Value('int64'), 'seconds': Value('float64'), 'torso_deg': List(Value('float64')), 'face_raw': {'gaze_yaw': Value('float64'), 'gaze_pitch': Value('float64'), 'brow_l_signed': Value('float64'), 'brow_r_signed': Value('float64'), 'eye_open_l': Value('float64'), 'eye_open_r': Value('float64'), 'mouth_open': Value('float64'), 'smile': Value('float64')}}, 'tool_versions': {'animacy': Value('string'), 'python': Value('string'), 'mediapipe': Value('string'), 'cv2': Value('string'), 'numpy': Value('string'), 'scipy': Value('string'), 'torch': Value('string')}, 'models': {'face': Value('string'), 'pose': Value('string'), 'models_dir': Value('string')}, 'vad': Value('string'), 'audio_backend': Value('string'), 'src_fps': Value('float64'), 'src_size': List(Valu
              ...
              s_visible_frac': Value('float64'), 'face_crop_frac': Value('float64'), 'head_yaw_std': Value('float64'), 'head_yaw_p05_p95': List(Value('float64')), 'head_pitch_std': Value('float64'), 'head_pitch_p05_p95': List(Value('float64')), 'head_roll_std': Value('float64'), 'head_roll_p05_p95': List(Value('float64')), 'head_x_std': Value('float64'), 'head_x_p05_p95': List(Value('float64')), 'head_y_std': Value('float64'), 'head_y_p05_p95': List(Value('float64')), 'head_z_std': Value('float64'), 'head_z_p05_p95': List(Value('float64')), 'gaze_yaw_std': Value('float64'), 'gaze_yaw_p05_p95': List(Value('float64')), 'mouth_open_std': Value('float64'), 'mouth_open_p05_p95': List(Value('float64')), 'speaking_frac': Value('float64')}, 'captured_at': Value('timestamp[s]'), 'schema': Value('string'), 'harvest': {'item_id': Value('string'), 'source_kind': Value('string'), 'channel_key': Value('string'), 'channel_name': Value('string'), 'speaker': Value('string'), 'series': Value('string'), 'language': Value('string'), 'lang_evidence': Value('string'), 'chunk': Value('int64'), 'chunk_start_s': Value('float64'), 'chunk_len_s': Value('float64'), 'prescreen': {'ok': Value('bool'), 'n': Value('int64'), 'frac_one_face': Value('float64'), 'frac_multi': Value('float64'), 'frac_none': Value('float64'), 'median_face_w': Value('float64')}, 'category': Value('string'), 'worker': Value('string')}, 'audio': {'file': Value('string'), 'codec': Value('string'), 'sr': Value('int64'), 'restore': Value('string')}}
              because column names don't match

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

squaredcuber/animacy-human-motion-large

Canonical human conversational motion (animacy.human.v1, 30 Hz) captured at scale with animacy — the open interaction layer for expressive robots. Every clip is a directory clips/<shard>/<name>/ holding

motion.parquet — 28 channels: head 6-DoF, gaze, brows, eyes, mouth, torso, a puppet arm chain, speaking / validity flags (schema: docs/CANONICAL.md in the repo);
audio.opus — the clip's audio, mono, Opus 32 kb/s from the 16 kHz capture track, on the same clock as motion.t (ffmpeg -i audio.opus -ar 16000 -ac 1 audio.wav restores the 16 kHz wav that animacy.schema.HumanClip.load reads);
meta.json — source url, license and the machine-readable license evidence, capture settings, neutral pose, validity stats, and a harvest block (source family, channel, speaker key, language guess, chunk offset, prescreen result).

index.json is one row per clip (all shards). manifests/<shard>.json is the same for one commit.

26 clips, 2.9 hours (2.7 face-valid hours), 2 speaker keys, 2 languages.

License policy (enforced in code, not remembered per file)

Only material whose machine-readable license metadata says public domain / CC0 / CC-BY is captured; anything ND, NC, SA, or with missing license metadata is refused (scripts/fetch_sources.py::classify_license, applied by scripts/harvest/fetch.py). Evidence per source:

source	evidence recorded in `meta.json.license_evidence`
YouTube (CC search)	info-json `license` == "Creative Commons Attribution license (reuse allowed)" (CC-BY 3.0), channel id, upload date
U.S. Government channels	allowlisted official agency channel + channel id match; basis 17 U.S.C. § 105 (works of the U.S. Government). VOA clips carry a caveat about third-party newswire material
Wikimedia Commons	`videoinfo.extmetadata` LicenseShortName / License / LicenseUrl / Copyrighted=False
archive.org	item metadata `licenseurl` / `rights`

Attribution: every clip's meta.json has source_url, artist/channel, and the license label; CC-BY clips must be credited to that channel/author when redistributed. This dataset is a derived work (motion parameters + downsampled audio), not the source video.

Quality gate

Chunks of <= 600 s; prescreen (>= 60% of 16 sampled frames show exactly one face); kept if face_valid >= 60% and face_valid * duration >= 60 s. No channel contributes more than 5% of the kept seconds (fetch-time cap). Speaker keys over-merge (a channel = one speaker), so a per-speaker cap at training time is conservative.

Counts

source	hours
usgov	2.9

license	hours
Public Domain	2.9

language (guess)	hours
en	2.5
en-US	0.5

series	hours
briefing	1.9
usgov_other	0.7
address	0.3

Provenance and reproducibility

Harvested by scripts/harvest/ (crawl -> fetch -> workers -> push) on a CPU-only workstation; the harvest block in each meta.json names the worker and chunk. Full pipeline description: docs/HARVEST.md. Nothing here was captured from a source whose license metadata was missing.

Downloads last month: 26

Total file size:

77.2 MB