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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
schema_version: string
episode_id: string
frame_index: int64
timestamp_ms: int64
hands: list<item: struct<handedness: string, joints_3d: list<item: list<item: double>>, camera_parameters:  (... 20 chars omitted)
  child 0, item: struct<handedness: string, joints_3d: list<item: list<item: double>>, camera_parameters: list<item:  (... 8 chars omitted)
      child 0, handedness: string
      child 1, joints_3d: list<item: list<item: double>>
          child 0, item: list<item: double>
              child 0, item: double
      child 2, camera_parameters: list<item: double>
          child 0, item: double
manifest_generation: string
output_mcap_generation: string
pipeline_version: string
output_mcap_uri: string
status: string
manifest_uri: string
to
{'manifest_generation': Value('string'), 'manifest_uri': Value('string'), 'output_mcap_generation': Value('string'), 'output_mcap_uri': Value('string'), 'pipeline_version': Value('string'), 'schema_version': Value('string'), 'status': 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
              schema_version: string
              episode_id: string
              frame_index: int64
              timestamp_ms: int64
              hands: list<item: struct<handedness: string, joints_3d: list<item: list<item: double>>, camera_parameters:  (... 20 chars omitted)
                child 0, item: struct<handedness: string, joints_3d: list<item: list<item: double>>, camera_parameters: list<item:  (... 8 chars omitted)
                    child 0, handedness: string
                    child 1, joints_3d: list<item: list<item: double>>
                        child 0, item: list<item: double>
                            child 0, item: double
                    child 2, camera_parameters: list<item: double>
                        child 0, item: double
              manifest_generation: string
              output_mcap_generation: string
              pipeline_version: string
              output_mcap_uri: string
              status: string
              manifest_uri: string
              to
              {'manifest_generation': Value('string'), 'manifest_uri': Value('string'), 'output_mcap_generation': Value('string'), 'output_mcap_uri': Value('string'), 'pipeline_version': Value('string'), 'schema_version': Value('string'), 'status': Value('string')}
              because column names don't match

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egoforce — FusionX tactile glove recordings

Egocentric manipulation recordings with FusionX JQ tactile-glove data (SeqMind deliverables), plus the scripts and Foxglove assets used to review them.

Layout

<date>/<task>/<person>/recording_NNN/
  recording_000.mcap        # cameras (h264), glove tactile/IMU (JSON), annotations
  labels/ or *.json         # QA / semantic annotation results
  output/                   # rendered review videos (force_video.mp4, summary.mp4, ...)
visualize.py                # multi-view review renderer
visualize_force.py          # force video replicating the official Foxglove panel
touchtronixrobotics.fusionx-tactile-panel-0.2.4.foxe   # official panel extension
fusionx_foxglove_annotated.json                        # Foxglove review layout

MCAP topics

  • /camera/head/rgb/h264, /camera/head/mono_{left,right}/h264, /camera/wrist/{lh,rh}/h264
  • /glove/{lh,rh}/tactile — JSON touchtronix.GloveTactileSample: finger_pressure (5×12, 0–255 ADC), palm_pressure (60), finger_bend (5), optional finger_force_N_pixels (5×12, newtons)
  • /annotations/semantic/{state,image}, /annotations/hand_pose_3d/{left,right}

Rendering a force video

pip install mcap opencv-python numpy   # plus ffmpeg on PATH
python3 visualize_force.py <recording_dir>   # -> <recording_dir>/output/force_video.mp4

Force pixels use the official fixed 0–20 N scale, colour hsl(240·(1−v/20), 90%, 50%); recordings without finger_force_N_pixels fall back to raw ADC (0–255) with the palm grid. All streams are aligned on MCAP log_time.

Known data quirks

  • 08122026/Nailing/Rohit_000: LH finger_bend and palm_pressure are all-zero for the whole recording (dead channels); LH finger_force_N_pixels has a standing bias (idle taxels up to ~7 N).
  • 06142026/Placing_Lego_Blocks/Alina_4010: no finger_force_N_pixels and no wrist cameras (head mono used instead).
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