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Dongkkka
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Task_000608_Upright_Water_Bottle_Hand_Intern_MCAP

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Split (1)

train

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
name: string
topic: string
frames_written: int64
frames_metadata_written: int64
frames_remuxed: int64
first_recv_ns: int64
last_recv_ns: int64
remux_status: string
mp4_path: string
sidecar_path: string
derived: bool
source_recorder_stats: string
source_video_frame_range_half_open: list<item: int64>
  child 0, item: int64
encoding: string
timestamp: timestamp[s]
task_num: string
robot_type: string
video_remux_status: string
task_name: string
transcoding_status: string
composition: struct<source_task_num: string, source_episode_index: int64, source_split_episode_path: string, outp (... 24 chars omitted)
  child 0, source_task_num: string
  child 1, source_episode_index: int64
  child 2, source_split_episode_path: string
  child 3, output_episode_index: int64
task_instruction_ko: string
format_version: string
derivation: struct<kind: string, phase: int64, source_episode_index: int64, source_episode_path: string, source_ (... 209 chars omitted)
  child 0, kind: string
  child 1, phase: int64
  child 2, source_episode_index: int64
  child 3, source_episode_path: string
  child 4, source_task_instruction: string
  child 5, source_video_frame_range_half_open: list<item: int64>
      child 0, item: int64
  child 6, boundary_header_stamp_ns: int64
  child 7, mcap_partition_clock: string
  child 8, absolute_timestamps_preserved: bool
  child 9, boundary_definition: string
segments: list<item: struct<sub_task_instruction: string, frame_duration: list<item: double>>>
  child 0, item: struct<sub_task_instruction: string, frame_duration: list<item: double>>
      child 0, sub_task_instruction: string
      child 1, frame_duration: list<item: double>
          child 0, item: double
transcoding_cameras_failed: struct<>
task_instruction: string
device_serial: string
episode_index: int64
to
{'task_instruction': Value('string'), 'task_num': Value('string'), 'task_name': Value('string'), 'robot_type': Value('string'), 'device_serial': Value('string'), 'episode_index': Value('int64'), 'timestamp': Value('timestamp[s]'), 'format_version': Value('string'), 'segments': List({'sub_task_instruction': Value('string'), 'frame_duration': List(Value('float64'))}), 'transcoding_status': Value('string'), 'video_remux_status': Value('string'), 'transcoding_cameras_failed': {}, 'task_instruction_ko': Value('string'), 'derivation': {'kind': Value('string'), 'phase': Value('int64'), 'source_episode_index': Value('int64'), 'source_episode_path': Value('string'), 'source_task_instruction': Value('string'), 'source_video_frame_range_half_open': List(Value('int64')), 'boundary_header_stamp_ns': Value('int64'), 'mcap_partition_clock': Value('string'), 'absolute_timestamps_preserved': Value('bool'), 'boundary_definition': Value('string')}, 'composition': {'source_task_num': Value('string'), 'source_episode_index': Value('int64'), 'source_split_episode_path': Value('string'), 'output_episode_index': Value('int64')}}
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
              name: string
              topic: string
              frames_written: int64
              frames_metadata_written: int64
              frames_remuxed: int64
              first_recv_ns: int64
              last_recv_ns: int64
              remux_status: string
              mp4_path: string
              sidecar_path: string
              derived: bool
              source_recorder_stats: string
              source_video_frame_range_half_open: list<item: int64>
                child 0, item: int64
              encoding: string
              timestamp: timestamp[s]
              task_num: string
              robot_type: string
              video_remux_status: string
              task_name: string
              transcoding_status: string
              composition: struct<source_task_num: string, source_episode_index: int64, source_split_episode_path: string, outp (... 24 chars omitted)
                child 0, source_task_num: string
                child 1, source_episode_index: int64
                child 2, source_split_episode_path: string
                child 3, output_episode_index: int64
              task_instruction_ko: string
              format_version: string
              derivation: struct<kind: string, phase: int64, source_episode_index: int64, source_episode_path: string, source_ (... 209 chars omitted)
                child 0, kind: string
                child 1, phase: int64
                child 2, source_episode_index: int64
                child 3, source_episode_path: string
                child 4, source_task_instruction: string
                child 5, source_video_frame_range_half_open: list<item: int64>
                    child 0, item: int64
                child 6, boundary_header_stamp_ns: int64
                child 7, mcap_partition_clock: string
                child 8, absolute_timestamps_preserved: bool
                child 9, boundary_definition: string
              segments: list<item: struct<sub_task_instruction: string, frame_duration: list<item: double>>>
                child 0, item: struct<sub_task_instruction: string, frame_duration: list<item: double>>
                    child 0, sub_task_instruction: string
                    child 1, frame_duration: list<item: double>
                        child 0, item: double
              transcoding_cameras_failed: struct<>
              task_instruction: string
              device_serial: string
              episode_index: int64
              to
              {'task_instruction': Value('string'), 'task_num': Value('string'), 'task_name': Value('string'), 'robot_type': Value('string'), 'device_serial': Value('string'), 'episode_index': Value('int64'), 'timestamp': Value('timestamp[s]'), 'format_version': Value('string'), 'segments': List({'sub_task_instruction': Value('string'), 'frame_duration': List(Value('float64'))}), 'transcoding_status': Value('string'), 'video_remux_status': Value('string'), 'transcoding_cameras_failed': {}, 'task_instruction_ko': Value('string'), 'derivation': {'kind': Value('string'), 'phase': Value('int64'), 'source_episode_index': Value('int64'), 'source_episode_path': Value('string'), 'source_task_instruction': Value('string'), 'source_video_frame_range_half_open': List(Value('int64')), 'boundary_header_stamp_ns': Value('int64'), 'mcap_partition_clock': Value('string'), 'absolute_timestamps_preserved': Value('bool'), 'boundary_definition': Value('string')}, 'composition': {'source_task_num': Value('string'), 'source_episode_index': Value('int64'), 'source_split_episode_path': Value('string'), 'output_episode_index': Value('int64')}}
              because column names don't match

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Task_000608_Upright_Water_Bottle_Hand_Intern_MCAP

SH5 bimanual water-pouring demonstrations: upright bottle and place objects down.

159 episodes, numbered 0–158.
Episodes 0–80 originate from Task 000519; episodes 81–158 originate from Task 000608 (original episodes 4–82, excluding 56).
The phase boundary is the start of final bottle uprighting after pouring. Uprighting and object placement belong to the second phase.
source_mapping.csv records the original episode numbers.

Each episode contains MCAP, synchronized video timestamp sidecars, recorded robot URDF and camera metadata. Message payloads and absolute timestamps are retained from the physical phase split. See composition_receipt.json for composition details. Historical absolute paths in provenance describe the producer workspace.

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