Dataset Viewer
Duplicate
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
callback_queue_bytes_current: int64
diagnostics_mode: string
diagnostics_path: null
first_recv_ns: int64
frames_dropped_invalid: int64
frames_dropped_queue: int64
frames_metadata_written: int64
frames_received: int64
frames_remuxed: int64
frames_written: int64
last_recv_ns: int64
max_callback_queue_bytes: int64
max_callback_queue_items: int64
max_enqueue_wait_ns: int64
max_header_ahead_ns: int64
max_header_behind_ns: int64
max_metadata_flush_ns: int64
max_metadata_queue_items: int64
max_raw_queue_bytes: int64
max_raw_queue_items: int64
max_raw_write_ns: int64
metadata_error: null
mp4_path: string
name: string
pressure_warning_count: int64
raw_path: string
raw_queue_bytes_current: int64
raw_write_error: null
remux_duration_ns: int64
remux_error: null
remux_status: string
sidecar_path: string
soft_callback_queue_bytes: int64
soft_callback_queue_frames: int64
soft_metadata_queue_rows: int64
soft_raw_queue_bytes: int64
soft_raw_queue_frames: int64
timestamp_future_warning_count: int64
timestamp_past_warning_count: int64
timestamp_warning_count: int64
topic: string
task_name: 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
timestamp: timestamp[s]
task_num: string
episode_index: int64
transcoding_status: string
video_remux_status: string
device_serial: string
robot_type: string
task_instruction: string
format_version: string
transcoding_cameras_failed: struct<>
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': {}}
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
              callback_queue_bytes_current: int64
              diagnostics_mode: string
              diagnostics_path: null
              first_recv_ns: int64
              frames_dropped_invalid: int64
              frames_dropped_queue: int64
              frames_metadata_written: int64
              frames_received: int64
              frames_remuxed: int64
              frames_written: int64
              last_recv_ns: int64
              max_callback_queue_bytes: int64
              max_callback_queue_items: int64
              max_enqueue_wait_ns: int64
              max_header_ahead_ns: int64
              max_header_behind_ns: int64
              max_metadata_flush_ns: int64
              max_metadata_queue_items: int64
              max_raw_queue_bytes: int64
              max_raw_queue_items: int64
              max_raw_write_ns: int64
              metadata_error: null
              mp4_path: string
              name: string
              pressure_warning_count: int64
              raw_path: string
              raw_queue_bytes_current: int64
              raw_write_error: null
              remux_duration_ns: int64
              remux_error: null
              remux_status: string
              sidecar_path: string
              soft_callback_queue_bytes: int64
              soft_callback_queue_frames: int64
              soft_metadata_queue_rows: int64
              soft_raw_queue_bytes: int64
              soft_raw_queue_frames: int64
              timestamp_future_warning_count: int64
              timestamp_past_warning_count: int64
              timestamp_warning_count: int64
              topic: string
              task_name: 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
              timestamp: timestamp[s]
              task_num: string
              episode_index: int64
              transcoding_status: string
              video_remux_status: string
              device_serial: string
              robot_type: string
              task_instruction: string
              format_version: string
              transcoding_cameras_failed: struct<>
              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': {}}
              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.

Task_1_screwing_MCAP

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