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
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
video_remux_status: string
task_instruction: string
transcoding_status: string
device_serial: string
timestamp: timestamp[s]
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
task_num: string
transcoding_cameras_failed: struct<>
task_name: string
robot_type: string
format_version: 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': {}}
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
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
video_remux_status: string
task_instruction: string
transcoding_status: string
device_serial: string
timestamp: timestamp[s]
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
task_num: string
transcoding_cameras_failed: struct<>
task_name: string
robot_type: string
format_version: 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': {}}
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.
Task_999999_ACT_test_JC_MCAP
Created with Cyclo Intelligence by ROBOTIS.
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