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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
source_rosbags: list<item: string>
child 0, item: string
conversion_config: struct<robot_type: string, task_name: string, fps: int64, camera_rotations: struct<cam_left_wrist: i (... 300 chars omitted)
child 0, robot_type: string
child 1, task_name: string
child 2, fps: int64
child 3, camera_rotations: struct<cam_left_wrist: int64, cam_right_wrist: int64>
child 0, cam_left_wrist: int64
child 1, cam_right_wrist: int64
child 4, selected_end_effector_topics: list<item: null>
child 0, item: null
child 5, selected_cameras: list<item: string>
child 0, item: string
child 6, output_dataset_name: string
child 7, image_resize: null
child 8, selected_joint_state_topics: list<item: string>
child 0, item: string
child 9, primitive_instructions: list<item: null>
child 0, item: null
child 10, selected_action_topics: list<item: string>
child 0, item: string
data_folder: string
task_name: string
meta_data: struct<task_duration: int64, valid_duration: list<item: int64>>
child 0, task_duration: int64
child 1, valid_duration: list<item: int64>
child 0, item: int64
sub_task_annotation: list<item: struct<sub_task_idx: int64, sub_task_instruction: string, frame_duration: list<item: int6 (... 4 chars omitted)
child 0, item: struct<sub_task_idx: int64, sub_task_instruction: string, frame_duration: list<item: int64>>
child 0, sub_task_idx: int64
child 1, sub_task_instruction: string
child 2, frame_duration: list<item: int64>
child 0, item: int64
to
{'task_name': Value('string'), 'data_folder': Value('string'), 'meta_data': {'task_duration': Value('int64'), 'valid_duration': List(Value('int64'))}, 'sub_task_annotation': List({'sub_task_idx': Value('int64'), 'sub_task_instruction': Value('string'), 'frame_duration': List(Value('int64'))})}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
source_rosbags: list<item: string>
child 0, item: string
conversion_config: struct<robot_type: string, task_name: string, fps: int64, camera_rotations: struct<cam_left_wrist: i (... 300 chars omitted)
child 0, robot_type: string
child 1, task_name: string
child 2, fps: int64
child 3, camera_rotations: struct<cam_left_wrist: int64, cam_right_wrist: int64>
child 0, cam_left_wrist: int64
child 1, cam_right_wrist: int64
child 4, selected_end_effector_topics: list<item: null>
child 0, item: null
child 5, selected_cameras: list<item: string>
child 0, item: string
child 6, output_dataset_name: string
child 7, image_resize: null
child 8, selected_joint_state_topics: list<item: string>
child 0, item: string
child 9, primitive_instructions: list<item: null>
child 0, item: null
child 10, selected_action_topics: list<item: string>
child 0, item: string
data_folder: string
task_name: string
meta_data: struct<task_duration: int64, valid_duration: list<item: int64>>
child 0, task_duration: int64
child 1, valid_duration: list<item: int64>
child 0, item: int64
sub_task_annotation: list<item: struct<sub_task_idx: int64, sub_task_instruction: string, frame_duration: list<item: int6 (... 4 chars omitted)
child 0, item: struct<sub_task_idx: int64, sub_task_instruction: string, frame_duration: list<item: int64>>
child 0, sub_task_idx: int64
child 1, sub_task_instruction: string
child 2, frame_duration: list<item: int64>
child 0, item: int64
to
{'task_name': Value('string'), 'data_folder': Value('string'), 'meta_data': {'task_duration': Value('int64'), 'valid_duration': List(Value('int64'))}, 'sub_task_annotation': List({'sub_task_idx': Value('int64'), 'sub_task_instruction': Value('string'), 'frame_duration': List(Value('int64'))})}
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_99999_pick_place_snack_JM_MCAP
Created with Cyclo Intelligence by ROBOTIS.
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