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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
clip_id: string
source_episode: string
source_camera: string
source_video: string
start_time_s: double
end_time_s: double
start_frame: int64
end_frame_exclusive: int64
duration_s: double
object_name: string
action_label: string
description: string
evidence: string
quality: struct<gripper_visible_start: bool, gripper_visible_end: bool, motion_smooth: bool, single_object_on (... 65 chars omitted)
child 0, gripper_visible_start: bool
child 1, gripper_visible_end: bool
child 2, motion_smooth: bool
child 3, single_object_only: bool
child 4, object_clear: bool
child 5, meaningful_successful_action: bool
vlm: struct<provider: string, verification_confidence: double>
child 0, provider: string
child 1, verification_confidence: double
fps: int64
action_dict: struct<cartesian_position: list<item: list<item: double>>, cartesian_velocity: list<item: list<item: (... 206 chars omitted)
child 0, cartesian_position: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 1, cartesian_velocity: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 2, gripper_position: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 3, gripper_velocity: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 4, joint_position: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 5, joint_velocity: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
source_file_path: string
num_steps: int64
language_instruction_3: string
observations: struct<cartesian_position: list<item: list<item: double>>, gripper_position: list<item: list<item: d (... 56 chars omitted)
child 0, cartesian_position: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 1, gripper_position: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 2, joint_position: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
is_first: list<item: bool>
child 0, item: bool
is_last: list<item: bool>
child 0, item: bool
actions: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
language_instruction: string
rewards: list<item: double>
child 0, item: double
recording_folderpath: string
is_terminal: list<item: bool>
child 0, item: bool
discounts: list<item: double>
child 0, item: double
image_shape: list<item: int64>
child 0, item: int64
language_instruction_2: string
to
{'num_steps': Value('int64'), 'fps': Value('int64'), 'source_file_path': Value('string'), 'recording_folderpath': Value('string'), 'language_instruction': Value('string'), 'language_instruction_2': Value('string'), 'language_instruction_3': Value('string'), 'actions': List(List(Value('float64'))), 'action_dict': {'cartesian_position': List(List(Value('float64'))), 'cartesian_velocity': List(List(Value('float64'))), 'gripper_position': List(List(Value('float64'))), 'gripper_velocity': List(List(Value('float64'))), 'joint_position': List(List(Value('float64'))), 'joint_velocity': List(List(Value('float64')))}, 'observations': {'cartesian_position': List(List(Value('float64'))), 'gripper_position': List(List(Value('float64'))), 'joint_position': List(List(Value('float64')))}, 'rewards': List(Value('float64')), 'discounts': List(Value('float64')), 'is_first': List(Value('bool')), 'is_last': List(Value('bool')), 'is_terminal': List(Value('bool')), 'image_shape': 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 2815, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, 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 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, 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 130, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
clip_id: string
source_episode: string
source_camera: string
source_video: string
start_time_s: double
end_time_s: double
start_frame: int64
end_frame_exclusive: int64
duration_s: double
object_name: string
action_label: string
description: string
evidence: string
quality: struct<gripper_visible_start: bool, gripper_visible_end: bool, motion_smooth: bool, single_object_on (... 65 chars omitted)
child 0, gripper_visible_start: bool
child 1, gripper_visible_end: bool
child 2, motion_smooth: bool
child 3, single_object_only: bool
child 4, object_clear: bool
child 5, meaningful_successful_action: bool
vlm: struct<provider: string, verification_confidence: double>
child 0, provider: string
child 1, verification_confidence: double
fps: int64
action_dict: struct<cartesian_position: list<item: list<item: double>>, cartesian_velocity: list<item: list<item: (... 206 chars omitted)
child 0, cartesian_position: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 1, cartesian_velocity: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 2, gripper_position: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 3, gripper_velocity: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 4, joint_position: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 5, joint_velocity: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
source_file_path: string
num_steps: int64
language_instruction_3: string
observations: struct<cartesian_position: list<item: list<item: double>>, gripper_position: list<item: list<item: d (... 56 chars omitted)
child 0, cartesian_position: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 1, gripper_position: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 2, joint_position: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
is_first: list<item: bool>
child 0, item: bool
is_last: list<item: bool>
child 0, item: bool
actions: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
language_instruction: string
rewards: list<item: double>
child 0, item: double
recording_folderpath: string
is_terminal: list<item: bool>
child 0, item: bool
discounts: list<item: double>
child 0, item: double
image_shape: list<item: int64>
child 0, item: int64
language_instruction_2: string
to
{'num_steps': Value('int64'), 'fps': Value('int64'), 'source_file_path': Value('string'), 'recording_folderpath': Value('string'), 'language_instruction': Value('string'), 'language_instruction_2': Value('string'), 'language_instruction_3': Value('string'), 'actions': List(List(Value('float64'))), 'action_dict': {'cartesian_position': List(List(Value('float64'))), 'cartesian_velocity': List(List(Value('float64'))), 'gripper_position': List(List(Value('float64'))), 'gripper_velocity': List(List(Value('float64'))), 'joint_position': List(List(Value('float64'))), 'joint_velocity': List(List(Value('float64')))}, 'observations': {'cartesian_position': List(List(Value('float64'))), 'gripper_position': List(List(Value('float64'))), 'joint_position': List(List(Value('float64')))}, 'rewards': List(Value('float64')), 'discounts': List(Value('float64')), 'is_first': List(Value('bool')), 'is_last': List(Value('bool')), 'is_terminal': List(Value('bool')), 'image_shape': 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.
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