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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
question: string
answer: string
answer_type: string
question_type: string
question_id: string
primary_object: string
objects: list<item: struct<id: string, label: string, center: list<item: double>, dims: list<item: double>, a (... 94 chars omitted)
child 0, item: struct<id: string, label: string, center: list<item: double>, dims: list<item: double>, aabb_min: li (... 82 chars omitted)
child 0, id: string
child 1, label: string
child 2, center: list<item: double>
child 0, item: double
child 3, dims: list<item: double>
child 0, item: double
child 4, aabb_min: list<item: double>
child 0, item: double
child 5, aabb_max: list<item: double>
child 0, item: double
child 6, room_index: int64
child 7, volume: double
camera_pose: struct<position: list<item: double>, target: list<item: double>, yaw: double, pitch: double, radius: (... 44 chars omitted)
child 0, position: list<item: double>
child 0, item: double
child 1, target: list<item: double>
child 0, item: double
child 2, yaw: double
child 3, pitch: double
child 4, radius: double
child 5, target_objects: list<item: string>
child 0, item: string
scene_id: string
pattern: string
trajectory_key: string
trajectory_idx: int64
num_frames: int64
reference_frame_idx: int64
video_path: string
choices: struct<A: string, B: string, C: double, D: double>
child 0, A: string
child 1, B: string
child 2, C: double
child 3, D: double
answer_text: string
answer_value: double
mc_source_type: string
num_focus_pairs: int64
num_focus_objects: int64
num_trajectories: int64
question_types: list<item: string>
child 0, item: string
num_questions: int64
focus_objects: list<item: string>
child 0, item: string
num_frames_per_trajectory: int64
trajectory_keys: list<item: string>
child 0, item: string
fps: int64
to
{'scene_id': Value('string'), 'pattern': Value('string'), 'num_trajectories': Value('int64'), 'num_questions': Value('int64'), 'num_frames_per_trajectory': Value('int64'), 'fps': Value('int64'), 'focus_objects': List(Value('string')), 'num_focus_objects': Value('int64'), 'num_focus_pairs': Value('int64'), 'question_types': List(Value('string')), 'trajectory_keys': List(Value('string'))}
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 295, 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 2281, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
question: string
answer: string
answer_type: string
question_type: string
question_id: string
primary_object: string
objects: list<item: struct<id: string, label: string, center: list<item: double>, dims: list<item: double>, a (... 94 chars omitted)
child 0, item: struct<id: string, label: string, center: list<item: double>, dims: list<item: double>, aabb_min: li (... 82 chars omitted)
child 0, id: string
child 1, label: string
child 2, center: list<item: double>
child 0, item: double
child 3, dims: list<item: double>
child 0, item: double
child 4, aabb_min: list<item: double>
child 0, item: double
child 5, aabb_max: list<item: double>
child 0, item: double
child 6, room_index: int64
child 7, volume: double
camera_pose: struct<position: list<item: double>, target: list<item: double>, yaw: double, pitch: double, radius: (... 44 chars omitted)
child 0, position: list<item: double>
child 0, item: double
child 1, target: list<item: double>
child 0, item: double
child 2, yaw: double
child 3, pitch: double
child 4, radius: double
child 5, target_objects: list<item: string>
child 0, item: string
scene_id: string
pattern: string
trajectory_key: string
trajectory_idx: int64
num_frames: int64
reference_frame_idx: int64
video_path: string
choices: struct<A: string, B: string, C: double, D: double>
child 0, A: string
child 1, B: string
child 2, C: double
child 3, D: double
answer_text: string
answer_value: double
mc_source_type: string
num_focus_pairs: int64
num_focus_objects: int64
num_trajectories: int64
question_types: list<item: string>
child 0, item: string
num_questions: int64
focus_objects: list<item: string>
child 0, item: string
num_frames_per_trajectory: int64
trajectory_keys: list<item: string>
child 0, item: string
fps: int64
to
{'scene_id': Value('string'), 'pattern': Value('string'), 'num_trajectories': Value('int64'), 'num_questions': Value('int64'), 'num_frames_per_trajectory': Value('int64'), 'fps': Value('int64'), 'focus_objects': List(Value('string')), 'num_focus_objects': Value('int64'), 'num_focus_pairs': Value('int64'), 'question_types': List(Value('string')), 'trajectory_keys': List(Value('string'))}
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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