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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 match

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