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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
id: string
prompt: string
seconds: double
fps: double
num_frames: int64
model: string
seed: int64
denoising_steps: int64
generation_key: struct<prompt: string, seconds: double, steps: int64, seed: int64, model: string, post_processing: b (... 20 chars omitted)
  child 0, prompt: string
  child 1, seconds: double
  child 2, steps: int64
  child 3, seed: int64
  child 4, model: string
  child 5, post_processing: bool
  child 6, schema: string
bone_names: list<item: string>
  child 0, item: string
parents: list<item: int64>
  child 0, item: int64
local_quats_wxyz: list<item: list<item: list<item: double>>>
  child 0, item: list<item: list<item: double>>
      child 0, item: list<item: double>
          child 0, item: double
global_quats_xyzw: list<item: list<item: list<item: double>>>
  child 0, item: list<item: list<item: double>>
      child 0, item: list<item: double>
          child 0, item: double
root_positions: list<item: list<item: double>>
  child 0, item: list<item: double>
      child 0, item: double
posed_joints: list<item: list<item: list<item: double>>>
  child 0, item: list<item: list<item: double>>
      child 0, item: list<item: double>
          child 0, item: double
created_at: int64
created_by: string
created_by_name: string
continues_from: struct<source_id: string, frame: int64>
  child 0, source_id: string
  child 1, frame: int64
reference_pose: list<item: double>
  child 0, item: double
to
{'id': Value('string'), 'prompt': Value('string'), 'seconds': Value('float64'), 'fps': Value('float64'), 'num_frames': Value('int64'), 'model': Value('string'), 'seed': Value('int64'), 'denoising_steps': Value('int64'), 'bone_names': List(Value('string')), 'parents': List(Value('int64')), 'reference_pose': List(Value('float64')), 'local_quats_wxyz': List(List(List(Value('float64')))), 'global_quats_xyzw': List(List(List(Value('float64')))), 'root_positions': List(List(Value('float64'))), 'posed_joints': List(List(List(Value('float64')))), 'created_by': Value('string'), 'created_by_name': Value('string'), 'continues_from': {'source_id': Value('string'), 'frame': Value('int64')}, 'created_at': 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
              id: string
              prompt: string
              seconds: double
              fps: double
              num_frames: int64
              model: string
              seed: int64
              denoising_steps: int64
              generation_key: struct<prompt: string, seconds: double, steps: int64, seed: int64, model: string, post_processing: b (... 20 chars omitted)
                child 0, prompt: string
                child 1, seconds: double
                child 2, steps: int64
                child 3, seed: int64
                child 4, model: string
                child 5, post_processing: bool
                child 6, schema: string
              bone_names: list<item: string>
                child 0, item: string
              parents: list<item: int64>
                child 0, item: int64
              local_quats_wxyz: list<item: list<item: list<item: double>>>
                child 0, item: list<item: list<item: double>>
                    child 0, item: list<item: double>
                        child 0, item: double
              global_quats_xyzw: list<item: list<item: list<item: double>>>
                child 0, item: list<item: list<item: double>>
                    child 0, item: list<item: double>
                        child 0, item: double
              root_positions: list<item: list<item: double>>
                child 0, item: list<item: double>
                    child 0, item: double
              posed_joints: list<item: list<item: list<item: double>>>
                child 0, item: list<item: list<item: double>>
                    child 0, item: list<item: double>
                        child 0, item: double
              created_at: int64
              created_by: string
              created_by_name: string
              continues_from: struct<source_id: string, frame: int64>
                child 0, source_id: string
                child 1, frame: int64
              reference_pose: list<item: double>
                child 0, item: double
              to
              {'id': Value('string'), 'prompt': Value('string'), 'seconds': Value('float64'), 'fps': Value('float64'), 'num_frames': Value('int64'), 'model': Value('string'), 'seed': Value('int64'), 'denoising_steps': Value('int64'), 'bone_names': List(Value('string')), 'parents': List(Value('int64')), 'reference_pose': List(Value('float64')), 'local_quats_wxyz': List(List(List(Value('float64')))), 'global_quats_xyzw': List(List(List(Value('float64')))), 'root_positions': List(List(Value('float64'))), 'posed_joints': List(List(List(Value('float64')))), 'created_by': Value('string'), 'created_by_name': Value('string'), 'continues_from': {'source_id': Value('string'), 'frame': Value('int64')}, 'created_at': Value('int64')}
              because column names don't match

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