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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
engine: string
input_jsonl: string
pending_jsonl: string
save_dir: string
started_at: timestamp[s]
finished_at: timestamp[s]
exit_code: int64
nonempty_mp4: int64
num_output_frames: int64
resolution: string
name: string
negative_prompt: string
inference_type: string
prompt_path: null
guidance: int64
chunk_size: int64
chunk_overlap: int64
input_path: string
seed: int64
prompt: string
num_steps: int64
enable_autoregressive: bool
to
{'name': Value('string'), 'prompt_path': Value('null'), 'prompt': Value('string'), 'negative_prompt': Value('string'), 'seed': Value('int64'), 'guidance': Value('int64'), 'inference_type': Value('string'), 'input_path': Value('string'), 'resolution': Value('string'), 'num_output_frames': Value('int64'), 'num_steps': Value('int64'), 'enable_autoregressive': Value('bool'), 'chunk_size': Value('int64'), 'chunk_overlap': 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 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 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
              engine: string
              input_jsonl: string
              pending_jsonl: string
              save_dir: string
              started_at: timestamp[s]
              finished_at: timestamp[s]
              exit_code: int64
              nonempty_mp4: int64
              num_output_frames: int64
              resolution: string
              name: string
              negative_prompt: string
              inference_type: string
              prompt_path: null
              guidance: int64
              chunk_size: int64
              chunk_overlap: int64
              input_path: string
              seed: int64
              prompt: string
              num_steps: int64
              enable_autoregressive: bool
              to
              {'name': Value('string'), 'prompt_path': Value('null'), 'prompt': Value('string'), 'negative_prompt': Value('string'), 'seed': Value('int64'), 'guidance': Value('int64'), 'inference_type': Value('string'), 'input_path': Value('string'), 'resolution': Value('string'), 'num_output_frames': Value('int64'), 'num_steps': Value('int64'), 'enable_autoregressive': Value('bool'), 'chunk_size': Value('int64'), 'chunk_overlap': Value('int64')}
              because column names don't match

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