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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
model: string
with_image: struct<correct: int64, total: int64, accuracy: double>
  child 0, correct: int64
  child 1, total: int64
  child 2, accuracy: double
without_image: struct<correct: int64, total: int64, accuracy: double>
  child 0, correct: int64
  child 1, total: int64
  child 2, accuracy: double
samples: list<item: struct<sample_dir: string, items: list<item: struct<question_type: string, question: stri (... 210 chars omitted)
  child 0, item: struct<sample_dir: string, items: list<item: struct<question_type: string, question: string, options (... 198 chars omitted)
      child 0, sample_dir: string
      child 1, items: list<item: struct<question_type: string, question: string, options: list<item: string>, correct_inde (... 163 chars omitted)
          child 0, item: struct<question_type: string, question: string, options: list<item: string>, correct_index: int64, w (... 151 chars omitted)
              child 0, question_type: string
              child 1, question: string
              child 2, options: list<item: string>
                  child 0, item: string
              child 3, correct_index: int64
              child 4, with_image: struct<response: string, pred_index: int64, is_correct: bool>
                  child 0, response: string
                  child 1, pred_index: int64
                  child 2, is_correct: bool
              child 5, without_image: struct<response: string, pred_index: int64, is_correct: bool>
                  child 0, response: string
                  child 1, pred_index: int64
                  child 2, is_correct: bool
items: list<item: struct<question_type: string, question: string, options: list<item: string>, correct_inde (... 163 chars omitted)
  child 0, item: struct<question_type: string, question: string, options: list<item: string>, correct_index: int64, w (... 151 chars omitted)
      child 0, question_type: string
      child 1, question: string
      child 2, options: list<item: string>
          child 0, item: string
      child 3, correct_index: int64
      child 4, with_image: struct<response: string, pred_index: int64, is_correct: bool>
          child 0, response: string
          child 1, pred_index: int64
          child 2, is_correct: bool
      child 5, without_image: struct<response: string, pred_index: int64, is_correct: bool>
          child 0, response: string
          child 1, pred_index: int64
          child 2, is_correct: bool
sample_dir: string
to
{'sample_dir': Value('string'), 'items': List({'question_type': Value('string'), 'question': Value('string'), 'options': List(Value('string')), 'correct_index': Value('int64'), 'with_image': {'response': Value('string'), 'pred_index': Value('int64'), 'is_correct': Value('bool')}, 'without_image': {'response': Value('string'), 'pred_index': Value('int64'), 'is_correct': Value('bool')}})}
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
              model: string
              with_image: struct<correct: int64, total: int64, accuracy: double>
                child 0, correct: int64
                child 1, total: int64
                child 2, accuracy: double
              without_image: struct<correct: int64, total: int64, accuracy: double>
                child 0, correct: int64
                child 1, total: int64
                child 2, accuracy: double
              samples: list<item: struct<sample_dir: string, items: list<item: struct<question_type: string, question: stri (... 210 chars omitted)
                child 0, item: struct<sample_dir: string, items: list<item: struct<question_type: string, question: string, options (... 198 chars omitted)
                    child 0, sample_dir: string
                    child 1, items: list<item: struct<question_type: string, question: string, options: list<item: string>, correct_inde (... 163 chars omitted)
                        child 0, item: struct<question_type: string, question: string, options: list<item: string>, correct_index: int64, w (... 151 chars omitted)
                            child 0, question_type: string
                            child 1, question: string
                            child 2, options: list<item: string>
                                child 0, item: string
                            child 3, correct_index: int64
                            child 4, with_image: struct<response: string, pred_index: int64, is_correct: bool>
                                child 0, response: string
                                child 1, pred_index: int64
                                child 2, is_correct: bool
                            child 5, without_image: struct<response: string, pred_index: int64, is_correct: bool>
                                child 0, response: string
                                child 1, pred_index: int64
                                child 2, is_correct: bool
              items: list<item: struct<question_type: string, question: string, options: list<item: string>, correct_inde (... 163 chars omitted)
                child 0, item: struct<question_type: string, question: string, options: list<item: string>, correct_index: int64, w (... 151 chars omitted)
                    child 0, question_type: string
                    child 1, question: string
                    child 2, options: list<item: string>
                        child 0, item: string
                    child 3, correct_index: int64
                    child 4, with_image: struct<response: string, pred_index: int64, is_correct: bool>
                        child 0, response: string
                        child 1, pred_index: int64
                        child 2, is_correct: bool
                    child 5, without_image: struct<response: string, pred_index: int64, is_correct: bool>
                        child 0, response: string
                        child 1, pred_index: int64
                        child 2, is_correct: bool
              sample_dir: string
              to
              {'sample_dir': Value('string'), 'items': List({'question_type': Value('string'), 'question': Value('string'), 'options': List(Value('string')), 'correct_index': Value('int64'), 'with_image': {'response': Value('string'), 'pred_index': Value('int64'), 'is_correct': Value('bool')}, 'without_image': {'response': Value('string'), 'pred_index': Value('int64'), 'is_correct': Value('bool')}})}
              because column names don't match

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