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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
vector: struct<e_minority: double, e_interest: double, e_non: double, e_subsidiary: double, e_accounting: do (... 354469 chars omitted)
  child 0, e_minority: double
  child 1, e_interest: double
  child 2, e_non: double
  child 3, e_subsidiary: double
  child 4, e_accounting: double
  child 5, e_is: double
  child 6, e_stock: double
  child 7, e_interests: double
  child 8, e_minorities: double
  child 9, e_definition: double
  child 10, e_magnitude: double
  child 11, e_%: double
  child 12, e_controlling: double
  child 13, e_owned: double
  child 14, e_subordinate: double
  child 15, e_corporation: double
  child 16, e_parent: double
  child 17, e_portion: double
  child 18, e_accountant: double
  child 19, e_outstanding: double
  child 20, e_karen: double
  child 21, e_ethnic: double
  child 22, e_controlled: double
  child 23, e_##i: double
  child 24, e_control: double
  child 25, e_sub: double
  child 26, e_loan: double
  child 27, e_max: double
  child 28, e_stocks: double
  child 29, e_not: double
  child 30, e_temporary: double
  child 31, e_minimal: double
  child 32, e_amount: double
  child 33, e_company: double
  child 34, e_small: double
  child 35, e_account: double
  child 36, e_##con: double
  child 37, e_morgan: double
  child 38, e_without: double
  child 39, e_owner: double
  child 40, e_corp: double
  child 41, e_un: double
  child 42, e_corporations: double
  child 43, e_cease: double
  child 44, e_mia: double
  child 45, e_shareholder: doub
...
 double
  child 19099, e_ying: double
  child 19100, e_##guard: double
  child 19101, e_chesapeake: double
  child 19102, e_jiang: double
  child 19103, e_chung: double
  child 19104, e_##gler: double
  child 19105, e_grenada: double
  child 19106, e_##cam: double
  child 19107, e_##cm: double
  child 19108, e_decommissioned: double
  child 19109, e_honey: double
  child 19110, e_jarvis: double
  child 19111, e_dirk: double
  child 19112, e_1836: double
  child 19113, e_xavier: double
  child 19114, e_hawthorne: double
  child 19115, e_ecosystems: double
  child 19116, e_jarrett: double
  child 19117, e_##mara: double
  child 19118, e_baking: double
  child 19119, e_brewer: double
  child 19120, e_habitats: double
  child 19121, e_##aar: double
  child 19122, e_pam: double
  child 19123, e_##orf: double
  child 19124, e_##dorf: double
  child 19125, e_ang: double
  child 19126, e_ithaca: double
  child 19127, e_ipa: double
  child 19128, e_additions: double
  child 19129, e_##17: double
  child 19130, e_expands: double
  child 19131, e_monumental: double
  child 19132, e_##the: double
  child 19133, e_simultaneous: double
  child 19134, e_sentinel: double
  child 19135, e_##gist: double
  child 19136, e_overcome: double
  child 19137, e_##ges: double
  child 19138, e_cruising: double
model_name: string
batch_size: int64
max_length: int64
en_vocab_size: int64
num_shards: int64
dataset_split: string
dataset_config: string
m_vocab_size: int64
dataset_name: string
pooling: string
to
{'model_name': Value('string'), 'dataset_name': Value('string'), 'dataset_config': Value('string'), 'dataset_split': Value('string'), 'num_shards': Value('int64'), 'en_vocab_size': Value('int64'), 'm_vocab_size': Value('int64'), 'pooling': Value('string'), 'max_length': Value('int64'), 'batch_size': 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 299, 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
              id: string
              vector: struct<e_minority: double, e_interest: double, e_non: double, e_subsidiary: double, e_accounting: do (... 354469 chars omitted)
                child 0, e_minority: double
                child 1, e_interest: double
                child 2, e_non: double
                child 3, e_subsidiary: double
                child 4, e_accounting: double
                child 5, e_is: double
                child 6, e_stock: double
                child 7, e_interests: double
                child 8, e_minorities: double
                child 9, e_definition: double
                child 10, e_magnitude: double
                child 11, e_%: double
                child 12, e_controlling: double
                child 13, e_owned: double
                child 14, e_subordinate: double
                child 15, e_corporation: double
                child 16, e_parent: double
                child 17, e_portion: double
                child 18, e_accountant: double
                child 19, e_outstanding: double
                child 20, e_karen: double
                child 21, e_ethnic: double
                child 22, e_controlled: double
                child 23, e_##i: double
                child 24, e_control: double
                child 25, e_sub: double
                child 26, e_loan: double
                child 27, e_max: double
                child 28, e_stocks: double
                child 29, e_not: double
                child 30, e_temporary: double
                child 31, e_minimal: double
                child 32, e_amount: double
                child 33, e_company: double
                child 34, e_small: double
                child 35, e_account: double
                child 36, e_##con: double
                child 37, e_morgan: double
                child 38, e_without: double
                child 39, e_owner: double
                child 40, e_corp: double
                child 41, e_un: double
                child 42, e_corporations: double
                child 43, e_cease: double
                child 44, e_mia: double
                child 45, e_shareholder: doub
              ...
               double
                child 19099, e_ying: double
                child 19100, e_##guard: double
                child 19101, e_chesapeake: double
                child 19102, e_jiang: double
                child 19103, e_chung: double
                child 19104, e_##gler: double
                child 19105, e_grenada: double
                child 19106, e_##cam: double
                child 19107, e_##cm: double
                child 19108, e_decommissioned: double
                child 19109, e_honey: double
                child 19110, e_jarvis: double
                child 19111, e_dirk: double
                child 19112, e_1836: double
                child 19113, e_xavier: double
                child 19114, e_hawthorne: double
                child 19115, e_ecosystems: double
                child 19116, e_jarrett: double
                child 19117, e_##mara: double
                child 19118, e_baking: double
                child 19119, e_brewer: double
                child 19120, e_habitats: double
                child 19121, e_##aar: double
                child 19122, e_pam: double
                child 19123, e_##orf: double
                child 19124, e_##dorf: double
                child 19125, e_ang: double
                child 19126, e_ithaca: double
                child 19127, e_ipa: double
                child 19128, e_additions: double
                child 19129, e_##17: double
                child 19130, e_expands: double
                child 19131, e_monumental: double
                child 19132, e_##the: double
                child 19133, e_simultaneous: double
                child 19134, e_sentinel: double
                child 19135, e_##gist: double
                child 19136, e_overcome: double
                child 19137, e_##ges: double
                child 19138, e_cruising: double
              model_name: string
              batch_size: int64
              max_length: int64
              en_vocab_size: int64
              num_shards: int64
              dataset_split: string
              dataset_config: string
              m_vocab_size: int64
              dataset_name: string
              pooling: string
              to
              {'model_name': Value('string'), 'dataset_name': Value('string'), 'dataset_config': Value('string'), 'dataset_split': Value('string'), 'num_shards': Value('int64'), 'en_vocab_size': Value('int64'), 'm_vocab_size': Value('int64'), 'pooling': Value('string'), 'max_length': Value('int64'), 'batch_size': Value('int64')}
              because column names don't match

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