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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
qid: string
split: string
db_id: string
question: string
gold_sql: string
raw_output: string
status: string
error_message: string
pred_rows: int64
gold_rows: int64
prompt_tokens: int64
new_tokens: int64
run: string
verdict_counts: struct<success: int64, failure: int64>
  child 0, success: int64
  child 1, failure: int64
n: int64
oracle: string
success_rate: double
auditkit_summary: string
crosscheck_agree_with_harness: string
to
{'run': Value('string'), 'auditkit_summary': Value('string'), 'verdict_counts': {'success': Value('int64'), 'failure': Value('int64')}, 'n': Value('int64'), 'success_rate': Value('float64'), 'crosscheck_agree_with_harness': Value('string'), 'oracle': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                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 129, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 544, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 361, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              qid: string
              split: string
              db_id: string
              question: string
              gold_sql: string
              raw_output: string
              status: string
              error_message: string
              pred_rows: int64
              gold_rows: int64
              prompt_tokens: int64
              new_tokens: int64
              run: string
              verdict_counts: struct<success: int64, failure: int64>
                child 0, success: int64
                child 1, failure: int64
              n: int64
              oracle: string
              success_rate: double
              auditkit_summary: string
              crosscheck_agree_with_harness: string
              to
              {'run': Value('string'), 'auditkit_summary': Value('string'), 'verdict_counts': {'success': Value('int64'), 'failure': Value('int64')}, 'n': Value('int64'), 'success_rate': Value('float64'), 'crosscheck_agree_with_harness': Value('string'), 'oracle': Value('string')}
              because column names don't match

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