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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
ok: bool
gates: list<item: struct<name: string, pass: bool, file: string, settled: int64, line: int64, note: string, (... 287 chars omitted)
  child 0, item: struct<name: string, pass: bool, file: string, settled: int64, line: int64, note: string, expect: st (... 275 chars omitted)
      child 0, name: string
      child 1, pass: bool
      child 2, file: string
      child 3, settled: int64
      child 4, line: int64
      child 5, note: string
      child 6, expect: struct<mmid-293: string, mmid-294: string, mmid-295: string, mmid-296: string>
          child 0, mmid-293: string
          child 1, mmid-294: string
          child 2, mmid-295: string
          child 3, mmid-296: string
      child 7, n: int64
      child 8, stdout_tail: string
      child 9, stderr_tail: string
      child 10, resultRuns: int64
      child 11, matchFinished: bool
      child 12, confidence: double
      child 13, refuseReason: string
      child 14, battingTeam: string
      child 15, betOutcome: string
      child 16, bad: list<item: null>
          child 0, item: null
failures: list<item: null>
  child 0, item: null
marketKind: string
betId: string
wrongReason: string
line: int64
competition: string
settlementId: string
eventName: string
homeName: string
lesson: string
awayName: string
side: string
wrongNote: string
correctOutcome: string
selectionName: string
to
{'betId': Value('string'), 'settlementId': Value('string'), 'correctOutcome': Value('string'), 'side': Value('string'), 'selectionName': Value('string'), 'line': Value('int64'), 'marketKind': Value('string'), 'eventName': Value('string'), 'homeName': Value('string'), 'awayName': Value('string'), 'competition': Value('string'), 'wrongNote': Value('string'), 'wrongReason': Value('string'), 'lesson': 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 489, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/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/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              ok: bool
              gates: list<item: struct<name: string, pass: bool, file: string, settled: int64, line: int64, note: string, (... 287 chars omitted)
                child 0, item: struct<name: string, pass: bool, file: string, settled: int64, line: int64, note: string, expect: st (... 275 chars omitted)
                    child 0, name: string
                    child 1, pass: bool
                    child 2, file: string
                    child 3, settled: int64
                    child 4, line: int64
                    child 5, note: string
                    child 6, expect: struct<mmid-293: string, mmid-294: string, mmid-295: string, mmid-296: string>
                        child 0, mmid-293: string
                        child 1, mmid-294: string
                        child 2, mmid-295: string
                        child 3, mmid-296: string
                    child 7, n: int64
                    child 8, stdout_tail: string
                    child 9, stderr_tail: string
                    child 10, resultRuns: int64
                    child 11, matchFinished: bool
                    child 12, confidence: double
                    child 13, refuseReason: string
                    child 14, battingTeam: string
                    child 15, betOutcome: string
                    child 16, bad: list<item: null>
                        child 0, item: null
              failures: list<item: null>
                child 0, item: null
              marketKind: string
              betId: string
              wrongReason: string
              line: int64
              competition: string
              settlementId: string
              eventName: string
              homeName: string
              lesson: string
              awayName: string
              side: string
              wrongNote: string
              correctOutcome: string
              selectionName: string
              to
              {'betId': Value('string'), 'settlementId': Value('string'), 'correctOutcome': Value('string'), 'side': Value('string'), 'selectionName': Value('string'), 'line': Value('int64'), 'marketKind': Value('string'), 'eventName': Value('string'), 'homeName': Value('string'), 'awayName': Value('string'), 'competition': Value('string'), 'wrongNote': Value('string'), 'wrongReason': Value('string'), 'lesson': Value('string')}
              because column names don't match

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