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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
script: string
build_timestamp: string
inputs: list<item: struct<name: string, path: string, md5: string, row_count: int64>>
  child 0, item: struct<name: string, path: string, md5: string, row_count: int64>
      child 0, name: string
      child 1, path: string
      child 2, md5: string
      child 3, row_count: int64
outputs: list<item: struct<name: string, path: string, record_count: int64, md5: string, size_bytes: int64>>
  child 0, item: struct<name: string, path: string, record_count: int64, md5: string, size_bytes: int64>
      child 0, name: string
      child 1, path: string
      child 2, record_count: int64
      child 3, md5: string
      child 4, size_bytes: int64
filters: list<item: null>
  child 0, item: null
facts: struct<num_columns: int64, num_rows: int64>
  child 0, num_columns: int64
  child 1, num_rows: int64
source_file: string
flags: struct<27-2011: struct<a_median: string, a_pct25: string, a_pct75: string, a_mean: string>, 27-2031: (... 671 chars omitted)
  child 0, 27-2011: struct<a_median: string, a_pct25: string, a_pct75: string, a_mean: string>
      child 0, a_median: string
      child 1, a_pct25: string
      child 2, a_pct75: string
      child 3, a_mean: string
  child 1, 27-2031: struct<a_median: string, a_pct25: string, a_pct75: string, a_mean: string>
      child 0, a_median: string
      child 1, a_pct25: string
      child 2, a_pct75: string
      child 3, a_mean: string
  child 2, 27-2042: struct<a_median: string, a_pct25: string, a_pc
...
>
      child 0, a_median: string
      child 1, a_pct25: string
      child 2, a_pct75: string
      child 3, a_mean: string
  child 3, 27-2091: struct<a_median: string, a_pct25: string, a_pct75: string, a_mean: string>
      child 0, a_median: string
      child 1, a_pct25: string
      child 2, a_pct75: string
      child 3, a_mean: string
  child 4, 29-1214: struct<a_median: string, a_pct25: string, a_pct75: string, a_mean: string>
      child 0, a_median: string
      child 1, a_pct25: string
      child 2, a_pct75: string
      child 3, a_mean: string
  child 5, 29-1218: struct<a_median: string, a_pct25: string, a_pct75: string, a_mean: string>
      child 0, a_median: string
      child 1, a_pct25: string
      child 2, a_pct75: string
      child 3, a_mean: string
  child 6, 29-1242: struct<a_median: string, a_pct25: string, a_pct75: string, a_mean: string>
      child 0, a_median: string
      child 1, a_pct25: string
      child 2, a_pct75: string
      child 3, a_mean: string
  child 7, 49-2092: struct<a_median: string, a_pct25: string, a_pct75: string, a_mean: string>
      child 0, a_median: string
      child 1, a_pct25: string
      child 2, a_pct75: string
      child 3, a_mean: string
  child 8, 51-8093: struct<a_median: string, a_pct25: string, a_pct75: string, a_mean: string>
      child 0, a_median: string
      child 1, a_pct25: string
      child 2, a_pct75: string
      child 3, a_mean: string
annual_topcode_threshold: int64
area: string
release: string
to
{'release': Value('string'), 'area': Value('string'), 'annual_topcode_threshold': Value('int64'), 'source_file': Value('string'), 'flags': {'27-2011': {'a_median': Value('string'), 'a_pct25': Value('string'), 'a_pct75': Value('string'), 'a_mean': Value('string')}, '27-2031': {'a_median': Value('string'), 'a_pct25': Value('string'), 'a_pct75': Value('string'), 'a_mean': Value('string')}, '27-2042': {'a_median': Value('string'), 'a_pct25': Value('string'), 'a_pct75': Value('string'), 'a_mean': Value('string')}, '27-2091': {'a_median': Value('string'), 'a_pct25': Value('string'), 'a_pct75': Value('string'), 'a_mean': Value('string')}, '29-1214': {'a_median': Value('string'), 'a_pct25': Value('string'), 'a_pct75': Value('string'), 'a_mean': Value('string')}, '29-1218': {'a_median': Value('string'), 'a_pct25': Value('string'), 'a_pct75': Value('string'), 'a_mean': Value('string')}, '29-1242': {'a_median': Value('string'), 'a_pct25': Value('string'), 'a_pct75': Value('string'), 'a_mean': Value('string')}, '49-2092': {'a_median': Value('string'), 'a_pct25': Value('string'), 'a_pct75': Value('string'), 'a_mean': Value('string')}, '51-8093': {'a_median': Value('string'), 'a_pct25': Value('string'), 'a_pct75': Value('string'), 'a_mean': Value('string')}}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 483, 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 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              script: string
              build_timestamp: string
              inputs: list<item: struct<name: string, path: string, md5: string, row_count: int64>>
                child 0, item: struct<name: string, path: string, md5: string, row_count: int64>
                    child 0, name: string
                    child 1, path: string
                    child 2, md5: string
                    child 3, row_count: int64
              outputs: list<item: struct<name: string, path: string, record_count: int64, md5: string, size_bytes: int64>>
                child 0, item: struct<name: string, path: string, record_count: int64, md5: string, size_bytes: int64>
                    child 0, name: string
                    child 1, path: string
                    child 2, record_count: int64
                    child 3, md5: string
                    child 4, size_bytes: int64
              filters: list<item: null>
                child 0, item: null
              facts: struct<num_columns: int64, num_rows: int64>
                child 0, num_columns: int64
                child 1, num_rows: int64
              source_file: string
              flags: struct<27-2011: struct<a_median: string, a_pct25: string, a_pct75: string, a_mean: string>, 27-2031: (... 671 chars omitted)
                child 0, 27-2011: struct<a_median: string, a_pct25: string, a_pct75: string, a_mean: string>
                    child 0, a_median: string
                    child 1, a_pct25: string
                    child 2, a_pct75: string
                    child 3, a_mean: string
                child 1, 27-2031: struct<a_median: string, a_pct25: string, a_pct75: string, a_mean: string>
                    child 0, a_median: string
                    child 1, a_pct25: string
                    child 2, a_pct75: string
                    child 3, a_mean: string
                child 2, 27-2042: struct<a_median: string, a_pct25: string, a_pc
              ...
              >
                    child 0, a_median: string
                    child 1, a_pct25: string
                    child 2, a_pct75: string
                    child 3, a_mean: string
                child 3, 27-2091: struct<a_median: string, a_pct25: string, a_pct75: string, a_mean: string>
                    child 0, a_median: string
                    child 1, a_pct25: string
                    child 2, a_pct75: string
                    child 3, a_mean: string
                child 4, 29-1214: struct<a_median: string, a_pct25: string, a_pct75: string, a_mean: string>
                    child 0, a_median: string
                    child 1, a_pct25: string
                    child 2, a_pct75: string
                    child 3, a_mean: string
                child 5, 29-1218: struct<a_median: string, a_pct25: string, a_pct75: string, a_mean: string>
                    child 0, a_median: string
                    child 1, a_pct25: string
                    child 2, a_pct75: string
                    child 3, a_mean: string
                child 6, 29-1242: struct<a_median: string, a_pct25: string, a_pct75: string, a_mean: string>
                    child 0, a_median: string
                    child 1, a_pct25: string
                    child 2, a_pct75: string
                    child 3, a_mean: string
                child 7, 49-2092: struct<a_median: string, a_pct25: string, a_pct75: string, a_mean: string>
                    child 0, a_median: string
                    child 1, a_pct25: string
                    child 2, a_pct75: string
                    child 3, a_mean: string
                child 8, 51-8093: struct<a_median: string, a_pct25: string, a_pct75: string, a_mean: string>
                    child 0, a_median: string
                    child 1, a_pct25: string
                    child 2, a_pct75: string
                    child 3, a_mean: string
              annual_topcode_threshold: int64
              area: string
              release: string
              to
              {'release': Value('string'), 'area': Value('string'), 'annual_topcode_threshold': Value('int64'), 'source_file': Value('string'), 'flags': {'27-2011': {'a_median': Value('string'), 'a_pct25': Value('string'), 'a_pct75': Value('string'), 'a_mean': Value('string')}, '27-2031': {'a_median': Value('string'), 'a_pct25': Value('string'), 'a_pct75': Value('string'), 'a_mean': Value('string')}, '27-2042': {'a_median': Value('string'), 'a_pct25': Value('string'), 'a_pct75': Value('string'), 'a_mean': Value('string')}, '27-2091': {'a_median': Value('string'), 'a_pct25': Value('string'), 'a_pct75': Value('string'), 'a_mean': Value('string')}, '29-1214': {'a_median': Value('string'), 'a_pct25': Value('string'), 'a_pct75': Value('string'), 'a_mean': Value('string')}, '29-1218': {'a_median': Value('string'), 'a_pct25': Value('string'), 'a_pct75': Value('string'), 'a_mean': Value('string')}, '29-1242': {'a_median': Value('string'), 'a_pct25': Value('string'), 'a_pct75': Value('string'), 'a_mean': Value('string')}, '49-2092': {'a_median': Value('string'), 'a_pct25': Value('string'), 'a_pct75': Value('string'), 'a_mean': Value('string')}, '51-8093': {'a_median': Value('string'), 'a_pct25': Value('string'), 'a_pct75': Value('string'), 'a_mean': Value('string')}}}
              because column names don't match

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