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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
Customer ID: string
Recency: double
Frequency: double
Monetary: double
QuantitySum: double
AvgUnitPrice: double
UniqueProducts: double
AvgBasketValue: double
Frequency_3M: double
Monetary_3M: double
QuantitySum_3M: double
UniqueProducts_3M: double
Frequency_6M: double
Monetary_6M: double
QuantitySum_6M: double
UniqueProducts_6M: double
AvgBasketValue_3M_Mean: double
Recency_3M_Mean: double
Monetary_Change_1M: double
Frequency_Change_1M: double
Recency_Change_1M: double
LoyaltyScore: double
Hidden_State: double
Dormancy_Label: double
Downgrade_Label: double
-- schema metadata --
huggingface: '{"info": {"features": {"Customer ID": {"dtype": "string", "' + 1402
to
{'Recency': Value('int64'), 'Frequency': Value('int64'), 'Monetary': Value('float64'), 'QuantitySum': Value('int64'), 'AvgUnitPrice': Value('float64'), 'UniqueProducts': Value('int64'), 'AvgBasketValue': Value('float64'), 'Frequency_3M': Value('int64'), 'Monetary_3M': Value('float64'), 'QuantitySum_3M': Value('int64'), 'UniqueProducts_3M': Value('int64'), 'Frequency_6M': Value('int64'), 'Monetary_6M': Value('float64'), 'QuantitySum_6M': Value('int64'), 'UniqueProducts_6M': Value('int64'), 'AvgBasketValue_3M_Mean': Value('float64'), 'Recency_3M_Mean': Value('int64'), 'Monetary_Change_1M': Value('float64'), 'Frequency_Change_1M': Value('int64'), 'Recency_Change_1M': Value('int64'), 'LoyaltyScore': Value('float64'), 'Hidden_State': Value('int64'), 'Dormancy_Label': Value('int64'), 'Downgrade_Label': 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/parquet/parquet.py", line 209, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 147, 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
              Customer ID: string
              Recency: double
              Frequency: double
              Monetary: double
              QuantitySum: double
              AvgUnitPrice: double
              UniqueProducts: double
              AvgBasketValue: double
              Frequency_3M: double
              Monetary_3M: double
              QuantitySum_3M: double
              UniqueProducts_3M: double
              Frequency_6M: double
              Monetary_6M: double
              QuantitySum_6M: double
              UniqueProducts_6M: double
              AvgBasketValue_3M_Mean: double
              Recency_3M_Mean: double
              Monetary_Change_1M: double
              Frequency_Change_1M: double
              Recency_Change_1M: double
              LoyaltyScore: double
              Hidden_State: double
              Dormancy_Label: double
              Downgrade_Label: double
              -- schema metadata --
              huggingface: '{"info": {"features": {"Customer ID": {"dtype": "string", "' + 1402
              to
              {'Recency': Value('int64'), 'Frequency': Value('int64'), 'Monetary': Value('float64'), 'QuantitySum': Value('int64'), 'AvgUnitPrice': Value('float64'), 'UniqueProducts': Value('int64'), 'AvgBasketValue': Value('float64'), 'Frequency_3M': Value('int64'), 'Monetary_3M': Value('float64'), 'QuantitySum_3M': Value('int64'), 'UniqueProducts_3M': Value('int64'), 'Frequency_6M': Value('int64'), 'Monetary_6M': Value('float64'), 'QuantitySum_6M': Value('int64'), 'UniqueProducts_6M': Value('int64'), 'AvgBasketValue_3M_Mean': Value('float64'), 'Recency_3M_Mean': Value('int64'), 'Monetary_Change_1M': Value('float64'), 'Frequency_Change_1M': Value('int64'), 'Recency_Change_1M': Value('int64'), 'LoyaltyScore': Value('float64'), 'Hidden_State': Value('int64'), 'Dormancy_Label': Value('int64'), 'Downgrade_Label': Value('int64')}
              because column names don't match

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