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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
trip_id: large_string
user_id: double
user_name: large_string
customer_name: string
timestamp: large_string
date: large_string
month: large_string
start_place: large_string
start_gps_lat: double
start_gps_lon: double
end_place: large_string
end_gps_lat: double
end_gps_lon: double
distance_km: double
status: large_string
purpose: large_string
place_name: large_string
-- schema metadata --
huggingface: '{"info": {"features": {"trip_id": {"dtype": "large_string",' + 918
to
{'trip_id': Value('string'), 'user_id': Value('int64'), 'user_name': Value('string'), 'timestamp': Value('string'), 'date': Value('string'), 'month': Value('string'), 'start_place': Value('string'), 'start_gps_lat': Value('float64'), 'start_gps_lon': Value('float64'), 'end_place': Value('string'), 'end_gps_lat': Value('float64'), 'end_gps_lon': Value('float64'), 'distance_km': Value('float64'), 'status': 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/parquet/parquet.py", line 220, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ~~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 156, 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
              trip_id: large_string
              user_id: double
              user_name: large_string
              customer_name: string
              timestamp: large_string
              date: large_string
              month: large_string
              start_place: large_string
              start_gps_lat: double
              start_gps_lon: double
              end_place: large_string
              end_gps_lat: double
              end_gps_lon: double
              distance_km: double
              status: large_string
              purpose: large_string
              place_name: large_string
              -- schema metadata --
              huggingface: '{"info": {"features": {"trip_id": {"dtype": "large_string",' + 918
              to
              {'trip_id': Value('string'), 'user_id': Value('int64'), 'user_name': Value('string'), 'timestamp': Value('string'), 'date': Value('string'), 'month': Value('string'), 'start_place': Value('string'), 'start_gps_lat': Value('float64'), 'start_gps_lon': Value('float64'), 'end_place': Value('string'), 'end_gps_lat': Value('float64'), 'end_gps_lon': Value('float64'), 'distance_km': Value('float64'), 'status': Value('string')}
              because column names don't match

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