Datasets:

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stanford-star

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the-join-preprocessed

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Stanford Tabular and Relational (STAR) Project 2

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
files: struct<column_index: string, nodes: string, offsets: string, p2f_adj: string, table_info: string, te (... 11 chars omitted)
  child 0, column_index: string
  child 1, nodes: string
  child 2, offsets: string
  child 3, p2f_adj: string
  child 4, table_info: string
  child 5, text: string
format_version: int64
name: string
num_db_tables: int64
num_nodes: int64
num_task_tables: int64
num_text_strings: int64
source: string
tasks: list<item: null>
  child 0, item: null
text_embeddings: struct<all-MiniLM-L12-v2: struct<file: string, d_text: int64>>
  child 0, all-MiniLM-L12-v2: struct<file: string, d_text: int64>
      child 0, file: string
      child 1, d_text: int64
annual_entry_exit of station: int64
train_id of train_station: int64
station_id of station: int64
annual_interchanges of station: int64
main_services of station: int64
name of train: int64
total_passengers of station: int64
location of station: int64
time of train: int64
number_of_platforms of station: int64
name of station: int64
train_id of train: int64
station_id of train_station: int64
service of train: int64
to
{'time of train': Value('int64'), 'station_id of train_station': Value('int64'), 'annual_interchanges of station': Value('int64'), 'number_of_platforms of station': Value('int64'), 'service of train': Value('int64'), 'train_id of train': Value('int64'), 'name of station': Value('int64'), 'location of station': Value('int64'), 'main_services of station': Value('int64'), 'station_id of station': Value('int64'), 'name of train': Value('int64'), 'annual_entry_exit of station': Value('int64'), 'total_passengers of station': Value('int64'), 'train_id of train_station': Value('int64')}
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 478, 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
              files: struct<column_index: string, nodes: string, offsets: string, p2f_adj: string, table_info: string, te (... 11 chars omitted)
                child 0, column_index: string
                child 1, nodes: string
                child 2, offsets: string
                child 3, p2f_adj: string
                child 4, table_info: string
                child 5, text: string
              format_version: int64
              name: string
              num_db_tables: int64
              num_nodes: int64
              num_task_tables: int64
              num_text_strings: int64
              source: string
              tasks: list<item: null>
                child 0, item: null
              text_embeddings: struct<all-MiniLM-L12-v2: struct<file: string, d_text: int64>>
                child 0, all-MiniLM-L12-v2: struct<file: string, d_text: int64>
                    child 0, file: string
                    child 1, d_text: int64
              annual_entry_exit of station: int64
              train_id of train_station: int64
              station_id of station: int64
              annual_interchanges of station: int64
              main_services of station: int64
              name of train: int64
              total_passengers of station: int64
              location of station: int64
              time of train: int64
              number_of_platforms of station: int64
              name of station: int64
              train_id of train: int64
              station_id of train_station: int64
              service of train: int64
              to
              {'time of train': Value('int64'), 'station_id of train_station': Value('int64'), 'annual_interchanges of station': Value('int64'), 'number_of_platforms of station': Value('int64'), 'service of train': Value('int64'), 'train_id of train': Value('int64'), 'name of station': Value('int64'), 'location of station': Value('int64'), 'main_services of station': Value('int64'), 'station_id of station': Value('int64'), 'name of train': Value('int64'), 'annual_entry_exit of station': Value('int64'), 'total_passengers of station': Value('int64'), 'train_id of train_station': Value('int64')}
              because column names don't match