Datasets:

---

France-ML

/

test

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France Souveraine 2

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
row_id: int64
domain_type: large_string
record_type: large_string
discipline_id: int64
discipline_fr: large_string
field_id: large_string
field_index: int64
field_fr: large_string
source: large_string
version: large_string
language: large_string
discipline_generation_key: large_string
subdiscipline_id: large_string
subdiscipline_index: int64
subdiscipline_fr: large_string
subdiscipline_source: large_string
subdiscipline_generator_model: large_string
subdiscipline_version: large_string
generated_at_unix: int64
system_prompt: large_string
user_prompt: large_string
full_prompt: large_string
raw_generation_output: large_string
raw_generation_token_ids: large_string
raw_generation_token_texts: large_string
parsed_subdiscipline_count: int64
expected_subdiscipline_count: int64
generation_complete: bool
has_debut_marker: bool
has_fin_marker: bool
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 3925
to
{'test_row': Value('int64'), 'discipline_fr': Value('large_string'), 'expected_subdiscipline_count': Value('int64'), 'parsed_subdiscipline_count': Value('int64'), 'generation_complete': Value('bool'), 'has_debut_marker': Value('bool'), 'has_fin_marker': Value('bool'), 'system_prompt': Value('large_string'), 'user_prompt': Value('large_string'), 'full_prompt': Value('large_string'), 'raw_generation_output': Value('large_string'), 'raw_generation_token_ids': Value('large_string'), 'parsed_subdisciplines': Value('large_string'), 'subdiscipline_01': Value('large_string'), 'subdiscipline_02': Value('large_string'), 'subdiscipline_03': Value('large_string'), 'subdiscipline_04': Value('large_string'), 'subdiscipline_05': Value('large_string'), 'subdiscipline_06': Value('large_string'), 'subdiscipline_07': Value('large_string'), 'subdiscipline_08': Value('large_string'), 'subdiscipline_09': Value('large_string'), 'subdiscipline_10': Value('large_string'), 'generated_at_unix': 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/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
              row_id: int64
              domain_type: large_string
              record_type: large_string
              discipline_id: int64
              discipline_fr: large_string
              field_id: large_string
              field_index: int64
              field_fr: large_string
              source: large_string
              version: large_string
              language: large_string
              discipline_generation_key: large_string
              subdiscipline_id: large_string
              subdiscipline_index: int64
              subdiscipline_fr: large_string
              subdiscipline_source: large_string
              subdiscipline_generator_model: large_string
              subdiscipline_version: large_string
              generated_at_unix: int64
              system_prompt: large_string
              user_prompt: large_string
              full_prompt: large_string
              raw_generation_output: large_string
              raw_generation_token_ids: large_string
              raw_generation_token_texts: large_string
              parsed_subdiscipline_count: int64
              expected_subdiscipline_count: int64
              generation_complete: bool
              has_debut_marker: bool
              has_fin_marker: bool
              -- schema metadata --
              pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 3925
              to
              {'test_row': Value('int64'), 'discipline_fr': Value('large_string'), 'expected_subdiscipline_count': Value('int64'), 'parsed_subdiscipline_count': Value('int64'), 'generation_complete': Value('bool'), 'has_debut_marker': Value('bool'), 'has_fin_marker': Value('bool'), 'system_prompt': Value('large_string'), 'user_prompt': Value('large_string'), 'full_prompt': Value('large_string'), 'raw_generation_output': Value('large_string'), 'raw_generation_token_ids': Value('large_string'), 'parsed_subdisciplines': Value('large_string'), 'subdiscipline_01': Value('large_string'), 'subdiscipline_02': Value('large_string'), 'subdiscipline_03': Value('large_string'), 'subdiscipline_04': Value('large_string'), 'subdiscipline_05': Value('large_string'), 'subdiscipline_06': Value('large_string'), 'subdiscipline_07': Value('large_string'), 'subdiscipline_08': Value('large_string'), 'subdiscipline_09': Value('large_string'), 'subdiscipline_10': Value('large_string'), 'generated_at_unix': Value('int64')}
              because column names don't match