Datasets:

---

offCanada

/

CGF_Recipes

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Open Food Facts in Canada 14

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
recipe_id: int64
recipe_name: string
recipe_url: string
image_url: string
servings: string
prep_time: string
cook_time: string
category: null
ingredients: list<element: string>
  child 0, element: string
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 1144
to
{'recipe_id': Value('string'), 'recipe_name': Value('string'), 'recipe_url': Value('string'), 'ingredient_original': Value('string'), 'ingredient_normalized': Value('string'), 'ingredient_category': Value('string'), 'search_query': Value('string'), 'search_keywords': List(Value('string')), 'search_filters': Value('string'), 'search_category': Value('string'), 'voila_search_url': Value('string'), 'should_display_products': List(Value('string')), 'should_not_display_products': List(Value('string')), 'expected_primary_product': Value('string'), 'reasoning': 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
              recipe_id: int64
              recipe_name: string
              recipe_url: string
              image_url: string
              servings: string
              prep_time: string
              cook_time: string
              category: null
              ingredients: list<element: string>
                child 0, element: string
              -- schema metadata --
              pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 1144
              to
              {'recipe_id': Value('string'), 'recipe_name': Value('string'), 'recipe_url': Value('string'), 'ingredient_original': Value('string'), 'ingredient_normalized': Value('string'), 'ingredient_category': Value('string'), 'search_query': Value('string'), 'search_keywords': List(Value('string')), 'search_filters': Value('string'), 'search_category': Value('string'), 'voila_search_url': Value('string'), 'should_display_products': List(Value('string')), 'should_not_display_products': List(Value('string')), 'expected_primary_product': Value('string'), 'reasoning': Value('string')}
              because column names don't match