Datasets:

---

Kgshop

/

Konka

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
products: list<item: struct<name: string, price: double, wholesale_price: double, min_wholesale: int64, descri (... 101 chars omitted)
  child 0, item: struct<name: string, price: double, wholesale_price: double, min_wholesale: int64, description: stri (... 89 chars omitted)
      child 0, name: string
      child 1, price: double
      child 2, wholesale_price: double
      child 3, min_wholesale: int64
      child 4, description: string
      child 5, category: string
      child 6, colors: list<item: null>
          child 0, item: null
      child 7, photos: list<item: null>
          child 0, item: null
      child 8, discount: null
categories: list<item: string>
  child 0, item: string
history: list<item: struct<time: string, action: string, product: string, color: string, amount: int64>>
  child 0, item: struct<time: string, action: string, product: string, color: string, amount: int64>
      child 0, time: string
      child 1, action: string
      child 2, product: string
      child 3, color: string
      child 4, amount: int64
to
{'products': List({'name': Value('string'), 'description': Value('string'), 'colors': List({'name': Value('string'), 'warehouse_rolls': Value('int64'), 'shop_rolls': Value('int64')})}), 'history': List({'time': Value('string'), 'action': Value('string'), 'product': Value('string'), 'color': Value('string'), 'amount': Value('int64')})}
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/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
              products: list<item: struct<name: string, price: double, wholesale_price: double, min_wholesale: int64, descri (... 101 chars omitted)
                child 0, item: struct<name: string, price: double, wholesale_price: double, min_wholesale: int64, description: stri (... 89 chars omitted)
                    child 0, name: string
                    child 1, price: double
                    child 2, wholesale_price: double
                    child 3, min_wholesale: int64
                    child 4, description: string
                    child 5, category: string
                    child 6, colors: list<item: null>
                        child 0, item: null
                    child 7, photos: list<item: null>
                        child 0, item: null
                    child 8, discount: null
              categories: list<item: string>
                child 0, item: string
              history: list<item: struct<time: string, action: string, product: string, color: string, amount: int64>>
                child 0, item: struct<time: string, action: string, product: string, color: string, amount: int64>
                    child 0, time: string
                    child 1, action: string
                    child 2, product: string
                    child 3, color: string
                    child 4, amount: int64
              to
              {'products': List({'name': Value('string'), 'description': Value('string'), 'colors': List({'name': Value('string'), 'warehouse_rolls': Value('int64'), 'shop_rolls': Value('int64')})}), 'history': List({'time': Value('string'), 'action': Value('string'), 'product': Value('string'), 'color': Value('string'), 'amount': Value('int64')})}
              because column names don't match