Datasets:

---

karma-works

/

receipts-analysis-eval

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
fields: struct<currency: struct<correct: int64, f1: double, gold: int64, precision: double, predicted: int64 (... 491 chars omitted)
  child 0, currency: struct<correct: int64, f1: double, gold: int64, precision: double, predicted: int64, recall: double>
      child 0, correct: int64
      child 1, f1: double
      child 2, gold: int64
      child 3, precision: double
      child 4, predicted: int64
      child 5, recall: double
  child 1, merchant_address: struct<correct: int64, f1: double, gold: int64, precision: double, predicted: int64, recall: double>
      child 0, correct: int64
      child 1, f1: double
      child 2, gold: int64
      child 3, precision: double
      child 4, predicted: int64
      child 5, recall: double
  child 2, merchant_name: struct<correct: int64, f1: double, gold: int64, precision: double, predicted: int64, recall: double>
      child 0, correct: int64
      child 1, f1: double
      child 2, gold: int64
      child 3, precision: double
      child 4, predicted: int64
      child 5, recall: double
  child 3, total_amount: struct<correct: int64, f1: double, gold: int64, precision: double, predicted: int64, recall: double>
      child 0, correct: int64
      child 1, f1: double
      child 2, gold: int64
      child 3, precision: double
      child 4, predicted: int64
      child 5, recall: double
  child 4, transaction_date: struct<correct: int64, f1: double, gold: int64, precision: double, predicted: int64, recall: double>
      child 0, correct: int64
      child 1, f1: double
      child 2, gold: int64
      child 3, precision: double
      child 4, predicted: int64
      child 5, recall: double
line_items: struct<reason: string, status: string>
  child 0, reason: string
  child 1, status: string
syntactic: struct<count: int64, json_valid_rate: double, no_extra_text_rate: double, schema_valid_rate: double>
  child 0, count: int64
  child 1, json_valid_rate: double
  child 2, no_extra_text_rate: double
  child 3, schema_valid_rate: double
variant: string
output_text: string
id: string
mode: string
to
{'id': Value('string'), 'mode': Value('string'), 'output_text': Value('string'), 'variant': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              fields: struct<currency: struct<correct: int64, f1: double, gold: int64, precision: double, predicted: int64 (... 491 chars omitted)
                child 0, currency: struct<correct: int64, f1: double, gold: int64, precision: double, predicted: int64, recall: double>
                    child 0, correct: int64
                    child 1, f1: double
                    child 2, gold: int64
                    child 3, precision: double
                    child 4, predicted: int64
                    child 5, recall: double
                child 1, merchant_address: struct<correct: int64, f1: double, gold: int64, precision: double, predicted: int64, recall: double>
                    child 0, correct: int64
                    child 1, f1: double
                    child 2, gold: int64
                    child 3, precision: double
                    child 4, predicted: int64
                    child 5, recall: double
                child 2, merchant_name: struct<correct: int64, f1: double, gold: int64, precision: double, predicted: int64, recall: double>
                    child 0, correct: int64
                    child 1, f1: double
                    child 2, gold: int64
                    child 3, precision: double
                    child 4, predicted: int64
                    child 5, recall: double
                child 3, total_amount: struct<correct: int64, f1: double, gold: int64, precision: double, predicted: int64, recall: double>
                    child 0, correct: int64
                    child 1, f1: double
                    child 2, gold: int64
                    child 3, precision: double
                    child 4, predicted: int64
                    child 5, recall: double
                child 4, transaction_date: struct<correct: int64, f1: double, gold: int64, precision: double, predicted: int64, recall: double>
                    child 0, correct: int64
                    child 1, f1: double
                    child 2, gold: int64
                    child 3, precision: double
                    child 4, predicted: int64
                    child 5, recall: double
              line_items: struct<reason: string, status: string>
                child 0, reason: string
                child 1, status: string
              syntactic: struct<count: int64, json_valid_rate: double, no_extra_text_rate: double, schema_valid_rate: double>
                child 0, count: int64
                child 1, json_valid_rate: double
                child 2, no_extra_text_rate: double
                child 3, schema_valid_rate: double
              variant: string
              output_text: string
              id: string
              mode: string
              to
              {'id': Value('string'), 'mode': Value('string'), 'output_text': Value('string'), 'variant': Value('string')}
              because column names don't match