Datasets:

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Patagonia_Eval

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NüTonic 9

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
n: int64
errors: int64
passed: int64
mean_score: double
pass_rate: double
model_kind: string
expected_hits: list<item: string>
  child 0, item: string
target_id: string
caption: string
tim_injected: bool
expected_groups_hit: int64
expected_groups_total: int64
word_count: int64
quality_flags: list<item: string>
  child 0, item: string
model_id: string
score: double
model_name: string
claim_risk_hits: list<item: null>
  child 0, item: null
forbidden_hits: list<item: null>
  child 0, item: null
image_path: string
to
{'target_id': Value('string'), 'model_name': Value('string'), 'model_id': Value('string'), 'model_kind': Value('string'), 'image_path': Value('string'), 'tim_injected': Value('bool'), 'caption': Value('string'), 'score': Value('float64'), 'passed': Value('bool'), 'expected_groups_hit': Value('int64'), 'expected_groups_total': Value('int64'), 'expected_hits': List(Value('string')), 'forbidden_hits': List(Value('null')), 'claim_risk_hits': List(Value('null')), 'quality_flags': List(Value('string')), 'word_count': Value('int64')}
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
              n: int64
              errors: int64
              passed: int64
              mean_score: double
              pass_rate: double
              model_kind: string
              expected_hits: list<item: string>
                child 0, item: string
              target_id: string
              caption: string
              tim_injected: bool
              expected_groups_hit: int64
              expected_groups_total: int64
              word_count: int64
              quality_flags: list<item: string>
                child 0, item: string
              model_id: string
              score: double
              model_name: string
              claim_risk_hits: list<item: null>
                child 0, item: null
              forbidden_hits: list<item: null>
                child 0, item: null
              image_path: string
              to
              {'target_id': Value('string'), 'model_name': Value('string'), 'model_id': Value('string'), 'model_kind': Value('string'), 'image_path': Value('string'), 'tim_injected': Value('bool'), 'caption': Value('string'), 'score': Value('float64'), 'passed': Value('bool'), 'expected_groups_hit': Value('int64'), 'expected_groups_total': Value('int64'), 'expected_hits': List(Value('string')), 'forbidden_hits': List(Value('null')), 'claim_risk_hits': List(Value('null')), 'quality_flags': List(Value('string')), 'word_count': Value('int64')}
              because column names don't match