Datasets:

---

GSMB

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aya-drift-v2-logs

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Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
lang: string
gold: string
pred: string
domain_token_f1_mean: double
mgsm_per_lang: struct<en: struct<acc: double, n: int64>, es: struct<acc: double, n: int64>, bn: struct<acc: double, (... 46 chars omitted)
  child 0, en: struct<acc: double, n: int64>
      child 0, acc: double
      child 1, n: int64
  child 1, es: struct<acc: double, n: int64>
      child 0, acc: double
      child 1, n: int64
  child 2, bn: struct<acc: double, n: int64>
      child 0, acc: double
      child 1, n: int64
  child 3, sw: struct<acc: double, n: int64>
      child 0, acc: double
      child 1, n: int64
mgsm_mean: double
domain_token_f1: struct<hi: struct<token_f1: double, n: int64>, bn: struct<token_f1: double, n: int64>, ta: struct<to (... 26 chars omitted)
  child 0, hi: struct<token_f1: double, n: int64>
      child 0, token_f1: double
      child 1, n: int64
  child 1, bn: struct<token_f1: double, n: int64>
      child 0, token_f1: double
      child 1, n: int64
  child 2, ta: struct<token_f1: double, n: int64>
      child 0, token_f1: double
      child 1, n: int64
mgsm_n: int64
to
{'mgsm_per_lang': {'en': {'acc': Value('float64'), 'n': Value('int64')}, 'es': {'acc': Value('float64'), 'n': Value('int64')}, 'bn': {'acc': Value('float64'), 'n': Value('int64')}, 'sw': {'acc': Value('float64'), 'n': Value('int64')}}, 'mgsm_mean': Value('float64'), 'mgsm_n': Value('int64'), 'domain_token_f1': {'hi': {'token_f1': Value('float64'), 'n': Value('int64')}, 'bn': {'token_f1': Value('float64'), 'n': Value('int64')}, 'ta': {'token_f1': Value('float64'), 'n': Value('int64')}}, 'domain_token_f1_mean': Value('float64')}
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 544, 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 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              lang: string
              gold: string
              pred: string
              domain_token_f1_mean: double
              mgsm_per_lang: struct<en: struct<acc: double, n: int64>, es: struct<acc: double, n: int64>, bn: struct<acc: double, (... 46 chars omitted)
                child 0, en: struct<acc: double, n: int64>
                    child 0, acc: double
                    child 1, n: int64
                child 1, es: struct<acc: double, n: int64>
                    child 0, acc: double
                    child 1, n: int64
                child 2, bn: struct<acc: double, n: int64>
                    child 0, acc: double
                    child 1, n: int64
                child 3, sw: struct<acc: double, n: int64>
                    child 0, acc: double
                    child 1, n: int64
              mgsm_mean: double
              domain_token_f1: struct<hi: struct<token_f1: double, n: int64>, bn: struct<token_f1: double, n: int64>, ta: struct<to (... 26 chars omitted)
                child 0, hi: struct<token_f1: double, n: int64>
                    child 0, token_f1: double
                    child 1, n: int64
                child 1, bn: struct<token_f1: double, n: int64>
                    child 0, token_f1: double
                    child 1, n: int64
                child 2, ta: struct<token_f1: double, n: int64>
                    child 0, token_f1: double
                    child 1, n: int64
              mgsm_n: int64
              to
              {'mgsm_per_lang': {'en': {'acc': Value('float64'), 'n': Value('int64')}, 'es': {'acc': Value('float64'), 'n': Value('int64')}, 'bn': {'acc': Value('float64'), 'n': Value('int64')}, 'sw': {'acc': Value('float64'), 'n': Value('int64')}}, 'mgsm_mean': Value('float64'), 'mgsm_n': Value('int64'), 'domain_token_f1': {'hi': {'token_f1': Value('float64'), 'n': Value('int64')}, 'bn': {'token_f1': Value('float64'), 'n': Value('int64')}, 'ta': {'token_f1': Value('float64'), 'n': Value('int64')}}, 'domain_token_f1_mean': Value('float64')}
              because column names don't match