Datasets:

---

arinpt

/

narc-results

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
model: string
idx: int64
pred: string
correct: bool
text: string
entropy_r2: double
entropy_pairs: list<item: struct<judge: string, idx: int64, H_self: double, H_proxy: double>>
  child 0, item: struct<judge: string, idx: int64, H_self: double, H_proxy: double>
      child 0, judge: string
      child 1, idx: int64
      child 2, H_self: double
      child 3, H_proxy: double
table: list<item: struct<judge: string, ILSP_orig_pct: double, ILSP_upd_pct: double, N: int64, rel_delta_pc (... 32 chars omitted)
  child 0, item: struct<judge: string, ILSP_orig_pct: double, ILSP_upd_pct: double, N: int64, rel_delta_pct: double,  (... 20 chars omitted)
      child 0, judge: string
      child 1, ILSP_orig_pct: double
      child 2, ILSP_upd_pct: double
      child 3, N: int64
      child 4, rel_delta_pct: double
      child 5, p_one_sided: double
n_entropy_pairs: int64
to
{'table': List({'judge': Value('string'), 'ILSP_orig_pct': Value('float64'), 'ILSP_upd_pct': Value('float64'), 'N': Value('int64'), 'rel_delta_pct': Value('float64'), 'p_one_sided': Value('float64')}), 'entropy_r2': Value('float64'), 'n_entropy_pairs': Value('int64'), 'entropy_pairs': List({'judge': Value('string'), 'idx': Value('int64'), 'H_self': Value('float64'), 'H_proxy': Value('float64')})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 478, 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
              model: string
              idx: int64
              pred: string
              correct: bool
              text: string
              entropy_r2: double
              entropy_pairs: list<item: struct<judge: string, idx: int64, H_self: double, H_proxy: double>>
                child 0, item: struct<judge: string, idx: int64, H_self: double, H_proxy: double>
                    child 0, judge: string
                    child 1, idx: int64
                    child 2, H_self: double
                    child 3, H_proxy: double
              table: list<item: struct<judge: string, ILSP_orig_pct: double, ILSP_upd_pct: double, N: int64, rel_delta_pc (... 32 chars omitted)
                child 0, item: struct<judge: string, ILSP_orig_pct: double, ILSP_upd_pct: double, N: int64, rel_delta_pct: double,  (... 20 chars omitted)
                    child 0, judge: string
                    child 1, ILSP_orig_pct: double
                    child 2, ILSP_upd_pct: double
                    child 3, N: int64
                    child 4, rel_delta_pct: double
                    child 5, p_one_sided: double
              n_entropy_pairs: int64
              to
              {'table': List({'judge': Value('string'), 'ILSP_orig_pct': Value('float64'), 'ILSP_upd_pct': Value('float64'), 'N': Value('int64'), 'rel_delta_pct': Value('float64'), 'p_one_sided': Value('float64')}), 'entropy_r2': Value('float64'), 'n_entropy_pairs': Value('int64'), 'entropy_pairs': List({'judge': Value('string'), 'idx': Value('int64'), 'H_self': Value('float64'), 'H_proxy': Value('float64')})}
              because column names don't match