Datasets:

---

Firmansyah-Ibrahim

/

idt5-journal-artifacts

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
n: int64
prediction_sha: string
parameters_reported: int64
peak_allocated_bytes_by_gpu: struct<0: int64, 1: int64>
  child 0, 0: int64
  child 1, 1: int64
gpu_names: list<item: string>
  child 0, item: string
timing_note: string
note: string
n_parse_failures: int64
rule: struct<version: string, normalization: string, c1_max_answer_words: int64, c1_openers: list<item: st (... 77 chars omitted)
  child 0, version: string
  child 1, normalization: string
  child 2, c1_max_answer_words: int64
  child 3, c1_openers: list<item: string>
      child 0, item: string
  child 4, c2_markers: list<item: string>
      child 0, item: string
  child 5, c2_nonverbatim: bool
  child 6, warning: string
n_items: int64
scorer_code_sha: string
version: string
prediction_hashes: struct<qwen3b-zero-P2-tokens192-validation: string, qwen3b-zero-P2-tokens384-validation: string, qwe (... 86 chars omitted)
  child 0, qwen3b-zero-P2-tokens192-validation: string
  child 1, qwen3b-zero-P2-tokens384-validation: string
  child 2, qwen3b-zero-P3-tokens192-validation: string
  child 3, qwen3b-zero-P3-tokens384-validation: string
to
{'version': Value('string'), 'prediction_hashes': {'qwen3b-zero-P2-tokens192-validation': Value('string'), 'qwen3b-zero-P2-tokens384-validation': Value('string'), 'qwen3b-zero-P3-tokens192-validation': Value('string'), 'qwen3b-zero-P3-tokens384-validation': Value('string')}, 'scorer_code_sha': Value('string'), 'rule': {'version': Value('string'), 'normalization': Value('string'), 'c1_max_answer_words': Value('int64'), 'c1_openers': List(Value('string')), 'c2_markers': List(Value('string')), 'c2_nonverbatim': Value('bool'), 'warning': Value('string')}, 'n_items': Value('int64'), 'n_parse_failures': Value('int64'), 'note': Value('string')}
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 483, 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 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              n: int64
              prediction_sha: string
              parameters_reported: int64
              peak_allocated_bytes_by_gpu: struct<0: int64, 1: int64>
                child 0, 0: int64
                child 1, 1: int64
              gpu_names: list<item: string>
                child 0, item: string
              timing_note: string
              note: string
              n_parse_failures: int64
              rule: struct<version: string, normalization: string, c1_max_answer_words: int64, c1_openers: list<item: st (... 77 chars omitted)
                child 0, version: string
                child 1, normalization: string
                child 2, c1_max_answer_words: int64
                child 3, c1_openers: list<item: string>
                    child 0, item: string
                child 4, c2_markers: list<item: string>
                    child 0, item: string
                child 5, c2_nonverbatim: bool
                child 6, warning: string
              n_items: int64
              scorer_code_sha: string
              version: string
              prediction_hashes: struct<qwen3b-zero-P2-tokens192-validation: string, qwen3b-zero-P2-tokens384-validation: string, qwe (... 86 chars omitted)
                child 0, qwen3b-zero-P2-tokens192-validation: string
                child 1, qwen3b-zero-P2-tokens384-validation: string
                child 2, qwen3b-zero-P3-tokens192-validation: string
                child 3, qwen3b-zero-P3-tokens384-validation: string
              to
              {'version': Value('string'), 'prediction_hashes': {'qwen3b-zero-P2-tokens192-validation': Value('string'), 'qwen3b-zero-P2-tokens384-validation': Value('string'), 'qwen3b-zero-P3-tokens192-validation': Value('string'), 'qwen3b-zero-P3-tokens384-validation': Value('string')}, 'scorer_code_sha': Value('string'), 'rule': {'version': Value('string'), 'normalization': Value('string'), 'c1_max_answer_words': Value('int64'), 'c1_openers': List(Value('string')), 'c2_markers': List(Value('string')), 'c2_nonverbatim': Value('bool'), 'warning': Value('string')}, 'n_items': Value('int64'), 'n_parse_failures': Value('int64'), 'note': Value('string')}
              because column names don't match