Datasets:

---

JaeWooShin

/

efficient-eval-h200-results

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
benchmark: string
question_id: string
question: string
gold: string
answer_type: string
extra: struct<task: string, fewshot_sha256: string>
  child 0, task: string
  child 1, fewshot_sha256: string
question_hash: string
input_format_files: int64
source_capture_completed_utc: string
target_trials: int64
layout_version: int64
collected_trials: int64
source_boundaries_file: string
collection: string
results_csv_files: int64
per_cell_summary_files: int64
cells: int64
raw_text_files: int64
combined_input_format_combinations: int64
graded_trials: int64
completed_utc: string
trials_jsonl_included: bool
input_format_updated_utc: string
layout_updated_utc: string
started_utc: string
input_verified_trials: int64
accuracy_definition: string
results_columns: list<item: string>
  child 0, item: string
combined_input_format_updated_utc: string
malformed_source_lines: int64
combined_input_format_file: string
legacy_trials: int64
input_unverified_legacy_trials: int64
summary_file: string
to
{'collection': Value('string'), 'started_utc': Value('string'), 'source_capture_completed_utc': Value('string'), 'source_boundaries_file': Value('string'), 'completed_utc': Value('string'), 'cells': Value('int64'), 'collected_trials': Value('int64'), 'target_trials': Value('int64'), 'graded_trials': Value('int64'), 'legacy_trials': Value('int64'), 'malformed_source_lines': Value('int64'), 'layout_version': Value('int64'), 'raw_text_files': Value('int64'), 'results_csv_files': Value('int64'), 'layout_updated_utc': Value('string'), 'trials_jsonl_included': Value('bool'), 'input_format_files': Value('int64'), 'input_verified_trials': Value('int64'), 'input_unverified_legacy_trials': Value('int64'), 'input_format_updated_utc': Value('string'), 'combined_input_format_file': Value('string'), 'combined_input_format_combinations': Value('int64'), 'combined_input_format_updated_utc': Value('string'), 'results_columns': List(Value('string')), 'summary_file': Value('string'), 'accuracy_definition': Value('string'), 'per_cell_summary_files': Value('int64')}
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 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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
              benchmark: string
              question_id: string
              question: string
              gold: string
              answer_type: string
              extra: struct<task: string, fewshot_sha256: string>
                child 0, task: string
                child 1, fewshot_sha256: string
              question_hash: string
              input_format_files: int64
              source_capture_completed_utc: string
              target_trials: int64
              layout_version: int64
              collected_trials: int64
              source_boundaries_file: string
              collection: string
              results_csv_files: int64
              per_cell_summary_files: int64
              cells: int64
              raw_text_files: int64
              combined_input_format_combinations: int64
              graded_trials: int64
              completed_utc: string
              trials_jsonl_included: bool
              input_format_updated_utc: string
              layout_updated_utc: string
              started_utc: string
              input_verified_trials: int64
              accuracy_definition: string
              results_columns: list<item: string>
                child 0, item: string
              combined_input_format_updated_utc: string
              malformed_source_lines: int64
              combined_input_format_file: string
              legacy_trials: int64
              input_unverified_legacy_trials: int64
              summary_file: string
              to
              {'collection': Value('string'), 'started_utc': Value('string'), 'source_capture_completed_utc': Value('string'), 'source_boundaries_file': Value('string'), 'completed_utc': Value('string'), 'cells': Value('int64'), 'collected_trials': Value('int64'), 'target_trials': Value('int64'), 'graded_trials': Value('int64'), 'legacy_trials': Value('int64'), 'malformed_source_lines': Value('int64'), 'layout_version': Value('int64'), 'raw_text_files': Value('int64'), 'results_csv_files': Value('int64'), 'layout_updated_utc': Value('string'), 'trials_jsonl_included': Value('bool'), 'input_format_files': Value('int64'), 'input_verified_trials': Value('int64'), 'input_unverified_legacy_trials': Value('int64'), 'input_format_updated_utc': Value('string'), 'combined_input_format_file': Value('string'), 'combined_input_format_combinations': Value('int64'), 'combined_input_format_updated_utc': Value('string'), 'results_columns': List(Value('string')), 'summary_file': Value('string'), 'accuracy_definition': Value('string'), 'per_cell_summary_files': Value('int64')}
              because column names don't match