Datasets:

---

weizhou03

/

Llada15_EB_Decode_dataset

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
idx: int64
question: string
prompt_ids: list<item: int64>
  child 0, item: int64
final_output: list<item: int64>
  child 0, item: int64
generated_text: string
llm_answer: string
gt_answer: string
is_correct: bool
_output_all_columns: bool
_format_columns: null
_data_files: list<item: struct<filename: string>>
  child 0, item: struct<filename: string>
      child 0, filename: string
_format_kwargs: struct<>
_fingerprint: string
_format_type: null
_split: null
to
{'_data_files': List({'filename': Value('string')}), '_fingerprint': Value('string'), '_format_columns': Value('null'), '_format_kwargs': {}, '_format_type': Value('null'), '_output_all_columns': Value('bool'), '_split': Value('null')}
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 295, 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
              idx: int64
              question: string
              prompt_ids: list<item: int64>
                child 0, item: int64
              final_output: list<item: int64>
                child 0, item: int64
              generated_text: string
              llm_answer: string
              gt_answer: string
              is_correct: bool
              _output_all_columns: bool
              _format_columns: null
              _data_files: list<item: struct<filename: string>>
                child 0, item: struct<filename: string>
                    child 0, filename: string
              _format_kwargs: struct<>
              _fingerprint: string
              _format_type: null
              _split: null
              to
              {'_data_files': List({'filename': Value('string')}), '_fingerprint': Value('string'), '_format_columns': Value('null'), '_format_kwargs': {}, '_format_type': Value('null'), '_output_all_columns': Value('bool'), '_split': Value('null')}
              because column names don't match