Datasets:

---

badada288

/

aime_2025

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
id: int64
solution: string
url: string
year: int64
__index_level_0__: int64
data_source: string
prompt: list<element: struct<content: string, role: string>>
  child 0, element: struct<content: string, role: string>
      child 0, content: string
      child 1, role: string
ability: string
reward_model: struct<ground_truth: string, style: string>
  child 0, ground_truth: string
  child 1, style: string
extra_info: struct<__index_level_0__: string, answer: string, index: string, question: string, split: string, ur (... 24 chars omitted)
  child 0, __index_level_0__: string
  child 1, answer: string
  child 2, index: string
  child 3, question: string
  child 4, split: string
  child 5, url: string
  child 6, year: string
prompt_token_length: int64
prompt_processed: bool
-- schema metadata --
huggingface: '{"info": {"features": {"id": {"dtype": "int64", "_type": "V' + 1058
to
{'id': Value('int64'), 'solution': Value('string'), 'url': Value('string'), 'year': Value('int64'), '__index_level_0__': Value('int64'), 'data_source': Value('string'), 'prompt': List({'content': Value('string'), 'role': Value('string')}), 'ability': Value('string'), 'reward_model': {'ground_truth': Value('string'), 'style': Value('string')}, 'extra_info': {'__index_level_0__': Value('string'), 'answer': Value('string'), 'index': Value('string'), 'question': Value('string'), 'split': Value('string'), 'url': Value('string'), 'year': Value('string')}}
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 489, 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/parquet/parquet.py", line 220, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ~~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 156, 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
              id: int64
              solution: string
              url: string
              year: int64
              __index_level_0__: int64
              data_source: string
              prompt: list<element: struct<content: string, role: string>>
                child 0, element: struct<content: string, role: string>
                    child 0, content: string
                    child 1, role: string
              ability: string
              reward_model: struct<ground_truth: string, style: string>
                child 0, ground_truth: string
                child 1, style: string
              extra_info: struct<__index_level_0__: string, answer: string, index: string, question: string, split: string, ur (... 24 chars omitted)
                child 0, __index_level_0__: string
                child 1, answer: string
                child 2, index: string
                child 3, question: string
                child 4, split: string
                child 5, url: string
                child 6, year: string
              prompt_token_length: int64
              prompt_processed: bool
              -- schema metadata --
              huggingface: '{"info": {"features": {"id": {"dtype": "int64", "_type": "V' + 1058
              to
              {'id': Value('int64'), 'solution': Value('string'), 'url': Value('string'), 'year': Value('int64'), '__index_level_0__': Value('int64'), 'data_source': Value('string'), 'prompt': List({'content': Value('string'), 'role': Value('string')}), 'ability': Value('string'), 'reward_model': {'ground_truth': Value('string'), 'style': Value('string')}, 'extra_info': {'__index_level_0__': Value('string'), 'answer': Value('string'), 'index': Value('string'), 'question': Value('string'), 'split': Value('string'), 'url': Value('string'), 'year': Value('string')}}
              because column names don't match