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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
query: string
ground_truth: string
stepwise_ground_truths: string
difficulty: int64
problem_type: string
composition_type: string
composition_dependencies: string
dependency_edges: string
messages: list<item: struct<content: string, name: string, role: string, tool_call_id: string, tool_calls: lis (... 94 chars omitted)
  child 0, item: struct<content: string, name: string, role: string, tool_call_id: string, tool_calls: list<item: str (... 82 chars omitted)
      child 0, content: string
      child 1, name: string
      child 2, role: string
      child 3, tool_call_id: string
      child 4, tool_calls: list<item: struct<function: struct<arguments: string, name: string>, id: string, type: string>>
          child 0, item: struct<function: struct<arguments: string, name: string>, id: string, type: string>
              child 0, function: struct<arguments: string, name: string>
                  child 0, arguments: string
                  child 1, name: string
              child 1, id: string
              child 2, type: string
final_answer: string
is_correct: bool
model_name: string
distilabel_metadata: struct<diagnostic_messages_multi_turn_generator: list<item: string>, diagnostics_multi_turn_generato (... 458 chars omitted)
  child 0, diagnostic_messages_multi_turn_generator: list<item: string>
      child 0, item: string
  child 1, diagnostics_multi_turn_generator: list<item: string>
      child 0, item: string
  child 2, malformed_turns_multi_turn_generator: int64
  child 3, statistics_gen_multi_turn_generator: list<item: struct<input_tokens: list<item: int64>, output_tokens: list<item: int64>>>
      child 0, item: struct<input_tokens: list<item: int64>, output_tokens: list<item: int64>>
          child 0, input_tokens: list<item: int64>
              child 0, item: int64
          child 1, output_tokens: list<item: int64>
              child 0, item: int64
  child 4, statistics_tools_multi_turn_generator: struct<determinant: int64, frobenius_norm: int64, matrix_cofactor: int64, matrix_rank: int64, matrix (... 39 chars omitted)
      child 0, determinant: int64
      child 1, frobenius_norm: int64
      child 2, matrix_cofactor: int64
      child 3, matrix_rank: int64
      child 4, matrix_trace: int64
      child 5, matrix_transpose: int64
  child 5, tool_calls_total_multi_turn_generator: int64
  child 6, tool_errors_multi_turn_generator: int64
-- schema metadata --
huggingface: '{"info": {"features": {"query": {"dtype": "string", "_type"' + 2166
to
{'indices': Value('uint64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/arrow/arrow.py", line 74, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/arrow/arrow.py", line 54, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              query: string
              ground_truth: string
              stepwise_ground_truths: string
              difficulty: int64
              problem_type: string
              composition_type: string
              composition_dependencies: string
              dependency_edges: string
              messages: list<item: struct<content: string, name: string, role: string, tool_call_id: string, tool_calls: lis (... 94 chars omitted)
                child 0, item: struct<content: string, name: string, role: string, tool_call_id: string, tool_calls: list<item: str (... 82 chars omitted)
                    child 0, content: string
                    child 1, name: string
                    child 2, role: string
                    child 3, tool_call_id: string
                    child 4, tool_calls: list<item: struct<function: struct<arguments: string, name: string>, id: string, type: string>>
                        child 0, item: struct<function: struct<arguments: string, name: string>, id: string, type: string>
                            child 0, function: struct<arguments: string, name: string>
                                child 0, arguments: string
                                child 1, name: string
                            child 1, id: string
                            child 2, type: string
              final_answer: string
              is_correct: bool
              model_name: string
              distilabel_metadata: struct<diagnostic_messages_multi_turn_generator: list<item: string>, diagnostics_multi_turn_generato (... 458 chars omitted)
                child 0, diagnostic_messages_multi_turn_generator: list<item: string>
                    child 0, item: string
                child 1, diagnostics_multi_turn_generator: list<item: string>
                    child 0, item: string
                child 2, malformed_turns_multi_turn_generator: int64
                child 3, statistics_gen_multi_turn_generator: list<item: struct<input_tokens: list<item: int64>, output_tokens: list<item: int64>>>
                    child 0, item: struct<input_tokens: list<item: int64>, output_tokens: list<item: int64>>
                        child 0, input_tokens: list<item: int64>
                            child 0, item: int64
                        child 1, output_tokens: list<item: int64>
                            child 0, item: int64
                child 4, statistics_tools_multi_turn_generator: struct<determinant: int64, frobenius_norm: int64, matrix_cofactor: int64, matrix_rank: int64, matrix (... 39 chars omitted)
                    child 0, determinant: int64
                    child 1, frobenius_norm: int64
                    child 2, matrix_cofactor: int64
                    child 3, matrix_rank: int64
                    child 4, matrix_trace: int64
                    child 5, matrix_transpose: int64
                child 5, tool_calls_total_multi_turn_generator: int64
                child 6, tool_errors_multi_turn_generator: int64
              -- schema metadata --
              huggingface: '{"info": {"features": {"query": {"dtype": "string", "_type"' + 2166
              to
              {'indices': Value('uint64')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1919, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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