Datasets:

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AKCIT-RL 11

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
agent_type: string
config: struct<model: string, temperature: null, max_tokens: null, base_url: string>
  child 0, model: string
  child 1, temperature: null
  child 2, max_tokens: null
  child 3, base_url: string
target: struct<id: string, label: string, attrs: struct<category: string, symptoms: list<item: string>>>
  child 0, id: string
  child 1, label: string
  child 2, attrs: struct<category: string, symptoms: list<item: string>>
      child 0, category: string
      child 1, symptoms: list<item: string>
          child 0, item: string
total_messages: int64
history: list<item: struct<role: string, content: string>>
  child 0, item: struct<role: string, content: string>
      child 0, role: string
      child 1, content: string
reasoning_history: list<item: struct<role: string, content: string>>
  child 0, item: struct<role: string, content: string>
      child 0, role: string
      child 1, content: string
pool_stats: struct<initial_candidates: int64, final_candidates: int64, total_pruned: int64, pruning_efficiency:  (... 7 chars omitted)
  child 0, initial_candidates: int64
  child 1, final_candidates: int64
  child 2, total_pruned: int64
  child 3, pruning_efficiency: double
results: struct<turns_played: int64, win: bool, h_start: double, h_end: double, total_info_gain: double, avg_ (... 84 chars omitted)
  child 0, turns_played: int64
  child 1, win: bool
  child 2, h_start: double
  child 3, h_end: double
  child 4, total_info_gain: double
  child 5, avg_info_gain_per_turn: double
  child 6, compliance_rate: double
  child 7, final_active_candidates: int64
git: struct<commit: null, branch: null, dirty: null>
  child 0, commit: null
  child 1, branch: null
  child 2, dirty: null
timestamp: string
to
{'timestamp': Value('string'), 'git': {'commit': Value('null'), 'branch': Value('null'), 'dirty': Value('null')}, 'target': {'id': Value('string'), 'label': Value('string'), 'attrs': {'category': Value('string'), 'symptoms': List(Value('string'))}}, 'config': {'experiment_name': Value('string'), 'observability_mode': Value('string'), 'max_turns': Value('int64'), 'models': {'seeker': Value('string'), 'oracle': Value('string'), 'pruner': Value('string')}}, 'results': {'turns_played': Value('int64'), 'win': Value('bool'), 'h_start': Value('float64'), 'h_end': Value('float64'), 'total_info_gain': Value('float64'), 'avg_info_gain_per_turn': Value('float64'), 'compliance_rate': Value('float64'), 'final_active_candidates': Value('int64')}, 'pool_stats': {'initial_candidates': Value('int64'), 'final_candidates': Value('int64'), 'total_pruned': Value('int64'), 'pruning_efficiency': Value('float64')}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                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 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
              agent_type: string
              config: struct<model: string, temperature: null, max_tokens: null, base_url: string>
                child 0, model: string
                child 1, temperature: null
                child 2, max_tokens: null
                child 3, base_url: string
              target: struct<id: string, label: string, attrs: struct<category: string, symptoms: list<item: string>>>
                child 0, id: string
                child 1, label: string
                child 2, attrs: struct<category: string, symptoms: list<item: string>>
                    child 0, category: string
                    child 1, symptoms: list<item: string>
                        child 0, item: string
              total_messages: int64
              history: list<item: struct<role: string, content: string>>
                child 0, item: struct<role: string, content: string>
                    child 0, role: string
                    child 1, content: string
              reasoning_history: list<item: struct<role: string, content: string>>
                child 0, item: struct<role: string, content: string>
                    child 0, role: string
                    child 1, content: string
              pool_stats: struct<initial_candidates: int64, final_candidates: int64, total_pruned: int64, pruning_efficiency:  (... 7 chars omitted)
                child 0, initial_candidates: int64
                child 1, final_candidates: int64
                child 2, total_pruned: int64
                child 3, pruning_efficiency: double
              results: struct<turns_played: int64, win: bool, h_start: double, h_end: double, total_info_gain: double, avg_ (... 84 chars omitted)
                child 0, turns_played: int64
                child 1, win: bool
                child 2, h_start: double
                child 3, h_end: double
                child 4, total_info_gain: double
                child 5, avg_info_gain_per_turn: double
                child 6, compliance_rate: double
                child 7, final_active_candidates: int64
              git: struct<commit: null, branch: null, dirty: null>
                child 0, commit: null
                child 1, branch: null
                child 2, dirty: null
              timestamp: string
              to
              {'timestamp': Value('string'), 'git': {'commit': Value('null'), 'branch': Value('null'), 'dirty': Value('null')}, 'target': {'id': Value('string'), 'label': Value('string'), 'attrs': {'category': Value('string'), 'symptoms': List(Value('string'))}}, 'config': {'experiment_name': Value('string'), 'observability_mode': Value('string'), 'max_turns': Value('int64'), 'models': {'seeker': Value('string'), 'oracle': Value('string'), 'pruner': Value('string')}}, 'results': {'turns_played': Value('int64'), 'win': Value('bool'), 'h_start': Value('float64'), 'h_end': Value('float64'), 'total_info_gain': Value('float64'), 'avg_info_gain_per_turn': Value('float64'), 'compliance_rate': Value('float64'), 'final_active_candidates': Value('int64')}, 'pool_stats': {'initial_candidates': Value('int64'), 'final_candidates': Value('int64'), 'total_pruned': Value('int64'), 'pruning_efficiency': Value('float64')}}
              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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, 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