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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
trait_id: string
index: int64
name: string
text: string
run_id: string
config: struct<budget_usd: double, constitution: string, defaults: struct<max_tokens: int64, temperature: do (... 560 chars omitted)
  child 0, budget_usd: double
  child 1, constitution: string
  child 2, defaults: struct<max_tokens: int64, temperature: double>
      child 0, max_tokens: int64
      child 1, temperature: double
  child 3, hf_private: bool
  child 4, hf_repo: string
  child 5, hf_repo_smoke: string
  child 6, models: struct<draft: struct<max_tokens: int64, model: string, temperature: double>, refine: struct<max_toke (... 265 chars omitted)
      child 0, draft: struct<max_tokens: int64, model: string, temperature: double>
          child 0, max_tokens: int64
          child 1, model: string
          child 2, temperature: double
      child 1, refine: struct<max_tokens: int64, model: string, temperature: double>
          child 0, max_tokens: int64
          child 1, model: string
          child 2, temperature: double
      child 2, respond: struct<max_tokens: int64, model: string, temperature: double>
          child 0, max_tokens: int64
          child 1, model: string
          child 2, temperature: double
      child 3, rewrite: struct<max_tokens: int64, model: string, temperature: double>
          child 0, max_tokens: int64
          child 1, model: string
          child 2, temperature: double
      child 4, scenarios: struct<max_tokens: int64, model: string, temperature: double>
 
...
       child 2, completion_tokens: int64
          child 3, usd: double
      child 1, draft: struct<calls: int64, prompt_tokens: int64, completion_tokens: int64, usd: double>
          child 0, calls: int64
          child 1, prompt_tokens: int64
          child 2, completion_tokens: int64
          child 3, usd: double
      child 2, refine: struct<calls: int64, prompt_tokens: int64, completion_tokens: int64, usd: double>
          child 0, calls: int64
          child 1, prompt_tokens: int64
          child 2, completion_tokens: int64
          child 3, usd: double
      child 3, respond: struct<calls: int64, prompt_tokens: int64, completion_tokens: int64, usd: double>
          child 0, calls: int64
          child 1, prompt_tokens: int64
          child 2, completion_tokens: int64
          child 3, usd: double
      child 4, rewrite: struct<calls: int64, prompt_tokens: int64, completion_tokens: int64, usd: double>
          child 0, calls: int64
          child 1, prompt_tokens: int64
          child 2, completion_tokens: int64
          child 3, usd: double
  child 2, total_usd: double
smoke: bool
counts: struct<traits: int64, scenarios: int64, drafts: int64, refined: int64, responses: int64, final: int6 (... 14 chars omitted)
  child 0, traits: int64
  child 1, scenarios: int64
  child 2, drafts: int64
  child 3, refined: int64
  child 4, responses: int64
  child 5, final: int64
  child 6, sft: int64
wall_clock_s: double
run_dir: string
git_sha: string
hf_repo: string
to
{'run_id': Value('string'), 'git_sha': Value('string'), 'smoke': Value('bool'), 'config': {'budget_usd': Value('float64'), 'constitution': Value('string'), 'defaults': {'max_tokens': Value('int64'), 'temperature': Value('float64')}, 'hf_private': Value('bool'), 'hf_repo': Value('string'), 'hf_repo_smoke': Value('string'), 'models': {'draft': {'max_tokens': Value('int64'), 'model': Value('string'), 'temperature': Value('float64')}, 'refine': {'max_tokens': Value('int64'), 'model': Value('string'), 'temperature': Value('float64')}, 'respond': {'max_tokens': Value('int64'), 'model': Value('string'), 'temperature': Value('float64')}, 'rewrite': {'max_tokens': Value('int64'), 'model': Value('string'), 'temperature': Value('float64')}, 'scenarios': {'max_tokens': Value('int64'), 'model': Value('string'), 'temperature': Value('float64')}}, 'n_traits': Value('int64'), 'output_dir': Value('string'), 'scenarios_per_call': Value('int64'), 'scenarios_per_trait': Value('int64'), 'seed': Value('int64'), 'workers': Value('int64')}, 'effective': {'n_traits': Value('int64'), 'scenarios_per_trait': Value('int64'), 'scenarios_per_call': Value('int64')}, 'counts': {'traits': Value('int64'), 'scenarios': Value('int64'), 'drafts': Value('int64'), 'refined': Value('int64'), 'responses': Value('int64'), 'final': Value('int64'), 'sft': Value('int64')}, 'usage': {'by_model': {'openai/gpt-5.6-luna': {'calls': Value('int64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'usd': Value('float64')}, 'openai/gpt-5.6-terra': {'calls': Value('int64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'usd': Value('float64')}}, 'by_stage': {'scenarios': {'calls': Value('int64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'usd': Value('float64')}, 'draft': {'calls': Value('int64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'usd': Value('float64')}, 'refine': {'calls': Value('int64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'usd': Value('float64')}, 'respond': {'calls': Value('int64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'usd': Value('float64')}, 'rewrite': {'calls': Value('int64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'usd': Value('float64')}}, 'total_usd': Value('float64')}, 'wall_clock_s': Value('float64'), 'hf_repo': Value('string'), 'run_dir': 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/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
              trait_id: string
              index: int64
              name: string
              text: string
              run_id: string
              config: struct<budget_usd: double, constitution: string, defaults: struct<max_tokens: int64, temperature: do (... 560 chars omitted)
                child 0, budget_usd: double
                child 1, constitution: string
                child 2, defaults: struct<max_tokens: int64, temperature: double>
                    child 0, max_tokens: int64
                    child 1, temperature: double
                child 3, hf_private: bool
                child 4, hf_repo: string
                child 5, hf_repo_smoke: string
                child 6, models: struct<draft: struct<max_tokens: int64, model: string, temperature: double>, refine: struct<max_toke (... 265 chars omitted)
                    child 0, draft: struct<max_tokens: int64, model: string, temperature: double>
                        child 0, max_tokens: int64
                        child 1, model: string
                        child 2, temperature: double
                    child 1, refine: struct<max_tokens: int64, model: string, temperature: double>
                        child 0, max_tokens: int64
                        child 1, model: string
                        child 2, temperature: double
                    child 2, respond: struct<max_tokens: int64, model: string, temperature: double>
                        child 0, max_tokens: int64
                        child 1, model: string
                        child 2, temperature: double
                    child 3, rewrite: struct<max_tokens: int64, model: string, temperature: double>
                        child 0, max_tokens: int64
                        child 1, model: string
                        child 2, temperature: double
                    child 4, scenarios: struct<max_tokens: int64, model: string, temperature: double>
               
              ...
                     child 2, completion_tokens: int64
                        child 3, usd: double
                    child 1, draft: struct<calls: int64, prompt_tokens: int64, completion_tokens: int64, usd: double>
                        child 0, calls: int64
                        child 1, prompt_tokens: int64
                        child 2, completion_tokens: int64
                        child 3, usd: double
                    child 2, refine: struct<calls: int64, prompt_tokens: int64, completion_tokens: int64, usd: double>
                        child 0, calls: int64
                        child 1, prompt_tokens: int64
                        child 2, completion_tokens: int64
                        child 3, usd: double
                    child 3, respond: struct<calls: int64, prompt_tokens: int64, completion_tokens: int64, usd: double>
                        child 0, calls: int64
                        child 1, prompt_tokens: int64
                        child 2, completion_tokens: int64
                        child 3, usd: double
                    child 4, rewrite: struct<calls: int64, prompt_tokens: int64, completion_tokens: int64, usd: double>
                        child 0, calls: int64
                        child 1, prompt_tokens: int64
                        child 2, completion_tokens: int64
                        child 3, usd: double
                child 2, total_usd: double
              smoke: bool
              counts: struct<traits: int64, scenarios: int64, drafts: int64, refined: int64, responses: int64, final: int6 (... 14 chars omitted)
                child 0, traits: int64
                child 1, scenarios: int64
                child 2, drafts: int64
                child 3, refined: int64
                child 4, responses: int64
                child 5, final: int64
                child 6, sft: int64
              wall_clock_s: double
              run_dir: string
              git_sha: string
              hf_repo: string
              to
              {'run_id': Value('string'), 'git_sha': Value('string'), 'smoke': Value('bool'), 'config': {'budget_usd': Value('float64'), 'constitution': Value('string'), 'defaults': {'max_tokens': Value('int64'), 'temperature': Value('float64')}, 'hf_private': Value('bool'), 'hf_repo': Value('string'), 'hf_repo_smoke': Value('string'), 'models': {'draft': {'max_tokens': Value('int64'), 'model': Value('string'), 'temperature': Value('float64')}, 'refine': {'max_tokens': Value('int64'), 'model': Value('string'), 'temperature': Value('float64')}, 'respond': {'max_tokens': Value('int64'), 'model': Value('string'), 'temperature': Value('float64')}, 'rewrite': {'max_tokens': Value('int64'), 'model': Value('string'), 'temperature': Value('float64')}, 'scenarios': {'max_tokens': Value('int64'), 'model': Value('string'), 'temperature': Value('float64')}}, 'n_traits': Value('int64'), 'output_dir': Value('string'), 'scenarios_per_call': Value('int64'), 'scenarios_per_trait': Value('int64'), 'seed': Value('int64'), 'workers': Value('int64')}, 'effective': {'n_traits': Value('int64'), 'scenarios_per_trait': Value('int64'), 'scenarios_per_call': Value('int64')}, 'counts': {'traits': Value('int64'), 'scenarios': Value('int64'), 'drafts': Value('int64'), 'refined': Value('int64'), 'responses': Value('int64'), 'final': Value('int64'), 'sft': Value('int64')}, 'usage': {'by_model': {'openai/gpt-5.6-luna': {'calls': Value('int64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'usd': Value('float64')}, 'openai/gpt-5.6-terra': {'calls': Value('int64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'usd': Value('float64')}}, 'by_stage': {'scenarios': {'calls': Value('int64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'usd': Value('float64')}, 'draft': {'calls': Value('int64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'usd': Value('float64')}, 'refine': {'calls': Value('int64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'usd': Value('float64')}, 'respond': {'calls': Value('int64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'usd': Value('float64')}, 'rewrite': {'calls': Value('int64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'usd': Value('float64')}}, 'total_usd': Value('float64')}, 'wall_clock_s': Value('float64'), 'hf_repo': Value('string'), 'run_dir': Value('string')}
              because column names don't match

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