Datasets:

---

danny2507

/

ctg-results

like 1

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
schema_version: string
run_id: string
created_at: string
models: list<item: string>
  child 0, item: string
model_execution: string
trial_batch_size: int64
n_trials_per_model: int64
max_new_tokens: int64
llm_judge_enabled: bool
results: list<item: struct<model: string, output: string, status: string, memory_estimate: struct<model: stri (... 425 chars omitted)
  child 0, item: struct<model: string, output: string, status: string, memory_estimate: struct<model: string, dtype:  (... 413 chars omitted)
      child 0, model: string
      child 1, output: string
      child 2, status: string
      child 3, memory_estimate: struct<model: string, dtype: string, trial_batch_size: int64, parameter_count: int64, parameter_coun (... 326 chars omitted)
          child 0, model: string
          child 1, dtype: string
          child 2, trial_batch_size: int64
          child 3, parameter_count: int64
          child 4, parameter_count_source: string
          child 5, weight_gib: double
          child 6, kv_cache_gib: double
          child 7, runtime_lower_gib: double
          child 8, runtime_upper_gib: double
          child 9, recommended_vram_gib: int64
          child 10, recommended_system_ram_gib: int64
          child 11, prompt_tokens: int64
          child 12, max_new_tokens: int64
          child 13, horizon: int64
          child 14, beam_size: int64
          child 15, sequential_rollout_rows: int64
          child 16, concurrent_rollout_upper_rows: int64
      child 4, error: string
model: string
seed: int64
scenarios: list<item: string>
  child 0, item: string
attn_implementation: string
ccr_closure: string
rollout_beam_size: int64
dtype: string
experiment: string
asset_fingerprints: struct<config: struct<name: string, sha256: string>, scenarios: list<item: struct<name: string, sha2 (... 13 chars omitted)
  child 0, config: struct<name: string, sha256: string>
      child 0, name: string
      child 1, sha256: string
  child 1, scenarios: list<item: struct<name: string, sha256: string>>
      child 0, item: struct<name: string, sha256: string>
          child 0, name: string
          child 1, sha256: string
methods: list<item: string>
  child 0, item: string
trial_ids: list<item: string>
  child 0, item: string
prompt_mode: string
use_cache: bool
n_trials: int64
alpha: double
horizon: int64
constraints: null
to
{'schema_version': Value('string'), 'experiment': Value('string'), 'model': Value('string'), 'asset_fingerprints': {'config': {'name': Value('string'), 'sha256': Value('string')}, 'scenarios': List({'name': Value('string'), 'sha256': Value('string')})}, 'scenarios': List(Value('string')), 'constraints': Value('null'), 'prompt_mode': Value('string'), 'alpha': Value('float64'), 'horizon': Value('int64'), 'rollout_beam_size': Value('int64'), 'ccr_closure': Value('string'), 'max_new_tokens': Value('int64'), 'methods': List(Value('string')), 'seed': Value('int64'), 'dtype': Value('string'), 'attn_implementation': Value('string'), 'use_cache': Value('bool'), 'n_trials': Value('int64'), 'trial_ids': List(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
              schema_version: string
              run_id: string
              created_at: string
              models: list<item: string>
                child 0, item: string
              model_execution: string
              trial_batch_size: int64
              n_trials_per_model: int64
              max_new_tokens: int64
              llm_judge_enabled: bool
              results: list<item: struct<model: string, output: string, status: string, memory_estimate: struct<model: stri (... 425 chars omitted)
                child 0, item: struct<model: string, output: string, status: string, memory_estimate: struct<model: string, dtype:  (... 413 chars omitted)
                    child 0, model: string
                    child 1, output: string
                    child 2, status: string
                    child 3, memory_estimate: struct<model: string, dtype: string, trial_batch_size: int64, parameter_count: int64, parameter_coun (... 326 chars omitted)
                        child 0, model: string
                        child 1, dtype: string
                        child 2, trial_batch_size: int64
                        child 3, parameter_count: int64
                        child 4, parameter_count_source: string
                        child 5, weight_gib: double
                        child 6, kv_cache_gib: double
                        child 7, runtime_lower_gib: double
                        child 8, runtime_upper_gib: double
                        child 9, recommended_vram_gib: int64
                        child 10, recommended_system_ram_gib: int64
                        child 11, prompt_tokens: int64
                        child 12, max_new_tokens: int64
                        child 13, horizon: int64
                        child 14, beam_size: int64
                        child 15, sequential_rollout_rows: int64
                        child 16, concurrent_rollout_upper_rows: int64
                    child 4, error: string
              model: string
              seed: int64
              scenarios: list<item: string>
                child 0, item: string
              attn_implementation: string
              ccr_closure: string
              rollout_beam_size: int64
              dtype: string
              experiment: string
              asset_fingerprints: struct<config: struct<name: string, sha256: string>, scenarios: list<item: struct<name: string, sha2 (... 13 chars omitted)
                child 0, config: struct<name: string, sha256: string>
                    child 0, name: string
                    child 1, sha256: string
                child 1, scenarios: list<item: struct<name: string, sha256: string>>
                    child 0, item: struct<name: string, sha256: string>
                        child 0, name: string
                        child 1, sha256: string
              methods: list<item: string>
                child 0, item: string
              trial_ids: list<item: string>
                child 0, item: string
              prompt_mode: string
              use_cache: bool
              n_trials: int64
              alpha: double
              horizon: int64
              constraints: null
              to
              {'schema_version': Value('string'), 'experiment': Value('string'), 'model': Value('string'), 'asset_fingerprints': {'config': {'name': Value('string'), 'sha256': Value('string')}, 'scenarios': List({'name': Value('string'), 'sha256': Value('string')})}, 'scenarios': List(Value('string')), 'constraints': Value('null'), 'prompt_mode': Value('string'), 'alpha': Value('float64'), 'horizon': Value('int64'), 'rollout_beam_size': Value('int64'), 'ccr_closure': Value('string'), 'max_new_tokens': Value('int64'), 'methods': List(Value('string')), 'seed': Value('int64'), 'dtype': Value('string'), 'attn_implementation': Value('string'), 'use_cache': Value('bool'), 'n_trials': Value('int64'), 'trial_ids': List(Value('string'))}
              because column names don't match