Datasets:

---

peerbench

/

gaa-eval-results

like 0

Follow

Peerbench 3

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
run_id: string
model: string
timestamp: string
n_items: int64
health: struct<n_empty_finals: int64, n_parse_failed: int64, n_max_tokens: int64, n_no_candidate: int64, n_s (... 324 chars omitted)
  child 0, n_empty_finals: int64
  child 1, n_parse_failed: int64
  child 2, n_max_tokens: int64
  child 3, n_no_candidate: int64
  child 4, n_safety_blocks: int64
  child 5, n_api_failed: int64
  child 6, total_retries: int64
  child 7, total_latency: double
  child 8, total_candidates_tokens: int64
  child 9, total_prompt_tokens: int64
  child 10, total_thought_tokens: int64
  child 11, total_tokens: int64
  child 12, latency_count: int64
  child 13, latency_sum: double
  child 14, latency_mean: double
  child 15, latency_min: double
  child 16, latency_max: double
  child 17, latency_p50: double
logging: struct<wandb_url: string, wandb_id: string>
  child 0, wandb_url: string
  child 1, wandb_id: string
results: struct<include_de: struct<name: string, alias: string, sample_len: int64, exact_match,custom-extract (... 53 chars omitted)
  child 0, include_de: struct<name: string, alias: string, sample_len: int64, exact_match,custom-extract: double, exact_mat (... 33 chars omitted)
      child 0, name: string
      child 1, alias: string
      child 2, sample_len: int64
      child 3, exact_match,custom-extract: double
      child 4, exact_match_stderr,custom-extract: double
pretty_env_info: string
lm_eval_version: string
higher_is_better: struct<include_de: struct<exact_match: bool>>

...
ed)
          child 0, version: double
          child 1, model: string
          child 2, num_concurrent: int64
          child 3, max_retries: int64
          child 4, api_key: string
          child 5, config_source: string
system_instruction: null
model_name: string
chat_template: string
git_hash: null
model_name_sanitized: string
n-shot: struct<include_de: int64>
  child 0, include_de: int64
transformers_version: string
group_subtasks: struct<>
model_source: string
config: struct<model: string, model_args: struct<model: string, num_concurrent: int64, max_retries: int64, a (... 260 chars omitted)
  child 0, model: string
  child 1, model_args: struct<model: string, num_concurrent: int64, max_retries: int64, api_key: string>
      child 0, model: string
      child 1, num_concurrent: int64
      child 2, max_retries: int64
      child 3, api_key: string
  child 2, batch_size: int64
  child 3, batch_sizes: list<item: null>
      child 0, item: null
  child 4, device: string
  child 5, use_cache: string
  child 6, limit: double
  child 7, bootstrap_iters: int64
  child 8, gen_kwargs: struct<max_gen_toks: int64>
      child 0, max_gen_toks: int64
  child 9, random_seed: int64
  child 10, numpy_seed: int64
  child 11, torch_seed: int64
  child 12, fewshot_seed: int64
fewshot_as_multiturn: bool
system_instruction_sha: null
upper_git_hash: null
task_hashes: struct<include_de: string>
  child 0, include_de: string
versions: struct<include_de: double>
  child 0, include_de: double
to
{'results': {'include_de': {'name': Value('string'), 'alias': Value('string'), 'sample_len': Value('int64'), 'exact_match,custom-extract': Value('float64'), 'exact_match_stderr,custom-extract': Value('float64')}}, 'group_subtasks': {}, 'configs': {'include_de': {'task': Value('string'), 'dataset_path': Value('string'), 'dataset_name': Value('string'), 'test_split': Value('string'), 'doc_to_text': Value('string'), 'doc_to_target': Value('string'), 'unsafe_code': Value('bool'), 'description': Value('string'), 'target_delimiter': Value('string'), 'fewshot_delimiter': Value('string'), 'fewshot_config': {'sampler': Value('string'), 'split': Value('null'), 'process_docs': Value('null'), 'fewshot_indices': Value('null'), 'samples': Value('null'), 'doc_to_text': Value('string'), 'doc_to_choice': Value('null'), 'doc_to_target': Value('string'), 'gen_prefix': Value('null'), 'fewshot_delimiter': Value('string'), 'target_delimiter': Value('string')}, 'num_fewshot': Value('int64'), 'metric_list': List({'metric': Value('string'), 'aggregation': Value('string'), 'higher_is_better': Value('bool'), 'ignore_case': Value('bool'), 'ignore_punctuation': Value('bool')}), 'output_type': Value('string'), 'generation_kwargs': {'until': List(Value('string')), 'do_sample': Value('bool'), 'max_gen_toks': Value('int64')}, 'repeats': Value('int64'), 'filter_list': List({'name': Value('string'), 'filter': List({'function': Value('string'), 'regex_pattern': Value('string')})}), 'should_decontaminate': Value
...
tring'), 'num_concurrent': Value('int64'), 'max_retries': Value('int64'), 'api_key': Value('string'), 'config_source': Value('string')}}}, 'versions': {'include_de': Value('float64')}, 'n-shot': {'include_de': Value('int64')}, 'higher_is_better': {'include_de': {'exact_match': Value('bool')}}, 'n-samples': {'include_de': {'original': Value('int64'), 'effective': Value('int64')}}, 'config': {'model': Value('string'), 'model_args': {'model': Value('string'), 'num_concurrent': Value('int64'), 'max_retries': Value('int64'), 'api_key': Value('string')}, 'batch_size': Value('int64'), 'batch_sizes': List(Value('null')), 'device': Value('string'), 'use_cache': Value('string'), 'limit': Value('float64'), 'bootstrap_iters': Value('int64'), 'gen_kwargs': {'max_gen_toks': Value('int64')}, 'random_seed': Value('int64'), 'numpy_seed': Value('int64'), 'torch_seed': Value('int64'), 'fewshot_seed': Value('int64')}, 'git_hash': Value('null'), 'date': Value('float64'), 'pretty_env_info': Value('string'), 'transformers_version': Value('string'), 'lm_eval_version': Value('string'), 'upper_git_hash': Value('null'), 'task_hashes': {'include_de': Value('string')}, 'model_source': Value('string'), 'model_name': Value('string'), 'model_name_sanitized': Value('string'), 'system_instruction': Value('null'), 'system_instruction_sha': Value('null'), 'fewshot_as_multiturn': Value('bool'), 'chat_template': Value('string'), 'chat_template_sha': Value('null'), 'total_evaluation_time_seconds': 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
              run_id: string
              model: string
              timestamp: string
              n_items: int64
              health: struct<n_empty_finals: int64, n_parse_failed: int64, n_max_tokens: int64, n_no_candidate: int64, n_s (... 324 chars omitted)
                child 0, n_empty_finals: int64
                child 1, n_parse_failed: int64
                child 2, n_max_tokens: int64
                child 3, n_no_candidate: int64
                child 4, n_safety_blocks: int64
                child 5, n_api_failed: int64
                child 6, total_retries: int64
                child 7, total_latency: double
                child 8, total_candidates_tokens: int64
                child 9, total_prompt_tokens: int64
                child 10, total_thought_tokens: int64
                child 11, total_tokens: int64
                child 12, latency_count: int64
                child 13, latency_sum: double
                child 14, latency_mean: double
                child 15, latency_min: double
                child 16, latency_max: double
                child 17, latency_p50: double
              logging: struct<wandb_url: string, wandb_id: string>
                child 0, wandb_url: string
                child 1, wandb_id: string
              results: struct<include_de: struct<name: string, alias: string, sample_len: int64, exact_match,custom-extract (... 53 chars omitted)
                child 0, include_de: struct<name: string, alias: string, sample_len: int64, exact_match,custom-extract: double, exact_mat (... 33 chars omitted)
                    child 0, name: string
                    child 1, alias: string
                    child 2, sample_len: int64
                    child 3, exact_match,custom-extract: double
                    child 4, exact_match_stderr,custom-extract: double
              pretty_env_info: string
              lm_eval_version: string
              higher_is_better: struct<include_de: struct<exact_match: bool>>
              
              ...
              ed)
                        child 0, version: double
                        child 1, model: string
                        child 2, num_concurrent: int64
                        child 3, max_retries: int64
                        child 4, api_key: string
                        child 5, config_source: string
              system_instruction: null
              model_name: string
              chat_template: string
              git_hash: null
              model_name_sanitized: string
              n-shot: struct<include_de: int64>
                child 0, include_de: int64
              transformers_version: string
              group_subtasks: struct<>
              model_source: string
              config: struct<model: string, model_args: struct<model: string, num_concurrent: int64, max_retries: int64, a (... 260 chars omitted)
                child 0, model: string
                child 1, model_args: struct<model: string, num_concurrent: int64, max_retries: int64, api_key: string>
                    child 0, model: string
                    child 1, num_concurrent: int64
                    child 2, max_retries: int64
                    child 3, api_key: string
                child 2, batch_size: int64
                child 3, batch_sizes: list<item: null>
                    child 0, item: null
                child 4, device: string
                child 5, use_cache: string
                child 6, limit: double
                child 7, bootstrap_iters: int64
                child 8, gen_kwargs: struct<max_gen_toks: int64>
                    child 0, max_gen_toks: int64
                child 9, random_seed: int64
                child 10, numpy_seed: int64
                child 11, torch_seed: int64
                child 12, fewshot_seed: int64
              fewshot_as_multiturn: bool
              system_instruction_sha: null
              upper_git_hash: null
              task_hashes: struct<include_de: string>
                child 0, include_de: string
              versions: struct<include_de: double>
                child 0, include_de: double
              to
              {'results': {'include_de': {'name': Value('string'), 'alias': Value('string'), 'sample_len': Value('int64'), 'exact_match,custom-extract': Value('float64'), 'exact_match_stderr,custom-extract': Value('float64')}}, 'group_subtasks': {}, 'configs': {'include_de': {'task': Value('string'), 'dataset_path': Value('string'), 'dataset_name': Value('string'), 'test_split': Value('string'), 'doc_to_text': Value('string'), 'doc_to_target': Value('string'), 'unsafe_code': Value('bool'), 'description': Value('string'), 'target_delimiter': Value('string'), 'fewshot_delimiter': Value('string'), 'fewshot_config': {'sampler': Value('string'), 'split': Value('null'), 'process_docs': Value('null'), 'fewshot_indices': Value('null'), 'samples': Value('null'), 'doc_to_text': Value('string'), 'doc_to_choice': Value('null'), 'doc_to_target': Value('string'), 'gen_prefix': Value('null'), 'fewshot_delimiter': Value('string'), 'target_delimiter': Value('string')}, 'num_fewshot': Value('int64'), 'metric_list': List({'metric': Value('string'), 'aggregation': Value('string'), 'higher_is_better': Value('bool'), 'ignore_case': Value('bool'), 'ignore_punctuation': Value('bool')}), 'output_type': Value('string'), 'generation_kwargs': {'until': List(Value('string')), 'do_sample': Value('bool'), 'max_gen_toks': Value('int64')}, 'repeats': Value('int64'), 'filter_list': List({'name': Value('string'), 'filter': List({'function': Value('string'), 'regex_pattern': Value('string')})}), 'should_decontaminate': Value
              ...
              tring'), 'num_concurrent': Value('int64'), 'max_retries': Value('int64'), 'api_key': Value('string'), 'config_source': Value('string')}}}, 'versions': {'include_de': Value('float64')}, 'n-shot': {'include_de': Value('int64')}, 'higher_is_better': {'include_de': {'exact_match': Value('bool')}}, 'n-samples': {'include_de': {'original': Value('int64'), 'effective': Value('int64')}}, 'config': {'model': Value('string'), 'model_args': {'model': Value('string'), 'num_concurrent': Value('int64'), 'max_retries': Value('int64'), 'api_key': Value('string')}, 'batch_size': Value('int64'), 'batch_sizes': List(Value('null')), 'device': Value('string'), 'use_cache': Value('string'), 'limit': Value('float64'), 'bootstrap_iters': Value('int64'), 'gen_kwargs': {'max_gen_toks': Value('int64')}, 'random_seed': Value('int64'), 'numpy_seed': Value('int64'), 'torch_seed': Value('int64'), 'fewshot_seed': Value('int64')}, 'git_hash': Value('null'), 'date': Value('float64'), 'pretty_env_info': Value('string'), 'transformers_version': Value('string'), 'lm_eval_version': Value('string'), 'upper_git_hash': Value('null'), 'task_hashes': {'include_de': Value('string')}, 'model_source': Value('string'), 'model_name': Value('string'), 'model_name_sanitized': Value('string'), 'system_instruction': Value('null'), 'system_instruction_sha': Value('null'), 'fewshot_as_multiturn': Value('bool'), 'chat_template': Value('string'), 'chat_template_sha': Value('null'), 'total_evaluation_time_seconds': Value('string')}
              because column names don't match