Datasets:

---

aviralku

/

openclaw-agentic-eval-trajectories

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
source_model: string
source_label: string
agentic: struct<seeds: int64, tasks_per_seed: int64, max_turns: int64, max_tool_calls: int64, max_new_tokens_ (... 16 chars omitted)
  child 0, seeds: int64
  child 1, tasks_per_seed: int64
  child 2, max_turns: int64
  child 3, max_tool_calls: int64
  child 4, max_new_tokens_per_turn: int64
sampling: struct<temperature: double, top_p: double, top_k: int64>
  child 0, temperature: double
  child 1, top_p: double
  child 2, top_k: int64
notes_in_context: bool
qa_demonstrations_in_context: bool
thinking_enabled: bool
repository_tool_profile: string
system_prompt_preset: string
live_budget_reminders: bool
judge: string
merged_model: string
linear_merge: struct<adapted_weight: double, base_weight: double>
  child 0, adapted_weight: double
  child 1, base_weight: double
to
{'source_model': Value('string'), 'merged_model': Value('string'), 'linear_merge': {'adapted_weight': Value('float64'), 'base_weight': Value('float64')}, 'agentic': {'seeds': Value('int64'), 'tasks_per_seed': Value('int64'), 'max_turns': Value('int64'), 'max_tool_calls': Value('int64'), 'max_new_tokens_per_turn': Value('int64')}, 'sampling': {'temperature': Value('float64'), 'top_p': Value('float64'), 'top_k': Value('int64')}, 'notes_in_context': Value('bool'), 'qa_demonstrations_in_context': Value('bool'), 'thinking_enabled': Value('bool'), 'repository_tool_profile': Value('string'), 'system_prompt_preset': Value('string'), 'live_budget_reminders': Value('bool'), 'judge': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 483, 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 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              source_model: string
              source_label: string
              agentic: struct<seeds: int64, tasks_per_seed: int64, max_turns: int64, max_tool_calls: int64, max_new_tokens_ (... 16 chars omitted)
                child 0, seeds: int64
                child 1, tasks_per_seed: int64
                child 2, max_turns: int64
                child 3, max_tool_calls: int64
                child 4, max_new_tokens_per_turn: int64
              sampling: struct<temperature: double, top_p: double, top_k: int64>
                child 0, temperature: double
                child 1, top_p: double
                child 2, top_k: int64
              notes_in_context: bool
              qa_demonstrations_in_context: bool
              thinking_enabled: bool
              repository_tool_profile: string
              system_prompt_preset: string
              live_budget_reminders: bool
              judge: string
              merged_model: string
              linear_merge: struct<adapted_weight: double, base_weight: double>
                child 0, adapted_weight: double
                child 1, base_weight: double
              to
              {'source_model': Value('string'), 'merged_model': Value('string'), 'linear_merge': {'adapted_weight': Value('float64'), 'base_weight': Value('float64')}, 'agentic': {'seeds': Value('int64'), 'tasks_per_seed': Value('int64'), 'max_turns': Value('int64'), 'max_tool_calls': Value('int64'), 'max_new_tokens_per_turn': Value('int64')}, 'sampling': {'temperature': Value('float64'), 'top_p': Value('float64'), 'top_k': Value('int64')}, 'notes_in_context': Value('bool'), 'qa_demonstrations_in_context': Value('bool'), 'thinking_enabled': Value('bool'), 'repository_tool_profile': Value('string'), 'system_prompt_preset': Value('string'), 'live_budget_reminders': Value('bool'), 'judge': Value('string')}
              because column names don't match