Datasets:

---

insagur

/

na2648502007d

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
authoring: string
out: string
n_tasks: int64
n_records: int64
n_transitions_planned: int64
max_branches_per_step: int64
domain: string
task_id: string
prefix_actions: list<item: string>
  child 0, item: string
candidates: list<item: struct<branch_id: string, source: string, action: string, action_code: string, action_nl: (... 177 chars omitted)
  child 0, item: struct<branch_id: string, source: string, action: string, action_code: string, action_nl: string, me (... 165 chars omitted)
      child 0, branch_id: string
      child 1, source: string
      child 2, action: string
      child 3, action_code: string
      child 4, action_nl: string
      child 5, metadata: struct<candidate_type: string, thought: string, opencua_response: string, code_norm: string, exec_co (... 56 chars omitted)
          child 0, candidate_type: string
          child 1, thought: string
          child 2, opencua_response: string
          child 3, code_norm: string
          child 4, exec_code_px: string
          child 5, tac_task_id: string
          child 6, tac_step_id: string
metadata: struct<source: string, tac_task_id: string, instruction: string, step_id: string, step_goal: string, (... 64 chars omitted)
  child 0, source: string
  child 1, tac_task_id: string
  child 2, instruction: string
  child 3, step_id: string
  child 4, step_goal: string
  child 5, task_family: string
  child 6, trajectory_anchored: bool
  child 7, recovery: bool
step_idx: int64
step_num: int64
to
{'domain': Value('string'), 'task_id': Value('string'), 'step_idx': Value('int64'), 'step_num': Value('int64'), 'prefix_actions': List(Value('string')), 'candidates': List({'branch_id': Value('string'), 'source': Value('string'), 'action': Value('string'), 'action_code': Value('string'), 'action_nl': Value('string'), 'metadata': {'candidate_type': Value('string'), 'thought': Value('string'), 'opencua_response': Value('string'), 'code_norm': Value('string'), 'exec_code_px': Value('string'), 'tac_task_id': Value('string'), 'tac_step_id': Value('string')}}), 'metadata': {'source': Value('string'), 'tac_task_id': Value('string'), 'instruction': Value('string'), 'step_id': Value('string'), 'step_goal': Value('string'), 'task_family': Value('string'), 'trajectory_anchored': Value('bool'), 'recovery': Value('bool')}}
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 478, 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
              authoring: string
              out: string
              n_tasks: int64
              n_records: int64
              n_transitions_planned: int64
              max_branches_per_step: int64
              domain: string
              task_id: string
              prefix_actions: list<item: string>
                child 0, item: string
              candidates: list<item: struct<branch_id: string, source: string, action: string, action_code: string, action_nl: (... 177 chars omitted)
                child 0, item: struct<branch_id: string, source: string, action: string, action_code: string, action_nl: string, me (... 165 chars omitted)
                    child 0, branch_id: string
                    child 1, source: string
                    child 2, action: string
                    child 3, action_code: string
                    child 4, action_nl: string
                    child 5, metadata: struct<candidate_type: string, thought: string, opencua_response: string, code_norm: string, exec_co (... 56 chars omitted)
                        child 0, candidate_type: string
                        child 1, thought: string
                        child 2, opencua_response: string
                        child 3, code_norm: string
                        child 4, exec_code_px: string
                        child 5, tac_task_id: string
                        child 6, tac_step_id: string
              metadata: struct<source: string, tac_task_id: string, instruction: string, step_id: string, step_goal: string, (... 64 chars omitted)
                child 0, source: string
                child 1, tac_task_id: string
                child 2, instruction: string
                child 3, step_id: string
                child 4, step_goal: string
                child 5, task_family: string
                child 6, trajectory_anchored: bool
                child 7, recovery: bool
              step_idx: int64
              step_num: int64
              to
              {'domain': Value('string'), 'task_id': Value('string'), 'step_idx': Value('int64'), 'step_num': Value('int64'), 'prefix_actions': List(Value('string')), 'candidates': List({'branch_id': Value('string'), 'source': Value('string'), 'action': Value('string'), 'action_code': Value('string'), 'action_nl': Value('string'), 'metadata': {'candidate_type': Value('string'), 'thought': Value('string'), 'opencua_response': Value('string'), 'code_norm': Value('string'), 'exec_code_px': Value('string'), 'tac_task_id': Value('string'), 'tac_step_id': Value('string')}}), 'metadata': {'source': Value('string'), 'tac_task_id': Value('string'), 'instruction': Value('string'), 'step_id': Value('string'), 'step_goal': Value('string'), 'task_family': Value('string'), 'trajectory_anchored': Value('bool'), 'recovery': Value('bool')}}
              because column names don't match