Datasets:

---

DCAgent2

/

20260731-195639-qwen3-coder-30b-a3b-instruct-dev-set-v2-e036-traces

Like 0

Follow

DCAgent2 25

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
conversations: list<element: struct<content: string, role: string>>
  child 0, element: struct<content: string, role: string>
      child 0, content: string
      child 1, role: string
agent: string
model: string
model_provider: string
date: string
task: string
episode: string
run_id: string
trial_name: string
result: string
instruction: string
verifier_output: string
-- schema metadata --
huggingface: '{"info": {"features": {"conversations": {"feature": {"conte' + 671
to
{'conversations': List({'content': Value('string'), 'role': Value('string')}), 'agent': Value('string'), 'model': Value('string'), 'model_provider': Value('string'), 'date': Value('string'), 'task': Value('string'), 'episode': Value('string'), 'run_id': Value('string'), 'trial_name': Value('string'), 'result': Value('string'), 'verifier_output': 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/parquet/parquet.py", line 220, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ~~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 156, 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
              conversations: list<element: struct<content: string, role: string>>
                child 0, element: struct<content: string, role: string>
                    child 0, content: string
                    child 1, role: string
              agent: string
              model: string
              model_provider: string
              date: string
              task: string
              episode: string
              run_id: string
              trial_name: string
              result: string
              instruction: string
              verifier_output: string
              -- schema metadata --
              huggingface: '{"info": {"features": {"conversations": {"feature": {"conte' + 671
              to
              {'conversations': List({'content': Value('string'), 'role': Value('string')}), 'agent': Value('string'), 'model': Value('string'), 'model_provider': Value('string'), 'date': Value('string'), 'task': Value('string'), 'episode': Value('string'), 'run_id': Value('string'), 'trial_name': Value('string'), 'result': Value('string'), 'verifier_output': Value('string')}
              because column names don't match