Datasets:

---

XavierZXY

/

zedong

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
uid: string
messages: list<item: string>
  child 0, item: string
source: string
domain: string
think_type: string
input_file: string
line_number: int64
global_index: int64
prompt_token_count: int64
prompt_messages: list<item: string>
  child 0, item: string
original_qa: struct<question: string, answer: string, answer_reasoning_content: string, answer_message: struct<ro (... 56 chars omitted)
  child 0, question: string
  child 1, answer: string
  child 2, answer_reasoning_content: string
  child 3, answer_message: struct<role: string, content: string, reasoning_content: string>
      child 0, role: string
      child 1, content: string
      child 2, reasoning_content: string
qwen3_0_6b_response: string
qwen3_0_6b_responses: list<item: string>
  child 0, item: string
qwen3_0_6b_finish_reasons: list<item: string>
  child 0, item: string
qwen3_0_6b_stop_reasons: list<item: null>
  child 0, item: null
qwen3_0_6b_model: string
qwen3_0_6b_enable_thinking: bool
qwen3_0_6b_actual_max_new_tokens: int64
qwen3_0_6b_sampling_config: struct<n: int64, temperature: double, top_p: double, top_k: int64, min_p: double, max_new_tokens: in (... 42 chars omitted)
  child 0, n: int64
  child 1, temperature: double
  child 2, top_p: double
  child 3, top_k: int64
  child 4, min_p: double
  child 5, max_new_tokens: int64
  child 6, seed: int64
  child 7, enable_thinking: string
to
{'uid': Value('string'), 'messages': List(Json(decode=True)), 'source': Value('string'), 'domain': Value('string'), 'think_type': Value('string'), 'input_file': Value('string'), 'line_number': Value('int64'), 'global_index': Value('int64'), 'prompt_messages': List(Json(decode=True)), 'original_qa': {'question': Value('string'), 'answer': Value('string'), 'answer_reasoning_content': Value('null'), 'answer_message': {'role': Value('string'), 'content': Value('string')}}, 'qwen3_0_6b_response': Value('string'), 'qwen3_0_6b_responses': List(Value('string')), 'qwen3_0_6b_finish_reasons': List(Value('string')), 'qwen3_0_6b_stop_reasons': List(Value('null')), 'qwen3_0_6b_model': Value('string'), 'qwen3_0_6b_enable_thinking': Value('bool'), 'qwen3_0_6b_sampling_config': {'n': Value('int64'), 'temperature': Value('float64'), 'top_p': Value('float64'), 'top_k': Value('int64'), 'min_p': Value('float64'), 'max_new_tokens': Value('int64'), 'seed': Value('int64'), 'enable_thinking': 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 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
              uid: string
              messages: list<item: string>
                child 0, item: string
              source: string
              domain: string
              think_type: string
              input_file: string
              line_number: int64
              global_index: int64
              prompt_token_count: int64
              prompt_messages: list<item: string>
                child 0, item: string
              original_qa: struct<question: string, answer: string, answer_reasoning_content: string, answer_message: struct<ro (... 56 chars omitted)
                child 0, question: string
                child 1, answer: string
                child 2, answer_reasoning_content: string
                child 3, answer_message: struct<role: string, content: string, reasoning_content: string>
                    child 0, role: string
                    child 1, content: string
                    child 2, reasoning_content: string
              qwen3_0_6b_response: string
              qwen3_0_6b_responses: list<item: string>
                child 0, item: string
              qwen3_0_6b_finish_reasons: list<item: string>
                child 0, item: string
              qwen3_0_6b_stop_reasons: list<item: null>
                child 0, item: null
              qwen3_0_6b_model: string
              qwen3_0_6b_enable_thinking: bool
              qwen3_0_6b_actual_max_new_tokens: int64
              qwen3_0_6b_sampling_config: struct<n: int64, temperature: double, top_p: double, top_k: int64, min_p: double, max_new_tokens: in (... 42 chars omitted)
                child 0, n: int64
                child 1, temperature: double
                child 2, top_p: double
                child 3, top_k: int64
                child 4, min_p: double
                child 5, max_new_tokens: int64
                child 6, seed: int64
                child 7, enable_thinking: string
              to
              {'uid': Value('string'), 'messages': List(Json(decode=True)), 'source': Value('string'), 'domain': Value('string'), 'think_type': Value('string'), 'input_file': Value('string'), 'line_number': Value('int64'), 'global_index': Value('int64'), 'prompt_messages': List(Json(decode=True)), 'original_qa': {'question': Value('string'), 'answer': Value('string'), 'answer_reasoning_content': Value('null'), 'answer_message': {'role': Value('string'), 'content': Value('string')}}, 'qwen3_0_6b_response': Value('string'), 'qwen3_0_6b_responses': List(Value('string')), 'qwen3_0_6b_finish_reasons': List(Value('string')), 'qwen3_0_6b_stop_reasons': List(Value('null')), 'qwen3_0_6b_model': Value('string'), 'qwen3_0_6b_enable_thinking': Value('bool'), 'qwen3_0_6b_sampling_config': {'n': Value('int64'), 'temperature': Value('float64'), 'top_p': Value('float64'), 'top_k': Value('int64'), 'min_p': Value('float64'), 'max_new_tokens': Value('int64'), 'seed': Value('int64'), 'enable_thinking': Value('string')}}
              because column names don't match