Datasets:

---

nguyen599

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dspk-0423-trace

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
model: string
messages: list<item: struct<role: string, content: string>>
  child 0, item: struct<role: string, content: string>
      child 0, role: string
      child 1, content: string
temperature: double
top_p: double
max_completion_tokens: int64
seed: int64
n: int64
stream: bool
stream_options: struct<include_usage: bool>
  child 0, include_usage: bool
response: struct<id: string, model: string, content: string, reasoning_content: string, finish_reason: string, (... 590 chars omitted)
  child 0, id: string
  child 1, model: string
  child 2, content: string
  child 3, reasoning_content: string
  child 4, finish_reason: string
  child 5, usage: struct<completion_tokens: int64, prompt_tokens: int64, total_tokens: int64, completion_tokens_detail (... 368 chars omitted)
      child 0, completion_tokens: int64
      child 1, prompt_tokens: int64
      child 2, total_tokens: int64
      child 3, completion_tokens_details: struct<audio_tokens: int64, reasoning_tokens: int64, image_tokens: int64>
          child 0, audio_tokens: int64
          child 1, reasoning_tokens: int64
          child 2, image_tokens: int64
      child 4, prompt_tokens_details: struct<audio_tokens: int64, cache_write_tokens: int64, cached_tokens: int64, video_tokens: int64>
          child 0, audio_tokens: int64
          child 1, cache_write_tokens: int64
          child 2, cached_tokens: int64
          child 3, video_tokens: int64
      child 5, cost: double
      child 6, is_byok: bool
      child 7, cost_details: struct<upstream_inference_cost: double, upstream_inference_prompt_cost: double, upstream_inference_c (... 24 chars omitted)
          child 0, upstream_inference_cost: double
          child 1, upstream_inference_prompt_cost: double
          child 2, upstream_inference_completions_cost: double
  child 6, started_at: double
  child 7, elapsed_seconds: double
  child 8, runtime: struct<execution_id: string, speculative_algorithm: null>
      child 0, execution_id: string
      child 1, speculative_algorithm: null
answer_status: string
request: struct<model: string, messages: list<item: struct<role: string, content: string>>, temperature: doub (... 130 chars omitted)
  child 0, model: string
  child 1, messages: list<item: struct<role: string, content: string>>
      child 0, item: struct<role: string, content: string>
          child 0, role: string
          child 1, content: string
  child 2, temperature: double
  child 3, top_p: double
  child 4, max_completion_tokens: int64
  child 5, seed: int64
  child 6, n: int64
  child 7, stream: bool
  child 8, stream_options: struct<include_usage: bool>
      child 0, include_usage: bool
repeat: int64
problem_idx: int64
parsed_answer: list<item: string>
  child 0, item: string
scoring_protocol: string
gold: string
boxed_answer: string
correct: bool
dataset: string
to
{'dataset': Value('string'), 'problem_idx': Value('int64'), 'repeat': Value('int64'), 'gold': Value('string'), 'request': {'model': Value('string'), 'messages': List({'role': Value('string'), 'content': Value('string')}), 'temperature': Value('float64'), 'top_p': Value('float64'), 'max_completion_tokens': Value('int64'), 'seed': Value('int64'), 'n': Value('int64'), 'stream': Value('bool'), 'stream_options': {'include_usage': Value('bool')}}, 'response': {'id': Value('string'), 'model': Value('string'), 'content': Value('string'), 'reasoning_content': Value('string'), 'finish_reason': Value('string'), 'usage': {'completion_tokens': Value('int64'), 'prompt_tokens': Value('int64'), 'total_tokens': Value('int64'), 'completion_tokens_details': {'audio_tokens': Value('int64'), 'reasoning_tokens': Value('int64'), 'image_tokens': Value('int64')}, 'prompt_tokens_details': {'audio_tokens': Value('int64'), 'cache_write_tokens': Value('int64'), 'cached_tokens': Value('int64'), 'video_tokens': Value('int64')}, 'cost': Value('float64'), 'is_byok': Value('bool'), 'cost_details': {'upstream_inference_cost': Value('float64'), 'upstream_inference_prompt_cost': Value('float64'), 'upstream_inference_completions_cost': Value('float64')}}, 'started_at': Value('float64'), 'elapsed_seconds': Value('float64'), 'runtime': {'execution_id': Value('string'), 'speculative_algorithm': Value('null')}}, 'boxed_answer': Value('string'), 'parsed_answer': List(Value('string')), 'correct': Value('bool'), 'answer_status': Value('string'), 'scoring_protocol': 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
              model: string
              messages: list<item: struct<role: string, content: string>>
                child 0, item: struct<role: string, content: string>
                    child 0, role: string
                    child 1, content: string
              temperature: double
              top_p: double
              max_completion_tokens: int64
              seed: int64
              n: int64
              stream: bool
              stream_options: struct<include_usage: bool>
                child 0, include_usage: bool
              response: struct<id: string, model: string, content: string, reasoning_content: string, finish_reason: string, (... 590 chars omitted)
                child 0, id: string
                child 1, model: string
                child 2, content: string
                child 3, reasoning_content: string
                child 4, finish_reason: string
                child 5, usage: struct<completion_tokens: int64, prompt_tokens: int64, total_tokens: int64, completion_tokens_detail (... 368 chars omitted)
                    child 0, completion_tokens: int64
                    child 1, prompt_tokens: int64
                    child 2, total_tokens: int64
                    child 3, completion_tokens_details: struct<audio_tokens: int64, reasoning_tokens: int64, image_tokens: int64>
                        child 0, audio_tokens: int64
                        child 1, reasoning_tokens: int64
                        child 2, image_tokens: int64
                    child 4, prompt_tokens_details: struct<audio_tokens: int64, cache_write_tokens: int64, cached_tokens: int64, video_tokens: int64>
                        child 0, audio_tokens: int64
                        child 1, cache_write_tokens: int64
                        child 2, cached_tokens: int64
                        child 3, video_tokens: int64
                    child 5, cost: double
                    child 6, is_byok: bool
                    child 7, cost_details: struct<upstream_inference_cost: double, upstream_inference_prompt_cost: double, upstream_inference_c (... 24 chars omitted)
                        child 0, upstream_inference_cost: double
                        child 1, upstream_inference_prompt_cost: double
                        child 2, upstream_inference_completions_cost: double
                child 6, started_at: double
                child 7, elapsed_seconds: double
                child 8, runtime: struct<execution_id: string, speculative_algorithm: null>
                    child 0, execution_id: string
                    child 1, speculative_algorithm: null
              answer_status: string
              request: struct<model: string, messages: list<item: struct<role: string, content: string>>, temperature: doub (... 130 chars omitted)
                child 0, model: string
                child 1, messages: list<item: struct<role: string, content: string>>
                    child 0, item: struct<role: string, content: string>
                        child 0, role: string
                        child 1, content: string
                child 2, temperature: double
                child 3, top_p: double
                child 4, max_completion_tokens: int64
                child 5, seed: int64
                child 6, n: int64
                child 7, stream: bool
                child 8, stream_options: struct<include_usage: bool>
                    child 0, include_usage: bool
              repeat: int64
              problem_idx: int64
              parsed_answer: list<item: string>
                child 0, item: string
              scoring_protocol: string
              gold: string
              boxed_answer: string
              correct: bool
              dataset: string
              to
              {'dataset': Value('string'), 'problem_idx': Value('int64'), 'repeat': Value('int64'), 'gold': Value('string'), 'request': {'model': Value('string'), 'messages': List({'role': Value('string'), 'content': Value('string')}), 'temperature': Value('float64'), 'top_p': Value('float64'), 'max_completion_tokens': Value('int64'), 'seed': Value('int64'), 'n': Value('int64'), 'stream': Value('bool'), 'stream_options': {'include_usage': Value('bool')}}, 'response': {'id': Value('string'), 'model': Value('string'), 'content': Value('string'), 'reasoning_content': Value('string'), 'finish_reason': Value('string'), 'usage': {'completion_tokens': Value('int64'), 'prompt_tokens': Value('int64'), 'total_tokens': Value('int64'), 'completion_tokens_details': {'audio_tokens': Value('int64'), 'reasoning_tokens': Value('int64'), 'image_tokens': Value('int64')}, 'prompt_tokens_details': {'audio_tokens': Value('int64'), 'cache_write_tokens': Value('int64'), 'cached_tokens': Value('int64'), 'video_tokens': Value('int64')}, 'cost': Value('float64'), 'is_byok': Value('bool'), 'cost_details': {'upstream_inference_cost': Value('float64'), 'upstream_inference_prompt_cost': Value('float64'), 'upstream_inference_completions_cost': Value('float64')}}, 'started_at': Value('float64'), 'elapsed_seconds': Value('float64'), 'runtime': {'execution_id': Value('string'), 'speculative_algorithm': Value('null')}}, 'boxed_answer': Value('string'), 'parsed_answer': List(Value('string')), 'correct': Value('bool'), 'answer_status': Value('string'), 'scoring_protocol': Value('string')}
              because column names don't match