Datasets:

---

qwertsdcv

/

tmp-jsonl

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
question: string
answer: string
messages: list<item: string>
  child 0, item: string
source_file: string
answer_no_normalized: string
ori_trj_len: int64
extracted_answer: string
extraction_full_response: string
repeat_id: int64
datetime: string
golden_answer: string
task: string
modified_question: string
task_uid: string
response: string
duration: double
used_tool_calls: list<item: null>
  child 0, item: null
discard_count: int64
tool_use_count: int64
ori_requests_and_responses_file: string
thread_id: int64
process_id: int64
extracted_response: string
verify_result: struct<extracted_final_answer: null, equivalent: string, confidence: int64, raw_response: string>
  child 0, extracted_final_answer: null
  child 1, equivalent: string
  child 2, confidence: int64
  child 3, raw_response: string
source: string
difficult_ori: double
difficulty: string
quality: string
drop: bool
ori_trj_corr: string
to
{'question': Value('string'), 'answer': Value('string'), 'source': Value('string'), 'difficulty': Value('string'), 'quality': Value('string'), 'repeat_id': Value('int64'), 'datetime': Value('string'), 'golden_answer': Value('string'), 'task': Value('string'), 'modified_question': Value('string'), 'task_uid': Value('string'), 'messages': List(Json(decode=True)), 'response': Value('string'), 'duration': Value('float64'), 'used_tool_calls': List(Value('null')), 'discard_count': Value('int64'), 'tool_use_count': Value('int64'), 'ori_requests_and_responses_file': Value('string'), 'thread_id': Value('int64'), 'process_id': Value('int64'), 'extracted_response': Value('string'), 'verify_result': {'extracted_final_answer': Value('null'), 'equivalent': Value('string'), 'confidence': Value('int64'), 'raw_response': Value('string')}, 'drop': Value('bool'), 'source_file': Value('string'), 'difficult_ori': Value('float64'), 'ori_trj_corr': Value('string'), 'ori_trj_len': Value('int64')}
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
              question: string
              answer: string
              messages: list<item: string>
                child 0, item: string
              source_file: string
              answer_no_normalized: string
              ori_trj_len: int64
              extracted_answer: string
              extraction_full_response: string
              repeat_id: int64
              datetime: string
              golden_answer: string
              task: string
              modified_question: string
              task_uid: string
              response: string
              duration: double
              used_tool_calls: list<item: null>
                child 0, item: null
              discard_count: int64
              tool_use_count: int64
              ori_requests_and_responses_file: string
              thread_id: int64
              process_id: int64
              extracted_response: string
              verify_result: struct<extracted_final_answer: null, equivalent: string, confidence: int64, raw_response: string>
                child 0, extracted_final_answer: null
                child 1, equivalent: string
                child 2, confidence: int64
                child 3, raw_response: string
              source: string
              difficult_ori: double
              difficulty: string
              quality: string
              drop: bool
              ori_trj_corr: string
              to
              {'question': Value('string'), 'answer': Value('string'), 'source': Value('string'), 'difficulty': Value('string'), 'quality': Value('string'), 'repeat_id': Value('int64'), 'datetime': Value('string'), 'golden_answer': Value('string'), 'task': Value('string'), 'modified_question': Value('string'), 'task_uid': Value('string'), 'messages': List(Json(decode=True)), 'response': Value('string'), 'duration': Value('float64'), 'used_tool_calls': List(Value('null')), 'discard_count': Value('int64'), 'tool_use_count': Value('int64'), 'ori_requests_and_responses_file': Value('string'), 'thread_id': Value('int64'), 'process_id': Value('int64'), 'extracted_response': Value('string'), 'verify_result': {'extracted_final_answer': Value('null'), 'equivalent': Value('string'), 'confidence': Value('int64'), 'raw_response': Value('string')}, 'drop': Value('bool'), 'source_file': Value('string'), 'difficult_ori': Value('float64'), 'ori_trj_corr': Value('string'), 'ori_trj_len': Value('int64')}
              because column names don't match