Datasets:

---

shanjiaz

/

dspark-kimi-k3-regen

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
id: string
primary_id: string
input_ids: list<item: int64>
  child 0, item: int64
loss_mask: list<item: int64>
  child 0, item: int64
text: string
metadata: struct<idx: int64, finish_reason: string, is_tool_call: bool, usage: struct<prompt_tokens: int64, to (... 119 chars omitted)
  child 0, idx: int64
  child 1, finish_reason: string
  child 2, is_tool_call: bool
  child 3, usage: struct<prompt_tokens: int64, total_tokens: int64, completion_tokens: int64, prompt_tokens_details: n (... 4 chars omitted)
      child 0, prompt_tokens: int64
      child 1, total_tokens: int64
      child 2, completion_tokens: int64
      child 3, prompt_tokens_details: null
  child 4, endpoint: string
  child 5, sampling_params: struct<>
to
{'id': Value('string'), 'metadata': {'idx': Value('int64'), 'error': Value('string'), 'generations_completed': Value('int64'), 'endpoint': 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/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
              id: string
              primary_id: string
              input_ids: list<item: int64>
                child 0, item: int64
              loss_mask: list<item: int64>
                child 0, item: int64
              text: string
              metadata: struct<idx: int64, finish_reason: string, is_tool_call: bool, usage: struct<prompt_tokens: int64, to (... 119 chars omitted)
                child 0, idx: int64
                child 1, finish_reason: string
                child 2, is_tool_call: bool
                child 3, usage: struct<prompt_tokens: int64, total_tokens: int64, completion_tokens: int64, prompt_tokens_details: n (... 4 chars omitted)
                    child 0, prompt_tokens: int64
                    child 1, total_tokens: int64
                    child 2, completion_tokens: int64
                    child 3, prompt_tokens_details: null
                child 4, endpoint: string
                child 5, sampling_params: struct<>
              to
              {'id': Value('string'), 'metadata': {'idx': Value('int64'), 'error': Value('string'), 'generations_completed': Value('int64'), 'endpoint': Value('string')}}
              because column names don't match