Datasets:

---

fazinahamed

/

AIModelTraining-artifacts

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
input: string
count: int64
fail_count: int64
warn_count: int64
rows: list<item: struct<id: string, chars: int64, honesty: struct<score: double, findings: list<item: stru (... 102 chars omitted)
  child 0, item: struct<id: string, chars: int64, honesty: struct<score: double, findings: list<item: struct<kind: st (... 90 chars omitted)
      child 0, id: string
      child 1, chars: int64
      child 2, honesty: struct<score: double, findings: list<item: struct<kind: string, severity: string, message: string>>, (... 47 chars omitted)
          child 0, score: double
          child 1, findings: list<item: struct<kind: string, severity: string, message: string>>
              child 0, item: struct<kind: string, severity: string, message: string>
                  child 0, kind: string
                  child 1, severity: string
                  child 2, message: string
          child 2, repeated_commands: struct<>
          child 3, acceptable: bool
created_at: timestamp[s]
generations: list<item: struct<id: string, prompt: string, output: string, chars: int64>>
  child 0, item: struct<id: string, prompt: string, output: string, chars: int64>
      child 0, id: string
      child 1, prompt: string
      child 2, output: string
      child 3, chars: int64
base_model: string
output_path: string
adapter_path: string
to
{'created_at': Value('timestamp[s]'), 'base_model': Value('string'), 'adapter_path': Value('string'), 'output_path': Value('string'), 'count': Value('int64'), 'generations': List({'id': Value('string'), 'prompt': Value('string'), 'output': Value('string'), 'chars': 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 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
              input: string
              count: int64
              fail_count: int64
              warn_count: int64
              rows: list<item: struct<id: string, chars: int64, honesty: struct<score: double, findings: list<item: stru (... 102 chars omitted)
                child 0, item: struct<id: string, chars: int64, honesty: struct<score: double, findings: list<item: struct<kind: st (... 90 chars omitted)
                    child 0, id: string
                    child 1, chars: int64
                    child 2, honesty: struct<score: double, findings: list<item: struct<kind: string, severity: string, message: string>>, (... 47 chars omitted)
                        child 0, score: double
                        child 1, findings: list<item: struct<kind: string, severity: string, message: string>>
                            child 0, item: struct<kind: string, severity: string, message: string>
                                child 0, kind: string
                                child 1, severity: string
                                child 2, message: string
                        child 2, repeated_commands: struct<>
                        child 3, acceptable: bool
              created_at: timestamp[s]
              generations: list<item: struct<id: string, prompt: string, output: string, chars: int64>>
                child 0, item: struct<id: string, prompt: string, output: string, chars: int64>
                    child 0, id: string
                    child 1, prompt: string
                    child 2, output: string
                    child 3, chars: int64
              base_model: string
              output_path: string
              adapter_path: string
              to
              {'created_at': Value('timestamp[s]'), 'base_model': Value('string'), 'adapter_path': Value('string'), 'output_path': Value('string'), 'count': Value('int64'), 'generations': List({'id': Value('string'), 'prompt': Value('string'), 'output': Value('string'), 'chars': Value('int64')})}
              because column names don't match