Datasets:

---

Firmansyah-Ibrahim

/

JCAL-automatic-evaluation-artifacts

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
config: struct<model_id: string, revision: string, kind: string, quantize_4bit: bool, arm: string, seed: int (... 51 chars omitted)
  child 0, model_id: string
  child 1, revision: string
  child 2, kind: string
  child 3, quantize_4bit: bool
  child 4, arm: string
  child 5, seed: int64
  child 6, max_input_tokens: int64
  child 7, max_new_tokens: int64
corpus_sha: string
code_sha: string
prompts_sha: string
environment: struct<python: string, torch: string, transformers: string, peft: string, accelerate: string, bitsan (... 30 chars omitted)
  child 0, python: string
  child 1, torch: string
  child 2, transformers: string
  child 3, peft: string
  child 4, accelerate: string
  child 5, bitsandbytes: string
  child 6, numpy: string
prediction_sha: string
parameters_reported: int64
gpu_names: list<item: string>
  child 0, item: string
n: int64
peak_allocated_bytes_by_gpu: struct<0: int64, 1: int64>
  child 0, 0: int64
  child 1, 1: int64
timing_note: string
to
{'n': Value('int64'), 'prediction_sha': Value('string'), 'parameters_reported': Value('int64'), 'peak_allocated_bytes_by_gpu': {'0': Value('int64'), '1': Value('int64')}, 'gpu_names': List(Value('string')), 'timing_note': 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
              config: struct<model_id: string, revision: string, kind: string, quantize_4bit: bool, arm: string, seed: int (... 51 chars omitted)
                child 0, model_id: string
                child 1, revision: string
                child 2, kind: string
                child 3, quantize_4bit: bool
                child 4, arm: string
                child 5, seed: int64
                child 6, max_input_tokens: int64
                child 7, max_new_tokens: int64
              corpus_sha: string
              code_sha: string
              prompts_sha: string
              environment: struct<python: string, torch: string, transformers: string, peft: string, accelerate: string, bitsan (... 30 chars omitted)
                child 0, python: string
                child 1, torch: string
                child 2, transformers: string
                child 3, peft: string
                child 4, accelerate: string
                child 5, bitsandbytes: string
                child 6, numpy: string
              prediction_sha: string
              parameters_reported: int64
              gpu_names: list<item: string>
                child 0, item: string
              n: int64
              peak_allocated_bytes_by_gpu: struct<0: int64, 1: int64>
                child 0, 0: int64
                child 1, 1: int64
              timing_note: string
              to
              {'n': Value('int64'), 'prediction_sha': Value('string'), 'parameters_reported': Value('int64'), 'peak_allocated_bytes_by_gpu': {'0': Value('int64'), '1': Value('int64')}, 'gpu_names': List(Value('string')), 'timing_note': Value('string')}
              because column names don't match