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aimosprite

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qwen35-d2moe-longctx-eval-artifacts

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Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
node: string
run: string
model_id: string
max_model_len: int64
max_tokens: int64
tensor_parallel_size: int64
snapshot_completed_prompts: int64
snapshot_accuracy: double
is_final: bool
accuracy: double
num_total_prompts: int64
num_correct: int64
batch_size: int64
status: string
num_completed_prompts: int64
num_rows: int64
to
{'num_rows': Value('int64'), 'num_correct': Value('int64'), 'accuracy': Value('float64'), 'model_id': Value('string'), 'batch_size': Value('int64'), 'max_model_len': Value('int64'), 'tensor_parallel_size': Value('int64'), 'num_completed_prompts': Value('int64'), 'num_total_prompts': Value('int64'), 'status': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 289, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 124, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              node: string
              run: string
              model_id: string
              max_model_len: int64
              max_tokens: int64
              tensor_parallel_size: int64
              snapshot_completed_prompts: int64
              snapshot_accuracy: double
              is_final: bool
              accuracy: double
              num_total_prompts: int64
              num_correct: int64
              batch_size: int64
              status: string
              num_completed_prompts: int64
              num_rows: int64
              to
              {'num_rows': Value('int64'), 'num_correct': Value('int64'), 'accuracy': Value('float64'), 'model_id': Value('string'), 'batch_size': Value('int64'), 'max_model_len': Value('int64'), 'tensor_parallel_size': Value('int64'), 'num_completed_prompts': Value('int64'), 'num_total_prompts': Value('int64'), 'status': Value('string')}
              because column names don't match