Datasets:

---

Duplicated from  demo-leaderboard-backend/results

ongks1999

/

results

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
results: struct<anli_r1: struct<acc: double, acc_stderr: double>, logiqa: struct<acc: double, acc_stderr: dou (... 48 chars omitted)
  child 0, anli_r1: struct<acc: double, acc_stderr: double>
      child 0, acc: double
      child 1, acc_stderr: double
  child 1, logiqa: struct<acc: double, acc_stderr: double, acc_norm: double, acc_norm_stderr: double>
      child 0, acc: double
      child 1, acc_stderr: double
      child 2, acc_norm: double
      child 3, acc_norm_stderr: double
versions: struct<anli_r1: int64, logiqa: int64>
  child 0, anli_r1: int64
  child 1, logiqa: int64
config: struct<model: string, model_args: string, num_fewshot: int64, batch_size: int64, batch_sizes: list<i (... 165 chars omitted)
  child 0, model: string
  child 1, model_args: string
  child 2, num_fewshot: int64
  child 3, batch_size: int64
  child 4, batch_sizes: list<item: null>
      child 0, item: null
  child 5, device: string
  child 6, no_cache: bool
  child 7, limit: int64
  child 8, bootstrap_iters: int64
  child 9, description_dict: null
  child 10, model_dtype: string
  child 11, model_name: string
  child 12, model_sha: string
to
{'config': {'model_dtype': Value('string'), 'model_name': Value('string'), 'model_sha': Value('string')}, 'results': {'anli_r1': {'acc': Value('int64')}, 'logiqa': {'acc_norm': Value('float64')}}}
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
              results: struct<anli_r1: struct<acc: double, acc_stderr: double>, logiqa: struct<acc: double, acc_stderr: dou (... 48 chars omitted)
                child 0, anli_r1: struct<acc: double, acc_stderr: double>
                    child 0, acc: double
                    child 1, acc_stderr: double
                child 1, logiqa: struct<acc: double, acc_stderr: double, acc_norm: double, acc_norm_stderr: double>
                    child 0, acc: double
                    child 1, acc_stderr: double
                    child 2, acc_norm: double
                    child 3, acc_norm_stderr: double
              versions: struct<anli_r1: int64, logiqa: int64>
                child 0, anli_r1: int64
                child 1, logiqa: int64
              config: struct<model: string, model_args: string, num_fewshot: int64, batch_size: int64, batch_sizes: list<i (... 165 chars omitted)
                child 0, model: string
                child 1, model_args: string
                child 2, num_fewshot: int64
                child 3, batch_size: int64
                child 4, batch_sizes: list<item: null>
                    child 0, item: null
                child 5, device: string
                child 6, no_cache: bool
                child 7, limit: int64
                child 8, bootstrap_iters: int64
                child 9, description_dict: null
                child 10, model_dtype: string
                child 11, model_name: string
                child 12, model_sha: string
              to
              {'config': {'model_dtype': Value('string'), 'model_name': Value('string'), 'model_sha': Value('string')}, 'results': {'anli_r1': {'acc': Value('int64')}, 'logiqa': {'acc_norm': Value('float64')}}}
              because column names don't match