Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
gsm8k: struct<exact_match,strict-match: double, exact_match_stderr,strict-match: double, exact_match,flexib (... 80 chars omitted)
  child 0, exact_match,strict-match: double
  child 1, exact_match_stderr,strict-match: double
  child 2, exact_match,flexible-extract: double
  child 3, exact_match_stderr,flexible-extract: double
  child 4, samples: int64
gpu: string
task: string
dtype: string
decoding: struct<do_sample: bool, max_new_tokens: int64, until: list<item: string>>
  child 0, do_sample: bool
  child 1, max_new_tokens: int64
  child 2, until: list<item: string>
      child 0, item: string
completed_at: string
fewshot_split: string
max_context_length: int64
fewshot_seed: int64
python_version: string
num_fewshot: int64
test_examples: int64
prompt_template: string
torch_version: string
attention: string
job_id: string
model_id: string
task_source: string
dataset: string
elapsed_seconds: double
task_version: int64
split: string
batch_size: int64
transformers_version: string
apply_chat_template: bool
model_revision: string
to
{'model_id': Value('string'), 'model_revision': Value('string'), 'task': Value('string'), 'task_version': Value('int64'), 'task_source': Value('string'), 'dataset': Value('string'), 'split': Value('string'), 'test_examples': Value('int64'), 'num_fewshot': Value('int64'), 'fewshot_split': Value('string'), 'apply_chat_template': Value('bool'), 'prompt_template': Value('string'), 'fewshot_seed': Value('int64'), 'decoding': {'do_sample': Value('bool'), 'max_new_tokens': Value('int64'), 'until': List(Value('string'))}, 'dtype': Value('string'), 'attention': Value('string'), 'batch_size': Value('int64'), 'max_context_length': Value('int64'), 'transformers_version': Value('string'), 'torch_version': Value('string'), 'python_version': Value('string'), 'gpu': Value('string'), 'job_id': Value('string'), 'elapsed_seconds': Value('float64'), 'completed_at': 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
              gsm8k: struct<exact_match,strict-match: double, exact_match_stderr,strict-match: double, exact_match,flexib (... 80 chars omitted)
                child 0, exact_match,strict-match: double
                child 1, exact_match_stderr,strict-match: double
                child 2, exact_match,flexible-extract: double
                child 3, exact_match_stderr,flexible-extract: double
                child 4, samples: int64
              gpu: string
              task: string
              dtype: string
              decoding: struct<do_sample: bool, max_new_tokens: int64, until: list<item: string>>
                child 0, do_sample: bool
                child 1, max_new_tokens: int64
                child 2, until: list<item: string>
                    child 0, item: string
              completed_at: string
              fewshot_split: string
              max_context_length: int64
              fewshot_seed: int64
              python_version: string
              num_fewshot: int64
              test_examples: int64
              prompt_template: string
              torch_version: string
              attention: string
              job_id: string
              model_id: string
              task_source: string
              dataset: string
              elapsed_seconds: double
              task_version: int64
              split: string
              batch_size: int64
              transformers_version: string
              apply_chat_template: bool
              model_revision: string
              to
              {'model_id': Value('string'), 'model_revision': Value('string'), 'task': Value('string'), 'task_version': Value('int64'), 'task_source': Value('string'), 'dataset': Value('string'), 'split': Value('string'), 'test_examples': Value('int64'), 'num_fewshot': Value('int64'), 'fewshot_split': Value('string'), 'apply_chat_template': Value('bool'), 'prompt_template': Value('string'), 'fewshot_seed': Value('int64'), 'decoding': {'do_sample': Value('bool'), 'max_new_tokens': Value('int64'), 'until': List(Value('string'))}, 'dtype': Value('string'), 'attention': Value('string'), 'batch_size': Value('int64'), 'max_context_length': Value('int64'), 'transformers_version': Value('string'), 'torch_version': Value('string'), 'python_version': Value('string'), 'gpu': Value('string'), 'job_id': Value('string'), 'elapsed_seconds': Value('float64'), 'completed_at': Value('string')}
              because column names don't match

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Gemma 4 26B-A4B 路 GSM8K

Full 1,319-example GSM8K v3 5-shot evaluation of the pretrained base checkpoint, matching lm-evaluation-harness 0.4.13 prompting, extraction, and exact-match normalization. See provenance.json for the runtime manifest and samples.jsonl for per-example generations.

Downloads last month
-

Space using dureduck/gemma-4-26b-a4b-gsm8k-eval 1