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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
results: struct<piqa: struct<name: string, alias: string, sample_len: int64, acc,none: double, acc_stderr,non (... 8009 chars omitted)
child 0, piqa: struct<name: string, alias: string, sample_len: int64, acc,none: double, acc_stderr,none: double, ac (... 50 chars omitted)
child 0, name: string
child 1, alias: string
child 2, sample_len: int64
child 3, acc,none: double
child 4, acc_stderr,none: double
child 5, acc_norm,none: double
child 6, acc_norm_stderr,none: double
child 1, hellaswag: struct<name: string, alias: string, sample_len: int64, acc,none: double, acc_stderr,none: double, ac (... 50 chars omitted)
child 0, name: string
child 1, alias: string
child 2, sample_len: int64
child 3, acc,none: double
child 4, acc_stderr,none: double
child 5, acc_norm,none: double
child 6, acc_norm_stderr,none: double
child 2, mmlu_abstract_algebra: struct<name: string, alias: string, sample_len: int64, acc,none: double, acc_stderr,none: double>
child 0, name: string
child 1, alias: string
child 2, sample_len: int64
child 3, acc,none: double
child 4, acc_stderr,none: double
child 3, mmlu_anatomy: struct<name: string, alias: string, sample_len: int64, acc,none: double, acc_stderr,none: double>
child 0, name: string
child 1, alias: string
child 2, sample_len: int64
child 3, acc,none: double
child 4, acc_stderr,none: double
child 4, mmlu_a
...
_virology: string
child 34, mmlu_econometrics: string
child 35, mmlu_high_school_geography: string
child 36, mmlu_high_school_government_and_politics: string
child 37, mmlu_high_school_macroeconomics: string
child 38, mmlu_high_school_microeconomics: string
child 39, mmlu_high_school_psychology: string
child 40, mmlu_human_sexuality: string
child 41, mmlu_professional_psychology: string
child 42, mmlu_public_relations: string
child 43, mmlu_security_studies: string
child 44, mmlu_sociology: string
child 45, mmlu_us_foreign_policy: string
child 46, mmlu_formal_logic: string
child 47, mmlu_high_school_european_history: string
child 48, mmlu_high_school_us_history: string
child 49, mmlu_high_school_world_history: string
child 50, mmlu_international_law: string
child 51, mmlu_jurisprudence: string
child 52, mmlu_logical_fallacies: string
child 53, mmlu_moral_disputes: string
child 54, mmlu_moral_scenarios: string
child 55, mmlu_philosophy: string
child 56, mmlu_prehistory: string
child 57, mmlu_professional_law: string
child 58, mmlu_world_religions: string
model_source: string
model_name: string
model_name_sanitized: string
system_instruction: null
system_instruction_sha: null
fewshot_as_multiturn: null
chat_template: null
chat_template_sha: null
total_evaluation_time_seconds: string
mean_score: double
model: string
backend: string
commands: list<item: string>
child 0, item: string
healed: list<item: null>
child 0, item: null
to
{'model': Value('string'), 'backend': Value('string'), 'mean_score': Value('float64'), 'results': {'piqa': {'score': Value('float64'), 'metric': Value('string'), 'num_samples': Value('int64')}, 'hellaswag': {'score': Value('float64'), 'metric': Value('string'), 'num_samples': Value('int64')}, 'mmlu': {'score': Value('float64'), 'metric': Value('string'), 'num_samples': Value('int64')}, 'gsm8k': {'score': Value('float64'), 'metric': Value('string'), 'num_samples': Value('int64')}}, 'commands': List(Value('string')), 'healed': List(Value('null'))}
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
results: struct<piqa: struct<name: string, alias: string, sample_len: int64, acc,none: double, acc_stderr,non (... 8009 chars omitted)
child 0, piqa: struct<name: string, alias: string, sample_len: int64, acc,none: double, acc_stderr,none: double, ac (... 50 chars omitted)
child 0, name: string
child 1, alias: string
child 2, sample_len: int64
child 3, acc,none: double
child 4, acc_stderr,none: double
child 5, acc_norm,none: double
child 6, acc_norm_stderr,none: double
child 1, hellaswag: struct<name: string, alias: string, sample_len: int64, acc,none: double, acc_stderr,none: double, ac (... 50 chars omitted)
child 0, name: string
child 1, alias: string
child 2, sample_len: int64
child 3, acc,none: double
child 4, acc_stderr,none: double
child 5, acc_norm,none: double
child 6, acc_norm_stderr,none: double
child 2, mmlu_abstract_algebra: struct<name: string, alias: string, sample_len: int64, acc,none: double, acc_stderr,none: double>
child 0, name: string
child 1, alias: string
child 2, sample_len: int64
child 3, acc,none: double
child 4, acc_stderr,none: double
child 3, mmlu_anatomy: struct<name: string, alias: string, sample_len: int64, acc,none: double, acc_stderr,none: double>
child 0, name: string
child 1, alias: string
child 2, sample_len: int64
child 3, acc,none: double
child 4, acc_stderr,none: double
child 4, mmlu_a
...
_virology: string
child 34, mmlu_econometrics: string
child 35, mmlu_high_school_geography: string
child 36, mmlu_high_school_government_and_politics: string
child 37, mmlu_high_school_macroeconomics: string
child 38, mmlu_high_school_microeconomics: string
child 39, mmlu_high_school_psychology: string
child 40, mmlu_human_sexuality: string
child 41, mmlu_professional_psychology: string
child 42, mmlu_public_relations: string
child 43, mmlu_security_studies: string
child 44, mmlu_sociology: string
child 45, mmlu_us_foreign_policy: string
child 46, mmlu_formal_logic: string
child 47, mmlu_high_school_european_history: string
child 48, mmlu_high_school_us_history: string
child 49, mmlu_high_school_world_history: string
child 50, mmlu_international_law: string
child 51, mmlu_jurisprudence: string
child 52, mmlu_logical_fallacies: string
child 53, mmlu_moral_disputes: string
child 54, mmlu_moral_scenarios: string
child 55, mmlu_philosophy: string
child 56, mmlu_prehistory: string
child 57, mmlu_professional_law: string
child 58, mmlu_world_religions: string
model_source: string
model_name: string
model_name_sanitized: string
system_instruction: null
system_instruction_sha: null
fewshot_as_multiturn: null
chat_template: null
chat_template_sha: null
total_evaluation_time_seconds: string
mean_score: double
model: string
backend: string
commands: list<item: string>
child 0, item: string
healed: list<item: null>
child 0, item: null
to
{'model': Value('string'), 'backend': Value('string'), 'mean_score': Value('float64'), 'results': {'piqa': {'score': Value('float64'), 'metric': Value('string'), 'num_samples': Value('int64')}, 'hellaswag': {'score': Value('float64'), 'metric': Value('string'), 'num_samples': Value('int64')}, 'mmlu': {'score': Value('float64'), 'metric': Value('string'), 'num_samples': Value('int64')}, 'gsm8k': {'score': Value('float64'), 'metric': Value('string'), 'num_samples': Value('int64')}}, 'commands': List(Value('string')), 'healed': List(Value('null'))}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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