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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: TypeError
Message: Couldn't cast array of type
struct<value: double, eval_source: string, eval_date: string, raw: struct<bbq_generate: struct<name: string, alias: string, sample_len: int64, acc,none: double, acc_stderr,none: double, accuracy_amb,none: double, accuracy_amb_stderr,none: string, accuracy_disamb,none: double, accuracy_disamb_stderr,none: string, amb_bias_score,none: double, amb_bias_score_stderr,none: string, disamb_bias_score,none: double, disamb_bias_score_stderr,none: string, amb_bias_score_Age,none: double, amb_bias_score_Age_stderr,none: string, disamb_bias_score_Age,none: double, disamb_bias_score_Age_stderr,none: string, amb_bias_score_Disability_status,none: double, amb_bias_score_Disability_status_stderr,none: string, amb_bias_score_Gender_identity,none: double, amb_bias_score_Gender_identity_stderr,none: string, amb_bias_score_Nationality,none: double, amb_bias_score_Nationality_stderr,none: string, amb_bias_score_Physical_appearance,none: double, amb_bias_score_Physical_appearance_stderr,none: string, amb_bias_score_Race_ethnicity,none: double, amb_bias_score_Race_ethnicity_stderr,none: string, amb_bias_score_Race_x_gender,none: double, amb_bias_score_Race_x_gender_stderr,none: string, amb_bias_score_Race_x_SES,none: double, amb_bias_score_Race_x_SES_stderr,none: string, amb_bias_score_Religion,none: double, amb_bias_score_Religion_stderr,none: string, amb_bias_score_SES,none: double, amb_bias_score_SES_stderr,none: string, amb_bias_score_Sexual_orientation,none: double, amb_bias_score_Sexual_orientation_stderr,none: string, disamb_bias_score_Disability_status,none: double, disamb_bias_score_Disability_status_stderr,none: string, disamb_bias_score_Gender_identity,none: double, disamb_bias_score_Gender_identity_stderr,none: string, disamb_bias_score_Nationality,none: double, disamb_bias_score_Nationality_stderr,none: string, disamb_bias_score_Physical_appearance,none: double, disamb_bias_score_Physical_appearance_stderr,none: string, disamb_bias_score_Race_ethnicity,none: double, disamb_bias_score_Race_ethnicity_stderr,none: string, disamb_bias_score_Race_x_gender,none: double, disamb_bias_score_Race_x_gender_stderr,none: string, disamb_bias_score_Race_x_SES,none: double, disamb_bias_score_Race_x_SES_stderr,none: string, disamb_bias_score_Religion,none: double, disamb_bias_score_Religion_stderr,none: string, disamb_bias_score_SES,none: double, disamb_bias_score_SES_stderr,none: string, disamb_bias_score_Sexual_orientation,none: double, disamb_bias_score_Sexual_orientation_stderr,none: string>>, judge_model: null, error: null, n_samples: int64, n_failed: null, normalized: double>
to
{'value': Value('float64'), 'eval_source': Value('string'), 'eval_date': Value('string'), 'raw': {'bbq_generate': {'name': Value('string'), 'alias': Value('string'), 'sample_len': Value('int64'), 'acc,none': Value('float64'), 'acc_stderr,none': Value('float64'), 'accuracy_amb,none': Value('float64'), 'accuracy_amb_stderr,none': Value('string'), 'accuracy_disamb,none': Value('float64'), 'accuracy_disamb_stderr,none': Value('string'), 'amb_bias_score,none': Value('float64'), 'amb_bias_score_stderr,none': Value('string'), 'disamb_bias_score,none': Value('float64'), 'disamb_bias_score_stderr,none': Value('string'), 'amb_bias_score_Age,none': Value('float64'), 'amb_bias_score_Age_stderr,none': Value('string'), 'disamb_bias_score_Age,none': Value('float64'), 'disamb_bias_score_Age_stderr,none': Value('string'), 'amb_bias_score_Disability_status,none': Value('float64'), 'amb_bias_score_Disability_status_stderr,none': Value('string'), 'amb_bias_score_Gender_identity,none': Value('float64'), 'amb_bias_score_Gender_identity_stderr,none': Value('string'), 'amb_bias_score_Nationality,none': Value('float64'), 'amb_bias_score_Nationality_stderr,none': Value('string'), 'amb_bias_score_Physical_appearance,none': Value('float64'), 'amb_bias_score_Physical_appearance_stderr,none': Value('string'), 'amb_bias_score_Race_ethnicity,none': Value('float64'), 'amb_bias_score_Race_ethnicity_stderr,none': Value('string'), 'amb_bias_score_Race_x_gender,none': Value('float64'), 'amb_bias_score_Race_x_gen
...
_score_SES_stderr,none': Value('string'), 'amb_bias_score_Sexual_orientation,none': Value('float64'), 'amb_bias_score_Sexual_orientation_stderr,none': Value('string'), 'disamb_bias_score_Disability_status,none': Value('float64'), 'disamb_bias_score_Disability_status_stderr,none': Value('string'), 'disamb_bias_score_Gender_identity,none': Value('float64'), 'disamb_bias_score_Gender_identity_stderr,none': Value('string'), 'disamb_bias_score_Nationality,none': Value('float64'), 'disamb_bias_score_Nationality_stderr,none': Value('string'), 'disamb_bias_score_Physical_appearance,none': Value('float64'), 'disamb_bias_score_Physical_appearance_stderr,none': Value('string'), 'disamb_bias_score_Race_ethnicity,none': Value('float64'), 'disamb_bias_score_Race_ethnicity_stderr,none': Value('string'), 'disamb_bias_score_Race_x_gender,none': Value('float64'), 'disamb_bias_score_Race_x_gender_stderr,none': Value('string'), 'disamb_bias_score_Race_x_SES,none': Value('float64'), 'disamb_bias_score_Race_x_SES_stderr,none': Value('string'), 'disamb_bias_score_Religion,none': Value('float64'), 'disamb_bias_score_Religion_stderr,none': Value('string'), 'disamb_bias_score_SES,none': Value('float64'), 'disamb_bias_score_SES_stderr,none': Value('string'), 'disamb_bias_score_Sexual_orientation,none': Value('float64'), 'disamb_bias_score_Sexual_orientation_stderr,none': Value('string')}}, 'judge_model': Value('null'), 'error': Value('null'), 'n_samples': Value('int64'), 'normalized': Value('float64')}
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 478, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2303, in cast_table_to_schema
cast_array_to_feature(
~~~~~~~~~~~~~~~~~~~~~^
table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
feature,
^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1852, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2059, in cast_array_to_feature
_c(array.field(name) if name in array_fields else null_array, subfeature)
~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
return func(array, *args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2149, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<value: double, eval_source: string, eval_date: string, raw: struct<bbq_generate: struct<name: string, alias: string, sample_len: int64, acc,none: double, acc_stderr,none: double, accuracy_amb,none: double, accuracy_amb_stderr,none: string, accuracy_disamb,none: double, accuracy_disamb_stderr,none: string, amb_bias_score,none: double, amb_bias_score_stderr,none: string, disamb_bias_score,none: double, disamb_bias_score_stderr,none: string, amb_bias_score_Age,none: double, amb_bias_score_Age_stderr,none: string, disamb_bias_score_Age,none: double, disamb_bias_score_Age_stderr,none: string, amb_bias_score_Disability_status,none: double, amb_bias_score_Disability_status_stderr,none: string, amb_bias_score_Gender_identity,none: double, amb_bias_score_Gender_identity_stderr,none: string, amb_bias_score_Nationality,none: double, amb_bias_score_Nationality_stderr,none: string, amb_bias_score_Physical_appearance,none: double, amb_bias_score_Physical_appearance_stderr,none: string, amb_bias_score_Race_ethnicity,none: double, amb_bias_score_Race_ethnicity_stderr,none: string, amb_bias_score_Race_x_gender,none: double, amb_bias_score_Race_x_gender_stderr,none: string, amb_bias_score_Race_x_SES,none: double, amb_bias_score_Race_x_SES_stderr,none: string, amb_bias_score_Religion,none: double, amb_bias_score_Religion_stderr,none: string, amb_bias_score_SES,none: double, amb_bias_score_SES_stderr,none: string, amb_bias_score_Sexual_orientation,none: double, amb_bias_score_Sexual_orientation_stderr,none: string, disamb_bias_score_Disability_status,none: double, disamb_bias_score_Disability_status_stderr,none: string, disamb_bias_score_Gender_identity,none: double, disamb_bias_score_Gender_identity_stderr,none: string, disamb_bias_score_Nationality,none: double, disamb_bias_score_Nationality_stderr,none: string, disamb_bias_score_Physical_appearance,none: double, disamb_bias_score_Physical_appearance_stderr,none: string, disamb_bias_score_Race_ethnicity,none: double, disamb_bias_score_Race_ethnicity_stderr,none: string, disamb_bias_score_Race_x_gender,none: double, disamb_bias_score_Race_x_gender_stderr,none: string, disamb_bias_score_Race_x_SES,none: double, disamb_bias_score_Race_x_SES_stderr,none: string, disamb_bias_score_Religion,none: double, disamb_bias_score_Religion_stderr,none: string, disamb_bias_score_SES,none: double, disamb_bias_score_SES_stderr,none: string, disamb_bias_score_Sexual_orientation,none: double, disamb_bias_score_Sexual_orientation_stderr,none: string>>, judge_model: null, error: null, n_samples: int64, n_failed: null, normalized: double>
to
{'value': Value('float64'), 'eval_source': Value('string'), 'eval_date': Value('string'), 'raw': {'bbq_generate': {'name': Value('string'), 'alias': Value('string'), 'sample_len': Value('int64'), 'acc,none': Value('float64'), 'acc_stderr,none': Value('float64'), 'accuracy_amb,none': Value('float64'), 'accuracy_amb_stderr,none': Value('string'), 'accuracy_disamb,none': Value('float64'), 'accuracy_disamb_stderr,none': Value('string'), 'amb_bias_score,none': Value('float64'), 'amb_bias_score_stderr,none': Value('string'), 'disamb_bias_score,none': Value('float64'), 'disamb_bias_score_stderr,none': Value('string'), 'amb_bias_score_Age,none': Value('float64'), 'amb_bias_score_Age_stderr,none': Value('string'), 'disamb_bias_score_Age,none': Value('float64'), 'disamb_bias_score_Age_stderr,none': Value('string'), 'amb_bias_score_Disability_status,none': Value('float64'), 'amb_bias_score_Disability_status_stderr,none': Value('string'), 'amb_bias_score_Gender_identity,none': Value('float64'), 'amb_bias_score_Gender_identity_stderr,none': Value('string'), 'amb_bias_score_Nationality,none': Value('float64'), 'amb_bias_score_Nationality_stderr,none': Value('string'), 'amb_bias_score_Physical_appearance,none': Value('float64'), 'amb_bias_score_Physical_appearance_stderr,none': Value('string'), 'amb_bias_score_Race_ethnicity,none': Value('float64'), 'amb_bias_score_Race_ethnicity_stderr,none': Value('string'), 'amb_bias_score_Race_x_gender,none': Value('float64'), 'amb_bias_score_Race_x_gen
...
_score_SES_stderr,none': Value('string'), 'amb_bias_score_Sexual_orientation,none': Value('float64'), 'amb_bias_score_Sexual_orientation_stderr,none': Value('string'), 'disamb_bias_score_Disability_status,none': Value('float64'), 'disamb_bias_score_Disability_status_stderr,none': Value('string'), 'disamb_bias_score_Gender_identity,none': Value('float64'), 'disamb_bias_score_Gender_identity_stderr,none': Value('string'), 'disamb_bias_score_Nationality,none': Value('float64'), 'disamb_bias_score_Nationality_stderr,none': Value('string'), 'disamb_bias_score_Physical_appearance,none': Value('float64'), 'disamb_bias_score_Physical_appearance_stderr,none': Value('string'), 'disamb_bias_score_Race_ethnicity,none': Value('float64'), 'disamb_bias_score_Race_ethnicity_stderr,none': Value('string'), 'disamb_bias_score_Race_x_gender,none': Value('float64'), 'disamb_bias_score_Race_x_gender_stderr,none': Value('string'), 'disamb_bias_score_Race_x_SES,none': Value('float64'), 'disamb_bias_score_Race_x_SES_stderr,none': Value('string'), 'disamb_bias_score_Religion,none': Value('float64'), 'disamb_bias_score_Religion_stderr,none': Value('string'), 'disamb_bias_score_SES,none': Value('float64'), 'disamb_bias_score_SES_stderr,none': Value('string'), 'disamb_bias_score_Sexual_orientation,none': Value('float64'), 'disamb_bias_score_Sexual_orientation_stderr,none': Value('string')}}, 'judge_model': Value('null'), 'error': Value('null'), 'n_samples': Value('int64'), 'normalized': Value('float64')}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.
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