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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
bayes_floor: double
steps: int64
checks: struct<isotropic: struct<claim4_risk_transfer_supported: bool, claim5_bayes_approach_supported: bool (... 382 chars omitted)
child 0, isotropic: struct<claim4_risk_transfer_supported: bool, claim5_bayes_approach_supported: bool, softmax_risks: l (... 126 chars omitted)
child 0, claim4_risk_transfer_supported: bool
child 1, claim5_bayes_approach_supported: bool
child 2, softmax_risks: list<item: double>
child 0, item: double
child 3, soft_minus_lin: list<item: double>
child 0, item: double
child 4, gaps_to_bayes: list<item: double>
child 0, item: double
child 5, param_distances: list<item: double>
child 0, item: double
child 1, KCM 0.5: struct<claim4_risk_transfer_supported: bool, claim5_bayes_approach_supported: bool, softmax_risks: l (... 126 chars omitted)
child 0, claim4_risk_transfer_supported: bool
child 1, claim5_bayes_approach_supported: bool
child 2, softmax_risks: list<item: double>
child 0, item: double
child 3, soft_minus_lin: list<item: double>
child 0, item: double
child 4, gaps_to_bayes: list<item: double>
child 0, item: double
child 5, param_distances: list<item: double>
child 0, item: double
table: list<item: struct<L: int64, covariance: string, softmax_risk: double, linear_risk: double, bayes_flo (... 98 chars omitted)
child 0, item: struct<L: int64, covariance: string, softmax_risk: double, linear_risk: double, bayes_floor: double, (... 86 chars omitted)
child 0, L: int64
child 1, covariance: string
child 2, softmax_risk: double
child 3, linear_risk: double
child 4, bayes_floor: double
child 5, softmax_gap_to_bayes: double
child 6, linear_gap_to_bayes: double
child 7, param_l2_distance: double
results: list<item: struct<L: int64, covariance: string, softmax_risk: double, linear_risk: double, bayes_flo (... 229 chars omitted)
child 0, item: struct<L: int64, covariance: string, softmax_risk: double, linear_risk: double, bayes_floor: double, (... 217 chars omitted)
child 0, L: int64
child 1, covariance: string
child 2, softmax_risk: double
child 3, linear_risk: double
child 4, bayes_floor: double
child 5, softmax_gap_to_bayes: double
child 6, linear_gap_to_bayes: double
child 7, param_l2_distance: double
child 8, softmax_curve: list<item: struct<step: int64, icl_risk: double>>
child 0, item: struct<step: int64, icl_risk: double>
child 0, step: int64
child 1, icl_risk: double
child 9, linear_curve: list<item: struct<step: int64, icl_risk: double>>
child 0, item: struct<step: int64, icl_risk: double>
child 0, step: int64
child 1, icl_risk: double
to
{'checks': {'isotropic': {'claim4_risk_transfer_supported': Value('bool'), 'claim5_bayes_approach_supported': Value('bool'), 'softmax_risks': List(Value('float64')), 'soft_minus_lin': List(Value('float64')), 'gaps_to_bayes': List(Value('float64')), 'param_distances': List(Value('float64'))}, 'KCM 0.5': {'claim4_risk_transfer_supported': Value('bool'), 'claim5_bayes_approach_supported': Value('bool'), 'softmax_risks': List(Value('float64')), 'soft_minus_lin': List(Value('float64')), 'gaps_to_bayes': List(Value('float64')), 'param_distances': List(Value('float64'))}}, 'results': List({'L': Value('int64'), 'covariance': Value('string'), 'softmax_risk': Value('float64'), 'linear_risk': Value('float64'), 'bayes_floor': Value('float64'), 'softmax_gap_to_bayes': Value('float64'), 'linear_gap_to_bayes': Value('float64'), 'param_l2_distance': Value('float64'), 'softmax_curve': List({'step': Value('int64'), 'icl_risk': Value('float64')}), 'linear_curve': List({'step': Value('int64'), 'icl_risk': Value('float64')})}), 'bayes_floor': Value('float64'), 'steps': Value('int64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
bayes_floor: double
steps: int64
checks: struct<isotropic: struct<claim4_risk_transfer_supported: bool, claim5_bayes_approach_supported: bool (... 382 chars omitted)
child 0, isotropic: struct<claim4_risk_transfer_supported: bool, claim5_bayes_approach_supported: bool, softmax_risks: l (... 126 chars omitted)
child 0, claim4_risk_transfer_supported: bool
child 1, claim5_bayes_approach_supported: bool
child 2, softmax_risks: list<item: double>
child 0, item: double
child 3, soft_minus_lin: list<item: double>
child 0, item: double
child 4, gaps_to_bayes: list<item: double>
child 0, item: double
child 5, param_distances: list<item: double>
child 0, item: double
child 1, KCM 0.5: struct<claim4_risk_transfer_supported: bool, claim5_bayes_approach_supported: bool, softmax_risks: l (... 126 chars omitted)
child 0, claim4_risk_transfer_supported: bool
child 1, claim5_bayes_approach_supported: bool
child 2, softmax_risks: list<item: double>
child 0, item: double
child 3, soft_minus_lin: list<item: double>
child 0, item: double
child 4, gaps_to_bayes: list<item: double>
child 0, item: double
child 5, param_distances: list<item: double>
child 0, item: double
table: list<item: struct<L: int64, covariance: string, softmax_risk: double, linear_risk: double, bayes_flo (... 98 chars omitted)
child 0, item: struct<L: int64, covariance: string, softmax_risk: double, linear_risk: double, bayes_floor: double, (... 86 chars omitted)
child 0, L: int64
child 1, covariance: string
child 2, softmax_risk: double
child 3, linear_risk: double
child 4, bayes_floor: double
child 5, softmax_gap_to_bayes: double
child 6, linear_gap_to_bayes: double
child 7, param_l2_distance: double
results: list<item: struct<L: int64, covariance: string, softmax_risk: double, linear_risk: double, bayes_flo (... 229 chars omitted)
child 0, item: struct<L: int64, covariance: string, softmax_risk: double, linear_risk: double, bayes_floor: double, (... 217 chars omitted)
child 0, L: int64
child 1, covariance: string
child 2, softmax_risk: double
child 3, linear_risk: double
child 4, bayes_floor: double
child 5, softmax_gap_to_bayes: double
child 6, linear_gap_to_bayes: double
child 7, param_l2_distance: double
child 8, softmax_curve: list<item: struct<step: int64, icl_risk: double>>
child 0, item: struct<step: int64, icl_risk: double>
child 0, step: int64
child 1, icl_risk: double
child 9, linear_curve: list<item: struct<step: int64, icl_risk: double>>
child 0, item: struct<step: int64, icl_risk: double>
child 0, step: int64
child 1, icl_risk: double
to
{'checks': {'isotropic': {'claim4_risk_transfer_supported': Value('bool'), 'claim5_bayes_approach_supported': Value('bool'), 'softmax_risks': List(Value('float64')), 'soft_minus_lin': List(Value('float64')), 'gaps_to_bayes': List(Value('float64')), 'param_distances': List(Value('float64'))}, 'KCM 0.5': {'claim4_risk_transfer_supported': Value('bool'), 'claim5_bayes_approach_supported': Value('bool'), 'softmax_risks': List(Value('float64')), 'soft_minus_lin': List(Value('float64')), 'gaps_to_bayes': List(Value('float64')), 'param_distances': List(Value('float64'))}}, 'results': List({'L': Value('int64'), 'covariance': Value('string'), 'softmax_risk': Value('float64'), 'linear_risk': Value('float64'), 'bayes_floor': Value('float64'), 'softmax_gap_to_bayes': Value('float64'), 'linear_gap_to_bayes': Value('float64'), 'param_l2_distance': Value('float64'), 'softmax_curve': List({'step': Value('int64'), 'icl_risk': Value('float64')}), 'linear_curve': List({'step': Value('int64'), 'icl_risk': Value('float64')})}), 'bayes_floor': Value('float64'), 'steps': Value('int64')}
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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