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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
schema_version: int64
status: string
created_utc: string
root: string
environment: struct<conda: string, python: string, platform: string, numpy: string>
child 0, conda: string
child 1, python: string
child 2, platform: string
child 3, numpy: string
global_split_counts: struct<train: int64, validation: int64, heldout: int64>
child 0, train: int64
child 1, validation: int64
child 2, heldout: int64
regimes: struct<steady: struct<pod: struct<status: string, velocity_shape: list<item: int64>, pressure_shape: (... 2612 chars omitted)
child 0, steady: struct<pod: struct<status: string, velocity_shape: list<item: int64>, pressure_shape: list<item: int (... 792 chars omitted)
child 0, pod: struct<status: string, velocity_shape: list<item: int64>, pressure_shape: list<item: int64>, coeffic (... 444 chars omitted)
child 0, status: string
child 1, velocity_shape: list<item: int64>
child 0, item: int64
child 2, pressure_shape: list<item: int64>
child 0, item: int64
child 3, coefficient_rows: int64
child 4, Re_counts: struct<train: int64, validation: int64, heldout: int64>
child 0, train: int64
child 1, validation: int64
child 2, heldout: int64
child 5, weighted_orthogonality_max_abs: struct<velocity: double, pressure: double>
child 0, velocity: double
child 1, pressure: double
child 6, pressure_gauge_
...
child 1, sha256: string
child 47, steady/pod_artifact_manifest_steady.json: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 48, steady/pod_projection_diagnostics_steady.json: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 49, steady/pressure_pod_steady.npz: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 50, steady/pressure_poisson_surrogate_steady.md: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 51, steady/pressure_poisson_surrogate_steady.npz: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 52, steady/projection_snapshots_pressure_steady.csv: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 53, steady/projection_snapshots_velocity_steady.csv: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 54, steady/velocity_pod_steady.npz: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 55, steady/velocity_rom_steady.md: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 56, steady/velocity_rom_steady.npz: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
to
{'schema_version': Value('int64'), 'regimes': {'steady': {'artifact': Value('string'), 'aggregate': {'train': {'fixed_point_velocity_r32_relative_l2': Value('float64'), 'fixed_point_velocity_r80_relative_l2': Value('float64'), 'fixed_point_pressure_r32_relative_l2': Value('float64'), 'fixed_point_pressure_r80_relative_l2': Value('float64')}, 'validation': {'fixed_point_velocity_r32_relative_l2': Value('float64'), 'fixed_point_velocity_r80_relative_l2': Value('float64'), 'fixed_point_pressure_r32_relative_l2': Value('float64'), 'fixed_point_pressure_r80_relative_l2': Value('float64')}, 'heldout': {'fixed_point_velocity_r32_relative_l2': Value('float64'), 'fixed_point_velocity_r80_relative_l2': Value('float64'), 'fixed_point_pressure_r32_relative_l2': Value('float64'), 'fixed_point_pressure_r80_relative_l2': Value('float64')}}}, 'hopf': {'artifact': Value('string'), 'aggregate': {'train': {'r32_amplitude_relative_error_mean': Value('float64'), 'r32_frequency_relative_error_mean': Value('float64'), 'r32_phase_rms_mean': Value('float64'), 'r32_phase_end_drift_mean': Value('float64'), 'r80_amplitude_relative_error_mean': Value('float64'), 'r80_frequency_relative_error_mean': Value('float64'), 'r80_phase_rms_mean': Value('float64'), 'r80_phase_end_drift_mean': Value('float64')}, 'validation': {'r32_amplitude_relative_error_mean': Value('float64'), 'r32_frequency_relative_error_mean': Value('float64'), 'r32_phase_rms_mean': Value('float64'), 'r32_phase_end_drift_mean': Value('float6
...
t_mean': Value('float64'), 'r80_amplitude_relative_error_mean': Value('float64'), 'r80_frequency_relative_error_mean': Value('float64'), 'r80_phase_rms_mean': Value('float64'), 'r80_phase_end_drift_mean': Value('float64')}}}, 'periodic': {'artifact': Value('string'), 'aggregate': {'train': {'r32_amplitude_relative_error_mean': Value('float64'), 'r32_frequency_relative_error_mean': Value('float64'), 'r32_phase_rms_mean': Value('float64'), 'r32_phase_end_drift_mean': Value('float64'), 'r80_amplitude_relative_error_mean': Value('float64'), 'r80_frequency_relative_error_mean': Value('float64'), 'r80_phase_rms_mean': Value('float64'), 'r80_phase_end_drift_mean': Value('float64')}, 'validation': {'r32_amplitude_relative_error_mean': Value('float64'), 'r32_frequency_relative_error_mean': Value('float64'), 'r32_phase_rms_mean': Value('float64'), 'r32_phase_end_drift_mean': Value('float64'), 'r80_amplitude_relative_error_mean': Value('float64'), 'r80_frequency_relative_error_mean': Value('float64'), 'r80_phase_rms_mean': Value('float64'), 'r80_phase_end_drift_mean': Value('float64')}, 'heldout': {'r32_amplitude_relative_error_mean': Value('float64'), 'r32_frequency_relative_error_mean': Value('float64'), 'r32_phase_rms_mean': Value('float64'), 'r32_phase_end_drift_mean': Value('float64'), 'r80_amplitude_relative_error_mean': Value('float64'), 'r80_frequency_relative_error_mean': Value('float64'), 'r80_phase_rms_mean': Value('float64'), 'r80_phase_end_drift_mean': Value('float64')}}}}}
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
schema_version: int64
status: string
created_utc: string
root: string
environment: struct<conda: string, python: string, platform: string, numpy: string>
child 0, conda: string
child 1, python: string
child 2, platform: string
child 3, numpy: string
global_split_counts: struct<train: int64, validation: int64, heldout: int64>
child 0, train: int64
child 1, validation: int64
child 2, heldout: int64
regimes: struct<steady: struct<pod: struct<status: string, velocity_shape: list<item: int64>, pressure_shape: (... 2612 chars omitted)
child 0, steady: struct<pod: struct<status: string, velocity_shape: list<item: int64>, pressure_shape: list<item: int (... 792 chars omitted)
child 0, pod: struct<status: string, velocity_shape: list<item: int64>, pressure_shape: list<item: int64>, coeffic (... 444 chars omitted)
child 0, status: string
child 1, velocity_shape: list<item: int64>
child 0, item: int64
child 2, pressure_shape: list<item: int64>
child 0, item: int64
child 3, coefficient_rows: int64
child 4, Re_counts: struct<train: int64, validation: int64, heldout: int64>
child 0, train: int64
child 1, validation: int64
child 2, heldout: int64
child 5, weighted_orthogonality_max_abs: struct<velocity: double, pressure: double>
child 0, velocity: double
child 1, pressure: double
child 6, pressure_gauge_
...
child 1, sha256: string
child 47, steady/pod_artifact_manifest_steady.json: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 48, steady/pod_projection_diagnostics_steady.json: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 49, steady/pressure_pod_steady.npz: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 50, steady/pressure_poisson_surrogate_steady.md: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 51, steady/pressure_poisson_surrogate_steady.npz: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 52, steady/projection_snapshots_pressure_steady.csv: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 53, steady/projection_snapshots_velocity_steady.csv: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 54, steady/velocity_pod_steady.npz: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 55, steady/velocity_rom_steady.md: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
child 56, steady/velocity_rom_steady.npz: struct<bytes: int64, sha256: string>
child 0, bytes: int64
child 1, sha256: string
to
{'schema_version': Value('int64'), 'regimes': {'steady': {'artifact': Value('string'), 'aggregate': {'train': {'fixed_point_velocity_r32_relative_l2': Value('float64'), 'fixed_point_velocity_r80_relative_l2': Value('float64'), 'fixed_point_pressure_r32_relative_l2': Value('float64'), 'fixed_point_pressure_r80_relative_l2': Value('float64')}, 'validation': {'fixed_point_velocity_r32_relative_l2': Value('float64'), 'fixed_point_velocity_r80_relative_l2': Value('float64'), 'fixed_point_pressure_r32_relative_l2': Value('float64'), 'fixed_point_pressure_r80_relative_l2': Value('float64')}, 'heldout': {'fixed_point_velocity_r32_relative_l2': Value('float64'), 'fixed_point_velocity_r80_relative_l2': Value('float64'), 'fixed_point_pressure_r32_relative_l2': Value('float64'), 'fixed_point_pressure_r80_relative_l2': Value('float64')}}}, 'hopf': {'artifact': Value('string'), 'aggregate': {'train': {'r32_amplitude_relative_error_mean': Value('float64'), 'r32_frequency_relative_error_mean': Value('float64'), 'r32_phase_rms_mean': Value('float64'), 'r32_phase_end_drift_mean': Value('float64'), 'r80_amplitude_relative_error_mean': Value('float64'), 'r80_frequency_relative_error_mean': Value('float64'), 'r80_phase_rms_mean': Value('float64'), 'r80_phase_end_drift_mean': Value('float64')}, 'validation': {'r32_amplitude_relative_error_mean': Value('float64'), 'r32_frequency_relative_error_mean': Value('float64'), 'r32_phase_rms_mean': Value('float64'), 'r32_phase_end_drift_mean': Value('float6
...
t_mean': Value('float64'), 'r80_amplitude_relative_error_mean': Value('float64'), 'r80_frequency_relative_error_mean': Value('float64'), 'r80_phase_rms_mean': Value('float64'), 'r80_phase_end_drift_mean': Value('float64')}}}, 'periodic': {'artifact': Value('string'), 'aggregate': {'train': {'r32_amplitude_relative_error_mean': Value('float64'), 'r32_frequency_relative_error_mean': Value('float64'), 'r32_phase_rms_mean': Value('float64'), 'r32_phase_end_drift_mean': Value('float64'), 'r80_amplitude_relative_error_mean': Value('float64'), 'r80_frequency_relative_error_mean': Value('float64'), 'r80_phase_rms_mean': Value('float64'), 'r80_phase_end_drift_mean': Value('float64')}, 'validation': {'r32_amplitude_relative_error_mean': Value('float64'), 'r32_frequency_relative_error_mean': Value('float64'), 'r32_phase_rms_mean': Value('float64'), 'r32_phase_end_drift_mean': Value('float64'), 'r80_amplitude_relative_error_mean': Value('float64'), 'r80_frequency_relative_error_mean': Value('float64'), 'r80_phase_rms_mean': Value('float64'), 'r80_phase_end_drift_mean': Value('float64')}, 'heldout': {'r32_amplitude_relative_error_mean': Value('float64'), 'r32_frequency_relative_error_mean': Value('float64'), 'r32_phase_rms_mean': Value('float64'), 'r32_phase_end_drift_mean': Value('float64'), 'r80_amplitude_relative_error_mean': Value('float64'), 'r80_frequency_relative_error_mean': Value('float64'), 'r80_phase_rms_mean': Value('float64'), 'r80_phase_end_drift_mean': Value('float64')}}}}}
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