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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
format_version: int64
dataset_id: string
protocol_path: string
states: struct<m5p625: struct<chemical_potential_reduced: double, beta_chemical_potential: double, splits: s (... 2027 chars omitted)
child 0, m5p625: struct<chemical_potential_reduced: double, beta_chemical_potential: double, splits: struct<val: stru (... 194 chars omitted)
child 0, chemical_potential_reduced: double
child 1, beta_chemical_potential: double
child 2, splits: struct<val: struct<path: string, num_graphs: int64, num_particles: int64, count_mean: double, count_ (... 109 chars omitted)
child 0, val: struct<path: string, num_graphs: int64, num_particles: int64, count_mean: double, count_min: int64, (... 96 chars omitted)
child 0, path: string
child 1, num_graphs: int64
child 2, num_particles: int64
child 3, count_mean: double
child 4, count_min: int64
child 5, count_max: int64
child 6, energy_mean: double
child 7, chain_ids: list<item: int64>
child 0, item: int64
child 8, chains: list<item: string>
child 0, item: string
child 1, m4p875: struct<chemical_potential_reduced: double, beta_chemical_potential: double, splits: struct<val: stru (... 194 chars omitted)
child 0, chemical_potential_reduced: double
child 1, beta_chemical_potential: double
child 2, splits: struct<val: struct<path: string, nu
...
child 1, tunable_param: double
child 1, TrialAddRemove: struct<weight: int64, particle_type: string>
child 0, weight: int64
child 1, particle_type: string
splits: struct<val: struct<chain_ids: list<item: int64>, requested_frames_per_chain: int64, total_frames_per (... 30 chars omitted)
child 0, val: struct<chain_ids: list<item: int64>, requested_frames_per_chain: int64, total_frames_per_state: int6 (... 17 chars omitted)
child 0, chain_ids: list<item: int64>
child 0, item: int64
child 1, requested_frames_per_chain: int64
child 2, total_frames_per_state: int64
child 3, usage: string
thermodynamic_common: struct<ensemble: string, temperature_reduced: double, beta_reduced: double, cubic_box_length_reduced (... 33 chars omitted)
child 0, ensemble: string
child 1, temperature_reduced: double
child 2, beta_reduced: double
child 3, cubic_box_length_reduced: double
child 4, volume_reduced: double
engine: struct<name: string, version: string, particle_file: string>
child 0, name: string
child 1, version: string
child 2, particle_file: string
potential: struct<model: string, sigma: double, epsilon: double, cutoff: double, shifted: bool, long_range_corr (... 41 chars omitted)
child 0, model: string
child 1, sigma: double
child 2, epsilon: double
child 3, cutoff: double
child 4, shifted: bool
child 5, long_range_corrections: bool
child 6, energy_definition: string
frozen_at: timestamp[s]
to
{'protocol_version': Value('int64'), 'dataset_id': Value('string'), 'frozen_at': Value('timestamp[s]'), 'engine': {'name': Value('string'), 'version': Value('string'), 'particle_file': Value('string')}, 'thermodynamic_common': {'ensemble': Value('string'), 'temperature_reduced': Value('float64'), 'beta_reduced': Value('float64'), 'cubic_box_length_reduced': Value('float64'), 'volume_reduced': Value('float64')}, 'potential': {'model': Value('string'), 'sigma': Value('float64'), 'epsilon': Value('float64'), 'cutoff': Value('float64'), 'shifted': Value('bool'), 'long_range_corrections': Value('bool'), 'energy_definition': Value('string')}, 'states': List({'tag': Value('string'), 'chemical_potential_reduced': Value('float64'), 'beta_chemical_potential': Value('float64')}), 'splits': {'val': {'chain_ids': List(Value('int64')), 'requested_frames_per_chain': Value('int64'), 'total_frames_per_state': Value('int64'), 'usage': Value('string')}}, 'sampling_protocol': {'equilibration_trials_per_chain': Value('int64'), 'trajectory_stride_trials': Value('int64'), 'trial_mix': {'TrialTranslate': {'weight': Value('int64'), 'tunable_param': Value('float64')}, 'TrialAddRemove': {'weight': Value('int64'), 'particle_type': Value('string')}}}, 'max_particles': Value('int64'), 'raw_root': Value('string'), 'materialized_root': 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
format_version: int64
dataset_id: string
protocol_path: string
states: struct<m5p625: struct<chemical_potential_reduced: double, beta_chemical_potential: double, splits: s (... 2027 chars omitted)
child 0, m5p625: struct<chemical_potential_reduced: double, beta_chemical_potential: double, splits: struct<val: stru (... 194 chars omitted)
child 0, chemical_potential_reduced: double
child 1, beta_chemical_potential: double
child 2, splits: struct<val: struct<path: string, num_graphs: int64, num_particles: int64, count_mean: double, count_ (... 109 chars omitted)
child 0, val: struct<path: string, num_graphs: int64, num_particles: int64, count_mean: double, count_min: int64, (... 96 chars omitted)
child 0, path: string
child 1, num_graphs: int64
child 2, num_particles: int64
child 3, count_mean: double
child 4, count_min: int64
child 5, count_max: int64
child 6, energy_mean: double
child 7, chain_ids: list<item: int64>
child 0, item: int64
child 8, chains: list<item: string>
child 0, item: string
child 1, m4p875: struct<chemical_potential_reduced: double, beta_chemical_potential: double, splits: struct<val: stru (... 194 chars omitted)
child 0, chemical_potential_reduced: double
child 1, beta_chemical_potential: double
child 2, splits: struct<val: struct<path: string, nu
...
child 1, tunable_param: double
child 1, TrialAddRemove: struct<weight: int64, particle_type: string>
child 0, weight: int64
child 1, particle_type: string
splits: struct<val: struct<chain_ids: list<item: int64>, requested_frames_per_chain: int64, total_frames_per (... 30 chars omitted)
child 0, val: struct<chain_ids: list<item: int64>, requested_frames_per_chain: int64, total_frames_per_state: int6 (... 17 chars omitted)
child 0, chain_ids: list<item: int64>
child 0, item: int64
child 1, requested_frames_per_chain: int64
child 2, total_frames_per_state: int64
child 3, usage: string
thermodynamic_common: struct<ensemble: string, temperature_reduced: double, beta_reduced: double, cubic_box_length_reduced (... 33 chars omitted)
child 0, ensemble: string
child 1, temperature_reduced: double
child 2, beta_reduced: double
child 3, cubic_box_length_reduced: double
child 4, volume_reduced: double
engine: struct<name: string, version: string, particle_file: string>
child 0, name: string
child 1, version: string
child 2, particle_file: string
potential: struct<model: string, sigma: double, epsilon: double, cutoff: double, shifted: bool, long_range_corr (... 41 chars omitted)
child 0, model: string
child 1, sigma: double
child 2, epsilon: double
child 3, cutoff: double
child 4, shifted: bool
child 5, long_range_corrections: bool
child 6, energy_definition: string
frozen_at: timestamp[s]
to
{'protocol_version': Value('int64'), 'dataset_id': Value('string'), 'frozen_at': Value('timestamp[s]'), 'engine': {'name': Value('string'), 'version': Value('string'), 'particle_file': Value('string')}, 'thermodynamic_common': {'ensemble': Value('string'), 'temperature_reduced': Value('float64'), 'beta_reduced': Value('float64'), 'cubic_box_length_reduced': Value('float64'), 'volume_reduced': Value('float64')}, 'potential': {'model': Value('string'), 'sigma': Value('float64'), 'epsilon': Value('float64'), 'cutoff': Value('float64'), 'shifted': Value('bool'), 'long_range_corrections': Value('bool'), 'energy_definition': Value('string')}, 'states': List({'tag': Value('string'), 'chemical_potential_reduced': Value('float64'), 'beta_chemical_potential': Value('float64')}), 'splits': {'val': {'chain_ids': List(Value('int64')), 'requested_frames_per_chain': Value('int64'), 'total_frames_per_state': Value('int64'), 'usage': Value('string')}}, 'sampling_protocol': {'equilibration_trials_per_chain': Value('int64'), 'trajectory_stride_trials': Value('int64'), 'trial_mix': {'TrialTranslate': {'weight': Value('int64'), 'tunable_param': Value('float64')}, 'TrialAddRemove': {'weight': Value('int64'), 'particle_type': Value('string')}}}, 'max_particles': Value('int64'), 'raw_root': Value('string'), 'materialized_root': Value('string')}
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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