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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
basis_name: string
conventions: struct<functions: string, ao_order: string, sign_vs_pyscf: string, normalisation: string, ecp: strin (... 2 chars omitted)
child 0, functions: string
child 1, ao_order: string
child 2, sign_vs_pyscf: string
child 3, normalisation: string
child 4, ecp: string
elements: struct<1: struct<symbol: string, Z: int64, Z_eff: double, n_core: int64, n_ao: int64, shells: list<i (... 27997 chars omitted)
child 0, 1: struct<symbol: string, Z: int64, Z_eff: double, n_core: int64, n_ao: int64, shells: list<item: strin (... 168 chars omitted)
child 0, symbol: string
child 1, Z: int64
child 2, Z_eff: double
child 3, n_core: int64
child 4, n_ao: int64
child 5, shells: list<item: string>
child 0, item: string
child 6, basis: list<item: struct<Coefficients: list<item: double>, Exponents: list<item: double>, Shell: string>>
child 0, item: struct<Coefficients: list<item: double>, Exponents: list<item: double>, Shell: string>
child 0, Coefficients: list<item: double>
child 0, item: double
child 1, Exponents: list<item: double>
child 0, item: double
child 2, Shell: string
child 7, ecp: null
child 8, n_sources: int64
child 9, n_ecp_blocks_checked: int64
child 1, 2: struct<symbol: string, Z: int64, Z_eff: double, n_core: int64, n_ao: int64, shells: list<item: strin (... 168 chars omitted)
child
...
ring
child 7, ecp: struct<N_core: int64, lmax: string, potential: list<item: struct<Shell: string, ecp: list<item: list (... 18 chars omitted)
child 0, N_core: int64
child 1, lmax: string
child 2, potential: list<item: struct<Shell: string, ecp: list<item: list<item: double>>>>
child 0, item: struct<Shell: string, ecp: list<item: list<item: double>>>
child 0, Shell: string
child 1, ecp: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 8, n_sources: int64
child 9, n_ecp_blocks_checked: int64
problems: list<item: null>
child 0, item: null
eps_err_max: double
totals: struct<n: int64, found: int64, ok: int64, fock_checked: int64, bytes_cmo: int64, fail_gbw_found: int (... 246 chars omitted)
child 0, n: int64
child 1, found: int64
child 2, ok: int64
child 3, fock_checked: int64
child 4, bytes_cmo: int64
child 5, fail_gbw_found: int64
child 6, fail_nbas_match: int64
child 7, fail_nspin_match: int64
child 8, fail_nelec_match: int64
child 9, fail_spin_match: int64
child 10, fail_eps_checked: int64
child 11, fail_eps_match: int64
child 12, fail_occ_contiguous: int64
child 13, fail_fock_checked: int64
child 14, fail_fock_match: int64
child 15, fail_mo_ok: int64
dtype: string
fc_offdiag_max: double
shard_failures: list<item: null>
child 0, item: null
wall_s: double
to
{'totals': {'n': Value('int64'), 'found': Value('int64'), 'ok': Value('int64'), 'fock_checked': Value('int64'), 'bytes_cmo': Value('int64'), 'fail_gbw_found': Value('int64'), 'fail_nbas_match': Value('int64'), 'fail_nspin_match': Value('int64'), 'fail_nelec_match': Value('int64'), 'fail_spin_match': Value('int64'), 'fail_eps_checked': Value('int64'), 'fail_eps_match': Value('int64'), 'fail_occ_contiguous': Value('int64'), 'fail_fock_checked': Value('int64'), 'fail_fock_match': Value('int64'), 'fail_mo_ok': Value('int64')}, 'dtype': Value('string'), 'eps_err_max': Value('float64'), 'fc_offdiag_max': Value('float64'), 'wall_s': Value('float64'), 'shard_failures': 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
basis_name: string
conventions: struct<functions: string, ao_order: string, sign_vs_pyscf: string, normalisation: string, ecp: strin (... 2 chars omitted)
child 0, functions: string
child 1, ao_order: string
child 2, sign_vs_pyscf: string
child 3, normalisation: string
child 4, ecp: string
elements: struct<1: struct<symbol: string, Z: int64, Z_eff: double, n_core: int64, n_ao: int64, shells: list<i (... 27997 chars omitted)
child 0, 1: struct<symbol: string, Z: int64, Z_eff: double, n_core: int64, n_ao: int64, shells: list<item: strin (... 168 chars omitted)
child 0, symbol: string
child 1, Z: int64
child 2, Z_eff: double
child 3, n_core: int64
child 4, n_ao: int64
child 5, shells: list<item: string>
child 0, item: string
child 6, basis: list<item: struct<Coefficients: list<item: double>, Exponents: list<item: double>, Shell: string>>
child 0, item: struct<Coefficients: list<item: double>, Exponents: list<item: double>, Shell: string>
child 0, Coefficients: list<item: double>
child 0, item: double
child 1, Exponents: list<item: double>
child 0, item: double
child 2, Shell: string
child 7, ecp: null
child 8, n_sources: int64
child 9, n_ecp_blocks_checked: int64
child 1, 2: struct<symbol: string, Z: int64, Z_eff: double, n_core: int64, n_ao: int64, shells: list<item: strin (... 168 chars omitted)
child
...
ring
child 7, ecp: struct<N_core: int64, lmax: string, potential: list<item: struct<Shell: string, ecp: list<item: list (... 18 chars omitted)
child 0, N_core: int64
child 1, lmax: string
child 2, potential: list<item: struct<Shell: string, ecp: list<item: list<item: double>>>>
child 0, item: struct<Shell: string, ecp: list<item: list<item: double>>>
child 0, Shell: string
child 1, ecp: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 8, n_sources: int64
child 9, n_ecp_blocks_checked: int64
problems: list<item: null>
child 0, item: null
eps_err_max: double
totals: struct<n: int64, found: int64, ok: int64, fock_checked: int64, bytes_cmo: int64, fail_gbw_found: int (... 246 chars omitted)
child 0, n: int64
child 1, found: int64
child 2, ok: int64
child 3, fock_checked: int64
child 4, bytes_cmo: int64
child 5, fail_gbw_found: int64
child 6, fail_nbas_match: int64
child 7, fail_nspin_match: int64
child 8, fail_nelec_match: int64
child 9, fail_spin_match: int64
child 10, fail_eps_checked: int64
child 11, fail_eps_match: int64
child 12, fail_occ_contiguous: int64
child 13, fail_fock_checked: int64
child 14, fail_fock_match: int64
child 15, fail_mo_ok: int64
dtype: string
fc_offdiag_max: double
shard_failures: list<item: null>
child 0, item: null
wall_s: double
to
{'totals': {'n': Value('int64'), 'found': Value('int64'), 'ok': Value('int64'), 'fock_checked': Value('int64'), 'bytes_cmo': Value('int64'), 'fail_gbw_found': Value('int64'), 'fail_nbas_match': Value('int64'), 'fail_nspin_match': Value('int64'), 'fail_nelec_match': Value('int64'), 'fail_spin_match': Value('int64'), 'fail_eps_checked': Value('int64'), 'fail_eps_match': Value('int64'), 'fail_occ_contiguous': Value('int64'), 'fail_fock_checked': Value('int64'), 'fail_fock_match': Value('int64'), 'fail_mo_ok': Value('int64')}, 'dtype': Value('string'), 'eps_err_max': Value('float64'), 'fc_offdiag_max': Value('float64'), 'wall_s': Value('float64'), 'shard_failures': 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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