Dataset Viewer
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
model_ligands: list<item: string>
child 0, item: string
reference_ligands: list<item: string>
child 0, item: string
lddt_pli: struct<assigned_scores: list<item: struct<score: double, coverage: double, lddt_pli_n_contacts: int6 (... 204 chars omitted)
child 0, assigned_scores: list<item: struct<score: double, coverage: double, lddt_pli_n_contacts: int64, model_ligand: string, (... 91 chars omitted)
child 0, item: struct<score: double, coverage: double, lddt_pli_n_contacts: int64, model_ligand: string, reference_ (... 79 chars omitted)
child 0, score: double
child 1, coverage: double
child 2, lddt_pli_n_contacts: int64
child 3, model_ligand: string
child 4, reference_ligand: string
child 5, bs_ref_res: list<item: string>
child 0, item: string
child 6, bs_mdl_res: list<item: string>
child 0, item: string
child 1, model_ligand_unassigned_reason: struct<>
child 2, reference_ligand_unassigned_reason: struct<>
rmsd: struct<assigned_scores: list<item: struct<score: double, coverage: double, lddt_lp: double, bb_rmsd: (... 374 chars omitted)
child 0, assigned_scores: list<item: struct<score: double, coverage: double, lddt_lp: double, bb_rmsd: double, model_ligand: s (... 261 chars omitted)
child 0, item: struct<score: double, coverage: double, lddt_lp: double, bb_rmsd: double, model_ligand: string, refe (... 249 chars omitted)
child 0, score: double
...
ist<item: null>
child 0, item: null
model_clashes: list<item: null>
child 0, item: null
dockq_wave_full: double
chem_mapping: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
model: string
reference_chains: list<item: string>
child 0, item: string
nmdl: list<item: null>
child 0, item: null
inconsistent_residues: list<item: null>
child 0, item: null
dockq_ave_full: double
residue_number_alignment: bool
model_chains: list<item: string>
child 0, item: string
dockq: list<item: null>
child 0, item: null
model_biounit: null
fault_tolerant: bool
usalign_mapping: struct<A: string>
child 0, A: string
min_nuc_length: int64
lddt: double
reference_bad_bonds: list<item: null>
child 0, item: null
oligo_gdtts: double
dockq_reference_interfaces: list<item: null>
child 0, item: null
fnat: list<item: null>
child 0, item: null
tm_score: double
lddt_add_mdl_contacts: bool
chain_mapping: struct<A: string>
child 0, A: string
lddt_no_stereochecks: bool
irmsd: list<item: null>
child 0, item: null
oligo_gdtha: double
aln: list<item: string>
child 0, item: string
chem_groups: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
usalign_exec: null
min_pep_length: int64
nnat: list<item: null>
child 0, item: null
transform: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
reference_clashes: list<item: null>
child 0, item: null
cad_exec: null
to
{'reference_chains': List(Value('string')), 'model_chains': List(Value('string')), 'chem_groups': List(List(Value('string'))), 'chem_mapping': List(List(Value('string'))), 'chain_mapping': {'A': Value('string')}, 'aln': List(Value('string')), 'inconsistent_residues': List(Value('null')), 'lddt': Value('float64'), 'model_clashes': List(Value('null')), 'model_bad_bonds': List(Value('null')), 'model_bad_angles': List(Value('null')), 'reference_clashes': List(Value('null')), 'reference_bad_bonds': List(Value('null')), 'reference_bad_angles': List(Value('null')), 'dockq_reference_interfaces': List(Value('null')), 'dockq_interfaces': List(Value('null')), 'dockq': List(Value('null')), 'fnat': List(Value('null')), 'fnonnat': List(Value('null')), 'irmsd': List(Value('null')), 'lrmsd': List(Value('null')), 'nnat': List(Value('null')), 'nmdl': List(Value('null')), 'dockq_ave': Value('float64'), 'dockq_wave': Value('float64'), 'dockq_ave_full': Value('float64'), 'dockq_wave_full': Value('float64'), 'oligo_gdtts': Value('float64'), 'oligo_gdtha': Value('float64'), 'rmsd': Value('float64'), 'transform': List(List(Value('float64'))), 'tm_score': Value('float64'), 'usalign_mapping': {'A': Value('string')}, 'model': Value('string'), 'reference': Value('string'), 'fault_tolerant': Value('bool'), 'model_biounit': Value('null'), 'reference_biounit': Value('null'), 'residue_number_alignment': Value('bool'), 'enforce_consistency': Value('bool'), 'cad_exec': Value('null'), 'usalign_exec': Value('null'), 'lddt_no_stereochecks': Value('bool'), 'min_pep_length': Value('int64'), 'min_nuc_length': Value('int64'), 'lddt_add_mdl_contacts': Value('bool'), 'dockq_capri_peptide': Value('bool'), 'status': Value('string')}
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
model_ligands: list<item: string>
child 0, item: string
reference_ligands: list<item: string>
child 0, item: string
lddt_pli: struct<assigned_scores: list<item: struct<score: double, coverage: double, lddt_pli_n_contacts: int6 (... 204 chars omitted)
child 0, assigned_scores: list<item: struct<score: double, coverage: double, lddt_pli_n_contacts: int64, model_ligand: string, (... 91 chars omitted)
child 0, item: struct<score: double, coverage: double, lddt_pli_n_contacts: int64, model_ligand: string, reference_ (... 79 chars omitted)
child 0, score: double
child 1, coverage: double
child 2, lddt_pli_n_contacts: int64
child 3, model_ligand: string
child 4, reference_ligand: string
child 5, bs_ref_res: list<item: string>
child 0, item: string
child 6, bs_mdl_res: list<item: string>
child 0, item: string
child 1, model_ligand_unassigned_reason: struct<>
child 2, reference_ligand_unassigned_reason: struct<>
rmsd: struct<assigned_scores: list<item: struct<score: double, coverage: double, lddt_lp: double, bb_rmsd: (... 374 chars omitted)
child 0, assigned_scores: list<item: struct<score: double, coverage: double, lddt_lp: double, bb_rmsd: double, model_ligand: s (... 261 chars omitted)
child 0, item: struct<score: double, coverage: double, lddt_lp: double, bb_rmsd: double, model_ligand: string, refe (... 249 chars omitted)
child 0, score: double
...
ist<item: null>
child 0, item: null
model_clashes: list<item: null>
child 0, item: null
dockq_wave_full: double
chem_mapping: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
model: string
reference_chains: list<item: string>
child 0, item: string
nmdl: list<item: null>
child 0, item: null
inconsistent_residues: list<item: null>
child 0, item: null
dockq_ave_full: double
residue_number_alignment: bool
model_chains: list<item: string>
child 0, item: string
dockq: list<item: null>
child 0, item: null
model_biounit: null
fault_tolerant: bool
usalign_mapping: struct<A: string>
child 0, A: string
min_nuc_length: int64
lddt: double
reference_bad_bonds: list<item: null>
child 0, item: null
oligo_gdtts: double
dockq_reference_interfaces: list<item: null>
child 0, item: null
fnat: list<item: null>
child 0, item: null
tm_score: double
lddt_add_mdl_contacts: bool
chain_mapping: struct<A: string>
child 0, A: string
lddt_no_stereochecks: bool
irmsd: list<item: null>
child 0, item: null
oligo_gdtha: double
aln: list<item: string>
child 0, item: string
chem_groups: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
usalign_exec: null
min_pep_length: int64
nnat: list<item: null>
child 0, item: null
transform: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
reference_clashes: list<item: null>
child 0, item: null
cad_exec: null
to
{'reference_chains': List(Value('string')), 'model_chains': List(Value('string')), 'chem_groups': List(List(Value('string'))), 'chem_mapping': List(List(Value('string'))), 'chain_mapping': {'A': Value('string')}, 'aln': List(Value('string')), 'inconsistent_residues': List(Value('null')), 'lddt': Value('float64'), 'model_clashes': List(Value('null')), 'model_bad_bonds': List(Value('null')), 'model_bad_angles': List(Value('null')), 'reference_clashes': List(Value('null')), 'reference_bad_bonds': List(Value('null')), 'reference_bad_angles': List(Value('null')), 'dockq_reference_interfaces': List(Value('null')), 'dockq_interfaces': List(Value('null')), 'dockq': List(Value('null')), 'fnat': List(Value('null')), 'fnonnat': List(Value('null')), 'irmsd': List(Value('null')), 'lrmsd': List(Value('null')), 'nnat': List(Value('null')), 'nmdl': List(Value('null')), 'dockq_ave': Value('float64'), 'dockq_wave': Value('float64'), 'dockq_ave_full': Value('float64'), 'dockq_wave_full': Value('float64'), 'oligo_gdtts': Value('float64'), 'oligo_gdtha': Value('float64'), 'rmsd': Value('float64'), 'transform': List(List(Value('float64'))), 'tm_score': Value('float64'), 'usalign_mapping': {'A': Value('string')}, 'model': Value('string'), 'reference': Value('string'), 'fault_tolerant': Value('bool'), 'model_biounit': Value('null'), 'reference_biounit': Value('null'), 'residue_number_alignment': Value('bool'), 'enforce_consistency': Value('bool'), 'cad_exec': Value('null'), 'usalign_exec': Value('null'), 'lddt_no_stereochecks': Value('bool'), 'min_pep_length': Value('int64'), 'min_nuc_length': Value('int64'), 'lddt_add_mdl_contacts': Value('bool'), 'dockq_capri_peptide': Value('bool'), 'status': 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.
No dataset card yet
- Downloads last month
- 54