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
records: list<item: struct<id: string, structure: struct<resolution: null, method: null, deposited: null, rel (... 456 chars omitted)
child 0, item: struct<id: string, structure: struct<resolution: null, method: null, deposited: null, released: null (... 444 chars omitted)
child 0, id: string
child 1, structure: struct<resolution: null, method: null, deposited: null, released: null, revised: null, num_chains: i (... 56 chars omitted)
child 0, resolution: null
child 1, method: null
child 2, deposited: null
child 3, released: null
child 4, revised: null
child 5, num_chains: int64
child 6, num_interfaces: null
child 7, pH: null
child 8, temperature: null
child 2, chains: list<item: struct<chain_id: int64, chain_name: string, mol_type: int64, cluster_id: int64, msa_id: i (... 58 chars omitted)
child 0, item: struct<chain_id: int64, chain_name: string, mol_type: int64, cluster_id: int64, msa_id: int64, num_r (... 46 chars omitted)
child 0, chain_id: int64
child 1, chain_name: string
child 2, mol_type: int64
child 3, cluster_id: int64
child 4, msa_id: int64
child 5, num_residues: int64
child 6, valid: bool
child 7, entity_id: int64
child 3, interfaces: list<item: null>
child 0, item: null
child 4, inference_options: struct<pocket_constraints: list<item: null>, contact_constraints: list<item: null>>
child 0, pocket_constraints: list<item: null>
child 0, item: null
child 1, contact_constraints: list<item: null>
child 0, item: null
child 5, templates: list<item: null>
child 0, item: null
child 6, md: null
child 7, affinity: null
complex_ipde: double
chains_ptm: struct<0: double, 1: double>
child 0, 0: double
child 1, 1: double
complex_pde: double
confidence_score: double
complex_plddt: double
pair_chains_iptm: struct<0: struct<0: double, 1: double>, 1: struct<0: double, 1: double>>
child 0, 0: struct<0: double, 1: double>
child 0, 0: double
child 1, 1: double
child 1, 1: struct<0: double, 1: double>
child 0, 0: double
child 1, 1: double
protein_iptm: double
complex_iplddt: double
ligand_iptm: double
iptm: double
ptm: double
to
{'confidence_score': Value('float64'), 'ptm': Value('float64'), 'iptm': Value('float64'), 'ligand_iptm': Value('float64'), 'protein_iptm': Value('float64'), 'complex_plddt': Value('float64'), 'complex_iplddt': Value('float64'), 'complex_pde': Value('float64'), 'complex_ipde': Value('float64'), 'chains_ptm': {'0': Value('float64'), '1': Value('float64')}, 'pair_chains_iptm': {'0': {'0': Value('float64'), '1': Value('float64')}, '1': {'0': Value('float64'), '1': Value('float64')}}}
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
records: list<item: struct<id: string, structure: struct<resolution: null, method: null, deposited: null, rel (... 456 chars omitted)
child 0, item: struct<id: string, structure: struct<resolution: null, method: null, deposited: null, released: null (... 444 chars omitted)
child 0, id: string
child 1, structure: struct<resolution: null, method: null, deposited: null, released: null, revised: null, num_chains: i (... 56 chars omitted)
child 0, resolution: null
child 1, method: null
child 2, deposited: null
child 3, released: null
child 4, revised: null
child 5, num_chains: int64
child 6, num_interfaces: null
child 7, pH: null
child 8, temperature: null
child 2, chains: list<item: struct<chain_id: int64, chain_name: string, mol_type: int64, cluster_id: int64, msa_id: i (... 58 chars omitted)
child 0, item: struct<chain_id: int64, chain_name: string, mol_type: int64, cluster_id: int64, msa_id: int64, num_r (... 46 chars omitted)
child 0, chain_id: int64
child 1, chain_name: string
child 2, mol_type: int64
child 3, cluster_id: int64
child 4, msa_id: int64
child 5, num_residues: int64
child 6, valid: bool
child 7, entity_id: int64
child 3, interfaces: list<item: null>
child 0, item: null
child 4, inference_options: struct<pocket_constraints: list<item: null>, contact_constraints: list<item: null>>
child 0, pocket_constraints: list<item: null>
child 0, item: null
child 1, contact_constraints: list<item: null>
child 0, item: null
child 5, templates: list<item: null>
child 0, item: null
child 6, md: null
child 7, affinity: null
complex_ipde: double
chains_ptm: struct<0: double, 1: double>
child 0, 0: double
child 1, 1: double
complex_pde: double
confidence_score: double
complex_plddt: double
pair_chains_iptm: struct<0: struct<0: double, 1: double>, 1: struct<0: double, 1: double>>
child 0, 0: struct<0: double, 1: double>
child 0, 0: double
child 1, 1: double
child 1, 1: struct<0: double, 1: double>
child 0, 0: double
child 1, 1: double
protein_iptm: double
complex_iplddt: double
ligand_iptm: double
iptm: double
ptm: double
to
{'confidence_score': Value('float64'), 'ptm': Value('float64'), 'iptm': Value('float64'), 'ligand_iptm': Value('float64'), 'protein_iptm': Value('float64'), 'complex_plddt': Value('float64'), 'complex_iplddt': Value('float64'), 'complex_pde': Value('float64'), 'complex_ipde': Value('float64'), 'chains_ptm': {'0': Value('float64'), '1': Value('float64')}, 'pair_chains_iptm': {'0': {'0': Value('float64'), '1': Value('float64')}, '1': {'0': Value('float64'), '1': Value('float64')}}}
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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