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
path: string
format: string
name: string
models: int64
chains: list<item: struct<chain: string, residues: int64, protein_like_residues: int64, atoms: int64, first_ (... 115 chars omitted)
child 0, item: struct<chain: string, residues: int64, protein_like_residues: int64, atoms: int64, first_residue: st (... 103 chars omitted)
child 0, chain: string
child 1, residues: int64
child 2, protein_like_residues: int64
child 3, atoms: int64
child 4, first_residue: string
child 5, last_residue: string
child 6, missing_backbone_count: int64
child 7, missing_backbone_examples: list<item: null>
child 0, item: null
checks: list<item: struct<status: string, message: string>>
child 0, item: struct<status: string, message: string>
child 0, status: string
child 1, message: string
warnings: list<item: null>
child 0, item: null
copied_designs: list<item: struct<final_rank: int64, id: string, file: string>>
child 0, item: struct<final_rank: int64, id: string, file: string>
child 0, final_rank: int64
child 1, id: string
child 2, file: string
staged_design_count: int64
all_metrics_rows: int64
requested_count: int64
requested_folder_name: string
available_passing_count: int64
selection_rule: string
staged_at_utc: string
source_run: string
missing_rank_files: list<item: null>
child 0, item: null
to
{'staged_at_utc': Value('string'), 'source_run': Value('string'), 'requested_folder_name': Value('string'), 'selection_rule': Value('string'), 'requested_count': Value('int64'), 'available_passing_count': Value('int64'), 'staged_design_count': Value('int64'), 'all_metrics_rows': Value('int64'), 'missing_rank_files': List(Value('null')), 'copied_designs': List({'final_rank': Value('int64'), 'id': Value('string'), 'file': 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 478, 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
path: string
format: string
name: string
models: int64
chains: list<item: struct<chain: string, residues: int64, protein_like_residues: int64, atoms: int64, first_ (... 115 chars omitted)
child 0, item: struct<chain: string, residues: int64, protein_like_residues: int64, atoms: int64, first_residue: st (... 103 chars omitted)
child 0, chain: string
child 1, residues: int64
child 2, protein_like_residues: int64
child 3, atoms: int64
child 4, first_residue: string
child 5, last_residue: string
child 6, missing_backbone_count: int64
child 7, missing_backbone_examples: list<item: null>
child 0, item: null
checks: list<item: struct<status: string, message: string>>
child 0, item: struct<status: string, message: string>
child 0, status: string
child 1, message: string
warnings: list<item: null>
child 0, item: null
copied_designs: list<item: struct<final_rank: int64, id: string, file: string>>
child 0, item: struct<final_rank: int64, id: string, file: string>
child 0, final_rank: int64
child 1, id: string
child 2, file: string
staged_design_count: int64
all_metrics_rows: int64
requested_count: int64
requested_folder_name: string
available_passing_count: int64
selection_rule: string
staged_at_utc: string
source_run: string
missing_rank_files: list<item: null>
child 0, item: null
to
{'staged_at_utc': Value('string'), 'source_run': Value('string'), 'requested_folder_name': Value('string'), 'selection_rule': Value('string'), 'requested_count': Value('int64'), 'available_passing_count': Value('int64'), 'staged_design_count': Value('int64'), 'all_metrics_rows': Value('int64'), 'missing_rank_files': List(Value('null')), 'copied_designs': List({'final_rank': Value('int64'), 'id': Value('string'), 'file': 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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1IVO_LINEARMINIPROTEIN_1k
Staged upload folder for the BoltzGen 1IVO linear miniprotein 1k run.
Source run: /workspace/MoonShot/moonshot/results/aditi-1ivo-boltzgen-binder-64aa-samples-1000
Selection: top designs with pass_filters=True, sorted by final_rank, requested limit 35.
Note: only 32 designs in the 1000-design metrics table passed all filters, so this staged folder contains 32 CIF designs rather than 35.
Contents:
designs/: ranked final CIF structures that passed filters.top_passed_designs_metrics.csv: metrics rows for the staged designs only.metadata/: source input, PDB preflight check, target file, and results overview PDF when available.manifest.json: upload selection manifest.
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