AI for Health
Collection
2 items • Updated
Datasets:
ArXiv:
License:
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
3LNJ: struct<boltz_confidence: double, boltz_ptm: double, boltz_iptm: double, boltz_complex_iplddt: double (... 184 chars omitted)
child 0, boltz_confidence: double
child 1, boltz_ptm: double
child 2, boltz_iptm: double
child 3, boltz_complex_iplddt: double
child 4, boltz_complex_pde: double
child 5, boltz_complex_ipde: double
child 6, boltz_pair_chains_iptm_min: double
child 7, boltz_if_pae: double
child 8, boltz_pep_self_pae: double
child 9, n_tgt_tokens: int64
child 10, n_pep_tokens: int64
2R5B: struct<boltz_confidence: double, boltz_ptm: double, boltz_iptm: double, boltz_complex_iplddt: double (... 184 chars omitted)
child 0, boltz_confidence: double
child 1, boltz_ptm: double
child 2, boltz_iptm: double
child 3, boltz_complex_iplddt: double
child 4, boltz_complex_pde: double
child 5, boltz_complex_ipde: double
child 6, boltz_pair_chains_iptm_min: double
child 7, boltz_if_pae: double
child 8, boltz_pep_self_pae: double
child 9, n_tgt_tokens: int64
child 10, n_pep_tokens: int64
2R5D: struct<boltz_confidence: double, boltz_ptm: double, boltz_iptm: double, boltz_complex_iplddt: double (... 184 chars omitted)
child 0, boltz_confidence: double
child 1, boltz_ptm: double
child 2, boltz_iptm: double
child 3, boltz_complex_iplddt: double
child 4, boltz_complex_pde: double
child 5, boltz_complex_ipde: double
child 6, boltz_pair_chains_iptm_min: double
child 7, boltz_if_pae: double
child 8, boltz_pep_self_pae: double
c
...
tm: double
child 2, boltz_iptm: double
child 3, boltz_complex_iplddt: double
child 4, boltz_complex_pde: double
child 5, boltz_complex_ipde: double
child 6, boltz_pair_chains_iptm_min: double
child 7, boltz_if_pae: double
child 8, boltz_pep_self_pae: double
child 9, n_tgt_tokens: int64
child 10, n_pep_tokens: int64
6PSA: struct<boltz_confidence: double, boltz_ptm: double, boltz_iptm: double, boltz_complex_iplddt: double (... 184 chars omitted)
child 0, boltz_confidence: double
child 1, boltz_ptm: double
child 2, boltz_iptm: double
child 3, boltz_complex_iplddt: double
child 4, boltz_complex_pde: double
child 5, boltz_complex_ipde: double
child 6, boltz_pair_chains_iptm_min: double
child 7, boltz_if_pae: double
child 8, boltz_pep_self_pae: double
child 9, n_tgt_tokens: int64
child 10, n_pep_tokens: int64
LecB: struct<target_pdb: string, hotspots: list<item: string>, n_hotspots: int64, res_range: list<item: in (... 5 chars omitted)
child 0, target_pdb: string
child 1, hotspots: list<item: string>
child 0, item: string
child 2, n_hotspots: int64
child 3, res_range: list<item: int64>
child 0, item: int64
LasR: struct<target_pdb: string, hotspots: list<item: string>, n_hotspots: int64, res_range: list<item: in (... 5 chars omitted)
child 0, target_pdb: string
child 1, hotspots: list<item: string>
child 0, item: string
child 2, n_hotspots: int64
child 3, res_range: list<item: int64>
child 0, item: int64
to
{'LasR': {'target_pdb': Value('string'), 'hotspots': List(Value('string')), 'n_hotspots': Value('int64'), 'res_range': List(Value('int64'))}, 'LecB': {'target_pdb': Value('string'), 'hotspots': List(Value('string')), 'n_hotspots': Value('int64'), 'res_range': List(Value('int64'))}}
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
3LNJ: struct<boltz_confidence: double, boltz_ptm: double, boltz_iptm: double, boltz_complex_iplddt: double (... 184 chars omitted)
child 0, boltz_confidence: double
child 1, boltz_ptm: double
child 2, boltz_iptm: double
child 3, boltz_complex_iplddt: double
child 4, boltz_complex_pde: double
child 5, boltz_complex_ipde: double
child 6, boltz_pair_chains_iptm_min: double
child 7, boltz_if_pae: double
child 8, boltz_pep_self_pae: double
child 9, n_tgt_tokens: int64
child 10, n_pep_tokens: int64
2R5B: struct<boltz_confidence: double, boltz_ptm: double, boltz_iptm: double, boltz_complex_iplddt: double (... 184 chars omitted)
child 0, boltz_confidence: double
child 1, boltz_ptm: double
child 2, boltz_iptm: double
child 3, boltz_complex_iplddt: double
child 4, boltz_complex_pde: double
child 5, boltz_complex_ipde: double
child 6, boltz_pair_chains_iptm_min: double
child 7, boltz_if_pae: double
child 8, boltz_pep_self_pae: double
child 9, n_tgt_tokens: int64
child 10, n_pep_tokens: int64
2R5D: struct<boltz_confidence: double, boltz_ptm: double, boltz_iptm: double, boltz_complex_iplddt: double (... 184 chars omitted)
child 0, boltz_confidence: double
child 1, boltz_ptm: double
child 2, boltz_iptm: double
child 3, boltz_complex_iplddt: double
child 4, boltz_complex_pde: double
child 5, boltz_complex_ipde: double
child 6, boltz_pair_chains_iptm_min: double
child 7, boltz_if_pae: double
child 8, boltz_pep_self_pae: double
c
...
tm: double
child 2, boltz_iptm: double
child 3, boltz_complex_iplddt: double
child 4, boltz_complex_pde: double
child 5, boltz_complex_ipde: double
child 6, boltz_pair_chains_iptm_min: double
child 7, boltz_if_pae: double
child 8, boltz_pep_self_pae: double
child 9, n_tgt_tokens: int64
child 10, n_pep_tokens: int64
6PSA: struct<boltz_confidence: double, boltz_ptm: double, boltz_iptm: double, boltz_complex_iplddt: double (... 184 chars omitted)
child 0, boltz_confidence: double
child 1, boltz_ptm: double
child 2, boltz_iptm: double
child 3, boltz_complex_iplddt: double
child 4, boltz_complex_pde: double
child 5, boltz_complex_ipde: double
child 6, boltz_pair_chains_iptm_min: double
child 7, boltz_if_pae: double
child 8, boltz_pep_self_pae: double
child 9, n_tgt_tokens: int64
child 10, n_pep_tokens: int64
LecB: struct<target_pdb: string, hotspots: list<item: string>, n_hotspots: int64, res_range: list<item: in (... 5 chars omitted)
child 0, target_pdb: string
child 1, hotspots: list<item: string>
child 0, item: string
child 2, n_hotspots: int64
child 3, res_range: list<item: int64>
child 0, item: int64
LasR: struct<target_pdb: string, hotspots: list<item: string>, n_hotspots: int64, res_range: list<item: in (... 5 chars omitted)
child 0, target_pdb: string
child 1, hotspots: list<item: string>
child 0, item: string
child 2, n_hotspots: int64
child 3, res_range: list<item: int64>
child 0, item: int64
to
{'LasR': {'target_pdb': Value('string'), 'hotspots': List(Value('string')), 'n_hotspots': Value('int64'), 'res_range': List(Value('int64'))}, 'LecB': {'target_pdb': Value('string'), 'hotspots': List(Value('string')), 'n_hotspots': Value('int64'), 'res_range': List(Value('int64'))}}
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.
Mirror-Score Dataset
Dataset accompanying the paper:
Mirror-Score: Calibrated, Inference-only Scoring Exposes the Limits of Sequence-compatibility Ranking in D-peptide Design
Authors: Jiada Li.
Paper: arXiv:2609.36057
Citation
@article{li2026mirrorscore,
title={Mirror-Score: Calibrated, Inference-only Scoring Exposes the Limits of Sequence-compatibility Ranking in D-peptide Design},
journal={arXiv preprint arXiv:2609.36057},
year={2026}
}
- Downloads last month
- 120