Datasets:

---

michaelwaves

/

saeber-rf3-safeprotein-activations

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
chain_ptm: list<item: double>
  child 0, item: double
chain_pair_pae_min: list<item: list<item: null>>
  child 0, item: list<item: null>
      child 0, item: null
chain_pair_pde_min: list<item: list<item: null>>
  child 0, item: list<item: null>
      child 0, item: null
chain_pair_pae: list<item: list<item: null>>
  child 0, item: list<item: null>
      child 0, item: null
chain_pair_pde: list<item: list<item: null>>
  child 0, item: list<item: null>
      child 0, item: null
overall_plddt: double
overall_pde: double
overall_pae: double
ptm: double
iptm: double
has_clash: bool
ranking_score: double
atom_plddts: list<item: double>
  child 0, item: double
pae: list<item: list<item: double>>
  child 0, item: list<item: double>
      child 0, item: double
atom_chain_ids: list<item: string>
  child 0, item: string
token_res_ids: list<item: int64>
  child 0, item: int64
token_chain_ids: list<item: string>
  child 0, item: string
to
{'atom_chain_ids': List(Value('string')), 'atom_plddts': List(Value('float64')), 'pae': List(List(Value('float64'))), 'token_chain_ids': List(Value('string')), 'token_res_ids': List(Value('int64'))}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 295, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2281, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              chain_ptm: list<item: double>
                child 0, item: double
              chain_pair_pae_min: list<item: list<item: null>>
                child 0, item: list<item: null>
                    child 0, item: null
              chain_pair_pde_min: list<item: list<item: null>>
                child 0, item: list<item: null>
                    child 0, item: null
              chain_pair_pae: list<item: list<item: null>>
                child 0, item: list<item: null>
                    child 0, item: null
              chain_pair_pde: list<item: list<item: null>>
                child 0, item: list<item: null>
                    child 0, item: null
              overall_plddt: double
              overall_pde: double
              overall_pae: double
              ptm: double
              iptm: double
              has_clash: bool
              ranking_score: double
              atom_plddts: list<item: double>
                child 0, item: double
              pae: list<item: list<item: double>>
                child 0, item: list<item: double>
                    child 0, item: double
              atom_chain_ids: list<item: string>
                child 0, item: string
              token_res_ids: list<item: int64>
                child 0, item: int64
              token_chain_ids: list<item: string>
                child 0, item: string
              to
              {'atom_chain_ids': List(Value('string')), 'atom_plddts': List(Value('float64')), 'pae': List(List(Value('float64'))), 'token_chain_ids': List(Value('string')), 'token_res_ids': List(Value('int64'))}
              because column names don't match