Datasets:

---

StellaLJQ

/

merck_asos

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
id: string
structure: struct<resolution: double, method: string, deposited: string, released: string, revised: string, num (... 67 chars omitted)
  child 0, resolution: double
  child 1, method: string
  child 2, deposited: string
  child 3, released: string
  child 4, revised: string
  child 5, num_chains: int64
  child 6, num_interfaces: int64
  child 7, pH: null
  child 8, temperature: null
chains: list<item: struct<chain_id: int64, chain_name: string, mol_type: int64, cluster_id: int64, msa_id: s (... 58 chars omitted)
  child 0, item: struct<chain_id: int64, chain_name: string, mol_type: int64, cluster_id: int64, msa_id: string, num_ (... 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: string
      child 5, num_residues: int64
      child 6, valid: bool
      child 7, entity_id: null
interfaces: list<item: struct<chain_1: int64, chain_2: int64, valid: bool>>
  child 0, item: struct<chain_1: int64, chain_2: int64, valid: bool>
      child 0, chain_1: int64
      child 1, chain_2: int64
      child 2, valid: bool
inference_options: null
templates: null
md: null
affinity: null
ground_truth: struct<structure: string, ligand_types: list<item: struct<ligand_id: string, ccd: string, chain: str (... 49 chars omitted)
  child 0, structure: string
  child 1, ligand_types: list<item: struct<ligand_id: string, ccd: string, chain: string, seqid: int64, icode: string, type:  (... 8 chars omitted)
      child 0, item: struct<ligand_id: string, ccd: string, chain: string, seqid: int64, icode: string, type: string>
          child 0, ligand_id: string
          child 1, ccd: string
          child 2, chain: string
          child 3, seqid: int64
          child 4, icode: string
          child 5, type: string
ligands: list<item: struct<id: string, smiles: string>>
  child 0, item: struct<id: string, smiles: string>
      child 0, id: string
      child 1, smiles: string
proteins: list<item: struct<id: string, sequence: string, msa: string>>
  child 0, item: struct<id: string, sequence: string, msa: string>
      child 0, id: string
      child 1, sequence: string
      child 2, msa: string
datapoint_id: string
task_type: string
to
{'datapoint_id': Value('string'), 'task_type': Value('string'), 'proteins': List({'id': Value('string'), 'sequence': Value('string'), 'msa': Value('string')}), 'ligands': List({'id': Value('string'), 'smiles': Value('string')}), 'ground_truth': {'structure': Value('string'), 'ligand_types': List({'ligand_id': Value('string'), 'ccd': Value('string'), 'chain': Value('string'), 'seqid': Value('int64'), 'icode': Value('string'), 'type': 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 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
              id: string
              structure: struct<resolution: double, method: string, deposited: string, released: string, revised: string, num (... 67 chars omitted)
                child 0, resolution: double
                child 1, method: string
                child 2, deposited: string
                child 3, released: string
                child 4, revised: string
                child 5, num_chains: int64
                child 6, num_interfaces: int64
                child 7, pH: null
                child 8, temperature: null
              chains: list<item: struct<chain_id: int64, chain_name: string, mol_type: int64, cluster_id: int64, msa_id: s (... 58 chars omitted)
                child 0, item: struct<chain_id: int64, chain_name: string, mol_type: int64, cluster_id: int64, msa_id: string, num_ (... 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: string
                    child 5, num_residues: int64
                    child 6, valid: bool
                    child 7, entity_id: null
              interfaces: list<item: struct<chain_1: int64, chain_2: int64, valid: bool>>
                child 0, item: struct<chain_1: int64, chain_2: int64, valid: bool>
                    child 0, chain_1: int64
                    child 1, chain_2: int64
                    child 2, valid: bool
              inference_options: null
              templates: null
              md: null
              affinity: null
              ground_truth: struct<structure: string, ligand_types: list<item: struct<ligand_id: string, ccd: string, chain: str (... 49 chars omitted)
                child 0, structure: string
                child 1, ligand_types: list<item: struct<ligand_id: string, ccd: string, chain: string, seqid: int64, icode: string, type:  (... 8 chars omitted)
                    child 0, item: struct<ligand_id: string, ccd: string, chain: string, seqid: int64, icode: string, type: string>
                        child 0, ligand_id: string
                        child 1, ccd: string
                        child 2, chain: string
                        child 3, seqid: int64
                        child 4, icode: string
                        child 5, type: string
              ligands: list<item: struct<id: string, smiles: string>>
                child 0, item: struct<id: string, smiles: string>
                    child 0, id: string
                    child 1, smiles: string
              proteins: list<item: struct<id: string, sequence: string, msa: string>>
                child 0, item: struct<id: string, sequence: string, msa: string>
                    child 0, id: string
                    child 1, sequence: string
                    child 2, msa: string
              datapoint_id: string
              task_type: string
              to
              {'datapoint_id': Value('string'), 'task_type': Value('string'), 'proteins': List({'id': Value('string'), 'sequence': Value('string'), 'msa': Value('string')}), 'ligands': List({'id': Value('string'), 'smiles': Value('string')}), 'ground_truth': {'structure': Value('string'), 'ligand_types': List({'ligand_id': Value('string'), 'ccd': Value('string'), 'chain': Value('string'), 'seqid': Value('int64'), 'icode': Value('string'), 'type': Value('string')})}}
              because column names don't match