Datasets:

---

AlphaSlayer

/

Parse_10M_PBMC

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
file: string
shape: list<item: int64>
  child 0, item: int64
obs_index_length_checked: int64
var_names_unique: bool
dtype: string
nnz: int64
sample_nonnegative_integer: bool
cytokine_labels: string
var_removed: list<item: string>
  child 0, item: string
obs_retained: list<item: string>
  child 0, item: string
sample_cytokine_label_differences: list<item: struct<sample_stimulus: string, cytokine: string, cells: int64>>
  child 0, item: struct<sample_stimulus: string, cytokine: string, cells: int64>
      child 0, sample_stimulus: string
      child 1, cytokine: string
      child 2, cells: int64
obs_removed: list<item: string>
  child 0, item: string
donor_well_groups: int64
validation: string
removed_n_cells: struct<max: int64, above_current_cells: int64>
  child 0, max: int64
  child 1, above_current_cells: int64
pbs_wells: list<item: struct<donor: string, well: string, cells: int64>>
  child 0, item: struct<donor: string, well: string, cells: int64>
      child 0, donor: string
      child 1, well: string
      child 2, cells: int64
completed_at: timestamp[s]
backup_created: bool
obs_renamed: struct<bc1_well: string>
  child 0, bc1_well: string
to
{'completed_at': Value('timestamp[s]'), 'file': Value('string'), 'shape': List(Value('int64')), 'obs_retained': List(Value('string')), 'obs_removed': List(Value('string')), 'obs_renamed': {'bc1_well': Value('string')}, 'var_removed': List(Value('string')), 'removed_n_cells': {'max': Value('int64'), 'above_current_cells': Value('int64')}, 'sample_cytokine_label_differences': List({'sample_stimulus': Value('string'), 'cytokine': Value('string'), 'cells': Value('int64')}), 'cytokine_labels': Value('string'), 'donor_well_groups': Value('int64'), 'pbs_wells': List({'donor': Value('string'), 'well': Value('string'), 'cells': Value('int64')}), 'backup_created': Value('bool'), 'validation': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 544, 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 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              file: string
              shape: list<item: int64>
                child 0, item: int64
              obs_index_length_checked: int64
              var_names_unique: bool
              dtype: string
              nnz: int64
              sample_nonnegative_integer: bool
              cytokine_labels: string
              var_removed: list<item: string>
                child 0, item: string
              obs_retained: list<item: string>
                child 0, item: string
              sample_cytokine_label_differences: list<item: struct<sample_stimulus: string, cytokine: string, cells: int64>>
                child 0, item: struct<sample_stimulus: string, cytokine: string, cells: int64>
                    child 0, sample_stimulus: string
                    child 1, cytokine: string
                    child 2, cells: int64
              obs_removed: list<item: string>
                child 0, item: string
              donor_well_groups: int64
              validation: string
              removed_n_cells: struct<max: int64, above_current_cells: int64>
                child 0, max: int64
                child 1, above_current_cells: int64
              pbs_wells: list<item: struct<donor: string, well: string, cells: int64>>
                child 0, item: struct<donor: string, well: string, cells: int64>
                    child 0, donor: string
                    child 1, well: string
                    child 2, cells: int64
              completed_at: timestamp[s]
              backup_created: bool
              obs_renamed: struct<bc1_well: string>
                child 0, bc1_well: string
              to
              {'completed_at': Value('timestamp[s]'), 'file': Value('string'), 'shape': List(Value('int64')), 'obs_retained': List(Value('string')), 'obs_removed': List(Value('string')), 'obs_renamed': {'bc1_well': Value('string')}, 'var_removed': List(Value('string')), 'removed_n_cells': {'max': Value('int64'), 'above_current_cells': Value('int64')}, 'sample_cytokine_label_differences': List({'sample_stimulus': Value('string'), 'cytokine': Value('string'), 'cells': Value('int64')}), 'cytokine_labels': Value('string'), 'donor_well_groups': Value('int64'), 'pbs_wells': List({'donor': Value('string'), 'well': Value('string'), 'cells': Value('int64')}), 'backup_created': Value('bool'), 'validation': Value('string')}
              because column names don't match