Datasets:

---

AlphaSlayer

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sci-Plex3

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
all_nonnegative_integer: bool
obs_retained: list<item: string>
  child 0, item: string
extra_zero_columns_removed: int64
obs_removed: list<item: string>
  child 0, item: string
var_removed: list<item: string>
  child 0, item: string
output_shape: list<item: int64>
  child 0, item: int64
completed_at: timestamp[s]
gene_order: string
mouse_features_removed: int64
legacy_header_shift: bool
complete_IDs_unique: bool
gene_annotation: string
counts: struct<dtype: string, nnz: int64, total_counts: int64, max_count: int64>
  child 0, dtype: string
  child 1, nnz: int64
  child 2, total_counts: int64
  child 3, max_count: int64
input_shape: list<item: int64>
  child 0, item: int64
validation: string
PAR_Y_features_retained: int64
perturbation_trim_changes: list<item: struct<before: string, after: string, cells: int64>>
  child 0, item: struct<before: string, after: string, cells: int64>
      child 0, before: string
      child 1, after: string
      child 2, cells: int64
obs_renamed: struct<dose_value: string, time: string, chembl-ID: string>
  child 0, dose_value: string
  child 1, time: string
  child 2, chembl-ID: string
backup_created: bool
to
{'completed_at': Value('timestamp[s]'), 'file': Value('string'), 'input_shape': List(Value('int64')), 'output_shape': List(Value('int64')), 'gene_annotation': Value('string'), 'gene_order': Value('string'), 'legacy_header_shift': Value('bool'), 'extra_zero_columns_removed': Value('int64'), 'mouse_features_removed': Value('int64'), 'complete_IDs_unique': Value('bool'), 'PAR_Y_features_retained': Value('int64'), 'obs_retained': List(Value('string')), 'obs_renamed': {'dose_value': Value('string'), 'time': Value('string'), 'chembl-ID': Value('string')}, 'obs_removed': List(Value('string')), 'perturbation_trim_changes': List({'before': Value('string'), 'after': Value('string'), 'cells': Value('int64')}), 'var_removed': List(Value('string')), 'counts': {'dtype': Value('string'), 'nnz': Value('int64'), 'total_counts': Value('int64'), 'max_count': 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
              all_nonnegative_integer: bool
              obs_retained: list<item: string>
                child 0, item: string
              extra_zero_columns_removed: int64
              obs_removed: list<item: string>
                child 0, item: string
              var_removed: list<item: string>
                child 0, item: string
              output_shape: list<item: int64>
                child 0, item: int64
              completed_at: timestamp[s]
              gene_order: string
              mouse_features_removed: int64
              legacy_header_shift: bool
              complete_IDs_unique: bool
              gene_annotation: string
              counts: struct<dtype: string, nnz: int64, total_counts: int64, max_count: int64>
                child 0, dtype: string
                child 1, nnz: int64
                child 2, total_counts: int64
                child 3, max_count: int64
              input_shape: list<item: int64>
                child 0, item: int64
              validation: string
              PAR_Y_features_retained: int64
              perturbation_trim_changes: list<item: struct<before: string, after: string, cells: int64>>
                child 0, item: struct<before: string, after: string, cells: int64>
                    child 0, before: string
                    child 1, after: string
                    child 2, cells: int64
              obs_renamed: struct<dose_value: string, time: string, chembl-ID: string>
                child 0, dose_value: string
                child 1, time: string
                child 2, chembl-ID: string
              backup_created: bool
              to
              {'completed_at': Value('timestamp[s]'), 'file': Value('string'), 'input_shape': List(Value('int64')), 'output_shape': List(Value('int64')), 'gene_annotation': Value('string'), 'gene_order': Value('string'), 'legacy_header_shift': Value('bool'), 'extra_zero_columns_removed': Value('int64'), 'mouse_features_removed': Value('int64'), 'complete_IDs_unique': Value('bool'), 'PAR_Y_features_retained': Value('int64'), 'obs_retained': List(Value('string')), 'obs_renamed': {'dose_value': Value('string'), 'time': Value('string'), 'chembl-ID': Value('string')}, 'obs_removed': List(Value('string')), 'perturbation_trim_changes': List({'before': Value('string'), 'after': Value('string'), 'cells': Value('int64')}), 'var_removed': List(Value('string')), 'counts': {'dtype': Value('string'), 'nnz': Value('int64'), 'total_counts': Value('int64'), 'max_count': Value('int64')}, 'backup_created': Value('bool'), 'validation': Value('string')}
              because column names don't match