Datasets:

---

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Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
completed_at: timestamp[s]
output: string
shape: list<item: int64>
  child 0, item: int64
sources: list<item: struct<file: string, bytes: int64, shape: list<item: int64>, output_rows: list<item: int6 (... 35 chars omitted)
  child 0, item: struct<file: string, bytes: int64, shape: list<item: int64>, output_rows: list<item: int64>, nnz: in (... 23 chars omitted)
      child 0, file: string
      child 1, bytes: int64
      child 2, shape: list<item: int64>
          child 0, item: int64
      child 3, output_rows: list<item: int64>
          child 0, item: int64
      child 4, nnz: int64
      child 5, counts_sum: int64
cell_order: string
cell_ids: string
gene_axis: string
obs_retained: list<item: string>
  child 0, item: string
obs_renamed: struct<gene_id: string, dose: string, top_oligo: string>
  child 0, gene_id: string
  child 1, dose: string
  child 2, top_oligo: string
obs_removed: list<item: string>
  child 0, item: string
var_removed: list<item: string>
  child 0, item: string
uns_removed: list<item: string>
  child 0, item: string
dtype: string
nnz: int64
counts_sum: int64
backup_created: bool
validation: string
removed_inputs: list<item: string>
  child 0, item: string
removed_input_bytes: int64
total_counts: int64
obs_columns: list<item: string>
  child 0, item: string
source: string
Matrix: string
var_columns: list<item: string>
  child 0, item: string
max_count: int64
source_matrix: string
R: string
source_object: string
to
{'shape': List(Value('int64')), 'nnz': Value('int64'), 'dtype': Value('string'), 'total_counts': Value('int64'), 'max_count': Value('int64'), 'source': Value('string'), 'output': Value('string'), 'source_object': Value('string'), 'source_matrix': Value('string'), 'obs_columns': List(Value('string')), 'var_columns': List(Value('string')), 'R': Value('string'), 'Matrix': Value('string'), 'completed_at': Value('timestamp[s]')}
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
              completed_at: timestamp[s]
              output: string
              shape: list<item: int64>
                child 0, item: int64
              sources: list<item: struct<file: string, bytes: int64, shape: list<item: int64>, output_rows: list<item: int6 (... 35 chars omitted)
                child 0, item: struct<file: string, bytes: int64, shape: list<item: int64>, output_rows: list<item: int64>, nnz: in (... 23 chars omitted)
                    child 0, file: string
                    child 1, bytes: int64
                    child 2, shape: list<item: int64>
                        child 0, item: int64
                    child 3, output_rows: list<item: int64>
                        child 0, item: int64
                    child 4, nnz: int64
                    child 5, counts_sum: int64
              cell_order: string
              cell_ids: string
              gene_axis: string
              obs_retained: list<item: string>
                child 0, item: string
              obs_renamed: struct<gene_id: string, dose: string, top_oligo: string>
                child 0, gene_id: string
                child 1, dose: string
                child 2, top_oligo: string
              obs_removed: list<item: string>
                child 0, item: string
              var_removed: list<item: string>
                child 0, item: string
              uns_removed: list<item: string>
                child 0, item: string
              dtype: string
              nnz: int64
              counts_sum: int64
              backup_created: bool
              validation: string
              removed_inputs: list<item: string>
                child 0, item: string
              removed_input_bytes: int64
              total_counts: int64
              obs_columns: list<item: string>
                child 0, item: string
              source: string
              Matrix: string
              var_columns: list<item: string>
                child 0, item: string
              max_count: int64
              source_matrix: string
              R: string
              source_object: string
              to
              {'shape': List(Value('int64')), 'nnz': Value('int64'), 'dtype': Value('string'), 'total_counts': Value('int64'), 'max_count': Value('int64'), 'source': Value('string'), 'output': Value('string'), 'source_object': Value('string'), 'source_matrix': Value('string'), 'obs_columns': List(Value('string')), 'var_columns': List(Value('string')), 'R': Value('string'), 'Matrix': Value('string'), 'completed_at': Value('timestamp[s]')}
              because column names don't match