Datasets:

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PAN-TCGA

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Garv Saluja 2

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
pair_id: string
project: string
case_id: string
sample_id: string
match_level: string
files: list<item: struct<file_id: string, path: string, repo_path: string, size: int64, md5: string>>
  child 0, item: struct<file_id: string, path: string, repo_path: string, size: int64, md5: string>
      child 0, file_id: string
      child 1, path: string
      child 2, repo_path: string
      child 3, size: int64
      child 4, md5: string
project_ids: list<item: string>
  child 0, item: string
verification: string
created_at: double
batch_id: string
threshold_bytes: int64
repo_id: string
total_bytes: int64
to
{'batch_id': Value('string'), 'repo_id': Value('string'), 'project_ids': List(Value('string')), 'threshold_bytes': Value('int64'), 'total_bytes': Value('int64'), 'files': List({'repo_path': Value('string'), 'size': Value('int64'), 'local_path': Value('string')}), 'created_at': Value('float64'), 'verification': 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
              pair_id: string
              project: string
              case_id: string
              sample_id: string
              match_level: string
              files: list<item: struct<file_id: string, path: string, repo_path: string, size: int64, md5: string>>
                child 0, item: struct<file_id: string, path: string, repo_path: string, size: int64, md5: string>
                    child 0, file_id: string
                    child 1, path: string
                    child 2, repo_path: string
                    child 3, size: int64
                    child 4, md5: string
              project_ids: list<item: string>
                child 0, item: string
              verification: string
              created_at: double
              batch_id: string
              threshold_bytes: int64
              repo_id: string
              total_bytes: int64
              to
              {'batch_id': Value('string'), 'repo_id': Value('string'), 'project_ids': List(Value('string')), 'threshold_bytes': Value('int64'), 'total_bytes': Value('int64'), 'files': List({'repo_path': Value('string'), 'size': Value('int64'), 'local_path': Value('string')}), 'created_at': Value('float64'), 'verification': Value('string')}
              because column names don't match