Datasets:

---

Shanmuk4622

/

groupsafe-cp

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
rounds_done: int64
learner: null
version: list<item: int64>
  child 0, item: int64
to
{'learner': {'attributes': Json(decode=True), 'feature_names': List(Value('null')), 'feature_types': List(Value('null')), 'gradient_booster': {'model': {'cats': {'enc': List(Value('null')), 'feature_segments': List(Value('null')), 'sorted_idx': List(Value('null'))}, 'gbtree_model_param': {'num_parallel_tree': Value('string'), 'num_trees': Value('string')}, 'iteration_indptr': List(Value('int64')), 'tree_info': List(Value('int64')), 'trees': List({'base_weights': List(Value('float64')), 'categories': List(Value('null')), 'categories_nodes': List(Value('null')), 'categories_segments': List(Value('null')), 'categories_sizes': List(Value('null')), 'default_left': List(Value('int64')), 'id': Value('int64'), 'left_children': List(Value('int64')), 'loss_changes': List(Value('float64')), 'parents': List(Value('int64')), 'right_children': List(Value('int64')), 'split_conditions': List(Value('float64')), 'split_indices': List(Value('int64')), 'split_type': List(Value('int64')), 'sum_hessian': List(Value('float64')), 'tree_param': {'num_deleted': Value('string'), 'num_feature': Value('string'), 'num_nodes': Value('string'), 'size_leaf_vector': Value('string')}})}, 'name': Value('string')}, 'learner_model_param': {'base_score': Value('string'), 'boost_from_average': Value('string'), 'num_class': Value('string'), 'num_feature': Value('string'), 'num_target': Value('string')}, 'objective': {'name': Value('string'), 'reg_loss_param': {'scale_pos_weight': Value('string')}}}, 'version': List(Value('int64'))}
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 478, 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 2815, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2377, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              rounds_done: int64
              learner: null
              version: list<item: int64>
                child 0, item: int64
              to
              {'learner': {'attributes': Json(decode=True), 'feature_names': List(Value('null')), 'feature_types': List(Value('null')), 'gradient_booster': {'model': {'cats': {'enc': List(Value('null')), 'feature_segments': List(Value('null')), 'sorted_idx': List(Value('null'))}, 'gbtree_model_param': {'num_parallel_tree': Value('string'), 'num_trees': Value('string')}, 'iteration_indptr': List(Value('int64')), 'tree_info': List(Value('int64')), 'trees': List({'base_weights': List(Value('float64')), 'categories': List(Value('null')), 'categories_nodes': List(Value('null')), 'categories_segments': List(Value('null')), 'categories_sizes': List(Value('null')), 'default_left': List(Value('int64')), 'id': Value('int64'), 'left_children': List(Value('int64')), 'loss_changes': List(Value('float64')), 'parents': List(Value('int64')), 'right_children': List(Value('int64')), 'split_conditions': List(Value('float64')), 'split_indices': List(Value('int64')), 'split_type': List(Value('int64')), 'sum_hessian': List(Value('float64')), 'tree_param': {'num_deleted': Value('string'), 'num_feature': Value('string'), 'num_nodes': Value('string'), 'size_leaf_vector': Value('string')}})}, 'name': Value('string')}, 'learner_model_param': {'base_score': Value('string'), 'boost_from_average': Value('string'), 'num_class': Value('string'), 'num_feature': Value('string'), 'num_target': Value('string')}, 'objective': {'name': Value('string'), 'reg_loss_param': {'scale_pos_weight': Value('string')}}}, 'version': List(Value('int64'))}
              because column names don't match