Datasets:

---

lyyyyyj

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misumi-v6-dg

Like 0

Error code:   StreamingRowsError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<rename_map: struct<>, device: string, float_dtype: null, eps: double, features: struct<observation.images.top_left: struct<type: string, shape: list<item: int64>>, observation.images.wrist_left: struct<type: string, shape: list<item: int64>>, observation.images.wrist_right: struct<type: string, shape: list<item: int64>>, observation.state: struct<type: string, shape: list<item: int64>>, observation.environment_state: struct<type: string, shape: list<item: int64>>, action: struct<type: string, shape: list<item: int64>>, action.measured_next: struct<type: string, shape: list<item: int64>>, action.base_mode: struct<type: string, shape: list<item: int64>>, action.base_ref_pose: struct<type: string, shape: list<item: int64>>, action.tcp_pose: struct<type: string, shape: list<item: int64>>, action.base_executed: struct<type: string, shape: list<item: int64>>, action.arm_executed: struct<type: string, shape: list<item: int64>>>, norm_map: struct<VISUAL: string, POINTCLOUD: string, DEPTH: string, STATE: string, ENV: string, ACTION: string>>
to
{'eps': Value('float64'), 'features': {'action': {'type': Value('string'), 'shape': List(Value('int64'))}, 'action.measured_next': {'type': Value('string'), 'shape': List(Value('int64'))}, 'action.base_mode': {'type': Value('string'), 'shape': List(Value('int64'))}, 'action.base_ref_pose': {'type': Value('string'), 'shape': List(Value('int64'))}, 'action.tcp_pose': {'type': Value('string'), 'shape': List(Value('int64'))}, 'action.base_executed': {'type': Value('string'), 'shape': List(Value('int64'))}, 'action.arm_executed': {'type': Value('string'), 'shape': List(Value('int64'))}}, 'norm_map': {'VISUAL': Value('string'), 'POINTCLOUD': Value('string'), 'DEPTH': Value('string'), 'STATE': Value('string'), 'ENV': Value('string'), 'ACTION': Value('string')}, 'device': Value('string'), 'float_dtype': Value('null')}
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 2315, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2121, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2071, in cast_array_to_feature
                  _c(children[name] if name in array_fields else null_array, subfeature)
                  ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2161, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<rename_map: struct<>, device: string, float_dtype: null, eps: double, features: struct<observation.images.top_left: struct<type: string, shape: list<item: int64>>, observation.images.wrist_left: struct<type: string, shape: list<item: int64>>, observation.images.wrist_right: struct<type: string, shape: list<item: int64>>, observation.state: struct<type: string, shape: list<item: int64>>, observation.environment_state: struct<type: string, shape: list<item: int64>>, action: struct<type: string, shape: list<item: int64>>, action.measured_next: struct<type: string, shape: list<item: int64>>, action.base_mode: struct<type: string, shape: list<item: int64>>, action.base_ref_pose: struct<type: string, shape: list<item: int64>>, action.tcp_pose: struct<type: string, shape: list<item: int64>>, action.base_executed: struct<type: string, shape: list<item: int64>>, action.arm_executed: struct<type: string, shape: list<item: int64>>>, norm_map: struct<VISUAL: string, POINTCLOUD: string, DEPTH: string, STATE: string, ENV: string, ACTION: string>>
              to
              {'eps': Value('float64'), 'features': {'action': {'type': Value('string'), 'shape': List(Value('int64'))}, 'action.measured_next': {'type': Value('string'), 'shape': List(Value('int64'))}, 'action.base_mode': {'type': Value('string'), 'shape': List(Value('int64'))}, 'action.base_ref_pose': {'type': Value('string'), 'shape': List(Value('int64'))}, 'action.tcp_pose': {'type': Value('string'), 'shape': List(Value('int64'))}, 'action.base_executed': {'type': Value('string'), 'shape': List(Value('int64'))}, 'action.arm_executed': {'type': Value('string'), 'shape': List(Value('int64'))}}, 'norm_map': {'VISUAL': Value('string'), 'POINTCLOUD': Value('string'), 'DEPTH': Value('string'), 'STATE': Value('string'), 'ENV': Value('string'), 'ACTION': Value('string')}, 'device': Value('string'), 'float_dtype': Value('null')}