Datasets:

---

bogongwang

/

synthetic-particle-pack

Like 0

Error code:   StreamingRowsError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<noise_std: int64, add_noise_to_background_only: bool, noise_seed: int64, raw_image_metadata: struct<description: string, simulation_config: struct<DEFAULT_SCALE: double, DEFAULT_WALL_THICKNESS: double, fps: int64, n_frames: int64, sim_substeps: int64, solver_iters: int64, obj_scale: double, obj_spacing: double, obj_start_z: int64, container_radius: int64, container_height: int64, seed: int64>, run_config: struct<sim_data_dir: string, manual_check_json: string, output_dir: string, size_percentages: struct<small: double, medium: double, large: double>, seed: int64, n_objects: int64, n_simulations: int64, device: string, size_workers: null, volume_workers: int64>, simulation_path: string, timestamp: string>>
to
{'description': Value('string'), 'simulation_config': {'DEFAULT_SCALE': Value('float64'), 'DEFAULT_WALL_THICKNESS': Value('float64'), 'fps': Value('int64'), 'n_frames': Value('int64'), 'sim_substeps': Value('int64'), 'solver_iters': Value('int64'), 'obj_scale': Value('float64'), 'obj_spacing': Value('float64'), 'obj_start_z': Value('int64'), 'container_radius': Value('int64'), 'container_height': Value('int64'), 'seed': Value('int64')}, 'run_config': {'sim_data_dir': Value('string'), 'manual_check_json': Value('string'), 'output_dir': Value('string'), 'size_percentages': {'small': Value('float64'), 'medium': Value('float64'), 'large': Value('float64')}, 'seed': Value('int64'), 'n_objects': Value('int64'), 'n_simulations': Value('int64'), 'device': Value('string'), 'size_workers': Value('null'), 'volume_workers': Value('int64')}, 'simulation_path': Value('string'), 'timestamp': Value('string')}
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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2303, 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 1852, 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 2149, 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<noise_std: int64, add_noise_to_background_only: bool, noise_seed: int64, raw_image_metadata: struct<description: string, simulation_config: struct<DEFAULT_SCALE: double, DEFAULT_WALL_THICKNESS: double, fps: int64, n_frames: int64, sim_substeps: int64, solver_iters: int64, obj_scale: double, obj_spacing: double, obj_start_z: int64, container_radius: int64, container_height: int64, seed: int64>, run_config: struct<sim_data_dir: string, manual_check_json: string, output_dir: string, size_percentages: struct<small: double, medium: double, large: double>, seed: int64, n_objects: int64, n_simulations: int64, device: string, size_workers: null, volume_workers: int64>, simulation_path: string, timestamp: string>>
              to
              {'description': Value('string'), 'simulation_config': {'DEFAULT_SCALE': Value('float64'), 'DEFAULT_WALL_THICKNESS': Value('float64'), 'fps': Value('int64'), 'n_frames': Value('int64'), 'sim_substeps': Value('int64'), 'solver_iters': Value('int64'), 'obj_scale': Value('float64'), 'obj_spacing': Value('float64'), 'obj_start_z': Value('int64'), 'container_radius': Value('int64'), 'container_height': Value('int64'), 'seed': Value('int64')}, 'run_config': {'sim_data_dir': Value('string'), 'manual_check_json': Value('string'), 'output_dir': Value('string'), 'size_percentages': {'small': Value('float64'), 'medium': Value('float64'), 'large': Value('float64')}, 'seed': Value('int64'), 'n_objects': Value('int64'), 'n_simulations': Value('int64'), 'device': Value('string'), 'size_workers': Value('null'), 'volume_workers': Value('int64')}, 'simulation_path': Value('string'), 'timestamp': Value('string')}