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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
scene: string
scene_index: int64
scene_builder: string
target_radius_m: double
target_count: int64
loaded_object_count: int64
source_file: string
origin_world_m: list<item: double>
  child 0, item: double
initial_camera_yaw_pitch_deg: list<item: int64>
  child 0, item: int64
camera_to_world_rotation: list<item: list<item: double>>
  child 0, item: list<item: double>
      child 0, item: double
coordinate_frame: string
center_definition: string
excluded: string
objects: list<item: struct<id: string, category: string, group: string, xyz_m: list<item: double>, center_wor (... 102 chars omitted)
  child 0, item: struct<id: string, category: string, group: string, xyz_m: list<item: double>, center_world_m: list< (... 90 chars omitted)
      child 0, id: string
      child 1, category: string
      child 2, group: string
      child 3, xyz_m: list<item: double>
          child 0, item: double
      child 4, center_world_m: list<item: double>
          child 0, item: double
      child 5, bbox_world_min_m: list<item: double>
          child 0, item: double
      child 6, bbox_world_max_m: list<item: double>
          child 0, item: double
to
{'id': Value('string'), 'category': Value('string'), 'group': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 783, in write_table
                  self.write_rows_on_file()  # in case there are buffered rows to write first
                  ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
                  self._write_table(table)
                  ~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 795, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              scene: string
              scene_index: int64
              scene_builder: string
              target_radius_m: double
              target_count: int64
              loaded_object_count: int64
              source_file: string
              origin_world_m: list<item: double>
                child 0, item: double
              initial_camera_yaw_pitch_deg: list<item: int64>
                child 0, item: int64
              camera_to_world_rotation: list<item: list<item: double>>
                child 0, item: list<item: double>
                    child 0, item: double
              coordinate_frame: string
              center_definition: string
              excluded: string
              objects: list<item: struct<id: string, category: string, group: string, xyz_m: list<item: double>, center_wor (... 102 chars omitted)
                child 0, item: struct<id: string, category: string, group: string, xyz_m: list<item: double>, center_world_m: list< (... 90 chars omitted)
                    child 0, id: string
                    child 1, category: string
                    child 2, group: string
                    child 3, xyz_m: list<item: double>
                        child 0, item: double
                    child 4, center_world_m: list<item: double>
                        child 0, item: double
                    child 5, bbox_world_min_m: list<item: double>
                        child 0, item: double
                    child 6, bbox_world_max_m: list<item: double>
                        child 0, item: double
              to
              {'id': Value('string'), 'category': Value('string'), 'group': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 14 new columns ({'initial_camera_yaw_pitch_deg', 'target_radius_m', 'origin_world_m', 'scene', 'loaded_object_count', 'excluded', 'scene_index', 'objects', 'camera_to_world_rotation', 'center_definition', 'source_file', 'target_count', 'scene_builder', 'coordinate_frame'}) and 3 missing columns ({'category', 'group', 'id'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/jessezhaoxizhang/SpatialScout/benchmark/scenes/procthor_train_1526/entity_library.json (at revision 8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d), ['hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_1025/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_1025/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_1526/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_1526/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_1966/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_1966/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_2236/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_2236/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_2368/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_2368/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_2700/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_2700/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_3458/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_3458/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_3582/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_3582/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_3862/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_3862/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_4306/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_4306/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_4355/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_4355/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_5251/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_5251/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_5373/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_5373/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_5518/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_5518/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_602/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_602/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_6183/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_6183/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_6554/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_6554/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_7248/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_7248/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_734/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_734/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_7831/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_7831/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_8076/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_8076/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_8739/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_8739/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_9180/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_9180/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_945/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_945/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_9525/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_9525/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/robothor_train12_5/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/robothor_train12_5/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/robothor_train1_4/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/robothor_train1_4/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/robothor_train2_4/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/robothor_train2_4/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/robothor_train3_2/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/robothor_train3_2/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/robothor_train4_1/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/robothor_train4_1/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/robothor_train5_4/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/robothor_train5_4/ground_truth.json'], ['hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_1025/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_1025/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_1526/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_1526/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_1966/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_1966/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_2236/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_2236/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_2368/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_2368/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_2700/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_2700/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_3458/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_3458/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_3582/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_3582/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_3862/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_3862/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_4306/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_4306/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_4355/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_4355/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_5251/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_5251/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_5373/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_5373/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_5518/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_5518/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_602/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_602/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_6183/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_6183/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_6554/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_6554/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_7248/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_7248/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_734/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_734/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_7831/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_7831/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_8076/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_8076/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_8739/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_8739/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_9180/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_9180/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_945/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_945/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_9525/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/procthor_train_9525/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/robothor_train12_5/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/robothor_train12_5/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/robothor_train1_4/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/robothor_train1_4/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/robothor_train2_4/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/robothor_train2_4/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/robothor_train3_2/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/robothor_train3_2/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/robothor_train4_1/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/robothor_train4_1/ground_truth.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/robothor_train5_4/entity_library.json', 'hf://datasets/jessezhaoxizhang/SpatialScout@8dfdcdfd77aeccfb8b15ef562b5837cc39169f7d/benchmark/scenes/robothor_train5_4/ground_truth.json']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1868, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 803, in finalize
                  self.write_rows_on_file()
                  ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
                  self._write_table(table)
                  ~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 795, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              scene: string
              scene_index: int64
              scene_builder: string
              target_radius_m: double
              target_count: int64
              loaded_object_count: int64
              source_file: string
              origin_world_m: list<item: double>
                child 0, item: double
              initial_camera_yaw_pitch_deg: list<item: int64>
                child 0, item: int64
              camera_to_world_rotation: list<item: list<item: double>>
                child 0, item: list<item: double>
                    child 0, item: double
              coordinate_frame: string
              center_definition: string
              excluded: string
              objects: list<item: struct<id: string, category: string, group: string, xyz_m: list<item: double>, center_wor (... 102 chars omitted)
                child 0, item: struct<id: string, category: string, group: string, xyz_m: list<item: double>, center_world_m: list< (... 90 chars omitted)
                    child 0, id: string
                    child 1, category: string
                    child 2, group: string
                    child 3, xyz_m: list<item: double>
                        child 0, item: double
                    child 4, center_world_m: list<item: double>
                        child 0, item: double
                    child 5, bbox_world_min_m: list<item: double>
                        child 0, item: double
                    child 6, bbox_world_max_m: list<item: double>
                        child 0, item: double
              to
              {'id': Value('string'), 'category': Value('string'), 'group': Value('string')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1879, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

id
string
category
string
group
string
objects/pillow_24_0
Pillow
Pillow
objects/Box_4_1
Box
Box
objects/BaseballBat_1_2
BaseballBat
BaseballBat
objects/RoboTHOR_bed_hemnes_3
Bed
Bed
objects/Basketball_1_4
BasketBall
BasketBall
objects/Laptop_11_5
Laptop
Laptop
objects/Pen_4_7
Pen
Pen
objects/Book_17_10
Book
Book
objects/Book_7_11
Book
Book
objects/Pen_3_12
Pen
Pen
objects/Vase_Tall_1_13
Vase
Vase
objects/RoboTHOR_dining_table_extendable_14
DiningTable
DiningTable
objects/RoboTHOR_chair_mella_15
Chair
Chair
objects/Houseplant_6_16
HousePlant
HousePlant
objects/CreditCard_3_17
CreditCard
CreditCard
objects/RoboTHOR_book_ai2_5_v_18
Book
Book
objects/RoboTHOR_book_ai2_5_v_19
Book
Book
objects/Book_7_20
Book
Book
objects/Keychain_3_21
KeyChain
KeyChain
objects/Box_19_22
Box
Box
objects/Bowl_24_23
Bowl
Bowl
objects/Tissue_Box_1_24
TissueBox
TissueBox
objects/Pen_1_26
Pen
Pen
objects/Pen_3_27
Pen
Pen
objects/Dumbbell_1_1_28
Dumbbell
Dumbbell
objects/Desk_308_2_1_29
Desk
Desk
objects/Spray_Bottle_6_30
SprayBottle
SprayBottle
objects/Toilet_Paper_Used_Up_31
ToiletPaper
ToiletPaper
objects/Dish_Sponge_1_32
DishSponge
DishSponge
objects/Paper_Towel_1_33
PaperTowelRoll
PaperTowelRoll
objects/Toilet_2_34
Toilet
Toilet
objects/Bathroom_Faucet_1_37
Faucet
Faucet
objects/Sink_20_38
Sink
Sink
objects/Plunger_1_39
Plunger
Plunger
objects/Side_Table_210_2_1_40
SideTable
SideTable
objects/Wall_Decor_Photo_1V_41
Painting
Painting
objects/Wall_Decor_Painting_3_43
Painting
Painting
objects/Wall_Decor_Painting_8_44
Painting
Painting
objects/Doorway_8_open_45
Doorway
Doorway
objects/Window_Hung_32x60_48
Window
Window
null
null
null
objects/RoboTHOR_fork_ai2_v_0
Fork
Fork
objects/Paper_Towel_1_1
PaperTowelRoll
PaperTowelRoll
objects/ButterKnife_1_3
ButterKnife
ButterKnife
objects/Pan_27_4
Pan
Pan
objects/Spatula_1_6
Spatula
Spatula
objects/Pepper_Shaker_2_7
PepperShaker
PepperShaker
objects/Potato_29_8
Potato
Potato
objects/Countertop_L_4x8_9
CounterTop
CounterTop
objects/RoboTHOR_candle_glittrig_2_v_27
Candle
Candle
objects/CreditCard_4_28
CreditCard
CreditCard
objects/Plate_23_29
Plate
Plate
objects/Pen_2_30
Pen
Pen
objects/RoboTHOR_dining_table_jokkmokk_v_31
DiningTable
DiningTable
objects/RoboTHOR_chair_mella_32
Chair
Chair
objects/RoboTHOR_chair_mella_33
Chair
Chair
objects/RoboTHOR_chair_mella_34
Chair
Chair
objects/Laptop_6_35
Laptop
Laptop
objects/Newspaper_1_36
Newspaper
Newspaper
objects/Pencil_5_37
Pencil
Pencil
objects/Sofa_221_1_38
Sofa
Sofa
objects/Floor_Lamp_8_39
FloorLamp
FloorLamp
objects/Houseplant_27_40
HousePlant
HousePlant
objects/Tissue_Box_1_45
TissueBox
TissueBox
objects/Bowl_19_46
Bowl
Bowl
objects/Keychain_3_49
KeyChain
KeyChain
objects/Dresser_301_1_50
Dresser
Dresser
objects/RoboTHOR_pencil_amazon_basics_v_57
Pencil
Pencil
objects/RoboTHOR_remote_coolux_v_58
RemoteControl
RemoteControl
objects/Side_Table_302_2_1_59
SideTable
SideTable
objects/Box_19_64
Box
Box
objects/Television_25_65
Television
Television
objects/Wall_Decor_Painting_3_68
Painting
Painting
objects/Wall_Decor_Photo_6_69
Painting
Painting
objects/Wall_Decor_Painting_8_70
Painting
Painting
objects/Wall_Decor_Photo_3V_71
Painting
Painting
objects/Wall_Decor_Photo_1V_72
Painting
Painting
objects/Wall_Decor_Photo_7_74
Painting
Painting
objects/Doorway_6_open_75
Doorway
Doorway
objects/Window_Hung_44x60_78
Window
Window
objects/Window_Slider_36x36_79
Window
Window
null
null
null
objects/pillow_18_0
Pillow
Pillow
objects/Laptop_18_1
Laptop
Laptop
objects/Cellphone_7_2
CellPhone
CellPhone
objects/Basketball_1_3
BasketBall
BasketBall
objects/RoboTHOR_bed_tarva_v_4
Bed
Bed
objects/Houseplant_3_5
HousePlant
HousePlant
objects/Vase_Tall_5_6
Vase
Vase
objects/Desk_Lamp_5_7
DeskLamp
DeskLamp
objects/Waving_Statue_1_8
Statue
Statue
objects/RoboTHOR_mug_ai2_1_v_9
Mug
Mug
objects/Pen_4_10
Pen
Pen
objects/Bowl_20_11
Bowl
Bowl
objects/Dining_Table_223_1_12
DiningTable
DiningTable
objects/RoboTHOR_chair_mella_13
Chair
Chair
objects/RoboTHOR_chair_mella_14
Chair
Chair
objects/RoboTHOR_chair_mella_15
Chair
Chair
objects/RoboTHOR_chair_mella_16
Chair
Chair
objects/Alarm_Clock_10_17
AlarmClock
AlarmClock
End of preview.

SpatialScout: data for reproducing the evaluation

This repository provides the scene resources and fixed task annotations needed to run the SpatialScout benchmark. It does not contain any model predictions, model trajectories, scores, token accounting, generated evaluation images, paper figures, or prior experiment outputs. The evaluator and environment installation instructions are in JesseZZZZZ/SpatialScout.

Benchmark

The main evaluation comprises 80 tasks and 3,140 target object instances: 24 iTHOR rooms, 12 RoboTHOR rooms, 8 ArchitecTHOR apartments, 6 ReplicaCAD apartments, and 30 ProcTHOR residential layouts. The two main batches are additional_50 and procthor_30, selected by the code's --batch prepared_80. The full catalog retains 10 additional development scenes (90 total).

The local scene resource cache can contain additional assets beyond the 80 tasks; the catalog and prepared-80 index, not a count of mesh files, define the benchmark. Object resources are shared across scenes. Mesh files do not each represent an independent task or target instance.

Layout

assets/                         Scene meshes, textures, configurations, robot assets
runtime/ManiSkill3/mani_skill/   Binary resources belonging to the pinned simulator
benchmark/scene_catalog.json   Full 90-scene configuration catalog
benchmark/prepared_80_index.json
benchmark/scenes/<scene>/ground_truth.json
benchmark/scenes/<scene>/entity_library.json
MANIFEST.json                   File sizes and SHA-256 checksums
THIRD_PARTY_NOTICES.md           Upstream source and license provenance
  • ground_truth.json: target IDs/categories/equivalence groups, geometric centers, render-geometry bounding boxes and initial camera transform; evaluation only.
  • entity_library.json: the target IDs/categories/groups available to the model; does not reveal target center coordinates.
  • scene_catalog.json: source scene IDs, builders, fixed initial camera poses, target counts and batch membership.
  • prepared_80_index.json: paths relative to this dataset repository and per-task metadata. These are reference task annotations, not model-run results.

Ground-truth source_file paths are normalized to the code root where possible. The reproduction run regenerates task-local GT from the simulator. The reference annotations make target selection and task definitions inspectable.

Use with the code

Download this entire repository, then run from the code repository root:

export SPATIALSCOUT_DATA=/absolute/path/to/SpatialScout
python3 scripts/attach_data.py "$SPATIALSCOUT_DATA"
RENDER_PYTHON=python3.10 bash setup_render_environment.sh

The code attaches assets/, simulator resources, and benchmark_data using symlinks. Keep the dataset at that location. See the code README for the model API configuration, the 100-turn evaluation command, and the eight IoU metrics. The directory is a simulator-resource collection, not a single rectangular Arrow/Parquet table; use a repository download rather than load_dataset.

Provenance and licensing

Scene sources are AI2-THOR/iTHOR, RoboTHOR, ArchitecTHOR, ProcTHOR and ReplicaCAD. Simulator resources come from the pinned ManiSkill3 source. Their respective upstream terms remain applicable; the project does not relicense them under a single new license. See THIRD_PARTY_NOTICES.md. No project-wide dataset license has been selected by this packaging step.

Code: https://github.com/JesseZZZZZ/SpatialScout

Dataset: https://huggingface.co/datasets/jessezhaoxizhang/SpatialScout

Add the paper citation when it is available.

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