Datasets:

---

Mickey27tsing

/

deform360_reconstruction

like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
schema: string
tetmesh: string
newton_version: string
warp_version: string
device: string
steps: int64
dt_s: double
solver_iterations: int64
particle_count: int64
tetrahedron_count: int64
finite: bool
maximum_displacement_m: double
mean_displacement_m: double
placeholder_material_only: struct<density_kg_m3: double, k_mu_pa: double, k_lambda_pa: double, k_damp: double>
  child 0, density_kg_m3: double
  child 1, k_mu_pa: double
  child 2, k_lambda_pa: double
  child 3, k_damp: double
passed: bool
rest_scores: list<item: struct<frame: int64, median_speed_m_s: double, p95_speed_m_s: double>>
  child 0, item: struct<frame: int64, median_speed_m_s: double, p95_speed_m_s: double>
      child 0, frame: int64
      child 1, median_speed_m_s: double
      child 2, p95_speed_m_s: double
rest_bbox_min_m: list<item: double>
  child 0, item: double
rest_bbox_diagonal_m: double
rest_bbox_max_m: list<item: double>
  child 0, item: double
source_episode: string
fps: double
gripper_count: int64
output_sha256: string
common_timeline_rule: string
object_name: string
output: string
contact_source: string
frame_count: int64
contact_start: int64
camera_count: int64
controller_points: string
point_count: int64
robot_input: string
episode_index: int64
contact_end: int64
rest_selection_window: list<item: int64>
  child 0, item: int64
rendered_urdf_available: bool
rest_frame: int64
to
{'schema': Value('string'), 'source_episode': Value('string'), 'output': Value('string'), 'output_sha256': Value('string'), 'object_name': Value('string'), 'episode_index': Value('int64'), 'frame_count': Value('int64'), 'point_count': Value('int64'), 'camera_count': Value('int64'), 'gripper_count': Value('int64'), 'fps': Value('float64'), 'contact_source': Value('string'), 'contact_start': Value('int64'), 'contact_end': Value('int64'), 'rest_selection_window': List(Value('int64')), 'rest_frame': Value('int64'), 'rest_scores': List({'frame': Value('int64'), 'median_speed_m_s': Value('float64'), 'p95_speed_m_s': Value('float64')}), 'rest_bbox_min_m': List(Value('float64')), 'rest_bbox_max_m': List(Value('float64')), 'rest_bbox_diagonal_m': Value('float64'), 'common_timeline_rule': Value('string'), 'robot_input': Value('string'), 'controller_points': Value('string'), 'rendered_urdf_available': Value('bool')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                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 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
              schema: string
              tetmesh: string
              newton_version: string
              warp_version: string
              device: string
              steps: int64
              dt_s: double
              solver_iterations: int64
              particle_count: int64
              tetrahedron_count: int64
              finite: bool
              maximum_displacement_m: double
              mean_displacement_m: double
              placeholder_material_only: struct<density_kg_m3: double, k_mu_pa: double, k_lambda_pa: double, k_damp: double>
                child 0, density_kg_m3: double
                child 1, k_mu_pa: double
                child 2, k_lambda_pa: double
                child 3, k_damp: double
              passed: bool
              rest_scores: list<item: struct<frame: int64, median_speed_m_s: double, p95_speed_m_s: double>>
                child 0, item: struct<frame: int64, median_speed_m_s: double, p95_speed_m_s: double>
                    child 0, frame: int64
                    child 1, median_speed_m_s: double
                    child 2, p95_speed_m_s: double
              rest_bbox_min_m: list<item: double>
                child 0, item: double
              rest_bbox_diagonal_m: double
              rest_bbox_max_m: list<item: double>
                child 0, item: double
              source_episode: string
              fps: double
              gripper_count: int64
              output_sha256: string
              common_timeline_rule: string
              object_name: string
              output: string
              contact_source: string
              frame_count: int64
              contact_start: int64
              camera_count: int64
              controller_points: string
              point_count: int64
              robot_input: string
              episode_index: int64
              contact_end: int64
              rest_selection_window: list<item: int64>
                child 0, item: int64
              rendered_urdf_available: bool
              rest_frame: int64
              to
              {'schema': Value('string'), 'source_episode': Value('string'), 'output': Value('string'), 'output_sha256': Value('string'), 'object_name': Value('string'), 'episode_index': Value('int64'), 'frame_count': Value('int64'), 'point_count': Value('int64'), 'camera_count': Value('int64'), 'gripper_count': Value('int64'), 'fps': Value('float64'), 'contact_source': Value('string'), 'contact_start': Value('int64'), 'contact_end': Value('int64'), 'rest_selection_window': List(Value('int64')), 'rest_frame': Value('int64'), 'rest_scores': List({'frame': Value('int64'), 'median_speed_m_s': Value('float64'), 'p95_speed_m_s': Value('float64')}), 'rest_bbox_min_m': List(Value('float64')), 'rest_bbox_max_m': List(Value('float64')), 'rest_bbox_diagonal_m': Value('float64'), 'common_timeline_rule': Value('string'), 'robot_input': Value('string'), 'controller_points': Value('string'), 'rendered_urdf_available': Value('bool')}
              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 1880, 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