Datasets:

---

Ji-Pengliang

/

Marble-2-task

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
type: string
question: string
answer: string
camera_name: string
camera_position: list<item: double>
  child 0, item: double
camera_look_at: list<item: double>
  child 0, item: double
object: struct<label: string, id: string, centroid: list<item: double>, depth: double, width: double, length (... 25 chars omitted)
  child 0, label: string
  child 1, id: string
  child 2, centroid: list<item: double>
      child 0, item: double
  child 3, depth: double
  child 4, width: double
  child 5, length: double
  child 6, height: double
scene_id: string
layout_path: null
image_path: string
blue: struct<circle_color: string, label: string, id: string, centroid: list<item: double>, distance_to_ca (... 60 chars omitted)
  child 0, circle_color: string
  child 1, label: string
  child 2, id: string
  child 3, centroid: list<item: double>
      child 0, item: double
  child 4, distance_to_camera: double
  child 5, width: double
  child 6, length: double
  child 7, height: double
red: struct<circle_color: string, label: string, id: string, centroid: list<item: double>, distance_to_ca (... 60 chars omitted)
  child 0, circle_color: string
  child 1, label: string
  child 2, id: string
  child 3, centroid: list<item: double>
      child 0, item: double
  child 4, distance_to_camera: double
  child 5, width: double
  child 6, length: double
  child 7, height: double
choices: list<item: string>
  child 0, item: string
to
{'type': Value('string'), 'question': Value('string'), 'choices': List(Value('string')), 'answer': Value('string'), 'camera_name': Value('string'), 'camera_position': List(Value('float64')), 'camera_look_at': List(Value('float64')), 'blue': {'circle_color': Value('string'), 'label': Value('string'), 'id': Value('string'), 'centroid': List(Value('float64')), 'distance_to_camera': Value('float64'), 'width': Value('float64'), 'length': Value('float64'), 'height': Value('float64')}, 'red': {'circle_color': Value('string'), 'label': Value('string'), 'id': Value('string'), 'centroid': List(Value('float64')), 'distance_to_camera': Value('float64'), 'width': Value('float64'), 'length': Value('float64'), 'height': Value('float64')}, 'scene_id': Value('string'), 'layout_path': Value('null'), 'image_path': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 289, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 124, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              type: string
              question: string
              answer: string
              camera_name: string
              camera_position: list<item: double>
                child 0, item: double
              camera_look_at: list<item: double>
                child 0, item: double
              object: struct<label: string, id: string, centroid: list<item: double>, depth: double, width: double, length (... 25 chars omitted)
                child 0, label: string
                child 1, id: string
                child 2, centroid: list<item: double>
                    child 0, item: double
                child 3, depth: double
                child 4, width: double
                child 5, length: double
                child 6, height: double
              scene_id: string
              layout_path: null
              image_path: string
              blue: struct<circle_color: string, label: string, id: string, centroid: list<item: double>, distance_to_ca (... 60 chars omitted)
                child 0, circle_color: string
                child 1, label: string
                child 2, id: string
                child 3, centroid: list<item: double>
                    child 0, item: double
                child 4, distance_to_camera: double
                child 5, width: double
                child 6, length: double
                child 7, height: double
              red: struct<circle_color: string, label: string, id: string, centroid: list<item: double>, distance_to_ca (... 60 chars omitted)
                child 0, circle_color: string
                child 1, label: string
                child 2, id: string
                child 3, centroid: list<item: double>
                    child 0, item: double
                child 4, distance_to_camera: double
                child 5, width: double
                child 6, length: double
                child 7, height: double
              choices: list<item: string>
                child 0, item: string
              to
              {'type': Value('string'), 'question': Value('string'), 'choices': List(Value('string')), 'answer': Value('string'), 'camera_name': Value('string'), 'camera_position': List(Value('float64')), 'camera_look_at': List(Value('float64')), 'blue': {'circle_color': Value('string'), 'label': Value('string'), 'id': Value('string'), 'centroid': List(Value('float64')), 'distance_to_camera': Value('float64'), 'width': Value('float64'), 'length': Value('float64'), 'height': Value('float64')}, 'red': {'circle_color': Value('string'), 'label': Value('string'), 'id': Value('string'), 'centroid': List(Value('float64')), 'distance_to_camera': Value('float64'), 'width': Value('float64'), 'length': Value('float64'), 'height': Value('float64')}, 'scene_id': Value('string'), 'layout_path': Value('null'), 'image_path': Value('string')}
              because column names don't match