Datasets:

---

Andyson

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like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
cases: list<item: struct<action_label: string, camera_source_path: string, case_id: string, pose_path: stri (... 98 chars omitted)
  child 0, item: struct<action_label: string, camera_source_path: string, case_id: string, pose_path: string, role_en (... 86 chars omitted)
      child 0, action_label: string
      child 1, camera_source_path: string
      child 2, case_id: string
      child 3, pose_path: string
      child 4, role_en: string
      child 5, role_zh: string
      child 6, scene_index: int64
      child 7, scene_slug: string
      child 8, smoke_member: bool
switch_frame: int64
dataset_name: string
source_run: string
image_size: list<item: int64>
  child 0, item: int64
perspective: string
scene_count: int64
contains_camera_trajectories: bool
frames_per_video: int64
created_at: string
contains_training_outputs: bool
action_distribution: struct<blizzard_staff: int64, fireball: int64, jump: int64, lightning_orb: int64, summon_horse: int6 (... 2 chars omitted)
  child 0, blizzard_staff: int64
  child 1, fireball: int64
  child 2, jump: int64
  child 3, lightning_orb: int64
  child 4, summon_horse: int64
case_count: int64
contains_videos: bool
to
{'action_distribution': {'blizzard_staff': Value('int64'), 'fireball': Value('int64'), 'jump': Value('int64'), 'lightning_orb': Value('int64'), 'summon_horse': Value('int64')}, 'case_count': Value('int64'), 'contains_camera_trajectories': Value('bool'), 'contains_training_outputs': Value('bool'), 'contains_videos': Value('bool'), 'created_at': Value('string'), 'dataset_name': Value('string'), 'frames_per_video': Value('int64'), 'image_size': List(Value('int64')), 'perspective': Value('string'), 'scene_count': Value('int64'), 'source_run': Value('string'), 'switch_frame': Value('int64')}
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 299, 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 128, 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 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              cases: list<item: struct<action_label: string, camera_source_path: string, case_id: string, pose_path: stri (... 98 chars omitted)
                child 0, item: struct<action_label: string, camera_source_path: string, case_id: string, pose_path: string, role_en (... 86 chars omitted)
                    child 0, action_label: string
                    child 1, camera_source_path: string
                    child 2, case_id: string
                    child 3, pose_path: string
                    child 4, role_en: string
                    child 5, role_zh: string
                    child 6, scene_index: int64
                    child 7, scene_slug: string
                    child 8, smoke_member: bool
              switch_frame: int64
              dataset_name: string
              source_run: string
              image_size: list<item: int64>
                child 0, item: int64
              perspective: string
              scene_count: int64
              contains_camera_trajectories: bool
              frames_per_video: int64
              created_at: string
              contains_training_outputs: bool
              action_distribution: struct<blizzard_staff: int64, fireball: int64, jump: int64, lightning_orb: int64, summon_horse: int6 (... 2 chars omitted)
                child 0, blizzard_staff: int64
                child 1, fireball: int64
                child 2, jump: int64
                child 3, lightning_orb: int64
                child 4, summon_horse: int64
              case_count: int64
              contains_videos: bool
              to
              {'action_distribution': {'blizzard_staff': Value('int64'), 'fireball': Value('int64'), 'jump': Value('int64'), 'lightning_orb': Value('int64'), 'summon_horse': Value('int64')}, 'case_count': Value('int64'), 'contains_camera_trajectories': Value('bool'), 'contains_training_outputs': Value('bool'), 'contains_videos': Value('bool'), 'created_at': Value('string'), 'dataset_name': Value('string'), 'frames_per_video': Value('int64'), 'image_size': List(Value('int64')), 'perspective': Value('string'), 'scene_count': Value('int64'), 'source_run': Value('string'), 'switch_frame': Value('int64')}
              because column names don't match