Datasets:

---

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SkillWBench-Rain

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Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
id: string
environment_prompt: string
character_prompt: string
perspective_prompt: string
settings: struct<scene: struct<environment: string, attribute: string, name: string, category: string>, perspe (... 164 chars omitted)
  child 0, scene: struct<environment: string, attribute: string, name: string, category: string>
      child 0, environment: string
      child 1, attribute: string
      child 2, name: string
      child 3, category: string
  child 1, perspective: string
  child 2, subject: struct<type: string, desc: string, movement: string>
      child 0, type: string
      child 1, desc: string
      child 2, movement: string
  child 3, tracking_object: null
  child 4, initial_image: string
  child 5, style_new: string
  child 6, subject_mask: string
interactions: list<item: struct<type: string, action: string, turn: int64>>
  child 0, item: struct<type: string, action: string, turn: int64>
      child 0, type: string
      child 1, action: string
      child 2, turn: int64
nav_cate: string
scene_adherence: struct<visible_part: string, offscreen_part: string, visible_count: int64, offscreen_count: int64>
  child 0, visible_part: string
  child 1, offscreen_part: string
  child 2, visible_count: int64
  child 3, offscreen_count: int64
subject_adherence: struct<appearance_part: string, action_part: string>
  child 0, appearance_part: string
  child 1, action_part: string
metric_list: list<item: string>
  child 0, item: string
to
{'id': Value('string'), 'environment_prompt': Value('string'), 'character_prompt': Value('string'), 'perspective_prompt': Value('string'), 'settings': {'scene': {'environment': Value('string'), 'attribute': Value('string'), 'name': Value('string'), 'category': Value('string')}, 'perspective': Value('string'), 'subject': {'type': Value('string'), 'desc': Value('string')}, 'tracking_object': Value('null'), 'initial_image': Value('string'), 'style_new': Value('string'), 'subject_mask': Value('null')}, 'interactions': List({'type': Value('string'), 'action': Value('string'), 'turn': Value('int64')}), 'nav_cate': Value('string'), 'scene_adherence': {'visible_part': Value('string'), 'offscreen_part': Value('string'), 'visible_count': Value('int64'), 'offscreen_count': Value('int64')}, 'metric_list': List(Value('string'))}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 544, 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 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              id: string
              environment_prompt: string
              character_prompt: string
              perspective_prompt: string
              settings: struct<scene: struct<environment: string, attribute: string, name: string, category: string>, perspe (... 164 chars omitted)
                child 0, scene: struct<environment: string, attribute: string, name: string, category: string>
                    child 0, environment: string
                    child 1, attribute: string
                    child 2, name: string
                    child 3, category: string
                child 1, perspective: string
                child 2, subject: struct<type: string, desc: string, movement: string>
                    child 0, type: string
                    child 1, desc: string
                    child 2, movement: string
                child 3, tracking_object: null
                child 4, initial_image: string
                child 5, style_new: string
                child 6, subject_mask: string
              interactions: list<item: struct<type: string, action: string, turn: int64>>
                child 0, item: struct<type: string, action: string, turn: int64>
                    child 0, type: string
                    child 1, action: string
                    child 2, turn: int64
              nav_cate: string
              scene_adherence: struct<visible_part: string, offscreen_part: string, visible_count: int64, offscreen_count: int64>
                child 0, visible_part: string
                child 1, offscreen_part: string
                child 2, visible_count: int64
                child 3, offscreen_count: int64
              subject_adherence: struct<appearance_part: string, action_part: string>
                child 0, appearance_part: string
                child 1, action_part: string
              metric_list: list<item: string>
                child 0, item: string
              to
              {'id': Value('string'), 'environment_prompt': Value('string'), 'character_prompt': Value('string'), 'perspective_prompt': Value('string'), 'settings': {'scene': {'environment': Value('string'), 'attribute': Value('string'), 'name': Value('string'), 'category': Value('string')}, 'perspective': Value('string'), 'subject': {'type': Value('string'), 'desc': Value('string')}, 'tracking_object': Value('null'), 'initial_image': Value('string'), 'style_new': Value('string'), 'subject_mask': Value('null')}, 'interactions': List({'type': Value('string'), 'action': Value('string'), 'turn': Value('int64')}), 'nav_cate': Value('string'), 'scene_adherence': {'visible_part': Value('string'), 'offscreen_part': Value('string'), 'visible_count': Value('int64'), 'offscreen_count': Value('int64')}, 'metric_list': List(Value('string'))}
              because column names don't match