Datasets:

---

lss727

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dl3dv-eva-test1-edited

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
completed: list<item: string>
  child 0, item: string
skipped: list<item: struct<stage: string, reason: string>>
  child 0, item: struct<stage: string, reason: string>
      child 0, stage: string
      child 1, reason: string
enable_semantic: bool
failed: list<item: null>
  child 0, item: null
root: string
results: list<item: struct<scene: string, video: string, video_name: string, instruction: string, filtered_vi (... 327 chars omitted)
  child 0, item: struct<scene: string, video: string, video_name: string, instruction: string, filtered_video: string (... 315 chars omitted)
      child 0, scene: string
      child 1, video: string
      child 2, video_name: string
      child 3, instruction: string
      child 4, filtered_video: string
      child 5, synced_source_video: string
      child 6, frame_report: string
      child 7, semantic_report: string
      child 8, total_frames: int64
      child 9, kept_frames: int64
      child 10, dropped_frames: int64
      child 11, kept_ratio: double
      child 12, keep_indices: list<item: int64>
          child 0, item: int64
      child 13, drop_indices: list<item: int64>
          child 0, item: int64
      child 14, semantic_score: double
      child 15, semantic_pass: bool
      child 16, final_score: double
      child 17, recommend_drop: bool
scenes: list<item: string>
  child 0, item: string
to
{'root': Value('string'), 'scenes': List(Value('string')), 'enable_semantic': Value('bool'), 'results': List({'scene': Value('string'), 'video': Value('string'), 'video_name': Value('string'), 'instruction': Value('string'), 'filtered_video': Value('string'), 'synced_source_video': Value('string'), 'frame_report': Value('string'), 'semantic_report': Value('string'), 'total_frames': Value('int64'), 'kept_frames': Value('int64'), 'dropped_frames': Value('int64'), 'kept_ratio': Value('float64'), 'keep_indices': List(Value('int64')), 'drop_indices': List(Value('int64')), 'semantic_score': Value('float64'), 'semantic_pass': Value('bool'), 'final_score': Value('float64'), 'recommend_drop': Value('bool')}), 'failed': List(Value('null'))}
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 295, 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
              completed: list<item: string>
                child 0, item: string
              skipped: list<item: struct<stage: string, reason: string>>
                child 0, item: struct<stage: string, reason: string>
                    child 0, stage: string
                    child 1, reason: string
              enable_semantic: bool
              failed: list<item: null>
                child 0, item: null
              root: string
              results: list<item: struct<scene: string, video: string, video_name: string, instruction: string, filtered_vi (... 327 chars omitted)
                child 0, item: struct<scene: string, video: string, video_name: string, instruction: string, filtered_video: string (... 315 chars omitted)
                    child 0, scene: string
                    child 1, video: string
                    child 2, video_name: string
                    child 3, instruction: string
                    child 4, filtered_video: string
                    child 5, synced_source_video: string
                    child 6, frame_report: string
                    child 7, semantic_report: string
                    child 8, total_frames: int64
                    child 9, kept_frames: int64
                    child 10, dropped_frames: int64
                    child 11, kept_ratio: double
                    child 12, keep_indices: list<item: int64>
                        child 0, item: int64
                    child 13, drop_indices: list<item: int64>
                        child 0, item: int64
                    child 14, semantic_score: double
                    child 15, semantic_pass: bool
                    child 16, final_score: double
                    child 17, recommend_drop: bool
              scenes: list<item: string>
                child 0, item: string
              to
              {'root': Value('string'), 'scenes': List(Value('string')), 'enable_semantic': Value('bool'), 'results': List({'scene': Value('string'), 'video': Value('string'), 'video_name': Value('string'), 'instruction': Value('string'), 'filtered_video': Value('string'), 'synced_source_video': Value('string'), 'frame_report': Value('string'), 'semantic_report': Value('string'), 'total_frames': Value('int64'), 'kept_frames': Value('int64'), 'dropped_frames': Value('int64'), 'kept_ratio': Value('float64'), 'keep_indices': List(Value('int64')), 'drop_indices': List(Value('int64')), 'semantic_score': Value('float64'), 'semantic_pass': Value('bool'), 'final_score': Value('float64'), 'recommend_drop': Value('bool')}), 'failed': List(Value('null'))}
              because column names don't match