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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
file_name: string
height: int64
width: int64
image_id: int64
pan_seg_file_name: string
segments_info: list<item: struct<id: int64, category_id: int64, iscrowd: int64, isthing: int64, area: int64, score: (... 9 chars omitted)
  child 0, item: struct<id: int64, category_id: int64, iscrowd: int64, isthing: int64, area: int64, score: double>
      child 0, id: int64
      child 1, category_id: int64
      child 2, iscrowd: int64
      child 3, isthing: int64
      child 4, area: int64
      child 5, score: double
annotations: list<item: struct<bbox: list<item: int64>, bbox_mode: int64, category_id: int64, score: double>>
  child 0, item: struct<bbox: list<item: int64>, bbox_mode: int64, category_id: int64, score: double>
      child 0, bbox: list<item: int64>
          child 0, item: int64
      child 1, bbox_mode: int64
      child 2, category_id: int64
      child 3, score: double
thing_classes: list<item: string>
  child 0, item: string
stuff_classes: list<item: string>
  child 0, item: string
predicate_classes: list<item: string>
  child 0, item: string
data: list<item: struct<file_name: string, height: int64, width: int64, image_id: int64, pan_seg_file_name (... 247 chars omitted)
  child 0, item: struct<file_name: string, height: int64, width: int64, image_id: int64, pan_seg_file_name: string, s (... 235 chars omitted)
      child 0, file_name: string
      child 1, height: int64
      child 2, width: int64
      child 3, image_id: int64
      child 4, pan_seg_file_name: string
      child 5, segments_info: list<item: struct<id: int64, category_id: int64, iscrowd: int64, isthing: int64, area: int64, score: (... 9 chars omitted)
          child 0, item: struct<id: int64, category_id: int64, iscrowd: int64, isthing: int64, area: int64, score: double>
              child 0, id: int64
              child 1, category_id: int64
              child 2, iscrowd: int64
              child 3, isthing: int64
              child 4, area: int64
              child 5, score: double
      child 6, annotations: list<item: struct<bbox: list<item: int64>, bbox_mode: int64, category_id: int64, score: double>>
          child 0, item: struct<bbox: list<item: int64>, bbox_mode: int64, category_id: int64, score: double>
              child 0, bbox: list<item: int64>
                  child 0, item: int64
              child 1, bbox_mode: int64
              child 2, category_id: int64
              child 3, score: double
skipped: list<item: string>
  child 0, item: string
to
{'data': List({'file_name': Value('string'), 'height': Value('int64'), 'width': Value('int64'), 'image_id': Value('int64'), 'pan_seg_file_name': Value('string'), 'segments_info': List({'id': Value('int64'), 'category_id': Value('int64'), 'iscrowd': Value('int64'), 'isthing': Value('int64'), 'area': Value('int64'), 'score': Value('float64')}), 'annotations': List({'bbox': List(Value('int64')), 'bbox_mode': Value('int64'), 'category_id': Value('int64'), 'score': Value('float64')})}), 'skipped': List(Value('string')), 'thing_classes': List(Value('string')), 'stuff_classes': List(Value('string')), 'predicate_classes': List(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 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 2281, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              file_name: string
              height: int64
              width: int64
              image_id: int64
              pan_seg_file_name: string
              segments_info: list<item: struct<id: int64, category_id: int64, iscrowd: int64, isthing: int64, area: int64, score: (... 9 chars omitted)
                child 0, item: struct<id: int64, category_id: int64, iscrowd: int64, isthing: int64, area: int64, score: double>
                    child 0, id: int64
                    child 1, category_id: int64
                    child 2, iscrowd: int64
                    child 3, isthing: int64
                    child 4, area: int64
                    child 5, score: double
              annotations: list<item: struct<bbox: list<item: int64>, bbox_mode: int64, category_id: int64, score: double>>
                child 0, item: struct<bbox: list<item: int64>, bbox_mode: int64, category_id: int64, score: double>
                    child 0, bbox: list<item: int64>
                        child 0, item: int64
                    child 1, bbox_mode: int64
                    child 2, category_id: int64
                    child 3, score: double
              thing_classes: list<item: string>
                child 0, item: string
              stuff_classes: list<item: string>
                child 0, item: string
              predicate_classes: list<item: string>
                child 0, item: string
              data: list<item: struct<file_name: string, height: int64, width: int64, image_id: int64, pan_seg_file_name (... 247 chars omitted)
                child 0, item: struct<file_name: string, height: int64, width: int64, image_id: int64, pan_seg_file_name: string, s (... 235 chars omitted)
                    child 0, file_name: string
                    child 1, height: int64
                    child 2, width: int64
                    child 3, image_id: int64
                    child 4, pan_seg_file_name: string
                    child 5, segments_info: list<item: struct<id: int64, category_id: int64, iscrowd: int64, isthing: int64, area: int64, score: (... 9 chars omitted)
                        child 0, item: struct<id: int64, category_id: int64, iscrowd: int64, isthing: int64, area: int64, score: double>
                            child 0, id: int64
                            child 1, category_id: int64
                            child 2, iscrowd: int64
                            child 3, isthing: int64
                            child 4, area: int64
                            child 5, score: double
                    child 6, annotations: list<item: struct<bbox: list<item: int64>, bbox_mode: int64, category_id: int64, score: double>>
                        child 0, item: struct<bbox: list<item: int64>, bbox_mode: int64, category_id: int64, score: double>
                            child 0, bbox: list<item: int64>
                                child 0, item: int64
                            child 1, bbox_mode: int64
                            child 2, category_id: int64
                            child 3, score: double
              skipped: list<item: string>
                child 0, item: string
              to
              {'data': List({'file_name': Value('string'), 'height': Value('int64'), 'width': Value('int64'), 'image_id': Value('int64'), 'pan_seg_file_name': Value('string'), 'segments_info': List({'id': Value('int64'), 'category_id': Value('int64'), 'iscrowd': Value('int64'), 'isthing': Value('int64'), 'area': Value('int64'), 'score': Value('float64')}), 'annotations': List({'bbox': List(Value('int64')), 'bbox_mode': Value('int64'), 'category_id': Value('int64'), 'score': Value('float64')})}), 'skipped': List(Value('string')), 'thing_classes': List(Value('string')), 'stuff_classes': List(Value('string')), 'predicate_classes': List(Value('string'))}
              because column names don't match

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