Datasets:

---

DDMAL-lab

/

CATDOES

Like 0

Follow

Distributed Digital Media Archives and Libraries Lab 14

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
folio: string
mode: string
image_width: int64
image_height: int64
lines: list<item: struct<label: string, bbox: list<item: int64>, polygon: list<item: list<item: int64>>, te (... 194 chars omitted)
  child 0, item: struct<label: string, bbox: list<item: int64>, polygon: list<item: list<item: int64>>, text: string, (... 182 chars omitted)
      child 0, label: string
      child 1, bbox: list<item: int64>
          child 0, item: int64
      child 2, polygon: list<item: list<item: int64>>
          child 0, item: list<item: int64>
              child 0, item: int64
      child 3, text: string
      child 4, words: list<item: struct<label: string, text: string, bbox: list<item: int64>, source: string, syllables: l (... 73 chars omitted)
          child 0, item: struct<label: string, text: string, bbox: list<item: int64>, source: string, syllables: list<item: s (... 61 chars omitted)
              child 0, label: string
              child 1, text: string
              child 2, bbox: list<item: int64>
                  child 0, item: int64
              child 3, source: string
              child 4, syllables: list<item: struct<label: string, text: string, bbox: list<item: int64>>>
                  child 0, item: struct<label: string, text: string, bbox: list<item: int64>>
                      child 0, label: string
                      child 1, text: string
                      child 2, bbox: list<item: int64>
                          child 0, item: int64
imageName: string
imageHeight: int64
imageWidth: int64
annotations: list<item: struct<id: string, classId: int64, bbox: list<item: double>, confidence: double, timestam (... 11 chars omitted)
  child 0, item: struct<id: string, classId: int64, bbox: list<item: double>, confidence: double, timestamp: string>
      child 0, id: string
      child 1, classId: int64
      child 2, bbox: list<item: double>
          child 0, item: double
      child 3, confidence: double
      child 4, timestamp: string
to
{'imageName': Value('string'), 'imageWidth': Value('int64'), 'imageHeight': Value('int64'), 'annotations': List({'id': Value('string'), 'classId': Value('int64'), 'bbox': List(Value('float64')), 'confidence': Value('float64'), 'timestamp': Value('string')})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 483, 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 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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 343, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              folio: string
              mode: string
              image_width: int64
              image_height: int64
              lines: list<item: struct<label: string, bbox: list<item: int64>, polygon: list<item: list<item: int64>>, te (... 194 chars omitted)
                child 0, item: struct<label: string, bbox: list<item: int64>, polygon: list<item: list<item: int64>>, text: string, (... 182 chars omitted)
                    child 0, label: string
                    child 1, bbox: list<item: int64>
                        child 0, item: int64
                    child 2, polygon: list<item: list<item: int64>>
                        child 0, item: list<item: int64>
                            child 0, item: int64
                    child 3, text: string
                    child 4, words: list<item: struct<label: string, text: string, bbox: list<item: int64>, source: string, syllables: l (... 73 chars omitted)
                        child 0, item: struct<label: string, text: string, bbox: list<item: int64>, source: string, syllables: list<item: s (... 61 chars omitted)
                            child 0, label: string
                            child 1, text: string
                            child 2, bbox: list<item: int64>
                                child 0, item: int64
                            child 3, source: string
                            child 4, syllables: list<item: struct<label: string, text: string, bbox: list<item: int64>>>
                                child 0, item: struct<label: string, text: string, bbox: list<item: int64>>
                                    child 0, label: string
                                    child 1, text: string
                                    child 2, bbox: list<item: int64>
                                        child 0, item: int64
              imageName: string
              imageHeight: int64
              imageWidth: int64
              annotations: list<item: struct<id: string, classId: int64, bbox: list<item: double>, confidence: double, timestam (... 11 chars omitted)
                child 0, item: struct<id: string, classId: int64, bbox: list<item: double>, confidence: double, timestamp: string>
                    child 0, id: string
                    child 1, classId: int64
                    child 2, bbox: list<item: double>
                        child 0, item: double
                    child 3, confidence: double
                    child 4, timestamp: string
              to
              {'imageName': Value('string'), 'imageWidth': Value('int64'), 'imageHeight': Value('int64'), 'annotations': List({'id': Value('string'), 'classId': Value('int64'), 'bbox': List(Value('float64')), 'confidence': Value('float64'), 'timestamp': Value('string')})}
              because column names don't match