Datasets:

---

usr256864

/

sGm

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
img_id: string
wnd_id: string
image_filename: string
event: struct<event_id: string, event_type: string, arguments: list<item: struct<role: string, bbox: fixed_ (... 28 chars omitted)
  child 0, event_id: string
  child 1, event_type: string
  child 2, arguments: list<item: struct<role: string, bbox: fixed_size_list<item: int32>[4]>>
      child 0, item: struct<role: string, bbox: fixed_size_list<item: int32>[4]>
          child 0, role: string
          child 1, bbox: fixed_size_list<item: int32>[4]
              child 0, item: int32
events: list<item: struct<event_type: string, text: string, arguments: list<item: struct<role: string, text: (... 11 chars omitted)
  child 0, item: struct<event_type: string, text: string, arguments: list<item: struct<role: string, text: string>>>
      child 0, event_type: string
      child 1, text: string
      child 2, arguments: list<item: struct<role: string, text: string>>
          child 0, item: struct<role: string, text: string>
              child 0, role: string
              child 1, text: string
input_text: string
verb: string
verb_def: string
verb_abstract: string
verb_framenet: string
roles: list<item: string>
  child 0, item: string
role_defs: list<item: string>
  child 0, item: string
image_event_mention_raw: string
text_event_mention_raw: string
image: struct<bytes: binary, path: string>
  child 0, bytes: binary
  child 1, path: string
-- schema metadata --
huggingface: '{"info": {"features": {"img_id": {"dtype": "string", "_type' + 1280
to
{'doc_id': Value('string'), 'img_id': Value('string'), 'file': Value('string'), 'event': {'arguments': List({'bbox': List(Value('int64')), 'role': Value('string')}), 'event_id': Value('string'), 'event_type': Value('string')}, 'image': Image(mode=None, decode=True)}
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 478, 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 2815, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2377, 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/arrow/arrow.py", line 74, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ~~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/arrow/arrow.py", line 54, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              img_id: string
              wnd_id: string
              image_filename: string
              event: struct<event_id: string, event_type: string, arguments: list<item: struct<role: string, bbox: fixed_ (... 28 chars omitted)
                child 0, event_id: string
                child 1, event_type: string
                child 2, arguments: list<item: struct<role: string, bbox: fixed_size_list<item: int32>[4]>>
                    child 0, item: struct<role: string, bbox: fixed_size_list<item: int32>[4]>
                        child 0, role: string
                        child 1, bbox: fixed_size_list<item: int32>[4]
                            child 0, item: int32
              events: list<item: struct<event_type: string, text: string, arguments: list<item: struct<role: string, text: (... 11 chars omitted)
                child 0, item: struct<event_type: string, text: string, arguments: list<item: struct<role: string, text: string>>>
                    child 0, event_type: string
                    child 1, text: string
                    child 2, arguments: list<item: struct<role: string, text: string>>
                        child 0, item: struct<role: string, text: string>
                            child 0, role: string
                            child 1, text: string
              input_text: string
              verb: string
              verb_def: string
              verb_abstract: string
              verb_framenet: string
              roles: list<item: string>
                child 0, item: string
              role_defs: list<item: string>
                child 0, item: string
              image_event_mention_raw: string
              text_event_mention_raw: string
              image: struct<bytes: binary, path: string>
                child 0, bytes: binary
                child 1, path: string
              -- schema metadata --
              huggingface: '{"info": {"features": {"img_id": {"dtype": "string", "_type' + 1280
              to
              {'doc_id': Value('string'), 'img_id': Value('string'), 'file': Value('string'), 'event': {'arguments': List({'bbox': List(Value('int64')), 'role': Value('string')}), 'event_id': Value('string'), 'event_type': Value('string')}, 'image': Image(mode=None, decode=True)}
              because column names don't match