Datasets:

---

Pjzno

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localization

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
version: int64
projectId: string
runId: string
sourceHash: string
taskId: string
category: string
model: string
rowIndexes: list<item: int64>
  child 0, item: int64
translations: list<item: struct<index: int64, translation: string>>
  child 0, item: struct<index: int64, translation: string>
      child 0, index: int64
      child 1, translation: string
complete: bool
updatedAt: string
entries: list<item: struct<id: int64, category: string, terms: list<item: struct<source: string, target: stri (... 20 chars omitted)
  child 0, item: struct<id: int64, category: string, terms: list<item: struct<source: string, target: string, type: s (... 8 chars omitted)
      child 0, id: int64
      child 1, category: string
      child 2, terms: list<item: struct<source: string, target: string, type: string>>
          child 0, item: struct<source: string, target: string, type: string>
              child 0, source: string
              child 1, target: string
              child 2, type: string
to
{'version': Value('int64'), 'projectId': Value('string'), 'runId': Value('string'), 'sourceHash': Value('string'), 'model': Value('string'), 'entries': List({'id': Value('int64'), 'category': Value('string'), 'terms': List({'source': Value('string'), 'target': Value('string'), 'type': Value('string')})}), 'complete': Value('bool'), 'updatedAt': 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
              version: int64
              projectId: string
              runId: string
              sourceHash: string
              taskId: string
              category: string
              model: string
              rowIndexes: list<item: int64>
                child 0, item: int64
              translations: list<item: struct<index: int64, translation: string>>
                child 0, item: struct<index: int64, translation: string>
                    child 0, index: int64
                    child 1, translation: string
              complete: bool
              updatedAt: string
              entries: list<item: struct<id: int64, category: string, terms: list<item: struct<source: string, target: stri (... 20 chars omitted)
                child 0, item: struct<id: int64, category: string, terms: list<item: struct<source: string, target: string, type: s (... 8 chars omitted)
                    child 0, id: int64
                    child 1, category: string
                    child 2, terms: list<item: struct<source: string, target: string, type: string>>
                        child 0, item: struct<source: string, target: string, type: string>
                            child 0, source: string
                            child 1, target: string
                            child 2, type: string
              to
              {'version': Value('int64'), 'projectId': Value('string'), 'runId': Value('string'), 'sourceHash': Value('string'), 'model': Value('string'), 'entries': List({'id': Value('int64'), 'category': Value('string'), 'terms': List({'source': Value('string'), 'target': Value('string'), 'type': Value('string')})}), 'complete': Value('bool'), 'updatedAt': Value('string')}
              because column names don't match