Datasets:

---

embedding-benchmark

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ClosedDataset_10

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Retrieval Embedding Benchmark 4

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
RTEB_GermanHealthcare1_q_0: struct<RTEB_GermanHealthcare1_d_0: int64>
  child 0, RTEB_GermanHealthcare1_d_0: int64
RTEB_GermanHealthcare1_q_1: struct<RTEB_GermanHealthcare1_d_1: int64>
  child 0, RTEB_GermanHealthcare1_d_1: int64
RTEB_GermanHealthcare1_q_2: struct<RTEB_GermanHealthcare1_d_2: int64>
  child 0, RTEB_GermanHealthcare1_d_2: int64
RTEB_GermanHealthcare1_q_3: struct<RTEB_GermanHealthcare1_d_3: int64>
  child 0, RTEB_GermanHealthcare1_d_3: int64
RTEB_GermanHealthcare1_q_4: struct<RTEB_GermanHealthcare1_d_4: int64>
  child 0, RTEB_GermanHealthcare1_d_4: int64
query-id: null
corpus-id: null
score: null
to
{'query-id': Value('string'), 'corpus-id': Value('string'), 'score': Value('float64')}
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2361, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1914, in _iter_arrow
                  pa_table = cast_table_to_features(pa_table, self.features)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2192, in cast_table_to_features
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              RTEB_GermanHealthcare1_q_0: struct<RTEB_GermanHealthcare1_d_0: int64>
                child 0, RTEB_GermanHealthcare1_d_0: int64
              RTEB_GermanHealthcare1_q_1: struct<RTEB_GermanHealthcare1_d_1: int64>
                child 0, RTEB_GermanHealthcare1_d_1: int64
              RTEB_GermanHealthcare1_q_2: struct<RTEB_GermanHealthcare1_d_2: int64>
                child 0, RTEB_GermanHealthcare1_d_2: int64
              RTEB_GermanHealthcare1_q_3: struct<RTEB_GermanHealthcare1_d_3: int64>
                child 0, RTEB_GermanHealthcare1_d_3: int64
              RTEB_GermanHealthcare1_q_4: struct<RTEB_GermanHealthcare1_d_4: int64>
                child 0, RTEB_GermanHealthcare1_d_4: int64
              query-id: null
              corpus-id: null
              score: null
              to
              {'query-id': Value('string'), 'corpus-id': Value('string'), 'score': Value('float64')}
              because column names don't match