Datasets:

haihui

/

different-format

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
sentence1: string
sentence2: string
label: int64
idx: int32
-- schema metadata --
huggingface: '{"info": {"features": {"sentence1": {"dtype": "string", "_t' + 191
to
{'text': Value(dtype='string', id=None), 'doc_score': Value(dtype='float64', id=None), 'should_keep': Value(dtype='int32', id=None)}
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 197, 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 2093, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 279, in __iter__
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 93, in _generate_tables
                  yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 71, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              sentence1: string
              sentence2: string
              label: int64
              idx: int32
              -- schema metadata --
              huggingface: '{"info": {"features": {"sentence1": {"dtype": "string", "_t' + 191
              to
              {'text': Value(dtype='string', id=None), 'doc_score': Value(dtype='float64', id=None), 'should_keep': Value(dtype='int32', id=None)}
              because column names don't match