Datasets:

---

chiffonng

/

en-vocab-mnemonic-examples

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
term: string
mnemonic: string
linguistic_reasoning: string
main_type: int64
sub_type: int64
-- schema metadata --
huggingface: '{"info": {"features": {"term": {"dtype": "string", "_type":' + 425
to
{'term': Value(dtype='string', id=None), 'mnemonic': Value(dtype='string', id=None), 'reasoning': Value(dtype='string', id=None), 'linguistic_feature': ClassLabel(names=['phonetics', 'orthography', 'etymology', 'morphology', 'semantic-field', 'context', 'unknown', None], 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 271, 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 2266, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, 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 1879, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 323, in _iter_arrow
                  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 106, 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 73, 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 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              term: string
              mnemonic: string
              linguistic_reasoning: string
              main_type: int64
              sub_type: int64
              -- schema metadata --
              huggingface: '{"info": {"features": {"term": {"dtype": "string", "_type":' + 425
              to
              {'term': Value(dtype='string', id=None), 'mnemonic': Value(dtype='string', id=None), 'reasoning': Value(dtype='string', id=None), 'linguistic_feature': ClassLabel(names=['phonetics', 'orthography', 'etymology', 'morphology', 'semantic-field', 'context', 'unknown', None], id=None)}
              because column names don't match