Datasets:

---

zkjzou

/

ManyICLBench

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
1k: list<element: string>
  child 0, element: string
Test Examples: list<element: string>
  child 0, element: string
2k: list<element: string>
  child 0, element: string
4k: list<element: string>
  child 0, element: string
8k: list<element: string>
  child 0, element: string
16k: list<element: string>
  child 0, element: string
32k: list<element: string>
  child 0, element: string
64k: list<element: string>
  child 0, element: string
128k: list<element: string>
  child 0, element: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1281
to
{'1k': Value(dtype='string', id=None), 'Test Data': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'Test Target': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), '2k': Value(dtype='string', id=None), '4k': Value(dtype='string', id=None), '8k': Value(dtype='string', id=None), '16k': Value(dtype='string', id=None), '32k': Value(dtype='string', id=None), '64k': Value(dtype='string', id=None), '128k': Value(dtype='string', 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 2226, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 299, 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 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 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
              1k: list<element: string>
                child 0, element: string
              Test Examples: list<element: string>
                child 0, element: string
              2k: list<element: string>
                child 0, element: string
              4k: list<element: string>
                child 0, element: string
              8k: list<element: string>
                child 0, element: string
              16k: list<element: string>
                child 0, element: string
              32k: list<element: string>
                child 0, element: string
              64k: list<element: string>
                child 0, element: string
              128k: list<element: string>
                child 0, element: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1281
              to
              {'1k': Value(dtype='string', id=None), 'Test Data': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'Test Target': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), '2k': Value(dtype='string', id=None), '4k': Value(dtype='string', id=None), '8k': Value(dtype='string', id=None), '16k': Value(dtype='string', id=None), '32k': Value(dtype='string', id=None), '64k': Value(dtype='string', id=None), '128k': Value(dtype='string', id=None)}
              because column names don't match