Datasets:

---

idegen

/

csts

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
subject_id: string
clustering_desc: string
id: int64
start idx: int64
end idx: int64
length: int64
cluster_id: int64
correlation to model: string
correlation achieved: string
correlation achieved with tolerance: string
MAE: double
relaxed MAE: double
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 1558
to
{'subject_id': Value(dtype='string', id=None), 'cluster_desc': Value(dtype='string', id=None), 'id': Value(dtype='int32', id=None), 'start idx': Value(dtype='int32', id=None), 'end idx': Value(dtype='int32', id=None), 'length': Value(dtype='int32', id=None), 'cluster_id': Value(dtype='int32', id=None), 'correlation to model': Value(dtype='string', id=None), 'correlation achieved': Value(dtype='string', id=None), 'correlation achieved with tolerance': Value(dtype='string', id=None), 'MAE': Value(dtype='float32', id=None), 'relaxed MAE': Value(dtype='float32', 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 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 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
              subject_id: string
              clustering_desc: string
              id: int64
              start idx: int64
              end idx: int64
              length: int64
              cluster_id: int64
              correlation to model: string
              correlation achieved: string
              correlation achieved with tolerance: string
              MAE: double
              relaxed MAE: double
              -- schema metadata --
              pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 1558
              to
              {'subject_id': Value(dtype='string', id=None), 'cluster_desc': Value(dtype='string', id=None), 'id': Value(dtype='int32', id=None), 'start idx': Value(dtype='int32', id=None), 'end idx': Value(dtype='int32', id=None), 'length': Value(dtype='int32', id=None), 'cluster_id': Value(dtype='int32', id=None), 'correlation to model': Value(dtype='string', id=None), 'correlation achieved': Value(dtype='string', id=None), 'correlation achieved with tolerance': Value(dtype='string', id=None), 'MAE': Value(dtype='float32', id=None), 'relaxed MAE': Value(dtype='float32', id=None)}
              because column names don't match