Datasets:

---

alwaysgood

/

scp-stage4-oneshot-input

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
bleu: double
chrf: double
dataset: string
eval_dataset: string
id: string
metadata: struct<>
mt: string
reference: string
row_id: string
source: string
xcomet: double
artifact_path_rows: string
run_id: string
xcomet_mean: double
config_hash: string
bleu_mean: double
rows: int64
subset_idx: int64
metrics: list<item: string>
  child 0, item: string
chrf_mean: double
to
{'artifact_path_rows': Value('string'), 'bleu_mean': Value('float64'), 'chrf_mean': Value('float64'), 'config_hash': Value('string'), 'dataset': Value('string'), 'metrics': List(Value('string')), 'rows': Value('int64'), 'run_id': Value('string'), 'subset_idx': Value('int64'), 'xcomet_mean': 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 "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              bleu: double
              chrf: double
              dataset: string
              eval_dataset: string
              id: string
              metadata: struct<>
              mt: string
              reference: string
              row_id: string
              source: string
              xcomet: double
              artifact_path_rows: string
              run_id: string
              xcomet_mean: double
              config_hash: string
              bleu_mean: double
              rows: int64
              subset_idx: int64
              metrics: list<item: string>
                child 0, item: string
              chrf_mean: double
              to
              {'artifact_path_rows': Value('string'), 'bleu_mean': Value('float64'), 'chrf_mean': Value('float64'), 'config_hash': Value('string'), 'dataset': Value('string'), 'metrics': List(Value('string')), 'rows': Value('int64'), 'run_id': Value('string'), 'subset_idx': Value('int64'), 'xcomet_mean': Value('float64')}
              because column names don't match