Datasets:

---

peercy

/

gemma-2b-it-implicit-refusal

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
interv_pair_info: struct<pair_id: string, source_sample_id: string, target_sample_id: string, source_category: string, (... 118 chars omitted)
  child 0, pair_id: string
  child 1, source_sample_id: string
  child 2, target_sample_id: string
  child 3, source_category: string
  child 4, target_category: string
  child 5, source_behavior: string
  child 6, target_behavior: string
  child 7, pair_type: string
  child 8, topic_relation: string
mode: string
patched_layer_scope: list<item: string>
  child 0, item: string
patched_token_scope: list<item: string>
  child 0, item: string
strategy_name: string
strategy_kwargs: struct<alpha: double>
  child 0, alpha: double
resp_start_text: string
gen_token_ids: list<item: int64>
  child 0, item: int64
gen_text: string
inst_text: string
behavior: string
input_token_ids: list<item: int64>
  child 0, item: int64
inst_len: int64
to
{'inst_text': Value('string'), 'resp_start_text': Value('string'), 'gen_text': Value('string'), 'input_token_ids': List(Value('int64')), 'gen_token_ids': List(Value('int64')), 'inst_len': Value('int64'), 'behavior': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                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 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              interv_pair_info: struct<pair_id: string, source_sample_id: string, target_sample_id: string, source_category: string, (... 118 chars omitted)
                child 0, pair_id: string
                child 1, source_sample_id: string
                child 2, target_sample_id: string
                child 3, source_category: string
                child 4, target_category: string
                child 5, source_behavior: string
                child 6, target_behavior: string
                child 7, pair_type: string
                child 8, topic_relation: string
              mode: string
              patched_layer_scope: list<item: string>
                child 0, item: string
              patched_token_scope: list<item: string>
                child 0, item: string
              strategy_name: string
              strategy_kwargs: struct<alpha: double>
                child 0, alpha: double
              resp_start_text: string
              gen_token_ids: list<item: int64>
                child 0, item: int64
              gen_text: string
              inst_text: string
              behavior: string
              input_token_ids: list<item: int64>
                child 0, item: int64
              inst_len: int64
              to
              {'inst_text': Value('string'), 'resp_start_text': Value('string'), 'gen_text': Value('string'), 'input_token_ids': List(Value('int64')), 'gen_token_ids': List(Value('int64')), 'inst_len': Value('int64'), 'behavior': Value('string')}
              because column names don't match