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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
probe_types: list<item: string>
  child 0, item: string
probe_type: list<item: string>
  child 0, item: string
test_fraction: int64
seed: int64
layer_indices: list<item: int64>
  child 0, item: int64
extraction_meta: struct<model_id: string, adapter_name: string, num_prompts: int64, layer_indices: list<item: int64>, (... 174 chars omitted)
  child 0, model_id: string
  child 1, adapter_name: string
  child 2, num_prompts: int64
  child 3, layer_indices: list<item: int64>
      child 0, item: int64
  child 4, token_position: int64
  child 5, extraction_mode: string
  child 6, activation_scope: string
  child 7, max_new_tokens: int64
  child 8, seed: int64
  child 9, eval_shape: list<item: int64>
      child 0, item: int64
  child 10, deploy_shape: list<item: int64>
      child 0, item: int64
metrics: struct<>
index: int64
response: string
side: string
to
{'side': Value('string'), 'index': Value('int64'), 'response': Value('string')}
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 295, 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 2281, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              probe_types: list<item: string>
                child 0, item: string
              probe_type: list<item: string>
                child 0, item: string
              test_fraction: int64
              seed: int64
              layer_indices: list<item: int64>
                child 0, item: int64
              extraction_meta: struct<model_id: string, adapter_name: string, num_prompts: int64, layer_indices: list<item: int64>, (... 174 chars omitted)
                child 0, model_id: string
                child 1, adapter_name: string
                child 2, num_prompts: int64
                child 3, layer_indices: list<item: int64>
                    child 0, item: int64
                child 4, token_position: int64
                child 5, extraction_mode: string
                child 6, activation_scope: string
                child 7, max_new_tokens: int64
                child 8, seed: int64
                child 9, eval_shape: list<item: int64>
                    child 0, item: int64
                child 10, deploy_shape: list<item: int64>
                    child 0, item: int64
              metrics: struct<>
              index: int64
              response: string
              side: string
              to
              {'side': Value('string'), 'index': Value('int64'), 'response': Value('string')}
              because column names don't match

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