Datasets:

---

aletcher

/

wmdp-llama-unlearn

like 0

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
wmdp_cyber: list<item: struct<acc: double, arguments: list<item: list<item: string>>, doc: struct<answer: int64, choices: list<item: string>, question: string>, doc_hash: string, doc_id: int64, filter: string, filtered_resps: list<item: list<item: double>>, metrics: list<item: string>, prompt_hash: string, resps: list<item: list<item: list<item: double>>>, target: int64, target_hash: string>>
vs
wmdp_cyber/acc: double
wmdp_cyber/acc_stderr: double
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3496, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2257, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 563, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              wmdp_cyber: list<item: struct<acc: double, arguments: list<item: list<item: string>>, doc: struct<answer: int64, choices: list<item: string>, question: string>, doc_hash: string, doc_id: int64, filter: string, filtered_resps: list<item: list<item: double>>, metrics: list<item: string>, prompt_hash: string, resps: list<item: list<item: list<item: double>>>, target: int64, target_hash: string>>
              vs
              wmdp_cyber/acc: double
              wmdp_cyber/acc_stderr: double