Datasets:

---

panzs19

/

S33-Qizhi

like 0

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
0: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
1: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
2: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
3: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
4: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
5: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
6: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
7: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
8: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
9: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
10: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
11: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
12: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
13: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
14: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
15: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
vs
0: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
1: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
2: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
3: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
4: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
5: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
6: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
7: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
8: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
9: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
10: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
11: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
12: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
13: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 246, 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 531, 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: 
              0: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              1: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              2: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              3: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              4: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              5: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              6: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              7: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              8: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              9: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              10: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              11: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              12: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              13: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              14: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              15: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              vs
              0: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              1: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              2: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              3: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              4: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              5: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              6: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              7: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              8: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              9: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              10: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              11: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              12: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>
              13: struct<origin_prompt: list<item: struct<role: string, prompt: string>>, prediction: string, gold: string>