Datasets:

---

MoshinAli

/

skill-gap-cpu-verification

Like 0

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
corpus: string
lexical_coverage: double
lexical_ci: string
semantic_coverage_tau0.5: double
semantic_ci: string
mean_best_cosine: double
vs
matcher: string
tau: double
accuracy: double
acc_ci_lo: double
acc_ci_hi: double
precision: double
recall: double
f1: double
kappa: double
kappa_ci_lo: double
kappa_ci_hi: double
auc: double
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4523, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2768, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2972, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2483, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 591, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5012, 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
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              corpus: string
              lexical_coverage: double
              lexical_ci: string
              semantic_coverage_tau0.5: double
              semantic_ci: string
              mean_best_cosine: double
              vs
              matcher: string
              tau: double
              accuracy: double
              acc_ci_lo: double
              acc_ci_hi: double
              precision: double
              recall: double
              f1: double
              kappa: double
              kappa_ci_lo: double
              kappa_ci_hi: double
              auc: double