Datasets:

---

programmer-666

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Qwen3.6-35B-A3B-oQ8-mtp_mtp-on-performance-results

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Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
Batch: string
tg TPS: double
Speedup: string
pp TPS: double
pp TPS/req: double
TTFT(ms): double
E2E(s): double
vs
Test: string
TTFT(ms): double
TPOT(ms): double
pp TPS: double
tg TPS: double
E2E(s): double
Throughput: double
Peak Mem: double
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, 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 4379, 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 2661, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2839, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 580, 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
                  return check_status(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: 
              Batch: string
              tg TPS: double
              Speedup: string
              pp TPS: double
              pp TPS/req: double
              TTFT(ms): double
              E2E(s): double
              vs
              Test: string
              TTFT(ms): double
              TPOT(ms): double
              pp TPS: double
              tg TPS: double
              E2E(s): double
              Throughput: double
              Peak Mem: double