Datasets:

---

sunweiwei

/

marl-runs-public

Like 0

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
text: list<item: double>
vs
task_id: string
submission_id: string
total_tests: int64
passed: int64
failed: int64
errors: int64
pass_rate: double
score: double
score_0_100: double
timed_out: bool
runtime_seconds: double
test_details: list<item: struct<name: string, status: string>>
valid: bool
summary: string
details: list<item: struct<name: string, status: string, message: null, score: null, weight: null>>
metrics: extension<arrow.json>
submitted_at: 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 4645, 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 2866, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3073, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2581, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 606, 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: 
              text: list<item: double>
              vs
              task_id: string
              submission_id: string
              total_tests: int64
              passed: int64
              failed: int64
              errors: int64
              pass_rate: double
              score: double
              score_0_100: double
              timed_out: bool
              runtime_seconds: double
              test_details: list<item: struct<name: string, status: string>>
              valid: bool
              summary: string
              details: list<item: struct<name: string, status: string, message: null, score: null, weight: null>>
              metrics: extension<arrow.json>
              submitted_at: double