Datasets:

---

hf-internal-testing

/

transformers_daily_ci_with_torch_nightly

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Hugging Face Internal Testing Organization 128

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
vit: struct<>
vs
models_vit: struct<failed: struct<PyTorch: struct<unclassified: int64, single: int64, multi: int64>, TensorFlow: struct<unclassified: int64, single: int64, multi: int64>, Flax: struct<unclassified: int64, single: int64, multi: int64>, Tokenizers: struct<unclassified: int64, single: int64, multi: int64>, Pipelines: struct<unclassified: int64, single: int64, multi: int64>, Trainer: struct<unclassified: int64, single: int64, multi: int64>, ONNX: struct<unclassified: int64, single: int64, multi: int64>, Auto: struct<unclassified: int64, single: int64, multi: int64>, Quantization: struct<unclassified: int64, single: int64, multi: int64>, Unclassified: struct<unclassified: int64, single: int64, multi: int64>>, errors: int64, success: int64, skipped: int64, time_spent: list<item: null>, failures: struct<>, job_link: struct<>>
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3422, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2187, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2391, in iter
                  for key, example in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1904, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 559, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                File "pyarrow/table.pxi", line 4116, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              vit: struct<>
              vs
              models_vit: struct<failed: struct<PyTorch: struct<unclassified: int64, single: int64, multi: int64>, TensorFlow: struct<unclassified: int64, single: int64, multi: int64>, Flax: struct<unclassified: int64, single: int64, multi: int64>, Tokenizers: struct<unclassified: int64, single: int64, multi: int64>, Pipelines: struct<unclassified: int64, single: int64, multi: int64>, Trainer: struct<unclassified: int64, single: int64, multi: int64>, ONNX: struct<unclassified: int64, single: int64, multi: int64>, Auto: struct<unclassified: int64, single: int64, multi: int64>, Quantization: struct<unclassified: int64, single: int64, multi: int64>, Unclassified: struct<unclassified: int64, single: int64, multi: int64>>, errors: int64, success: int64, skipped: int64, time_spent: list<item: null>, failures: struct<>, job_link: struct<>>