Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ArrowInvalid
Message: Schema at index 1 was different:
bert: struct<single: string, multi: string>
vs
models_bert: 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: double>, failures: struct<>, job_link: struct<single: string, multi: string>>
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 "/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:
bert: struct<single: string, multi: string>
vs
models_bert: 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: double>, failures: struct<>, job_link: struct<single: string, multi: string>>Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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