Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
models_bert: struct<failed: struct<PyTorch: struct<unclassified: int64, single: int64, multi: int64>, TensorFlow: (... 749 chars omitted)
child 0, failed: struct<PyTorch: struct<unclassified: int64, single: int64, multi: int64>, TensorFlow: struct<unclass (... 585 chars omitted)
child 0, PyTorch: struct<unclassified: int64, single: int64, multi: int64>
child 0, unclassified: int64
child 1, single: int64
child 2, multi: int64
child 1, TensorFlow: struct<unclassified: int64, single: int64, multi: int64>
child 0, unclassified: int64
child 1, single: int64
child 2, multi: int64
child 2, Flax: struct<unclassified: int64, single: int64, multi: int64>
child 0, unclassified: int64
child 1, single: int64
child 2, multi: int64
child 3, Tokenizers: struct<unclassified: int64, single: int64, multi: int64>
child 0, unclassified: int64
child 1, single: int64
child 2, multi: int64
child 4, Pipelines: struct<unclassified: int64, single: int64, multi: int64>
child 0, unclassified: int64
child 1, single: int64
child 2, multi: int64
child 5, Trainer: struct<unclassified: int64, single: int64, multi: int64>
child 0, unclassified: int64
child 1, single: int64
child 2, multi: int64
child 6, ONNX: struct<unclassified: int64, single: int64, multi: int64>
child 0, unclassified: int64
child 1, single: int64
child 2, multi: int64
child 7, Auto: struct<unclassified: int64, single: int64, multi: int64>
child 0, unclassified: int64
child 1, single: int64
child 2, multi: int64
child 8, Quantization: struct<unclassified: int64, single: int64, multi: int64>
child 0, unclassified: int64
child 1, single: int64
child 2, multi: int64
child 9, Unclassified: struct<unclassified: int64, single: int64, multi: int64>
child 0, unclassified: int64
child 1, single: int64
child 2, multi: int64
child 1, errors: int64
child 2, success: int64
child 3, skipped: int64
child 4, time_spent: list<item: double>
child 0, item: double
child 5, failures: struct<>
child 6, job_link: struct<single: string, multi: string>
child 0, single: string
child 1, multi: string
bert: struct<single: string, multi: string>
child 0, single: string
child 1, multi: string
to
{'bert': {'single': Value('string'), 'multi': Value('string')}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 265, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 120, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
models_bert: struct<failed: struct<PyTorch: struct<unclassified: int64, single: int64, multi: int64>, TensorFlow: (... 749 chars omitted)
child 0, failed: struct<PyTorch: struct<unclassified: int64, single: int64, multi: int64>, TensorFlow: struct<unclass (... 585 chars omitted)
child 0, PyTorch: struct<unclassified: int64, single: int64, multi: int64>
child 0, unclassified: int64
child 1, single: int64
child 2, multi: int64
child 1, TensorFlow: struct<unclassified: int64, single: int64, multi: int64>
child 0, unclassified: int64
child 1, single: int64
child 2, multi: int64
child 2, Flax: struct<unclassified: int64, single: int64, multi: int64>
child 0, unclassified: int64
child 1, single: int64
child 2, multi: int64
child 3, Tokenizers: struct<unclassified: int64, single: int64, multi: int64>
child 0, unclassified: int64
child 1, single: int64
child 2, multi: int64
child 4, Pipelines: struct<unclassified: int64, single: int64, multi: int64>
child 0, unclassified: int64
child 1, single: int64
child 2, multi: int64
child 5, Trainer: struct<unclassified: int64, single: int64, multi: int64>
child 0, unclassified: int64
child 1, single: int64
child 2, multi: int64
child 6, ONNX: struct<unclassified: int64, single: int64, multi: int64>
child 0, unclassified: int64
child 1, single: int64
child 2, multi: int64
child 7, Auto: struct<unclassified: int64, single: int64, multi: int64>
child 0, unclassified: int64
child 1, single: int64
child 2, multi: int64
child 8, Quantization: struct<unclassified: int64, single: int64, multi: int64>
child 0, unclassified: int64
child 1, single: int64
child 2, multi: int64
child 9, Unclassified: struct<unclassified: int64, single: int64, multi: int64>
child 0, unclassified: int64
child 1, single: int64
child 2, multi: int64
child 1, errors: int64
child 2, success: int64
child 3, skipped: int64
child 4, time_spent: list<item: double>
child 0, item: double
child 5, failures: struct<>
child 6, job_link: struct<single: string, multi: string>
child 0, single: string
child 1, multi: string
bert: struct<single: string, multi: string>
child 0, single: string
child 1, multi: string
to
{'bert': {'single': Value('string'), 'multi': Value('string')}}
because column names don't matchNeed 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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