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
dataset: string
descricao: string
observacao: string
categorias: struct<distraction: list<item: struct<id: string, original_id: string, category: string, source_data (... 1698 chars omitted)
child 0, distraction: list<item: struct<id: string, original_id: string, category: string, source_dataset: string, perturb (... 181 chars omitted)
child 0, item: struct<id: string, original_id: string, category: string, source_dataset: string, perturbation_type: (... 169 chars omitted)
child 0, id: string
child 1, original_id: string
child 2, category: string
child 3, source_dataset: string
child 4, perturbation_type: string
child 5, pass_conditions: list<item: string>
child 0, item: string
child 6, fail_conditions: list<item: string>
child 0, item: string
child 7, metadata: struct<language: string, source_dataset: string>
child 0, language: string
child 1, source_dataset: string
child 8, prompt_imperativo: string
child 1, harmful: list<item: struct<id: string, original_id: string, category: string, source_dataset: string, perturb (... 181 chars omitted)
child 0, item: struct<id: string, original_id: string, category: string, source_dataset: string, perturbation_type: (... 169 chars omitted)
child 0, id: string
child 1, original_id: string
child 2, category: string
child 3, source_dataset:
...
child 0, id: string
child 1, original_id: string
child 2, category: string
child 3, source_dataset: string
child 4, perturbation_type: string
child 5, pass_conditions: list<item: string>
child 0, item: string
child 6, fail_conditions: list<item: string>
child 0, item: string
child 7, metadata: struct<language: string, source_dataset: string>
child 0, language: string
child 1, source_dataset: string
child 8, prompt_imperativo: string
child 5, social_bias: list<item: struct<id: string, original_id: string, category: string, source_dataset: string, perturb (... 206 chars omitted)
child 0, item: struct<id: string, original_id: string, category: string, source_dataset: string, perturbation_type: (... 194 chars omitted)
child 0, id: string
child 1, original_id: string
child 2, category: string
child 3, source_dataset: string
child 4, perturbation_type: string
child 5, pass_conditions: list<item: string>
child 0, item: string
child 6, fail_conditions: list<item: string>
child 0, item: string
child 7, metadata: struct<language: string, source_dataset: string>
child 0, language: string
child 1, source_dataset: string
child 8, prompt_imperativo: string
child 9, referencia_nist: string
to
{'dataset': Value('string'), 'descricao': Value('string'), 'categorias': {'distraction': List({'id': Value('string'), 'prompt': Value('string'), 'pass_conditions': List(Value('string')), 'fail_conditions': List(Value('string'))}), 'harmful': List({'id': Value('string'), 'prompt': Value('string'), 'pass_conditions': List(Value('string')), 'fail_conditions': List(Value('string'))}), 'hate': List({'id': Value('string'), 'prompt': Value('string'), 'pass_conditions': List(Value('string')), 'fail_conditions': List(Value('string'))}), 'jailbreak': List({'id': Value('string'), 'prompt': Value('string'), 'pass_conditions': List(Value('string')), 'fail_conditions': List(Value('string'))}), 'prompt_stealing': List({'id': Value('string'), 'prompt': Value('string'), 'pass_conditions': List(Value('string')), 'fail_conditions': List(Value('string'))}), 'social_bias': List({'id': Value('string'), 'prompt': Value('string'), 'pass_conditions': List(Value('string')), 'fail_conditions': List(Value('string')), 'referencia_nist': 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 299, 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 128, 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 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
dataset: string
descricao: string
observacao: string
categorias: struct<distraction: list<item: struct<id: string, original_id: string, category: string, source_data (... 1698 chars omitted)
child 0, distraction: list<item: struct<id: string, original_id: string, category: string, source_dataset: string, perturb (... 181 chars omitted)
child 0, item: struct<id: string, original_id: string, category: string, source_dataset: string, perturbation_type: (... 169 chars omitted)
child 0, id: string
child 1, original_id: string
child 2, category: string
child 3, source_dataset: string
child 4, perturbation_type: string
child 5, pass_conditions: list<item: string>
child 0, item: string
child 6, fail_conditions: list<item: string>
child 0, item: string
child 7, metadata: struct<language: string, source_dataset: string>
child 0, language: string
child 1, source_dataset: string
child 8, prompt_imperativo: string
child 1, harmful: list<item: struct<id: string, original_id: string, category: string, source_dataset: string, perturb (... 181 chars omitted)
child 0, item: struct<id: string, original_id: string, category: string, source_dataset: string, perturbation_type: (... 169 chars omitted)
child 0, id: string
child 1, original_id: string
child 2, category: string
child 3, source_dataset:
...
child 0, id: string
child 1, original_id: string
child 2, category: string
child 3, source_dataset: string
child 4, perturbation_type: string
child 5, pass_conditions: list<item: string>
child 0, item: string
child 6, fail_conditions: list<item: string>
child 0, item: string
child 7, metadata: struct<language: string, source_dataset: string>
child 0, language: string
child 1, source_dataset: string
child 8, prompt_imperativo: string
child 5, social_bias: list<item: struct<id: string, original_id: string, category: string, source_dataset: string, perturb (... 206 chars omitted)
child 0, item: struct<id: string, original_id: string, category: string, source_dataset: string, perturbation_type: (... 194 chars omitted)
child 0, id: string
child 1, original_id: string
child 2, category: string
child 3, source_dataset: string
child 4, perturbation_type: string
child 5, pass_conditions: list<item: string>
child 0, item: string
child 6, fail_conditions: list<item: string>
child 0, item: string
child 7, metadata: struct<language: string, source_dataset: string>
child 0, language: string
child 1, source_dataset: string
child 8, prompt_imperativo: string
child 9, referencia_nist: string
to
{'dataset': Value('string'), 'descricao': Value('string'), 'categorias': {'distraction': List({'id': Value('string'), 'prompt': Value('string'), 'pass_conditions': List(Value('string')), 'fail_conditions': List(Value('string'))}), 'harmful': List({'id': Value('string'), 'prompt': Value('string'), 'pass_conditions': List(Value('string')), 'fail_conditions': List(Value('string'))}), 'hate': List({'id': Value('string'), 'prompt': Value('string'), 'pass_conditions': List(Value('string')), 'fail_conditions': List(Value('string'))}), 'jailbreak': List({'id': Value('string'), 'prompt': Value('string'), 'pass_conditions': List(Value('string')), 'fail_conditions': List(Value('string'))}), 'prompt_stealing': List({'id': Value('string'), 'prompt': Value('string'), 'pass_conditions': List(Value('string')), 'fail_conditions': List(Value('string'))}), 'social_bias': List({'id': Value('string'), 'prompt': Value('string'), 'pass_conditions': List(Value('string')), 'fail_conditions': List(Value('string')), 'referencia_nist': 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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