SecurePII-Bench
Collection
149 items • Updated
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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
sample_id: int64
language: string
text: string
gt: list<item: struct<start: int64, end: int64, tag: string, value: string, text: string>>
child 0, item: struct<start: int64, end: int64, tag: string, value: string, text: string>
child 0, start: int64
child 1, end: int64
child 2, tag: string
child 3, value: string
child 4, text: string
predictions: list<item: struct<label: string, start: int64, end: int64, text: string, score: double>>
child 0, item: struct<label: string, start: int64, end: int64, text: string, score: double>
child 0, label: string
child 1, start: int64
child 2, end: int64
child 3, text: string
child 4, score: double
inference_time_ms: double
by_language: struct<vi: struct<micro_precision: double, micro_recall: double, micro_f1: double, weighted_precisio (... 458 chars omitted)
child 0, vi: struct<micro_precision: double, micro_recall: double, micro_f1: double, weighted_precision: double, (... 78 chars omitted)
child 0, micro_precision: double
child 1, micro_recall: double
child 2, micro_f1: double
child 3, weighted_precision: double
child 4, weighted_recall: double
child 5, weighted_f1: double
child 6, support: int64
child 7, n_labels: int64
child 1, en: struct<micro_precision: double, micro_recall: double, micro_f1: double, weighted_precision: double, (... 78 chars omitted)
child 0, micro_precision: double
child 1, micro_recall: double
child 2, micro_f1: double
child 3, weighted_precision: double
child 4, weighted_recall: double
child 5, weighted_f1: double
child 6, support: int64
child 7, n_labels: int64
child 2, de: struct<micro_precision: double, micro_recall: double, micro_f1: double, weighted_precision: double, (... 78 chars omitted)
child 0, micro_precision: double
child 1, micro_recall: double
child 2, micro_f1: double
child 3, weighted_precision: double
child 4, weighted_recall: double
child 5, weighted_f1: double
child 6, support: int64
child 7, n_labels: int64
overall: struct<micro_precision: double, micro_recall: double, micro_f1: double, weighted_precision: double, (... 78 chars omitted)
child 0, micro_precision: double
child 1, micro_recall: double
child 2, micro_f1: double
child 3, weighted_precision: double
child 4, weighted_recall: double
child 5, weighted_f1: double
child 6, support: int64
child 7, n_labels: int64
to
{'overall': {'micro_precision': Value('float64'), 'micro_recall': Value('float64'), 'micro_f1': Value('float64'), 'weighted_precision': Value('float64'), 'weighted_recall': Value('float64'), 'weighted_f1': Value('float64'), 'support': Value('int64'), 'n_labels': Value('int64')}, 'by_language': {'vi': {'micro_precision': Value('float64'), 'micro_recall': Value('float64'), 'micro_f1': Value('float64'), 'weighted_precision': Value('float64'), 'weighted_recall': Value('float64'), 'weighted_f1': Value('float64'), 'support': Value('int64'), 'n_labels': Value('int64')}, 'en': {'micro_precision': Value('float64'), 'micro_recall': Value('float64'), 'micro_f1': Value('float64'), 'weighted_precision': Value('float64'), 'weighted_recall': Value('float64'), 'weighted_f1': Value('float64'), 'support': Value('int64'), 'n_labels': Value('int64')}, 'de': {'micro_precision': Value('float64'), 'micro_recall': Value('float64'), 'micro_f1': Value('float64'), 'weighted_precision': Value('float64'), 'weighted_recall': Value('float64'), 'weighted_f1': Value('float64'), 'support': Value('int64'), 'n_labels': Value('int64')}}}
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
sample_id: int64
language: string
text: string
gt: list<item: struct<start: int64, end: int64, tag: string, value: string, text: string>>
child 0, item: struct<start: int64, end: int64, tag: string, value: string, text: string>
child 0, start: int64
child 1, end: int64
child 2, tag: string
child 3, value: string
child 4, text: string
predictions: list<item: struct<label: string, start: int64, end: int64, text: string, score: double>>
child 0, item: struct<label: string, start: int64, end: int64, text: string, score: double>
child 0, label: string
child 1, start: int64
child 2, end: int64
child 3, text: string
child 4, score: double
inference_time_ms: double
by_language: struct<vi: struct<micro_precision: double, micro_recall: double, micro_f1: double, weighted_precisio (... 458 chars omitted)
child 0, vi: struct<micro_precision: double, micro_recall: double, micro_f1: double, weighted_precision: double, (... 78 chars omitted)
child 0, micro_precision: double
child 1, micro_recall: double
child 2, micro_f1: double
child 3, weighted_precision: double
child 4, weighted_recall: double
child 5, weighted_f1: double
child 6, support: int64
child 7, n_labels: int64
child 1, en: struct<micro_precision: double, micro_recall: double, micro_f1: double, weighted_precision: double, (... 78 chars omitted)
child 0, micro_precision: double
child 1, micro_recall: double
child 2, micro_f1: double
child 3, weighted_precision: double
child 4, weighted_recall: double
child 5, weighted_f1: double
child 6, support: int64
child 7, n_labels: int64
child 2, de: struct<micro_precision: double, micro_recall: double, micro_f1: double, weighted_precision: double, (... 78 chars omitted)
child 0, micro_precision: double
child 1, micro_recall: double
child 2, micro_f1: double
child 3, weighted_precision: double
child 4, weighted_recall: double
child 5, weighted_f1: double
child 6, support: int64
child 7, n_labels: int64
overall: struct<micro_precision: double, micro_recall: double, micro_f1: double, weighted_precision: double, (... 78 chars omitted)
child 0, micro_precision: double
child 1, micro_recall: double
child 2, micro_f1: double
child 3, weighted_precision: double
child 4, weighted_recall: double
child 5, weighted_f1: double
child 6, support: int64
child 7, n_labels: int64
to
{'overall': {'micro_precision': Value('float64'), 'micro_recall': Value('float64'), 'micro_f1': Value('float64'), 'weighted_precision': Value('float64'), 'weighted_recall': Value('float64'), 'weighted_f1': Value('float64'), 'support': Value('int64'), 'n_labels': Value('int64')}, 'by_language': {'vi': {'micro_precision': Value('float64'), 'micro_recall': Value('float64'), 'micro_f1': Value('float64'), 'weighted_precision': Value('float64'), 'weighted_recall': Value('float64'), 'weighted_f1': Value('float64'), 'support': Value('int64'), 'n_labels': Value('int64')}, 'en': {'micro_precision': Value('float64'), 'micro_recall': Value('float64'), 'micro_f1': Value('float64'), 'weighted_precision': Value('float64'), 'weighted_recall': Value('float64'), 'weighted_f1': Value('float64'), 'support': Value('int64'), 'n_labels': Value('int64')}, 'de': {'micro_precision': Value('float64'), 'micro_recall': Value('float64'), 'micro_f1': Value('float64'), 'weighted_precision': Value('float64'), 'weighted_recall': Value('float64'), 'weighted_f1': Value('float64'), 'support': Value('int64'), 'n_labels': Value('int64')}}}
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