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
ts: string
event: string
records: int64
note: string
record_type: string
schema: string
as_of: string
remediation: string
notice_window_days: int64
party_participated: bool
body_sha256: string
authored_by: string
not_a_certification: bool
solicited: bool
name: string
benchmark: string
sig_b64: string
notice_status: string
endorsement: string
predicates: struct<licence_clear: struct<value: string, evidence: string>, canary_string: struct<value: string, (... 376 chars omitted)
child 0, licence_clear: struct<value: string, evidence: string>
child 0, value: string
child 1, evidence: string
child 1, canary_string: struct<value: string, evidence: string>
child 0, value: string
child 1, evidence: string
child 2, public_harness: struct<value: string, evidence: string>
child 0, value: string
child 1, evidence: string
child 3, deterministic_scorer: struct<value: string, evidence: string>
child 0, value: string
child 1, evidence: string
child 4, contamination_audit: struct<value: string, evidence: string>
child 0, value: string
child 1, evidence: string
child 5, refreshed: struct<value: string, evidence: string>
child 0, value: string
child 1, evidence: string
child 6, significance_reported: struct<value: string, evidence: string>
child 0, value: string
child 1, evidence: string
child 7, funding_disclosed: struct<value: string, evidence: string>
child 0, value: string
child 1, evidence: string
access: string
sig_algo: string
to
{'schema': Value('string'), 'record_type': Value('string'), 'not_a_certification': Value('bool'), 'endorsement': Value('string'), 'authored_by': Value('string'), 'solicited': Value('bool'), 'party_participated': Value('bool'), 'access': Value('string'), 'notice_window_days': Value('int64'), 'notice_status': Value('string'), 'benchmark': Value('string'), 'name': Value('string'), 'as_of': Value('string'), 'predicates': {'licence_clear': {'value': Value('string'), 'evidence': Value('string')}, 'canary_string': {'value': Value('string'), 'evidence': Value('string')}, 'public_harness': {'value': Value('string'), 'evidence': Value('string')}, 'deterministic_scorer': {'value': Value('string'), 'evidence': Value('string')}, 'contamination_audit': {'value': Value('string'), 'evidence': Value('string')}, 'refreshed': {'value': Value('string'), 'evidence': Value('string')}, 'significance_reported': {'value': Value('string'), 'evidence': Value('string')}, 'funding_disclosed': {'value': Value('string'), 'evidence': Value('string')}}, 'note': Value('string'), 'remediation': Value('string'), 'body_sha256': Value('string'), 'sig_algo': Value('string'), 'sig_b64': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
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 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
ts: string
event: string
records: int64
note: string
record_type: string
schema: string
as_of: string
remediation: string
notice_window_days: int64
party_participated: bool
body_sha256: string
authored_by: string
not_a_certification: bool
solicited: bool
name: string
benchmark: string
sig_b64: string
notice_status: string
endorsement: string
predicates: struct<licence_clear: struct<value: string, evidence: string>, canary_string: struct<value: string, (... 376 chars omitted)
child 0, licence_clear: struct<value: string, evidence: string>
child 0, value: string
child 1, evidence: string
child 1, canary_string: struct<value: string, evidence: string>
child 0, value: string
child 1, evidence: string
child 2, public_harness: struct<value: string, evidence: string>
child 0, value: string
child 1, evidence: string
child 3, deterministic_scorer: struct<value: string, evidence: string>
child 0, value: string
child 1, evidence: string
child 4, contamination_audit: struct<value: string, evidence: string>
child 0, value: string
child 1, evidence: string
child 5, refreshed: struct<value: string, evidence: string>
child 0, value: string
child 1, evidence: string
child 6, significance_reported: struct<value: string, evidence: string>
child 0, value: string
child 1, evidence: string
child 7, funding_disclosed: struct<value: string, evidence: string>
child 0, value: string
child 1, evidence: string
access: string
sig_algo: string
to
{'schema': Value('string'), 'record_type': Value('string'), 'not_a_certification': Value('bool'), 'endorsement': Value('string'), 'authored_by': Value('string'), 'solicited': Value('bool'), 'party_participated': Value('bool'), 'access': Value('string'), 'notice_window_days': Value('int64'), 'notice_status': Value('string'), 'benchmark': Value('string'), 'name': Value('string'), 'as_of': Value('string'), 'predicates': {'licence_clear': {'value': Value('string'), 'evidence': Value('string')}, 'canary_string': {'value': Value('string'), 'evidence': Value('string')}, 'public_harness': {'value': Value('string'), 'evidence': Value('string')}, 'deterministic_scorer': {'value': Value('string'), 'evidence': Value('string')}, 'contamination_audit': {'value': Value('string'), 'evidence': Value('string')}, 'refreshed': {'value': Value('string'), 'evidence': Value('string')}, 'significance_reported': {'value': Value('string'), 'evidence': Value('string')}, 'funding_disclosed': {'value': Value('string'), 'evidence': Value('string')}}, 'note': Value('string'), 'remediation': Value('string'), 'body_sha256': Value('string'), 'sig_algo': Value('string'), 'sig_b64': 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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