The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
id: string not null
from_id: string not null
to_id: string not null
relation: string not null
source_id: string not null
-- schema metadata --
link42.dataset: 'threat10'
link42.fixture: 'synthetic-t2-hf-range'
link42.row_group_size: '250'
to
{'id': Value('string'), 'type': Value('string'), 'name': Value('string'), 'name_normalized': Value('string'), 'search_prefix': Value('string'), 'source_id': 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/parquet/parquet.py", line 220, in _generate_tables
yield Key(file_idx, batch_idx), self._cast_table(pa_table)
~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 156, 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
id: string not null
from_id: string not null
to_id: string not null
relation: string not null
source_id: string not null
-- schema metadata --
link42.dataset: 'threat10'
link42.fixture: 'synthetic-t2-hf-range'
link42.row_group_size: '250'
to
{'id': Value('string'), 'type': Value('string'), 'name': Value('string'), 'name_normalized': Value('string'), 'search_prefix': Value('string'), 'source_id': 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.
Link42 Threat dataset
This public repository is the best-effort storage target for immutable, query-routed Threat releases. It currently
contains only deterministic synthetic browser-feasibility data under synthetic/t2/; it is not threat intelligence,
does not describe real people or infrastructure, and must not be used as an IOC feed.
The current synthetic T2 rows and metadata are project-authored test fixtures under AGPL-3.0-or-later. That statement applies only to the explicit synthetic path. Future source-derived rows will retain their own licences, attribution, terms, provenance, and field allow-lists; unknown or unapproved material remains excluded by default.
The active pointer and manifests are published only after their data files and pin immutable Hugging Face revisions, byte sizes, hashes, schemas, routing, and previous-good state. Browsers read anonymously and never receive publisher credentials.
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