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Datasets:
proofaml
/
us-sanctions-watchlist-pep

Tasks:
Text Retrieval
Other
Size:
10K<n<100K
Tags:
us-sanctions
ofac-sdn
us-watchlist
us-pep
single-jurisdiction-screening
us-nexus
License:
Dataset card Files
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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:    TypeError
Message:      Couldn't cast array of type string to null
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 2312, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2118, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2152, in cast_array_to_feature
                  return array_cast(
                      array,
                  ...<2 lines>...
                      allow_decimal_to_str=allow_decimal_to_str,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2014, in array_cast
                  raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}")
              TypeError: Couldn't cast array of type string to null

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ProofAML — United States Sanctions, Watchlist & PEP Dataset

Research snapshot — not current data; production sanctions screening requires a live, monitored feed.

Erratum — version 2026-08-24-rev1 is a corrected re-issue that supersedes the original 2026-08-24 release, which is withdrawn and must not be used. Sources lacking a confirmed public-redistribution license were removed (license-compliance remediation, ADR-113); the full current exclusion list is in this bundle's manifest.json "excluded" array.

Every US-issued sanctions, export-control, wanted, and PEP list in one file — a single US-nexus bundle.

A jurisdiction-axis segment of the ProofAML corpus (us-sanctions-watchlist-pep): 25 sources, 53,547 entity records (version 2026-08-24-rev1), cut from the same emitter run as the master snapshot and governed by the same terms.

Why this segment

For a buyer whose screening obligation is US-nexus only (a US-regulated fintech, a US bank's correspondent-screening program) and doesn't need or want UN/EU/UK data cluttering the file. Deliberately excludes us_cia_world_leaders — that dataset's content is foreign heads of state and cabinet members, not US persons; including it would inflate the count with mislabeled data. Overlaps by design with the type segments (a US-nexus buyer and a global-sanctions buyer both legitimately want us_ofac_sdn).

Overlap disclosure

This dataset overlaps with other ProofAML segment datasets and the master snapshot — entities are not unique to this file. See https://proofaml.com/sources/ for the full corpus and the other available segments.

Machine-readable in manifest.json: isPartOf: "master", partitionGroup: "jurisdiction", overlapsWith: ["master", "global-export-control-denied-party", "global-pep-census", "global-sanctions-regulatory-enforcement", "global-wanted-persons-doj-enforcement"].

License

  • The compilation/resolution layer is licensed by ProofAML under CC BY 4.0.
  • Every individual record also carries its own upstream publisher's license (US public domain (17 U.S.C. §105); CC0 public-domain dedication) — not relicensed by ProofAML. See the bundle's NOTICE file for the full per-source breakdown.
  • Fail-closed: sources without a confirmed public-redistribution license are excluded entirely (see manifest.json's excluded array).

Citation 

ProofAML — https://proofaml.com — "ProofAML United States Sanctions, Watchlist & PEP Dataset Snapshot 2026-08-24-rev1"

Part of the full ProofAML corpus

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