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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
cases: list<item: struct<case_id: string, class: string, expected: list<item: struct<class: string, edge: s (... 224 chars omitted)
  child 0, item: struct<case_id: string, class: string, expected: list<item: struct<class: string, edge: string>>, fo (... 212 chars omitted)
      child 0, case_id: string
      child 1, class: string
      child 2, expected: list<item: struct<class: string, edge: string>>
          child 0, item: struct<class: string, edge: string>
              child 0, class: string
              child 1, edge: string
      child 3, formats: struct<descriptor: struct<expressible: bool, path: string, reason: string>, rfc8693: struct<expressi (... 104 chars omitted)
          child 0, descriptor: struct<expressible: bool, path: string, reason: string>
              child 0, expressible: bool
              child 1, path: string
              child 2, reason: string
          child 1, rfc8693: struct<expressible: bool, reason: string, path: string>
              child 0, expressible: bool
              child 1, reason: string
              child 2, path: string
          child 2, ucan: struct<expressible: bool, reason: string, path: string>
              child 0, expressible: bool
              child 1, reason: string
              child 2, path: string
count: int64
counts: struct<descriptor: struct<expressible: int64, inexpressible: int64>, rfc8693: struct<expressible: in (... 83 chars omitted)
  child 0, descriptor: struct<expressible: int64, inexpressible: int64>
      child 0, expressible: int64
      child 1, inexpressible: int64
  child 1, rfc8693: struct<expressible: int64, inexpressible: int64>
      child 0, expressible: int64
      child 1, inexpressible: int64
  child 2, ucan: struct<expressible: int64, inexpressible: int64>
      child 0, expressible: int64
      child 1, inexpressible: int64
formats: list<item: string>
  child 0, item: string
selected_case_ids: list<item: string>
  child 0, item: string
version: string
framework: string
scenario: string
source_refs: list<item: null>
  child 0, item: null
generations: list<item: struct<actions: list<item: string>, caps: list<item: struct<limit: int64, name: string>>, (... 103 chars omitted)
  child 0, item: struct<actions: list<item: string>, caps: list<item: struct<limit: int64, name: string>>, node: stri (... 91 chars omitted)
      child 0, actions: list<item: string>
          child 0, item: string
      child 1, caps: list<item: struct<limit: int64, name: string>>
          child 0, item: struct<limit: int64, name: string>
              child 0, limit: int64
              child 1, name: string
      child 2, node: string
      child 3, purposes: list<item: string>
          child 0, item: string
      child 4, resources: list<item: string>
          child 0, item: string
      child 5, tools: list<item: string>
          child 0, item: string
child_credentials: string
handoff_evidence: string
to
{'child_credentials': Value('string'), 'framework': Value('string'), 'generations': List({'actions': List(Value('string')), 'caps': List({'limit': Value('int64'), 'name': Value('string')}), 'node': Value('string'), 'purposes': List(Value('string')), 'resources': List(Value('string')), 'tools': List(Value('string'))}), 'handoff_evidence': Value('string'), 'scenario': Value('string'), 'source_refs': List(Value('null')), 'version': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 544, 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 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              cases: list<item: struct<case_id: string, class: string, expected: list<item: struct<class: string, edge: s (... 224 chars omitted)
                child 0, item: struct<case_id: string, class: string, expected: list<item: struct<class: string, edge: string>>, fo (... 212 chars omitted)
                    child 0, case_id: string
                    child 1, class: string
                    child 2, expected: list<item: struct<class: string, edge: string>>
                        child 0, item: struct<class: string, edge: string>
                            child 0, class: string
                            child 1, edge: string
                    child 3, formats: struct<descriptor: struct<expressible: bool, path: string, reason: string>, rfc8693: struct<expressi (... 104 chars omitted)
                        child 0, descriptor: struct<expressible: bool, path: string, reason: string>
                            child 0, expressible: bool
                            child 1, path: string
                            child 2, reason: string
                        child 1, rfc8693: struct<expressible: bool, reason: string, path: string>
                            child 0, expressible: bool
                            child 1, reason: string
                            child 2, path: string
                        child 2, ucan: struct<expressible: bool, reason: string, path: string>
                            child 0, expressible: bool
                            child 1, reason: string
                            child 2, path: string
              count: int64
              counts: struct<descriptor: struct<expressible: int64, inexpressible: int64>, rfc8693: struct<expressible: in (... 83 chars omitted)
                child 0, descriptor: struct<expressible: int64, inexpressible: int64>
                    child 0, expressible: int64
                    child 1, inexpressible: int64
                child 1, rfc8693: struct<expressible: int64, inexpressible: int64>
                    child 0, expressible: int64
                    child 1, inexpressible: int64
                child 2, ucan: struct<expressible: int64, inexpressible: int64>
                    child 0, expressible: int64
                    child 1, inexpressible: int64
              formats: list<item: string>
                child 0, item: string
              selected_case_ids: list<item: string>
                child 0, item: string
              version: string
              framework: string
              scenario: string
              source_refs: list<item: null>
                child 0, item: null
              generations: list<item: struct<actions: list<item: string>, caps: list<item: struct<limit: int64, name: string>>, (... 103 chars omitted)
                child 0, item: struct<actions: list<item: string>, caps: list<item: struct<limit: int64, name: string>>, node: stri (... 91 chars omitted)
                    child 0, actions: list<item: string>
                        child 0, item: string
                    child 1, caps: list<item: struct<limit: int64, name: string>>
                        child 0, item: struct<limit: int64, name: string>
                            child 0, limit: int64
                            child 1, name: string
                    child 2, node: string
                    child 3, purposes: list<item: string>
                        child 0, item: string
                    child 4, resources: list<item: string>
                        child 0, item: string
                    child 5, tools: list<item: string>
                        child 0, item: string
              child_credentials: string
              handoff_evidence: string
              to
              {'child_credentials': Value('string'), 'framework': Value('string'), 'generations': List({'actions': List(Value('string')), 'caps': List({'limit': Value('int64'), 'name': Value('string')}), 'node': Value('string'), 'purposes': List(Value('string')), 'resources': List(Value('string')), 'tools': List(Value('string'))}), 'handoff_evidence': Value('string'), 'scenario': Value('string'), 'source_refs': List(Value('null')), 'version': Value('string')}
              because column names don't match

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SubGrant Benchmark (dev split)

A benchmark of agent delegation chains for evaluating verifiers that check whether authority only ever narrows when one agent delegates to another. This is the public dev split of the SubGrant benchmark (120 cases). SubGrant itself is an offline, format-neutral, deterministic verifier β€” see the SubGrant repository for the code and reports.

Files

  • cases.jsonl β€” the 120 dev cases. Each line is a JSON object with a case_id, a graph (a dgraph/1 delegation graph), and an expected list of findings {class, edge} (empty for clean cases).
  • dev_ext/ β€” 24 of the dev cases re-expressed in three source formats (ucan/, rfc8693/, descriptor/) plus manifest.json, which records, per (case, format) pair, whether the format can express the case and β€” when it cannot β€” the reason.

Composition (dev, 120 cases)

Class Count Meaning
D1 8 amplification (child holds more than parent)
D2 6 depth breach
D3 6 re-delegation breach
D4 6 lifetime (window) breach
D5 8 fan-out recombination
D6 8 caveat drop / weakening
D7 6 confused-deputy reachability
D8 4 unbound delegation (presence-only)
clean 68 valid chains that must raise no finding
total 120

Cases are generated deterministically (no RNG); the case-file digest is anchored in the source repository's manifest.

Scoring rule

A planted case is counted detected only when a finding matches on both the check class and the edge. Clean cases must raise no D1–D7 finding. Extra findings on planted cases are counted separately. This is the rule used for the headline numbers below.

Headline numbers (audited)

  • Dev bench (this split): recall D1–D7 = 1.000 each; clean false positives 0/68; D8 4/4 (GATE 1 PASS).
  • Baselines on dev: a naive per-edge checker scores 0.000 on D5 and D7 (and 0.167 on D2); SubGrant scores 1.000 across D1–D7.
  • Framework-default audit (8 frameworks, 2026-11-11): none checks child βŠ† parent by default, and none records a delegation-authority binding on the handoff.

Sealed holdout β€” not included

A second, sealed 120-case holdout was authored independently, with the verifier's predictions pre-registered in git before the holdout was written. SubGrant passed GATE 2 on it (recall D1–D7 = 1.000, clean FP 0/68, D8 4/4, 0 extra findings). The holdout is not published and is not part of this dataset β€” only this dev split and its aggregate holdout result are public.

License & contact

All Rights Reserved (license: other). These materials are made public solely so they can be read and evaluated; no license to use, copy, modify, or create derivative works is granted. Licensing or transfer inquiries: https://nagayu-portfolio.nagayu.workers.dev/en

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