Dataset Viewer
Duplicate
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
dsse: struct<payload: string, payloadType: string, signatures: list<item: struct<keyid: string, sig: strin (... 4 chars omitted)
  child 0, payload: string
  child 1, payloadType: string
  child 2, signatures: list<item: struct<keyid: string, sig: string>>
      child 0, item: struct<keyid: string, sig: string>
          child 0, keyid: string
          child 1, sig: string
run: struct<assertions_passed: int64, assertions_total: int64, evidence_sha256: string, finishedAt: strin (... 172 chars omitted)
  child 0, assertions_passed: int64
  child 1, assertions_total: int64
  child 2, evidence_sha256: string
  child 3, finishedAt: string
  child 4, formula_gates_passed: int64
  child 5, formula_gates_total: int64
  child 6, harness_version: string
  child 7, publishedAt: string
  child 8, record: string
  child 9, schema: int64
  child 10, startedAt: string
  child 11, verdict: string
runtime: null
repo_id: string
organization: string
canonical_github_org: string
canonical_flagship: string
generation: string
non_destructive: bool
observed_sha_before_upgrade: string
managed_at: string
repo_type: string
clone_of: null
canonical_rule: string
schema: string
to
{'canonical_flagship': Value('string'), 'canonical_github_org': Value('string'), 'canonical_rule': Value('string'), 'clone_of': Value('null'), 'generation': Value('string'), 'managed_at': Value('string'), 'non_destructive': Value('bool'), 'observed_sha_before_upgrade': Value('string'), 'organization': Value('string'), 'repo_id': Value('string'), 'repo_type': Value('string'), 'runtime': Value('null'), 'schema': 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 489, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              dsse: struct<payload: string, payloadType: string, signatures: list<item: struct<keyid: string, sig: strin (... 4 chars omitted)
                child 0, payload: string
                child 1, payloadType: string
                child 2, signatures: list<item: struct<keyid: string, sig: string>>
                    child 0, item: struct<keyid: string, sig: string>
                        child 0, keyid: string
                        child 1, sig: string
              run: struct<assertions_passed: int64, assertions_total: int64, evidence_sha256: string, finishedAt: strin (... 172 chars omitted)
                child 0, assertions_passed: int64
                child 1, assertions_total: int64
                child 2, evidence_sha256: string
                child 3, finishedAt: string
                child 4, formula_gates_passed: int64
                child 5, formula_gates_total: int64
                child 6, harness_version: string
                child 7, publishedAt: string
                child 8, record: string
                child 9, schema: int64
                child 10, startedAt: string
                child 11, verdict: string
              runtime: null
              repo_id: string
              organization: string
              canonical_github_org: string
              canonical_flagship: string
              generation: string
              non_destructive: bool
              observed_sha_before_upgrade: string
              managed_at: string
              repo_type: string
              clone_of: null
              canonical_rule: string
              schema: string
              to
              {'canonical_flagship': Value('string'), 'canonical_github_org': Value('string'), 'canonical_rule': Value('string'), 'clone_of': Value('null'), 'generation': Value('string'), 'managed_at': Value('string'), 'non_destructive': Value('bool'), 'observed_sha_before_upgrade': Value('string'), 'organization': Value('string'), 'repo_id': Value('string'), 'repo_type': Value('string'), 'runtime': Value('null'), 'schema': Value('string')}
              because column names don't match

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SZL test-results — anatomy alive-harness sink

Public, DSSE-signed results sink for the SZL anatomy alive-harness. This dataset was retired earlier in 2026 and stood back up on 2026-07-21 as the harness's fail-closed publishing target — restoring the public proof loop behind every "harness verified" claim in the estate.

What a run is

anatomy_alive_v6.py (in this repo) drives live assertions across the whole substrate — organ liveness, live formula-gate executions, the yuyay_v3 13-axis schema, Wire D traceparent propagation, the Hatun MCP gateway and its real ECDSA-P256 DSSE signer, anatomy-map doctrine invariants on three surfaces, and the Khipu receipt chain. Every assertion is a real HTTP probe or a real cryptographic verification at the recorded timestamp; counts are derived from the assertion records, never hand-typed.

Files

File Meaning
harness_runs.jsonl One line per published run: {run, dsse} — the compact run record plus its DSSE envelope
runs/<stamp>.evidence.json Full per-assertion evidence for that run
runs/<stamp>.dsse.json The DSSE envelope alone
anatomy_alive_v6.py The harness itself (reproduce a run yourself)
publish_harness_run.py The fail-closed publisher (verify-then-publish)
PUBKEY_szlholdings-ec-p256.pem Copy of the committed org public key

Trust model (honest, binding)

  • Run records are DSSE (PAE v1) signed by the live Hatun MCP gateway (dsse_sign tool, ECDSA-P256, keyid szlholdings-ec-p256). The signing key never touches the publisher.
  • The publisher is fail-closed: it verifies the gateway's signature against the committed public key (hatun-mcp/PUBKEY_szlholdings-ec-p256.pem) before any upload, and re-verifies after upload. Nothing unsigned or unverified is ever published. A gateway in placeholder-signer mode aborts the publish.
  • run.evidence_sha256 binds each signed record to its full evidence file.
  • A signature proves the record was signed by the holder of the org key at publish time — it does not upgrade any doctrine claim. Λ remains Conjecture 1; locked-proven formulas remain exactly 8.

Verify a record yourself

import base64, json
from cryptography.hazmat.primitives import hashes, serialization
from cryptography.hazmat.primitives.asymmetric import ec

rec = json.loads(open("harness_runs.jsonl").readlines()[-1])
env = rec["dsse"]
payload = base64.b64decode(env["payload"])
pae = b"DSSEv1 %d %s %d %s" % (len(env["payloadType"].encode()),
      env["payloadType"].encode(), len(payload), payload)
pub = serialization.load_pem_public_key(open("PUBKEY_szlholdings-ec-p256.pem","rb").read())
pub.verify(base64.b64decode(env["signatures"][0]["sig"]), pae, ec.ECDSA(hashes.SHA256()))
print("OK:", json.loads(payload))

Lineage

Predecessor harness: run_anatomy_alive.py (.github/coordination/anatomy_alive/, 2026-05-30 closeout — L1/L2/L5/L6 PASS, L3/L4 STAGED, L7 NOT-YET-WIRED). The v6 harness replaces STAGED labels with live probes of the now-running substrate.

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Collection including SZLHOLDINGS/test-results