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SZLHOLDINGS
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test-results

Tags:
szl
governed-ai
dsse
test-results
provenance
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Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
                  pa_table = paj.read_json(
                      io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
                  )
                File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: JSON parse error: Column(/fields/deployment_evidence/evidence/[]/value) changed from string to boolean in row 0
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 101, in _split_generators
                  pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
                             ~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 304, in _generate_tables
                  batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
                  examples = [ujson_loads(line) for line in original_batch.splitlines()]
                              ~~~~~~~~~~~^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
                  return pd.io.json.ujson_loads(*args, **kwargs)
                         ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
              ValueError: Expected object or value
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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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