The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
schema: string
attestation: string
status: string
banned_vendors_used: list<item: null>
child 0, item: null
sovereign_default: bool
captured_at_utc: timestamp[s]
signed_by: string
co_author: string
level: string
to
{'schema': Value('string'), 'level': Value('string'), 'status': Value('string'), 'captured_at_utc': Value('timestamp[s]'), 'signed_by': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
schema: string
attestation: string
status: string
banned_vendors_used: list<item: null>
child 0, item: null
sovereign_default: bool
captured_at_utc: timestamp[s]
signed_by: string
co_author: string
level: string
to
{'schema': Value('string'), 'level': Value('string'), 'status': Value('string'), 'captured_at_utc': Value('timestamp[s]'), 'signed_by': 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.
πͺ’ SZL Holdings Data Lake (szl-lake)
A public, signed, diligence-defensible corpus of governance provenance. Every governed action in the SZL substrate emits an ECDSA P-256 DSSE-signed Khipu receipt onto a hash-linked Merkle DAG. This dataset aggregates those receipts together with the formal-verification doctrine snapshots, the Zenodo paper record, SBOM pointers, and compliance attestations β so a reviewer can verify the claims end-to-end.
Doctrine v11 LOCKED Β· 749 declarations / 14 unique axioms / 163 tracked sorries Β· Ξ = Conjecture 1 (open, not a theorem).
What's inside
SZLHOLDINGS/szl-lake/
βββ README.md # this card
βββ lake_index.json # master index β every file + sha256 + receipt counts
βββ khipu/ # live signed Khipu receipts, one parquet per organ
β βββ amaru_receipts.parquet # 14 real DSSE-signed tick receipts
β βββ sentra_receipts.parquet # 2 real signed verdict receipts
β βββ a11oy_receipts.parquet # live chain (currently empty β honest)
β βββ rosie_receipts.parquet # live chain (currently empty β honest)
β βββ killinchu_receipts.parquet # live chain (endpoint not yet exposed β honest)
βββ papers/manifest.json # 8 papers + concept/umbrella/version DOIs (links to Zenodo; no PDF duplication)
βββ trajectories/ # multi-turn agent sessions (schema published; seeding pending)
βββ sboms/manifest.json # CycloneDX + SPDX pointers (CI artifacts, per repo)
βββ doctrine/ # periodic 749/14/163 state snapshots + cosign fingerprints
βββ attestations/ # Section 889 Β· CMMC L1 self-attest Β· SLSA level
βββ keys/ # cosign P-256 public keys (org + 5 organs) + MANIFEST
Receipt schema (khipu/*.parquet)
| column | meaning |
|---|---|
receipt_id / actual_hash |
SHA-256 of the committed receipt (Khipu chain node) |
predicted_hash |
parent / predicted chain head (receipts.in β‘ receipts.out) |
organ Β· kind Β· index |
emitting organ, receipt kind (tick/verdict), chain index |
lambda Β· lambda_pass |
13-axis geometric-mean Ξ score and pass flag |
lutar_anchor |
lutar-lean kernel SHA the runtime pins (c7c0ba17) |
decl Β· axioms Β· sorries |
doctrine numbers carried in the receipt payload (749/14/163) |
dsse_sig Β· dsse_keyid Β· dsse_pae_sha256 Β· dsse_signed |
DSSE signature material (ECDSA-P256-SHA256) |
verify_key_url |
where to fetch the cosign public key |
No PII. Receipts carry only hashes, axis scores, organ/kind, doctrine numbers, and timestamps. A PII scan (email/SSN/phone patterns) ran clean before publication.
How to verify a receipt with cosign
Each receipt is signed with an ECDSA P-256 key (keyid: szlholdings-cosign, or per-organ keys under keys/).
curl -sL https://huggingface.co/datasets/SZLHOLDINGS/szl-lake/resolve/main/keys/org-cosign.pub -o cosign.pub
cosign verify-blob --key cosign.pub --signature <dsse_sig> <receipt-payload>
curl https://szlholdings-amaru.hf.space/khipu/pubkey?keyid=amaru-cosign
Per-organ fingerprints (SHA-256 of the public key) are pinned in keys/MANIFEST.json and doctrine/v11_snapshot_20260602.json.
Read it
import pyarrow.parquet as pq
t = pq.read_table("hf://datasets/SZLHOLDINGS/szl-lake/khipu/amaru_receipts.parquet")
print(t.to_pandas().head())
Honesty notes (diligence-defensible)
lake buildstatus: the publishedmainofszl-holdings/lutar-leancurrently fails to compile atLutar/KhipuConsensus.lean(unknown identifier 'Vector'under Mathlib v4.13.0; CI run 26786461244). The runtime organs nonetheless serve the locked749/14/163constant. The source-level count onmainHEAD is774 decl / 14 axioms / 161 noncomment sorriesbecause it includes additive experimental modules excluded from the locked v11 baseline. Seedoctrine/v11_snapshot_20260602.json.- Empty chains are shown as empty. Three organ chains have no receipts yet; their parquet files are valid but empty rather than padded with synthetic data.
- SBOMs & trajectories are pointer manifests where the corpus has not yet been seeded β the schemas are published so consumers can build against them today.
Cite this
@dataset{szl_holdings_data_lake,
title = {SZL Holdings Data Lake},
author = {Lutar, Stephen Paul and {SZL Holdings}},
year = {2026},
publisher = {Hugging Face},
doi = {10.5281/zenodo.20434276},
note = {Concept DOI: 10.5281/zenodo.19944926. Doctrine v11 LOCKED 749/14/163.},
url = {https://huggingface.co/datasets/SZLHOLDINGS/szl-lake}
}
πͺ’ Khipu chain Β· Lean 4 (Mathlib v4.13.0) Β· Sigstore Rekor Β· CC-BY-4.0 Β· Concept DOI 10.5281/zenodo.19944926 Β· Umbrella DOI 10.5281/zenodo.20434276 Β· Doctrine v11 LOCKED Β· 749 / 14 / 163 Β· Ξ Conjecture 1 (open) Β· Signed-off-by: Yachay (CTO) Β· Co-Authored-By: Perplexity Computer Agent
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