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Cannot load the dataset split (in streaming mode) to extract the first rows.
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 match

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πŸͺ’ 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/
β”œβ”€β”€ README.md                         # this card
β”œβ”€β”€ lake_index.json                   # master index β€” every file + sha256 + receipt counts
β”œβ”€β”€ khipu/                            # live signed Khipu receipts, one parquet per organ
β”‚   β”œβ”€β”€ amaru_receipts.parquet        # 14 real DSSE-signed tick receipts
β”‚   β”œβ”€β”€ sentra_receipts.parquet       # 2 real signed verdict receipts
β”‚   β”œβ”€β”€ a11oy_receipts.parquet        # live chain (currently empty β€” honest)
β”‚   β”œβ”€β”€ rosie_receipts.parquet        # live chain (currently empty β€” honest)
β”‚   └── killinchu_receipts.parquet    # live chain (endpoint not yet exposed β€” honest)
β”œβ”€β”€ papers/manifest.json              # 8 papers + concept/umbrella/version DOIs (links to Zenodo; no PDF duplication)
β”œβ”€β”€ trajectories/                     # multi-turn agent sessions (schema published; seeding pending)
β”œβ”€β”€ sboms/manifest.json               # CycloneDX + SPDX pointers (CI artifacts, per repo)
β”œβ”€β”€ doctrine/                         # periodic 749/14/163 state snapshots + cosign fingerprints
β”œβ”€β”€ attestations/                     # Section 889 Β· CMMC L1 self-attest Β· SLSA level
└── 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 ≑ 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 build status: the published main of szl-holdings/lutar-lean currently fails to compile at Lutar/KhipuConsensus.lean (unknown identifier 'Vector' under Mathlib v4.13.0; CI run 26786461244). The runtime organs nonetheless serve the locked 749/14/163 constant. The source-level count on main HEAD is 774 decl / 14 axioms / 161 noncomment sorries because it includes additive experimental modules excluded from the locked v11 baseline. See doctrine/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}
}

πŸͺ’ 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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