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Datasets:
SZLHOLDINGS
/
szl-quant-sft-v1

Tasks:
Text Generation
Languages:
English
Size:
1K<n<10K
Tags:
szl
quant
provenance
dsse
receipts
sft
License:
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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
messages: list<item: struct<content: string, role: string>>
  child 0, item: struct<content: string, role: string>
      child 0, content: string
      child 1, role: string
provenance: struct<barIndex: int64, datasetSha256: string, derivation: string, generator: string, receiptSha256: (... 31 chars omitted)
  child 0, barIndex: int64
  child 1, datasetSha256: string
  child 2, derivation: string
  child 3, generator: string
  child 4, receiptSha256: string
  child 5, sourceReceipt: string
observed_sha_before_upgrade: string
generation: string
canonical_github_org: string
managed_at: string
non_destructive: bool
organization: string
runtime: null
clone_of: null
canonical_flagship: string
repo_id: string
repo_type: string
schema: string
canonical_rule: 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
              messages: list<item: struct<content: string, role: string>>
                child 0, item: struct<content: string, role: string>
                    child 0, content: string
                    child 1, role: string
              provenance: struct<barIndex: int64, datasetSha256: string, derivation: string, generator: string, receiptSha256: (... 31 chars omitted)
                child 0, barIndex: int64
                child 1, datasetSha256: string
                child 2, derivation: string
                child 3, generator: string
                child 4, receiptSha256: string
                child 5, sourceReceipt: string
              observed_sha_before_upgrade: string
              generation: string
              canonical_github_org: string
              managed_at: string
              non_destructive: bool
              organization: string
              runtime: null
              clone_of: null
              canonical_flagship: string
              repo_id: string
              repo_type: string
              schema: string
              canonical_rule: 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-quant-sft-v1 — training rows with signed lineage

Every row in this dataset is derived deterministically from a DSSE-signed backtest receipt and is recomputable bit-exact from content-addressed archives. No row was hand-written, scraped, or synthesized by a model.

Lineage (verifiable end-to-end) 

CoinGecko daily closes (REPORTED venue feed)
  → szl-quant MEASURED walk-forward backtests → DSSE-signed receipts
      github.com/szl-holdings/szl-quant/receipts/backtest_*.receipt.json
  → content-addressed input archives  data/datasets/<sha256>.json
  → tools/sft-export.mjs — deterministic replay of the engine's actual
    decisions (signature-verified receipts only; fail-closed on any mismatch)
  → quant_sft_v1.jsonl  (this repo)
  → quant_sft_v1.manifest.json + DSSE receipt over the manifest

Each row's provenance block cites: source receipt path, receipt file sha256, dataset archive sha256, bar index, generator. The signed manifest pins the JSONL bytes (jsonlSha256).

What the rows teach

Doctrine-governed advisory reasoning, in the engine's own voice:

  • honesty labels on every value (REPORTED feed, HEURISTIC components, advisory Λ);
  • conviction hard-capped at 0.97 (proven trust locked false);
  • genuine ABSTAIN examples where history is insufficient — an absent value carries no value;
  • fixed caveats in every answer: paper-only, advisory, not financial advice.

Composition (2,693 rows): ENTER_LONG 1,267 · EXIT_LONG 773 · HOLD 637 (downsampled 1-in-7 per stream, declared rule) · ABSTAIN 16. Assets (rows): BTC 682 · ETH 707 · SOL 741 · BONK 563 (365d daily, ending 2026-07-21).

Timestamps: each row's asOfIso is the decision bar close; the engine books fills at the next bar close. Evidence windows end at the decision bar — no lookahead.

Row format 

{
  "messages": [
    {"role": "system", "content": "You are SZL-Quant, a doctrine-governed advisory research analyst. LAW: …"},
    {"role": "user", "content": "{\"task\":\"advisory-signal-decision\",\"asset\":{\"coinId\":\"bitcoin\",\"symbol\":\"BTC\"},\"asOfIso\":…,\"params\":…,\"evidence\":{…}}"},
    {"role": "assistant", "content": "{\"action\":\"HOLD\",\"components\":[…],\"conviction\":null,…,\"caveats\":[…]}"}
  ],
  "provenance": {
    "derivation": "deterministic-replay",
    "sourceReceipt": "receipts/backtest_BTC_365d.receipt.json",
    "receiptSha256": "…64 hex…",
    "datasetSha256": "…64 hex…",
    "barIndex": 123,
    "generator": "tools/sft-export.mjs v1"
  }
}

Verify before you trust 

git clone https://github.com/szl-holdings/szl-quant && cd szl-quant
npm test                      # includes sft-export verification suite
sha256sum sft/quant_sft_v1.jsonl   # must equal manifest.jsonlSha256
node verify/verify.mjs --dir receipts   # source receipts, independently

The manifest receipt (quant_sft_v1.manifest.receipt.json) is an in-toto/DSSE envelope signed by the szl-quant engine key (keyId 5c6cf59741ade920, pubkey committed in the repo); its subject digest pins the manifest, and the manifest pins the JSONL.

Honest limits

  • The underlying feed is REPORTED (public venue history) — the dataset inherits that trust level; backtest context is MEASURED replay, not market truth.
  • Decisions reflect one momentum/mean-reversion strategy family on 4 assets × 365 daily bars — narrow coverage, no claim of general market skill.
  • Labels teach the form of honest reasoning; they do not certify profitable trading. The source engine's own receipts state limited/negative out-of-sample results plainly.
  • Receipts are attestations by a keyholder, not cryptographic proof of computation.

Advisory research data. Paper-only lineage. Not financial advice.
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