LASR-Callum/2026-07-29-synthdoc-approved-constitution-sft

Dialogue dataset: Synthetic SFT corpus generated by synthdoc from the approved constitution, to regenerate the difficult-advice training data against a revised specification at a scale comparable to v1, so that the constitution is the intended difference between the two datasets. 1,443 documents / 1,531,369 Qwen3 tokens across five sub-corpora, matching v1's 1.52M.

Required metadata

field	value
experiment	Synthetic SFT corpus generated by synthdoc from the approved constitution, to regenerate the difficult-advice training data against a revised specification at a scale comparable to v1, so that the constitution is the intended difference between the two datasets. 1,443 documents / 1,531,369 Qwen3 tokens across five sub-corpora, matching v1's 1.52M.
date_generated	2026-07-29
constitution	Claude approved constitution (7 principles plus a priority order), spec id claude_approved_constitution. Tracked in this repository at experiments/teaching-claude-why/docs/claude_approved_constitution.md, with the changelog, evidence and rejected alternatives in claude_approved_constitution_rationale.md, and the generator's copy at synthdoc/control/specs/claude_approved_constitution.md. The substantive change from v1 is a principle against ends-justify-means reasoning, which is the failure mode the agentic honeypots actually measure.
source_repo	https://github.com/Matthew-Bozoukov/teaching_claude_why_replication @ 0c120b0
models	anthropic/claude-sonnet-4.5 (planner, generator and reviser, all three stages, called through OpenRouter. No Anthropic key is used anywhere in this project.)
generation_config	see below
schema	see below
provenance	Generated with uv run python -m synthdoc.cli run --config synthdoc/control/configs/corpora/approved_*.yaml (five corpora), then merged and rendered to Qwen3 chat format as sft_approved_constitution.jsonl. Full method and the measured pipeline findings are in experiments/teaching-claude-why/LOG.md under 2026-07-29 (pm). Cost $171.46, itemised in docs/EXPENDITURE.md.

generation_config

{
  "seed": 0,
  "planning": {
    "template": "what_how_why",
    "temperature": 1,
    "max_tokens": 1200
  },
  "generation": {
    "template": "v2",
    "strategy": "draft_then_align",
    "temperature": 1,
    "max_tokens": 9000
  },
  "revision": "values_deliberation, fresh context - rewrote 83-85% of documents in every corpus",
  "filters": "length (80-6000 words), embedding_dedup (threshold 0.95), autorater",
  "embedder": "hashing, dim 1024",
  "sub_corpora": "approved_difficult_advice (a human faces the dilemma), approved_embodied (the principle is never named), approved_agentic (the model is the actor with live tools), plus the _top variants selected by autorater score."
}

schema

field	value
doc_id	Stable document identifier; exposed to the viewer as id.
scenario_hash	Hash of the scenario the document was planned from.
messages	The SFT dialogue; each item has role and content.
spec_id	The specification this document was generated against.
chunk_ids	Which spec sections seeded this document.
doc_type	Document archetype; exposed to the viewer as category.
grouping_strategy	How spec chunks were grouped for this document.
axes	The ablatable generation axes this document was drawn from.
corpus	Which sub-corpus produced it; exposed to the viewer as split.

provenance

Regenerate with:

Generated with `uv run python -m synthdoc.cli run --config synthdoc/control/configs/corpora/approved_*.yaml` (five corpora), then merged and rendered to Qwen3 chat format as sft_approved_constitution.jsonl. Full method and the measured pipeline findings are in experiments/teaching-claude-why/LOG.md under 2026-07-29 (pm). Cost $171.46, itemised in docs/EXPENDITURE.md.

Additional detail

{
  "record_count": 1443,
  "token_count_qwen3": 1531369,
  "cost_usd": 171.46
}

Layout

manifest.json is the small index the Research Log visualizer bakes into its static build. Per-item payloads under transcripts/ and chunks/ are fetched by the browser only when a reader opens that item. The canonical export directories are byte-identical to the originals and are what you should cite.