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dougalldeepmind/2026-08-02-qwen36-synthdoc-package-mixture-15-85

Qwen3.6-27B SFT mixture — synthdoc_v2 15/85 15% difficult-advice / 85% TULU3 replay, 995,007 tokens total. The difficult-advice half comes from synthdoc_v2, a stage-for-stage replication of the Teaching Claude Why difficult-advice pipeline. Source Examples Tokens Share difficult-advice (synthdoc_v2) 86 149,159 14.99% TULU3 replay 1,329 845,848 85.01% Total 1,415 995,007 md5 1940e2a4f9c2281b760913d11d56e196. How the difficult-advice data was made… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-08-02-qwen36-synthdoc-package-mixture-15-85.

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Qwen3.6-27B SFT mixture — synthdoc_v2 15/85

15% difficult-advice / 85% TULU3 replay, 995,007 tokens total. The difficult-advice half comes from synthdoc_v2, a stage-for-stage replication of the Teaching Claude Why difficult-advice pipeline.

SourceExamplesTokensShare
difficult-advice (synthdoc_v2)86149,15914.99%
TULU3 replay1,329845,84885.01%
Total1,415995,007

md5 1940e2a4f9c2281b760913d11d56e196.

How the difficult-advice data was made

Six separate stages, each with its own model and its own cached snapshot:

#StageModelInjected
1Segment the constitution— deterministic—
2Generate scenariosclaude-haiku-4.5the one target trait
3Draft the promptclaude-haiku-4.5the scenario
4Refine the promptclaude-sonnet-5full constitution + target trait
5Generate response + reasoningclaude-haiku-4.5target trait + style guidance
6Rewrite against the constitutionclaude-sonnet-5full constitution + target trait + transcript

Trait-balanced. The constitution splits into 8 numbered principles, and the source pool (difficult_advice_pool.jsonl) holds exactly 25 examples for each, so no principle dominates. Each record carries its target principle in metadata.trait_id/trait_name.

Think-block convention

DataRenders as
difficult-advice<think>real reasoning</think> — every row
TULU3 replayno `<think>` block at all

Zero rows carry an empty <think></think>, which is the documented pattern that trains a model to stop reasoning. Re-rendering from messages will not reproduce these strings.

Intended use

Assistant-only loss: mask everything outside an assistant turn. ~78% of tokens are supervised under that scheme.

Files

FileWhat it is
mixture.jsonlthe training input: text (pre-rendered) + source
difficult_advice_pool.jsonlthe 200-example trait-balanced pool it drew from, with metadata
mixture_stats.jsonthe table above, machine-readable