Scaffold CoT’s creator claims its released four-million-example structured reasoning dataset improves the accuracy, concision, and reliability of under-5B language models over free-form chain-of-thought training, potentially providing a practical specialization recipe for small open models.
state: expiredheat: lowuncertainty: highknownscott: lowsmall-models reasoning-training open-modelsSaraozte01
What is this?
Scaffold CoT is a community-released structured chain-of-thought dataset attributed to Saraozte01, intended to address failures of free-form reasoning in language models below roughly 5B parameters. Its primary artifact reportedly contains about 3.8 million examples and 3 billion tokens, and its creator claims training on it can improve reasoning accuracy, concision, and reliability. Those gains are not established by the supplied web results: experiments were still running at release, and the snippets provide only general support for structured reasoning methods rather than evaluations of Scaffold CoT itself.
Why it matters to Scott
The radar already tracks this exact unresolved development on `radar:scaffold-cot-small-model-dataset`, including the need for independent training and evaluation. It directly touches Scott’s synthetic fine-tuning data factory, local-model infrastructure, and evaluation-gated practice, but the supplied case adds no validated results or new evidence that would yet change what he builds or argues.
dev:concept.synthetic-finetuning-datasetdev:project.redditdev:concept.hardware-aware-local-inferenceip:concept.evaluation-driven-developmentradar:scaffold-cot-small-model-datasetradar:concept.reasoning-tracesradar:concept.small-modelsradar:concept.training-dataradar:concept.open-model-training
queries asked of Scott's wikis
- structured reasoning traces vs free-form chain of thought
- small-model specialization and capability compression
- synthetic reasoning dataset quality and failure modes
- open-model fine-tuning recipes for local inference
- reasoning-trace reliability and noisy rationales
- sub-5B model economics and practical deployment
Measured heat
no measured readings yet — the hourly heat pass fills this in
How the heat travelled
no chain yet — the hourly chain pass fills this in
Evidence (2) — ⭐ canonical anchor
Interpretation history
2026-09-06T20:30:20Z
No evaluation results, adoption, or independent implementation have appeared since release; the case has been stale for days with no movement. Expiring as window-closed; can be reopened if comparative experiments or outside training runs emerge.
2026-09-04T19:38:01Z
The staleness check found no evaluation results, adoption, or independent implementation; a lone additional comment does not change the case’s meaning. It remains an interesting released artifact whose claimed small-model gains are unvalidated.
2026-09-02T19:33:10Z
The re-observation adds no results, adoption, or independent evaluation; this remains a released training artifact with unvalidated performance claims. Promotion still depends on comparative experiments or outside implementations.
2026-09-02T19:30:07Z
grounded: known/low — The radar already tracks this exact unresolved development on `radar:scaffold-cot-small-model-dataset`, including the need for independent training and evaluati
2026-09-02T19:26:17Z
origin walked (codex/luna, conf 0.93): anchor reddit.post.1w5jw6c -> echo.other.7fe6b6b191 by Specific-Labs
2026-09-02T19:24:49Z
case created — The claimed release is a substantial, bounded training artifact, but experiments and outside evaluation are still pending.
Decision trace
- 09-07 06:30expireNo evaluation results, adoption, or independent implementation have appeared since release; the case has been stale for days with no movement. Expiring as window-closed; can be reopened if comparative
- 09-07 06:30alert_silent
- 09-07 06:30alert_route
- 09-05 05:38repriceThe staleness check found no evaluation results, adoption, or independent implementation; a lone additional comment does not change the case’s meaning. It remains an interesting released artifact whos
- 09-05 05:38alert_silentThere is no consequential new delta to surface; wait for comparative experiment results, an independent training run, or meaningful adoption.
- 09-05 05:38alert_routeThere is no consequential new delta to surface; wait for comparative experiment results, an independent training run, or meaningful adoption.
- 09-03 05:33repriceThe re-observation adds no results, adoption, or independent evaluation; this remains a released training artifact with unvalidated performance claims. Promotion still depends on comparative experimen
- 09-03 05:33alert_silentNo consequential new delta occurred; engagement and evidence are unchanged, so the case can wait for normal briefing or actual evaluation results.
- 09-03 05:33alert_routeNo consequential new delta occurred; engagement and evidence are unchanged, so the case can wait for normal briefing or actual evaluation results.
- 09-03 05:30alert_silentThe creator has released a large structured-reasoning dataset, but explicitly says experiments are still running and supplies no comparative training results or evaluation evidence. The artifact is re
- 09-03 05:30surface_candidateThe creator has released a large structured-reasoning dataset, but explicitly says experiments are still running and supplies no comparative training results or evaluation evidence. The artifact is re
- 09-03 05:30alert_routeThe creator has released a large structured-reasoning dataset, but explicitly says experiments are still running and supplies no comparative training results or evaluation evidence. The artifact is re
- 09-03 05:30groundThe radar already tracks this exact unresolved development on `radar:scaffold-cot-small-model-dataset`, including the need for independent training and evaluation. It directly touches Scott’s syntheti
- 09-03 05:26promote_anchororigin walk conf 0.93
- 09-03 05:24createThe claimed release is a substantial, bounded training artifact, but experiments and outside evaluation are still pending.