structured-reasoning
R1-Reasoning-Unstructured-To-Structured
MasterControl AIML Team 🚀
Overview
The MasterControl AIML team supports the Hugging Face initiative of re-creating DeepSeek R1 training, recognizing it as one of the most impactful open-source projects today.
We aim to contribute to reasoning datasets, specifically those where:
A real-world problem involves generating complex structured output
It is accompanied by step-by-step reasoning and unstructured input
Challenges in Integrating Generative AI… See the full description on the dataset page: https://huggingface.co/datasets/MasterControlAIML/R1-Reasoning-Unstructured-To-Structured.t1-structured-reasoning-full-together_ai-moonshotai-kimi-k2-thinking-daf26c4f
t1-structured-reasoning-full-together_ai-moonshotai-kimi-k2-thinking-daf26c4f
Structured reasoning evaluation: instead of injecting synthesized facts, this uses a
static system prompt that teaches the model a heuristic search FORMAT with explicit
structural markers ([STEP], [PRUNE], [BACKTRACK], [REVIEW OPTIONS], [SOLUTION FOUND]).
Inspired by HandCraftedCountdownSearch — models SFT'd on structured search traces
significantly outperform free-form CoT. This tests whether prompt-time… See the full description on the dataset page: https://huggingface.co/datasets/reasoning-degeneration-dev/t1-structured-reasoning-full-together_ai-moonshotai-kimi-k2-thinking-daf26c4f.dev-0913t1-structured-reasoning-user-full-together_ai-qwen-qwen3-next-80b-a3b-thin-a18d7696
t1-structured-reasoning-user-full-together_ai-qwen-qwen3-next-80b-a3b-thin-a18d7696
Structured reasoning evaluation: instead of injecting synthesized facts, this uses a
static system prompt that teaches the model a heuristic search FORMAT with explicit
structural markers ([STEP], [PRUNE], [BACKTRACK], [REVIEW OPTIONS], [SOLUTION FOUND]).
Inspired by HandCraftedCountdownSearch — models SFT'd on structured search traces
significantly outperform free-form CoT. This tests whether… See the full description on the dataset page: https://huggingface.co/datasets/reasoning-degeneration-dev/t1-structured-reasoning-user-full-together_ai-qwen-qwen3-next-80b-a3b-thin-a18d7696.t1-structured-reasoning-full-together_ai-moonshotai-kimi-k2-5-6921f297
t1-structured-reasoning-full-together_ai-moonshotai-kimi-k2-5-6921f297
Structured reasoning evaluation: instead of injecting synthesized facts, this uses a
static system prompt that teaches the model a heuristic search FORMAT with explicit
structural markers ([STEP], [PRUNE], [BACKTRACK], [REVIEW OPTIONS], [SOLUTION FOUND]).
Inspired by HandCraftedCountdownSearch — models SFT'd on structured search traces
significantly outperform free-form CoT. This tests whether prompt-time format… See the full description on the dataset page: https://huggingface.co/datasets/reasoning-degeneration-dev/t1-structured-reasoning-full-together_ai-moonshotai-kimi-k2-5-6921f297.t1-structured-reasoning-full-together_ai-qwen-qwen3-next-80b-a3b-thin-11c2eead
t1-structured-reasoning-full-together_ai-qwen-qwen3-next-80b-a3b-thin-11c2eead
Structured reasoning evaluation: instead of injecting synthesized facts, this uses a
static system prompt that teaches the model a heuristic search FORMAT with explicit
structural markers ([STEP], [PRUNE], [BACKTRACK], [REVIEW OPTIONS], [SOLUTION FOUND]).
Inspired by HandCraftedCountdownSearch — models SFT'd on structured search traces
significantly outperform free-form CoT. This tests whether prompt-time… See the full description on the dataset page: https://huggingface.co/datasets/reasoning-degeneration-dev/t1-structured-reasoning-full-together_ai-qwen-qwen3-next-80b-a3b-thin-11c2eead.