MoreThought/Fable-5.1-Max-Reasoning-Filtered-10000x
Dataset Description This dataset contains 10,000 agentic coding and reasoning multi-turn high-quality traces generated by the new Fable 5.1 model using max reasoning effort. It holds almost 500,000,000 tokens of step-by-step chain-of-thought programming across multiple complex domains. It has also been deduplicated and heavily filtered to remove low-quality traces, keeping only high-quality traces. Dataset Statistics Metric Value Total Examples 10,000… See the full description on the dataset page: https://huggingface.co/datasets/MoreThought/Fable-5.1-Max-Reasoning-Filtered-10000x.
Dataset Description
This dataset contains 10,000 agentic coding and reasoning multi-turn high-quality traces generated by the new Fable 5.1 model using max reasoning effort.
It holds almost 500,000,000 tokens of step-by-step chain-of-thought programming across multiple complex domains.
It has also been deduplicated and heavily filtered to remove low-quality traces, keeping only high-quality traces.
Dataset Statistics
Dataset Contents & Coverage
The dataset includes step-by-step problem-solving for complex coding tasks, including:
- Algorithm design, implementation, and performance optimization.
- Advanced debugging and error-handling.
- Multi-step logic design and compliance with complex prompt constraints.
Uses
- Distilling Fable 5.1 agentic coding and reasoning capabilities down to smaller LLMs.
- Improve general coding and reasoning quality.
- Teaching models to generate clear chain-of-thought steps and tool-use before outputting their final answer.