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.