Datasetpublic

11-47/Fable-5.1-Max-Reasoning-5K

Dataset Description This dataset contains 5,000 coding and reasoning traces generated by the new Fable 5.1 model using max reasoning effort. It holds almost 150,000,000 tokens of step-by-step chain-of-thought programming across multiple complex domains. It has also been deduplicated and filtered to remove low-quality traces, keeping only high-quality traces. Dataset Statistics Metric Value Total Examples 5,000 Traces Total Token Count ~150,000,000… See the full description on the dataset page: https://huggingface.co/datasets/11-47/Fable-5.1-Max-Reasoning-5K.

sourceHugging Faceapache-2.0updated 7d agoView on Hugging Face

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Dataset Card

Dataset Description

This dataset contains 5,000 coding and reasoning traces generated by the new Fable 5.1 model using max reasoning effort.

It holds almost 150,000,000 tokens of step-by-step chain-of-thought programming across multiple complex domains.

It has also been deduplicated and filtered to remove low-quality traces, keeping only high-quality traces.

Dataset Statistics

Metric	Value
Total Examples	5,000 Traces
Total Token Count	~150,000,000 Tokens
Total Dataset Size	538 MB
Average Trace Size	107.6 KB
Average Token Count	~30,000 Tokens

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 coding and reasoning capabilities down to smaller LLMs.

—Improve general coding and reasoning quality.

—Teach models to generate clear chain-of-thought steps before outputting their final answer.