Create README.md

README.md

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+---
+license: apache-2.0
+task_categories:
+- text-generation
+- question-answering
+language:
+- en
+pretty_name: Fable 5.1's Style
+tags:
+- fable 5.1
+- coding
+- synthetic
+- thinking
+- think
+- reason
+- reasoning
+- distill
+- distillation
+- agent
+- agentic
+- SFT
+- CoT
+- code
+- programming
+- thought
+- thoughts
+- SWE
+- tool-use
+- mythos 5.1
+- mythos
+- fable class
+- mythos class
+- fable 5
+- mythos 5
+size_categories:
+- 100K<n<1M
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: train.jsonl
+---
+## Dataset Description
+
+This dataset contains 10,000 agentic coding and reasoning multi-turn traces took from the Step 3.5 Flash SFT Code dataset.
+
+It was remade to sound very similar to the Fable 5.1 model on max reasoning effort in Fable-5.1-Max-Reasoning-Filtered-10000x.
+
+It holds over 2,000,000,000 tokens of step-by-step chain-of-thought programming across multiple complex coding domains.
+
+It has also been deduplicated and filtered to remove no-reasoning and lower-quality traces, keeping only high-quality slow reasoning traces.
+
+## Dataset Statistics
+
+| Metric | Value |
+| :--- | :--- |
+| **Total Examples** | 473,635 Traces |
+| **Total Token Count** | ~2,000,000,000 Tokens |
+| **Total Dataset Size** | 6.8 GB |
+| **Average Trace Size** | 14.3 KB |
+| **Average Token Count** | ~4,500 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-style agentic coding and reasoning 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.