# Reasoning Trace Dataset Üretimi: Teacher Distillation + Self-Bootstrapping

> Source: https://sukruyusufkaya.com/learn/fine-tuning-cookbook/ftc-reasoning-trace-dataset-generation
> Updated: 2026-08-14T00:50:52.784Z
> Category: Fine-Tuning Cookbook (Model-by-Model)
> Module: Part XII — Reasoning Model FT (R1-style)
**TLDR:** Reasoning SFT için trace data üretimi: (a) Teacher distillation — DeepSeek-R1 (MIT lisans!), Gemini-thinking, o3 API çağrısıyla trace topla; (b) Self-bootstrapping — küçük model trace üret + verifiable filter ile doğru olanları tut; (c) Hybrid. RTX 4090'da Llama 3.1 70B teacher local serve + 10K trace üretimi (~24 saat).