The Turkish STEM DPO (Direct Preference Optimization) dataset is a comprehensive synthetic resource containing 16,177 high-quality preference pairs designed to enhance the reasoning capabilities of Turkish language models in mathematics, physics, and programming.
The dataset leverages a preference-based learning approach: each instance pairs a carefully crafted, expert-level solution with a deliberately flawed or incomplete… See the full description on the dataset page: https://huggingface.co/datasets/yusufbaykaloglu/Turkish-STEM-DPO-Dataset.
