Dataset summary Mixture of Thoughts is a curated dataset of 350k verified reasoning traces distilled from DeepSeek R1. The dataset spans tasks in mathematics, coding, and science, and is designed to teach language models to reason step by step. It was used in the Open R1 project to train OpenR1 Distill 7B, an SFT model that replicates the reasoning capabilities of deepseek ai/DeepSeek R1 Distill Qwen 7B from the same base model. To load the dataset, run: from datasets import… See the full description on the dataset page: https://huggingface.co/datasets/hiepp2/tvp4.
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