This is a Plain English Papers summary of a research paper called 1.4M Open-Source Dataset Boosts AI Reasoning: Step-by-Step Problems Spanning Math, Science & Programming. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Overview
- New 1.4 million reasoning dataset released called DRI (Distilled Reasoning Instruction)
- Created by distilling reasoning from GPT-4 across multiple domains
- Comprises 1,421,166 entries with step-by-step reasoning for complex problems
- Spans mathematics, logical reasoning, science, and programming
- Significantly improves LLM reasoning performance
- Released as fully open-source for research and development
Plain English Explanation
Think of teaching a child to solve problems. You wouldn’t just give them answers – you’d walk them through each step of the thinking process. That’s what this new dataset called [DRI (Distilled Reasoning Instruction)](https://aimodels.fyi/papers/arxiv/14-million-open-source-dis…