ByteDance Researchers Release InfiMM-WebMath-40: An Open Multimodal Dataset Designed for Complex Mathematical Reasoning

Practical Solutions for Enhancing Mathematical Reasoning with AI AI, especially through models like GPT-4, has boosted mathematical reasoning with advanced capabilities from innovative training methods like Chain-of-Thought prompting and data integration. Challenges in Math Reasoning Open-source models face hurdles due to the lack of multimodal datasets combining text and visuals. Proprietary models benefit from private data, causing a gap in performance. Introducing InfiMM-WebMath-40B Dataset InfiMM-WebMath-40B is a groundbreaking dataset by ByteDance and the Chinese Academy of Sciences. It combines text and visual math data from millions of web pages, enhancing model performance. Advantages of InfiMM-WebMath-40B This dataset boosts models' text and visual processing, bridging the performance gap between open-source and proprietary models. Models trained on it outshine others in benchmarks like MathVerse and We-Math. Implications for AI Development InfiMM-WebMath-40B raises the bar for Multimodal Large Language Models, underlining the need to integrate visuals for better math reasoning. It unlocks AI's potential in tackling complex math challenges.