[π GitHub] [π Paper]
MM-K12 is a curated, high-quality dataset containing 10,000 multimodal math problems sourced from K-12 educational content. Each problem includes both textual and visual components, covering a wide range of mathematical topics (e.g., arithmetic, geometry, algebra). All problems have unique, verifiable answers, making the dataset ideal for supervised training, evaluation, and reward modeling in multimodal mathematical reasoning tasks.
The dataset⦠See the full description on the dataset page:
https://huggingface.co/datasets/Cierra0506/MM-K12.