Design a Complete Multimodal RLVR Pipeline with Open-MM-RL, Vision-Language Prompting, Reward Scoring, and GRPO Export

A tutorial demonstrates how to load and inspect the Open-MM-RL multimodal dataset, including its structure and image distribution.

It implements answer-verification logic for multiple answer types to support verifiable rewards in multimodal reinforcement learning.

The workflow tests prompts with a vision-language model such as SmolVLM and checks response quality.

Finally, it exports examples into a GRPO-compatible format for training multimodal RL systems.