AdaptLLM/food-VQA-benchmark

Adapting Multimodal Large Language Models to Domains via Post-Training (EMNLP 2025) This repos contains the food visual instruction tasks for evaluating MLLMs in our paper: On Domain-Specific Post-Training for Multimodal Large Language Models. The main project page is: Adapt-MLLM-to-Domains 1. Download Data You can load datasets using the datasets library: from datasets import load_dataset # Choose the task name from the list of available tasks task_name =… See the full description on the dataset page: https://huggingface.co/datasets/AdaptLLM/food-VQA-benchmark.

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