AdaptLLM/remote-sensing-VQA-benchmark
Adapting Multimodal Large Language Models to Domains via Post-Training (EMNLP 2025) This repos contains the remote sensing 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… See the full description on the dataset page: https://huggingface.co/datasets/AdaptLLM/remote-sensing-VQA-benchmark.
Update README.md
Update README.md
Update README.md
Update README.md
Update README.md
Upload folder using huggingface_hub
Update README.md
initial commit
