SAT: Dynamic Spatial Aptitude Training for Multimodal Language Models
This dataset is part of the SAT (Spatial Aptitude Training) project, which introduces a dynamic benchmark for evaluating and improving spatial reasoning capabilities in multimodal language models.
SAT-v2 is a comprehensive spatial reasoning benchmark containing over 300,000… See the full description on the dataset page:
https://huggingface.co/datasets/array/SAT-v2.