These are the machine-translated Kazakh and Russian versions of the RealWorldQA dataset. As a multimodal benchmark, RealWorldQA is specifically designed to evaluate the real-world spatial understanding and visual reasoning of models. Kazakh and Russian versions serve as a benchmark for evaluating how well models can understand physical environments, spatial relationships, and object attributes based on real-world images when prompted in Kazakh or Russian.… See the full description on the dataset page:
https://huggingface.co/datasets/issai/RealWorldQA_Kazakh_Russian.
