visheratin/realworldqa

RealWorldQA dataset This is the benchmark dataset released by xAI along with the Grok-1.5 Vision announcement. This benchmark is designed to evaluate basic real-world spatial understanding capabilities of multimodal models. While many of the examples in the current benchmark are relatively easy for humans, they often pose a challenge for frontier models. This release of the RealWorldQA consists of 765 images, with a question and easily verifiable answer for each image. The… See the full description on the dataset page: https://huggingface.co/datasets/visheratin/realworldqa.

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