> ... we are introducing a new benchmark, RealWorldQA. 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.
> The initial release of the RealWorldQA consists of over 700 images, with a question and easily verifiable answer for each image. The dataset consists of anonymized images taken from vehicles, in addition to other real-world images ... RealWorldQA is released under CC BY-ND 4.0.
Will be interesting to see the feedback once someone has a change to look into the dataset (https://data.x.ai/realworldqa.zip).
Side note — I'm very impressed with their "Explaining a meme" example.