CoolFace
Datasetpublic

EmbodiedCity/BasicSpatialAbility

[ACL'25 Main] Defining and Evaluating Visual Language Models’ Basic Spatial Abilities: A Perspective from Psychometrics [!IMPORTANT] You can find the sample testing code on GitHub! This dataset is a benchmark designed for evaluating Multimodal Large Language Models' Basic Spatial Abilities based on authentic Psychometric theories. It is structured specifically to support both Zero-shot and Few-shot evaluation protocols. Split Name Role Description test Query Set… See the full description on the dataset page: https://huggingface.co/datasets/EmbodiedCity/BasicSpatialAbility.

sourceHugging Facemitupdated 7mo agoView on Hugging Face
0likes238downloads
NCIT_10.png4 linesDownload Raw Back to test
1version https://git-lfs.github.com/spec/v12oid sha256:a23598eaf4407c035f538f75e3d22eb1270aa299f57ddce0868ba5323e8e41d83size 955894