datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.gstest6BasicSR_SR_testbasic_shapes_object_detection
Basic Shapes Object Detection
Description
This Basic Shapes Object Detection dataset has been created to test fine-tuning of object detection models. Fine-tuning some model to detect the basic shapes should be rather easy: just a bit of training should be enough to get the model to do correct object detection quite fast.
Each entry in the dataset has a RGB PNG image with a white background and 3 basic geometric shapes:
A blue square
A red circle
A green triangle
All… See the full description on the dataset page: https://huggingface.co/datasets/driesverachtert/basic_shapes_object_detection.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/ruaruaxu/BasicSpatialAbility.