Aikyam-Lab/gridvqa-dataset

GridVQA-X Datasets GridVQA-X is the first diagnostic framework designed to objectively evaluate the faithfulness of post-hoc cross-modal explainers. By utilizing a closed-world synthesis logic with mathematically guaranteed unique ground-truth explanations, it provides a controlled testbed to isolate genuine cross-modal spatial reasoning from shallow shortcuts. Dataset Summary The dataset features S × S visual grids populated by geometric objects, paired with… See the full description on the dataset page: https://huggingface.co/datasets/Aikyam-Lab/gridvqa-dataset.

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