jiyounglee0523/VisAlign
VisAlign: Dataset for Measuring the Alignment between AI and Humans in Visual Perception This is the test set of VisAlign (NeurIPS 2023 Datasets and Benchmarks Track), a dataset for measuring the degree of alignment between AI models and humans in visual perception. It contains 900 images across 8 categories. Ground-truth labels and per-image categories are withheld, and filenames are anonymized IDs — to evaluate your model, submit your predictions to the VisAlign Leaderboard.… See the full description on the dataset page: https://huggingface.co/datasets/jiyounglee0523/VisAlign.
anonymize filenames, drop per-image category column, shuffle rows
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Upload label-free test set (parquet)
Remove raw image folders (replaced by parquet)
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Fix link list formatting
Update dataset card: drop open-test-set naming, add paper/code links and citation
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Upload VisAlign open test set (labels withheld for leaderboard)
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