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principle string | id int64 | num int64 | group_num string | qualifier_all bool | qualifier_exist bool | prop_shape bool | prop_color bool | non_overlap bool | prop_size bool | prop_count bool | resolution int64 | img_data list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
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YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Gestalt Pattern Reasoning Benchmark
This repository contains a dataset and benchmarking framework for Gestalt pattern reasoning. The dataset consists of thousands of procedurally generated visual patterns based on Gestalt principles, including proximity, similarity, closure, symmetry, and continuity. The benchmark is designed to evaluate both human and AI performance in recognizing and reasoning about these patterns.
Github
The Dataset Generator and Benchmark Evaluation Code is on the Github.
Dataset
principle_all_resolution_224_num_100.zip: includes 5 Gestalt Principles, each task has 100 examples for each labels. The image resolution is 224x224.
File Structure
Gestalt Reasoning Benchmark/
│── data/
│ │── raw_patterns/ # Unprocessed/generated raw patterns
│ │ │── proximity/
│ │ │ │── train/
│ │ │ │ │── 0001_red_triangle/
│ │ │ │ │ │── positive/
│ │ │ │ │ │ │── 00000.png
│ │ │ │ │ │ │── 00000.json
│ │ │ │ │ │ │── 00001.png
│ │ │ │ │ │ │── 00001.json
│ │ │ │ │ │ │── 00002.png
│ │ │ │ │ │ │── 00002.json
│ │ │ │ │ │── negative/
│ │ │ │ │ │ │── 00000.png
│ │ │ │ │ │ │── 00000.json
│ │ │ │ │ │ │── 00001.png
│ │ │ │ │ │ │── 00001.json
│ │ │ │ │ │ │── 00002.png
│ │ │ │ │ │ │── 00002.json
│ │ │ │── test/
│ │ │ │ │── 0001_red_triangle/
│ │ │ │ │ │── positive/
│ │ │ │ │ │ │── 00000.png
│ │ │ │ │ │ │── 00000.json
│ │ │ │ │ │ │── 00001.png
│ │ │ │ │ │ │── 00001.json
│ │ │ │ │ │ │── 00002.png
│ │ │ │ │ │ │── 00002.json
│ │ │ │ │ │── negative/
│ │ │ │ │ │ │── 00000.png
│ │ │ │ │ │ │── 00000.json
│ │ │ │ │ │ │── 00001.png
│ │ │ │ │ │ │── 00001.json
│ │ │ │ │ │ │── 00002.png
│ │ │ │ │ │ │── 00002.json
Citation
If you use the Gestalt Vision dataset in your research or work, please cite our paper:
@inproceedings{sha2025gestalt,
author = {Jingyuan Sha and Hikaru Shindo and Kristian Kersting and Devendra Singh Dhami},
title = {Gestalt Vision: A Dataset for Evaluating Gestalt Principles in Visual Perception},
booktitle = {Proceedings of the 19th International Conference on Neurosymbolic Learning and Reasoning (NeSy)},
year = {2025}
}
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