{"url":"/dataset/maze-dataset","name":"maze-dataset","full_name":null,"description_markdown":"This package provides utilities for generation, filtering, solving, visualizing, and processing of mazes for training ML systems. Primarily built for the [maze-transformer interpretability](https://github.com/understanding-search/maze-transformer) project. You can find our paper on it here: http://arxiv.org/abs/2309.10498\r\n\r\nThis package includes a variety of [maze generation algorithms](maze_dataset/generation/generators.py), including randomized depth first search, Wilson's algorithm for uniform spanning trees, and percolation. Datasets can be filtered to select mazes of a certain length or complexity, remove duplicates, and satisfy custom properties. A variety of output formats for visualization and training ML models are provided.","description_withheld":null,"homepage":"https://github.com/understanding-search/maze-dataset","introduced_date":"2023-09-19","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-configurable-library-for-generating-and","title":"A Configurable Library for Generating and Manipulating Maze Datasets","first_author":"Michael Igorevich Ivanitskiy","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Graphs","url":"/datasets/modality/graphs"},{"name":"Environment","url":"/datasets/modality/environment"},{"name":"Actions","url":"/datasets/modality/actions"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["maze-dataset"],"data_loaders":[{"repo":"https://github.com/understanding-search/maze-dataset","url":"https://github.com/understanding-search/maze-dataset","frameworks":["pytorch"]}],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}