{"url":"/dataset/novelcraft","name":"NovelCraft","full_name":null,"description_markdown":"Scene-focused, multi-modal, episodic data of the images and symbolic world-states seen\r\nby an agent completing a pogo-stick assembly task within a video game world. Classes consist of\r\nepisodes with novel objects inserted. A subset of these novel objects can impact gameplay and agent behavior. Novelty objects can vary in size, position, and occlusion within the images. Usable for novelty detection, generalized category discovery, and class-imbalanced classification.","description_withheld":null,"homepage":"https://novelcraft.cs.tufts.edu/","introduced_date":"2022-06-23","introduced_date_note":null,"introduced_by":{"paper":"/paper/novelcraft-a-dataset-for-novelty-detection","title":"NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds","first_author":"Patrick Feeney","url":null},"license":{"name":"CC-BY","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Anomaly Detection","url":"/task/anomaly-detection","datasets_with_task":"/datasets/task/anomaly-detection"},{"name":"3D Anomaly Detection","url":"/task/3d-anomaly-detection","datasets_with_task":"/datasets/task/3d-anomaly-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["NovelCraft"],"data_loaders":[],"num_papers_in_archive":2,"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."}