{"url":"/dataset/ao-clevr","name":"AO-CLEVr","full_name":null,"description_markdown":"**AO-CLEVr** is a new synthetic-images dataset containing images of \"easy\" Attribute-Object categories, based on the CLEVr. AO-CLEVr has attribute-object pairs created from 8 attributes: { red, purple, yellow, blue, green, cyan, gray, brown } and 3 object shapes {sphere, cube, cylinder}, yielding 24 attribute-object pairs. Each pair consists of 7500 images. Each image has a single object that consists of the attribute-object pair. The object is randomly assigned one of two sizes (small/large), one of two materials (rubber/metallic), a random position, and random lightning according to CLEVr defaults.\n\nSource: [https://github.com/nv-research-israel/causal_comp](https://github.com/nv-research-israel/causal_comp)\nImage Source: [https://github.com/nv-research-israel/causal_comp](https://github.com/nv-research-israel/causal_comp)","description_withheld":null,"homepage":"https://github.com/nv-research-israel/causal_comp","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/a-causal-view-of-compositional-zero-shot","title":"A causal view of compositional zero-shot recognition","first_author":"Yuval Atzmon","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Zero-Shot Learning","url":"/task/zero-shot-learning","datasets_with_task":"/datasets/task/zero-shot-learning"},{"name":"Compositional Zero-Shot Learning","url":"/task/compositional-zero-shot-learning","datasets_with_task":"/datasets/task/compositional-zero-shot-learning"}],"languages":[],"variants":["AO-CLEVr"],"data_loaders":[{"repo":"https://github.com/nv-research-israel/causal_comp","url":"https://github.com/nv-research-israel/causal_comp","frameworks":[]}],"num_papers_in_archive":6,"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."}