{"url":"/dataset/bongard-hoi","name":"Bongard-HOI","full_name":null,"description_markdown":"Bongard-HOI testifies to which extent your few-shot visual learner can quickly induce the true HOI concept from a handful of images and perform reasoning with it. Further, the learner is also expected to transfer the learned few-shot skills to novel HOI concepts compositionally.","description_withheld":null,"homepage":"https://github.com/NVlabs/Bongard-HOI/blob/master/README.md","introduced_date":"2022-05-27","introduced_date_note":null,"introduced_by":{"paper":"/paper/bongard-hoi-benchmarking-few-shot-visual","title":"Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions","first_author":"Huaizu Jiang","url":null},"license":{"name":"CC-BY-4.0","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Few-Shot Image Classification","url":"/task/few-shot-image-classification","datasets_with_task":"/datasets/task/few-shot-image-classification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Bongard-HOI"],"data_loaders":[{"repo":"https://github.com/nvlabs/bongard-hoi","url":"https://github.com/nvlabs/bongard-hoi","frameworks":["pytorch"]}],"num_papers_in_archive":12,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/few-shot-image-classification-on-bongard-hoi","task":"Few-Shot Image Classification","dataset_variant":"Bongard-HOI","rows":9,"metrics":["Avg. Accuracy"],"first_row_in_archive_order":{"model":"Human (Amateur)","paper":"/paper/bongard-hoi-benchmarking-few-shot-visual","metrics":{"Avg. Accuracy":"91.42"},"code_links":[{"title":"nvlabs/bongard-hoi","url":"https://github.com/nvlabs/bongard-hoi"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/cognitive-paradigms-for-evaluating-vlms-on","title":"A Cognitive Paradigm Approach to Probe the Perception-Reasoning Interface in VLMs","date":"2025-01-23","rows_on_this_dataset":2,"code_links":0,"syntology":null},{"paper":"/paper/cross-image-context-matters-for-bongard","title":"Support-Set Context Matters for Bongard Problems","date":"2023-09-07","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/bongard-hoi-benchmarking-few-shot-visual","title":"Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions","date":"2022-05-27","rows_on_this_dataset":5,"code_links":1,"syntology":null}],"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."}