{"url":"/dataset/ikea-asm","name":"IKEA ASM","full_name":null,"description_markdown":"A three million frame, multi-view, furniture assembly video dataset that includes depth, atomic actions, object segmentation, and human pose. \r\n\r\nSource: [The IKEA ASM Dataset: Understanding People Assembling Furniture through Actions, Objects and Pose](/paper/the-ikea-asm-dataset-understanding-people)","description_withheld":null,"homepage":"https://ikeaasm.github.io/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/the-ikea-asm-dataset-understanding-people","title":"The IKEA ASM Dataset: Understanding People Assembling Furniture through Actions, Objects and Pose","first_author":"Yizhak Ben-Shabat","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"},{"name":"Pose Estimation","url":"/task/pose-estimation","datasets_with_task":"/datasets/task/pose-estimation"},{"name":"Temporal Action Localization","url":"/task/action-recognition","datasets_with_task":"/datasets/task/action-recognition"},{"name":"Unsupervised Action Segmentation","url":"/task/unsupervised-action-segmentation","datasets_with_task":"/datasets/task/unsupervised-action-segmentation"}],"languages":[],"variants":["IKEA ASM"],"data_loaders":[],"num_papers_in_archive":25,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/unsupervised-action-segmentation-on-ikea-asm","task":"Unsupervised Action Segmentation","dataset_variant":"IKEA ASM","rows":5,"metrics":["F1","Accuracy","JSD","Precision","Recall"],"first_row_in_archive_order":{"model":"HVQ","paper":"/paper/hierarchical-vector-quantization-for","metrics":{"Accuracy":"51.2","F1":"30.7","JSD":"64.8","Precision":"37.7","Recall":"25.9"},"code_links":[{"title":"fedespu/hvq","url":"https://github.com/fedespu/hvq"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/hierarchical-vector-quantization-for","title":"Hierarchical Vector Quantization for Unsupervised Action Segmentation","date":"2024-12-23","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/temporally-consistent-unbalanced-optimal","title":"Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation","date":"2024-04-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/unsupervised-activity-segmentation-by-joint","title":"Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering","date":"2021-05-27","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":0,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/unsupervised-learning-of-action-classes-with","title":"Unsupervised learning of action classes with continuous temporal embedding","date":"2019-04-08","rows_on_this_dataset":1,"code_links":2,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":2,"samples_ran":0,"samples_unverified":2,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":1,"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."}