{"url":"/dataset/actionet","name":"ActioNet","full_name":null,"description_markdown":"**ActioNet** is a video task-based dataset collected in a synthetic 3D environment. It contains 3,038 annotated videos and hierarchical task structures over 65 individual household tasks from 120 different scenes. Each task is annotated across three to five different scenes by 10 different annotators. The tasks can be broken down into four categories: living room, bedroom, bathroom, kitchen.\r\n\r\nSource: [https://github.com/SamsonYuBaiJian/actionet](https://github.com/SamsonYuBaiJian/actionet)","description_withheld":null,"homepage":"https://github.com/SamsonYuBaiJian/actionet","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/actionet-an-interactive-end-to-end-platform","title":"Actionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D Environment","first_author":"Jiafei Duan","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[],"languages":[],"variants":["ActioNet"],"data_loaders":[{"repo":"https://github.com/SamsonYuBaiJian/actionet","url":"https://github.com/SamsonYuBaiJian/actionet","frameworks":[]}],"num_papers_in_archive":1,"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."}