{"url":"/dataset/simitate","name":"Simitate","full_name":null,"description_markdown":"**Simitate** is a hybrid benchmarking suite targeting the evaluation of approaches for imitation learning. It consists on a dataset containing 1938 sequences where humans perform daily activities in a realistic environment. The dataset is strongly coupled with an integration into a simulator. RGB and depth streams with a resolution of 960×540 at 30Hz and accurate ground truth poses for the demonstrator's hand, as well as the object in 6 DOF at 120Hz are provided. Along with the dataset the 3D model of the used environment and labelled object images are also provided.\n\nSource: [https://arxiv.org/abs/1905.06002](https://arxiv.org/abs/1905.06002)\nImage Source: [https://github.com/raphaelmemmesheimer/simitate](https://github.com/raphaelmemmesheimer/simitate)","description_withheld":null,"homepage":"https://github.com/raphaelmemmesheimer/simitate","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/simitate-a-hybrid-imitation-learning","title":"Simitate: A Hybrid Imitation Learning Benchmark","first_author":"Raphael Memmesheimer","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Activity Recognition","url":"/task/activity-recognition","datasets_with_task":"/datasets/task/activity-recognition"},{"name":"Action Recognition","url":"/task/action-recognition-in-videos","datasets_with_task":"/datasets/task/action-recognition-in-videos"},{"name":"Imitation Learning","url":"/task/imitation-learning","datasets_with_task":"/datasets/task/imitation-learning"}],"languages":[],"variants":["Simitate"],"data_loaders":[{"repo":"https://github.com/raphaelmemmesheimer/simitate","url":"https://github.com/raphaelmemmesheimer/simitate","frameworks":["pytorch"]}],"num_papers_in_archive":5,"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."}