{"url":"/dataset/mi-motion","name":"MI-Motion","full_name":"Multi-Person Interaction Motion","description_markdown":"**Multi-Person Interaction Motion (MI-Motion) Dataset** includes skeleton sequences of multiple individuals collected by motion capture systems and refined and synthesized using a game engine. The dataset contains 167k frames of interacting people's skeleton poses and is categorized into 5 different activity scenes.","description_withheld":null,"homepage":"https://github.com/xiaogangpeng/socialtgcn","introduced_date":"2023-06-23","introduced_date_note":null,"introduced_by":{"paper":"/paper/the-mi-motion-dataset-and-benchmark-for-3d","title":"The MI-Motion Dataset and Benchmark for 3D Multi-Person Motion Prediction","first_author":"Xiaogang Peng","url":null},"license":{"name":"MIT License","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[],"languages":[],"variants":["MI-Motion"],"data_loaders":[],"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."}