{"url":"/dataset/100stlye-labelled","name":"100STLYE-Labelled","full_name":null,"description_markdown":"Over 4 million frames of motion capture data for 100 different styles of locomotion. Can be used for animation, human motion and sequence modelling research.\r\n\r\nThis version of the dataset includes the features extracted from the raw motion capture data. This includes local phases, foot contacts, joint positions, joint rotations, joint velocities, character trajectory etc.","description_withheld":null,"homepage":"https://zenodo.org/record/8127870","introduced_date":"2022-01-12","introduced_date_note":null,"introduced_by":{"paper":"/paper/real-time-style-modelling-of-human-locomotion","title":"Real-Time Style Modelling of Human Locomotion via Feature-Wise Transformations and Local Motion Phases","first_author":"Ian Mason","url":null},"license":{"name":"Creative Commons Attribution 4.0 International License","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[],"tasks":[{"name":"Dependency Parsing","url":"/task/dependency-parsing","datasets_with_task":"/datasets/task/dependency-parsing"}],"languages":[],"variants":["100STLYE-Labelled"],"data_loaders":[],"num_papers_in_archive":15,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/dependency-parsing-on-100stlye-labelled","task":"Dependency Parsing","dataset_variant":"100STLYE-Labelled","rows":1,"metrics":["10°5 cm"],"first_row_in_archive_order":{"model":"nlp","paper":"/paper/the-cmu-metal-farsi-nlp-approach","metrics":{"10°5 cm":"nlp"},"code_links":[{"title":"wfeely/farsiNLPTools","url":"https://github.com/wfeely/farsiNLPTools"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/the-cmu-metal-farsi-nlp-approach","title":"The CMU METAL Farsi NLP Approach","date":"2014-05-01","rows_on_this_dataset":1,"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."}