Datasets › 100STLYE-Labelled

100STLYE-Labelled

Introduced by Ian Mason et al. in Real-Time Style Modelling of Human Locomotion via Feature-Wise Transformations and Local Motion Phases12 Jan 2022 archive 2025-07-28

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.

This 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.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Dependency Parsing 100STLYE-Labelled nlp 10°5 cm nlp The CMU METAL Farsi NLP Approach wfeely/farsiNLPTools 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 15. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
The CMU METAL Farsi NLP Approach 1 1 1 May 2014 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Creative Commons Attribution 4.0 International License

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • 100STLYE-Labelled

1 variant name, as the archive lists them.

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