Dataset Card for Dataset Name MetaFold Dataset is a point cloud trajectory dataset designed for multi category garment folding tasks in robotic manipulation. Dataset Details Dataset Description Curated by: Haonan Chen, Junxiao Li, Ruihai Wu, Yiwei Liu, Yiwen Hou, Zhixuan Xu, Jingxiang Guo, Chongkai Gao, Zhenyu Wei, Shensi Xu, Jiaqi Huang, Lin Shao License: CC BY NC ND 4.0 Dataset Sources [optional] Repository: https://huggingface.co/datasets/chenhn02/MetaFold Paper: MetaFold: Language Guided Multi Category Garment Folding Framework via Trajectory Generation and Foundation Model Website: https://meta fold.github.io/ Dataset Structure The dataset categories is inherited from ClothesNet. Each garment category has a corresponding name (e.g., DLG stands for Dress Long Gallus ). Four Folding Types in MetaFold 1. No Sleeve Folding Categories: DLG (Dress Long Gallus) DLNS (Dress Long NoSleeve) DLT (Dress Long Tube) DSNS (Dress Short NoSleeve) SL (Skirt Long) SS (Skirt Short) TCNC (Top Collar NoSleeve FrontClose) TCNO (Top Collar NoSleeve FrontOpen) THNC (Top Hooded NoSleeve FrontClose) TNNC (Top NoCollar NoSleeve FrontClose) Total garments: 666 Folding procedure (1 stage): 1. Fold from bot…
Runs entirely in your browser via DuckDB-Wasm — this dataset's real data file is loaded once, then queried locally. Nothing is sent to a server.
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy