knitting-dataset

This dataset presents comprehensive information on the structural and physical properties of various knitted fabric samples, including both weft and warp knitted fabrics. The data were collected to support research in textile engineering, particularly focusing on the influence of knitting parameters on fabric behavior. The dataset is generated using knitting production report collected from June to August 2023. The dataset contains 12569 rows and 38 columns. It includes measurements of loop length, GSM (grams per square meter), fabric construction, composition, body parts, yarn counts, machine dia, machine gauge, fabric dia, etc. The dataset can be used in predicting and classifying the most important parameters such as GSM, Stitch length, rejection etc. Different types of data mining can also be performed here such as the interrelation of GSM and stitch length for various types of fabric construction. New features can also be generated using domain knowledge.本数据集提供各类针织面料样品的结构与物理性能综合信息，涵盖纬编与经编两大类针织面料。本数据集采集自2023年6月至8月的针织生产报表，旨在为纺织工程领域的研究提供支撑，尤其聚焦于编织参数对面料性能的影响。 本数据集基于2023年6月至8月的针织生产报表生成，共包含12569条数据记录与38个字段，涵盖线圈长度、每平方米克重（GSM, grams per square meter）、面料组织结构、成分、成衣部位、纱支数、机台直径、机台针距、面料直径等多项测量指标。 本数据集可用于预测与分类核心参数，如每平方米克重、线圈长度、面料拒收率等；还可开展各类数据挖掘任务，例如探究不同面料组织结构下每平方米克重与线圈长度之间的内在关联；亦可结合领域专业知识生成新的特征变量。