metadata

license: mit
tags:
  - infinite-dataset-hub
  - synthetic

DenimManufacturingProcess

tags: fabric_production, labor_conditions, energy_consumption) - A dataset containing information on various manufacturing processes for denim, aimed at regression tasks to optimize production methods based on labor conditions and energy consumption metrics.

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description:

The 'DenimManufacturingProcess' dataset is a curated collection of data points from different stages of the denim production cycle. It aims to facilitate machine learning models to identify the optimal manufacturing processes by considering various factors such as labor conditions and energy consumption. Each row represents a unique manufacturing process with corresponding attributes and outcomes. The dataset is tailored for regression analysis with the goal of improving production efficiency, worker safety, and energy sustainability in the denim industry.

CSV Content Preview:

ProcessID,ProcessName,LaborHours,EnergyConsumption,LaborConditionScore,ProductionEfficiencyScore,EnvironmentalImpactScore,WasteProductionScore
001,Spinning Wheel Pre-Conditioning,2.5,30,8,7,4,6
002,Dyeing Stage with Organic Dyes,1.8,45,9,6,8,5
003,Printing and Branding,1.2,25,7,8,6,7
004,Quality Check and Packaging,1.0,20,8,9,5,4
005,Shipping Preparation,0.5,15,9,7,3,5

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'denim':