license: mit
tags:
- infinite-dataset-hub
- synthetic
FashionMatImpact
tags: sustainability, textile, machine learning
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'FashionMatImpact' dataset is designed to assist Machine Learning practitioners in understanding the environmental impact of various fashion materials. It contains information on different textiles, their sources, production processes, and the associated environmental footprint. Each row represents a unique material, with a focus on sustainability aspects such as water usage, carbon emissions, and waste generation. The dataset aims to facilitate research on sustainable fashion practices and the development of machine learning models to predict and mitigate the environmental impact of textile production.
CSV Content Preview:
Material,Source,ProductionProcess,WaterUsage(L/kg),CarbonEmissions(kg CO2/kg),WasteGenerated(kg/kg),Label
Organic Cotton,Plant,Cultivation and Harvesting,10,1.5,0.1,"Low Impact"
Linen,Plant,Harvesting and Spinning,20,2.5,0.2,"Medium Impact"
Polyester,Synthetic,Chemical Synthesis,100,3.0,1.5,"High Impact"
Recycled Polyester,Plastic Waste,Collection and Processing,60,1.8,0.5,"Medium-High Impact"
Coir,Plant,Harvesting and Processing,40,2.2,0.3,"Medium Impact"
Source of the data:
The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'fashion materials environment impact':
- Dataset Generation Page: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=fashion+materials+environment+impact&dataset=FashionMatImpact&tags=sustainability,+textile,+machine+learning
- Model: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- More Datasets: https://huggingface.co/datasets?other=infinite-dataset-hub