FabricFrontiers / README.md
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metadata
license: mit
tags:
  - infinite-dataset-hub
  - synthetic

FabricFrontiers

tags: TrendDetection, MaterialInnovation, SustainableFashion

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

Dataset Description: The 'FabricFrontiers' dataset is curated for machine learning practitioners aiming to analyze and predict upcoming fashion trends specifically within the Indian retail market. The dataset focuses on the latest material innovations, sustainable fashion, and consumer preferences. It includes a diverse range of textual data such as article excerpts, expert opinions, and social media buzz that reflect current trends and future possibilities. The dataset is annotated with relevant labels to help identify specific trend categories and predictive features.

CSV Content Preview:

trend_id,title,description,source,label
1,"Emerging Green Fabrics","New sustainable fabric options gaining popularity among Indian consumers.", "BlogPost","SustainableFashion"
2,"Bold Print Revival","Retailers in India are seeing a resurgence of vibrant print patterns in streetwear.", "IndustryReport","TrendDetection"
3,"Minimalist Street Style","A minimalist aesthetic is becoming the latest trend for the Indian urbanite.", "SocialMediaAnalysis","TrendDetection"
4,"Recycled Material Wearables","Innovative use of recycled materials in fashion is setting new sustainable trends.", "ExpertPanel","MaterialInnovation"
5,"Cultural Heritage Reinterpreted","Designers are blending traditional Indian motifs with modern fashion.", "ArticleExcerpt","CulturalInfluence"

In this sample, each row contains a unique identifier for the trend (trend_id), a descriptive title (title), a brief description (description), the source of the information (source), and a label indicating the trend category (label). The labels are invented for this example and could be further expanded to cover more specific aspects such as 'EthnicTrend', 'SeasonalForecast', 'DigitalFashion', etc., depending on the requirements of the machine learning model being trained.

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'upcoming Fashion trends in Indian retail market':