A Dataset on Product Diversity and Performance in Livestreaming E-commerce

This dataset contains detailed information from 1,556 jade livestreaming sessions on Douyin (China's leading short-video platform) collected in March\u2013April 2024. It captures multidimensional product-level features\u2014including product type, price, popularity, and visibility\u2014alongside livestream-level performance metrics such as gross merchandise volume (GMV) and fan growth. Streamer characteristics (e.g., fan count, sales history, experience) are also included. The dataset was collected via Daduoduo.com and processed using Python-based web crawlers and natural language processing techniques (e.g., LDA for product categorization). This dataset enables research on assortment strategies, consumer behavior, and performance optimization in livestreaming commerce, particularly for non-standardized, high-involvement products like jade.