黑茶分级评价特征定义数据集

1、数据采集：从茶企云评茶助手管理系统获取黑茶的外形、汤色、香气、滋味、叶底五个维度评价数据，涵盖各等级对应分数及描述关键词，确保数据覆盖特级至二级全区间，构建多模态数据集。
2、数据处理：采用统计学方法处理数据，先清洗冗余信息，统一特征关键词表述；再对分数数据标准化，通过频数分析明确各级分数分布；最后提取外形、汤色、香气、滋味、叶底共5项核心特征，生成包括“视觉（对应外形、汤色、叶底）、嗅觉（对应香气）、味觉（对应滋味）、外形、汤色、香气、滋味、叶底”关键词特征集合、用相关性分析验证指标一致性，确保数据符合分级规则逻辑；
3、数据应用：该数据可用于黑茶分级自动化系统，通过匹配外形等特征及分数，快速判定等级；助力品质管控，规范生产；为市场定价、消费者选购提供依据，提升交易效率与透明度。

1. Data Collection: Obtain evaluation data of dark tea covering five dimensions including appearance, liquor color, aroma, taste and infused leaves from the Tea Enterprise Cloud-Based Tea Review Assistant Management System. The data includes scores and descriptive keywords corresponding to each grade, spans the full range from special grade to second grade, and constructs a multimodal dataset.
2. Data Processing: Process the data with statistical methods. First, clean redundant information and unify the expressions of feature keywords; then standardize the score data and clarify the score distribution of each grade through frequency analysis; finally, extract 5 core features including appearance, liquor color, aroma, taste and infused leaves, and generate a feature keyword set covering "visual (corresponding to appearance, liquor color and infused leaves), olfactory (corresponding to aroma), gustatory (corresponding to taste), appearance, liquor color, aroma, taste and infused leaves". Verify the consistency of indicators via correlation analysis to ensure the data conforms to the logic of grading rules.
3. Data Application: This data can be used for dark tea grading automation systems, which can quickly determine the grade by matching features such as appearance and scores; it assists quality control and standardizes production; it provides a basis for market pricing and consumer purchasing, thereby improving transaction efficiency and transparency.

搜集汇总

背景与挑战

背景概述

该数据集由贵州安顺瀑布茶业有限公司自行产生，规模为11.8Kb，无更新周期。数据集应用于黑茶产业全链条，涵盖生产、贸易和消费环节，通过外形、汤色、香气、滋味、叶底五个维度评价数据，为黑茶分级提供科学依据。数据处理包括数据采集、清洗、标准化和特征提取，确保数据符合分级规则逻辑。