茶叶是世界三大无酒精饮品之一，在我国有悠久的种植历史和广布的种植面积，贵州省投产的茶园有46.67万公顷，位居我国各省区投产茶园前茅，如何高效安全地控制茶园害虫，提高茶叶的产量和质量，一直是广泛关注的热点。利用天敌控制害虫在茶园虫害防控中得到了普遍应用。独栖蜂是茶园生态系统中一类重要的捕食性天敌，而且部分独栖蜂兼具传粉功能，在生态系统中起到独特的作用。人工巢穴技术（管巢法）利用独栖蜂在巢管中筑巢的特性，采集到的样本均是在当地生态系统生活与繁殖的物种，因此采集到的数据能更直接地反映出当地的生态条件，但是该方法周期较长、成本较高，可利用数据较为有限。本数据集利用人工巢穴技术收集了贵州省湄潭、久安、都匀三个主要茶叶产地生态茶园内原生境独栖蜂，内容包含了2021年在以上三地收集到的独栖蜂种类、数量、取食对象、筑巢习性、发生规律等相关信息。本数据集可为明确贵州省茶园独栖蜂种类及优势类群、并进一步研究其种群动态与生防潜力等提供数据基础。

Tea, with a long history of cultivation and widespread planting areas in China, is one of the world's top three non-alcoholic beverages. Guizhou has 466.7 thousand hectares of tea plantations, ranking first class among provinces and regions in China. How to effectively and safely control pests in tea plantations, and to improve tea yield and quality has been a research hotspot. The application of natural enemies to control pests in tea plantations has been widely studied and applied. Cavity-nesting Hymenoptera is an important group of predatory natural enemies in tea plantation ecosystems. In addition, some cavity-nesting Hymenoptera were also pollinators. Thus, this group Hymenoptera plays an unique role in the ecosystem. The artificial trap nest technique provides the nesting tubes for the cavity-nesting Hymenoptera. The harvested tubes were represented the character of the local ecosystem better than other methods since the nested tubes occupied by these Hymenoptera were all actual species living in the given habitats. However, this technique requires plenty of timing and labor input, which leads the limited data available so far. The present dataset was built based on data of cavity-nesting Hymenoptera living in eco-friendly tea plantations in three major tea-producing areas in Guizhou via the artificial trap nest technique. The dataset including information on cavity-nesting Hymenoptera species, quantities, prey ranges, nesting habits, and occurrence patterns, etc., was collected in 2021. It provides species list and dominant species and their basic needing characters, which allows further analyses on their population dynamics and biological control potentials.