AgroInstruct

该数据集是一个专为农业领域构建的70,000条专家调优数据集，它融合了多样化的农业数据集和大型语言模型。该数据集旨在提升AgroGPT模型在细粒度农业概念方面的能力，具体用于识别作物疾病、昆虫和杂草等任务。

This is a 70,000-sample expert-tuned dataset constructed specifically for the agricultural domain. It integrates diverse agricultural datasets and leverages large language models. The dataset aims to enhance the capabilities of the AgroGPT model in fine-grained agricultural conceptual scenarios, and is specifically tailored for tasks such as crop disease, insect and weed identification.