UzEDSA: Uzbek Emotion and Sentiment Analysis Dataset

UzEDSA (Uzbek Emotion and Sentiment Analysis Dataset) is an open-access dataset designed for emotion detection and sentiment analysis tasks in the Uzbek language. It has been developed to support Natural Language Processing (NLP) research for low-resource languages, with a particular focus on Uzbek. The dataset consists of curated and preprocessed Uzbek-language texts collected from various sources. Each text instance is annotated with corresponding sentiment or emotion labels, enabling its use in supervised machine learning and deep learning tasks. The dataset is suitable for training, evaluation, and benchmarking of modern NLP and Large Language Models (LLMs).UzEDSA（乌兹别克语情感与情绪分析数据集，Uzbek Emotion and Sentiment Analysis Dataset）是一款开源公开数据集，专为乌兹别克语的情绪检测与情感分析任务设计。其开发初衷是为低资源语言的自然语言处理（Natural Language Processing，NLP）研究提供支撑，尤其聚焦乌兹别克语领域。 该数据集包含从多渠道收集并经筛选与预处理的乌兹别克语文本。每个文本实例均标注有对应的情感或情绪标签，可应用于监督式机器学习与深度学习相关任务。本数据集适用于现代自然语言处理模型及大语言模型（Large Language Models，LLMs）的训练、评估与基准测试。