Booking-com/absa-dataset

TRABL数据集是一个用于旅游领域基于方面的情感分析（ABSA）的研究数据集，特别关注结构化情感元组和支持证据片段的联合提取。数据集包含来自酒店、景点和目的地的英文用户评论，每条评论由两名标注者根据精心设计的指南和质量控制程序进行标注。数据集支持细粒度意见挖掘和下游旅游应用，如推荐、评论摘要和属性类型检测。数据格式为JSONL，分为训练集、验证集和测试集。数据集还提供了标注过程、质量、统计信息和预期用途的详细信息。

The TRABL dataset is designed to support research on Aspect-Based Sentiment Analysis (ABSA) in the travel domain, with a particular focus on joint extraction of structured sentiment tuples and supporting evidence snippets. It consists of English user reviews from three travel-related domains: hotels, attractions, and destinations. Each review is annotated by two annotators following carefully designed guidelines and quality control procedures. The dataset enables training and evaluation of models for both fine-grained opinion mining and downstream travel applications such as recommendation, review summarization, and property type detection. The data is provided in JSONL format and is split into train, validation, and test sets. The README also details the annotation process, quality, statistics, and intended uses of the dataset.