Comparison Dataset (AI-Annotated)
收藏arXiv2025-09-30 收录
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https://github.com/HITSZ-HLT/ST-w-Scorer-ABSA
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该数据集与人工标注的比较数据集相似,但采用的是大型语言模型(例如ChatGPT)进行标注。人工智能标注是通过使用精心设计的提示生成的,同时实施了一系列策略以提高标注质量。该数据集包含了大约2000个训练样本,其任务是对方面情感进行四元预测(Asqp)。
This dataset is analogous to manually annotated comparison datasets, but utilizes large language models (e.g., ChatGPT) for annotation. The AI-driven annotation process is generated using well-crafted prompts, with a series of strategies implemented to enhance annotation quality. This dataset comprises approximately 2000 training samples, with the core task being aspect-based sentiment quadruplet prediction (Asqp).
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