OASum
收藏arXiv2025-09-30 收录
下载链接:
https://github.com/tencent-ailab/oasum
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资源简介:
该数据集名为OAsum,被用于评估基于方面的摘要方法。它与先前数据集在平均文本长度和方面数量上存在差异。在评估中,保留了长度少于1024个词元的样本。实验中选取了2000行数据进行研究,所涉及的任务是基于方面的摘要。
The dataset named OAsum is designed for evaluating aspect-based summarization methods. It differs from existing datasets in terms of average text length and the number of aspects. During the evaluation phase, samples with fewer than 1024 tokens are retained. For the experiments, 2000 rows of data were selected for the study, and the target task is aspect-based summarization.



