This paper introduces ReflectSumm, a novel summarization dataset specifically designed for summarizing students' reflective writing. The goal of ReflectSumm is to facilitate developing and evaluating novel summarization techniques tailored to real-world scenarios with little training data, %practical tasks with potential implications in the opinion summarization domain in general and the educational domain in particular. The dataset encompasses a diverse range of summarization tasks and includes comprehensive metadata, enabling the exploration of various research questions and supporting different applications. To showcase its utility, we conducted extensive evaluations using multiple state-of-the-art baselines. The results provide benchmarks for facilitating further research in this area.

翻译：本文介绍了ReflectSumm，一个专为总结学生反思性写作而设计的新型摘要数据集。该数据集旨在促进开发和评估针对低训练数据真实场景的摘要技术，这些实际任务在观点摘要领域（尤其是教育领域）具有潜在应用价值。数据集涵盖了多样化的摘要任务，并包含丰富的元数据，可支持多种研究问题的探索和不同应用场景。为展示其效用，我们采用多个最先进的基线模型进行了广泛评估，实验结果提供了促进该领域进一步研究的基准参考。