AugPerSumm: Augmented User Behavior Trajectory Data Collection for Personalized Summarization

<b>AugPerSumm</b> is a collection of augmented user behavior trajectories to improve the diversity (and size) of personalized summarization datasets.<br><br><b>SEED DATASETS</b>===============PENS -- https://aclanthology.org/2021.acl-long.7/OpenAI-RedditPersonalSumm -- https://proceedings.neurips.cc/paper_files/paper/2024/hash/b3c318cd7ee132d8a6b1895a2d6436c7-Abstract-Datasets_and_Benchmarks_Track.html<b>AUGMENTATION METHODS</b>=======================S3-IntraSDA-InterPENS-SHDeepSeek-R1-14BMistral-7BLlama-13BPerAugy (paper link: https://openreview.net/forum?id=JVx7Qi8tz3)<b>Code Link</b>: https://github.com/KDM-LAB/PerAugy-TMLR/