Malicious Paper Bidding Dataset

恶意论文投标数据集是由卡内基梅隆大学创建的，专门用于研究同行评审过程中的恶意投标行为。该数据集包含56个参与者的投标数据，这些参与者在模拟会议活动中被指导以诚实或恶意的方式进行投标。数据集不仅包括投标数据，还提供了参与者行为的描述和不同策略的分类。此数据集的应用领域主要集中在评估和开发检测恶意投标行为的算法，以增强同行评审过程的公正性和效率。

The Malicious Paper Bidding Dataset was developed by Carnegie Mellon University, specifically designed to study malicious bidding behaviors in the peer review process. This dataset contains bidding data from 56 participants, who were instructed to submit bids either honestly or maliciously during a simulated conference event. In addition to bidding data, the dataset also provides descriptions of participants' behaviors and classifications of different bidding strategies. Its primary application scenarios focus on evaluating and developing algorithms for detecting malicious bidding behaviors, so as to improve the fairness and efficiency of the peer review process.