MEIR

该数据集名为MEIR，包含了经过处理的多媒体包，这些包在替换了命名实体（如人名、组织名、地点名）的同时保持了语义的一致性，旨在提升图像再利用检测研究的能力。此外，该数据集混合了处理过和未处理的包，并附有清晰的参考数据集。它的创建经历了三个阶段：数据整理、聚类和处理。规模上，该数据集包含了82,156个未篡改的包和57,940个被篡改的包。其任务是图像再利用检测。

This dataset is named MEIR. It contains processed multimedia packages where named entities (such as personal names, organization names and location names) have been replaced while preserving semantic consistency, aiming to advance research on image reuse detection. Additionally, the dataset mixes processed and unprocessed packages and is paired with a clearly defined reference dataset. Its development involves three stages: data curation, clustering and processing. In terms of scale, the dataset comprises 82,156 untampered packages and 57,940 tampered packages. The targeted task of this dataset is image reuse detection.