Oracle bone fragment image dataset

Oracle bone inscriptions record valuable information about ancient Chinese history in Shang Dynasty. However, many complete oracle bones have broken into pieces over the years, resulting in disjointing sentences. This poses a serious challenge in rejoining oracle bone fragments and interpreting the inscriptions. With oracle bone fragments scattered around the world, researchers have turned their attention to artificial intelligence algorithms to piece together oracle bone fragment images. This paper presents a benchmark datasets for rejoining oracle bone fragment. The benchmark consists of three parts. The first part consists of 5374 high-resolution oracle bone fragment images. The second part consists of 110 oracle bone fragment image pairs that can be rejoined together, including the rejoinable location. The third part consists of the images of oracle bone pairs with matching shapes from multiple sources, divided into two categories: 23,072 rejoinable images and 116003 unrejoinable images. The dataset can be used to evaluate the performance oracle bone rejoining algorithms, the dataset also contains undiscovered rejoinable fragments, which offer promising opportunities for further analysis.