Language Class Chinese Streamline Icon: https://streamlinehq.com
Help Question 1 Streamline Icon: https://streamlinehq.com
Corpus No.

Corpus No.:

Archaic Transcriptions:

Modernized Transcriptions:

📚 Page Notes

This page's "Multimodal Integrated Oracle Bone Rubbing-Transcription Viewing" module, includes a total of 10,077 rubbing images, 21,941 sentences and 115,319 characters, and provides an display interface for inspecting images, as well as both the archaic and modernized forms of oracle bone transcriptions. The rubbing images and transcribed characters displayed here on the page are sourced and generated entirely from the labelled data in the Multi-modal Oracle Bone Dataset that was released on July 5th, 2024. The said dataset was built by "Oracle Bone Digital Laboratory" of Anyang Normal University, Tencent SSV Digital Culture Lab, Tencent YouTu Lab, Oracle Bone and Yin-Shang History Research Center of Chinese Academy of Social Sciences, Anyang Workstation of Archaeology Institute of Chinese Academy of Social Sciences, Key Laboratory of Multimedia Trust Perception and Efficient Computing at Xiamen University, and Chinese Characters and Civilization Research Center at Zhengzhou University, with support from professional research institutions such as the Institute of Ancient History of Chinese Academy of Social Sciences, University of Cambridge, École des Hautes Études en Sciences Sociales, Ritsumeikan University, Rutgers University, and University of California, Los Angeles. The main purpose of this page is to provide a web-based visualization and interactive interface for the display of the dataset, making it easier for users to view and study oracle bones, fully utilizing the results of the "Multi-modal Dataset", and for learning and conducting research on oracle bone characters, lingustic templates, and decipherment results from both the archaic and modernized forms of the transcriptions.

The application of the dataset on this page follows the CC BY-NC-SA 4.0 license. When citing, please refer to the original dataset's source and author information here.

📖 Citation

@misc[2407.03900,
Author = {Bang Li and Donghao Luo and Yujie Liang and Jing Yang and Zengmao Ding and Xu Peng and Boyuan Jiang and Shengwei Han and Dan Sui and Peichao Qin and Pian Wu and Chaoyang Wang and Yun Qi and Taisong Jin and Chengjie Wang and Xiaoming Huang and Zhan Shu and Rongrong Ji and Yongge Liu and Yunsheng Wu},
Title = {Oracle Bone Inscriptions Multi-modal Dataset},
Year = {2024},
Eprint = {arXiv:2407.03900},
]