LINGJIAN5028/CHUBS
CHUBS: A Large-Scale Dataset of Chu Bamboo Slip Script Code | Paper (upcoming) Introduction This is a large-scale dataset of Chu bamboo slip (CBS, Chinese: 楚简, chujian) script, an ancient Chinese script used during the Spring and Autumn period over 2,000 years ago. This dataset consists of two parts: The main dataset where each example is an image and the corresponding text label. This part is contained in the glyphs.zip ZIP file. A character detection… See the full description on the dataset page: https://huggingface.co/datasets/LINGJIAN5028/CHUBS.
CHUBS: A Large-Scale Dataset of Chu Bamboo Slip Script
<div align="center"> <a href="https://github.com/THUNLP/Chujian">Code</a> | <a href="">Paper (upcoming)</a> </div>
Introduction
This is a large-scale dataset of Chu bamboo slip (CBS, Chinese: 楚简, chujian) script, an ancient Chinese script used during the Spring and Autumn period over 2,000 years ago. This dataset consists of two parts:
- The main dataset where each example is an image and the corresponding text label. This part is contained in the
glyphs.zipZIP file. - A character detection dataset where each example is a bamboo slip and the corresponding bounding boxes of each CBS character. This part is contained in the
detection-data.zipZIP file. - A POS tagging dataset where each example is a sentence and POS annotations (using the BIO format). This part is contained under the
pos-tagging-datadirectory.
This data is compiled to foster applications of NLP methods in the study of Chu bamboo slip script, and possibly other forms of ancient Chinese.
Data Source
The sources for this dataset are shown in the following list.
Copyright
As mentioned in the paper, the main CHUBS dataset is extracted and processed from existing openly available textbooks and quality-checked by our team. Compiling and analyzing such data is a common practice within the paleography field in ancient Chinese script, and we have consulted with legal experts to make sure that this data can be released under a permissive license such as Apache 2.0. The POS tagging data is annotated by our team, and also has no legal concerns related to its usage.
