How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard
This project is a comprehensive dataset and archive of classical Chinese poetry, prose, and Confucian classics. It serves as a digital humanities corpus, providing machine-readable access to hundreds of thousands of poems and detailed poet biographies, specifically spanning the Tang and Song dynasties. The collection is distinguished by its scholarly depth, incorporating textual variation annotations to track disputed characters across different source editions. It also includes tonal pattern mapping to describe the rhythmic and phonetic structures of the verse, alongside a popularity ranking
The main features of hankcs/opencorpus are: Corpus and Datasets.
Projects with overlapping indexed features include: chineseglue/chineseglue — Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard. cnschema/cnschema. crownpku/small-chinese-corpus. dbiir/uer-py — Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo. dongxiexidian/chinese. chinese-poetry/chinese-poetry — This project is a comprehensive dataset and archive of classical Chinese poetry, prose, and Confucian classics. It…