license: cc-by-4.0
task_categories:
- text-generation
language:
- bo
size_categories:
- 100K<n<1M
Tibetan Pre-training Corpus
This dataset provides a comprehensive Tibetan language corpus developed for pre-training large language models. It contains carefully curated text from diverse sources to ensure broad coverage of the Tibetan language.
Dataset Description
The corpus consists of approximately 500,000 words of Tibetan text collected and processed specifically for large language model adaptation. The data has been sourced from:
- Tibetan Wikipedia content (70% of the corpus)
- Translated English Wikipedia entries on diverse topics
- Journalistic content from reputable Tibetan-language sources
- Medical domain content
- Web-based sources
All content has undergone text normalization, automated cleaning, and rule-based filtering to ensure quality while maintaining a cost-effective data processing pipeline.
Intended Uses
This dataset is specifically designed to support continued pre-training (CPT) of large language models to enhance their capabilities in Tibetan, a linguistically complex and digitally underrepresented language. The dataset aims to enable researchers to develop more inclusive language technologies that serve Tibetan-speaking communities.
Citation Information
If you use this dataset in your research, please cite:
[Citation information for your paper]
License
This dataset is licensed under CC-BY 4.0.