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---
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# Tibetan Pre-training Corpus
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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.
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## Dataset Description
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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:
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- Tibetan Wikipedia content (70% of the corpus)
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- Translated English Wikipedia entries on diverse topics
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- Journalistic content from reputable Tibetan-language sources
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- Medical domain content
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- Web-based sources
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All content has undergone text normalization, automated cleaning, and rule-based filtering to ensure quality while maintaining a cost-effective data processing pipeline.
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## Intended Uses
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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.
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## Citation Information
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If you use this dataset in your research, please cite:
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[Citation information for your paper]
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## License
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This dataset is licensed under CC-BY 4.0.
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