Abstractive Tibetan Text Summarization Dataset BodSUM-6000

BodSUM-6000 is a high-quality dataset specifically designed for generative Tibetan summarization research. It contains 6000 Tibetan texts, manually written summaries, and corresponding news headlines. The data is stored in CSV format, with each entry consisting of four fields: ID (data number), Title (news headline), SUM (manually written summary), and Text (corresponding Tibetan text). The summaries in the dataset are concise, accurate, and fluent, having undergone rigorous subjective and objective evaluation to ensure the reliability of data quality. This dataset provides strong support for algorithm optimization and technological development in related fields.