BodSUM-6000:生成式藏文文本摘要数据集OA

The dataset is the foundation for automatic text summarization,and its quality directly determines the performance of summarization systems.Currently,research on Tibetan text summarization suffers from a lack of publicly available,high-quality open-source datasets,which has constrained progress in this field.To fill this gap,news texts were collected from various Tibetan websites,and human-written summaries were created for each text.Additionally,both subjective and objective evaluation methods were used to comprehensively assess the matching between Tibetan news texts and their corresponding human-written summaries,ensuring the quality of the data.Ultimately,BodSUM-6000,a dataset of high-quality abstractive Tibetan text summarization consisting of 6,000 text-summary pairs,was constructed.This dataset provides valuable data resources for training and evaluating abstractive Tibetan text summarization models,helping to address the limitations in the generalizability and accuracy of current Tibetan text summarization techniques,and promoting the further development of Tibetan automatic summarization research.