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.

BodSUM-6000是专为生成式藏文摘要研究打造的高质量数据集。该数据集涵盖6000条藏语文本、人工撰写的摘要及对应新闻标题。数据以CSV格式存储，每条数据包含四个字段：ID（数据编号）、Title（新闻标题）、SUM（人工撰写的摘要）以及Text（对应藏语文本）。数据集内的摘要简洁准确、行文流畅，且经过严格的主客观评估，以保障数据质量的可靠性。本数据集可为相关领域的算法优化与技术发展提供坚实支撑。

搜集汇总

背景与挑战

背景概述

BodSUM-6000是一个专门为生成式藏文文本摘要研究设计的高质量数据集，包含6000个藏文文本、人工撰写的摘要及对应新闻标题。数据以CSV格式存储，包含ID、标题、摘要和原文四个字段，摘要经过严格评估，确保简洁、准确、流畅，为相关领域的算法优化和技术发展提供支持。