Towards Objective Abstracts and Keywords: The Helpful Hand of GenAI

Research Data for: "Towards Objective Abstracts and Keywords: The Helpful Hand of GenAI" This repository contains the complete dataset supporting the findings presented in the article "Towards Objective Abstracts and Keywords: The Helpful Hand of GenAI," scheduled for publication in the Journal of Scholarly Publishing. The data tracks a two-stage experiment involving Large Language Models (LLMs): Generation: LLMs were used to generate abstracts and keywords for a set of scholarly articles. Evaluation: A separate LLM was used to objectively assess the quality, relevance, and objectivity of the GenAI-generated outputs against the original author-written versions. This dataset is organized into three files: the generative prompts, the raw GenAI outputs, and the final comparative evaluation scores. The data enables full reproducibility of the analysis and conclusions presented in the paper.配套研究数据集：《迈向客观摘要与关键词：生成式AI（Generative AI）的助力之手》 本数据集仓库包含完整数据集，用以支撑即将发表于《学术出版期刊》（Journal of Scholarly Publishing）的论文《迈向客观摘要与关键词：生成式AI的助力之手》中的研究发现。 本数据集记录了一项涉及大语言模型（Large Language Model，LLM）的两阶段实验： 生成环节：使用大语言模型为一批学术文献生成摘要与关键词。 评估环节：使用另一款独立的大语言模型，对照作者原创文稿版本，对生成式AI产出内容的质量、相关性与客观性开展客观评估。 本数据集分为三类文件：生成提示词（generative prompts）、生成式AI原始产出文件，以及最终对比评估得分文件。本数据集可完整复现论文中呈现的全部分析过程与研究结论。