800 AIGC docs

Corpus Collection Process: The corpus collection involved diverse task scenarios and varying degrees of task openness. Bilingual inputs were provided, encompassing different task scenes and levels of openness, processed by eight mainstream generative artificial intelligence tools from both China and the United States. Ultimately, a total of 800 independent documents were generated, forming the research sample corpus for this study. The corpus is characterized by bilingual content in both Chinese and English, encompassing multiple tasks, employing various models, and exhibiting a dual level of openness.

语料库采集流程：本次语料库采集涵盖多样化任务场景与不同层级的任务开放度。采集采用双语输入形式，覆盖不同任务场景与开放层级，由中美两国共八款主流生成式人工智能（Generative AI）工具完成处理。最终共生成800份独立文档，构成本研究的实验样本语料库。该语料库具备中英双语内容、覆盖多类任务、使用多模型构建且呈现双重开放层级的特征。