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：本次语料库采集涉及多样任务场景与差异化的任务开放程度。本次采集采用双语输入形式，覆盖不同任务场景与开放层级，相关输入由中美两国的八款主流生成式人工智能（Generative Artificial Intelligence）工具完成处理。最终共计生成800份独立文档，构成本研究的科研样本语料库。该语料库具备如下特征：内容为中英双语，涵盖多类任务，采用多种模型实现构建，且呈现出双重开放度等级。