AI Self-Detection Study Dataset

该数据集包含了50篇由人工智能生成的文章和50篇由人类编写的文章，这些文章覆盖了50个不同的话题。该数据集旨在分析各类人工智能模型在自我检测能力方面的表现。此外，数据集还包含了自我检测测试的结果，其结构设计便于比较人工智能生成文本与人类编写文本之间的差异。总共有100篇文章（其中50篇由人工智能生成，50篇由人类编写），任务是对比分析人工智能生成文本与人类编写文本的自我检测能力。

This dataset comprises 50 articles generated by artificial intelligence (AI) and 50 articles written by humans, covering 50 distinct topics. The dataset aims to analyze the performance of various AI models in terms of their self-detection capabilities. Furthermore, the dataset includes the results of self-detection tests, whose structural design facilitates the comparison of differences between AI-generated texts and human-written texts. In total, there are 100 articles (50 AI-generated and 50 human-written), and the task is to comparatively analyze the self-detection capabilities of AI-generated texts and human-written texts.