Perturbation Data for AI-Text Detection
收藏arXiv2025-09-30 收录
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https://github.com/zhouying20/ai-text-detector-evaluation
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资源简介:
该数据集整合了多种文本扰动方法,旨在评估人工智能文本检测器在面对被操纵文本时的鲁棒性。具体来说,该数据集包含了12种黑盒扰动方法,设计这些方法是为了模拟现实世界中可能影响人工智能文本检测的各种场景。该数据集的任务是对人工智能文本检测性能进行评估。
This dataset integrates multiple text perturbation methods, aiming to evaluate the robustness of AI text detectors against manipulated texts. Specifically, this dataset includes 12 black-box perturbation methods, which are designed to simulate various real-world scenarios that may impact AI text detection. The task of this dataset is to assess the performance of AI text detectors.
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