地球资源数据云——数据资源详情

人工智能与人类科学文本数据集 (AIGTxt)

该数据集《AI vs Human Scientific Text Dataset (AIGTxt)》主要用于监督学习任务，数据形态以文本为主，应用场景偏向文本内容分析。 题目说明：Collection of human, AI, and mixed scientific texts for detection research 任务类型：文本监督学习。 建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：未检测到标准 CSV，可优先查看目录中的索引或说明文件。 he AI vs Human Scientific Text Dataset (AIGTxt) is created to support research on detecting AI - generated scientific writing. It contains 10,821 paragraphs across ten domains, including Computer Science, Medicine, Social Sciences, and more. Context & Inspiration: With AI models like ChatGPT producing highly human - like text, distinguishing AI - written content from human writing has become crucial. This dataset was inspired by the need to study linguistic and stylistic differences and to benchmark AI text detection methods. Sources & Composition: Human - written texts: Extracted from academic papers (Introduction, Background, or Literature Review sections). ChatGPT - generated texts: Manually rephrased versions of the human texts.