jablonkagroup/rise_ai_scientists

该数据集是伴随论文《AI科学家在不科学推理的情况下产生结果》的*Corral*集合的一部分。它包含了**文献计量证据**，展示了**AI科学家**在化学和材料科学领域相对于**一般AI化学**日益增长的相关性和影响力。核心发现是AI科学家在科学景观中迅速获得重要性：他们的产出、工具和研究影响力超过了普通AI化学工作，标志着自然科学领域向领域专家AI的结构性转变。该资源设计用于**科学计量分析**、趋势预测和AI科学家系统的基准测试，而非通用模型预训练。

This dataset is part of the *Corral* collection accompanying the paper [*AI scientists produce results without reasoning scientifically*](https://arxiv.org/abs/2604.18805). It contains the **bibliometric evidence** for the growing relevance and impact of **AI scientists** in chemistry and materials science compared to **general AI for chemistry**. The central finding is that AI scientists are rapidly gaining importance in the scientific landscape: their outputs, tools, and research impact are outpacing those of general AI for chemistry works, signaling a structural shift toward domain-specialist AI in the natural sciences. This resource is designed for **scientometric analysis**, trend forecasting, and benchmarking of AI scientist systems — not for general-purpose model pre-training.