We introduce and describe the Patent Similarity Dataset, comprising vector space model‐based similarity scores for U.S. utility patents. The dataset provides approximately 640 million pre‐calculated similarity scores, as well as the code and computed vectors required to calculate further pairwise similarities. In addition to the raw data, we introduce measures that leverage patent similarity to provide insight into innovation and intellectual property law issues of interest to both scholars and policymakers. Code is provided in accompanying scripts to assist researchers in obtaining the dataset, joining it with other available patent data, and using it in their research.

中文翻译：

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专利相似性数据和创新指标

我们介绍并描述了专利相似性数据集，其中包括基于矢量空间模型的美国实用新型专利相似性评分。该数据集提供了大约6.4亿个预先计算的相似性得分，以及计算进一步的成对相似性所需的代码和计算向量。除原始数据外，我们还引入了利用专利相似性的措施，以提供对学者和决策者都感兴趣的创新和知识产权法律问题的见解。随附的脚本中提供了代码，以帮助研究人员获取数据集，将其与其他可用的专利数据结合起来并在研究中使用。