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US Patent Similarity Data
Pairwise semantic similarity measures for US utility patents. Includes measures for citing/cited patent pairs, 100 most-similar patents for each patent, and doc2vec vectors for each patent. Second edition includes .npy file needed to generate new text embeddings using the pre-trained model.
File Size30.0 GB
Data TypeDataset
Published2019
Licensecc-by-4.0
Total Views3,959
Total Downloads3,060
Pairwise semantic similarity measures for US utility patents. Includes measures for citing/cited patent pairs, 100 most-similar patents for each patent, and doc2vec vectors for each patent. Second edition includes .npy file needed to generate new text embeddings using the pre-trained model.
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Files are hosted on the source repository. Click download to access the full dataset.
Whalen, Ryan (2019). US Patent Similarity Data. https://doi.org/10.5281/zenodo.7735726