Published November 25, 2019
| Version 2
Dataset
Open
US Patent Similarity Data
- 1. University of Hong Kong
- 2. Northwestern University
Contributors
Researchers:
- 1. Northwestern University
Description
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.
Notes
Files
cite_sims.zip
Files
(32.2 GB)
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md5:d51cef7d5582bd9f6877d3a9088fb1c0
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1.3 GB | Preview Download |
md5:6b3fa0e3e4229d25b5c3a15b4be47712
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8.1 GB | Preview Download |
md5:9824990e0cb0b605b7f434f4581ace0d
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5.2 GB | Preview Download |
md5:2f6020b8196cac2d8fb922eb89a232c8
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200.1 MB | Preview Download |
md5:95f735af0af3b098c7cdffb8b63c2884
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17.4 GB | Preview Download |