USPTO Datasets

Contains Artificial Intelligence Patent Landscape data classifying 13,244,037 granted patents and PGPubs published from 1976 through 2023 in eight AI component technologies using state-of-the art machine learning based models.

Contains detailed information on roughly 10.0 million patent assignments and other transactions recorded at the USPTO since 1970 and involving roughly 17.8 million patents and patent applications. For more information: http://www.uspto.gov/learning-and-resources/electronic-data-products/data

Contains detailed information on 1.29 million assignments and other transactions recorded at the USPTO between 1952 and 2023 and involving 2.28 million unique trademark properties. For more information: https://www.uspto.gov/learning-and-resources/ip-policy/economic-research/research-datasets

Contains detailed information on 12.1 million trademark applications filed with or registrations issued by the USPTO between 1870 and January 2023. For more information: https://www.uspto.gov/learning-and-resources/ip-policy/economic-research/research-datasets

Contains detailed U.S. District Courts patent litigation data on 81,350 unique court cases filed during the period 1963 - 2020. The data was collected from the Public Access to Court Electronic Records (PACER) and RECAP as sources for all of the content. The final output datasets, provided in five different files, include information on the litigating parties involved and their attorneys; the cause of action; the court location; important dates in the litigation history; and, covering over 5 million document level information from the docket reports, descriptions of all documents submitted in a given case.

Contains detailed information on more than 13 million publicly viewable patent applications filed with the USPTO along with more than 1 million PCT applications through June 2023. The data files include information on each application's characteristics, prosecution history, continuation history, claims of foreign priority, patent term adjustment history, publication history, and correspondence address information.

Contains detailed information on 4.4 million Office actions mailed from 2008 through June 2017 for 2.2 million publicly viewable patent applications. The data are sourced from the text of Non-Final Rejection and Final Rejection Office actions issued by patent examiners to applicants during the patent examination process. The data files include information on grounds for rejection raised, the claims in question, and pertinent prior art.

Contains detailed information on claims from U.S. patents granted between January 1976 and December 2014 and U.S. patent applications published between March 15, 2001 and December 2014. The dataset is derived from the Patent Grant Full Text and Patent Application Full Text bulk data files. The Office of Chief Economist (OCE) applied a Python algorithm to identify individual claims as well as the dependency relationship between claims. From the parsed claims text, OCE created six data files containing individually-parsed claims, claim-level statistics, and document-level statistics, including newly-developed measures of patent scope.

This curated dataset consists of 269,353 patent documents (published patent applications and granted patents) spanning the 1976 to 2016 period and is intended to help identify promising R&D on the horizon in diagnostics, therapeutics, data analytics, and model biological systems.

Contains four research datasets containing time series and micro-level data by National Bureau of Economic Research (NBER) technology sub-category on applications, grants, and in-force patents spanning two centuries of innovation. For more information: https://www.uspto.gov/learning-and-resources/ip-policy/economic-research/research-datasets