USPTO Datasets

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

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.

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 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 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.

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 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 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.

The USPTO receives millions of patent applications and supporting documents each year. During the application process, inventors sometimes submit documents using alternative versions of their names. As raised in the USPTO directors blog (dated September 08, 2021), this can limit the office’s ability to accurately certify the number of applications from a specific inventor and determine whether inventors are following application fee rules and regulations. Certifications submitted with errors often mean longer wait times for all applicants.

Prior to this sample USPTO dataset, identifying patent application discrepancies required manually reviewing millions of documents to match names and signatures. Patent documents come in different formats and languages and can contain multiple inventors for each application. Signatures exist in various locations within a document, making signature to applicant name matching challenging.

This sample USPTO research dataset provides images of signatures extracted from inventor oath documents.  This data set could be used for validation of micro entity certifications or other research purposes. It includes 883,811 applications and oath document signature images. Its is 40.5 GB of total size and is broken as 8 zip files for the following Patent Application Series:

Application # Series	Applications	Signature Counts
12	160,116	292,354
13	156,284	282,303
14	159,067	304,182
15	154,964	305,029
16	134,728	260,884
17	58,718	112,406
29	58,125	84,123
35	1,809	1,984
Total	883,811	1,643,265

 

Each of these zip files contain folders for each application number in a given series. The application folders contain the oath document identifier that includes the image(s) of the signature(s) as PNG, and JSON file that contains the application number, the inventor name(s), and confidence level of the signature extraction algorithm.

Fun Fact: This research data set includes a few celebrity signature images such as Elon Musk and Lori Greiner. See if you can identify the others!