107 offices

Data

The files behind the site, what each holds and how they are made. Everything comes from Google Patents Public Data. The site is a view of these files; every number on a page traces to a field in one of them.

Documents, every office
173.5Mbibliographic data
Chinese documents
56.6Mwith titles and abstracts
United States documents
22.3Mwith titles and abstracts
Chinese abstracts in English
100%as well as in Chinese

What is held for each patent

Two records are held. The counts are made from bibliographic data for 107 patent offices: 173,516,400 published documents, each with the fields below apart from the title and abstract. The fuller record, described here, covers the United States and Chinese offices, in 14,412 files of 57 GB. Dates are whole numbers in the form 20180628, with 0 where none is held. Filled is the share of documents at each office that carry the field.

FieldTypeWhat it holdsFilled, United StatesFilled, China
publication_numberTextThe published document: office, number and kind. One application can have several.
100%
100%
application_numberTextThe application the document belongs to. Its last letter gives the kind: A for a patent, U for a utility model.
100%
100%
country_codeTextThe office that published it: US or CN.
100%
100%
kind_codeTextThe kind of document, such as A1 for a published application or B2 for a granted patent.
100%
100%
family_idTextShared by every document, at any office, that protects the same invention.
99.9%
100%
publication_dateDateWhen this document was published.
100%
100%
filing_dateDateWhen the application was filed at this office. The date the site counts by.
97%
100%
grant_dateDateWhen the patent was granted, if it has been.
61%
60%
priority_dateDateThe earliest filing anywhere that the application claims: the closest date to the invention.
97%
100%
title_localizedList of text, languageThe title, in each language held. Chinese patents carry Chinese and an English translation.
100%
100%
abstract_localizedList of text, languageThe abstract, in each language held: a paragraph on what the invention is and does.
80%
100%
inventor_harmonizedList of name, countryThe inventors, with names set in a standard form and, where known, their country.
97%
84%
assignee_harmonizedList of name, countryThe applicants or owners, with names set in a standard form and, where known, their country.
93%
85%
cpc_codesList of textCooperative Patent Classification codes.
96%
48%
ipc_codesList of textInternational Patent Classification codes.
90%
100%
  • Chinese granted patents filed since about 2012 carry no applicant or inventor. The names are on the published application, which shares the same application number.
  • An inventor's country is held for 83% of United States documents and 6% of Chinese ones; an applicant's for 73% and 6%.
  • An abstract is missing from one United States document in five, nearly all of them older patents.
  • Not held: the claims, the full description, drawings, citations and legal status.

Two records in full

One document from each office, as it is held. Dates are shown as stored.

United States · US-10452978-B2

Attention-based sequence transduction neural networks

publication_numberUS-10452978-B2
application_numberUS-201816021971-A
country_codeUS
kind_codeB2
family_id62873574
publication_date20191022
filing_date20180628
grant_date20191022
priority_date20170523
title_localized

English Attention-based sequence transduction neural networks

abstract_localized

English Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating an output sequence from an input sequence. In one aspect, one of the systems includes an encoder neural network configured to receive the input sequence and generate encoded representations of the network inputs, the encoder neural network comprising a sequence of one or more encoder subnetworks, each encoder subnetwork configured to receive a respective encoder subnetwork input for each of the input positions and to generate a respective subnetwork output for each of the input positions, and each encoder subnetwork comprising: an encoder self-attention sub-layer that is configured to receive the subnetwork input for each of the input positions and, for each particular input position in the input order: apply an attention mechanism over the encoder subnetwork inputs using one or more queries derived from the encoder subnetwork input at the particular input position.

inventor_harmonizedSHAZEER NOAM M (US) · GOMEZ AIDAN NICHOLAS (CA) · KAISER LUKASZ MIECZYSLAW (US) · USZKOREIT JAKOB D (US) · JONES LLION OWEN (US) · PARMAR NIKI J (US) · POLOSUKHIN ILLIA (US) · VASWANI ASHISH TEKU (US)
assignee_harmonizedGOOGLE LLC (US)
cpc_codesG06N3/045 G06N3/0454 G06N3/04 G06N3/08 G06N3/0455 G06N3/0499 G06N20/00 G06N3/09
ipc_codesG06N3/08 G06N3/04

China · CN-111490253-A

Negative pole piece and lithium ion secondary battery thereof

publication_numberCN-111490253-A
application_numberCN-201910085281-A
country_codeCN
kind_codeA
family_id71793986
publication_date20200804
filing_date20190129
grant_date0
priority_date20190129
title_localized

English Negative pole piece and lithium ion secondary battery thereof

Chinese 一种负极极片及其锂离子二次电池

abstract_localized

Chinese 本发明涉及锂离子二次电池的负极极片及其锂离子二次电池,更具体地涉及一种含有双层活性物质层的改善电芯倍率、循环性能、提高电芯能量密度的负极极片及其锂离子二次电池,包括常规集流体、片状的第一活性物质层和球形或类球形的第二活性物质层,使得电池兼具高动力学性能和高能量密度的优点。

English The invention relates to a negative pole piece of a lithium ion secondary battery and the lithium ion secondary battery, in particular to a negative pole piece which contains double active material layers and improves the multiplying power and the cycle performance of a battery core and the energy density of the battery core and the lithium ion secondary battery thereof.

inventor_harmonizedHUANG YAPING · ZHANG XIAOWEN · JIN HAIZU · LIN YONGSHOU
assignee_harmonizedNINGDE CONTEMPORARY AMPEREX TECH CO LTD
cpc_codesH01M4/70 H01M4/667 H01M10/0525 Y02E60/10 H01M4/66 H01M4/36
ipc_codesH01M4/66 H01M10/0525 H01M4/70

Downloads

The record of each patent is not offered for download. Content and data are published under CC BY 4.0; the code is MIT.

FileContentsFormat
Countries of originPatent families by country of origin and year: all, international and triadicJSON
Capability crosswalkVersion 0.3.0-draft: the classification entries chosen for each of 288 capabilities, with the kind of match and a noteJSON
Cooperative codes to capabilitiesEvery Cooperative classification entry that counts towards a capability, one row per code and capabilityCSV
International codes to capabilitiesEvery International classification code in use that counts towards a capability, one row per code and capabilityCSV
Families by capabilityPatent families by capability, capability group and domain, by country of origin and yearJSON
Families by classPatent families by classification section, class and subclass, for five countries of origin, by yearJSON
Largest applicantsThe applicants with the most patent families, with their country of originJSON
Classification schemeThe 9 sections, 137 classes and 681 subclasses, with their titlesJSON
OfficesApplications and publications for each of 107 patent offices, by kind and by year of filingJSON
The patent record, describedThe fields held for each patent, how often each is filled, and the two example recordsJSON