Dataset · MLC-0201 · [FULL TEXT]
Patents full text
1Description
Patents full text. 5,000 patent publications with bibliographic data, abstracts, full claims and CPC classification. Each publication has its own page with bibliographic data in INID order, the abstract, every claim and the opening of the description.
2Schema
| Field | Type | Description | Example | Coverage |
|---|---|---|---|---|
| publication_number | string | Publication number with kind code | US2026107667A1 | 100.0% |
| country | string | Publishing office (ISO 3166 code) | US | 100.0% |
| kind | string | Kind code | A1 | 100.0% |
| title | string | Title of the invention | Display device | 100.0% |
| abstract | string | Abstract | A display device includes a substrate having a... | 100.0% |
| claims | array | Claims, in order | 1. A display device comprising: a substrate having a... | 100.0% |
| description_excerpt | string | Opening of the description | The present disclosure relates to robotic inspection and... | 20.2% |
| cpc | array | CPC classification symbols | H10K 59/8792, H10K 59/131 | 100.0% |
| ipc | array | IPC classification symbols | B25J 9/16, G01N 21/88 | 20.1% |
| assignees | array | Assignees or applicants | GECKO ROBOTICS INC | 94.0% |
| inventors | array | Inventors | PADGETT JENNIFER, LOY HANNAH, DICKERHOFF RYAN | 20.1% |
| filing_date | date | Filing date | 2025-03-28 | 99.9% |
| publication_date | date | Publication date | 2026-04-16 | 100.0% |
| grant_date | date | Grant date | 2026-04-14 | 81.7% |
| priority_date | date | Earliest priority date | 2024-10-14 | 99.3% |
| application_number | string | Application number | 19/094,371 | 99.9% |
| family_id | string | Patent family identifier | 98219080 | 98.5% |
| citations | array | Cited publications | KR20010012220A, US2022312710A1, US6245717B1 | 94.6% |
3Sample records
Sample record: US12452531B2
{
"publication_number": "US12452531B2",
"country": "US",
"kind": "B2",
"title": "Apparatus and method for controlling a robot photographer with semantic intelligence",
"abstract": "An electronic device for controlling a photographic system may obtain a video stream and a user query for a target event, obtain a set of photos from the video stream, obtain at least one photoshoot suggestion based on the user query via a language model, obtain a snapped photo for the target event based on the at least one photoshoot suggestion, in response to a given video frame included in the video stream satisfying a target content criterion, and output one or more photos selected from the set of photos and the snapped photo as event photos.",
"claims": [
"1. An electronic device for controlling a photographic system, the electronic device comprising: a memory storing one or more instructions; and one or more processors configured to: obtain a video stream and a user query for a target event; obtain a set of photos from the video stream; obtain at least one photoshoot suggestion based on the user query via a language model; obtain a snapped photo for the target event based on the at least one photoshoot suggestion, in response to a given video frame included in the video stream satisfying a target content criterion; and output one or more photos selected from the set of photos and the snapped photo as event photos.",
"2. The electronic device of claim 1, wherein the given video frame meets the target content criterion when a similarity score between a text embedding extracted from the current video frame and an image embedding extracted from the at least one photoshoot suggestion, is greater than similarity scores between each of text embeddings extracted from previous video frames within the video stream and the image embedding extracted from the at least one photoshoot suggestion."
],
"description_excerpt": "1. Field The disclosure relates to an apparatus and a method for controlling a robot photographer with semantic intelligence, and particularly, to an apparatus and a method for controlling the robot photographer to capture event photos by interpreting user queries through a large language model. 2...",
"cpc": [
"H04N 23/66",
"B25J 11/00",
"B25J 13/003",
"B25J 19/023",
"B25J 9/163",
"B25J 9/1679",
"B25J 9/1697",
"G06F 3/167",
"G06F 40/00",
"G06F 40/30",
"G06T 2207/10016",
"G06T 2207/30244",
"G06T 7/70",
"H04N 23/61",
"H04N 23/64",
"H04N 23/667",
"H04N 23/695",
"H04N 23/90"
],
"ipc": [
"B25J 13/00",
"B25J 19/02",
"B25J 9/16",
"G06T 7/70",
"H04N 23/66"
],
"assignees": [
"SAMSUNG ELECTRONICS CO LTD"
],
"inventors": [
"RIVKIN DMITRIY",
"DUDEK GREGORY LEWIS"
],
"filing_date": "2023-09-26",
"publication_date": "2025-10-21",
"grant_date": "2025-10-21",
"priority_date": "2022-09-29",
"application_number": "US-202318373078-A",
"family_id": "90470253",
"citations": [
"CN106101536A",
"CN113228620A",
"CN115002340A",
"EP4195658A1",
"JP2006254222A",
"JP2007306200A",
"KR102458463B1",
"KR20140147462A",
"US10094655B2",
"US12309447B2",
"US2016019240A1",
"US2020372116A1",
"US2021117471A1",
"US2022166919A1",
"US2022172426A1",
"US2024412542A1",
"US2025104392A1",
"US9570107B2",
"WO2018097889A1",
"WO2021028656A1",
"WO2022011534A1",
"WO2022226140A1"
]
}
4Browse
| Section | Title | Patents |
|---|---|---|
| A | Human necessities | 1,096 |
| B | Performing operations; transporting | 1,849 |
| C | Chemistry; metallurgy | 744 |
| D | Textiles; paper | 101 |
| E | Fixed constructions | 271 |
| F | Mechanical engineering; lighting; heating; weapons; blasting | 890 |
| G | Physics | 1,725 |
| H | Electricity | 1,475 |
| Y | General tagging of new technological developments | 1,145 |
| Year | Patents |
|---|---|
| 2026 | 74 |
| 2025 | 65 |
| 2024 | 122 |
| 2023 | 105 |
| 2022 | 181 |
| 2021 | 188 |
| 2020 | 218 |
| 2019 | 305 |
| 2018 | 245 |
| 2017 | 302 |
| 2016 | 219 |
| 2015 | 79 |
| 2014 | 73 |
| 2013 | 81 |
| 2012 | 73 |
| 2011 | 95 |
| 2010 | 107 |
| 2009 | 60 |
| 2008 | 40 |
| 2007 | 44 |
| 2006 | 51 |
| 2005 | 72 |
| 2004 | 126 |
| 2003 | 178 |
| 2002 | 168 |
| 2001 | 194 |
| 2000 | 171 |
| 1999 | 95 |
| 1998 | 113 |
| 1997 | 82 |
| 1996 | 62 |
| 1995 | 70 |
| 1994 | 68 |
| 1993 | 57 |
| 1992 | 62 |
| 1991 | 65 |
| 1990 | 56 |
| 1989 | 49 |
| 1988 | 33 |
| 1987 | 41 |
| 1986 | 29 |
| 1985 | 34 |
| 1984 | 36 |
| 1983 | 20 |
| 1982 | 19 |
| 1981 | 42 |
| 1980 | 25 |
| 1979 | 31 |
| 1978 | 36 |
| 1977 | 42 |
| 1976 | 31 |
| 1975 | 36 |
| 1974 | 43 |
| 1973 | 30 |
| 1972 | 32 |
| 1971 | 22 |
| 1968 | 1 |
| 1966 | 1 |
| 1965 | 1 |
5Uses
- Prior-art retrieval and semantic search over claims and abstracts
- Training and evaluating claim, abstract and title generation models
- Technology classification with CPC labels
- Assignee and inventor analytics for research and investment
6Citation
@misc{mlchart_patents_2026,
title = {Patents full text},
author = {MLchart},
publisher = {MLchart},
year = {2026},
version = {2026.10},
url = {https://mlchart.com/patents/}
}
MLchart. (2026). Patents full text (Version 2026.10) [Data set]. https://mlchart.com/patents/
7Access
The full Patents full text dataset (MLC-0201), 5,000 records. Delivered as JSONL, CSV or Parquet under a commercial licence.