Datasets:
description
stringlengths 4.57k
4.7M
| abstract
stringlengths 89
21.6k
| description_length
int64 4.57k
4.7M
|
|---|---|---|
"CROSS-REFERENCE TO RELATED APPLICATION \n [0001] The present application is a continuation(...TRUNCATED) | "An exemplary embodiment of the present invention described and shown in the specification and drawi(...TRUNCATED) | 264,192 |
"This application claims priority under 35 USC §119 (e)(1) of Provisional Application Serial No. 60(...TRUNCATED) | "An integrated code development tool, comprising of an editor, a project management and build system(...TRUNCATED) | 112,361 |
"FIELD OF THE INVENTION \n The present invention relates to systems and methods for monitoring s(...TRUNCATED) | "A system and method for determining optimal selection of paths for passively monitoring a communica(...TRUNCATED) | 28,063 |
"CROSS REFERENCES TO RELATED APPLICATIONS \n This application claims priority from and is relate(...TRUNCATED) | "The present invention provides a method for plasma dicing a substrate, the method comprising provid(...TRUNCATED) | 65,247 |
"CROSS-REFERENCES TO RELATED APPLICATIONS \n [0001] This application is a non-provisional, (...TRUNCATED) | "Methods and apparatus are disclosed for occulting light. The occulter shape suppresses diffraction (...TRUNCATED) | 205,254 |
"BACKGROUND INFORMATION \n [0001] 1. Field \n [0002] Embodiments of the disclosu(...TRUNCATED) | "A cupcake package includes a base element having a primary diameter for receiving a cupcake body an(...TRUNCATED) | 11,558 |
"BACKGROUND OF THE INVENTION \n [0001] 1. Field of the Invention \n [0002] (...TRUNCATED) | "The destruction of the rainforests in the last decades has become the biggest crime against humanit(...TRUNCATED) | 65,543 |
"RELATED APPLICATION \n This application is a continuation of U.S. patent application Ser. No. 1(...TRUNCATED) | "A system for encoding a video signal includes an input module to receive a media signal to be commu(...TRUNCATED) | 217,618 |
"CROSS-REFERENCE TO RELATED APPLICATIONS \n [0001] This application is a continuation of Se(...TRUNCATED) | "Substituted phenylcarbamoyl alkylamino arenes; substituted phenylthiocarbamyl alkylamino arenes; su(...TRUNCATED) | 130,354 |
"This application claims priority under 35 U.S.C. § 119(e) to U.S. Provisional Application No. 60/5(...TRUNCATED) | "The present invention relates to compounds, process for their synthesis, compositions and methods f(...TRUNCATED) | 321,793 |
Sampled big_patent Dataset
This is a sampled big_patent dataset - sampled down for shorter fine-tunings.
The data is sampled with the aim of providing an even distribution across data lengths. The distribution is quite flat up until 1 million characters in length, making the dataset good for training on lengths up to 250,000 tokens.
Dataset Card for Big Patent
Dataset Summary
BIGPATENT, consisting of 1.3 million records of U.S. patent documents along with human written abstractive summaries. Each US patent application is filed under a Cooperative Patent Classification (CPC) code. There are nine such classification categories:
- a: Human Necessities
- b: Performing Operations; Transporting
- c: Chemistry; Metallurgy
- d: Textiles; Paper
- e: Fixed Constructions
- f: Mechanical Engineering; Lightning; Heating; Weapons; Blasting
- g: Physics
- h: Electricity
- y: General tagging of new or cross-sectional technology
Current defaults are 2.1.2 version (fix update to cased raw strings) and 'all' CPC codes:
from datasets import load_dataset
ds = load_dataset("big_patent") # default is 'all' CPC codes
ds = load_dataset("big_patent", "all") # the same as above
ds = load_dataset("big_patent", "a") # only 'a' CPC codes
ds = load_dataset("big_patent", codes=["a", "b"])
To use 1.0.0 version (lower cased tokenized words), pass both parameters codes and version:
ds = load_dataset("big_patent", codes="all", version="1.0.0")
ds = load_dataset("big_patent", codes="a", version="1.0.0")
ds = load_dataset("big_patent", codes=["a", "b"], version="1.0.0")
Supported Tasks and Leaderboards
[More Information Needed]
Languages
English
Dataset Structure
Data Instances
Each instance contains a pair of description and abstract. description is extracted from the Description section of the Patent while abstract is extracted from the Abstract section.
{
'description': 'FIELD OF THE INVENTION \n [0001] This invention relates to novel calcium phosphate-coated implantable medical devices and processes of making same. The unique calcium-phosphate coated implantable medical devices minimize...',
'abstract': 'This invention relates to novel calcium phosphate-coated implantable medical devices...'
}
Data Fields
description: detailed description of patent.abstract: Patent abastract.
Data Splits
| train | validation | test | |
|---|---|---|---|
| all | 1207222 | 67068 | 67072 |
| a | 174134 | 9674 | 9675 |
| b | 161520 | 8973 | 8974 |
| c | 101042 | 5613 | 5614 |
| d | 10164 | 565 | 565 |
| e | 34443 | 1914 | 1914 |
| f | 85568 | 4754 | 4754 |
| g | 258935 | 14385 | 14386 |
| h | 257019 | 14279 | 14279 |
| y | 124397 | 6911 | 6911 |
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
[More Information Needed]
Citation Information
@article{DBLP:journals/corr/abs-1906-03741,
author = {Eva Sharma and
Chen Li and
Lu Wang},
title = {{BIGPATENT:} {A} Large-Scale Dataset for Abstractive and Coherent
Summarization},
journal = {CoRR},
volume = {abs/1906.03741},
year = {2019},
url = {http://arxiv.org/abs/1906.03741},
eprinttype = {arXiv},
eprint = {1906.03741},
timestamp = {Wed, 26 Jun 2019 07:14:58 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1906-03741.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
Contributions
Thanks to @mattbui for adding this dataset.
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