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Data · dataset · 2024

High-value Patent Identification Dataset

Listed in ScienceDB

The data is derived from Incopat, and is obtained by using the search formula "(AP-OR=(Chinese Academy of Sciences)) AND (AD=[20030101 TO 20221231])", with 10917 positive samples and 22652 negative samples. According to the IPC, there are three datasets, each divided into train, val, and test.

Description

Train is used for model training, val is used for model tuning, and test is used to evaluate model performance. The image data folder contains the abstract drawings of the patent. 

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Image 75%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.1370510 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:engineeringmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
concepts[modality].local:modality:imageenrichment · scidb cnkeyword-concept-rules@1.0.0title+description (75%)
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
license_textsource · scidb cnconnector:scidb_cn@1.0.0
publication_datesource · scidb cnconnector:scidb_cn@1.0.0
titlesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/title