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Table · dataset · 2022

ccdv/patent-classification

Listed in Hugging Face Datasets

Description

Patent Classification: a classification of Patents and abstracts (9 classes). This dataset is intended for long context classification (non abstract documents are longer that 512 tokens). Data are sampled from "BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization." by Eva Sharma, Chen Li and Lu Wang See: aclanthology.org/P19-1212.pdf See: evasharma.github.io/bigpatent/ It contains 9 unbalanced classes, 35k Patents and abstracts divided into 3 splits:… See the full description on the dataset page: huggingface.co/datasets/ccdv/patent-classification.

Links

Where it is published

Catalogue records · 1

Topics

Stated by source
text · text classification
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsccdv/patent-classification12 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[task].hf_task:text-classificationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0