SkillAgentSearch skills...

ProductTitleSummarizationCorpus

Dataset for CIKM 2018 paper "Multi-Source Pointer Network for Product Title Summarization"

Install / Use

/learn @FeiSun/ProductTitleSummarizationCorpus
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

Product Title Summarization(PTS) Corpus

Dataset for CIKM 2018 paper "Multi-Source Pointer Network for Product Title Summarization"

Description

Each line in corpus.txt consists of a pair of titles (original title, short title), their brands, and commodity names. Each line is tab-delimited (two tabs) with the following format:

<original title>\t\t<short title>\t\t<brand>\t\t<commodity name>

File

  • corpus: the dataset used in the cikm 2018 paper, the length of short title < 11.

  • big_corpus: much larger dataset, the length of short title < 13.

    We split the file into 5 files with prefix big_corpus.tar.gz_ due to the limitation on github.com (less than 100m).

    The way to reconstruct the big_corpus file:

    cd big_corpus
    cat big_corpus.tar.gz_* > big_corpus.tar.gz
    tar zxvf big_corpus.tar.gz
    

Note:

brand may contain multi-language versions(separated using “/”) for some products, e.g., Nintendo/任天堂.

Citation

@inproceedings{Sun:CIKM2018,
author = {Fei Sun and Peng Jiang and Hanxiao Sun and Changhua Pei and Wenwu Ou and Xiaobo Wang},
title = {{Multi-Source Pointer Network for Product Title Summarization}},
booktitle = {CIKM},
year = 2018
}

Related Skills

View on GitHub
GitHub Stars73
CategoryDevelopment
Updated11mo ago
Forks19

Security Score

77/100

Audited on May 6, 2025

No findings