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README.md

PAAG

Product-Aware Answer Generation in E-Commerce Question-Answering

This repository contains dataset for the WSDM 2019 paper Product-Aware Answer Generation in E-Commerce Question-Answering (Download paper).

About the corpus

JD Product Question Answer corpus consists of online product-aware QA pairs. The corpus cover 469,953 products and 38 product categories.

How to get JD Product Question Answer corpus?

Signed the following copyright announcement with your name and organization. Then complete the form online(https://goo.gl/forms/qfGs2V8pDdwwvT332) and mail to shengao#pku.edu.cn ('#'->'@'), we will send you the corpus by e-mail when approved.

Copyright

The original copyright of all the conversations belongs to the source owner.

The copyright of annotation belongs to our group, and they are free to the public.

The dataset is only for research purposes. Without permission, it may not be used for any commercial purposes and distributed to others.

Citation

We appreciate your citation if you find our dataset is beneficial.

@inproceedings{gao2019product,
  title={Product-Aware Answer Generation in E-Commerce Question-Answering},
  author={Gao, Shen and Ren, Zhaochun and Zhao, Yihong and Zhao, Dongyan and Yin, Dawei and Yan, Rui},
  booktitle = {WSDM},
  year = {2019}
}

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