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 1 | ### PAAG
 2 | ### Product-Aware Answer Generation in E-Commerce Question-Answering
 3 | 
 4 | This repository contains dataset for the WSDM 2019 paper Product-Aware Answer Generation in E-Commerce Question-Answering ([Download paper](https://arxiv.org/abs/1901.07696)). 
 5 | 
 6 | # About the corpus
 7 | JD Product Question Answer corpus consists of online product-aware QA pairs. The corpus cover 469,953 products and 38 product categories.
 8 | 
 9 | 
10 | # How to get JD Product Question Answer corpus?
11 | 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.
12 | 
13 | # Copyright
14 | The original copyright of all the conversations belongs to the source owner.
15 | 
16 | The copyright of annotation belongs to our group, and they are free to the public.
17 | 
18 | The dataset is only for research purposes. Without permission, it may not be used for any commercial purposes and distributed to others.
19 | 
20 | # Citation
21 | We appreciate your citation if you find our dataset is beneficial.
22 | 
23 | ```
24 | @inproceedings{gao2019product,
25 |   title={Product-Aware Answer Generation in E-Commerce Question-Answering},
26 |   author={Gao, Shen and Ren, Zhaochun and Zhao, Yihong and Zhao, Dongyan and Yin, Dawei and Yan, Rui},
27 |   booktitle = {WSDM},
28 |   year = {2019}
29 | }
30 | ```
31 | 


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