Published 2016 | Version v3
Open dataset Metadata-only

Amazon question/answer data

Creators

  • 1. University of California San Diego

Description

Description

The Amazon Question and Answer Data dataset captures questions and answers about products collected by Julian McAuley's lab (University of California San Diego): Q/A pairs from Amazon, linkable to the Amazon review dataset via product ASINs. It includes question and answer text, question type (yes/no or open-ended), answer type, timestamps, and product IDs, available across 1.48 million questions, 4,019,744 answers, 309,419 labeled yes/no questions, and 191,185 unique products with questions.

Please cite the following if you use the data:

Modeling ambiguity, subjectivity, and diverging viewpoints in opinion question answering systems
Mengting Wan, Julian McAuley
ICDM, 2016
DOI: https://doi.org/10.48550/arXiv.1610.08095

Addressing complex and subjective product-related queries with customer reviews
Julian McAuley, Alex Yang
WWW, 2016
DOI: https://doi.org/10.48550/arXiv.1512.06863

Variables

Name Description
asin ID of the product, e.g. B000050B6Z
questionType type of question. Could be 'yes/no' or 'open-ended'
answerType type of answer. Could be 'Y', 'N', or '?' (if the polarity of the answer could not be predicted). Only present for yes/no questions.
answerTime raw answer timestamp
unixTime answer timestamp converted to unix time
question question text
answer answer text

Details

Resource type Open dataset
Title Amazon question/answer data
Creators
  • McAuley, Julian1 ORCID icon
  • Yang, Alex1
  • Wan, Mengting1
    • Publisher University of California San Diego
    Year of publication 2016
    Research fields Business Administration Economics Psychology Sociology Political Science Economic & Social History Communication Sciences Educational Research Other
    Companies Amazon
    External resource https://cseweb.ucsd.edu/~jmcauley/datasets/amazon/qa/

    Additional details

    Related works

    Is cited by
    Journal article: 10.1016/j.jksuci.2021.10.013 (DOI)
    Is described by
    Preprint: 10.48550/arXiv.1610.08095 (DOI)
    Preprint: 10.48550/arXiv.1512.06863 (DOI)
    References
    Open dataset: https://berd-platform.de/records/80ycv-w5357 (URL)