Published 2018 | Version v3
Open dataset

Amazon Product Reviews

  • 1. University of California San Diego

Description

Description

The Amazon Review Data (2018) dataset captures reviews and product metadata, including reviews (ratings, text, helpfulness votes), product metadata (descriptions, category information, price, brand, image features), and co-purchasing/co-viewing links. It includes anonymized reviewer IDs, product ASINs, review text, ratings, timestamps, and detailed product metadata (bullet-point descriptions, technical details, similar products), available as the complete dataset (233.1 million reviews, May 1996 – Oct 2018, spanning 29 product categories) or smaller subsets (5-core, ratings-only, per-category files).

Please cite the following if you use the data:

Justifying recommendations using distantly-labeled reviews and fined-grained aspects
Jianmo Ni, Jiacheng Li, Julian McAuley
Empirical Methods in Natural Language Processing (EMNLP), 2019
DOI: https://doi.org/10.18653/v1/D19-1018

Variables

Name Description
reviewerID ID of the reviewer
asin ID of the product, e.g. 0000013714
reviewerName name of the reviewer
vote helpful votes of the review
style a disctionary of the product metadata, e.g. "Format" is "Hardcover"
reviewText text of the review
overall rating of the product
summary summary of the review
unixReviewTime time of the review (unix time)
reviewTime time of the review (raw)
image images that users post after they have received the product
title name of the product
feature bullet-point format features of the product
description description of the product
price price in US dollars (at time of crawl)
imageURL url of the (high resolution) product image
related related products (also bought, also viewed, bought together, buy after viewing)
salesRank sales rank information
brand brand name
categories list of categories the product belongs to
tech1 the first technical detail table of the product
tech2 the second technical detail table of the product
similar similar product table

Details

Resource type Open dataset
Title Amazon Product Reviews
Creators
  • Ni, Jianmo1
  • Li, Jiacheng1
  • McAuley, Julian1 ORCID icon
  • Publisher University of California San Diego
    Year of publication 2018
    Dates of collection May 1996 – October 2018
    Research fields Business Administration Economics Psychology Sociology Political Science Economic & Social History Communication Sciences Educational Research Other
    Companies Amazon
    Size 34 GB
    Formats Comma-separated values (CSV) (.csv)
    External resource https://nijianmo.github.io/amazon/index.html

    Additional details

    Related works

    Is cited by
    Journal article: 10.48550/arXiv.2303.09498 (DOI)
    Is described by
    Conference paper: 10.18653/v1/D19-1018 (DOI)