Published 2013 | Version v2
Open dataset Open

Multi-aspect Reviews

Creators

  • 1. University of California San Diego
  • 2. Stanford University

Description

Description

These datasets include reviews with multiple rated dimensions. The most comprehensive of these are beer review datasets from Ratebeer and Beeradvocate, which include sensory aspects such as taste, look, feel, and smell. The data set is about 1 GB large.

Ratebeer:

  • Number of users: 40,213
  • Number of items: 110,419
  • Number of ratings/reviews: 2,855,232
  • Timespan: April, 2000 - November, 2011

BeerAdvocate:

  • Number of users: 33,387
  • Number of items: 66,051
  • Number of ratings/reviews: 1,586,259
  • Timespan: January, 1998 - November, 2011

Files

beeradvocate.json__100lines.txt

Files (180.0 kB)

Name Size Download all
md5:fa7e53e0e1fa18cc46e5b3247a8fbe16
108.7 kB Preview Download
md5:b034272495b82fc40bf4cc09317c486d
71.3 kB Preview Download

Details

Resource type Open dataset
Title Multi-aspect Reviews
Creators
  • McAuley, Julian1
  • Leskovec, Jure2
  • Jurafsky, Dan2
    • Research Fields Economics Psychology Sociology Political Science Economic & Social History Communication Sciences Educational Research Business Administration Other
    Size 1 GB
    Formats JSON format (.json)
    License(s) Cite paper if used
    External Resource https://cseweb.ucsd.edu/~jmcauley/datasets.html#multi_aspect