Amazon review data (2018)

Jianmo Ni, UCSD

Citation

Please cite the following paper if you use the data in any way:

Justifying recommendations using distantly-labeled reviews and fined-grained aspects
Jianmo Ni, Jiacheng Li, Julian McAuley
Empirical Methods in Natural Language Processing (EMNLP), 2019
pdf

Note

You should complete this form. Note that we do not own the data, and as such we are not in a position to offer a license or control its use, however we request that the data be used for research purposes.

If you are looking for smaller datasets such as percategory k-core files and ratings only files, please visit our main dataset page.

Files

Complete review data

You can download the complete dataset through the link on this website.

raw review data (34gb) - all 233.1 million reviews

ratings only (6.7gb) - same as above, in csv form without reviews or metadata

5-core (14.3gb) - subset of the data in which all users and items have at least 5 reviews (75.26 million reviews)

meta data (12gb) - meta data for all products

duplicated product list (126mb) - list of duplicated products

Per-category data - the review and product metadata for each category.

AMAZON FASHION reviews (883,636 reviews) metadata (186,637 products)
All Beauty reviews (371,345 reviews) metadata (32,992 products)
Appliances reviews (602,777 reviews) metadata (30,459 products)
Arts Crafts and Sewing reviews (2,875,917 reviews) metadata (303,426 products)
Automotive reviews (7,990,166 reviews) metadata (932,019 products)
Books reviews (51,311,621 reviews) metadata (2,935,525 products)
CDs and Vinyl reviews (4,543,369 reviews) metadata (544,442 products)
Cell Phones and Accessories reviews (10,063,255 reviews) metadata (590,269 products)
Clothing Shoes and Jewelry reviews (32,292,099 reviews) metadata (2,685,059 products)
Digital Music reviews (1,584,082 reviews) metadata (465,392 products)
Electronics reviews (20,994,353 reviews) metadata (786,868 products)
Gift Cards reviews (147,194 reviews) metadata (1,548 products)
Grocery and Gourmet Food reviews (5,074,160 reviews) metadata (287,209 products)
Home and Kitchen reviews (21,928,568 reviews) metadata (1,301,225 products)
Industrial and Scientific reviews (1,758,333 reviews) metadata (167,524 products)
Kindle Store reviews (5,722,988 reviews) metadata (493,859 products)
Luxury Beauty reviews (574,628 reviews) metadata (12,308 products)
Magazine Subscriptions reviews (89,689 reviews) metadata (3,493 products)
Movies and TV reviews (8,765,568 reviews) metadata (203,970 products)
Musical Instruments reviews (1,512,530 reviews) metadata (120,400 products)
Office Products reviews (5,581,313 reviews) metadata (315,644 products)
Patio Lawn and Garden reviews (5,236,058 reviews) metadata (279,697 products)
Pet Supplies reviews (6,542,483 reviews) metadata (206,141 products)
Prime Pantry reviews (471,614 reviews) metadata (10,815 products)
Software reviews (459,436 reviews) metadata (26,815 products)
Sports and Outdoors reviews (12,980,837 reviews) metadata (962,876 products)
Tools and Home Improvement reviews (9,015,203 reviews) metadata (571,982 products)
Toys and Games reviews (8,201,231 reviews) metadata (634,414 products)
Video Games reviews (2,565,349 reviews) metadata (84,893 products)