Amazon Books

Overview

Dataset name: Amazon Books
Latest version: 2023
Available versions: 2023
Source: https://amazon-reviews-2023.github.io/

A large-scale Amazon Reviews dataset, collected by McAuley Lab

Citation

@article{DBLP:journals/corr/abs-2403-03952,
author       = {Yupeng Hou and
                Jiacheng Li and
                Zhankui He and
                An Yan and
                Xiusi Chen and
                Julian J. McAuley},
title        = {Bridging Language and Items for Retrieval and Recommendation},
journal      = {CoRR},
volume       = {abs/2403.03952},
year         = {2024}
}

Version: 2023

Data Sources

Name	Source type	Archive	URL	Checksum
ratings	HttpSource	gz	https://mcauleylab.ucsd.edu/public_datasets/data/amazon_2023/benchmark/0core/rating_only/Books.csv.gz	md5:9d5d693dae385efa9053961675e1f14a

Resources

ratings

Type: interactions
Format: transactions_tabular
Required: yes
Source: ratings
Filename: Books.csv

Schema

sep: ','
user_col: user_id
item_col: parent_asin
rating_col: rating
timestamp_col: timestamp
header: 0

Dataset Characteristics

Computed at: 2025-12-15

Metric	Value
n_users	10297355
n_items	4446065
n_interactions	29139329
space_size	6766.292164699586
space_size_log	3.8303507464489135
shape	2.3160603814834015
shape_log	0.3647498775956473
density	6.364701700188797e-07
density_log	-6.196221945976983
gini_item	0.7336893261122213
gini_user	0.5401752191408588
ratings_per_user	2.8297877464649903
ratings_per_item	6.55395928759476

License & Usage

Please refer to the official dataset page for licensing and usage restrictions. https://amazon-reviews-2023.github.io/