Amazon Toys and Games

Overview

Dataset name: Amazon Toys and Games
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/Toys_and_Games.csv.gz	md5:542250672811854e9803d90b1f52cc14

Resources

ratings

Type: interactions
Format: transactions_tabular
Required: yes
Source: ratings
Filename: Toys_and_Games.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	8116226
n_items	890667
n_interactions	16052440
space_size	2688.652945759642
space_size_log	3.429534746637998
shape	9.112525781240352
shape_log	0.9596387700376451
density	2.2206062715211785e-06
density_log	-5.653528437968423
gini_item	0.8119593755054738
gini_user	0.4065159260942122
ratings_per_user	1.9778207260369536
ratings_per_item	18.02294235668325

License & Usage

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