Amazon Video Games

Overview

Dataset name: Amazon Video 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/Video_Games.csv.gz	md5:60fdc3e812de871c30d65722e9a91a0a

Resources

ratings

Type: interactions
Format: transactions_tabular
Required: yes
Source: ratings
Filename: Video_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	2766656
n_items	137249
n_interactions	4555500
space_size	616.2148727059418
space_size_log	2.789732176058451
shape	20.157931933930303
shape_log	1.304445974412738
density	1.1996973480987134e-05
density_log	-4.920928301142955
gini_item	0.8571064226609856
gini_user	0.3353671504827272
ratings_per_user	1.646572613292003
ratings_per_item	33.19149866301394

License & Usage

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