Amazon Music

Overview

Dataset name: Amazon Music
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/Digital_Music.csv.gz	md5:592aaf8554ad1fec842edee82ba4d9e6

Resources

ratings

Type: interactions
Format: transactions_tabular
Required: yes
Source: ratings
Filename: Digital_Music.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	100952
n_items	70511
n_interactions	128763
space_size	84.36958262312314
space_size_log	1.9261859006548787
shape	1.4317198734949157
shape_log	0.15585805337951963
density	1.8089196867576144e-05
density_log	-4.742580714716903
gini_item	0.4038153653058994
gini_user	0.20280361886090198
ratings_per_user	1.2754873603296617
ratings_per_item	1.826140602175547

License & Usage

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