Amazon Clothing

Overview

Dataset name: Amazon Clothing
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/Clothing_Shoes_and_Jewelry.csv.gz	md5:ce282bf3fdd269717486960be26b92e2

Resources

ratings

Type: interactions
Format: transactions_tabular
Required: yes
Source: ratings
Filename: Clothing_Shoes_and_Jewelry.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	22553370
n_items	7216886
n_interactions	65179586
space_size	12757.942632173104
space_size_log	4.105780644954536
shape	3.1250833115557044
shape_log	0.49486159968541643
density	4.004518531158031e-07
density_log	-6.397449692271609
gini_item	0.8263247764145355
gini_user	0.4949939818552991
ratings_per_user	2.8900153724254958
ratings_per_item	9.03153881050636

License & Usage

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