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Amazon Baby

Overview

Dataset name: Amazon Baby
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/Baby_Products.csv.gz md5:644025598b2e4eb6dc69b55a7f23c8ae

Resources

ratings

  • Type: interactions
  • Format: transactions_tabular
  • Required: yes
  • Source: ratings
  • Filename: Baby_Products.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 3386206
n_items 217654
n_interactions 5953891
space_size 858.4994354826333
space_size_log 2.933740013921096
shape 15.557747617778677
shape_log 1.1919467219611264
density 8.078316265374725e-06
density_log -5.092679148242243
gini_item 0.8648800449385958
gini_user 0.36108985080926276
ratings_per_user 1.7582778484238704
ratings_per_item 27.354843007709484

License & Usage

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