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Amazon Reviews 2023 (Books Only)

This is a subset of Amazon Review 2023 dataset. Please visit amazon-reviews-2023.github.io/ for more details, loading scripts, and preprocessed benchmark files.

[April 18, 2024] Update

  1. This dataset was created and pushed for the first time.

This is a large-scale Amazon Reviews dataset, collected in 2023 by McAuley Lab, and it includes rich features such as:

  1. User Reviews (ratings, text, helpfulness votes, etc.);
  2. Item Metadata (descriptions, price, raw image, etc.);

What's New?

In the Amazon Reviews'23, we provide:

  1. Larger Dataset: We collected 571.54M reviews, 245.2% larger than the last version;
  2. Newer Interactions: Current interactions range from May. 1996 to Sep. 2023;
  3. Richer Metadata: More descriptive features in item metadata;
  4. Fine-grained Timestamp: Interaction timestamp at the second or finer level;
  5. Cleaner Processing: Cleaner item metadata than previous versions;
  6. Standard Splitting: Standard data splits to encourage RecSys benchmarking.

Basic Statistics

We define the #R_Tokens as the number of tokens in user reviews and #M_Tokens as the number of tokens if treating the dictionaries of item attributes as strings. We emphasize them as important statistics in the era of LLMs.

We count the number of items based on user reviews rather than item metadata files. Note that some items lack metadata.

Grouped by Category

Category #User #Item #Rating #R_Token #M_Token Download
Books 10.3M 4.4M 29.5M 2.9B 3.7B review, meta
meta

Check Pure ID files and corresponding data splitting strategies in Common Data Processing section.

Quick Start

Load User Reviews 

from datasets import load_dataset

dataset = load_dataset("cogsci13/Amazon-Reviews-2023-Books-Review", "raw_review_Books", trust_remote_code=True)
print(dataset["full"][0])

{'rating': {0: 1.0},
 'title': {0: 'Not a watercolor book! Seems like copies imo.'},
 'text': {0: 'It is definitely not a watercolor book.  The paper bucked completely.  The pages honestly appear to be photo copies of other pictures. I say that bc if you look at the seal pics you can see the tell tale line at the bottom of the page.  As someone who has made many photocopies of pages in my time so I could try out different colors & mediums that black line is a dead giveaway to me. It’s on other pages too.  The entire book just seems off. Nothing is sharp & clear. There is what looks like toner dust on all the pages making them look muddy.  There are no sharp lines & there is no clear definition.  At least there isn’t in my copy.  And the Coloring Book for Adult on the bottom of the front cover annoys me. Why is it singular & not plural?  They usually say coloring book for kids or coloring book for kids & adults or coloring book for adults- plural.  Lol  Plus it would work for kids if you can get over the grey scale nature of it.  Personally I’m not going to waste expensive pens & paints trying to paint over the grey & black mess.  I grew up in SW Florida minutes from the beaches & I was really excited about the sea life in this. I hope the printers & designers figure out how to clean up the mess bc some of the designs are really cute. They just aren’t worth my time to hand trace & transfer them, but I’m sure there are ppl that will be up to the challenge.  This is one is a hard no. Going back. I tried.'},
 'images': {0: array([{'attachment_type': 'IMAGE', 'large_image_url': 'https://m.media-amazon.com/images/I/516HBU7LQoL._SL1600_.jpg', 'medium_image_url': 'https://m.media-amazon.com/images/I/516HBU7LQoL._SL800_.jpg', 'small_image_url': 'https://m.media-amazon.com/images/I/516HBU7LQoL._SL256_.jpg'},
         {'attachment_type': 'IMAGE', 'large_image_url': 'https://m.media-amazon.com/images/I/71+XwcacMmL._SL1600_.jpg', 'medium_image_url': 'https://m.media-amazon.com/images/I/71+XwcacMmL._SL800_.jpg', 'small_image_url': 'https://m.media-amazon.com/images/I/71+XwcacMmL._SL256_.jpg'},
         {'attachment_type': 'IMAGE', 'large_image_url': 'https://m.media-amazon.com/images/I/71RbTuvD1ZL._SL1600_.jpg', 'medium_image_url': 'https://m.media-amazon.com/images/I/71RbTuvD1ZL._SL800_.jpg', 'small_image_url': 'https://m.media-amazon.com/images/I/71RbTuvD1ZL._SL256_.jpg'},
         {'attachment_type': 'IMAGE', 'large_image_url': 'https://m.media-amazon.com/images/I/71U63wdOeZL._SL1600_.jpg', 'medium_image_url': 'https://m.media-amazon.com/images/I/71U63wdOeZL._SL800_.jpg', 'small_image_url': 'https://m.media-amazon.com/images/I/71U63wdOeZL._SL256_.jpg'},
         {'attachment_type': 'IMAGE', 'large_image_url': 'https://m.media-amazon.com/images/I/71WFEDyKcKL._SL1600_.jpg', 'medium_image_url': 'https://m.media-amazon.com/images/I/71WFEDyKcKL._SL800_.jpg', 'small_image_url': 'https://m.media-amazon.com/images/I/71WFEDyKcKL._SL256_.jpg'},
         {'attachment_type': 'IMAGE', 'large_image_url': 'https://m.media-amazon.com/images/I/8109NwjpHKL._SL1600_.jpg', 'medium_image_url': 'https://m.media-amazon.com/images/I/8109NwjpHKL._SL800_.jpg', 'small_image_url': 'https://m.media-amazon.com/images/I/8109NwjpHKL._SL256_.jpg'},
         {'attachment_type': 'IMAGE', 'large_image_url': 'https://m.media-amazon.com/images/I/814gxfh8wcL._SL1600_.jpg', 'medium_image_url': 'https://m.media-amazon.com/images/I/814gxfh8wcL._SL800_.jpg', 'small_image_url': 'https://m.media-amazon.com/images/I/814gxfh8wcL._SL256_.jpg'},
         {'attachment_type': 'IMAGE', 'large_image_url': 'https://m.media-amazon.com/images/I/81HC0vKRC2L._SL1600_.jpg', 'medium_image_url': 'https://m.media-amazon.com/images/I/81HC0vKRC2L._SL800_.jpg', 'small_image_url': 'https://m.media-amazon.com/images/I/81HC0vKRC2L._SL256_.jpg'},
         {'attachment_type': 'IMAGE', 'large_image_url': 'https://m.media-amazon.com/images/I/81Nx6BnRLxL._SL1600_.jpg', 'medium_image_url': 'https://m.media-amazon.com/images/I/81Nx6BnRLxL._SL800_.jpg', 'small_image_url': 'https://m.media-amazon.com/images/I/81Nx6BnRLxL._SL256_.jpg'},
         {'attachment_type': 'IMAGE', 'large_image_url': 'https://m.media-amazon.com/images/I/81QQMwBcVPL._SL1600_.jpg', 'medium_image_url': 'https://m.media-amazon.com/images/I/81QQMwBcVPL._SL800_.jpg', 'small_image_url': 'https://m.media-amazon.com/images/I/81QQMwBcVPL._SL256_.jpg'},
         {'attachment_type': 'IMAGE', 'large_image_url': 'https://m.media-amazon.com/images/I/81fgT3R3OwL._SL1600_.jpg', 'medium_image_url': 'https://m.media-amazon.com/images/I/81fgT3R3OwL._SL800_.jpg', 'small_image_url': 'https://m.media-amazon.com/images/I/81fgT3R3OwL._SL256_.jpg'},
         {'attachment_type': 'IMAGE', 'large_image_url': 'https://m.media-amazon.com/images/I/81mfzny0I5L._SL1600_.jpg', 'medium_image_url': 'https://m.media-amazon.com/images/I/81mfzny0I5L._SL800_.jpg', 'small_image_url': 'https://m.media-amazon.com/images/I/81mfzny0I5L._SL256_.jpg'},
         {'attachment_type': 'IMAGE', 'large_image_url': 'https://m.media-amazon.com/images/I/81nir7bf91L._SL1600_.jpg', 'medium_image_url': 'https://m.media-amazon.com/images/I/81nir7bf91L._SL800_.jpg', 'small_image_url': 'https://m.media-amazon.com/images/I/81nir7bf91L._SL256_.jpg'},
         {'attachment_type': 'IMAGE', 'large_image_url': 'https://m.media-amazon.com/images/I/81yLUo6ZL3L._SL1600_.jpg', 'medium_image_url': 'https://m.media-amazon.com/images/I/81yLUo6ZL3L._SL800_.jpg', 'small_image_url': 'https://m.media-amazon.com/images/I/81yLUo6ZL3L._SL256_.jpg'},
         {'attachment_type': 'IMAGE', 'large_image_url': 'https://m.media-amazon.com/images/I/81zh9h5RwkL._SL1600_.jpg', 'medium_image_url': 'https://m.media-amazon.com/images/I/81zh9h5RwkL._SL800_.jpg', 'small_image_url': 'https://m.media-amazon.com/images/I/81zh9h5RwkL._SL256_.jpg'},
         {'attachment_type': 'IMAGE', 'large_image_url': 'https://m.media-amazon.com/images/I/91yfcpFlEqL._SL1600_.jpg', 'medium_image_url': 'https://m.media-amazon.com/images/I/91yfcpFlEqL._SL800_.jpg', 'small_image_url': 'https://m.media-amazon.com/images/I/91yfcpFlEqL._SL256_.jpg'}],
        dtype=object)},
 'asin': {0: 'B09BGPFTDB'},
 'parent_asin': {0: 'B09BGPFTDB'},
 'user_id': {0: 'AFKZENTNBQ7A7V7UXW5JJI6UGRYQ'},
 'timestamp': {0: 1642399598485},
 'helpful_vote': {0: 0},
 'verified_purchase': {0: True}}

Load Item Metadata 

dataset = load_dataset("cogsci13/Amazon-Reviews-2023-Books-Meta", "raw_meta_Books", split="full", trust_remote_code=True)
print(dataset[0])

{'main_category': {0: 'Books'},
 'title': {0: 'Chaucer'},
 'average_rating': {0: 4.5},
 'rating_number': {0: 29},
 'features': {0: array([], dtype=object)},
 'description': {0: array([], dtype=object)},
 'price': {0: '8.23'},
 'images': {0: {'hi_res': array([None], dtype=object),
   'large': array(['https://m.media-amazon.com/images/I/41X61VPJYKL._SX334_BO1,204,203,200_.jpg'],
         dtype=object),
   'thumb': array([None], dtype=object),
   'variant': array(['MAIN'], dtype=object)}},
 'videos': {0: {'title': array([], dtype=object),
   'url': array([], dtype=object),
   'user_id': array([], dtype=object)}},
 'store': {0: 'Peter Ackroyd (Author)'},
 'categories': {0: array(['Books', 'Literature & Fiction', 'History & Criticism'],
        dtype=object)},
 'details': {0: '{"Publisher": "Chatto & Windus; First Edition (January 1, 2004)", "Language": "English", "Hardcover": "196 pages", "ISBN 10": "0701169850", "ISBN 13": "978-0701169855", "Item Weight": "10.1 ounces", "Dimensions": "5.39 x 0.71 x 7.48 inches"}'},
 'parent_asin': {0: '0701169850'},
 'bought_together': {0: None},
 'subtitle': {0: 'Hardcover – Import, January 1, 2004'},
 'author': {0: "{'avatar': 'https://m.media-amazon.com/images/I/21Je2zja9pL._SY600_.jpg', 'name': 'Peter Ackroyd', 'about': ['Peter Ackroyd, (born 5 October 1949) is an English biographer, novelist and critic with a particular interest in the history and culture of London. For his novels about English history and culture and his biographies of, among others, William Blake, Charles Dickens, T. S. Eliot and Sir Thomas More, he won the Somerset Maugham Award and two Whitbread Awards. He is noted for the volume of work he has produced, the range of styles therein, his skill at assuming different voices and the depth of his research.', 'He was elected a fellow of the Royal Society of Literature in 1984 and appointed a Commander of the Order of the British Empire in 2003.', 'Bio from Wikipedia, the free encyclopedia.']}"}}

Check data loading examples and Huggingface datasets APIs in Common Data Loading section.

Data Fields

For User Reviews

Field Type Explanation
rating float Rating of the product (from 1.0 to 5.0).
title str Title of the user review.
text str Text body of the user review.
images list Images that users post after they have received the product. Each image has different sizes (small, medium, large), represented by the small_image_url, medium_image_url, and large_image_url respectively.
asin str ID of the product.
parent_asin str Parent ID of the product. Note: Products with different colors, styles, sizes usually belong to the same parent ID. The “asin” in previous Amazon datasets is actually parent ID. Please use parent ID to find product meta.
user_id str ID of the reviewer
timestamp int Time of the review (unix time)
verified_purchase bool User purchase verification
helpful_vote int Helpful votes of the review

For Item Metadata

Field Type Explanation
main_category str Main category (i.e., domain) of the product.
title str Name of the product.
average_rating float Rating of the product shown on the product page.
rating_number int Number of ratings in the product.
features list Bullet-point format features of the product.
description list Description of the product.
price float Price in US dollars (at time of crawling).
images list Images of the product. Each image has different sizes (thumb, large, hi_res). The “variant” field shows the position of image.
videos list Videos of the product including title and url.
store str Store name of the product.
categories list Hierarchical categories of the product.
details dict Product details, including materials, brand, sizes, etc.
parent_asin str Parent ID of the product.
bought_together list Recommended bundles from the websites.

Citation 

@article{hou2024bridging,
  title={Bridging Language and Items for Retrieval and Recommendation},
  author={Hou, Yupeng and Li, Jiacheng and He, Zhankui and Yan, An and Chen, Xiusi and McAuley, Julian},
  journal={arXiv preprint arXiv:2403.03952},
  year={2024}
}

Contact Us

  • Report Bugs: To report bugs in the dataset, please file an issue on our GitHub.
  • Others: For research collaborations or other questions, please email yphou AT ucsd.edu.