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Book-Crossing User Review Ratings
Product Reviews & Feedback
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset is a collection of book ratings, offering insights into user preferences and literary engagement [1]. It includes explicit and implicit ratings provided by a substantial number of anonymised users, along with their demographic information [1]. The data has been preprocessed to include additional features for books such as category, language, and a summary [1]. This makes it a valuable resource for various analytical and application development purposes [2].
Columns
The dataset includes detailed information about books, users, and their ratings. Based on the provided book inventory sample and the description of the full dataset, the key columns and data points are:
- ISBN: The International Standard Book Number, a unique identifier for each book [3].
- Book-Title: The title of the book [3].
- Book-Author: The name of the author(s) of the book [3].
- Year-Of-Publication: The year in which the book was published [3].
- Publisher: The name of the publisher responsible for the book [3].
- Image-URL-S: A URL pointing to a small image of the book's cover [3].
- Image-URL-M: A URL pointing to a medium-sized image of the book's cover [3].
- Image-URL-L: A URL pointing to a large image of the book's cover [3].
- Category: The genre or classification of the book, added as a new feature [1].
- Language: The language in which the book is written, added as a new feature [1].
- Summary: A brief synopsis or description of the book, added as a new feature [1].
- User-ID: An anonymised identifier for each user [1].
- Demographic Information: Anonymised demographic details about the users [1].
- Book-Rating: The rating given by a user to a specific book, which can be explicit or implicit [1].
Distribution
The dataset is structured across 3 CSV files [2]. It contains data from 278,858 anonymised users, who have provided 1,149,780 ratings for 271,379 unique books [1]. The total size of Version 3 of the dataset is approximately 600.34 MB [2].
Usage
This dataset is well-suited for a variety of applications and research areas [2]:
- Learning and Education: Ideal for students and learners working on data science projects or exploring data analysis techniques [2].
- Academic and Market Research: Useful for researchers studying user behaviour, recommendation systems, literary trends, and the dynamics of online communities [1, 2].
- Application Development: Can be utilised by developers to build book recommendation engines, sentiment analysis tools for reviews, or content categorisation systems [2].
- Large Language Model Fine-Tuning: Particularly valuable for enhancing and training large language models related to books, reviews, and user preferences [2].
Coverage
The dataset includes ratings from 278,858 anonymised users, for whom demographic information is available [1]. It covers 271,379 distinct books [1]. While a specific geographic range for users is not detailed, the title "Global Book Review Ratings Dataset" implies a worldwide scope [1]. The publication years of books included in the sample range from 1991 to 2002 [3-7], providing a temporal context for the literary content.
License
CC0: Public Domain
Who Can Use It
- Data Scientists and Analysts: To build and evaluate recommendation algorithms or perform statistical analysis on user ratings and book metadata.
- Machine Learning Engineers: For training models for natural language processing, sentiment analysis, or collaborative filtering systems.
- Librarians and Literary Scholars: To analyse reading habits, popular genres, and the impact of online book communities.
- Students: As a practical dataset for academic projects in fields like data mining, information retrieval, or social network analysis.
Dataset Name Suggestions
- Book-Crossing Global Ratings
- User Book Review Data
- Literary Rating Collection
- Global Book Enthusiast Ratings
- Book Recommendation Dataset
Attributes
Original Data Source: Book-Crossing User Review Ratings
QUALITY