Dataset: Books Dataset

About this Dataset

Books Dataset

This dataset is a comprehensive collection of information about books, designed for use in recommendation systems and chatbot development. It includes details about a wide range of books, making it suitable for various applications in the fields of machine learning, natural language processing, and artificial intelligence.

Key Features
Book Information: Each entry contains details such as title, author, genre, publication year, and synopsis.

User Ratings: User-generated ratings and reviews, allowing for collaborative filtering and personalized recommendations.

Cover Images: URLs or file paths to cover images for visual representation.

Links and References: Links to external databases, Amazon pages, or other relevant sources for more in-depth information.

Potential Use Cases
Recommendation Systems: Utilize the dataset to build and train recommendation models for suggesting books based on user preferences.

Chatbot Development: Enhance chatbots with a rich source of book-related information, enabling more engaging and context-aware conversations.

Natural Language Processing (NLP): Use the dataset for text analysis, sentiment analysis, and other NLP tasks related to book reviews and synopses.

Data Exploration and Analysis: Explore trends in book preferences, popular genres, and author popularity.

Tables

Data

@kaggle.abdallahwagih_books_dataset.data

2.24 MB
6810 rows
12 columns


CREATE TABLE data (
  "isbn13" BIGINT,
  "isbn10" VARCHAR,
  "title" VARCHAR,
  "subtitle" VARCHAR,
  "authors" VARCHAR,
  "categories" VARCHAR,
  "thumbnail" VARCHAR,
  "description" VARCHAR,
  "published_year" DOUBLE,
  "average_rating" DOUBLE,
  "num_pages" DOUBLE,
  "ratings_count" DOUBLE
);