Bibliographic Data and User Metrics Extraction from a Sample of Literary Works on Open Library

This dataset contains a random sample of literary works extracted from a request of 2,000 works from the open catalog OpenLibrary.org. This dataset compiles comprehensive information structured into 20 variables, ranging from basic publishing metadata (title, author, publisher, publication date, ISBN-10, ISBN-13, number of pages, and language) to dynamic user interaction metrics (average rating, number of ratings, and counters for people who "want to read", "are currently reading", or "have already read" the work). Furthermore, it includes semantic classification variables extracted from the page, such as the main subjects, characters, places, and historical periods associated with each book.