books

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goodbooks-10k

goodbooks-10k

Stefan
Open Dataset
Creators: Zając, Zygmunt
Publication Date: 2017

The dataset contains six million ratings for ten thousand most popular books (with most ratings). There are also books marked to read by the users, book metadata (author, year, etc.) and tags/shelves/genres.

ratings contains ratings sorted by time. Ratings go from one to five. Both book IDs and user IDs are contiguous. For books, they are 1-10000, for users, 1-53424.

to_read  provides IDs of the books marked “to read” by each user, as user_id,book_id pairs, sorted by time. There are close to a million pairs.

books has metadata for each book (goodreads IDs, authors, title, average rating, etc.). The metadata have been extracted from goodreads XML files.

book_tags contains tags/shelves/genres assigned by users to books. Tags in this file are represented by their IDs. They are sorted by goodreads_book_id  ascending and count descending.

The date set is 68.8 MB large.

Goodreads Datasets

Goodreads Datasets

Stefan
Open Dataset
Creators: Wan, Mengting; McAuley, Julian
Publication Date: 2017

We collected three groups of datasets: (1) meta-data of the books, (2) user-book interactions (users’ public shelves) and (3) users’ detailed book reviews. These datasets can be merged together by matching book/user/review ids. The complete book graph includes 2,360,655 books, 876,145 users and 228,648,342 user-book interactions in users’ shelves.

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