{
  "fetched_at": "2026-10-19T15:00:35Z",
  "source_url": "https://www.kaggle.com/competitions/book-prices-prediction/data",
  "pages": [
    {
      "name": "data-description",
      "content": "The dataset consists of over 38000 books collected from the Best Books Ever list on Goodreads.com in 2020.\n\n## Files\n\n*   **books_train.csv** - the training set\n*   **books_test.csv** - the test set\n*   **books_sample_submission.csv** - a sample submission file in the correct format\n\n## Columns\n\n*   `id` - id of the book\n*   `title` - the title of the book\n*   `series` - the series the book belongs to, if any\n*   `author` - the author of the book\n*   `rating` - the average rating of the book on GoodReads\n*   `description` - a brief description of the book\n*   `language` - the language the book is written in\n*   `isbn` - the ISBN number of the book\n*   `genres` - the genres the book falls into\n*   `characters` - the characters featured in the book\n*   `bookFormat` - the format of the book (e.g paperback or e-book)\n*   `edition` - the edition of the book\n*   `pages` - the number of pages in the book\n*   `publisher` - the publisher of the book\n*   `publishDate` - the date the book was published\n*   `firstPublishDate` - the date the book was first published\n*   `awards` - any awards the book has received\n*   `numRatings` - the number of ratings the book has received\n*   `ratingsByStars` -  the ratings the book has received broken down by star ratings\n*   `likedPercent` - the percentage of readers who liked the book\n*   `setting` - the setting of the book\n*   `bbeScore` - the score of the book on GoodReads' Best Books Ever list\n*   `bbeVotes` - the number of votes cast for the book on GoodReads' Best Books Ever list\n*   `price` -  the price of the book, Target variable",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "Description",
      "content": "<p>This competition is an in-class competition for the course, \"Artificial Intelligence and Machine Learning (Spring 2023)\", in Renmin University of China.</p>\n\n<p>The competition is to predict the prices of books collected from the Best Books Ever list on Goodreads.com.</p>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "Evaluation",
      "content": "<p>The evaluation metric for this competition is <a href=\"https://en.wikipedia.org/wiki/Root-mean-square_deviation\"> Root Mean Squared Error (RMSE)</a>.</p>\n<h2>Submission Format</h2>\n<p>For <strong>each book</strong> in the test dataset, submission files should contain two columns: <strong><i>id</i></strong> and <strong><i>price</i></strong>, i.e. the id and the predicted price for the book.</p>\n<p>The file should contain a header and have the following format:</p>\n<pre>id,price<br>25884,11.29<br>46382,9.72<br>2062,4.81<br>......</pre>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "rules",
      "content": "<h3>Team Limits</h3>\n<p>Each team is limited to have no more than <strong>3</strong> persons.</p>\n<h3>Submission Limits</h3>\n<p>You may submit a maximum of <strong>20</strong> entries per day.</p>\n<p>You may select up to <strong>3</strong> final submissions for judging.</p>\n <h3> Have fun! </h3>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}