{"id":17886,"date":"2023-05-06T17:37:56","date_gmt":"2023-05-06T15:37:56","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/best-books-10k-multi-genre-data-self-promotion\/"},"modified":"2023-05-06T17:37:56","modified_gmt":"2023-05-06T15:37:56","slug":"best-books-10k-multi-genre-data-self-promotion","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/best-books-10k-multi-genre-data-self-promotion\/","title":{"rendered":"Best Books (10k) Multi-Genre Data [self-promotion]"},"content":{"rendered":"<p><!-- SC_OFF --><\/p>\n<div class=\"md\">\n<p>I started on this idea of finding a comprehensive book dataset which for sure has a description and more than one genre (makes things more realistic), since I wanted to cluster them based on similarity to find some good ones to read for myself \ud83d\ude09 The only ones I could find on Kaggle were ones with a single genre label, so collected it on my own.<\/p>\n<p>So sharing it here in case it helps someone else too:<\/p>\n<p>[<strong>Dataset<\/strong>](<a href=\"https:\/\/www.kaggle.com\/datasets\/ishikajohari\/best-books-10k-multi-genre-data\">https:\/\/www.kaggle.com\/datasets\/ishikajohari\/best-books-10k-multi-genre-data<\/a>)<\/p>\n<p>The data was collected from Goodreads from their list &#8211; Books That Everyone Should Read At Least Once and contains Description, Ratings and Multiple Genre classifiers.<\/p>\n<\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/ishika_jo\"> \/u\/ishika_jo <\/a> <br \/> <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/139say1\/best_books_10k_multigenre_data_selfpromotion\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/139say1\/best_books_10k_multigenre_data_selfpromotion\/\">[comments]<\/a><\/span><\/p><div class='watch-action'><div class='watch-position align-right'><div class='action-like'><a class='lbg-style1 like-17886 jlk' href='javascript:void(0)' data-task='like' data-post_id='17886' data-nonce='65e0e39b87' rel='nofollow'><img class='wti-pixel' src='https:\/\/www.graviton.at\/letterswaplibrary\/wp-content\/plugins\/wti-like-post\/images\/pixel.gif' title='Like' \/><span class='lc-17886 lc'>0<\/span><\/a><\/div><\/div> <div class='status-17886 status align-right'><\/div><\/div><div class='wti-clear'><\/div>","protected":false},"excerpt":{"rendered":"<p>I started on this idea of finding a comprehensive book dataset which for sure has a description&#8230;<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[85],"tags":[],"class_list":["post-17886","post","type-post","status-publish","format-standard","hentry","category-datatards","wpcat-85-id"],"_links":{"self":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/17886","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/comments?post=17886"}],"version-history":[{"count":0,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/17886\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/media?parent=17886"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/categories?post=17886"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/tags?post=17886"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}