{"id":24367,"date":"2023-12-06T04:27:05","date_gmt":"2023-12-06T03:27:05","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/looking-for-a-dataset-of-coffees-and-flavour-notes\/"},"modified":"2023-12-06T04:27:05","modified_gmt":"2023-12-06T03:27:05","slug":"looking-for-a-dataset-of-coffees-and-flavour-notes","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/looking-for-a-dataset-of-coffees-and-flavour-notes\/","title":{"rendered":"Looking For A Dataset Of Coffees And Flavour Notes"},"content":{"rendered":"<p><!-- SC_OFF --><\/p>\n<div class=\"md\">\n<p>Hey everyone!<\/p>\n<p>Im building a Swift app that essentially recommends users the next coffee they should buy based on how they evaluate previous coffees (E.g how much acidity they like, or if they prefer chocolate notes)<\/p>\n<p>What kind of dataset might I need for this? Do you have any idea where to find this?<\/p>\n<p>Thanks for any help because I\u2019m early in my development journey!<\/p>\n<\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/CodesMacabre\"> \/u\/CodesMacabre <\/a> <br \/> <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/18btucz\/looking_for_a_dataset_of_coffees_and_flavour_notes\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/18btucz\/looking_for_a_dataset_of_coffees_and_flavour_notes\/\">[comments]<\/a><\/span><\/p><div class='watch-action'><div class='watch-position align-right'><div class='action-like'><a class='lbg-style1 like-24367 jlk' href='javascript:void(0)' data-task='like' data-post_id='24367' data-nonce='bc39e8310e' 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-24367 lc'>0<\/span><\/a><\/div><\/div> <div class='status-24367 status align-right'><\/div><\/div><div class='wti-clear'><\/div>","protected":false},"excerpt":{"rendered":"<p>Hey everyone! Im building a Swift app that essentially recommends users the next coffee they should buy&#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-24367","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\/24367","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=24367"}],"version-history":[{"count":0,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/24367\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/media?parent=24367"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/categories?post=24367"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/tags?post=24367"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}