{"id":33020,"date":"2025-03-12T11:27:19","date_gmt":"2025-03-12T10:27:19","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/the-kaggle-dataset-has-over-10000-data-points-on-question-and-answer-topics\/"},"modified":"2025-03-12T11:27:19","modified_gmt":"2025-03-12T10:27:19","slug":"the-kaggle-dataset-has-over-10000-data-points-on-question-and-answer-topics","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/the-kaggle-dataset-has-over-10000-data-points-on-question-and-answer-topics\/","title":{"rendered":"The Kaggle Dataset Has Over 10,000 Data Points On Question-and-answer Topics."},"content":{"rendered":"<p><!-- SC_OFF --><\/p>\n<div class=\"md\">\n<p>I&#8217;ve scraped over 10,000 kaggle posts and over 60,000 comments from those posts from the kaggle site and specifically the answers and questions section.<\/p>\n<p>My first try : <a href=\"https:\/\/www.kaggle.com\/datasets\/mathieuduverne\/posts-and-comments-by-kaggle-in-the-questionanswer\">kaggle dataset<\/a><\/p>\n<p>I&#8217;m sure that the information from Kaggle discussions is very useful.<\/p>\n<p>I&#8217;m looking for advice on how to better organize the data so that I can scrapp it faster and store more of it on many different topics.<\/p>\n<p>The goal is to use this data to group together fine-tuning, RAG, and other interesting topics.<\/p>\n<p>Have a great day.<\/p>\n<\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/nieuver\"> \/u\/nieuver <\/a> <br \/> <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1j9gkks\/the_kaggle_dataset_has_over_10000_data_points_on\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1j9gkks\/the_kaggle_dataset_has_over_10000_data_points_on\/\">[comments]<\/a><\/span><\/p><div class='watch-action'><div class='watch-position align-right'><div class='action-like'><a class='lbg-style1 like-33020 jlk' href='javascript:void(0)' data-task='like' data-post_id='33020' 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-33020 lc'>0<\/span><\/a><\/div><\/div> <div class='status-33020 status align-right'><\/div><\/div><div class='wti-clear'><\/div>","protected":false},"excerpt":{"rendered":"<p>I&#8217;ve scraped over 10,000 kaggle posts and over 60,000 comments from those posts from the kaggle site&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[85],"tags":[],"class_list":["post-33020","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\/33020","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"}],"author":[{"embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/comments?post=33020"}],"version-history":[{"count":0,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/33020\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/media?parent=33020"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/categories?post=33020"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/tags?post=33020"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}