{"id":21464,"date":"2023-08-07T15:27:24","date_gmt":"2023-08-07T13:27:24","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/research-getting-access-to-high-quality-data-for-mls-in-the-training-stage\/"},"modified":"2023-08-07T15:27:24","modified_gmt":"2023-08-07T13:27:24","slug":"research-getting-access-to-high-quality-data-for-mls-in-the-training-stage","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/research-getting-access-to-high-quality-data-for-mls-in-the-training-stage\/","title":{"rendered":"[Research]: Getting Access To High-quality Data For MLs In The Training Stage."},"content":{"rendered":"<p><!-- SC_OFF --><\/p>\n<div class=\"md\">\n<p>I&#8217;m trying to understand the need for high-quality datasets in the training stage for ml models. Exactly how hard is it to get richly diverse, annotated datasets, and is the problem generic to the DS community or is it an industry-specific pain point?<\/p>\n<\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/Aromatic_Ad9700\"> \/u\/Aromatic_Ad9700 <\/a> <br \/> <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/15kjl4i\/research_getting_access_to_highquality_data_for\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/15kjl4i\/research_getting_access_to_highquality_data_for\/\">[comments]<\/a><\/span><\/p><div class='watch-action'><div class='watch-position align-right'><div class='action-like'><a class='lbg-style1 like-21464 jlk' href='javascript:void(0)' data-task='like' data-post_id='21464' 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-21464 lc'>0<\/span><\/a><\/div><\/div> <div class='status-21464 status align-right'><\/div><\/div><div class='wti-clear'><\/div>","protected":false},"excerpt":{"rendered":"<p>I&#8217;m trying to understand the need for high-quality datasets in the training stage for ml models. Exactly&#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-21464","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\/21464","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=21464"}],"version-history":[{"count":0,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/21464\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/media?parent=21464"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/categories?post=21464"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/tags?post=21464"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}