{"id":39377,"date":"2026-03-04T16:27:03","date_gmt":"2026-03-04T15:27:03","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/what-metadata-do-you-wish-every-dataset-shipped-with-so-its-actually-usable\/"},"modified":"2026-03-04T16:27:03","modified_gmt":"2026-03-04T15:27:03","slug":"what-metadata-do-you-wish-every-dataset-shipped-with-so-its-actually-usable","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/what-metadata-do-you-wish-every-dataset-shipped-with-so-its-actually-usable\/","title":{"rendered":"What Metadata Do You Wish Every Dataset Shipped With (so It\u2019s Actually Usable)?\u201d"},"content":{"rendered":"<p><!-- SC_OFF --><\/p>\n<div class=\"md\">\n<ul>\n<li>I\u2019m packaging a dataset for ML training and want to do this \u201cproperly.\u201d<\/li>\n<li>What fields make you trust a dataset fast? (license, data lineage, schema, label definitions, splits, leakage checks, etc.)<\/li>\n<li>Any examples of dataset cards\/docs you consider \u201cgold standard\u201d? <em>(Keep it discussion + best practices; avoid sales.<\/em> <a href=\"https:\/\/www.reddit.com\/r\/datasets\">r\/datasets<\/a> <em>discourages low-effort requests and prefers original sources.)<\/em><\/li>\n<\/ul><\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/JayPatel24_\"> \/u\/JayPatel24_ <\/a> <br \/> <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1rkn2vh\/what_metadata_do_you_wish_every_dataset_shipped\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1rkn2vh\/what_metadata_do_you_wish_every_dataset_shipped\/\">[comments]<\/a><\/span><\/p><div class='watch-action'><div class='watch-position align-right'><div class='action-like'><a class='lbg-style1 like-39377 jlk' href='javascript:void(0)' data-task='like' data-post_id='39377' data-nonce='9941108d62' 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-39377 lc'>0<\/span><\/a><\/div><\/div> <div class='status-39377 status align-right'><\/div><\/div><div class='wti-clear'><\/div>","protected":false},"excerpt":{"rendered":"<p>I\u2019m packaging a dataset for ML training and want to do this \u201cproperly.\u201d What fields make you&#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-39377","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\/39377","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=39377"}],"version-history":[{"count":0,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/39377\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/media?parent=39377"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/categories?post=39377"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/tags?post=39377"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}