{"id":37849,"date":"2026-01-12T03:27:10","date_gmt":"2026-01-12T02:27:10","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/tool-for-generating-llm-datasets-just-launched\/"},"modified":"2026-01-12T03:27:10","modified_gmt":"2026-01-12T02:27:10","slug":"tool-for-generating-llm-datasets-just-launched","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/tool-for-generating-llm-datasets-just-launched\/","title":{"rendered":"Tool For Generating LLM Datasets (just Launched)"},"content":{"rendered":"<p><!-- SC_OFF --><\/p>\n<div class=\"md\">\n<p>hey yall<\/p>\n<p>We&#8217;ve been doing a lot of fine-tuning and agentic stuff lately, and the part that kept slowing us down wasn&#8217;t the models but the dataset grind. Most of our time was spent just hacking datasets together instead of actually training anything.<\/p>\n<p>So we built a tool to generate the training data for us, and just launched it. you describe the kind of dataset you want, optionally upload your sources, and it spits out examples in whatever schema you need. Free tier if you wanna mess with it, no card. curious how others here are handling dataset creation, always interested in seeing other workflows. <\/p>\n<p>link: <a href=\"https:\/\/datasetlabs.ai\/\">https:\/\/datasetlabs.ai<\/a><\/p>\n<p>fyi we just launched so expect some bugs. <\/p>\n<\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/Express_Seesaw_8418\"> \/u\/Express_Seesaw_8418 <\/a> <br \/> <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1qahim6\/tool_for_generating_llm_datasets_just_launched\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1qahim6\/tool_for_generating_llm_datasets_just_launched\/\">[comments]<\/a><\/span><\/p><div class='watch-action'><div class='watch-position align-right'><div class='action-like'><a class='lbg-style1 like-37849 jlk' href='javascript:void(0)' data-task='like' data-post_id='37849' 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-37849 lc'>0<\/span><\/a><\/div><\/div> <div class='status-37849 status align-right'><\/div><\/div><div class='wti-clear'><\/div>","protected":false},"excerpt":{"rendered":"<p>hey yall We&#8217;ve been doing a lot of fine-tuning and agentic stuff lately, and the part that&#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-37849","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\/37849","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=37849"}],"version-history":[{"count":0,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/37849\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/media?parent=37849"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/categories?post=37849"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/tags?post=37849"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}