{"id":36037,"date":"2025-10-15T12:27:22","date_gmt":"2025-10-15T10:27:22","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/extracting-structured-data-for-an-llm-project-how-do-you-keep-parsing-consistent\/"},"modified":"2025-10-15T12:27:22","modified_gmt":"2025-10-15T10:27:22","slug":"extracting-structured-data-for-an-llm-project-how-do-you-keep-parsing-consistent","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/extracting-structured-data-for-an-llm-project-how-do-you-keep-parsing-consistent\/","title":{"rendered":"Extracting Structured Data For An LLM Project. How Do You Keep Parsing Consistent?"},"content":{"rendered":"<p><!-- SC_OFF --><\/p>\n<div class=\"md\">\n<p>Working on a dataset for an LLM project and trying to extract structured info from a bunch of web sources. Got the scraping part mostly down, but maintaining the parsing is killing me. Every source has a slightly different layout, and things break constantly. How do you guys handle this when building training sets?<\/p>\n<\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/Gwapong_Klapish\"> \/u\/Gwapong_Klapish <\/a> <br \/> <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1o779tn\/extracting_structured_data_for_an_llm_project_how\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1o779tn\/extracting_structured_data_for_an_llm_project_how\/\">[comments]<\/a><\/span><\/p><div class='watch-action'><div class='watch-position align-right'><div class='action-like'><a class='lbg-style1 like-36037 jlk' href='javascript:void(0)' data-task='like' data-post_id='36037' data-nonce='614a020375' 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-36037 lc'>0<\/span><\/a><\/div><\/div> <div class='status-36037 status align-right'><\/div><\/div><div class='wti-clear'><\/div>","protected":false},"excerpt":{"rendered":"<p>Working on a dataset for an LLM project and trying to extract structured info from a bunch&#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-36037","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\/36037","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=36037"}],"version-history":[{"count":0,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/36037\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/media?parent=36037"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/categories?post=36037"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/tags?post=36037"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}