{"id":41148,"date":"2026-05-26T08:27:06","date_gmt":"2026-05-26T06:27:06","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/needed-full-reddit-comment-trees-for-an-nlp-dataset-heres-what-i-used\/"},"modified":"2026-05-26T08:27:06","modified_gmt":"2026-05-26T06:27:06","slug":"needed-full-reddit-comment-trees-for-an-nlp-dataset-heres-what-i-used","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/needed-full-reddit-comment-trees-for-an-nlp-dataset-heres-what-i-used\/","title":{"rendered":"Needed Full Reddit Comment Trees For An NLP Dataset, Here&#8217;s What I Used"},"content":{"rendered":"<p><!-- SC_OFF --><\/p>\n<div class=\"md\">\n<p>Was building a training corpus and kept hitting the official API&#8217;s 500 comment truncation limit. Found a gateway that recursively resolves full thread depth and has historical archive access which the official API just doesn&#8217;t have.<\/p>\n<p>Endpoint I relied on most:<\/p>\n<p>GET \/submission\/{id}\/full<\/p>\n<p>Returns the entire thread, no truncation. Only charges on 200 OK so failed requests don&#8217;t eat your credits. Sharing in case anyone else is doing similar dataset work \u2014 happy to share what I&#8217;m using if anyone&#8217;s interested.<\/p>\n<\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/Ok-Direction-9618\"> \/u\/Ok-Direction-9618 <\/a> <br \/> <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1tnyhbz\/needed_full_reddit_comment_trees_for_an_nlp\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1tnyhbz\/needed_full_reddit_comment_trees_for_an_nlp\/\">[comments]<\/a><\/span><\/p><div class='watch-action'><div class='watch-position align-right'><div class='action-like'><a class='lbg-style1 like-41148 jlk' href='javascript:void(0)' data-task='like' data-post_id='41148' data-nonce='1a89544c55' 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-41148 lc'>0<\/span><\/a><\/div><\/div> <div class='status-41148 status align-right'><\/div><\/div><div class='wti-clear'><\/div>","protected":false},"excerpt":{"rendered":"<p>Was building a training corpus and kept hitting the official API&#8217;s 500 comment truncation limit. Found a&#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-41148","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\/41148","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=41148"}],"version-history":[{"count":0,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/41148\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/media?parent=41148"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/categories?post=41148"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/tags?post=41148"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}