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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Addressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpus · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2105.05241/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2105.05241/feed.xml" rel="self" type="application/rss+xml" /><item><title>Addressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpus — mentioned by Kaibeezy</title><link>https://news.ycombinator.com/item?id=37584086</link><guid isPermaLink="false">urn:hackerpapers:mention:2105.05241:37584086</guid><pubDate>Wed, 20 Sep 2023 13:50:25 GMT</pubDate><description>&lt;p&gt;IANA AI developer but have been looking into this in detail recently for other purposes. I was puzzled at the lack of info about &amp;quot;books&amp;quot; and when searching for detail (in what I believe was a reasonably diligent manner) found a very surprisingly small amount of it. I assumed there would be more knowledge and did ask for it here. So now I will go look up those papers to get a better sense of things. Thank you for the tip. I note neither this paper nor any discussion of &amp;quot;BookCorpus&amp;quot; or even &amp;quot;book corpus&amp;quot; has appeared on HN previously. Addressing &amp;quot;Documentation Debt&amp;quot; in Machine Learning…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2105.05241/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Addressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpus — mentioned by sfriedr</title><link>https://news.ycombinator.com/item?id=36686779</link><guid isPermaLink="false">urn:hackerpapers:mention:2105.05241:36686779</guid><pubDate>Tue, 11 Jul 2023 20:27:10 GMT</pubDate><description>&lt;p&gt;Could you share more about copyright? For example, aren&amp;#x27;t you worried that now, with all kinds of lawsuits happening [1] and copyright issues that were found in existing datasets [2], that you might get threatening letters from a lawyer some day? I&amp;#x27;m the author of [3] where we introduced one of the first natural-language datasets that test graduate mathematics for LLMs, but some of the prompts we took from a copyrighted book and therefore thought about excluding them. Having them in the public dataset would be really nice though, hence I&amp;#x27;m keen about your experience. I&amp;#x27;d also be keen to hear…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2105.05241/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Addressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpus — mentioned by touringa</title><link>https://news.ycombinator.com/item?id=34810036</link><guid isPermaLink="false">urn:hackerpapers:mention:2105.05241:34810036</guid><pubDate>Wed, 15 Feb 2023 20:24:08 GMT</pubDate><description>&lt;p&gt;Actually, it&amp;#x27;s &amp;#x27;BookCorpus&amp;#x27;. OpenAI spelt it wrong in their GPT-1 paper. It has also been analyzed here and here: https://arxiv.org/abs/2105.05241 https://lifearchitect.ai/whats-in-my-ai/&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2105.05241/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
