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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>The Stack: 3 TB of permissively licensed source code · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2211.15533/</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/2211.15533/feed.xml" rel="self" type="application/rss+xml" /><item><title>The Stack: 3 TB of permissively licensed source code — mentioned by godelski</title><link>https://news.ycombinator.com/item?id=35808533</link><guid isPermaLink="false">urn:hackerpapers:mention:2211.15533:35808533</guid><pubDate>Wed, 03 May 2023 22:15:38 GMT</pubDate><description>&lt;p&gt;You can view the prompts, solutions, and checks here[0]. See my sibling comment (to yours) where I quote the Human Eval paper and do some more analysis. But I think if you look at [0] you&amp;#x27;ll see that these aren&amp;#x27;t really unique problems and are likely to have large repetitions in the dataset. I should add to that comment to include the dataset[1] (too late to edit) where they mention that they just scrape all of GitHub (Jan 1 2015 - Mar 31 2022). They do exact and near de-duplicate but near de-duplication is messy. &amp;gt; We implement near-deduplication in our pre-processing pipeline on top of…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2211.15533/"&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>The Stack: 3 TB of permissively licensed source code — mentioned by GreedClarifies</title><link>https://news.ycombinator.com/item?id=35804281</link><guid isPermaLink="false">urn:hackerpapers:mention:2211.15533:35804281</guid><pubDate>Wed, 03 May 2023 16:23:35 GMT</pubDate><description>&lt;p&gt;Oh my bad! I thought I read that, is it based upon: https://arxiv.org/abs/2211.15533 (The Stack) ?&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2211.15533/"&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>The Stack: 3 TB of permissively licensed source code — mentioned by saurabh20n</title><link>https://news.ycombinator.com/item?id=35155103</link><guid isPermaLink="false">urn:hackerpapers:mention:2211.15533:35155103</guid><pubDate>Tue, 14 Mar 2023 17:28:15 GMT</pubDate><description>&lt;p&gt;Congrats on the launch. I think you should share some technical details for a more substantial pitch. You are using the OSS BigCode effort and &amp;quot;The Stack&amp;quot; [1, 2] (as you say in another comment), which is great. A few questions that might help an enterprise customer: How big is your base model? Where did you find more datasets (maybe just a hint would be sufficient)? Are you using SantaCoder [3]? Anything you can say about your fine-tuning that makes it special? Totally on board with you that HumanEval/MBPP are not great benchmarks for real world, and do you have a suggested alternative to…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2211.15533/"&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>
