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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>The Flan Collection: Designing Data and Methods for Effective Instruction Tuning · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2301.13688/</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/2301.13688/feed.xml" rel="self" type="application/rss+xml" /><item><title>The Flan Collection: Designing Data and Methods for Effective Instruction Tuning — mentioned by EnricoShippole</title><link>https://news.ycombinator.com/item?id=36313338</link><guid isPermaLink="false">urn:hackerpapers:mention:2301.13688:36313338</guid><pubDate>Tue, 13 Jun 2023 17:10:10 GMT</pubDate><description>&lt;p&gt;With Reddit and many other sites shutting down access to their APIs it is now more important than ever to release quality open-source conversational data. I worked with the author of FLAN, Shayne Longpre, to generate ~80GB of labeled FLAN dialog data. You can find the dataset here: https://huggingface.co/datasets/conceptofmind/flan_dialog_su... This is a previous extension of his work to publicly release the FLAN collection: https://twitter.com/EnricoShippole/status/166175616624899686... The dialog data is available on huggingface to download. It was processed at an extended context length of…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2301.13688/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>The Flan Collection: Designing Data and Methods for Effective Instruction Tuning — mentioned by EnricoShippole</title><link>https://news.ycombinator.com/item?id=36073315</link><guid isPermaLink="false">urn:hackerpapers:mention:2301.13688:36073315</guid><pubDate>Thu, 25 May 2023 17:10:37 GMT</pubDate><description>&lt;p&gt;Open-source reproduction of the FLAN V2 dataset. The full dataset can be found here: https://huggingface.co/datasets/conceptofmind/FLAN_2022 I worked with Shayne Longpre the main author of the FLAN collection to recreate his great work and publicly release high-quality instruction tuning data. We fixed encoding issues and also increased the sequence length to 4096: https://twitter.com/EnricoShippole/status/166175616624899686... Each of the individual submixes is also available on huggingface to download. The sub-mixes are T0, FLAN2021, CoT, NIv2, and Dialog. Each contains relevant metadata…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2301.13688/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
