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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Datasheets for Datasets · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1803.09010/</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/1803.09010/feed.xml" rel="self" type="application/rss+xml" /><item><title>Datasheets for Datasets — HN submission</title><link>https://news.ycombinator.com/item?id=25376367</link><guid isPermaLink="false">urn:hackerpapers:submission:1803.09010:25376367</guid><pubDate>Thu, 10 Dec 2020 17:55:58 GMT</pubDate><description>&lt;p&gt;Templates similar to Datasheets for Datasets but for AI models&lt;/p&gt;&lt;p&gt;hello. I was looking for a template similar to the Datasheets for Datasets (https://arxiv.org/abs/1803.09010) but for the model, not the training data.&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1803.09010/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.DB</category></item><item><title>Datasheets for Datasets — mentioned by kthejoker2</title><link>https://news.ycombinator.com/item?id=24278270</link><guid isPermaLink="false">urn:hackerpapers:mention:1803.09010:24278270</guid><pubDate>Wed, 26 Aug 2020 01:54:33 GMT</pubDate><description>&lt;p&gt;There&amp;#x27;s a really useful paper called Datasheets for Datasets about this sort of questioning https://arxiv.org/abs/1803.09010&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1803.09010/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.DB</category></item><item><title>Datasheets for Datasets — HN submission</title><link>https://news.ycombinator.com/item?id=24214400</link><guid isPermaLink="false">urn:hackerpapers:submission:1803.09010:24214400</guid><pubDate>Wed, 19 Aug 2020 18:45:26 GMT</pubDate><description>&lt;p&gt;Datasheets for Datasets (2018)&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1803.09010/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.DB</category></item><item><title>Datasheets for Datasets — mentioned by aaron-santos</title><link>https://news.ycombinator.com/item?id=23697360</link><guid isPermaLink="false">urn:hackerpapers:mention:1803.09010:23697360</guid><pubDate>Wed, 01 Jul 2020 03:10:33 GMT</pubDate><description>&lt;p&gt;The discussion mentioned the Tutorial on Fairness Accountability Transparency and Ethics in Computer Vision at CVPR 2020. The tutorial was recorded in three parts. The third part[1] includes solutions. These are either direct quotes or paraphrases of the bullet points contained therein. 1. Disaggregated Evaluations[2][3], Counterfactual Testing[4], Interpretability Methods[5] 2. Recognize [l]imitations(sic) of technical approaches (this discussion) 3. Model documentation frameworks[2] 4. Standardized framework for transparent dataset documentation [6] 5. Positionality awareness [7] 6.…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1803.09010/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.DB</category></item><item><title>Datasheets for Datasets — HN submission</title><link>https://news.ycombinator.com/item?id=22406560</link><guid isPermaLink="false">urn:hackerpapers:submission:1803.09010:22406560</guid><pubDate>Mon, 24 Feb 2020 18:08:26 GMT</pubDate><description>&lt;p&gt;Launch HN: Syndetic (YC W20) – Software for explaining datasets&lt;/p&gt;&lt;p&gt;Hi HN, We&amp;#x27;re Allison and Steve of Syndetic (https://www.getsyndetic.com). Syndetic is a web app that data providers use to explain their datasets to their customers. Think ReadMe but for datasets instead of APIs. Every exchange of data ultimately comes down to a person at one company explaining their data to a person at another. Data buyers need to understand what&amp;#x27;s in the dataset (what are the fields and what do they mean) as well as how valuable it can be to them (how complete is it? how relevant?). Data providers solve this problem today with a &amp;quot;data dictionary&amp;quot; which is a meta spreadsheet…&lt;/p&gt;&lt;p&gt;124 points; 34 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1803.09010/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.DB</category></item><item><title>Datasheets for Datasets — HN submission</title><link>https://news.ycombinator.com/item?id=21260375</link><guid isPermaLink="false">urn:hackerpapers:submission:1803.09010:21260375</guid><pubDate>Tue, 15 Oct 2019 16:35:20 GMT</pubDate><description>&lt;p&gt;Datasheets for Datasets&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1803.09010/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.DB</category></item><item><title>Datasheets for Datasets — HN submission</title><link>https://news.ycombinator.com/item?id=16985970</link><guid isPermaLink="false">urn:hackerpapers:submission:1803.09010:16985970</guid><pubDate>Thu, 03 May 2018 13:48:51 GMT</pubDate><description>&lt;p&gt;Datasheets for Datasets&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1803.09010/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.DB</category></item></channel></rss>
