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      <title>Hugging Face Introduces Community Evals for Transparent Model Benchmarking</title>
      <link>https://www.infoq.com/news/2026/02/hugging-face-evals/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=YAML-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/02/hugging-face-evals/en/headerimage/generatedHeaderImage-1771448477065.jpg"/&gt;&lt;p&gt;Hugging Face has launched Community Evals, a feature that enables benchmark datasets on the Hub to host their own leaderboards and automatically collect evaluation results from model repositories.&lt;/p&gt; &lt;i&gt;By Daniel Dominguez&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>YAML</category>
      <category>Benchmark</category>
      <category>Hugging Face</category>
      <category>Artificial Intelligence</category>
      <category>AI, ML &amp; Data Engineering</category>
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      <pubDate>Thu, 19 Feb 2026 10:55:00 GMT</pubDate>
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      <dc:creator>Daniel Dominguez</dc:creator>
      <dc:date>2026-02-19T10:55:00Z</dc:date>
      <dc:identifier>/news/2026/02/hugging-face-evals/en</dc:identifier>
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