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    <title>PyPI recent updates for subset2evaluate</title>
    <link>https://pypi.org/project/subset2evaluate/</link>
    <description>Recent updates to the Python Package Index for subset2evaluate</description>
    <language>en</language>    <item>
      <title>1.0.27</title>
      <link>https://pypi.org/project/subset2evaluate/1.0.27/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Wed, 22 Apr 2026 16:30:47 GMT</pubDate>
    </item>    <item>
      <title>1.0.26</title>
      <link>https://pypi.org/project/subset2evaluate/1.0.26/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Fri, 27 Feb 2026 10:20:33 GMT</pubDate>
    </item>    <item>
      <title>1.0.25</title>
      <link>https://pypi.org/project/subset2evaluate/1.0.25/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Mon, 09 Feb 2026 10:52:06 GMT</pubDate>
    </item>    <item>
      <title>1.0.24</title>
      <link>https://pypi.org/project/subset2evaluate/1.0.24/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Fri, 06 Feb 2026 15:15:22 GMT</pubDate>
    </item>    <item>
      <title>1.0.23</title>
      <link>https://pypi.org/project/subset2evaluate/1.0.23/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Fri, 06 Feb 2026 14:40:21 GMT</pubDate>
    </item>    <item>
      <title>1.0.22</title>
      <link>https://pypi.org/project/subset2evaluate/1.0.22/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Tue, 20 Jan 2026 12:44:39 GMT</pubDate>
    </item>    <item>
      <title>1.0.21</title>
      <link>https://pypi.org/project/subset2evaluate/1.0.21/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Tue, 20 Jan 2026 12:37:29 GMT</pubDate>
    </item>    <item>
      <title>1.0.20</title>
      <link>https://pypi.org/project/subset2evaluate/1.0.20/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Tue, 20 Jan 2026 08:37:32 GMT</pubDate>
    </item>    <item>
      <title>1.0.19</title>
      <link>https://pypi.org/project/subset2evaluate/1.0.19/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Tue, 20 Jan 2026 08:23:21 GMT</pubDate>
    </item>    <item>
      <title>1.0.18</title>
      <link>https://pypi.org/project/subset2evaluate/1.0.18/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Fri, 16 Jan 2026 13:42:57 GMT</pubDate>
    </item>    <item>
      <title>1.0.17</title>
      <link>https://pypi.org/project/subset2evaluate/1.0.17/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Tue, 13 Jan 2026 13:27:54 GMT</pubDate>
    </item>    <item>
      <title>1.0.16</title>
      <link>https://pypi.org/project/subset2evaluate/1.0.16/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Thu, 04 Dec 2025 21:22:50 GMT</pubDate>
    </item>    <item>
      <title>1.0.15</title>
      <link>https://pypi.org/project/subset2evaluate/1.0.15/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Fri, 28 Nov 2025 14:55:06 GMT</pubDate>
    </item>    <item>
      <title>1.0.14</title>
      <link>https://pypi.org/project/subset2evaluate/1.0.14/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Sun, 29 Jun 2025 18:57:11 GMT</pubDate>
    </item>    <item>
      <title>1.0.13</title>
      <link>https://pypi.org/project/subset2evaluate/1.0.13/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Mon, 09 Jun 2025 02:28:51 GMT</pubDate>
    </item>    <item>
      <title>1.0.12</title>
      <link>https://pypi.org/project/subset2evaluate/1.0.12/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Mon, 09 Jun 2025 02:26:03 GMT</pubDate>
    </item>    <item>
      <title>1.0.11</title>
      <link>https://pypi.org/project/subset2evaluate/1.0.11/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Tue, 29 Apr 2025 12:04:57 GMT</pubDate>
    </item>    <item>
      <title>1.0.10</title>
      <link>https://pypi.org/project/subset2evaluate/1.0.10/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Mon, 17 Mar 2025 08:17:07 GMT</pubDate>
    </item>    <item>
      <title>1.0.9</title>
      <link>https://pypi.org/project/subset2evaluate/1.0.9/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Fri, 14 Mar 2025 17:55:02 GMT</pubDate>
    </item>    <item>
      <title>1.0.8</title>
      <link>https://pypi.org/project/subset2evaluate/1.0.8/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Sat, 08 Mar 2025 12:41:21 GMT</pubDate>
    </item>    <item>
      <title>1.0.6</title>
      <link>https://pypi.org/project/subset2evaluate/1.0.6/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Wed, 19 Feb 2025 20:52:04 GMT</pubDate>
    </item>    <item>
      <title>1.0.5</title>
      <link>https://pypi.org/project/subset2evaluate/1.0.5/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Wed, 19 Feb 2025 16:13:52 GMT</pubDate>
    </item>    <item>
      <title>1.0.4</title>
      <link>https://pypi.org/project/subset2evaluate/1.0.4/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Mon, 17 Feb 2025 15:26:47 GMT</pubDate>
    </item>    <item>
      <title>1.0.3</title>
      <link>https://pypi.org/project/subset2evaluate/1.0.3/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Mon, 03 Feb 2025 13:43:47 GMT</pubDate>
    </item>    <item>
      <title>1.0.2</title>
      <link>https://pypi.org/project/subset2evaluate/1.0.2/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Fri, 31 Jan 2025 16:14:59 GMT</pubDate>
    </item>    <item>
      <title>1.0.1</title>
      <link>https://pypi.org/project/subset2evaluate/1.0.1/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Fri, 31 Jan 2025 08:42:16 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/subset2evaluate/1.0.0/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Fri, 31 Jan 2025 08:40:07 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/subset2evaluate/0.1.0/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Tue, 28 Jan 2025 09:08:17 GMT</pubDate>
    </item>    <item>
      <title>0.0.1a11</title>
      <link>https://pypi.org/project/subset2evaluate/0.0.1a11/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Tue, 28 Jan 2025 08:44:34 GMT</pubDate>
    </item>    <item>
      <title>0.0.1a10</title>
      <link>https://pypi.org/project/subset2evaluate/0.0.1a10/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Mon, 20 Jan 2025 12:54:28 GMT</pubDate>
    </item>    <item>
      <title>0.0.1a8</title>
      <link>https://pypi.org/project/subset2evaluate/0.0.1a8/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Wed, 15 Jan 2025 06:25:30 GMT</pubDate>
    </item>    <item>
      <title>0.0.1a7</title>
      <link>https://pypi.org/project/subset2evaluate/0.0.1a7/</link>
      <description>Find informative examples to efficiently (human-)evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Wed, 15 Jan 2025 06:07:00 GMT</pubDate>
    </item>    <item>
      <title>0.0.1a6</title>
      <link>https://pypi.org/project/subset2evaluate/0.0.1a6/</link>
      <description>Find informative examples to efficiently (human)-evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Tue, 14 Jan 2025 11:55:28 GMT</pubDate>
    </item>    <item>
      <title>0.0.1a5</title>
      <link>https://pypi.org/project/subset2evaluate/0.0.1a5/</link>
      <description>Find informative examples to efficiently (human)-evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Mon, 13 Jan 2025 09:49:52 GMT</pubDate>
    </item>    <item>
      <title>0.0.1a4</title>
      <link>https://pypi.org/project/subset2evaluate/0.0.1a4/</link>
      <description>Find informative examples to efficiently (human)-evaluate NLG models.</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Mon, 13 Jan 2025 08:04:23 GMT</pubDate>
    </item>    <item>
      <title>0.0.1a2</title>
      <link>https://pypi.org/project/subset2evaluate/0.0.1a2/</link>
      <description>None</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Sun, 12 Jan 2025 19:21:32 GMT</pubDate>
    </item>    <item>
      <title>0.0.1a1</title>
      <link>https://pypi.org/project/subset2evaluate/0.0.1a1/</link>
      <description>None</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Sun, 12 Jan 2025 19:19:13 GMT</pubDate>
    </item>    <item>
      <title>0.0.1a0</title>
      <link>https://pypi.org/project/subset2evaluate/0.0.1a0/</link>
      <description>None</description>
<author>vilem.zouhar@gmail.com</author>      <pubDate>Sun, 12 Jan 2025 19:16:12 GMT</pubDate>
    </item>  </channel>
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