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<p style="mso-margin-top-alt:12.0pt;margin-right:0in;margin-bottom:12.0pt;margin-left:0in">
<span style="font-size:11.0pt;font-family:"Proxima Nova";color:#1F1F1F;background:white">Dear colleagues,</span><o:p></o:p></p>
<p style="mso-margin-top-alt:12.0pt;margin-right:0in;margin-bottom:12.0pt;margin-left:0in">
<span style="font-size:11.0pt;font-family:"Proxima Nova";color:#1F1F1F;background:white">We are a group of researchers from the Max Planck Institute for Human Development, Humboldt University of Berlin, and the University of Milano-Bicocca, collaborating on
a research initiative to build shared infrastructure for psycholinguistic research.</span><o:p></o:p></p>
<p style="mso-margin-top-alt:12.0pt;margin-right:0in;margin-bottom:12.0pt;margin-left:0in">
<span style="font-size:11.0pt;font-family:"Proxima Nova";color:#1F1F1F;background:white">We would like to invite contributions to
<b>PsychLing-101</b>, a community-driven repository that collects psycholinguistic datasets in a unified format for both traditional analyses and evaluation of large language models.</span><o:p></o:p></p>
<p style="mso-margin-top-alt:12.0pt;margin-right:0in;margin-bottom:12.0pt;margin-left:0in">
<b><span style="font-size:11.0pt;font-family:"Proxima Nova";color:#1F1F1F;background:white">Project overview</span></b><o:p></o:p></p>
<p style="mso-margin-top-alt:12.0pt;margin-right:0in;margin-bottom:12.0pt;margin-left:0in">
<span style="font-size:11.0pt;font-family:"Proxima Nova";color:#1F1F1F;background:white">PsychLing-101 aims to build a curated corpus of psycholinguistic datasets stored in a standardized structure. The goal is to make datasets easier to find, reuse, and compare
across studies, and to support more reproducible research in psycholinguistics and cognitive science.</span><o:p></o:p></p>
<p style="mso-margin-top-alt:12.0pt;margin-right:0in;margin-bottom:12.0pt;margin-left:0in">
<span style="font-size:11.0pt;font-family:"Proxima Nova";color:#1F1F1F;background:white">The repository covers a broad range of psycholinguistic data types, including norming studies, lexical decision tasks, sentence processing experiments, semantic ratings,
and behavioral or physiological measures such as eye-tracking and neuroimaging.</span><o:p></o:p></p>
<p style="mso-margin-top-alt:12.0pt;margin-right:0in;margin-bottom:12.0pt;margin-left:0in">
<span style="font-size:11.0pt;font-family:"Proxima Nova";color:#1F1F1F;background:white">To build a broad and useful resource, we welcome contributions from researchers across the field, including both large-scale datasets and smaller curated studies.</span><o:p></o:p></p>
<p style="mso-margin-top-alt:12.0pt;margin-right:0in;margin-bottom:12.0pt;margin-left:0in">
<span style="font-size:11.0pt;font-family:"Proxima Nova";color:#1F1F1F;background:white">Repository and documentation:<br>
</span><a href="https://github.com/Data-X01/PsychLing-101"><span style="font-size:11.0pt;font-family:"Proxima Nova";color:#1155CC;background:white">https://github.com/Data-X01/PsychLing-101</span></a><o:p></o:p></p>
<p style="mso-margin-top-alt:12.0pt;margin-right:0in;margin-bottom:12.0pt;margin-left:0in">
<b><span style="font-size:11.0pt;font-family:"Proxima Nova";color:#1F1F1F;background:white">Ways to contribute</span></b><o:p></o:p></p>
<p style="mso-margin-top-alt:12.0pt;margin-right:0in;margin-bottom:12.0pt;margin-left:0in">
<span style="font-size:11.0pt;font-family:"Proxima Nova";color:#1F1F1F;background:white">Researchers can contribute in several ways:</span><o:p></o:p></p>
<p style="mso-margin-top-alt:12.0pt;margin-right:0in;margin-bottom:12.0pt;margin-left:0in">
<span style="font-size:11.0pt;font-family:"Proxima Nova";color:#1F1F1F;background:white">• Submit a dataset following the instructions in the repository
</span><a href="https://github.com/Data-X01/PsychLing-101/blob/main/README.md"><span style="font-size:11.0pt;font-family:"Proxima Nova";color:#1155CC;background:white">README</span><span style="font-size:11.0pt;font-family:"Proxima Nova";color:#1F1F1F;background:white;text-decoration:none"><br>
</span></a><span style="font-size:11.0pt;font-family:"Proxima Nova";color:#1F1F1F;background:white">• Curate an existing study from the list in the
</span><a href="https://github.com/Data-X01/PsychLing-101/blob/main/CONTRIBUTING.md"><span style="font-size:11.0pt;font-family:"Proxima Nova";color:#1155CC;background:white">CONTRIBUTING</span></a><span style="font-size:11.0pt;font-family:"Proxima Nova";color:#1F1F1F;background:white">
file<br>
• Suggest a dataset or study by opening an </span><a href="https://github.com/Data-X01/PsychLing-101/issues"><span style="font-size:11.0pt;font-family:"Proxima Nova";color:#1155CC;background:white">issue</span></a><span style="font-size:11.0pt;font-family:"Proxima Nova";color:#1F1F1F;background:white">
in the repository</span><o:p></o:p></p>
<p style="mso-margin-top-alt:12.0pt;margin-right:0in;margin-bottom:12.0pt;margin-left:0in">
<b><span style="font-size:11.0pt;font-family:"Proxima Nova";color:#1F1F1F;background:white">Outcome for contributors</span></b><o:p></o:p></p>
<p style="mso-margin-top-alt:12.0pt;margin-right:0in;margin-bottom:12.0pt;margin-left:0in">
<span style="font-size:11.0pt;font-family:"Proxima Nova";color:#1F1F1F;background:white">All dataset contributors will be included as co-authors on an overview paper describing the repository and the standardized corpus.</span><o:p></o:p></p>
<p style="mso-margin-top-alt:12.0pt;margin-right:0in;margin-bottom:12.0pt;margin-left:0in">
<b><span style="font-size:11.0pt;font-family:"Proxima Nova";color:#1F1F1F;background:white">Questions</span></b><o:p></o:p></p>
<p style="mso-margin-top-alt:12.0pt;margin-right:0in;margin-bottom:12.0pt;margin-left:0in">
<span style="font-size:11.0pt;font-family:"Proxima Nova";color:#1F1F1F;background:white">For questions or assistance, please open a</span><a href="https://github.com/Data-X01/PsychLing-101/issues"><span style="font-size:11.0pt;font-family:"Proxima Nova";color:#1155CC;background:white">
GitHub issue</span></a><span style="font-size:11.0pt;font-family:"Proxima Nova";color:#1F1F1F;background:white"> or contact:<br>
</span><a href="mailto:psychling101@gmail.com"><span style="font-size:11.0pt;font-family:"Proxima Nova";color:#1155CC;background:white">psychling101@gmail.com</span></a><o:p></o:p></p>
<p style="mso-margin-top-alt:12.0pt;margin-right:0in;margin-bottom:12.0pt;margin-left:0in">
<span style="font-size:11.0pt;font-family:"Proxima Nova";color:#1F1F1F;background:white">If you think this initiative may be of interest to colleagues or students, we would greatly appreciate you sharing it within your networks.</span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Proxima Nova";color:#1F1F1F;background:white">Best wishes,<br>
Taisiia Tikhomirova & Dirk Wulff<br>
(on behalf of the PsychLing-101 team)</span><o:p></o:p></p>
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