[CogSci] Call for contributions: PsychLing-101 (open repository of psycholinguistic datasets)

[psychling101]

Dear colleagues,

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.

We would like to invite contributions to PsychLing-101, a community-driven repository that collects psycholinguistic datasets in a unified format for both traditional analyses and evaluation of large language models.

Project overview

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.

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.

To build a broad and useful resource, we welcome contributions from researchers across the field, including both large-scale datasets and smaller curated studies.

Repository and documentation:
https://github.com/Data-X01/PsychLing-101

Ways to contribute

Researchers can contribute in several ways:

•  Submit a dataset following the instructions in the repository README
<https://github.com/Data-X01/PsychLing-101/blob/main/README.md>•  Curate an existing study from the list in the CONTRIBUTING<https://github.com/Data-X01/PsychLing-101/blob/main/CONTRIBUTING.md> file
•  Suggest a dataset or study by opening an issue<https://github.com/Data-X01/PsychLing-101/issues> in the repository

Outcome for contributors

All dataset contributors will be included as co-authors on an overview paper describing the repository and the standardized corpus.

Questions

For questions or assistance, please open a GitHub issue<https://github.com/Data-X01/PsychLing-101/issues> or contact:
psychling101 at gmail.com<mailto:psychling101 at gmail.com>

If you think this initiative may be of interest to colleagues or students, we would greatly appreciate you sharing it within your networks.
Best wishes,
Taisiia Tikhomirova & Dirk Wulff
(on behalf of the PsychLing-101 team)
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