Call for contributions: PsychLing-101 (open repository of psycholinguistic datasets)
PsychLing-101 via Corpora <[email protected]>
| Newsgroups | gmane.science.linguistics.corpora |
|---|---|
| Message-ID | <[email protected]> |
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. To build a broad and useful resource, we welcome contributions from researchers across the field. We invite datasets of many types, from norming studies and behavioral experiments to eye-tracking and neuroimaging data, including both large-scale collections 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 file: https://github.com/Data-X01/PsychLing-101/blob/main/CONTRIBUTING.md • Suggest a dataset or study by opening an issue 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 or contact: [email protected] 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) _______________________________________________ Corpora mailing list -- [email protected] https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ To unsubscribe send an email to [email protected]