# Dataset for Evaluating the Production of Phonotactically Legal and Illegal Pseudowords

## TL;DR

This paper introduces a dataset of brain activity recordings from French participants learning to pronounce legal and illegal pseudowords.

## Contribution

The paper provides a BIDS-compliant MEG dataset for studying phonotactic learning in French speakers.

## Key findings

- The dataset includes MEG recordings from 17 participants during a pseudoword learning task.
- Data is organized using BIDS and includes pre-processed ERF analysis for quality assurance.
- The dataset supports both task-based and resting-state analyses.

## Abstract

The “MEG-GLOUPS” dataset offers a curated collection of raw magnetoencephalography recordings from seventeen French participants engaged in a pseudoword learning task as well as resting-state activity before and after the task. A dataset called Gloups with the same participants and a similar learning task adapted to functional magnetic resonance imaging is already available. In the learning task, participants were instructed to pronounce monosyllabic pseudowords, which were presented both visually and auditorily. These pseudowords were either phonotactically legal or illegal in the participants’ native language, French. We organized the dataset according to the Brain Imaging Data Structure (BIDS), pre-processed the data and performed a minimal analysis of Event-Related Fields (ERFs), to ensure data quality and integrity of the dataset. This data collection includes comprehensive descriptions of the theoretical background, methods, data recordings, and technical validation.