Datasets:
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license: other
pretty_name: UGR-MINDVOICE EEG and Audio Dataset
size_categories:
- 10GB<n<100GB
tags:
- neuroscience
- electroencephalography
- brain-computer-interface
- speech
- imagined-speech
- audio
- bids
- spanish
---
# UGR-MINDVOICE
This is an **unofficial mirror** of the public UGR-MINDVOICE OSF project. It is
not affiliated with or endorsed by the dataset contributors, their
institutions, OSF, or the authors of the benchmark paper.
## Source and provenance
- Original dataset: [OSF project `6sh5d`](https://osf.io/6sh5d/)
- Source snapshot: retrieved September 3, 2026; OSF project last modified December 19, 2025
- Dataset article: [Cortina et al., *Computer Speech & Language* 100 (2026), 101964](https://doi.org/10.1016/j.csl.2026.101964)
- Benchmark paper: [Khanday et al., arXiv:2607.27268v1](https://arxiv.org/abs/2607.27268)
- Official code: [`owaismujtaba/mind-voice`](https://github.com/owaismujtaba/mind-voice)
- Mirror-generated checksums: [`MIRROR_SHA256SUMS.txt`](./MIRROR_SHA256SUMS.txt)
The 533 source files are mirrored without modifying their contents or source
directory layout. This dataset card and the checksum manifest are the only
mirror-added files. The snapshot totals 22,025,659,310 bytes (20.51 GiB).
## Dataset summary
UGR-MINDVOICE is a multimodal corpus of 64-channel EEG sampled at 1,000 Hz and
synchronized audio from 15 native Iberian Spanish speakers across 22 sessions.
Each session includes overt and covert speech in alternating mini-blocks.
Stimuli cover all Spanish phonemes through 95 consonant-vowel syllables, 60
words balanced across six semantic categories and lexical frequencies, and 30
pseudowords. Overt productions include synchronized acoustic recordings.
The `Data/` directory is organized according to BIDS and contains the
participant and recording data. `Materials/` contains the stimuli and
experiment files, while `Analyses and Results/` contains analysis
documentation.
## Human-participant data
These are human EEG and voice recordings. Users are responsible for applicable
institutional, ethical, and legal requirements and must not attempt to identify
participants.
## License
**No dataset license is declared in the OSF project metadata or supplied data
files.** The CC BY-NC-SA 4.0 license on the arXiv benchmark and the CC BY 4.0
license on the dataset article apply to those publications; they do not by
themselves grant rights in the dataset. This mirror makes no additional reuse
grant. Contact the dataset authors if permission is required for your use.
## Citation
> Vales Cortina, I., Khanday, O. M., Ouellet, M., Pérez-Córdoba, J. L.,
> Rodríguez-San Esteban, P., Miccoli, L., Galdón, A., Olivares Granados, G., &
> Gonzalez-Lopez, J. A. (2026). UGR-MINDVOICE: A multimodal EEG-audio dataset
> for overt and covert Iberian Spanish speech production. *Computer Speech &
> Language, 100*, 101964. https://doi.org/10.1016/j.csl.2026.101964
```bibtex
@article{cortina2026ugrmindvoice,
title = {{UGR-MINDVOICE}: A Multimodal EEG-Audio Dataset for Overt and Covert Iberian Spanish Speech Production},
author = {Vales Cortina, Ibon and Khanday, Owais Mujtaba and Ouellet, Marc and P\'{e}rez-C\'{o}rdoba, Jos\'{e} L. and Rodr\'{i}guez-San Esteban, Pablo and Miccoli, Laura and Gald\'{o}n, Alberto and Olivares Granados, Gonzalo and Gonzalez-Lopez, Jose A.},
journal = {Computer Speech \& Language},
volume = {100},
pages = {101964},
year = {2026},
doi = {10.1016/j.csl.2026.101964}
}
```
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