Add dataset card and provenance

README.md

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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}
+}
+```