EEG-based brain-computer interface (BCI) dataset for directional word recognition.
The 1 match
- [1] § Methods › Experimental paradigm ↔ utils/labels.py, lines 10 to 43 · score 0.56 · abajo, adelante, arriba, atr, derecha, izquierda · Report a mismatch
Paper
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The authors' code
Python · 43 lines · 2.1 KB · no license · 1 match
- import pandas as pd
- INFORMATIVE = frozenset({
- 'BACK1', 'BACK2', 'DOWN1', 'DOWN2', 'FORWARD1', 'FORWARD2',
- 'LEFT1', 'LEFT2', 'NEXT1', 'NEXT2', 'RIGHT1', 'RIGHT2', 'UP1', 'UP2',
- })
- SERVICE = frozenset({'GO', 'GZ'})
- # Subjects whose recording used an alternative paradigm:
- # one marker covered multiple repetitions (~1 s epochs cut post-hoc).
- ATYPICAL = frozenset({
- ('Russian', 'sub1'),
- ('Russian', 'sub3'),
- ('Russian', 'sub5'),
- ('Russian', 'sub6'),
- ('Russian', 'sub10'),
- })
- _ROWS = [
- # label id_ru id_es english russian spanish speech_type
- ('BACK1', 1, 1, 'back', 'назад', 'atrás', 'overt'),
- ('BACK2', 2, 2, 'back', 'назад', 'atrás', 'inner'),
- ('DOWN1', 3, 3, 'down', 'вниз', 'abajo', 'overt'),
- ('DOWN2', 4, 4, 'down', 'вниз', 'abajo', 'inner'),
- ('FORWARD1', 5, 5, 'forward', 'вперёд', 'adelante', 'overt'),
- ('FORWARD2', 6, 6, 'forward', 'вперёд', 'adelante', 'inner'),
- ('GO', 7, 7, 'go', 'старт', 'inicio', 'service: block start'),
- ('GZ', 8, 8, 'rest', 'покой', 'descanso', 'service: rest/baseline'),
- ('LEFT1', 9, 9, 'left', 'влево', 'izquierda', 'overt'),
- ('LEFT2', 10, 10, 'left', 'влево', 'izquierda', 'inner'),
- ('NEXT1', 11, None, 'next', 'дальше', '—', 'overt (RU only)'),
- ('NEXT2', 12, None, 'next', 'дальше', '—', 'inner (RU only)'),
- ('RIGHT1', 13, 11, 'right', 'вправо', 'derecha', 'overt'),
- ('RIGHT2', 14, 12, 'right', 'вправо', 'derecha', 'inner'),
- ('UP1', 15, 13, 'up', 'вверх', 'arriba', 'overt'),
- ('UP2', 16, 14, 'up', 'вверх', 'arriba', 'inner'),
- ]
- LABEL_INFO = pd.DataFrame(
- _ROWS,
- columns=['label', 'id_russian', 'id_spanish', 'english', 'russian', 'spanish', 'speech_type'],
- ).set_index('label')
labels.py at commit 649ec92, no license · at the source
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AvedikEkiz/inner-speech-bci
649ec92cfeec7e9868bf8c9ac0ee6444cdb3c067, 26 August 2026Availability: 1 check, the latest on 27 September 2026: the link answers
- 27 September 2026: the link answers
5 files
- example_usage.ipynb, Jupyter, 155 lines
- utils/
__init__.py , Python, 20 lines - utils/
labels.py , Python, 43 lines, 1 match - utils/
loader.py , Python, 153 lines - README.md, Text, 122 lines
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inner-speech-bci
Read it in the paper: doi.org/10.1038/s41597-026-07809-9.
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- github.com/
scottwellington/ , at github.com; found in the Zenodo archive recordfeis - zenodo:19045056, at Zenodo; found in DataCite
- zenodo:20374418, at Zenodo; found in DataCite
- zenodo:3554128, at Zenodo; found in the references
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Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 7 authors, 5 MeSH terms, 26 references.
Cite
This paper
Kostulin, D. V., Shaposhnikov, P. D., Ekizyan, A., Shevchenko, I. G., Shaposhnikov, D. G., Shcherban, I. V., & Kiroy, V. N. (2026). EEG-based brain-computer interface (BCI) dataset for directional word recognition. Scientific data, 13(1), 1195. https://
BibTeX
@article{kostulin2026eeg
author = {Kostulin, D. V. and Shaposhnikov, P. D. and Ekizyan, A.Kh. and Shevchenko, I. G. and Shaposhnikov, D. G. and Shcherban, I. V. and Kiroy, V. N.},
title = {{EEG-based brain-computer interface (BCI) dataset for directional word recognition}},
journal = {Scientific data},
year = {2026},
month = aug,
volume = {13},
number = {1},
pages = {1195},
publisher = {Nature Publishing Group},
issn = {2052-4463},
doi = {10.1038/
url = {https://
pmid = {42608413},
pmcid = {PMC13482365}
}
RIS
TY - JOUR
AU - Kostulin, D. V.
AU - Shaposhnikov, P. D.
AU - Ekizyan, A.Kh.
AU - Shevchenko, I. G.
AU - Shaposhnikov, D. G.
AU - Shcherban, I. V.
AU - Kiroy, V. N.
TI - EEG-based brain-computer interface (BCI) dataset for directional word recognition
T2 - Scientific data
J2 - Sci Data
PY - 2026
DA - 2026/
VL - 13
IS - 1
SP - 1195
SN - 2052-4463
PB - Nature Publishing Group
DO - 10.1038/
UR - https://
LA - en
ER -
CSL-JSON
{
"id": "10.1038/
"type": "article-journal",
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"container-title": "Scientific data",
"author": [
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"family": "Kostulin",
"given": "D. V."
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{
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{
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"given": "I. V."
},
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"given": "V. N."
}
],
"container-title-short":
"volume": "13",
"issue": "1",
"page": "1195",
"DOI": "10.1038/
"PMID": "42608413",
"PMCID": "PMC13482365",
"ISSN": "2052-4463",
"publisher": "Nature Publishing Group",
"URL": "https://
"language": "en",
"issued": {
"date-parts": [
[
2026,
8,
17
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]
}
}
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