Datasets:

EEGDash
/

ds006465

pretty_name: >-
  3M-CPSEED：An EEG-based Dataset for Chinese Pinyin Production in Overt,
  Silent-intended, and Imagined Speech
license: cc0-1.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - visual
  - motor
size_categories:
  - n<1K
task_categories:
  - other

3M-CPSEED：An EEG-based Dataset for Chinese Pinyin Production in Overt, Silent-intended, and Imagined Speech

Dataset ID: ds006465

Ma2025

Canonical aliases: CPSEED_3M · CPSEED

At a glance: EEG · Visual motor · healthy · 20 subjects · 80 recordings · CC0

Load this dataset

This repo is a pointer. The raw EEG data lives at its canonical source (OpenNeuro / NEMAR); EEGDash streams it on demand and returns a PyTorch / braindecode dataset.

# pip install eegdash
from eegdash import EEGDashDataset

ds = EEGDashDataset(dataset="ds006465", cache_dir="./cache")
print(len(ds), "recordings")

You can also load it by canonical alias — these are registered classes in eegdash.dataset:

from eegdash.dataset import CPSEED_3M
ds = CPSEED_3M(cache_dir="./cache")

If the dataset has been mirrored to the HF Hub in braindecode's Zarr layout, you can also pull it directly:

from braindecode.datasets import BaseConcatDataset
ds = BaseConcatDataset.pull_from_hub("EEGDash/ds006465")

Dataset metadata


Subjects	20
Recordings	80
Tasks (count)	1
Channels	32 (×58), 126 (×19), 33 (×3)
Sampling rate (Hz)	500 (×80)
Total duration (h)	36.2
Size on disk	8.2 GB
Recording type	EEG
Experimental modality	Visual
Paradigm type	Motor
Population	Healthy
Source	openneuro
License	CC0

3M-CPSEED：An EEG-based Dataset for Chinese Pinyin Production in Overt, Silent-intended, and Imagined Speech

Load this dataset

Dataset metadata

Links