torcheeg.datasets

Emotion Recognition Datasets

DEAPDataset	A multimodal dataset for the analysis of human affective states.
DREAMERDataset	A multi-modal database consisting of electroencephalogram and electrocardiogram signals recorded during affect elicitation by means of audio-visual stimuli.
SEEDDataset	The SJTU Emotion EEG Dataset (SEED), is a collection of EEG datasets provided by the BCMI laboratory, which is led by Prof.
SEEDFeatureDataset	The SJTU Emotion EEG Dataset (SEED), is a collection of EEG datasets provided by the BCMI laboratory, which is led by Prof.
SEEDIVDataset	The SEED-IV dataset provided by the BCMI laboratory, which is led by Prof.
SEEDIVFeatureDataset	The SEED-IV dataset provided by the BCMI laboratory, which is led by Prof.
SEEDVDataset	The SEED-V dataset provided by the BCMI laboratory, which is led by Prof.
SEEDVFeatureDataset	The SEED-V dataset provided by the BCMI laboratory, which is led by Prof.
AMIGOSDataset	A dataset for Multimodal research of affect, personality traits and mood on Individuals and GrOupS (AMIGOS).
MAHNOBDataset	MAHNOB-HCI is a multimodal database recorded in response to affective stimuli with the goal of emotion recognition and implicit tagging research.
BCI2022Dataset	The 2022 EMOTION_BCI competition aims at tackling the cross-subject emotion recognition challenge and provides participants with a batch of EEG data from 80 participants with known emotional state information.
MPEDFeatureDataset	The Multi-Modal Physiological Emotion Database for Discrete Emotion (MPED), a multi-modal physiological emotion database, which collects four modal physiological signals, i.e., electroencephalogram (EEG), galvanic skin response, respiration, and electrocardiogram (ECG).
FACEDDataset	The FACED dataset was provided by the Tsinghua Laboratory of Brain and Intelligence.
FACEDFeatureDataset	The FACED dataset was provided by the Tsinghua Laboratory of Brain and Intelligence.

Personal Identification Datasets

M3CVDataset

A reliable EEG-based biometric system should be able to withstand changes in an individual's mental state (cross-task test) and still be able to successfully identify an individual after several days (cross-session test).

Motor Imagery Datasets

BCICIV2aDataset

A dataset for motor imagery, BCI Competition 2008 Graz data set A (BCICIV_2a).

Mother of all BCI Benchmarks

moabb.MOABBDataset

Mother of all BCI Benchmarks (MoABB) aims at building a comprehensive benchmark of popular Brain-Computer Interface (BCI) algorithms applied on an extensive list of freely availabel EEG datasets.

Steady-state Visual Evoked Potential Datasets

TSUBenckmarkDataset	The benchmark dataset for SSVEP-Based brain-computer interfaces (TSUBenckmark) is provided by the Tsinghua BCI Lab.
SanDiegoSSVEPDataset	San Diego Square Joint Frequnecy-Phase Modulation SSVEP Dataset: lightweight dataset for studying SSVEP.

Sleep Stage Detection Datasets

HMCDataset	Haaglanden Medisch Centrum sleep staging database (HMC) is a widely-used sleep stage detection dataset.
ISRUCDataset	A polysomnographic (PSG) dataset named ISRUC-Sleep that was created aiming to help sleep researchers in their studies.
P2018Dataset	The PhysioNet/Computing in Cardiology Challenge 2018 (P2018), is a widely-used sleep stage detection dataset.
SleepEDFxDataset	Sleep-EDF Database Expanded (sleep-edfx), is a widely-used sleep stage detection dataset.

Auditory Attention Datasets

DTUDataset	This dataset contains EEG recordings from 18 subjects listening to one of two competing speech audio streams.
DTUProcessedDataset	This dataset contains EEG recordings from 18 subjects listening to one of two competing speech audio streams, after matlab preprocessing.
KULDataset	This dataset contains EEG recordings from 16 subjects listening to one of two competing speech audio streams.
KULProcessedDataset	This dataset contains EEG recordings from 16 subjects listening to one of two competing speech audio streams, after matlab preprocessing.
AVEDDataset	This dataset contains EEG recordings from 10 subjects listening to one of two competing speech audio streams under audio-video or audio-only conditions.
AVEDProcessedDataset	This dataset contains EEG recordings from 10 subjects listening to one of two competing speech audio streams under audio-video or audio-only conditions.

Customized Datasets

FolderDataset	Read EEG samples and their corresponding labels from a fixed folder structure.
CSVFolderDataset	Read meta information from CSV file and read EEG data from folder according to the meta information.
MNERawDataset	Process a list of MNE Raw objects and corresponding information dictionaries.
ConcatDataset	A dataset class that vertically concatenates two datasets.
PairDataset	A dataset class for pairing multiple datasets.