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).

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 available 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.

Sleep Stage Detection Datasets

SleepEDFxDataset

A dataset for studying human sleep stages (expanded version), of which a small subset was previously contributed in 2002, is now available in PhysioNet.

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.