Back to datasets
Dataset assetOpen Source CommunityEEG SignalsEmotion Analysis
DEAP dataset
This dataset is used for emotion classification based on EEG signals. It records EEG and peripheral physiological signals of 32 participants while they watch 40 music videos. Participants rate each video on arousal, valence, like/dislike, dominance, and familiarity. The dataset includes all recorded signal data, a subset of positive‑video recordings for some participants, and the participants' subjective ratings.
Source
github
Created
Jan 10, 2019
Updated
May 23, 2024
Signals
1,406 views
Availability
Linked source ready
Overview
Dataset description and usage context
Dataset Overview
Dataset Name
DEAP Dataset
Dataset Purpose
Used for emotion classification based on EEG signals to enable high‑accuracy machine‑learning applications.
Experimental Design
- Participants: 32
- Stimuli: 40 music video clips
- Data Collection: Recorded participants' EEG and peripheral physiological signals
- Subjective Evaluation: Participants rated each video on arousal, valence, like/dislike, dominance, and familiarity
- Additional Recording: Positive videos for 22 participants were also recorded
Dataset Content
- All recorded signal data
- Positive‑video recordings for a subset of participants
- Participants' subjective ratings
Need downstream help?
Pair the dataset with AI analysis and content workflows.
Once the source passes your review, move straight into summarization, transformation, report drafting, or presentation generation with the JuheAI toolchain.